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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Food Syst.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Sustainable Food Systems</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Food Syst.</abbrev-journal-title>
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<issn pub-type="epub">2571-581X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fsufs.2026.1769191</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
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<title-group>
<article-title>Quantifying household food waste in Kuwait: day-of-week patterns, behaviors, and food security implications</article-title>
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<name><surname>AlAli</surname> <given-names>Saleh</given-names></name>
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<aff id="aff1"><institution>Nutrition and Food Science Department, College of Life Sciences, Kuwait University</institution>, <city>Kuwait City</city>, <country country="kw">Kuwait</country></aff>
<author-notes>
<corresp id="c001"><label>&#x0002A;</label>Correspondence: Saleh AlAli, <email xlink:href="mailto:saleh.ali2@ku.edu.kw">saleh.ali2@ku.edu.kw</email>; Wed Al-Otaibi, <email xlink:href="mailto:wed.alotaibi@ku.edu.kw">wed.alotaibi@ku.edu.kw</email></corresp>
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<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-04">
<day>04</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>10</volume>
<elocation-id>1769191</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>05</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2026 AlAli, Al-Otaibi, Altawari, Alajmi, Rashid and Abubker.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>AlAli, Al-Otaibi, Altawari, Alajmi, Rashid and Abubker</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-04">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Food waste is a modifiable contributor to climate change and food insecurity, yet household-level measurement data in Kuwait remain limited. This study aimed to quantify household food waste during a short monitoring period and identify day-of-week patterns in waste generation.</p>
</sec>
<sec>
<title>Methods</title>
<p>Using a 15-day food waste diary, 150 households recorded the weight and composition of daily waste (excess, expired, non-edible) followed by a post-monitoring period questionnaire.</p>
</sec>
<sec>
<title>Results</title>
<p>Food waste declined from 12.5 kg per household in week 1 to 11.7 kg per household in week 2. A 5.8% reduction in food waste occurred from week 1 to week 2. Fridays and Mondays recorded the highest waste, while Wednesdays and Saturdays recorded the lowest. Excess food constituted most food waste in both weeks.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Findings provide short-term household-level waste estimates and identify temporal patterns and composition of waste discarded. Although these results reflect a short monitoring period, they highlight peak waste days and main behaviors contributing to waste generation, which can help inform initiatives aimed at reducing food waste.</p>
</sec></abstract>
<kwd-group>
<kwd>day-of-week patterns</kwd>
<kwd>food security</kwd>
<kwd>food waste diary quantification</kwd>
<kwd>household waste</kwd>
<kwd>Kuwait</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
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<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="17"/>
<page-count count="9"/>
<word-count count="6568"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Waste Management in Agroecosystems</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Food waste is a pertinent environmental concern that undermines the sustainable development of food systems globally (<xref ref-type="bibr" rid="B15">Wani et al., 2024</xref>). Food waste represents a dire ethical and environmental concern and a growing food security challenge (<xref ref-type="bibr" rid="B15">Wani et al., 2024</xref>). In countries such as Kuwait, which rely almost exclusively on food imports, food security is especially important (<xref ref-type="bibr" rid="B13">UN ESCWA, 2021</xref>; <xref ref-type="bibr" rid="B16">World Economic Forum, 2025</xref>). Food waste places an added financial strain on efforts toward sustainability, self-sufficiency, and ultimately progress toward Kuwait&#x00027;s 2035 Vision. The complex geopolitical climate of the region has exposed vulnerabilities across global food supply chains, reinforcing the need to reduce food waste and support local production to maintain national food security (<xref ref-type="bibr" rid="B10">Panghal et al., 2022</xref>; <xref ref-type="bibr" rid="B7">Fenech et al., 2011</xref>).</p>
<p>According to the 2024 United Nations Environmental Program (UNEP) Food Waste Index Report, an estimated 1.05 billion tons of food is wasted annually, yet an estimated 673 million people go hungry daily and 2.33 billion are food insecure (<xref ref-type="bibr" rid="B14">United Nations Environment Programme, 2024</xref>; <xref ref-type="bibr" rid="B17">World Health Organization, 2024</xref>). Although food waste occurs at every step of the supply chain, 60% of total food waste comes from households (<xref ref-type="bibr" rid="B14">United Nations Environment Programme, 2024</xref>).</p>
<p>Turning to Kuwait, the context for this study, the limited data available paints a grim picture of the food waste situation. Recent data from the Kuwait Environmental Public Authority shows that in 2019, 1.4 million tons of waste were generated by households alone (<xref ref-type="bibr" rid="B5">Environmental Protection Authority, 2022</xref>). On average, each resident generates 1.6 kg of municipal solid waste per day, close to double the global average of 0.74 kg per day (<xref ref-type="bibr" rid="B5">Environmental Protection Authority, 2022</xref>). Organic material accounted for 26% of total household waste, making food and biodegradable materials the largest defined category of waste. Similarly, data from a municipal solid waste characterization study in Kuwait estimates each person generates 1.7 kg of total waste daily and 35.1% of total waste is from food (<xref ref-type="bibr" rid="B1">Alshawaf et al., 2025</xref>).</p>
<p>The environmental implications of discarding excessive amounts of organic material are significant. Approximately 88% of total waste ends up in one of six landfills in Kuwait, while only 11% of waste is recycled (<xref ref-type="bibr" rid="B5">Environmental Protection Authority, 2022</xref>). The untreated organic waste from only three of these landfills emits an estimated 4.5 million tons of carbon dioxide gas annually (<xref ref-type="bibr" rid="B5">Environmental Protection Authority, 2022</xref>). Additionally, liquids from untreated organic waste produce highly toxic leachate, introducing a series of hazards to the environment by contaminating soil and groundwater (<xref ref-type="bibr" rid="B3">Dagwar and Dutta, 2024</xref>). However, these statistics should be interpreted cautiously as they are derived from national waste characterizations rather than household data, and therefore may not accurately represent household food waste generation.</p>
