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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2023.1213851</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>National screening for anxiety and depression in Saudi Arabia 2022</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Alhabeeb</surname>
<given-names>Abdulhameed Abdullah</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Al-Duraihem</surname>
<given-names>Rashed Abdullah</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alasmary</surname>
<given-names>Saeed</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alkhamaali</surname>
<given-names>Zaied</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Althumiri</surname>
<given-names>Nora A.</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1061598/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>BinDhim</surname>
<given-names>Nasser F.</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1516560/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>National Centre for Mental Health Promotion</institution>, <addr-line>Riyadh</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Saudi Food and Drug Authority</institution>, <addr-line>Riyadh</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Informed Decision-Making for Research and Studies</institution>, <addr-line>Riyadh</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff4"><sup>4</sup><institution>College of medicine, Alfaisal University</institution>, <addr-line>Riyadh</addr-line>, <country>Saudi Arabia</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Anu Molarius, Region V&#x00E4;rmland Kommunalf&#x00F6;rbund, Sweden</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Aulia Iskandarsyah, Padjadjaran University, Indonesia; Fredrik Granstr&#x00F6;m, Link&#x00F6;ping University, Sweden</p></fn>
<corresp id="c001">&#x002A;Correspondence: Nora A. Althumiri, <email>nora@althumiri.net</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1213851</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Alhabeeb, Al-Duraihem, Alasmary, Alkhamaali, Althumiri and BinDhim.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Alhabeeb, Al-Duraihem, Alasmary, Alkhamaali, Althumiri and BinDhim</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Mental health disorders, such as major depressive disorder (MDD) and generalized anxiety disorder (GAD), represent a significant public health concern in Saudi Arabia. This study aims to provide a recent mental health screening prevalence, including anxiety and depression screening in the general public and to explore the associated risk factors.</p>
</sec>
<sec>
<title>Methods</title>
<p>A cross-sectional study was conducted, employing a phone interview survey with 6,015 participants, using a quota sampling strategy to ensure equal representation of both sexes and administrative regions. The study assessed the prevalence of MDD and GAD risk and examined demographic, socioeconomic, and lifestyle factors associated with these mental health disorders.</p>
</sec>
<sec>
<title>Results</title>
<p>The national prevalence of people at risk of MDD and GAD were found to be 12.7 and 12.4%, respectively. Low diagnosis and treatment rates were observed, with only 1.5 and 0.5% of participants currently diagnosed and treated for depression and anxiety, respectively. Risk factors for MDD and GAD included female sex, lower education and income levels, smoking, and waterpipe use. Protective factors included physical activity, participation in volunteering activities and the practice of daily hobbies in the last 30&#x2009;days.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The relatively high prevalence of MDD and GAD risk and low diagnosis and treatment rates in Saudi Arabia emphasize the need for increased mental health promotion, early detection, and treatment accessibility. The study highlights the importance of addressing modifiable risk factors and fostering protective factors through targeted interventions. Future research should focus on longitudinal associations, potential mediators and moderators, and the development of culturally appropriate and evidence-based interventions to enhance mental health outcomes in the region.</p>
</sec>
</abstract>
<kwd-group>
<kwd>mental health</kwd>
<kwd>depression</kwd>
<kwd>anxiety</kwd>
<kwd>screening</kwd>
<kwd>Saudi Arabia</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="10"/>
<word-count count="6605"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Mental Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p>The importance of national screening for mental health cannot be overstated. Mental health issues, particularly depression and anxiety, have become increasingly prevalent in recent years, posing a significant public health concern (<xref ref-type="bibr" rid="ref1">1</xref>). Early identification and timely intervention have been shown to improve treatment outcomes and reduce the burden of mental health disorders on individuals, families, and society as a whole (<xref ref-type="bibr" rid="ref2">2</xref>).</p>
<p>National screening programs can help identify individuals at risk for mental health disorders and facilitate their access to appropriate care. In addition, such programs can provide valuable data for researchers and policymakers, allowing them to better understand the prevalence, risk factors, and demographic characteristics of mental health disorders, and to design targeted interventions to address these issues (<xref ref-type="bibr" rid="ref3">3</xref>). Furthermore, national screening programs can contribute to reducing the stigma associated with mental health disorders, as they underscore the importance of mental health as a public health priority (<xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>Despite the increasing recognition of the importance of mental health, many individuals with depression and anxiety remain undiagnosed and untreated. According to the World Health Organization (<xref ref-type="bibr" rid="ref5">5</xref>), the global prevalence of depression is estimated to be approximately 4.4% and anxiety disorders at about 3.6%. However, it has been estimated that up to 50% of individuals with these conditions do not receive a formal diagnosis or treatment (<xref ref-type="bibr" rid="ref6">6</xref>).</p>
<p>There are several reasons for this high rate of undiagnosed mental health disorders. First, depression and anxiety symptoms can be non-specific and easily overlooked, particularly in primary care settings (<xref ref-type="bibr" rid="ref7">7</xref>). Second, stigma and lack of awareness surrounding mental health can prevent individuals from seeking help (<xref ref-type="bibr" rid="ref8">8</xref>). Finally, limited access to mental health care services, particularly in low-and middle-income countries, can further exacerbate the problem (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>Saudi Arabia, like many other countries, faces significant challenges in addressing the mental health needs of its population (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref11">11</xref>). A recent large national screening using the Patient health questionnaire-9 (PHQ-9) and the Generalized Anxiety Disorder 7 (GAD-7) in 2020 showed that the prevalence of Major Depressive Disorders (MDD) is at 13.8% while Generalized Anxiety Disorders were at 11.8% (<xref ref-type="bibr" rid="ref12">12</xref>).</p>
<p>Several risk factors have been identified for depression and anxiety in Saudi Arabia, including female gender, low income, low educational level, unemployment, and chronic health conditions (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>). Furthermore, social factors such as marital status, family structure, and social support can also play a significant role in the development and maintenance of mental health disorders (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>).</p>
<p>Given the high prevalence of risk of MDD and GAD in Saudi Arabia and the associated burden on individuals and society, it is crucial to collect recent and frequent national statistics on these mental health disorders. Regularly updated data on the prevalence, risk factors, and demographic characteristics of depression and anxiety can help inform the development and implementation of targeted interventions and policies (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref12">12</xref>).</p>
<p>Moreover, such data can contribute to raising awareness about mental health issues and combating the stigma associated with these disorders (<xref ref-type="bibr" rid="ref4">4</xref>). Furthermore, accurate and up-to-date statistics can facilitate international comparisons and enable researchers to better understand the global context of mental health disorders, thereby informing global mental health initiatives and strategies (<xref ref-type="bibr" rid="ref3">3</xref>).</p>
