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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2021.730147</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Impact of Work Stress on Job Satisfaction and Sleep Quality for Couriers in China: The Role of Psychological Capital</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Xie</surname> <given-names>Yujin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1567040/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Tian</surname> <given-names>Jing</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1411331/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Jiao</surname> <given-names>Yang</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Yu</surname> <given-names>Hong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Shi</surname> <given-names>Lei</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1321499/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Labor Model Health Management Center, Beijing Rehabilitation Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Health Management, School of Health Management, Harbin Medical University</institution>, <addr-line>Harbin</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Hospital Office, Beijing Rehabilitation Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>School of Health Management, Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Song Wang, Sichuan University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Cristina Garc&#x00ED;a-Ael, National University of Distance Education (UNED), Spain; Wenchao Wang, Beijing Normal University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Lei Shi, <email>hydleishi@126.com</email></corresp>
<corresp id="c002">Hong Yu, <email>bjlmtj@163.com</email></corresp>
<fn fn-type="equal" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Health Psychology, a section of the journal Frontiers in Psychology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>730147</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Xie, Tian, Jiao, Liu, Yu and Shi.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Xie, Tian, Jiao, Liu, Yu and Shi</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>
<p><bold>Objective:</bold> Work stress is one of the urgent public health problems, which has aroused wide attention. In addition, work stress also has a negative impact on the development of enterprises. This study has three purposes: (1) to understand the current status of working stress among couriers, (2) to examine the association between work stress, job satisfaction and sleep quality of Chinese couriers, and (3) to verify the mediating role of psychological capital.</p>
<p><bold>Methods:</bold> A cross-sectional survey was conducted among 3000 couriers in Beijing of China from January to December 2019 using cluster stratified random sampling. Descriptive statistical analysis was used to describe demographic characteristics of respondents. Pearson correlation analysis was used to analyze the correlation among work stress, job satisfaction, sleep quality, and psychological capital. The mediating analysis was calculated role of psychological capital.</p>
<p><bold>Results:</bold> A total of 2831 participants were included in this study. The average score of work stress was 2.49 &#x00B1; 0.76. Work stress was negatively correlated with job satisfaction (<italic>r</italic> = &#x2212;0.266, <italic>P</italic> &#x003C; 0.01), sleep quality (<italic>r</italic> = &#x2013;0.142, <italic>P</italic> &#x003C; 0.01), and psychological capital (<italic>r</italic> = &#x2212;0.268, <italic>P</italic> &#x003C; 0.01), respectively. The direct effect of work stress on job satisfaction is &#x2013;0.223, and the total effect of work stress on job satisfaction is &#x2013;0.267. The a&#x002A;b&#x002A;c&#x2019; is positive, indicating the mediating role psychological capital has in explaining the relationship between couriers&#x2019; work stress and job satisfaction. Moreover, psychological capital plays a mediating role between work stress and sleep quality among couriers.</p>
<p><bold>Conclusion:</bold> Couriers face certain work stress and should be paid attention to and psychological capital can effectively alleviate the work stress of couriers, so measures can be taken to improve it, promoting healthy development of employees and organizations.</p>
</abstract>
<kwd-group>
<kwd>work stress</kwd>
<kwd>job satisfaction</kwd>
<kwd>sleep quality</kwd>
<kwd>psychological capital</kwd>
<kwd>couriers</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="8"/>
<word-count count="5444"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<sec id="S1.SS1">
<title>Work Stress</title>
<p>Work stress is an serious public health problem attracting widespread attention (<xref ref-type="bibr" rid="B29">Margolis et al., 1974</xref>). Work stress concerns individuals&#x2019; physical reaction caused by an overload of work responsibilities. It occurs when an employee does not have the capability to cope with the current work environment and compromises their physical and mental wellbeing (<xref ref-type="bibr" rid="B35">Se&#x0148;ov&#x00E1; and Antosova, 2014</xref>). Furthermore, work stress has a detrimental effect on the health of staff with cardiovascular diseases, depression, and cancer (<xref ref-type="bibr" rid="B21">Kivimaki et al., 2006</xref>; <xref ref-type="bibr" rid="B31">Melchior et al., 2007</xref>; <xref ref-type="bibr" rid="B43">Yang et al., 2019</xref>). Work stress negatively impacts organizations, which will ultimately incur losses because of worker dissatisfaction, negativity, high turnover rates, and absenteeism (<xref ref-type="bibr" rid="B41">Webster et al., 2010</xref>). Previous studies have focused on the relationship between work stress and burn-out in nursing staff, bank staff, and dentists (<xref ref-type="bibr" rid="B7">Choy and Wong, 2017</xref>; <xref ref-type="bibr" rid="B11">Ezenwaji et al., 2019</xref>; <xref ref-type="bibr" rid="B15">Giorgi et al., 2019</xref>). Other studies have found that work stress impacts employees&#x2019; job satisfaction and sleep quality (<xref ref-type="bibr" rid="B25">Lu et al., 2007</xref>; <xref ref-type="bibr" rid="B42">Yang et al., 2018</xref>).</p>