<p>Despite the gravity of the waste situation in Kuwait, there&#x00027;s a lack of evidence directly measuring food waste generated at the household level in Kuwait and the Gulf region. The current household waste estimates are based on extrapolations from municipal solid waste or national and regional studies, which limits our understanding of the amount and composition of food waste households typically generate. These estimates fail to capture temporal patterns, such as, day-of-week fluctuations and typical household practices that may contribute to food waste. To address these limitations, this study directly measures food waste at the household level, to provide a locally validated baseline and ultimately, improve understanding of the food waste situation in Kuwait.</p>
<p>Previous international studies measuring household food waste demonstrate how simple behavioral changes can effectively reduce waste. For example, a 6-month field experiment divided 80 Brazilian households into three categories: a meal planning group, a grocery list group, and a control group (<xref ref-type="bibr" rid="B12">Ramos et al., 2023</xref>). All groups weighed food waste daily, but only two groups were instructed to make behavioral changes. Interestingly, a progressive decline in waste occurred in all groups. The authors therefore concluded that the &#x0201C;measurement effect&#x0201D; was responsible for the reduction in waste, regardless of whether they meal planned or made grocery lists, i.e., households reduced waste because they started measuring it. This effect is also known as behavioral reactivity commonly associated with diary based food waste studies.</p>
<p>Different methods such as, self-reported surveys, food waste diaries, and waste composition analysis have been implemented to measure household food waste. Each methodological approach has its respective strengths and limitations. While self-reported surveys are cost-effective, they are prone to recall bias and can underestimate waste. On the other hand, food waste diaries paired with direct weighing of food waste provide more detailed information and have been used to generate national estimates of household food waste. Food diaries can also capture day-to-day patterns, which makes them useful to describe temporal patterns and monitor change, although estimates may underestimate quantities. Studies comparing waste composition analysis, which involves physical sorting and weighing of waste, show that diaries may underestimate household food waste by 7% to 40% (<xref ref-type="bibr" rid="B11">Quested et al., 2020</xref>). This underestimation may be the result of misreporting, behavioral reactivity during food waste monitoring, and measurement biases. In addition, measurements from diary-based food waste studies are not always comparable with other similar studies. For example, diary-based household food waste estimates in Europe range from 18.2 kg/person/year in Switzerland to 74.5 kg/person/year in Lithuania, but slight differences in methods such as household visits and follow-ups during the study period may have an effect on participant measurements and limit direct comparisons (<xref ref-type="bibr" rid="B4">Ei&#x0010D;aite and Bale&#x0017D;entis, 2024</xref>; <xref ref-type="bibr" rid="B2">Ammann et al., 2021</xref>; <xref ref-type="bibr" rid="B8">Hartikainen et al., 2025</xref>). While waste composition analysis may provide more accurate measurements of waste it is logistically difficult to implement at larger scales, especially for daily measurements over a consecutive period. For this reason, a food diary with direct weighing over a 15-day monitoring period was selected as a practical, cost-effective method that can include a larger number and broader sample of households, however food waste quantities should be interpreted with caution. The 15-day monitoring period was selected to provide repeated measurements on weekdays and weekends. This relatively short duration also helps with participant compliance while also allowing day-of-week comparisons. This study design is also consistent with previous food waste diary studies suggesting that 14-day monitoring periods can capture household food waste patterns (<xref ref-type="bibr" rid="B8">Hartikainen et al., 2025</xref>).</p>
<p>Few studies in Kuwait and the Gulf region have directly measured household food waste and identified peak waste days and behaviors that contribute to food waste. This study aims to measure household food waste over a 15-day period and determine when waste peaks and examine if waste decreases over the monitoring period. Findings from this study provide a locally validated household-level baseline that can inform national food waste reduction strategies in Kuwait. Prevention strategies can be tailored and focused around peak waste days, behaviors, and reasons for waste identified in this study during this short monitoring period. It was hypothesized that food waste would progressively decrease as the monitoring period progressed.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<label>2</label>
<title>Materials and methods</title>
<p>A cross-sectional study was designed using household food waste logs collected over a 15-day period in Kuwait. A total of 160 families, each representing a different household, were recruited to measure and record daily food waste. Demographic characteristics were collected prior to the 15-day monitoring period, and a follow-up questionnaire collecting qualitative data was administered after. A 15-day monitoring period was selected to provide repeated waste measurements across weekdays and weekends, capturing two full weekly cycles. The short duration ensures participation compliance and reduces dropout, while still allowing day-of-week comparisons during the monitoring period. This method is consistent with previous diary-based household food waste studies that demonstrate a short 14-day period is sufficient to track household food waste trends while limiting participant burden and dropout rates (<xref ref-type="bibr" rid="B8">Hartikainen et al., 2025</xref>). Participants with permanent residence in any of Kuwait&#x00027;s governorates were selected using stratified random sampling. A short description of the study was provided to participants with data confidentiality disclaimers and requirements for participation. Items required for participation were access to a 30-gallon bag and a device to weigh trash bags (a luggage scale or similar tool). Participants were explicitly instructed to only measure food waste and exclude any other garbage or recyclable material. Households included in the study provided informed consent and had no anticipated travel plans within the study period. To ensure waste measured would reflect in-home food shopping and preparation behaviors, households were excluded if they dined out more than five times per week or relied exclusively on home catering services. This may skew the sample toward households that cook at home more often and limit generalizability to frequent dining-out households. Participants were required to be available to complete the post-monitoring period survey. All surveys were provided in both English and Arabic to ensure inclusion of a broader sample.</p>