<p>In conclusion, the importance of national screening for mental health, particularly for depression and anxiety, cannot be overstated. Such programs can help identify individuals at risk, facilitate access to appropriate care, and provide valuable data for researchers, policymakers, and mental health advocates (<xref ref-type="bibr" rid="ref14">14</xref>). In the context of Saudi Arabia, there is a pressing need for recent and frequent national statistics to inform targeted interventions and policies, reduce stigma, and contribute to the global understanding of mental health issues. Prior research on creating a national mental health screening surveillance system in Saudi Arabia took place in 2020, amid the COVID-19 pandemic. The system underwent testing in four phases, producing consistent and valid results (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>). To maintain ongoing mental health monitoring, the National Center for Mental Health Promotion (NCMH) launched an annual program in 2022, utilizing the knowledge and infrastructure established during the 2020 surveillance system. Additionally, the 2020 surveillance system primarily concentrated on epidemic-related factors, such as national lockdowns and social distancing measures. While the new program plans to consider current and future large-scale events, its primary focus lies in addressing demographic and preventive factors, with long-term continuity.</p>
<p>Thus, this study aims to provide a recent mental health screening prevalence, including anxiety and depression screening in the general public and to explore the associated risk factors.</p>
</sec>
<sec id="sec2" sec-type="materials|methods">
<label>2.</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1.</label>
<title>Design</title>
<p>This study is a cross-sectional, nationwide mental health screening carried out through computer-aided telephonic interviews, in October&#x2013;November 2022. The data collectors, who were skilled in conducting telephone interview research, underwent two training sessions to familiarize themselves with the interview manual before conducting the interviews. In this national survey we adopted the same methodology of the Saudi Arabia Mental Health Surveillance System (MHSS) (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref14">14</xref>) which showed high quality and validity and will allow for comparison with historical data (<xref ref-type="bibr" rid="ref15">15</xref>). Data collection and management were executed through the ZDataCloud research data collection system for enhanced organization and efficiency (<xref ref-type="bibr" rid="ref16">16</xref>).</p>
</sec>
<sec id="sec4">
<label>2.2.</label>
<title>Participants and recruitment</title>
<p>Saudi Arabia residents, adults aged 18 and above were enlisted using a randomly generated phone number list, encompassing all 13 administrative regions of Saudi Arabia. Individuals were reached via telephone up to three attempts. In case of non-response, an alternative potential participant with a comparable demographic background (age, gender, area) was approached. The data collectors sought verbal consent from participants and recorded it in the consent field of the data collection system. If a participant did not give consent, an alternative individual with a similar demographic background (age, gender, area) was approached instead.</p>
</sec>
<sec id="sec5">
<label>2.3.</label>
<title>Sample size</title>
<p>The SMHNS employed a proportional quota sampling method to attain a balanced distribution of participants, stratified according to age, gender, and region within and among the 13 administrative divisions of Saudi Arabia. Two age categories were formed based on the Saudi median adult age of 36&#x2009;years (one category consisted of individuals aged 18 to 36&#x2009;years, while the other comprised those aged 37&#x2009;years and above). This resulted in a quota of 52 for this national survey, which contributed to enhancing the sample&#x2019;s diversity and minimizing the likelihood of nonprobability sampling bias.</p>
<p>Based on the desired depth of sub-analysis, we determined the sample size, which involved comparing age and sex groups across regions with a medium effect size of roughly 0.26, 80% power, and a 95% confidence level (<xref ref-type="bibr" rid="ref17">17</xref>). Consequently, each quota was recommended to have 115 participants, resulting in a total of 460 individuals per region and an overall sum of 5,980 participants as a total sample. Upon fulfilling the quota sample, participants with comparable attributes were not allowed to partake in the research.</p>
</sec>
<sec id="sec6">
<label>2.4.</label>
<title>Data collection</title>
<p>The quota sampling technique is an automated procedure, as it is managed automatically by the ZDataCloud data collection system without human intervention, which also reduces sampling bias (<xref ref-type="bibr" rid="ref16">16</xref>). As the data collection system closed the quotas after achieving only the targeted sample and as a group of phone call attempts was happening concurrently, on some occasions, more than one participant could pass the eligibility process at the same time, increasing the sample size above the target for some of the quotas. Thus, a slightly larger sample size maybe recruited for some quotas. Since the research utilized automated electronic data collection and management, no missing values were present; additionally the ZDataCloud incorporates a data integrity verification feature to deter data collectors from inputting incorrect information.</p>
</sec>
<sec id="sec7">
<label>2.5.</label>
<title>Study variables</title>
<p>The study comprises multiple sections, including demographic data, health lifestyle and behavior, and psychological well-being screening. During the data compilation phase, demographic factors including age, sex, administrative area, educational achievement, income level, and marital status were collected. Furthermore, details regarding other health-related variables, existing depression or anxiety diagnosis, obesity, physical activity, practicing hobbies, volunteering, and smoking habits, were also acquired.</p>
<p>In this study, the primary instrument employed for screening mental health was the Patient Health Questionnaire (PHQ-9) (<xref ref-type="bibr" rid="ref18 ref19 ref20">18&#x2013;20</xref>). The choice of PHQ-9 over other depression assessment methods was based on several factors (1): its validation across different age categories, such as adolescents, adults, and older individuals (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref21">21</xref>) (2); its consistent performance irrespective of administration mode (e.g., self-reported by patients, administered in person or <italic>via</italic> phone by interviewers, or through touch-screen devices) (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref22">22</xref>) (3); its proven validity and reliability for depression screening in a Saudi sample (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref23">23</xref>). Additionally, the PHQ-9 has been employed in numerous global assessments and monitoring systems for mental health evaluation, such as the CDC&#x2019;s utilization in the United States for the Behavioral Risk Factor Surveillance System and the National Health and Nutrition Examination Survey; this also enables international comparisons (<xref ref-type="bibr" rid="ref24">24</xref>).</p>
<p>Finally, the Generalized Anxiety Disorder-7 (GAD-7) was employed to screen for anxiety levels, exhibiting strong validity and reliability across multiple studies (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref25">25</xref>). Furthermore, GAD-7 has proven its validity in screenings of general populations, inclusive of Arabic speakers within the Saudi community (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref27">27</xref>).</p>
</sec>
<sec id="sec8">
<label>2.6.</label>
<title>Outcome measures and variables transformation</title>
<p>In order to measure the occurrence of risk of depression within our sample, we applied a score exceeding 10, which demonstrated the most favorable balance between sensitivity, 0.89 (95% CI 0.75 to 0.96), and specificity, 0.89 (95% CI 0.79 to 0.94), based on the combined findings from 10 studies (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref28">28</xref>).</p>
<p>Regarding the GAD-7, the collective sensitivity and specificity values seemed to be satisfactory at a threshold of 8 [sensitivity: 0.83 (95% CI 0.71&#x2013;0.91), specificity: 0.84 (95% CI 0.70&#x2013;0.92)], while cut-off scores ranging from 7 to 10 also exhibited comparable combined sensitivity/specificity estimates (<xref ref-type="bibr" rid="ref29">29</xref>). Moreover, in relation to the GAD-7 anxiety metric, a score of 10 or higher presented the ideal cut-off point in both the literature and prior research conducted on Saudi demographics (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref26">26</xref>).</p>