</sec>
<sec id="S1.SS2">
<title>Psychological Capital</title>
<p><xref ref-type="bibr" rid="B27">Luthans et al. (2004)</xref> first proposed the concept of psychological capital in 2004. It is an individual&#x2019;s positive state of psychological development, shown through four principles: self-efficacy, hope, optimism, and resilience. A study found that the psychological capital of employees was positively correlated with job satisfaction (<xref ref-type="bibr" rid="B45">Zhang et al., 2021</xref>). A study in China found that work stress and psychological capital affected sleep quality among medical staff in a hospital in Urumqi (<xref ref-type="bibr" rid="B44">Ye et al., 2019</xref>). Furthermore, psychological capital is often used in research involving workers from various professions (<xref ref-type="bibr" rid="B6">Chen and Lim, 2012</xref>; <xref ref-type="bibr" rid="B23">Kwok et al., 2015</xref>), suggesting that couriers are similarly suitable as a topic of study.</p>
</sec>
<sec id="S1.SS3">
<title>Job Satisfaction</title>
<p><xref ref-type="bibr" rid="B18">Hoppock (1937)</xref> first proposed the concept of job satisfaction and defined it as an &#x201C;employees&#x2019; psychological and physiological satisfaction with the working environment.&#x201D; He also added that job satisfaction is the subjective reaction of employees to their working environment (<xref ref-type="bibr" rid="B18">Hoppock, 1937</xref>). Locke, Spector, and others further defined job satisfaction from different perspectives (<xref ref-type="bibr" rid="B24">Locke, 1969</xref>; <xref ref-type="bibr" rid="B36">Spector, 1997</xref>; <xref ref-type="bibr" rid="B14">Gigantesco et al., 2003</xref>). Studies on job satisfaction have focused on its influencing factors. By summarizing the relevant results, we conclude that job satisfaction is determined by two factors: work environment characteristics, such as work attributes, organizational environment, job type, job security, social status, and promotion prospects, and worker characteristics, such as level of education, gender, age, and personality (<xref ref-type="bibr" rid="B34">Seashore and Taber, 1975</xref>). Job satisfaction affects the work performance of the individual members as well as the entire organization. Job characteristics are closely related to job satisfaction and affect employees&#x2019; personal life. Stress is a crucial factor that workers in a myriad of occupations experience, and it directly affects job satisfaction (<xref ref-type="bibr" rid="B13">Friganovi&#x0107; et al., 2019</xref>). This study focuses on the impact of work stress on couriers&#x2019; job satisfaction.</p>
</sec>
<sec id="S1.SS4">
<title>Sleep Quality</title>
<p>Sleep quality is defined in three ways based on sleep indicators. The first&#x2013;a relatively representative view&#x2013;uses tools to measure the recorded sleep indicators (<xref ref-type="bibr" rid="B4">Buysse et al., 2006</xref>). The second indicator is the sleep quality index, which uses various measuring instruments to assess physiological indicators (<xref ref-type="bibr" rid="B33">Rechtschaffen and Kales, 1968</xref>). Third, the quality of sleep is indicated through self-assessment by the sleepers; this indicator is unrelated to the length, frequency, or duration of sleep (<xref ref-type="bibr" rid="B22">Krystal and Edinger, 2008</xref>). Buysse et al. assessed sleep quality using the following seven factors: subjective sleep quality, time taken to fall asleep, sleep efficiency, sleep duration, soporific drugs, sleep disorders, and daytime dysfunction. They used the Pittsburgh Sleep Quality (PSQI) index as an indicator to evaluate sleep quality (<xref ref-type="bibr" rid="B5">Buysse et al., 1989</xref>). Scholars have recently focused on the physical and psychological effects of sleep quality. Studies have found that lack of sleep leads to poor physical health and exacerbates symptoms of diabetes, coronary heart disease, arrhythmia, anxiety, depression, and negative emotion, thereby affecting one&#x2019;s mental health (<xref ref-type="bibr" rid="B46">Zhang and Gu, 2001</xref>). This study focuses on factors in the work environment influencing the sleep quality of couriers.</p>
</sec>
<sec id="S1.SS5">
<title>Chinese Couriers</title>