<p>Of the 160 households, 10 were excluded for not completing the survey. An original questionnaire with a combination of both quantitative and qualitative questions was used to measure and understand practices and behaviors contributing to excess food waste. The survey is comprised of three parts, (1) a baseline questionnaire, (2) a 15-day monitoring period, and (3) a post-monitoring period survey. The baseline questionnaire included seven demographic questions, including education status, monthly income, and number of household members. Participants were then given either a paper or electronic copy of a 15-day waste log to record weight, number of bags, and composition of food waste daily. Lastly, 13 items were used to collect qualitative data after the monitoring period.</p>
<p>All participants were instructed to use a luggage scale to weigh waste bags and to use a 30-gallon trash bag when counting the daily number of bags. Each day, participants indicated the type of food waste, specifically if it contained excess or expired food or other unavoidable food waste. Instead of recording exact weight of waste, participants indicated the nearest weight category (&#x0003C; 0.5, 1, 2, etc.). All responses were digitized, and the weight categories were converted to kilogram values during the analysis. Using categorical values rather than exact measurements may introduce measurement error and affect the total waste estimates, but day-of-week patterns are less likely to be affected since the same recording method was used throughout the study. The follow-up questionnaire included questions related to food purchasing, preparation, and preservation. Participants identified factors contributing to food waste, such as over-purchasing, over-cooking, and expired foods. Information about the category of food frequently wasted was also collected for each household. Lastly, two questions examined whether participation in the 15-day monitoring period influenced behaviors and attitudes related to food waste.</p>
</sec>
<sec sec-type="results" id="s3">
<label>3</label>
<title>Results</title>
<sec>
<label>3.1</label>
<title>Demographic characteristics</title>
<p><xref ref-type="table" rid="T1">Table 1</xref> presents the demographic characteristics of the 150 households included in the analysis. The number of household members was approximately equal; 50% reported 3&#x02013;6 members and 49.3% had 7&#x02013;13 members. The remaining household (0.67%) reported less than 3 members. Using mid-point values, the mean household size is estimated to be 7.2 members per household, resulting in an estimated average of 1,079 participants across 150 households.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Demographic characteristics of participating households (<italic>N</italic> = 150).</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Demographic characteristic</bold></th>
<th valign="top" align="center"><bold><italic>N</italic> (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="2"><bold>Number of household members</bold></td>
</tr>
<tr>
<td valign="top" align="left">Less than 3</td>
<td valign="top" align="center">1 (0.67)</td>
</tr>
<tr>
<td valign="top" align="left">3&#x02013;6</td>
<td valign="top" align="center">75 (50)</td>
</tr>
<tr>
<td valign="top" align="left">7&#x02013;13</td>
<td valign="top" align="center">74 (49.3)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Education level</bold></td>
</tr>
<tr>
<td valign="top" align="left">Middle school</td>
<td valign="top" align="center">9 (6)</td>
</tr>
<tr>
<td valign="top" align="left">High school</td>
<td valign="top" align="center">25 (16.6)</td>
</tr>
<tr>
<td valign="top" align="left">Diploma</td>
<td valign="top" align="center">1 (0.67)</td>
</tr>
<tr>
<td valign="top" align="left">Bachelor&#x00027;s degree</td>
<td valign="top" align="center">87 (58)</td>
</tr>
<tr>
<td valign="top" align="left">Master&#x00027;s or Doctorate degree</td>
<td valign="top" align="center">28 (18.6)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Average monthly income</bold></td>
</tr>
<tr>
<td valign="top" align="left">Less than 1,000 KWD</td>
<td valign="top" align="center">6 (4)</td>
</tr>
<tr>
<td valign="top" align="left">1,000&#x02013;2,000 KWD</td>
<td valign="top" align="center">60 (40)</td>
</tr>
<tr>
<td valign="top" align="left">2,000&#x02013;3,000 KWD</td>
<td valign="top" align="center">46 (30.6)</td>
</tr>
<tr>
<td valign="top" align="left">More than 3,000 KWD</td>
<td valign="top" align="center">38 (25.3)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Weekly average food budget</bold></td>
</tr>
<tr>
<td valign="top" align="left">Less than 50 KWD</td>
<td valign="top" align="center">36 (24)</td>
</tr>
<tr>
<td valign="top" align="left">50&#x02013;100 KWD</td>
<td valign="top" align="center">61 (40.6)</td>
</tr>
<tr>
<td valign="top" align="left">100&#x02013;150 KWD</td>
<td valign="top" align="center">39 (26)</td>
</tr>
<tr>
<td valign="top" align="left">More than 150 KWD</td>
<td valign="top" align="center">14 (9.3)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Number of household staff (maids, drivers, cooks)</bold></td>
</tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center">22 (14.6)</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">38 (25.3)</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">47 (31.3)</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">29 (19.3)</td>
</tr>
<tr>
<td valign="top" align="left">4 or more</td>
<td valign="top" align="center">14 (9.3)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Weekly frequency of eating out</bold></td>
</tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center">10 (6.6)</td>
</tr>
<tr>
<td valign="top" align="left">Once a week</td>
<td valign="top" align="center">48 (32)</td>
</tr>
<tr>
<td valign="top" align="left">Twice a week</td>
<td valign="top" align="center">48 (32)</td>
</tr>
<tr>
<td valign="top" align="left">Three times a week</td>
<td valign="top" align="center">33 (22)</td>
</tr>
<tr>
<td valign="top" align="left">4 or more times per week</td>
<td valign="top" align="center">11 (7.3)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Average number of garbage bags per day</bold></td>
</tr>
<tr>
<td valign="top" align="left">1 small garbage bag</td>
<td valign="top" align="center">47 (31.3)</td>