<p>The study also adhered to the World Health Organization&#x2019;s (WHO) global recommendations for adult physical activity (ages 18&#x2013;64), which include (<xref ref-type="bibr" rid="ref1">1</xref>): 75&#x2009;min of vigorous intensity physical activity (VIPA) per week, or (<xref ref-type="bibr" rid="ref2">2</xref>) 150&#x2009;min of moderate intensity physical activity (MIPA) per week (<xref ref-type="bibr" rid="ref30">30</xref>). Based on the self-reported information gathered from participants through interview questionnaires (e.g., exercise duration, frequency, and intensity per week), two distinct outcome variables were established to determine if the guidelines were met: an adequate level of physical activity (ALPA) (consisting of a minimum of 150&#x2009;min of MIPA weekly and/or at least 75&#x2009;min of VIPA weekly) and a suboptimal level of physical activity (LLPA) (falling below 150&#x2009;min of MIPA and/or 75&#x2009;min of VIPA).</p>
<p>Other variables were presented as obtained with no transformation processes.</p>
</sec>
<sec id="sec9">
<label>2.7.</label>
<title>Statistical analysis</title>
<p>The prevalence was reported as proportion of the overall sample. For quantitative variables with a normal distribution, means and standard deviations (SD) are provided, while medians and ranges are used when appropriate. Qualitative variables are displayed as percentages and confidence intervals (CIs) and are compared using Pearson&#x2019;s chi-square test. Multivariate regression analysis (logistic regression) was used to investigate risk factors related to the susceptibility of Major Depressive Disorder (MDD) or Generalized Anxiety Disorder (GAD).</p>
</sec>
</sec>
<sec id="sec10" sec-type="results">
<label>3.</label>
<title>Results</title>
<sec id="sec11">
<label>3.1.</label>
<title>Demographics</title>
<p>Of the 9,248 potential participants contacted, 6,015 from the 13 administrative regions of Saudi Arabia completed the phone interview, with a response rate of 65.04%, including those who did not answer on 3 occasions. Out of the total participants as planned in the quota sampling, 50% were female. The mean age was 36.45 (SD 12.45; range: 18&#x2013;90). <xref rid="tab1" ref-type="table">Table 1</xref> shows the demographic distribution of the sample.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Participant demographics in the sample.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristics</th>
<th align="center" valign="top"><italic>N</italic> (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="2">Age Groups</td>
</tr>
<tr>
<td align="left" valign="middle">18&#x2013;19</td>
<td align="char" valign="middle" char="(">164 (2.7)</td>
</tr>
<tr>
<td align="left" valign="middle">20&#x2013;29</td>
<td align="char" valign="middle" char="(">1772 (29.5)</td>
</tr>
<tr>
<td align="left" valign="middle">30&#x2013;39</td>
<td align="char" valign="middle" char="(">1,662 (27.6)</td>
</tr>
<tr>
<td align="left" valign="middle">40&#x2013;49</td>
<td align="char" valign="middle" char="(">1,429 (23.8)</td>
</tr>
<tr>
<td align="left" valign="middle">50&#x2013;59</td>
<td align="char" valign="middle" char="(">671 (11.2)</td>
</tr>
<tr>
<td align="left" valign="middle">60+</td>
<td align="char" valign="middle" char="(">317 (5.3)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Sex</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="char" valign="middle" char="(">3,007 (50.0)</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="char" valign="middle" char="(">3,008 (50.0)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Education Level</td>
</tr>
<tr>
<td align="left" valign="middle">Less than a bachelor&#x2019;s degree</td>
<td align="char" valign="middle" char="(">3,008 (50.0)</td>
</tr>
<tr>
<td align="left" valign="middle">Bachelor&#x2019;s degree and above</td>
<td align="char" valign="middle" char="(">3,007 (50)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Income Level</td>
</tr>
<tr>
<td align="left" valign="middle">Less than 5&#x2009;K SAR/Month</td>
<td align="char" valign="middle" char="(">1,610 (26.8)</td>
</tr>
<tr>
<td align="left" valign="middle">More than 5&#x2009;K SAR/Month</td>
<td align="char" valign="middle" char="(">3,031 (50.4)</td>
</tr>
<tr>
<td align="left" valign="middle">No Stable monthly income</td>
<td align="char" valign="middle" char="(">1,374 (22.8)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Marital Status</td>
</tr>
<tr>
<td align="left" valign="middle">Currently married</td>
<td align="char" valign="middle" char="(">2,335 (38.8)</td>
</tr>
<tr>
<td align="left" valign="middle">Currently not married</td>
<td align="char" valign="middle" char="(">3,680 (61.2)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="2">Region</td>
</tr>
<tr>
<td align="left" valign="middle">Asir</td>
<td align="char" valign="middle" char="(">461 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Baha</td>
<td align="char" valign="middle" char="(">460 (7.6)</td>
</tr>
<tr>
<td align="left" valign="middle">Eastern region</td>
<td align="char" valign="middle" char="(">463 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Hail</td>
<td align="char" valign="middle" char="(">463 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Jazan</td>
<td align="char" valign="middle" char="(">461 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Al Jouf</td>
<td align="char" valign="middle" char="(">461 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Madinah</td>
<td align="char" valign="middle" char="(">467 (7.8)</td>
</tr>
<tr>
<td align="left" valign="middle">Makkah</td>
<td align="char" valign="middle" char="(">462 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Najran</td>
<td align="char" valign="middle" char="(">462 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Northern border</td>
<td align="char" valign="middle" char="(">467 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Qassim</td>
<td align="char" valign="middle" char="(">463 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Riyadh</td>
<td align="char" valign="middle" char="(">462 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Tabuk</td>
<td align="char" valign="middle" char="(">463 (7.7)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec12">
<label>3.2.</label>
<title>Mental health risks and associated variables</title>
<p>The sample prevalence of people at risk of MDD (PHQ-9&#x2014;Cut-Off above 10) was 12.7%. The national prevalence of people at risk of GAD (GAD-7&#x2014;Cut-Off above 10) was 12.4%.</p>
<p><xref rid="tab2" ref-type="table">Table 2</xref> shows the association between risk of MDD and all other variables. Overall, the following variables were significantly associated with risk of MDD (sex, region, education, monthly income, smoking cigarette, waterpipe smoking, physical activity, volunteering in the last 30&#x2009;days, and practicing a daily hobby in the last 30&#x2009;day).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Cross-tabulation of all variables with risk of MDD.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="center" valign="top" colspan="2">At risk of MDD <italic>n</italic> (%)</th>
<th align="center" valign="top" rowspan="2">Total <italic>n</italic> (%)</th>
<th align="center" valign="top" rowspan="2"><italic>P</italic> value chi-square</th>
</tr>
<tr>
<th align="center" valign="top">Yes</th>
<th align="center" valign="top">No</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="4">Sex</td>
<td align="char" valign="middle" char="." rowspan="3">0.002</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="char" valign="middle" char="(">342 (11.4)</td>
<td align="char" valign="middle" char="(">2,665 (88.6)</td>
<td align="char" valign="middle" char="(">3,007 (50.0)</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="char" valign="middle" char="(">424 (14.1)</td>
<td align="char" valign="middle" char="(">2,584 (85.9)</td>
<td align="char" valign="middle" char="(">3,008 (50.0)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Age groups (Year)</td>
<td align="char" valign="middle" char="." rowspan="7">0.874</td>
</tr>
<tr>
<td align="left" valign="middle">18&#x2013;19</td>
<td align="char" valign="middle" char="(">22 (13.4)</td>
<td align="char" valign="middle" char="(">142 (86.6)</td>
<td align="char" valign="middle" char="(">164 (2.7)</td>
</tr>
<tr>
<td align="left" valign="middle">20&#x2013;29</td>
<td align="char" valign="middle" char="(">229 (12.9)</td>
<td align="char" valign="middle" char="(">1,543 (87.1)</td>
<td align="char" valign="middle" char="(">1772 (29.5)</td>
</tr>
<tr>
<td align="left" valign="middle">30&#x2013;39</td>
<td align="char" valign="middle" char="(">210 (12.6)</td>
<td align="char" valign="middle" char="(">1,452 (87.4)</td>
<td align="char" valign="middle" char="(">1,662 (27.6)</td>
</tr>
<tr>
<td align="left" valign="middle">40&#x2013;49</td>
<td align="char" valign="middle" char="(">174 (12.2)</td>
<td align="char" valign="middle" char="(">1,255 (87.8)</td>
<td align="char" valign="middle" char="(">1,429 (23.8)</td>
</tr>
<tr>
<td align="left" valign="middle">50&#x2013;59</td>
<td align="char" valign="middle" char="(">84 (12.5)</td>
<td align="char" valign="middle" char="(">587 (87.5)</td>
<td align="char" valign="middle" char="(">671 (11.2)</td>
</tr>
<tr>