<p>A courier is an employee&#x2013;responsible for collection, sorting, and delivery&#x2013;that has direct contact with recipients and senders (<xref ref-type="bibr" rid="B48">Zhao and Liu, 2017</xref>). According to the 2019 Statistical Bulletin on the Development of China&#x2019;s Postal Industry, the express delivery business in China is burgeoning, increasing job opportunities at express delivery enterprises, resulting in a growing need for delivery personnel. Statistically, the number of couriers in China increases by 150,000-200,000 every year (<xref ref-type="bibr" rid="B12">Fang et al., 2017</xref>). However, the rapid development of the express delivery industry has precipitated changes in the workforce. Poor courier work ethic, increased resignations, and high staff turnover suggest that, through the period of rapid growth, there should be a focus on enterprise development and increased attention should be paid to courier job satisfaction (<xref ref-type="bibr" rid="B43">Yang et al., 2019</xref>). Chinese couriers are generally young and poorly educated. They work long hours on consecutive days in a challenging environment with little to no downtime. The express delivery industry requires little technical knowledge and long working hours while providing no personal growth opportunities. Consequently, it becomes difficult to attract high-performance personnel, resulting in couriers&#x2019; relatively low social standing (<xref ref-type="bibr" rid="B43">Yang et al., 2019</xref>). Studies have shown work-related stress to be one of the main problems for couriers, with customer complaints being the primary cause of tension (<xref ref-type="bibr" rid="B3">Bian, 2016</xref>).</p>
<p>Examining couriers&#x2019; work-related stress is beneficial to their occupational health and is socially significant. We used the causal stepwise regression method on the classical mediation test (<xref ref-type="bibr" rid="B2">Baron and Kenny, 1986</xref>). The bootstrap test was used to re-examine the role of psychological capital on work stress, job satisfaction, and sleep quality of couriers (<xref ref-type="bibr" rid="B16">Hayes, 2013</xref>). To better understand the role of psychological capital on work stress, job satisfaction, and sleep quality among the couriers, we proposed the following hypotheses:</p>
<list list-type="simple">
<list-item>
<label>Hypothesis 1:</label>
<p>Psychological capital plays a mediating role between work stress and job satisfaction among couriers.</p>
</list-item>
<list-item>
<label>Hypothesis 2:</label>
<p>Psychological capital plays a mediating role between work stress and sleep quality among couriers.</p>
</list-item>
</list>
</sec>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Study Design and Population</title>
<p>This study was conducted jointly by the Beijing federation of trade unions, the Beijing express association, and Beijing Rehabilitation Hospital, Capital Medical University. A cross-sectional survey utilizing an anonymous questionnaire was used to obtain data. Researchers conducted a one-on-one questionnaire survey with each participant with their consent. Cluster random sampling was used to select 10 express delivery companies each in five districts in Beijing. A total of 3,000 couriers from 50 express and logistics companies in Beijing were selected from January 1 to December 31, 2019. A total of 2,831 valid questionnaires were collected, with an effective recovery rate of 94.37%.</p>
<p>The inclusion criteria of participants were: (1) having more than one year&#x2019;s experience in the express delivery industry, and (2) voluntary and truthful cooperation with the professionals conducting the survey.</p>
</sec>
<sec id="S2.SS2">
<title>Measurements</title>
<p>The questionnaire involves two main sections: demographic information, such as gender, age, marital status, income, and level of education, and occupational information, including work stress, job satisfaction, sleep quality, and psychological capital.</p>
<sec id="S2.SS2.SSS1">
<title>Work Stress Scale</title>
<p>Work stress scale was used to measure couriers&#x2019; work stress. It was compiled by <xref ref-type="bibr" rid="B10">Dong (2018)</xref>, who based it on three studies (<xref ref-type="bibr" rid="B8">Cooper and Marshall, 1976</xref>; <xref ref-type="bibr" rid="B19">Ivancevich and Matteson, 1981</xref>; <xref ref-type="bibr" rid="B47">Zhang, 2012</xref>). The scale is divided into six parts with 24 items: task pressure (five items), job role stress (three items), career development pressure (four items), interpersonal relationship stress (three items), organizational structure and orientation stress (five items), and family-work interaction stress (four items). The scale was scored using a five-point Likert scale, where Strongly disagree, Disagree, Neither agree nor disagree, Agree, and Strongly agree represent 1, 2, 3, 4, and 5, respectively. The higher the score on the scale, the greater the levels of work stress. In this study, the scale&#x2019;s Cronbach&#x2019;s alpha was 0.956. The Cronbach&#x2019;s coefficient of the scale&#x2019;s six parts were 0.786, 0.891, 0.915, 0.790, 0.904, and 0.9020, respectively.</p>
</sec>
<sec id="S2.SS2.SSS2">
<title>Job Satisfaction</title>
<p>Job satisfaction was assessed using the single measurement item proposed by <xref ref-type="bibr" rid="B40">Wanous et al. (1997)</xref>, namely &#x201C;overall, how satisfied are you with your current job.&#x201D; The measurement also uses the Likert scale from 1, &#x201C;very dissatisfied&#x201D; to 5, &#x201C;very satisfied.&#x201D; Higher scores indicate higher job satisfaction. This item had adequate reliability and validity in previous research (<xref ref-type="bibr" rid="B9">Dolbier et al., 2005</xref>).</p>
</sec>
<sec id="S2.SS2.SSS3">
<title>Sleep Quality</title>
<p>Sleep measurements were assessed using the outcome question of &#x201C;Over the past month, how do you feel your subjective sleep quality has been?&#x201D; (<xref ref-type="bibr" rid="B30">Matsumoto et al., 2021</xref>). The questionnaire used a rating scale from 1, &#x201C;very poor&#x201D; to 5, &#x201C;very good.&#x201D; The higher the value, the better the courier&#x2019;s sleep. The study confirmed that the measurement method has high validity and sensitivity, effectively measuring the courier&#x2019;s overall perception of sleep quality.</p>