</tr>
<tr>
<td valign="top" align="left">1 medium garbage bag</td>
<td valign="top" align="center">51 (34)</td>
</tr>
<tr>
<td valign="top" align="left">1 large garbage bag</td>
<td valign="top" align="center">35 (23.3)</td>
</tr>
<tr>
<td valign="top" align="left">2&#x02013;3 medium bags</td>
<td valign="top" align="center">17 (11.3)</td>
</tr></tbody>
</table>
</table-wrap>
<p>The majority (<italic>N</italic> = 87, 58%) of participants have a bachelor&#x00027;s degree, followed by 28% with a post-graduate degree, 25% with a high school diploma, 9% with a middle school education. 40% of participants generate a household income between 1,000 and 2,000 KWD, and 40.6% spend between 50 and 100 KWD on food weekly. Most households employed one (25.3%) or two (31.3%) household aid workers, with approximately 30% employing 3 or more. 64% of households reported eating out once or twice per week, and a minority (6.6%) reported rarely or never eating out. 34% of households dispose of 1 medium garbage bag daily, followed by 31.3% estimating 1 small garbage bag daily.</p>
</sec>
<sec>
<label>3.2</label>
<title>Comparison of weekly food waste patterns</title>
<p>Food waste trends were similar in Week 1 and Week 2 (<xref ref-type="table" rid="T2">Table 2</xref>). Households reporting no waste increased from (14.4% to 16.9%, a 17.9% change). The total weight of food waste slightly decreased from an average of 1.79 kg/HH/day in Week 1 to 1.69 kg/HH/day in Week 2. Excess food (57.6% to 60%) accounted for most of the food waste, followed by expired food (13.3% to 14.7%).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Comparison of household food waste (weight and type) in week 1 and week 2.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Waste measure</bold></th>
<th valign="top" align="center"><bold>Week 1 daily average <italic>N</italic> (%) /day kg/HH/day<sup>a</sup></bold></th>
<th valign="top" align="center"><bold>Week 1 total (kg/HH/wk or N/wk)<sub>b</sub></bold></th>
<th valign="top" align="center"><bold>Week 2 daily average <italic>N</italic> (%) kg/HH/day<sup>a</sup></bold></th>
<th valign="top" align="center"><bold>Week 2 total (kg/HH/wk or N/wk<sub>b</sub>)</bold></th>
<th valign="top" align="center"><bold>Percent change (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Total waste (kg)</bold><sup><bold>c</bold></sup></td>
<td valign="top" align="center">1.79</td>
<td valign="top" align="center">12.5</td>
<td valign="top" align="center">1.69</td>
<td valign="top" align="center">11.7</td>
<td valign="top" align="center">&#x02212;5.8</td>
</tr>
<tr>
<td valign="top" align="left"><bold>No food waste</bold></td>
<td valign="top" align="center">21.6 (14.4)</td>
<td valign="top" align="center">151</td>
<td valign="top" align="center">25.4 (16.9)</td>
<td valign="top" align="center">178</td>
<td valign="top" align="center">17.9</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6"><bold>Type of food waste</bold></td>
</tr>
<tr>
<td valign="top" align="left">Excess food</td>
<td valign="top" align="center">86.4 (57.6)</td>
<td valign="top" align="center">605</td>
<td valign="top" align="center">90 (60)</td>
<td valign="top" align="center">630</td>
<td valign="top" align="center">4.2</td>
</tr>
<tr>
<td valign="top" align="left">Expired food</td>
<td valign="top" align="center">19.9 (13.3)</td>
<td valign="top" align="center">139</td>
<td valign="top" align="center">22 (14.7)</td>
<td valign="top" align="center">154</td>
<td valign="top" align="center">10.8</td>
</tr>
<tr>
<td valign="top" align="left">Non-Edible</td>
<td valign="top" align="center">22.1 (14.7)</td>
<td valign="top" align="center">155</td>
<td valign="top" align="center">12.6 (8.4)</td>
<td valign="top" align="center">88</td>
<td valign="top" align="center">&#x02212;43.2</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><italic>N</italic> = 150.</p>
<p><sup>a</sup><italic>N</italic> represents the average number of households per day reporting each variable, the percentage of total households (<italic>N</italic> = 150) in parentheses. kg/HH/day: Kilogram per household per day.</p>
<p><sup>b</sup><italic>N</italic> represents the total number of households per week reporting each variable. kg/HH/wk: Kilogram per household per week.</p>
<p><sup>c</sup>Total Waste (kg) was calculated by converting the reported weight category of each waste bag into kilograms and totaling the values for week/day. 0.5 kg was used to calculate the weight for bags in the less than 1 kg category.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<label>3.3</label>
<title>Comparison of household food waste patterns by day of week</title>
<p><xref ref-type="table" rid="T3">Table 3</xref> presents the weight and type of food waste by day-of-week. Peak waste days were Friday followed by Monday, the lowest total waste was observed on Wednesday and Saturday. Friday recorded the highest total waste (1.97 kg) accounting for 16.2% of total waste per week. Mondays were the second highest waste days (1.88 kg) with the least (11.7%) proportion of households generating no waste. No waste peaked on Saturday (18.7%), corresponding to the second lowest total waste weight (1.61 kg or 13.1% of weekly total). Thursday followed closely with (18%) reporting no waste, however, total waste on this day (1.71 kg) did not rank among the lowest. The lowest waste day was recorded on Wednesday (1.59 kg) accounting for 13.1% of weekly total waste generated. Excess food consistently accounted for most food waste ranging from (62.7 to 55.3%) of total waste. Expired and unspecified food waste were smaller contributors to total waste with ranges of 9.7&#x02013;24% and 11.7&#x02013;18.7% respectively.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Daily average household food waste weight (kg/HH/day) and type of food waste by day-of-week (<italic>N</italic> = 150).</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Day of week</bold></th>
<th valign="top" align="center"><bold>No Waste <italic>N</italic> (%)</bold></th>
<th valign="top" align="center"><bold>Total Waste (kg/HH/day)<sup>a</sup></bold></th>
<th valign="top" align="center"><bold>Percentage of weekly total waste (%)</bold></th>
<th valign="top" align="center"><bold>Excess food <italic>N</italic> (%)</bold></th>
<th valign="top" align="center"><bold>Expired food <italic>N</italic> (%)</bold></th>
<th valign="top" align="center"><bold>Non-Edible food <italic>N</italic> (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sunday</td>
<td valign="top" align="center">20 (13.3)</td>
<td valign="top" align="center">1.71</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">92 (61.3)</td>
<td valign="top" align="center">24 (16)</td>
<td valign="top" align="center">20 (13.3)</td>
</tr>
<tr>
<td valign="top" align="left">Monday</td>
<td valign="top" align="center">17.5 (11.7)</td>
<td valign="top" align="center">1.88</td>
<td valign="top" align="center">15.4</td>