<td align="left" valign="middle">60+</td>
<td align="char" valign="middle" char="(">47 (14.8)</td>
<td align="char" valign="middle" char="(">270 (85.2)</td>
<td align="char" valign="middle" char="(">317 (5.3)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Regions</td>
<td align="char" valign="middle" char="." rowspan="14">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Asir</td>
<td align="char" valign="middle" char="(">77 (16.7)</td>
<td align="char" valign="middle" char="(">384 (83.3)</td>
<td align="char" valign="middle" char="(">461 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Baha</td>
<td align="char" valign="middle" char="(">43 (9.3)</td>
<td align="char" valign="middle" char="(">417 (90.7)</td>
<td align="char" valign="middle" char="(">460 (7.6)</td>
</tr>
<tr>
<td align="left" valign="middle">Eastern region</td>
<td align="char" valign="middle" char="(">65 (14.0)</td>
<td align="char" valign="middle" char="(">398 (86.0)</td>
<td align="char" valign="middle" char="(">463 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Hail</td>
<td align="char" valign="middle" char="(">38 (8.2)</td>
<td align="char" valign="middle" char="(">425 (91.4)</td>
<td align="char" valign="middle" char="(">463 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Jazan</td>
<td align="char" valign="middle" char="(">80 (17.4)</td>
<td align="char" valign="middle" char="(">381 (82.6)</td>
<td align="char" valign="middle" char="(">461 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Al Jouf</td>
<td align="char" valign="middle" char="(">51 (11.1)</td>
<td align="char" valign="middle" char="(">410 (88.9)</td>
<td align="char" valign="middle" char="(">461 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Madinah</td>
<td align="char" valign="middle" char="(">63 (13.5)</td>
<td align="char" valign="middle" char="(">404 (86.5)</td>
<td align="char" valign="middle" char="(">467 (7.8)</td>
</tr>
<tr>
<td align="left" valign="middle">Makkah</td>
<td align="char" valign="middle" char="(">71 (15.4)</td>
<td align="char" valign="middle" char="(">391 (84.6)</td>
<td align="char" valign="middle" char="(">462 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Najran</td>
<td align="char" valign="middle" char="(">90 (19.5)</td>
<td align="char" valign="middle" char="(">372 (80.5)</td>
<td align="char" valign="middle" char="(">462 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Northern border</td>
<td align="char" valign="middle" char="(">47 (10.1)</td>
<td align="char" valign="middle" char="(">420 (89.9)</td>
<td align="char" valign="middle" char="(">467 (7.8)</td>
</tr>
<tr>
<td align="left" valign="middle">Qassim</td>
<td align="char" valign="middle" char="(">38 (8.2)</td>
<td align="char" valign="middle" char="(">425 (91.8)</td>
<td align="char" valign="middle" char="(">463 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Riyadh</td>
<td align="char" valign="middle" char="(">63 (13.6)</td>
<td align="char" valign="middle" char="(">399 (86.4)</td>
<td align="char" valign="middle" char="(">462 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Tabuk</td>
<td align="char" valign="middle" char="(">40 (8.6)</td>
<td align="char" valign="middle" char="(">423 (91.4)</td>
<td align="char" valign="middle" char="(">463 (7.7)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Education</td>
<td align="char" valign="middle" char="." rowspan="3">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Less than bachelor&#x2019;s degree</td>
<td align="char" valign="middle" char="(">434 (14.4)</td>
<td align="char" valign="middle" char="(">2,574 (85.6)</td>
<td align="char" valign="middle" char="(">3,008 (50.0)</td>
</tr>
<tr>
<td align="left" valign="middle">bachelor&#x2019;s degree or above</td>
<td align="char" valign="middle" char="(">332 (11.0)</td>
<td align="char" valign="middle" char="(">2,675 (89.0)</td>
<td align="char" valign="middle" char="(">3,007 (50.0)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Monthly Income</td>
<td align="char" valign="middle" char="." rowspan="5">0.007</td>
</tr>
<tr>
<td align="left" valign="middle">Less than 5&#x2009;K SAR/Month</td>
<td align="char" valign="middle" char="(">241 (15.0)</td>
<td align="char" valign="middle" char="(">1,369 (85.0)</td>
<td align="char" valign="middle" char="(">1,610 (26.8)</td>
</tr>
<tr>
<td align="left" valign="middle">More than 5&#x2009;K SAR/Month</td>
<td align="char" valign="middle" char="(">358 (11.8)</td>
<td align="char" valign="middle" char="(">2,673 (88.2)</td>
<td align="char" valign="middle" char="(">3,031 (50.4)</td>
</tr>
<tr>
<td align="left" valign="middle">No Stable monthly income</td>
<td align="char" valign="middle" char="(">167 (12.2)</td>
<td align="char" valign="middle" char="(">1,207 (87.8)</td>
<td align="char" valign="middle" char="(">1,374 (22.8)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Marital Status</td>
</tr>
<tr>
<td align="left" valign="middle">Married</td>
<td align="char" valign="middle" char="(">449 (12.2)</td>
<td align="char" valign="middle" char="(">3,231 (87.8)</td>
<td align="char" valign="middle" char="(">3,680 (61.2)</td>
<td align="char" valign="middle" char="." rowspan="2">0.119</td>
</tr>
<tr>
<td align="left" valign="middle">Single</td>
<td align="char" valign="middle" char="(">317 (13.6)</td>
<td align="char" valign="middle" char="(">2018 (86.4)</td>
<td align="char" valign="middle" char="(">2,335 (38.8)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Smoking Cigarette</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="middle" char="(">182 (16.2)</td>
<td align="char" valign="middle" char="(">942 (83.8)</td>
<td align="char" valign="middle" char="(">1,124 (18.7)</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="middle" char="(">584 (11.9)</td>
<td align="char" valign="middle" char="(">4,307 (88.1)</td>
<td align="char" valign="middle" char="(">4,891 (81.3)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Waterpipe Smoking</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="middle" char="(">142 (17.6)</td>
<td align="char" valign="middle" char="(">667 (82.4)</td>
<td align="char" valign="middle" char="(">809 (13.4)</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="middle" char="(">624 (12.0)</td>
<td align="char" valign="middle" char="(">4,582 (88.0)</td>
<td align="char" valign="middle" char="(">5,206 (86.6)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Physical Activity</td>
</tr>
<tr>
<td align="left" valign="middle">ALPA</td>
<td align="char" valign="middle" char="(">121 (9.7)</td>
<td align="char" valign="middle" char="(">1,128 (90.3)</td>
<td align="char" valign="middle" char="(">1,249 (20.8)</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">LLPA</td>
<td align="char" valign="middle" char="(">645 (13.5)</td>
<td align="char" valign="middle" char="(">4,121 (86.5)</td>
<td align="char" valign="middle" char="(">4,766 (79.2)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Volunteering in the last 30&#x2009;days</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="middle" char="(">75 (9.8)</td>
<td align="char" valign="middle" char="(">668 (90.2)</td>
<td align="char" valign="middle" char="(">763 (12.7)</td>
<td align="char" valign="middle" char="." rowspan="2">0.01</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="middle" char="(">691 (13.2)</td>
<td align="char" valign="middle" char="(">4,561 (86.8)</td>
<td align="char" valign="middle" char="(">5,252 (87.3)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Practicing a daily hobby in the last 30&#x2009;day</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="middle" char="(">139 (9.9)</td>
<td align="char" valign="middle" char="(">1,271 (90.1)</td>
<td align="char" valign="middle" char="(">1,410 (23.4)</td>
<td align="char" valign="middle" char="." rowspan="3">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="middle" char="(">627 (13.6)</td>
<td align="char" valign="middle" char="(">3,978 (86.4)</td>
<td align="char" valign="middle" char="(">4,605 (76.6)</td>
</tr>
<tr>
<td align="left" valign="middle">Grand Total</td>
<td align="char" valign="middle" char="(">766</td>
<td align="char" valign="middle" char="(">5,249</td>
<td align="char" valign="middle" char="(">6,015</td>
</tr>
</tbody>
</table>
</table-wrap>
<p><xref rid="tab3" ref-type="table">Table 3</xref> shows the association between risk of GAD and all other variables. Overall, the following variables were significantly associated with risk of GAD (sex, region, education, monthly income, smoking cigarette, waterpipe smoking, physical activity, volunteering in the last 30&#x2009;days, and practicing a daily hobby in the last 30&#x2009;day).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Cross-tabulation of all variables with risk of GAD.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="center" valign="top" colspan="2">At risk of GAD <italic>n</italic> (%)</th>
<th align="center" valign="top" rowspan="2">Total <italic>n</italic> (%)</th>
<th align="center" valign="top" rowspan="2"><italic>P</italic> value chi-square</th>
</tr>
<tr>