</sec>
<sec id="S2.SS2.SSS4">
<title>Psychological Capital Questionnaires</title>
<p>Psychological capital level was measured using the Psychological Capital Questionnaire (PCQ-24) in this study. It was compiled by <xref ref-type="bibr" rid="B26">Luthans et al. (2008)</xref> and translated into Chinese by Chaoping Li in 2008 (<xref ref-type="bibr" rid="B28">Luthans et al., 2007</xref>). It has 24 items and four subscales. A score of 1 indicates extreme disagreement, and a score of 6 indicates extreme agreement. The higher the score, the better the level of psychological capital. The Cronbach&#x2019;s coefficient of the scale was 0.933 in this study.</p>
</sec>
</sec>
<sec id="S2.SS3">
<title>Statistical Analysis</title>
<p>In this study, double-entry verification through Epidata 3.1 was used on the questionnaires, and SPSS V25.0 was used for data analysis. Descriptive statistical analysis was used to describe sample information. The Kolmogorov-Smirnov test was used to evaluate the normality of related variables. Control variables were obtained using an independent sample <italic>t</italic>-test and one-way ANOVA to compare the differences between job stress, job satisfaction, psychological capital, and sleep quality scores among participants with different demographic characteristics. Pearson correlation analysis was used to analyze the correlation between work stress, job satisfaction, sleep quality, and psychological capital. The regression and mediating factors were developed using SPSS PROCESS and the macro calculation by Preacher and <xref ref-type="bibr" rid="B16">Hayes (2013)</xref>. Work stress was the independent variable (X), and psychological capital (M), job satisfaction, and sleep quality were dependent variables (Y). The possibility of multiple collinearities among variables was also considered in this study. <italic>P</italic> &#x003C; 0.05 was considered statistically significant (two-tailed).</p>
</sec>
<sec id="S2.SS4">
<title>Ethical Approval</title>
<p>This study was approved by the Ethics Committee of Beijing Rehabilitation Hospital, Capital Medical University. We obtained the verbal consent of each participants involved in the research process.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Common Method Biases</title>
<p>Harman&#x2019;s single factor test was used to identify common method bias. Following the main component analysis, 20 eigenvalues larger than one were recovered. The first factor described the common difference between all elements of the research variables generated by common methods and relationships between research variables. The first factor that explained the variation was 27.89%, which was much lower than the required criterion of 40%. Accordingly, we concluded that there were no serious common method biases in this study.</p>
</sec>
<sec id="S3.SS2">
<title>Demographics and Characteristics</title>
<p>The demographic characteristics of the participants are shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Demographic characteristics of the participants (<italic>N</italic> = 2831).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variables</td>
<td valign="top" align="center"><italic>N</italic></td>
<td valign="top" align="center">Percentage(%)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Gender</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">2103</td>
<td valign="top" align="center">74.3</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">728</td>
<td valign="top" align="center">25.7</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Age group (years)</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2264;30</td>
<td valign="top" align="center">1052</td>
<td valign="top" align="center">37.2</td>
</tr>
<tr>
<td valign="top" align="left">31&#x2013;40</td>
<td valign="top" align="center">1150</td>
<td valign="top" align="center">40.6</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;40</td>
<td valign="top" align="center">629</td>
<td valign="top" align="center">22.2</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Marital status</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">2061</td>
<td valign="top" align="center">72.8</td>
</tr>
<tr>
<td valign="top" align="left">Single/divorced/widowed</td>
<td valign="top" align="center">770</td>
<td valign="top" align="center">27.2</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Education level</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Junior high school or below</td>
<td valign="top" align="center">742</td>
<td valign="top" align="center">26.2</td>
</tr>
<tr>
<td valign="top" align="left">High school/technical secondary school</td>
<td valign="top" align="center">1089</td>
<td valign="top" align="center">38.5</td>
</tr>
<tr>
<td valign="top" align="left">Junior college or above</td>
<td valign="top" align="center">1000</td>
<td valign="top" align="center">35.3</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Monthly income (RMB)</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2264;5000</td>
<td valign="top" align="center">1307</td>
<td valign="top" align="center">46.2</td>
</tr>
<tr>
<td valign="top" align="left">5001&#x2013;8000</td>
<td valign="top" align="center">1293</td>
<td valign="top" align="center">45.7</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;8001</td>
<td valign="top" align="center">231</td>
<td valign="top" align="center">8.1</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Years of experience</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2264;4</td>
<td valign="top" align="center">1425</td>
<td valign="top" align="center">50.3</td>