<td valign="top" align="center">89 (59.3)</td>
<td valign="top" align="center">19.5 (13)</td>
<td valign="top" align="center">17.5 (11.7)</td>
</tr>
<tr>
<td valign="top" align="left">Tuesday</td>
<td valign="top" align="center">18 (12)</td>
<td valign="top" align="center">1.69</td>
<td valign="top" align="center">13.9</td>
<td valign="top" align="center">88 (58.7)</td>
<td valign="top" align="center">20 (13.3)</td>
<td valign="top" align="center">21.5 (14.3)</td>
</tr>
<tr>
<td valign="top" align="left">Wednesday</td>
<td valign="top" align="center">25 (16.7)</td>
<td valign="top" align="center">1.59</td>
<td valign="top" align="center">13.1</td>
<td valign="top" align="center">94 (62.7)</td>
<td valign="top" align="center">22.5 (15)</td>
<td valign="top" align="center">25 (16.7)</td>
</tr>
<tr>
<td valign="top" align="left">Thursday</td>
<td valign="top" align="center">27 (18)</td>
<td valign="top" align="center">1.71</td>
<td valign="top" align="center">14.1</td>
<td valign="top" align="center">84 (56)</td>
<td valign="top" align="center">22 (14.7)</td>
<td valign="top" align="center">27 (18)</td>
</tr>
<tr>
<td valign="top" align="left">Friday</td>
<td valign="top" align="center">25.5 (17)</td>
<td valign="top" align="center">1.97</td>
<td valign="top" align="center">16.2</td>
<td valign="top" align="center">87.5 (58.3)</td>
<td valign="top" align="center">14.5 (9.7)</td>
<td valign="top" align="center">25.5 (17)</td>
</tr>
<tr>
<td valign="top" align="left">Saturday</td>
<td valign="top" align="center">28 (18.7)</td>
<td valign="top" align="center">1.61</td>
<td valign="top" align="center">13.3</td>
<td valign="top" align="center">83 (55.3)</td>
<td valign="top" align="center">24 (16)</td>
<td valign="top" align="center">28 (18.7)</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>a</sup>kg/HH/day: Kilogram per household per day.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<label>3.4</label>
<title>Self-reported practices and behaviors to limit food waste</title>
<p><xref ref-type="table" rid="T4">Tables 4</xref>&#x02013;<xref ref-type="table" rid="T6">6</xref> present results from the questionnaire distributed after the 2-week food waste monitoring period. The most common causes of food waste reported by households were expired food (73.3%) and excess food (62.7%). Most households estimated disposing less than 10% of food purchases (44%), followed by 22.7% estimating discarding 10&#x02013;20% of food purchases. Fruits and vegetables were the most frequently discarded food items followed by bread or baked goods (19.3%) (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Self-reported reasons, amount, and types of food waste after the 2-week observation period (<italic>N</italic> = 150).</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Question</bold></th>
<th valign="top" align="left"><bold>Response option</bold></th>
<th valign="top" align="center"><bold><italic>N</italic> (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="6">What are the main reasons that lead to food waste in your household?<sup>a</sup></td>
<td valign="top" align="left">Expiry or rancidity</td>
<td valign="top" align="center">110 (73.3)</td>
</tr>
 <tr>
<td valign="top" align="left">Extra food</td>
<td valign="top" align="center">94 (62.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Not eating leftovers</td>
<td valign="top" align="center">69 (46.0)</td>
</tr>
 <tr>
<td valign="top" align="left">Lack of meal planning</td>
<td valign="top" align="center">16 (10.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Buying more than needed</td>
<td valign="top" align="center">20 (14.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">10 (6.7)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Estimate the percentage of food purchases that are disposed?</td>
<td valign="top" align="left">Less than 10%</td>
<td valign="top" align="center">67 (44.7)</td>
</tr>
 <tr>
<td valign="top" align="left">10&#x02013;20%</td>
<td valign="top" align="center">34 (22.7)</td>
</tr>
 <tr>
<td valign="top" align="left">21&#x02013;50%</td>
<td valign="top" align="center">25 (16.7)</td>
</tr>
 <tr>
<td valign="top" align="left">More than 50%</td>
<td valign="top" align="center">2 (1.3)</td>
</tr>
 <tr>
<td valign="top" align="left">Not sure</td>
<td valign="top" align="center">22 (14.7)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="9">What were the most common types of produce/food items disposed of?<sup>a</sup></td>
<td valign="top" align="left">Fruits</td>
<td valign="top" align="center">78 (52)</td>
</tr>
 <tr>
<td valign="top" align="left">Vegetables</td>
<td valign="top" align="center">74 (49.3)</td>
</tr>
 <tr>
<td valign="top" align="left">Dairy products</td>
<td valign="top" align="center">25 (16.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Meat or poultry</td>
<td valign="top" align="center">7 (4.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Bread and baked goods</td>
<td valign="top" align="center">29 (19.3)</td>
</tr>
 <tr>
<td valign="top" align="left">Leftovers</td>
<td valign="top" align="center">58 (38.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Canned food</td>
<td valign="top" align="center">10 (6.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Take-out meals</td>
<td valign="top" align="center">51 (34)</td>
</tr>
<tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">0 (0)</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>a</sup>Multiple-selection allowed.</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="T5">Table 5</xref> describes the food planning, preparation, and preservation strategies implemented to reduce food waste. 61% of participants reported that they sometimes plan meals before food purchases, while 18% reported that they never plan meals before grocery shopping to limit food waste. Furthermore, 68% reported always preparing a grocery list while 11% reported they never prepare a list before food shopping. 72% of households reported they sometimes take portion size into consideration during meal preparation while 42% report being always mindful of portion size. Regarding preservation techniques, the majority of households (99%) freeze perishable foods while only 1% of households vacuum-seal perishable items. 87% of participants report always following best before and expiration dates before deciding to discard or use packaged food items.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Self-reported food planning, purchasing, preparation, and preservation strategies to reduce food waste.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Question</bold></th>
<th valign="top" align="left"><bold>Response option</bold></th>
<th valign="top" align="center"><bold><italic>N</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="4">Do you make an effort to plan meals and food purchases to limit food waste?</td>
<td valign="top" align="left">Yes, always</td>
<td valign="top" align="center">45 (30.0)</td>