<th align="center" valign="top">Yes</th>
<th align="center" valign="top">No</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="4">Sex</td>
<td align="char" valign="middle" char="." rowspan="3">0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="char" valign="middle" char="(">329 (10.9)</td>
<td align="char" valign="middle" char="(">2,678 (89.1)</td>
<td align="char" valign="middle" char="(">3,007 (500.0)</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="char" valign="middle" char="(">418 (13.9)</td>
<td align="char" valign="middle" char="(">2,590 (86.1)</td>
<td align="char" valign="middle" char="(">3,008 (500.0)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Age Groups (Year)</td>
<td align="char" valign="middle" char="." rowspan="7">0.278</td>
</tr>
<tr>
<td align="left" valign="middle">18&#x2013;19</td>
<td align="char" valign="middle" char="(">26 (15.9)</td>
<td align="char" valign="middle" char="(">138 (84.1)</td>
<td align="char" valign="middle" char="(">164 (20.7)</td>
</tr>
<tr>
<td align="left" valign="middle">20&#x2013;29</td>
<td align="char" valign="middle" char="(">214 (12.1)</td>
<td align="char" valign="middle" char="(">1,558 (87.9)</td>
<td align="char" valign="middle" char="(">1772 (290.5)</td>
</tr>
<tr>
<td align="left" valign="middle">30&#x2013;39</td>
<td align="char" valign="middle" char="(">194 (11.7)</td>
<td align="char" valign="middle" char="(">1,468 (88.3)</td>
<td align="char" valign="middle" char="(">1,662 (270.6)</td>
</tr>
<tr>
<td align="left" valign="middle">40&#x2013;49</td>
<td align="char" valign="middle" char="(">176 (12.3)</td>
<td align="char" valign="middle" char="(">1,253 (87.7)</td>
<td align="char" valign="middle" char="(">1,429 (230.8)</td>
</tr>
<tr>
<td align="left" valign="middle">50&#x2013;59</td>
<td align="char" valign="middle" char="(">87 (13.0)</td>
<td align="char" valign="middle" char="(">584 (87.0)</td>
<td align="char" valign="middle" char="(">671 (110.2)</td>
</tr>
<tr>
<td align="left" valign="middle">60 +</td>
<td align="char" valign="middle" char="(">50 (15.8)</td>
<td align="char" valign="middle" char="(">267 (84.2)</td>
<td align="char" valign="middle" char="(">317 (50.3)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Regions</td>
<td align="char" valign="middle" char="." rowspan="14">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Asir</td>
<td align="char" valign="middle" char="(">64 (13.9)</td>
<td align="char" valign="middle" char="(">397 (86.1)</td>
<td align="char" valign="middle" char="(">461 (70.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Baha</td>
<td align="char" valign="middle" char="(">41 (8.9)</td>
<td align="char" valign="middle" char="(">419 (91.1)</td>
<td align="char" valign="middle" char="(">460 (70.6)</td>
</tr>
<tr>
<td align="left" valign="middle">Eastern region</td>
<td align="char" valign="middle" char="(">96 (20.7)</td>
<td align="char" valign="middle" char="(">367 (79.3)</td>
<td align="char" valign="middle" char="(">463 (70.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Hail</td>
<td align="char" valign="middle" char="(">43 (9.3)</td>
<td align="char" valign="middle" char="(">420 (90.7)</td>
<td align="char" valign="middle" char="(">463 (70.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Jazan</td>
<td align="char" valign="middle" char="(">78 (16.9)</td>
<td align="char" valign="middle" char="(">383 (83.1)</td>
<td align="char" valign="middle" char="(">461 (70.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Al Jouf</td>
<td align="char" valign="middle" char="(">53 (11.5)</td>
<td align="char" valign="middle" char="(">408 (88.5)</td>
<td align="char" valign="middle" char="(">461 (70.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Madinah</td>
<td align="char" valign="middle" char="(">51 (10.9)</td>
<td align="char" valign="middle" char="(">416 (89.1)</td>
<td align="char" valign="middle" char="(">467 (70.8)</td>
</tr>
<tr>
<td align="left" valign="middle">Makkah</td>
<td align="char" valign="middle" char="(">60 (13.0)</td>
<td align="char" valign="middle" char="(">402 (87.0)</td>
<td align="char" valign="middle" char="(">462 (70.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Najran</td>
<td align="char" valign="middle" char="(">108 (23.4)</td>
<td align="char" valign="middle" char="(">354 (76.6)</td>
<td align="char" valign="middle" char="(">462 (70.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Northern border</td>
<td align="char" valign="middle" char="(">37 (7.9)</td>
<td align="char" valign="middle" char="(">430 (92.1)</td>
<td align="char" valign="middle" char="(">467 (70.8)</td>
</tr>
<tr>
<td align="left" valign="middle">Qassim</td>
<td align="char" valign="middle" char="(">24 (5.2)</td>
<td align="char" valign="middle" char="(">439 (94.8)</td>
<td align="char" valign="middle" char="(">463 (70.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Riyadh</td>
<td align="char" valign="middle" char="(">48 (10.4)</td>
<td align="char" valign="middle" char="(">414 (89.6)</td>
<td align="char" valign="middle" char="(">462 (70.7)</td>
</tr>
<tr>
<td align="left" valign="middle">Tabuk</td>
<td align="char" valign="middle" char="(">44 (9.5)</td>
<td align="char" valign="middle" char="(">419 (90.5)</td>
<td align="char" valign="middle" char="(">463 (70.7)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Education</td>
<td align="char" valign="middle" char="." rowspan="3">0.039</td>
</tr>
<tr>
<td align="left" valign="middle">Less than bachelor&#x2019;s degree</td>
<td align="char" valign="middle" char="(">400 (13.3)</td>
<td align="char" valign="middle" char="(">26.8 (86.7)</td>
<td align="char" valign="middle" char="(">3,008 (500.0)</td>
</tr>
<tr>
<td align="left" valign="middle">bachelor&#x2019;s degree or above</td>
<td align="char" valign="middle" char="(">347 (11.5)</td>
<td align="char" valign="middle" char="(">2,660 (88.5)</td>
<td align="char" valign="middle" char="(">3,007 (500.0)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Monthly Income</td>
<td align="char" valign="middle" char="." rowspan="5">0.041</td>
</tr>
<tr>
<td align="left" valign="middle">Less than 5&#x2009;K SAR/Month</td>
<td align="char" valign="middle" char="(">224 (13.9)</td>
<td align="char" valign="middle" char="(">1,386 (86.1)</td>
<td align="char" valign="middle" char="(">1,610 (260.8)</td>
</tr>
<tr>
<td align="left" valign="middle">More than 5&#x2009;K SAR/Month</td>
<td align="char" valign="middle" char="(">346 (11.4)</td>
<td align="char" valign="middle" char="(">2,685 (88.6)</td>
<td align="char" valign="middle" char="(">3,031 (500.4)</td>
</tr>
<tr>
<td align="left" valign="middle">No Stable monthly income</td>
<td align="char" valign="middle" char="(">117 (12.9)</td>
<td align="char" valign="middle" char="(">1,197 (87.1)</td>
<td align="char" valign="middle" char="(">1,374 (220.8)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Marital Status</td>
</tr>
<tr>
<td align="left" valign="middle">Married</td>
<td align="char" valign="middle" char="(">466 (12.7)</td>
<td align="char" valign="middle" char="(">3,214 (87.3)</td>
<td align="char" valign="middle" char="(">3,680 (610.2)</td>
<td align="char" valign="middle" char="." rowspan="2">0.471</td>
</tr>
<tr>
<td align="left" valign="middle">Single</td>
<td align="char" valign="middle" char="(">281 (12.0)</td>
<td align="char" valign="middle" char="(">2054 (88.0)</td>
<td align="char" valign="middle" char="(">2,335 (380.8)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Smoking Cigarette</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="middle" char="(">167 (14.9)</td>
<td align="char" valign="middle" char="(">957 (85.1)</td>
<td align="char" valign="middle" char="(">1,124 (180.7)</td>
<td align="char" valign="middle" char="." rowspan="2">0.006</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="middle" char="(">580 (11.9)</td>
<td align="char" valign="middle" char="(">4,311 (88.1)</td>
<td align="char" valign="middle" char="(">4,891 (810.3)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Waterpipe Smoking</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="middle" char="(">133 (16.4)</td>
<td align="char" valign="middle" char="(">676 (83.6)</td>
<td align="char" valign="middle" char="(">809 (130.4)</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="middle" char="(">614 (11.8)</td>
<td align="char" valign="middle" char="(">4,592 (88.2)</td>
<td align="char" valign="middle" char="(">614 (860.6)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Physical Activity</td>
</tr>
<tr>
<td align="left" valign="middle">ALPA</td>
<td align="char" valign="middle" char="(">130 (10.4)</td>
<td align="char" valign="middle" char="(">1,119 (89.6)</td>
<td align="char" valign="middle" char="(">1,249 (200.8)</td>
<td align="char" valign="middle" char="." rowspan="2">0.015</td>
</tr>
<tr>
<td align="left" valign="middle">LLPA</td>
<td align="char" valign="middle" char="(">617 (12.9)</td>
<td align="char" valign="middle" char="(">4,149 (87.1)</td>
