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10.2196/19630

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suck abstract from ncbi


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pmid32589149      JMIR+Public+Health+Surveill 2020 ; 6 (3): e19630
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  • Global Changes and Factors of Increase in Caloric/Salty Food Intake, Screen Use, and Substance Use During the Early COVID-19 Containment Phase in the General Population in France: Survey Study #MMPMID32589149
  • Rolland B; Haesebaert F; Zante E; Benyamina A; Haesebaert J; Franck N
  • JMIR Public Health Surveill 2020[Sep]; 6 (3): e19630 PMID32589149show ga
  • BACKGROUND: The international outbreak of coronavirus disease (COVID-19) has led many countries to enforce drastic containment measures. It has been suggested that this abrupt lockdown of populations will foster addiction-related habits such as caloric/salty food intake, screen use, and substance use. OBJECTIVE: Our aim was to assess the global changes and factors of increase in addiction-related habits during the early COVID-19 containment phase in France. METHODS: A web-based survey was provided from day 8 to day 13 of the containment and was completed by 11,391 participants. The questions explored sociodemographic features, psychiatric/addiction history, material conditions of lockdown, general stress, mental well-being, and reported changes in several addiction-related behaviors. Global changes were described and factors of increase were explored using population-weighted and adjusted logistic regression models, providing adjusted odds ratios (aORs) and their 95% confidence intervals. RESULTS: Overall, the respondents reported more increases in addiction-related habits than decreases, specifically 28.4% (caloric/salty food intake), 64.6% (screen use), 35.6% (tobacco use), 24.8% (alcohol use), and 31.2% (cannabis use). Reduced well-being scores and increased stress scores were general factors of increase in addiction-related habits (P<.001 for all habits). Factors of increase in caloric/salty food intake (n=10,771) were female gender (aOR 1.62, 95% CI 1.48-1.77), age less than 29 years (P<.001), having a partner (aOR 1.19, 95% CI 1.06-1.35), being locked down in a more confined space (per 1 square meter/person decrease: aOR 1.02, 95% CI 1.01-1.03), being locked down alone (aOR 1.29, 95% CI 1.11-1.49), and reporting current (aOR 1.94, 95% CI 1.62-2.31) or past (aOR 1.27, 95% CI 1.09-1.47) psychiatric treatment. Factors of increase in screen use (n=11,267) were female gender (aOR 1.31, 95% CI 1.21-1.43), age less than 29 years (P<.001), having no partner (aOR 1.18, 95% CI 1.06-1.32), being employed (P<.001), intermediate/high education level (P<.001), being locked down with no access to an outdoor space (aOR 1.16, 95% CI 1.05-1.29), being locked down alone (aOR 1.15, 95% CI 1.01-1.32), living in an urban environment (P<.01), and not working (P<.001). Factors of increase in tobacco use (n=2787) were female gender (aOR 1.31, 95% CI 1.11-1.55), having no partner (aOR 1.30, 95% CI 1.06-1.59), intermediate/low education level (P<.01), and still working in the workplace (aOR 1.47, 95% CI 1.17-1.86). Factors of increase in alcohol use (n=7108) were age 30-49 years (P<.05), a high level of education (P<.001), and current psychiatric treatment (aOR 1.44, 95% CI 1.10-1.88). The only significant factor of increase in cannabis use (n=620) was intermediate/low level of education (P<.001). CONCLUSIONS: The early phase of COVID-19 containment in France led to widespread increases in addiction-related habits in the general population. Reduced well-being and increased stress were universal factors of increase. More specific factors were associated with increases in each of the explored habits.
  • |*Coronavirus Infections/epidemiology/psychology/virology[MESH]
  • |*Diet[MESH]
  • |*Health Behavior[MESH]
  • |*Pandemics[MESH]
  • |*Pneumonia, Viral/epidemiology/psychology/virology[MESH]
  • |*Screen Time[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Behavior, Addictive/*epidemiology[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |Coronavirus[MESH]
  • |Feeding Behavior[MESH]
  • |Female[MESH]
  • |France/epidemiology[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Mental Health[MESH]
  • |Middle Aged[MESH]
  • |Odds Ratio[MESH]
  • |Prevalence[MESH]
  • |SARS-CoV-2[MESH]
  • |Sodium Chloride, Dietary/administration & dosage[MESH]
  • |Substance-Related Disorders/*epidemiology/etiology[MESH]


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