</tr>
<tr>
<td valign="top" align="left">5&#x2013;10</td>
<td valign="top" align="center">1121</td>
<td valign="top" align="center">39.6</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;11</td>
<td valign="top" align="center">285</td>
<td valign="top" align="center">10.1</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Daily working hours</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2264;8</td>
<td valign="top" align="center">662</td>
<td valign="top" align="center">23.4</td>
</tr>
<tr>
<td valign="top" align="left">8&#x2013;12</td>
<td valign="top" align="center">1895</td>
<td valign="top" align="center">66.9</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;12</td>
<td valign="top" align="center">274</td>
<td valign="top" align="center">9.7</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>Correlations Between Study Variables</title>
<p><xref ref-type="table" rid="T2">Table 2</xref> shows the scores of work stress, job satisfaction, sleep quality, and psychological capital. Work stress negatively correlated with job satisfaction (<italic>r</italic> = &#x2013;0.266, <italic>P</italic> &#x003C; 0.01), sleep quality (<italic>r</italic> = &#x2013;0.142, <italic>P</italic> &#x003C; 0.01), and psychological capital (<italic>r</italic> = &#x2013;0.268, <italic>P</italic> &#x003C; 0.01).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Pearson correlation analysis among different variables.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variables</td>
<td valign="top" align="center">M &#x00B1; SD</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Work stress</td>
<td valign="top" align="center">2.49 &#x00B1; 0.76</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Job satisfaction</td>
<td valign="top" align="center">3.76 &#x00B1; 0.78</td>
<td valign="top" align="center">&#x2013;0.266<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sleep quality</td>
<td valign="top" align="center">3.25 &#x00B1; 0.82</td>
<td valign="top" align="center">&#x2013;0.141<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.194<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Psychological capital</td>
<td valign="top" align="center">4.22 &#x00B1; 0.66</td>
<td valign="top" align="center">&#x2013;0.268<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.234<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.148<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t2fns1"><p><italic>&#x002A;&#x002A;P &#x003C; 0.01.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4">
<title>Differences of Multivariate Scores Among Participants With Different Demographic Characteristics</title>
<p>There was a significant difference in the job satisfaction scores depending on the couriers&#x2019; demographics. The differences among participants with different demographic characteristics in work stress, job satisfaction, sleep quality, and psychological capital are shown in <xref ref-type="table" rid="T3">Table 3</xref>.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Differences of multivariate scores among participants with different demographic characteristics.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Characteristics</td>
<td valign="top" align="center">Work stress</td>
<td valign="top" align="center">Job satisfaction</td>
<td valign="top" align="center">Sleep quality</td>
<td valign="top" align="center">Psychological capital</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">M &#x00B1; SD</td>
<td valign="top" align="center">M &#x00B1; SD</td>
<td valign="top" align="center">M &#x00B1; SD</td>
<td valign="top" align="center">M &#x00B1; SD</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Gender</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">2.53 &#x00B1; 0.77</td>
<td valign="top" align="center">3.78 &#x00B1; 0.78</td>
<td valign="top" align="center">3.26 &#x00B1; 0.82</td>
<td valign="top" align="center">4.24 &#x00B1; 0.67</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">2.40 &#x00B1; 0.70</td>
<td valign="top" align="center">3.70 &#x00B1; 0.78</td>
<td valign="top" align="center">3.23 &#x00B1; 0.82</td>
<td valign="top" align="center">4.17 &#x00B1; 0.64</td>
</tr>
<tr>
<td valign="top" align="left"><italic>t</italic></td>
<td valign="top" align="center">3.944<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">2.353<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">0.915</td>
<td valign="top" align="center">2.550<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Age group (years)</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2264;30</td>
<td valign="top" align="center">2.42 &#x00B1; 0.69</td>
<td valign="top" align="center">3.73 &#x00B1; 0.77</td>
<td valign="top" align="center">3.25 &#x00B1; 0.81</td>
<td valign="top" align="center">4.17 &#x00B1; 0.67</td>
</tr>
<tr>
<td valign="top" align="left">31&#x2013;40</td>
<td valign="top" align="center">2.52 &#x00B1; 0.75</td>
<td valign="top" align="center">3.76 &#x00B1; 0.78</td>
<td valign="top" align="center">3.21 &#x00B1; 0.84</td>
<td valign="top" align="center">4.26 &#x00B1; 0.65</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;40</td>
<td valign="top" align="center">2.58 &#x00B1; 0.85</td>
<td valign="top" align="center">3.81 &#x00B1; 0.79</td>
<td valign="top" align="center">3.33 &#x00B1; 0.80</td>
<td valign="top" align="center">4.23 &#x00B1; 0.68</td>
</tr>
<tr>
<td valign="top" align="left"><italic>F</italic></td>
<td valign="top" align="center">9.454<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">2.103</td>