<td align="char" valign="middle" char="(">4,766 (790.2)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Volunteering in the last 30&#x2009;days</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="middle" char="(">64 (8.4)</td>
<td align="char" valign="middle" char="(">699 (91.6)</td>
<td align="char" valign="middle" char="(">763 (120.7)</td>
<td align="char" valign="middle" char="." rowspan="2">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="middle" char="(">683 (13.0)</td>
<td align="char" valign="middle" char="(">4,569 (87.0)</td>
<td align="char" valign="middle" char="(">5,252 (870.3)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5">Practicing a daily hobby in the last 30&#x2009;days</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="middle" char="(">137 (9.7)</td>
<td align="char" valign="middle" char="(">1,273 (90.3)</td>
<td align="char" valign="middle" char="(">1,410 (230.4)</td>
<td align="char" valign="middle" char="." rowspan="3">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="middle" char="(">610 (13.2)</td>
<td align="char" valign="middle" char="(">3,995 (86.8)</td>
<td align="char" valign="middle" char="(">4,605 (760.6)</td>
</tr>
<tr>
<td align="left" valign="middle">Grand Total</td>
<td align="center" valign="middle">766</td>
<td align="center" valign="middle">5,249</td>
<td align="center" valign="middle">6,015</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Only 93 (1.5%) participants are currently diagnosed with depression and on-treatment, and only 32 (0.5%) participants are currently diagnosed with anxiety and on-treatment.</p>
<p>Finally, logistic regression model was preformed including all the variables to further explore which of the variables are more likely to be associated with risk of MDD and GAD. As shown in <xref rid="tab4" ref-type="table">Table 4</xref>, Sex, Region, Monthly Income, Education, practicing a daily hobby in the last 30&#x2009;days, volunteering in the last 30&#x2009;days, smoking cigarette, waterpipe smoking, and physical activity were significantly associated with MDD risk.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>MDD risk regression model.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2"/>
<th align="center" valign="top" rowspan="2">Value of <italic>p</italic></th>
<th align="center" valign="top" rowspan="2">Exp(B)</th>
<th align="center" valign="top" colspan="2">95% C.I. for EXP(B)</th>
</tr>
<tr>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Sex (Female)</td>
<td align="char" valign="middle" char="."><bold>&#x003C;0.001</bold></td>
<td align="char" valign="middle" char=".">1.472</td>
<td align="char" valign="middle" char=".">1.243</td>
<td align="char" valign="middle" char=".">1.745</td>
</tr>
<tr>
<td align="left" valign="middle">Region (Qassim as reference)</td>
<td align="char" valign="middle" char="."><bold>&#x003C;0.001</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Al Jouf</td>
<td align="char" valign="middle" char=".">0.358</td>
<td align="char" valign="middle" char=".">1.233</td>
<td align="char" valign="middle" char=".">0.789</td>
<td align="char" valign="middle" char=".">1.927</td>
</tr>
<tr>
<td align="left" valign="middle">Northern border</td>
<td align="char" valign="middle" char=".">0.612</td>
<td align="char" valign="middle" char=".">1.124</td>
<td align="char" valign="middle" char=".">0.715</td>
<td align="char" valign="middle" char=".">1.768</td>
</tr>
<tr>
<td align="left" valign="middle">Tabuk</td>
<td align="char" valign="middle" char=".">1.000</td>
<td align="char" valign="middle" char=".">1.000</td>
<td align="char" valign="middle" char=".">0.626</td>
<td align="char" valign="middle" char=".">1.596</td>
</tr>
<tr>
<td align="left" valign="middle">Hail</td>
<td align="char" valign="middle" char=".">0.681</td>
<td align="char" valign="middle" char=".">0.906</td>
<td align="char" valign="middle" char=".">0.564</td>
<td align="char" valign="middle" char=".">1.454</td>
</tr>
<tr>
<td align="left" valign="middle">Madinah</td>
<td align="char" valign="middle" char="."><bold>0.022</bold></td>
<td align="char" valign="middle" char=".">1.650</td>
<td align="char" valign="middle" char=".">1.074</td>
<td align="char" valign="middle" char=".">2.534</td>
</tr>
<tr>
<td align="left" valign="middle">Makkah</td>
<td align="char" valign="middle" char="."><bold>0.003</bold></td>
<td align="char" valign="middle" char=".">1.914</td>
<td align="char" valign="middle" char=".">1.254</td>
<td align="char" valign="middle" char=".">2.920</td>
</tr>
<tr>
<td align="left" valign="middle">Riyadh</td>
<td align="char" valign="middle" char="."><bold>0.022</bold></td>
<td align="char" valign="middle" char=".">1.651</td>
<td align="char" valign="middle" char=".">1.074</td>
<td align="char" valign="middle" char=".">2.536</td>
</tr>
<tr>
<td align="left" valign="middle">Eastern region</td>
<td align="char" valign="middle" char="."><bold>0.010</bold></td>
<td align="char" valign="middle" char=".">1.747</td>
<td align="char" valign="middle" char=".">1.140</td>
<td align="char" valign="middle" char=".">2.678</td>
</tr>
<tr>
<td align="left" valign="middle">Baha</td>
<td align="char" valign="middle" char=".">0.741</td>
<td align="char" valign="middle" char=".">1.081</td>
<td align="char" valign="middle" char=".">0.682</td>
<td align="char" valign="middle" char=".">1.712</td>
</tr>
<tr>
<td align="left" valign="middle">Asir</td>
<td align="char" valign="middle" char="."><bold>&#x003C;0.001</bold></td>
<td align="char" valign="middle" char=".">2.099</td>
<td align="char" valign="middle" char=".">1.384</td>
<td align="char" valign="middle" char=".">3.183</td>
</tr>
<tr>
<td align="left" valign="middle">Jazan</td>
<td align="char" valign="middle" char="."><bold>0.001</bold></td>
<td align="char" valign="middle" char=".">2.011</td>
<td align="char" valign="middle" char=".">1.326</td>
<td align="char" valign="middle" char=".">3.049</td>
</tr>
<tr>
<td align="left" valign="middle">Najran</td>
<td align="char" valign="middle" char="."><bold>&#x003C;0.001</bold></td>
<td align="char" valign="middle" char=".">2.601</td>
<td align="char" valign="middle" char=".">1.730</td>
<td align="char" valign="middle" char=".">3.911</td>
</tr>
<tr>
<td align="left" valign="middle">Monthly Income (less than 5&#x2009;K as reference)</td>
<td align="char" valign="middle" char="."><bold>0.018</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">More than 5&#x2009;K SAR/Month</td>
<td align="char" valign="middle" char="."><bold>0.033</bold></td>
<td align="char" valign="middle" char=".">0.808</td>
<td align="char" valign="middle" char=".">0.663</td>
<td align="char" valign="middle" char=".">0.983</td>
</tr>
<tr>
<td align="left" valign="middle">No Stable monthly income</td>
<td align="char" valign="middle" char="."><bold>0.008</bold></td>
<td align="char" valign="middle" char=".">0.745</td>
<td align="char" valign="middle" char=".">0.599</td>
<td align="char" valign="middle" char=".">0.928</td>
</tr>
<tr>
<td align="left" valign="middle">Education (bachelor&#x2019;s degree or above)</td>
<td align="char" valign="middle" char="."><bold>0.002</bold></td>
<td align="char" valign="middle" char=".">0.771</td>
<td align="char" valign="middle" char=".">0.654</td>
<td align="char" valign="middle" char=".">0.908</td>
</tr>
<tr>
<td align="left" valign="middle">Practicing a daily hobby in the last 30&#x2009;days (Yes)</td>
<td align="char" valign="middle" char="."><bold>0.006</bold></td>
<td align="char" valign="middle" char=".">0.749</td>
<td align="char" valign="middle" char=".">0.610</td>
<td align="char" valign="middle" char=".">0.920</td>
</tr>
<tr>
<td align="left" valign="middle">Volunteering in the last 30&#x2009;days (Yes)</td>
<td align="char" valign="middle" char="."><bold>0.008</bold></td>
<td align="char" valign="middle" char=".">0.703</td>
<td align="char" valign="middle" char=".">0.542</td>
<td align="char" valign="middle" char=".">0.914</td>
</tr>
<tr>
<td align="left" valign="middle">Smoking Cigarette (Yes)</td>
<td align="char" valign="middle" char="."><bold>&#x003C;0.001</bold></td>
<td align="char" valign="middle" char=".">1.485</td>
<td align="char" valign="middle" char=".">1.201</td>
<td align="char" valign="middle" char=".">1.835</td>
</tr>
<tr>
<td align="left" valign="middle">Waterpipe Smoking (Yes)</td>
<td align="char" valign="middle" char="."><bold>0.002</bold></td>
<td align="char" valign="middle" char=".">1.429</td>
<td align="char" valign="middle" char=".">1.141</td>
<td align="char" valign="middle" char=".">1.790</td>
</tr>
<tr>
<td align="left" valign="middle">Physical Activity (ALPA)</td>
<td align="char" valign="middle" char="."><bold>0.038</bold></td>
<td align="char" valign="middle" char=".">0.798</td>
<td align="char" valign="middle" char=".">0.645</td>
<td align="char" valign="middle" char=".">0.987</td>
</tr>
<tr>
<td align="left" valign="middle">Marital Status (Married)</td>
<td align="char" valign="middle" char=".">0.245</td>
<td align="char" valign="middle" char=".">0.895</td>
<td align="char" valign="middle" char=".">0.743</td>
<td align="char" valign="middle" char=".">1.079</td>
</tr>
<tr>
<td align="left" valign="middle">Age</td>