</tr>
 <tr>
<td valign="top" align="left">Yes, sometimes</td>
<td valign="top" align="center">61 (40.7)</td>
</tr>
 <tr>
<td valign="top" align="left">No, rarely</td>
<td valign="top" align="center">26 (17.3)</td>
</tr>
 <tr>
<td valign="top" align="left">No, never</td>
<td valign="top" align="center">18 (12)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">How do you store perishable foods to extend their life<sup>a</sup></td>
<td valign="top" align="left">Refrigerate</td>
<td valign="top" align="center">81 (54.0)</td>
</tr>
 <tr>
<td valign="top" align="left">Freeze</td>
<td valign="top" align="center">99 (66.0)</td>
</tr>
 <tr>
<td valign="top" align="left">Air-tight container</td>
<td valign="top" align="center">28 (18.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Vacuum seal</td>
<td valign="top" align="center">1 (0.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Other methods of food preservation (canning, pickling, etc.)</td>
<td valign="top" align="center">6 (4)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Do you care about best before or expiration date when deciding to use or store food?</td>
<td valign="top" align="left">Always</td>
<td valign="top" align="center">87 (58.0)</td>
</tr>
 <tr>
<td valign="top" align="left">Sometimes</td>
<td valign="top" align="center">50 (33.3)</td>
</tr>
 <tr>
<td valign="top" align="left">Rarely</td>
<td valign="top" align="center">10 (6.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Never</td>
<td valign="top" align="center">3 (2.0)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Do you plan meals in advance?</td>
<td valign="top" align="left">Daily</td>
<td valign="top" align="center">61 (40.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Weekly</td>
<td valign="top" align="center">31 (20.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Monthly</td>
<td valign="top" align="center">17 (11.3)</td>
</tr>
 <tr>
<td valign="top" align="left">Rarely</td>
<td valign="top" align="center">30 (20.0)</td>
</tr>
 <tr>
<td valign="top" align="left">Never</td>
<td valign="top" align="center">11 (7.3)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Do you prepare a grocery list?</td>
<td valign="top" align="left">Always</td>
<td valign="top" align="center">68 (45.3)</td>
</tr>
 <tr>
<td valign="top" align="left">Sometimes</td>
<td valign="top" align="center">53 (35.3)</td>
</tr>
 <tr>
<td valign="top" align="left">Rarely</td>
<td valign="top" align="center">18 (12.0)</td>
</tr>
 <tr>
<td valign="top" align="left">Never</td>
<td valign="top" align="center">11 (7.3)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Do you take portion size into consideration to limit food waste?</td>
<td valign="top" align="left">Always</td>
<td valign="top" align="center">42 (28.0)</td>
</tr>
 <tr>
<td valign="top" align="left">Sometimes</td>
<td valign="top" align="center">72 (48.0)</td>
</tr>
 <tr>
<td valign="top" align="left">Rarely</td>
<td valign="top" align="center">34 (22.7)</td>
</tr>
<tr>
<td valign="top" align="left">Never</td>
<td valign="top" align="center">2 (1.3)</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><italic>N</italic> =150.</p>
<p><sup>a</sup>Multiple-selection allowed.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<label>3.5</label>
<title>Self-reported food disposal and food waste awareness</title>
<p><xref ref-type="table" rid="T6">Table 6</xref> presents disposal practices and attitudes after the 2-week monitoring period. Excess food was most often either donated to food banks (46%) or discarded in garbage (46%), with a smaller percentage of households reporting feeding animals&#x00027; leftovers (39.3%). Expired food was most often disposed of (39.3%) in garbage, with fewer households reporting feeding it to animals (4.7%), and (22.7%) that use judgment to decide if expired food is edible. Furthermore, 29.3% of households report that they always donate food, followed by 40% reporting they sometimes do, and 20.7% indicating they never do. Interestingly, nearly all households (98%) indicated that the 2-week monitoring period helped them reassess their food waste behaviors.</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Self-reported food waste disposal practices and attitudes after 2-week survey (<italic>N</italic> = 150).</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Questions</bold></th>
<th valign="top" align="left"><bold>Response options</bold></th>
<th valign="top" align="center"><bold><italic>N</italic> (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="4">How do you dispose of excess food<sup>a</sup></td>
<td valign="top" align="left">Food bank/community fridge</td>
<td valign="top" align="center">69 (46)</td>
</tr>
 <tr>
<td valign="top" align="left">Garbage</td>
<td valign="top" align="center">69 (46)</td>
</tr>
 <tr>
<td valign="top" align="left">Feed animals</td>
<td valign="top" align="center">59 (39.3)</td>
</tr>
 <tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">5 (3.3)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">How do you dispose of expired food?<sup>a</sup></td>
<td valign="top" align="left">Garbage</td>
<td valign="top" align="center">59 (39.3)</td>
</tr>
 <tr>
<td valign="top" align="left">Ensure food is edible regardless of expiration date</td>
<td valign="top" align="center">34 (22.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Feed animals</td>
<td valign="top" align="center">7 (4.7)</td>
</tr>
 <tr>
<td valign="top" align="left">Depends on type of food</td>
<td valign="top" align="center">64 (42.7)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Did this experiment help reassess your food waste?</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">147 (98)</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">3 (2)</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>a</sup>Multiple-selection allowed.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<label>4</label>
<title>Discussion</title>
<sec>
<label>4.1</label>
<title>Main findings</title>
<p>It was hypothesized that monitoring food waste daily would increase awareness and lead to a progressive decline of waste during the monitoring period. The study findings are consistent with our hypothesis, a small decline in household food waste from Week 1 to Week 2 (<xref ref-type="table" rid="T2">Table 2</xref>), which may be consistent with short-term behavioral reactivity during monitoring. Additionally, the increase in households reporting no food waste in Week 2 may further support the possibility of short-term behavior change during monitoring (<xref ref-type="table" rid="T2">Table 2</xref>). In both weeks, excess food accounted for most of the waste disposed, suggesting that cooking and purchasing more food than needed were likely the main contributors of household food waste even as total waste declined (<xref ref-type="table" rid="T2">Table 2</xref>). These findings indicate that food waste reduction efforts should focus on skills such as, portion sizes and meal planning to prevent edible food from ending up in landfills.</p>