<td valign="top" align="center">4.390<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">4.454<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Marital status</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">2.51 &#x00B1; 0.77</td>
<td valign="top" align="center">3.77 &#x00B1; 0.76</td>
<td valign="top" align="center">3.28 &#x00B1; 0.81</td>
<td valign="top" align="center">4.25 &#x00B1; 0.66</td>
</tr>
<tr>
<td valign="top" align="left">Single/divorced/widowed</td>
<td valign="top" align="center">2.45 &#x00B1; 0.70</td>
<td valign="top" align="center">3.72 &#x00B1; 0.81</td>
<td valign="top" align="center">3.19 &#x00B1; 0.83</td>
<td valign="top" align="center">4.14 &#x00B1; 0.67</td>
</tr>
<tr>
<td valign="top" align="left"><italic>t</italic></td>
<td valign="top" align="center">1.986<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">1.742</td>
<td valign="top" align="center">2.539<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">3.944<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Education level</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Junior high school or below</td>
<td valign="top" align="center">2.56 &#x00B1; 0.84</td>
<td valign="top" align="center">3.84 &#x00B1; 0.82</td>
<td valign="top" align="center">3.32 &#x00B1; 0.79</td>
<td valign="top" align="center">4.25 &#x00B1; 0.65</td>
</tr>
<tr>
<td valign="top" align="left">High school/Technical secondary school</td>
<td valign="top" align="center">2.46 &#x00B1; 0.73</td>
<td valign="top" align="center">3.75 &#x00B1; 0.75</td>
<td valign="top" align="center">3.23 &#x00B1; 0.82</td>
<td valign="top" align="center">4.22 &#x00B1; 0.68</td>
</tr>
<tr>
<td valign="top" align="left">Junior college or above</td>
<td valign="top" align="center">2.50 &#x00B1; 0.65</td>
<td valign="top" align="center">3.62 &#x00B1; 0.79</td>
<td valign="top" align="center">3.27 &#x00B1; 0.89</td>
<td valign="top" align="center">4.20 &#x00B1; 0.66</td>
</tr>
<tr>
<td valign="top" align="left"><italic>F</italic></td>
<td valign="top" align="center">3.953<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">6.700<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">2.566</td>
<td valign="top" align="center">1.402</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Monthly income (RMB)</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2264;5000</td>
<td valign="top" align="center">2.49 &#x00B1; 0.76</td>
<td valign="top" align="center">3.66 &#x00B1; 0.81</td>
<td valign="top" align="center">3.23 &#x00B1; 0.80</td>
<td valign="top" align="center">4.16 &#x00B1; 0.66</td>
</tr>
<tr>
<td valign="top" align="left">5001&#x2013;8000</td>
<td valign="top" align="center">2.51 &#x00B1; 0.76</td>
<td valign="top" align="center">3.82 &#x00B1; 0.74</td>
<td valign="top" align="center">3.26 &#x00B1; 0.82</td>
<td valign="top" align="center">4.25 &#x00B1; 0.65</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;8001</td>
<td valign="top" align="center">2.46 &#x00B1; 0.71</td>
<td valign="top" align="center">3.99 &#x00B1; 0.73</td>
<td valign="top" align="center">3.33 &#x00B1; 0.90</td>
<td valign="top" align="center">4.35 &#x00B1; 0.69</td>
</tr>
<tr>
<td valign="top" align="left"><italic>F</italic></td>
<td valign="top" align="center">0.459</td>
<td valign="top" align="center">25.762<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.886</td>
<td valign="top" align="center">11.235<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Years of experience</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2264;4</td>
<td valign="top" align="center">2.51 &#x00B1; 0.02</td>
<td valign="top" align="center">3.76 &#x00B1; 0.02</td>
<td valign="top" align="center">3.26 &#x00B1; 0.02</td>
<td valign="top" align="center">4.17 &#x00B1; 0.67</td>
</tr>
<tr>
<td valign="top" align="left">5&#x2013;10</td>
<td valign="top" align="center">2.46 &#x00B1; 0.02</td>
<td valign="top" align="center">3.76 &#x00B1; 0.02</td>
<td valign="top" align="center">3.24 &#x00B1; 0.03</td>
<td valign="top" align="center">4.29 &#x00B1; 0.65</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;11</td>
<td valign="top" align="center">2.54 &#x00B1; 0.04</td>
<td valign="top" align="center">3.74 &#x00B1; 0.05</td>
<td valign="top" align="center">3.24 &#x00B1; 0.05</td>
<td valign="top" align="center">4.22 &#x00B1; 0.68</td>
</tr>
<tr>
<td valign="top" align="left"><italic>F</italic></td>
<td valign="top" align="center">2.037</td>
<td valign="top" align="center">0.124</td>
<td valign="top" align="center">0.247</td>
<td valign="top" align="center">9.932<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Daily working hours</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2264;8</td>
<td valign="top" align="center">2.35 &#x00B1; 0.79</td>
<td valign="top" align="center">3.90 &#x00B1; 0.78</td>
<td valign="top" align="center">3.36 &#x00B1; 0.79</td>
<td valign="top" align="center">4.25 &#x00B1; 0.69</td>
</tr>
<tr>
<td valign="top" align="left">8&#x2013;12</td>
<td valign="top" align="center">2.52 &#x00B1; 0.74</td>
<td valign="top" align="center">3.73 &#x00B1; 0.77</td>
<td valign="top" align="center">3.24 &#x00B1; 0.82</td>
<td valign="top" align="center">4.21 &#x00B1; 0.65</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;12</td>
<td valign="top" align="center">2.67 &#x00B1; 0.72</td>
<td valign="top" align="center">3.56 &#x00B1; 0.75</td>
<td valign="top" align="center">3.05 &#x00B1; 0.86</td>
<td valign="top" align="center">4.19 &#x00B1; 0.67</td>
</tr>
<tr>
<td valign="top" align="left"><italic>F</italic></td>