<td align="char" valign="middle" char=".">0.348</td>
<td align="char" valign="middle" char=".">1.003</td>
<td align="char" valign="middle" char=".">0.996</td>
<td align="char" valign="middle" char=".">1.010</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Bold indicates significant associations.</p>
</table-wrap-foot>
</table-wrap>
<p>On the other hand, as shown in <xref rid="tab5" ref-type="table">Table 5</xref>, sex, region, monthly income, practicing a daily hobby in the last 30&#x2009;days, volunteering in the last 30&#x2009;days, smoking cigarette, and waterpipe smoking, were significantly associated with MDD risk.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>GAD risk regression model.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2"/>
<th align="center" valign="top" rowspan="2">Value of <italic>p</italic></th>
<th align="center" valign="top" rowspan="2">Exp(B)</th>
<th align="center" valign="top" colspan="2">95% C.I. for EXP(B)</th>
</tr>
<tr>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Sex (Female)</td>
<td align="char" valign="middle" char="."><bold>&#x003C;0.001</bold></td>
<td align="char" valign="middle" char=".">1.439</td>
<td align="char" valign="middle" char=".">1.211</td>
<td align="char" valign="middle" char=".">1.711</td>
</tr>
<tr>
<td align="left" valign="middle">Region (Qassim as reference)</td>
<td align="char" valign="middle" char="."><bold>&#x003C;0.001</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Al Jouf</td>
<td align="char" valign="middle" char="."><bold>0.002</bold></td>
<td align="char" valign="middle" char=".">2.207</td>
<td align="char" valign="middle" char=".">1.332</td>
<td align="char" valign="middle" char=".">3.656</td>
</tr>
<tr>
<td align="left" valign="middle">Northern border</td>
<td align="char" valign="middle" char=".">0.195</td>
<td align="char" valign="middle" char=".">1.423</td>
<td align="char" valign="middle" char=".">0.834</td>
<td align="char" valign="middle" char=".">2.428</td>
</tr>
<tr>
<td align="left" valign="middle">Tabuk</td>
<td align="char" valign="middle" char="."><bold>0.018</bold></td>
<td align="char" valign="middle" char=".">1.868</td>
<td align="char" valign="middle" char=".">1.113</td>
<td align="char" valign="middle" char=".">3.136</td>
</tr>
<tr>
<td align="left" valign="middle">Hail</td>
<td align="char" valign="middle" char="."><bold>0.035</bold></td>
<td align="char" valign="middle" char=".">1.749</td>
<td align="char" valign="middle" char=".">1.040</td>
<td align="char" valign="middle" char=".">2.942</td>
</tr>
<tr>
<td align="left" valign="middle">Madinah</td>
<td align="char" valign="middle" char="."><bold>0.002</bold></td>
<td align="char" valign="middle" char=".">2.212</td>
<td align="char" valign="middle" char=".">1.333</td>
<td align="char" valign="middle" char=".">3.672</td>
</tr>
<tr>
<td align="left" valign="middle">Makkah</td>
<td align="char" valign="middle" char="."><bold>0.000</bold></td>
<td align="char" valign="middle" char=".">2.593</td>
<td align="char" valign="middle" char=".">1.578</td>
<td align="char" valign="middle" char=".">4.260</td>
</tr>
<tr>
<td align="left" valign="middle">Riyadh</td>
<td align="char" valign="middle" char="."><bold>0.006</bold></td>
<td align="char" valign="middle" char=".">2.059</td>
<td align="char" valign="middle" char=".">1.235</td>
<td align="char" valign="middle" char=".">3.434</td>
</tr>
<tr>
<td align="left" valign="middle">Eastern region</td>
<td align="char" valign="middle" char="."><bold>0.000</bold></td>
<td align="char" valign="middle" char=".">4.734</td>
<td align="char" valign="middle" char=".">2.954</td>
<td align="char" valign="middle" char=".">7.588</td>
</tr>
<tr>
<td align="left" valign="middle">Baha</td>
<td align="char" valign="middle" char="."><bold>0.049</bold></td>
<td align="char" valign="middle" char=".">1.693</td>
<td align="char" valign="middle" char=".">1.003</td>
<td align="char" valign="middle" char=".">2.859</td>
</tr>
<tr>
<td align="left" valign="middle">Asir</td>
<td align="char" valign="middle" char="."><bold>0.000</bold></td>
<td align="char" valign="middle" char=".">2.854</td>
<td align="char" valign="middle" char=".">1.745</td>
<td align="char" valign="middle" char=".">4.666</td>
</tr>
<tr>
<td align="left" valign="middle">Jazan</td>
<td align="char" valign="middle" char="."><bold>0.000</bold></td>
<td align="char" valign="middle" char=".">3.405</td>
<td align="char" valign="middle" char=".">2.102</td>
<td align="char" valign="middle" char=".">5.516</td>
</tr>
<tr>
<td align="left" valign="middle">Najran</td>
<td align="char" valign="middle" char="."><bold>0.000</bold></td>
<td align="char" valign="middle" char=".">5.524</td>
<td align="char" valign="middle" char=".">3.463</td>
<td align="char" valign="middle" char=".">8.813</td>
</tr>
<tr>
<td align="left" valign="middle">Monthly Income (less than 5&#x2009;K as reference)</td>
<td align="char" valign="middle" char="."><bold>0.022</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">More than 5&#x2009;K SAR/Month</td>
<td align="char" valign="middle" char="."><bold>0.006</bold></td>
<td align="char" valign="middle" char=".">0.751</td>
<td align="char" valign="middle" char=".">0.613</td>
<td align="char" valign="middle" char=".">0.920</td>
</tr>
<tr>
<td align="left" valign="middle">No Stable monthly income</td>
<td align="char" valign="middle" char=".">0.201</td>
<td align="char" valign="middle" char=".">0.866</td>
<td align="char" valign="middle" char=".">0.695</td>
<td align="char" valign="middle" char=".">1.080</td>
</tr>
<tr>
<td align="left" valign="middle">Education (bachelor&#x2019;s degree or above)</td>
<td align="char" valign="middle" char=".">0.287</td>
<td align="char" valign="middle" char=".">0.914</td>
<td align="char" valign="middle" char=".">0.774</td>
<td align="char" valign="middle" char=".">1.079</td>
</tr>
<tr>
<td align="left" valign="middle">Practicing a daily hobby in the last 30&#x2009;days (Yes)</td>
<td align="char" valign="middle" char="."><bold>0.009</bold></td>
<td align="char" valign="middle" char=".">0.758</td>
<td align="char" valign="middle" char=".">0.616</td>
<td align="char" valign="middle" char=".">0.933</td>
</tr>
<tr>
<td align="left" valign="middle">Volunteering in the last 30&#x2009;days (Yes)</td>
<td align="char" valign="middle" char="."><bold>0.001</bold></td>
<td align="char" valign="middle" char=".">0.619</td>
<td align="char" valign="middle" char=".">0.469</td>
<td align="char" valign="middle" char=".">0.818</td>
</tr>
<tr>
<td align="left" valign="middle">Smoking Cigarette (Yes)</td>
<td align="char" valign="middle" char="."><bold>0.001</bold></td>
<td align="char" valign="middle" char=".">1.440</td>
<td align="char" valign="middle" char=".">1.157</td>
<td align="char" valign="middle" char=".">1.791</td>
</tr>
<tr>
<td align="left" valign="middle">Waterpipe Smoking (Yes)</td>
<td align="char" valign="middle" char="."><bold>0.004</bold></td>
<td align="char" valign="middle" char=".">1.405</td>
<td align="char" valign="middle" char=".">1.115</td>
<td align="char" valign="middle" char=".">1.772</td>
</tr>
<tr>
<td align="left" valign="middle">Physical Activity (ALPA)</td>
<td align="char" valign="middle" char=".">0.417</td>
<td align="char" valign="middle" char=".">0.917</td>
<td align="char" valign="middle" char=".">0.743</td>
<td align="char" valign="middle" char=".">1.131</td>
</tr>
<tr>
<td align="left" valign="middle">Marital Status (Married)</td>
<td align="char" valign="middle" char=".">0.369</td>
<td align="char" valign="middle" char=".">1.092</td>
<td align="char" valign="middle" char=".">0.902</td>
<td align="char" valign="middle" char=".">1.322</td>
</tr>
<tr>
<td align="left" valign="middle">Age</td>
<td align="char" valign="middle" char=".">0.226</td>
<td align="char" valign="middle" char=".">1.004</td>
<td align="char" valign="middle" char=".">0.997</td>
<td align="char" valign="middle" char=".">1.012</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Bold indicates significant associations.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="sec13" sec-type="discussions">
<label>4.</label>
<title>Discussion</title>
<p>In this cross-sectional study, we achieved a response rate of 65.04% among the 6,015 participants, which is considered satisfactory for a phone interview survey (<xref ref-type="bibr" rid="ref31">31</xref>). The quota sampling strategy employed in this study ensured an equal representation of both sexes, with 50% of the participants being female. The mean age of participants was 36.45, similar to the general population in Saudi Arabia (<xref ref-type="bibr" rid="ref32">32</xref>).</p>
