{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T23:02:45Z","timestamp":1787871765478,"version":"build-2784847793"},"reference-count":37,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:00:00Z","timestamp":1679270400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:00:00Z","timestamp":1679270400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Nutr Health"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The Movement Control Orders (MCO) in Malaysia due to the COVID-19 pandemic had a profound impact on the lifestyle behaviours, weight changes, and mental health of the population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To determine the changes in physical activity, sedentary behaviour, body weight status and mental health status among Malaysian adults before and during the pandemic.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 338 Malaysian adults participated in this cross-sectional online study. Sociodemographic and anthropometric data were self-reported. Physical activity and sedentary behaviour were assessed using International Physical Activity Questionnaire-Short Form (IPAQ-SF) while the Perceived Stress Scale (PSS-10), Patient Health Questionnaire (PHQ-9) and Generalised Anxiety Disorder Assessment (GAD-7) were used to examine stress, depression and anxiety, respectively. All statistical analysis was performed using SPSS version 28.0.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The results showed an average weight gain of 0.6\u2005kg among the participants with 45.5% of them experiencing weight gain. In addition, sedentary behaviour (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009&lt;\u20090.001), PSS-10 score (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009&lt;\u20090.001), PHQ-9 score (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009=\u20090.002) and GAD-7 score (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009=\u20090.001) were significantly increased during the COVID-19 pandemic whereas the level of physical activity was significantly decreased (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009=\u20090.003) during the pandemic. Weight changes during the pandemic were found to be associated with age, sedentary hours, and PHQ-9 score. Through binary logistic regression, sedentary hours (AOR\u2009=\u20091.068, 95% CI\u2009=\u20091.002\u20131.139,\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009=\u20090.043) were identified to be a risk factor for weight gain during the pandemic.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The findings suggested that public health interventions to prevent weight gain should focus on strategies to increase physical activity for sedentary lifestyles.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/02601060231164434","type":"journal-article","created":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T03:46:20Z","timestamp":1679283980000},"page":"187-196","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Weight gain, poor mental health and increased sedentary hours among Malaysian adults during the COVID-19 pandemic"],"prefix":"10.1177","volume":"31","author":[{"given":"Guo Fu","family":"Ng","sequence":"first","affiliation":[{"name":"University of Nottingham Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3519-0951","authenticated-orcid":false,"given":"Shi-Hui","family":"Cheng","sequence":"additional","affiliation":[{"name":"University of Nottingham Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2023,3,20]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0250625"},{"key":"e_1_3_3_3_1","first-page":"1","article-title":"Poor eating habits and predictors of weight gain during the COVID-19 quarantine measures in Kuwait: A cross-sectional study","volume":"9","author":"AlMughamis N","year":"2021","unstructured":"AlMughamis N, AlAsfour S, Mehmood S (2021) Poor eating habits and predictors of weight gain during the COVID-19 quarantine measures in Kuwait: A cross-sectional study. 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