<td valign="top" align="center">21.072<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">21.842<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">13.518<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.783</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t3fns1"><p><italic>&#x002A;P &#x003C; 0.05, &#x002A;&#x002A; P &#x003C; 0.01.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS5">
<title>Mediation Regression Models of Study Variables</title>
<p>Let us consider Path 1 (<xref ref-type="table" rid="T4">Table 4</xref>) as an example for brief overview. The results in <xref ref-type="table" rid="T4">Table 4</xref> and <xref ref-type="fig" rid="F1">Figure 1</xref> can be summarized as follows: the direct effect of work stress on job satisfaction is &#x2013;0.223, and the total effect of work stress on job satisfaction is &#x2013;0.267. The a&#x002A;b&#x002A;c&#x2019; is positive, indicating the mediating role psychological capital has in explaining the relationship between couriers&#x2019; work stress and job satisfaction (<xref ref-type="fig" rid="F1">Figure 1</xref>). Path 2 similarly indicates the mediating role of psychological capital (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Results of mediation analyses.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Paths</td>
<td valign="top" align="center">a</td>
<td valign="top" align="center">b</td>
<td valign="top" align="center">c&#x2019;</td>
<td valign="top" align="center">a<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref>b</td>
<td valign="top" align="center">95% CI of a<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref>b</td>
<td valign="top" align="center">c</td>
<td valign="top" align="center">SE</td>
<td valign="top" align="center">R<sup>2</sup></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1. WS &#x2192; PC &#x2192; JS</td>
<td valign="top" align="center">&#x2013;0.241<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.184<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2013;0.223<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2013;0.044<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">(&#x2013;0.058, &#x2013;0.032)</td>
<td valign="top" align="center">&#x2013;0.267<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.136</td>
</tr>
<tr>
<td valign="top" align="left">2. WS &#x2192; PC &#x2192; SQ</td>
<td valign="top" align="center">&#x2013;0.241<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.138<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2013;0.115<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2013;0.033<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">(&#x2013;0.047, &#x2013;0.021)</td>
<td valign="top" align="center">&#x2013;0.148<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.089</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t4fns1"><p><italic>N = 2831. Path 1 was controlled for gender, education level, monthly income, and daily working hours. Path 2 was controlled for age, marital status, and daily working hours. WS, work stress; JS, job satisfaction; PC, psychological capital; SQ, sleep quality. &#x002A;P &#x003C; 0.05 and &#x002A;&#x002A;P &#x003C; 0.01, the indirect effect is significant (&#x002A;) when the 95% CI does not include 0. SE, bootstrap regression standard error; R<sup>2</sup>, variance accounted for; c&#x2019;, direct effect; a&#x002A;b, indirect effect; c, total effect.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>The mediating role of PC in explaining the relation between the WS and JS of couriers. <italic>N</italic> = 2831; controlled for gender, age, educational level, monthly income, and daily working hours. WS, work stress; PC, psychological capital; JS, job satisfaction.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-730147-g001.tif"/>
</fig>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>The mediating role of PC in explaining the relation between the WS and SQ of couriers. <italic>N</italic> = 2831; controlled for gender, age, educational level, monthly income, and daily working hours. WS, work stress; PC, psychological capital; SQ, sleep quality.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-730147-g002.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>A cross-sectional study was conducted to understand work-related stress among couriers, analyze the relationship between work stress, job satisfaction, and sleep quality, and verify the mediating role of psychological capital.</p>
<sec id="S4.SS1">
<title>Current State of Courier Work Stress</title>
<p>This survey found that couriers experience a medium level of work stress, which is lower than the results of other Chinese studies with couriers (<xref ref-type="bibr" rid="B39">Wang et al., 2015</xref>). The discrepancy between results may be because of variations between regions and sample sizes. Studies have shown that employees experience feelings of nervousness and unease when they are under pressure at work. This leads to lower work efficiency, lower job satisfaction, resignations, and other phenomena that have a negative impact on personal and organizational development (<xref ref-type="bibr" rid="B21">Kivimaki et al., 2006</xref>; <xref ref-type="bibr" rid="B20">Jamal, 2007</xref>; <xref ref-type="bibr" rid="B31">Melchior et al., 2007</xref>; <xref ref-type="bibr" rid="B41">Webster et al., 2010</xref>; <xref ref-type="bibr" rid="B43">Yang et al., 2019</xref>). Courier work is tedious, with heavy workloads and low benefits, which only entrenches their work-related stress. This stress is exacerbated by customer distrust and inordinate demands, as well as customer complaints. These external factors influencing couriers&#x2019; work stress affect their attitude, job satisfaction, and sleep quality.</p>
</sec>
<sec id="S4.SS2">