<p>In both weeks, food waste was highest on Fridays (295 kg, 16.2% of weekly total) (<xref ref-type="table" rid="T3">Table 3</xref>). This pattern may be related to routine weekly schedules and social practices in Kuwait, as weekends tend to include more social activities. Food waste prevention strategies can tailor messaging to specifically highlight how weekends and possible social gatherings may lead to excessive amounts of food waste, while also increasing food donation services during these times to distribute leftovers to those in need. Across all days, excess food accounted for most discarded food, while expired and unspecified food waste contributing to smaller portions of waste, further emphasizing that reduction efforts should focus on preventing over-preparation.</p>
<p>The questionnaire distributed after the 15-day monitoring period contextualized the direct measurements collected and allowed participants to reflect on their experience. Interestingly, majority of households reported expired food as the main source of their food waste, while excess food accounted for most of the disposed food during the monitoring period (<xref ref-type="table" rid="T2">Tables 2</xref>, <xref ref-type="table" rid="T4">4</xref>). This observed discrepancy suggests a gap between perceived and actual waste, or that participants were less likely to indicate that excess food was the cause of their food waste.</p>
<p>Participants also indicated fruits and vegetables most frequently discarding, highlighting an opportunity for prevention strategies to focus on produce storage and use. Portion control techniques were inconsistent with 72% reporting they sometimes keep portion control in mind when cooking food, which is consistent with excess food contributing to most of the food waste (<xref ref-type="table" rid="T5">Table 5</xref>). Food disposal practices revealed that nearly half of households regularly donate excess food to local food banks or community fridges, suggesting that improving food donation services may further reduce national food waste (<xref ref-type="table" rid="T6">Table 6</xref>). Lastly, the high level of reported awareness after the monitoring period suggests that short-term food waste diaries may increase self-awareness and be a useful tool in food waste prevention and reduction strategies, although longer term studies are needed to observe whether these changes remain long after the monitoring period.</p>
</sec>
<sec>
<label>4.2</label>
<title>Comparison to other studies</title>
<p>Comparing findings from this study to similar international household food waste studies revealed that Kuwaiti households generate greater food waste. A study conducted in Ontario, Canada on 100 households during the COVID-19 pandemic found that households discard on average 2.81 kg of food per week, whereas results from this study demonstrate that each Kuwaiti household discarded on average 12.1 kg of waste per week (<xref ref-type="table" rid="T2">Table 2</xref>) (<xref ref-type="bibr" rid="B6">Everitt et al., 2022</xref>). The mentioned study measured food waste though direct weighing of garbage bags over a week period a technique similar to the methodology of this study. However, only single-family homes were included in Canadian study, while in Kuwait, multi-generational households are common, contributing to the higher amounts of food waste observed. Additionally, this study was conducted during the height of the COVID-19 pandemic, when quarantines and lockdowns may have influenced food waste related behaviors during this unprecedented time.</p>
<p>Similar studies examined how awareness and measurement techniques influence household food waste behaviors and reporting. In a field experiment on 359 Swiss households, researchers assessed accuracy of food waste measurements by comparing three common methods: a self-reported survey, waste diary, and direct waste collection over a 1&#x02013;2-week period (<xref ref-type="bibr" rid="B9">Merian et al., 2024</xref>). In addition to the different methods used to quantify waste, each group was further divided into participants that were aware of the purpose of the study and those unaware food waste was the focus of the experiment. Their results demonstrate that participants in the unaware direct measurement group generated higher food waste, averaging 0.8 kg per household member per week, while those aware generated lower amounts of food waste, averaging 0.69 kg per household member per week. Findings from this study suggest that when participants are aware, they may modify their behavior and generate less food waste.</p>
<p>In the present sample households had an average of 7.2 members per household, generating on average 1.68 kg of food waste per household member per week (<xref ref-type="table" rid="T2">Table 2</xref>). Even when using similar waste measurement methods, food waste generation was substantially higher in Kuwaiti households compared to Western and European households. Our findings are also exceed estimated from the EPA, which indicate that each resident generates 1.6 kg of municipal solid waste per day (<xref ref-type="bibr" rid="B5">Environmental Protection Authority, 2022</xref>). Overall, these comparisons highlight the substantially higher amounts of food waste generated in Kuwait, although, household size, cultural practices, and measurement methods may explain the striking differences observed.</p>
</sec>
<sec>
<label>4.3</label>
<title>Strengths and limitations</title>
<p>To our knowledge this study is the first attempt to quantify and examine household food waste in Kuwait. A major strength of this study is in the design itself; households did not only measure food waste, but qualitative data was collected to identify behaviors and practices causing food waste generation. Additionally, a large sample of households (<italic>N</italic> = 150) were analyzed representing approximately 1,079 participants, which enhances the generalizability of these findings in the context of Kuwaiti society and in the broader Arab gulf-state region. Furthermore, the relatively long monitoring period allowed for both day-of-week and week-to-week analyses. By identifying fluctuations in waste generation, these results can guide and inform public initiatives aimed at reducing household food waste and, in turn, create more sustainable food systems in the country. Additionally, the inclusion of self-reported data on food preparation, purchasing, and preservation strategies further contextualizes the results collected during the food waste monitoring period.</p>
