Cited by 4COVID-19 and Mental HealthEating Disorders and BehaviorsNutrition, Health and Food Behavior

Association between dietary satisfaction and depression, anxiety and stress in obese and overweight patients during the coronavirus pandemic

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Moradi, Fatemeh, Heshmati, Javad, Daneshzad, Elnaz, Ahmadi, Ali, Jafari, Tina, Persad, Emma, Fazelian, Siavash·2021·Clinical Nutrition ESPEN

Abstract

Background & aim The coronavirus disease-2019 (COVID-19) pandemic is a global health threat. The aim of this study was to evaluate the association between D-Sat and depression, anxiety and stress in obese patients during the coronavirus pandemic.Methods A cross-sectional study in 228 obese and overweight women on a weight loss diet was conducted through the use of two questionnaires. General characteristics, anthropometric indices, D-Sat and mental status were assessed in these patients.Results The greatest weight loss (WL) and waist circumference (WC) change was associated with the highest tertile of the D-Sat score in the first four months of the coronavirus pandemic (P < 0.05). Participants with the highest tertile of all D-sat score compared to those with the lowest had an 84% decrease in odds of depression. The highest tertile was also associated with decreased odds of anxiety (OR: 0.32 95%CI: 0.14; 0.68) The adjusted odds of stress score were negatively associated to the highest tertile of the D-Sat score (OR: 0.09, 95%CI (0.03, 0.23). WL was inversely related to stress (P < 0.05). Participants with higher WL and WC reduction had fewer depressive symptoms (P < 0.05). Sleep time and family income were associated with obesity.Conclusions D-Sat and positive personal and family dynamics can improve the mental status of obese and overweight patients during quarantine.

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  • Improvements in sleep, diet and exercise are linked to improvements in depression symptoms.

    “This finding aligns with the strong foundation in the literature that improvements in sleep, diet and exercise are linked to improvements in depression symptoms [82, 99, 100].”

    From Personalized machine learning guided intervention for optimizing lifestyle behaviors in depression: a pilot study (2026) · cites this paper as [99]

    The Discussion (page unavailable) links greater dietary satisfaction with better mental health and says higher activity levels have been shown to improve mental health in obese patients. The Methods and Results (pages unavailable) record sleep measures but do not link improvements in sleep to improvements in depressive symptoms; the study is cross-sectional rather than a test of changes in all three behaviors. (LLM, conf=0.86)

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Authors
Moradi, F., Heshmati, J., Daneshzad, E., Ahmadi, A., Jafari, T., Persad, E., & Fazelian, S.
Affiliations
  • Shahrekord University of Medical Sciences (IR)
  • Kermanshah University of Medical Sciences (IR)
  • Alborz University of Medical Sciences (IR)
  • Shahrekord University (IR)
  • Universität für Weiterbildung Krems (AT)
Corresponding author
Fazelian, Siavash
Venue
Clinical Nutrition ESPEN
Publisher
Elsevier BV
Published
2021-10
Volume
45
Pages
399-403
ISSN
2405-4577 (ISSN-L)
OpenAlex
W3184827071
Cited by
4
References
28
Citations by year
2026: 2 · 2022: 2
FWCI
0.34
Type
journal article
Language
en
Open access
Locations
  • Clinical Nutrition ESPEN (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
Shahrekord University of Medical Sciences
Topics
  • Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
  • Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
Keywords
dietary satisfaction, depression, anxiety, stress, obesity, overweight, weight loss diet, COVID-19 pandemic, quarantine, women, waist circumference, sleep duration, household income, mental health
MeSH terms
COVID-19, SARS-CoV-2, Anxiety, Cross-Sectional Studies, Depression, Female, Humans, Obesity, Personal Satisfaction, Patient Satisfaction, Overweight, Pandemics

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