<title>Mediating Role of Psychological Capital</title>
<p>This study shows that psychological capital plays an intermediary role in the relationship between work stress and couriers&#x2019; job satisfaction and sleep quality. The results are consistent with other studies (<xref ref-type="bibr" rid="B16">Hayes, 2013</xref>). Bolstering psychological capital has a positive effect on work-related stress. It can be regarded as a supplementary mediating effect, indicating that the mediating effect of psychological capital has been established. Couriers are under tremendous pressure. They are overtaxed because of workload and client interaction, causing a physical, mental, and spiritual burn-out. Couriers&#x2019; work stress is negatively correlated with their psychological capital. The relationship between psychological capital and work stress is explained according to the resource conservation theory (<xref ref-type="bibr" rid="B17">Hobfoll, 2001</xref>). The theory assumes that first, individuals make efforts to acquire, retain, protect, and cultivate valuable resources and minimize resource losses. Second, stress occurs when personal resources are threatened by loss. The work stress will consume the individuals&#x2019; favorable resources, ultimately precipitating the negative consequences of the pressure. If the individual has sufficient personal resources to make up for the loss, the adverse effects can be prevented. Studies have confirmed the moderating effect of personal resources. <xref ref-type="bibr" rid="B38">Van Yperen and Snijders (2000)</xref> and <xref ref-type="bibr" rid="B32">Pierce and Gardner (2004)</xref> found that self-efficacy played a moderating role between job requirements and mental health. Therefore, it can be inferred that psychological capital is a crucial resource. It can balance the negative experiences of courier work, alleviate the resource consumption caused by work-related stress, prevent adverse effects, enhance job satisfaction, and improve sleep quality (<xref ref-type="bibr" rid="B37">Thoits, 1994</xref>).</p>
</sec>
<sec id="S4.SS3">
<title>Implications for Organizational Development</title>
<p>Psychological capital has been shown to have a positive psychological impact on people&#x2019;s work and home life, and it promotes spontaneous individual growth, facilitating organizational development (<xref ref-type="bibr" rid="B1">Avey et al., 2011</xref>). Therefore, improving psychological capital is a necessary intervention to improve couriers&#x2019; job satisfaction and sleep quality. Planned psychological training and group counseling can improve couriers&#x2019; sense of self-efficacy and self-confidence. These interventions promote self-actualizing behavior, the maintenance of an optimistic attitude, and swift recovery from psychological setbacks. Organizations should particularly focus on the cultivation of couriers&#x2019; self-efficacy, confidence, and optimism.</p>
</sec>
<sec id="S4.SS4">
<title>Limitations</title>
<p>Some limitations in our study should be noted. Our study is cross-sectional. Without a longitudinal survey, the causal relationship between variables cannot be explained. Further longitudinal studies can solve this problem. Moreover, due to the functional characteristics of the express delivery industry, the number of female participants in this study is relatively small. Lastly, the study is limited to couriers only in Beijing. A larger sample needs to be surveyed to verify the generalizability of the study results.</p>
</sec>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>This study shows that couriers in Beijing experience an medium level of work stress. Measures should be taken to reduce courier work stress to guarantee their job satisfaction and sleep quality. The effect of psychological capital on couriers&#x2019; job satisfaction and sleep quality indicates that this variable has practical significance in promoting their health at work and home. It provides a valuable reference for the human resource management of couriers in the future.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="FS1">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of Beijing Rehabilitation Hospital, Capital Medical University. We obtained the consent of each participants involved in the research process. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>YJ and HY conceived and designed the experiments. YX, YJ, and YL performed the experiments. YX and LS analyzed the data. LS and YL contributed reagents, materials, and analysis tools and provided technical support. YX and JT wrote the manuscript. LS and HY critically revised the manuscript. All authors checked and proofread the final version of the manuscript.</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="pudiscl1" 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>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the Guangdong Basic and Applied Basic Research Foundation (2020A1515110369), National Natural Science Foundation of China (72104098), and Project funded by China Postdoctoral Science Foundation (2021M701592).</p>
</sec>
<ack><p>The authors thank all participants in this study. The authors also thank Beijing Federation of Trade Unions and Beijing Express Association for their strong support.</p>
</ack>
<sec id="S11" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyg.2021.730147/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyg.2021.730147/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="FS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"></supplementary-material>
</sec>
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