<p>The sample prevalence of people at risk of MDD and GAD were found to be 12.7 and 12.4% respectively, which is consistent with previous studies conducted in Saudi Arabia and overall lower than many other countries (<xref ref-type="bibr" rid="ref12">12</xref>). Although this study results were similar to the results of the 2020 MHSS which were conducted during the COVID-19 epidemic, with the lack of more historical data we could not determine why the results are similar, thus, with the continuity of this national screening program over the coming years more understanding of mental health indicators could be generated. It is important to note that only a small proportion of participants were currently diagnosed and on treatment for depression (1.5%) and anxiety (0.5%), which highlights the potential underdiagnosis and undertreatment of mental health disorders in this population. This assumption is supported by the global prevalence of depression in 5% of adults, with 4% in men and 6% in women (<xref ref-type="bibr" rid="ref33">33</xref>). Furthermore, a national screening study conducted in 2010 revealed that the 12-month prevalence of any DSM-IV/CIDI disorder is 20.2%, with anxiety disorders are the most common type of disorder, with a lifetime prevalence of 12.3%, followed by mood disorders at 6.8% (<xref ref-type="bibr" rid="ref34">34</xref>).</p>
<p>Our findings show that sex, region, education, monthly income, smoking cigarette, waterpipe smoking, physical activity, volunteering in the last 30&#x2009;days, and practicing a daily hobby in the last 30&#x2009;days were significantly associated with the risk of MDD and GAD. These results are in line with previous research that identified similar factors as predictors of mental health disorders (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref36">36</xref>).</p>
<p>In our study, females showed a higher risk for both MDD and GAD, which is consistent with previous literature (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref37">37</xref>). Due to the limited number of prior studies examining regional differences in mental health prevalence, pinpointing a logical explanation proves challenging. However, potential reasons for these disparities may include variations in access to mental health services, cultural factors, socioeconomic differences, or it could be that regional classification is simply a random grouping variable with no real association to mental health (<xref ref-type="bibr" rid="ref38">38</xref>). Moreover, there is limited information in the literature available on the association between region or city and mental health indicators such as depression or anxiety prevalence. However, existing studies do suggest that regional differences may exist in mental health prevalence (<xref ref-type="bibr" rid="ref38">38</xref>). The social gradient, which is the relationship between social and economic factors and health outcomes, impacts both the risk of disorder and access to services, ultimately influencing mental health outcomes (<xref ref-type="bibr" rid="ref38">38</xref>).</p>
<p>The association between lower education and income levels with increased risk of MDD and GAD has been well-documented (<xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref40">40</xref>).</p>
<p>Smoking, waterpipe use, and physical inactivity were also significantly associated with increased risk of MDD and GAD, which is consistent with the literature (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>). Interestingly, our study discovered a potential link between engaging in volunteer work or pursuing a daily hobby within the past 30&#x2009;days and a reduced likelihood of being at risk for Major Depressive Disorder (MDD) and Generalized Anxiety Disorder (GAD). Although this cross-sectional study cannot establish causality, the results may suggest that involvement in such activities could provide behavioral activation and protective effects on mental health. Alternatively, individuals with MDD or GAD might be less able to participate in volunteer work, daily hobbies, or physical activities due to the impact of their mental condition (<xref ref-type="bibr" rid="ref43 ref44 ref45 ref46">43&#x2013;46</xref>).</p>
<p>Our findings contribute to the growing body of evidence on mental health risks in Saudi Arabia and the Middle East. The high prevalence of MDD and GAD risk, coupled with low diagnosis and treatment rates, calls for increased efforts in mental health promotion, early detection, and treatment accessibility. Additionally, our study highlights the importance of addressing modifiable risk factors such as smoking, physical inactivity, and socioeconomic disparities through targeted interventions. Nonetheless, it is worth noting that in 2019, Saudi Arabia established the NCMH to spearhead mental health promotion and prevention initiatives. In 2021, over 3,500 pages of mental health awareness content were published by NCMH, targeting prevention programs in schools, universities, and workplaces. Collaboration with educational institutions led to conferences, lectures, and teacher training sessions (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). University programs included mental health promotion groups, student support centers, and over 650 awareness activities (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). Workplace initiatives involved mental health first aid training, awareness sessions, and mental health ambassadors (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). Four digital mental health platforms, including NCMH&#x2019;s Qareboon app, provided thousands of free consultations (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). NCMH also conducted workshops for mental health professionals, focusing on policies, regulations, disaster response, and specialized skills (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>).</p>
<p>Future research should explore longitudinal associations between these factors and mental health outcomes, as well as potential mediators and moderators of these relationships. In addition, there is a need for more comprehensive assessments of mental health disorders and their determinants in the region, which will inform the development and implementation of culturally appropriate and evidence-based interventions.</p>
<p>Limitations of the study include the cross-sectional design, which prevents the establishment of causal relationships between variables. Additionally, the use of self-report measures may introduce response bias. Although our study utilized quota sampling, which can be associated with selection bias risks, it was chosen over random probability sampling due to its previously proven consistency and sensitivity to mental health screening in Saudi Arabia and lower costs (<xref ref-type="bibr" rid="ref15">15</xref>). Furthermore, employing a proportionally large sample and 52 quotas helps mitigate selection bias (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref50">50</xref>). Currently, in Saudi Arabia, generating a random national-level sample is only feasible through household surveys, which also have limitations caused by cultural factors. Additionally, the utilization of the ZDataCloud research data collection and governance system improved the quota sampling process by eliminating human selection bias. This enhancement as shown in the results led to a well-balanced sample across the 52 quotas, ensuring a more accurate representation of the targeted population. Nonetheless, the study provides valuable insights into the mental health risks and associated variables in the Saudi Arabian population, contributing to the development of effective mental health interventions and policies.</p>
</sec>
<sec id="sec14" sec-type="conclusions">
<label>5.</label>
<title>Conclusion</title>
<p>In conclusion, this cross-sectional study reveals a significant prevalence of individuals at risk for MDD and GAD in Saudi Arabia, and potential underdiagnosis and undertreatment of these mental health disorders. Our findings confirm the association of various factors such as sex, region, education, income, smoking, physical activity, and engagement in hobbies or volunteering with the risk of MDD and GAD. These results underline the need for targeted interventions addressing modifiable risk factors and promoting mental health awareness and treatment accessibility in Saudi Arabia. Future research should investigate longitudinal associations and comprehensive assessments of mental health disorders to inform culturally appropriate, evidence-based interventions. Despite the study&#x2019;s limitations, it offers valuable insights for developing effective mental health policies and strategies in Saudi Arabia and the Middle East.</p>
</sec>
<sec id="sec15" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="sec16">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by Sharik Association for Health Research&#x2019;s ethics committee (Approval no. 04&#x2013;2022). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="sec17">
<title>Author contributions</title>
<p>NA and NB participated in the conceptual design and formulation of the research questions. All authors participated in the development and review of the manuscript.</p>
</sec>
<sec id="sec18" sec-type="funding-information">
<title>Funding</title>
<p>This study was funded by the National Center for Mental Health Promotion.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
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