<p>This study, however, is not without limitations. The reliance on self-reported data and short monitoring period limits the accuracy and generalizability of the findings. Although participants were thoroughly instructed on how to measure food waste, including what items to include and size of garbage bag to use, this does not guarantee that participants consistently or accurately followed the methods provided prior to the experiment. A key limitation is due to the measurement bias from the weight recording method. By choosing the nearest weight category rather than recording the exact weights, and later converting categories to kilograms, this may introduce measurement errors and may bias total waste estimates either by over-estimating or under-estimating. In addition, participants may underreport or have different classifications of food waste. Due to these limitations, estimates of waste quantities should be interpreted with caution. However, the day-of-week patterns may be less likely affected by this limitation since the weight recording method remained consistent during the monitoring period.</p>
<p>Variability in bag size, food items included, and weighing procedures further limit the accuracy of the data collected. Additionally, the duration of the experiment may not be sufficient to measure variations and fluctuations in household food waste over time. Therefore, the modest decline in food waste observed should be interpreted as a short-term effect during the monitoring period, rather than a behavior change that lasts beyond this period. Most households in this sample were larger highly educated families, earning middle-high incomes, with more domestic staff that may have different food management practices, reducing the generalizability of these findings to the broader Kuwaiti population.</p>
</sec>
<sec>
<label>4.4</label>
<title>Future implications and research directions</title>
<p>On average, each household discarded 1.78 kg of waste per day, most of which was edible food. This relatively high volume of waste highlights the critical need for targeted interventions aimed at reducing household food waste in Kuwait. Public campaigns should focus on promoting portion control, conservative food purchasing, and moderation in meal preparation. Since waste peaked on Fridays, campaigns may be more effective if messaging includes preventing food waste on the weekends when family gatherings and social events are more likely to take place.</p>
<p>Beyond public campaigns, although household donation practices in this sample were high, the existing community fridges located in most residential areas across Kuwait have several operational challenges, specifically, maintenance issues, hygiene, and the quality of donated food. Community-wide efforts or Co-operative society management is needed to help maintain these fridges, ensuring food safety, and reduce disposal of edible food. Additionally, establishing food composting programs within neighborhoods would also help alleviate the household food waste burden, especially since households determined most of food waste as edible. Furthermore, public initiatives need to emphasize the environmental, economic, and food security implications of unsustainable food waste behaviors. Given that Kuwait heavily relies on foreign food imports and in a particularly contentious geopolitical climate, food waste is not only a sustainability burden but a national food security risk as well.</p>
<p>Future research efforts should be directed on quantifying food waste over longer periods of time, including months such as Ramadan, when large meals and communal gatherings are frequent. More research in Kuwait with a broader sample is needed determine if the same day-of-week patterns persist over longer monitoring periods. In addition to households, waste generated by food service establishments should also be investigated to quantify their burden on the national food system. Lastly, innovations in food science, specifically through the development of smart-packaging technologies, are needed to prolong the shelf life of fresh produce and minimize avoidable food waste. The implementation of both technological solutions and culturally tailored public awareness campaigns will be essential for long-term food security and progressing toward halving food waste by 2030 in Kuwait.</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Conclusions</title>
<p>Despite only a slight reduction in measured food waste observed from Week 1 to Week 2, nearly all participants reported being increasingly mindful of behaviors contributing to the waste burden. This experiment suggests that a short-term monitoring period can increase awareness and be associated with modest short-term reductions in food waste, although this effect may be due to behavioral reactivity during the monitoring period. Analyzing food waste by day-of-week revealed distinct temporal patterns, with Fridays recording the highest amount of waste observed in this sample. This pattern may relate to the religious and social significance of the day, however longer studies with a broader range of households are needed to determine if these day-of-week patterns generalize to the wider Kuwaiti population.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent was obtained from all subjects involved in the study.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>SAlA: Supervision, Writing &#x02013; original draft, Formal analysis, Software, Investigation, Resources, Writing &#x02013; review &#x00026; editing, Data curation, Visualization, Methodology, Project administration, Validation, Conceptualization. WA-O: Writing &#x02013; original draft, Formal analysis, Writing &#x02013; review &#x00026; editing, Software, Visualization, Data curation, Resources, Investigation, Conceptualization. SAlt: Writing &#x02013; review &#x00026; editing, Writing &#x02013; original draft, Software, Formal analysis, Investigation, Data curation, Visualization, Validation, Conceptualization. AA: Conceptualization, Writing &#x02013; review &#x00026; editing, Investigation, Software, Visualization, Writing &#x02013; original draft, Resources, Data curation, Formal analysis. BR: Writing &#x02013; original draft, Resources, Formal analysis, Visualization, Writing &#x02013; review &#x00026; editing, Investigation, Conceptualization, Software, Data curation. SAbu: Resources, Conceptualization, Formal analysis, Data curation, Visualization, Writing &#x02013; review &#x00026; editing, Investigation, Writing &#x02013; original draft, Software.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x00027;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>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2712369/overview">Abhishek Agarwal</ext-link>, Royal University of Bhutan, Bhutan</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3225054/overview">Vishal Gupta</ext-link>, Thapar Institute of Engineering and Technology (Deemed to be University), India</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3316885/overview">P. SInha</ext-link>, University of South Africa, South Africa</p>
</fn>
</fn-group>
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</article>