Longitudinal Weight Gain and Related Risk Behaviors during the COVID-19 Pandemic in Adults in the US

Surabhi Bhutani, Michelle R vanDellen, Jamie A Cooper, Surabhi Bhutani, Michelle R vanDellen, Jamie A Cooper

Abstract

Cross-sectional analyses have shown increased obesogenic behaviors and a potential for weight gain during COVID-19 related peak-lockdown (March-May 2020), but longitudinal data are lacking. This study assessed longitudinal changes in body weight and lifestyle behaviors in the US adults during the pandemic.

Methods: We used Qualtrics survey to collect self-reported data on body weight, dietary, physical activity, and psychological variables (n = 727) during the peak-lockdown (April/May) and at post-lockdown (September/October). Peak-lockdown weight data were categorized based on the magnitude of weight gained, maintained, or lost, and behavioral differences were examined between categories at two time points.

Results: Body weight increased (+0.62 kg; p < 0.05) at the post-lockdown period. The body mass index also increased (26.38 ± 5.98 kg/m2 vs. 26.12 ± 5.81 kg/m2; p < 0.01) at the post-lockdown period vs. peak-lockdown period. Close to 40% of participants reported gaining either 1-4 lbs or >5 lbs of body weight during the peak-lockdown, while 18.2% lost weight. Weight-gainers engaged in riskier dietary behaviors such as frequent ultra-processed food intake (p < 0.01) and snacking (p < 0.001), were less active, and reported high stress and less craving control during peak-lockdown. Of those gaining >5 lbs, 33% continued to gain weight after the lockdown eased, while 28% maintain higher body weight. In weight-gainers, takeout meal frequency increased, and high ultra-processed food intake and stress, and low craving control continued to persist after the lockdown eased.

Conclusion: We show that the COVID-19 lockdown periods disrupted weight management among many Americans and that associated health effects are likely to persist.

Keywords: body weight; eating behaviors; physical activity; psychological factors; sedentary activity.

Conflict of interest statement

The authors declared no conflict of interest.

Figures

Figure 1
Figure 1
Pattern of Reported Weight Change Between March and September. (a) Percent of participants reporting patterns of body weight fluctuation across weight risk groups. (b) Options of patterns presented to participants to describe their weight change between March and September. Error bars represent 95% Confidence Interval.
Figure 2
Figure 2
Weight change during the post-lockdown (May-September) in participants who reported to have gained, lost, or maintained body weight during the peak-lockdown period (March through May). Error bars represent 95% Confidence Interval.

References

    1. Zachary Z., Brianna F., Brianna L., Garrett P., Jade W., Alyssa D., Mikayla K. Self-quarantine and weight gain related risk factors during the COVID-19 pandemic. Obes. Res. Clin. Pract. 2020;14:210–216. doi: 10.1016/j.orcp.2020.05.004.
    1. Schoeller D.A. The effect of holiday weight gain on body weight. Physiol. Behav. 2014;134:66–69. doi: 10.1016/j.physbeh.2014.03.018.
    1. Bhutani S., Cooper J.A. COVID-19 related home confinement in adults: Weight gain risks and opportunities. Obesity. 2020 doi: 10.1002/oby.22904.
    1. Bhutani S., Wells N., Finlayson G., Schoeller D.A. Change in eating pattern as a contributor to energy intake and weight gain during the winter holiday period in obese adults. Int. J. Obes. 2020;44:1586–1595. doi: 10.1038/s41366-020-0562-2.
    1. Cooper J.A., Tokar T. A prospective study on vacation weight gain in adults. Physiol. Behav. 2016;156:43–47. doi: 10.1016/j.physbeh.2015.12.028.
    1. Stevenson J.L., Krishnan S., Stoner M.A., Goktas Z., Cooper J.A. Effects of exercise during the holiday season on changes in body weight, body composition and blood pressure. Eur. J. Clin. Nutr. 2013;67:944–949. doi: 10.1038/ejcn.2013.98.
    1. Flanagan E.W., Beyl R.A., Fearnbach S.N., Altazan A.D., Martin C.K., Redman L.M. The impact of COVID-19 stay-at-home orders on health behaviors in adults. Obesity. 2020 doi: 10.1002/oby.23066.
    1. Bhutani S., Cooper J.A., vanDellen M.R. Self-reported changes in energy balance behaviors during COVID-19 related home confinement: A Cross-Sectional Study. medRxiv. 2020 doi: 10.1101/2020.06.10.20127753.
    1. Ammar A., Brach M., Trabelsi K., Chtourou H., Boukhris O., Masmoudi L., Bouaziz B., Bentlage E., How D., Ahmed M., et al. Effects of COVID-19 Home Confinement on Eating Behaviour and Physical Activity: Results of the ECLB-COVID19 International Online Survey. Nutrients. 2020;12:1583. doi: 10.3390/nu12061583.
    1. Cooper J.A., vanDellen M., Bhutani S. Self-weighing Practices and Associated Health Behaviors during COVID-19. Am. J. Health Behav. 2021;45:17–30. doi: 10.5993/AJHB.45.1.2.
    1. Wang Y., Beydoun M.A., Min J., Xue H., Kaminsky L.A., Cheskin L.J. Has the prevalence of overweight, obesity and central obesity levelled off in the United States? Trends, patterns, disparities, and future projections for the obesity epidemic. Int. J. Epidemiol. 2020;49:810–823. doi: 10.1093/ije/dyz273.
    1. Mason W., Suri S. Conducting behavioral research on Amazon’s Mechanical Turk. Behav. Res. Methods. 2012;44:1–23. doi: 10.3758/s13428-011-0124-6.
    1. Paolacci G., Chandler J. Inside the Turk:Understanding Mechanical Turk as a Participant Pool. Curr. Dir. Psychol. Sci. 2014;23:184–188. doi: 10.1177/0963721414531598.
    1. Monteiro C.A., Cannon G., Levy R.B., Moubarac J.C., Louzada M.L., Rauber F., Khandpur N., Cediel G., Neri D., Martinez-Steele E., et al. Ultra-processed foods: What they are and how to identify them. Public. Health Nutr. 2019;22:936–941. doi: 10.1017/S1368980018003762.
    1. Craig C.L., Marshall A.L., Sjostrom M., Bauman A.E., Booth M.L., Ainsworth B.E., Pratt M., Ekelund U., Yngve A., Sallis J.F., et al. International physical activity questionnaire: 12-country reliability and validity. Med. Sci. Sports Exerc. 2003;35:1381–1395. doi: 10.1249/01.MSS.0000078924.61453.FB.
    1. Kurtze N., Rangul V., Hustvedt B.E. Reliability and validity of the international physical activity questionnaire in the Nord-Trondelag health study (HUNT) population of men. BMC Med. Res. Methodol. 2008;8:63. doi: 10.1186/1471-2288-8-63.
    1. Cerin E., Cain K.L., Oyeyemi A.L., Owen N., Conway T.L., Cochrane T., Van Dyck D., Schipperijn J., Mitas J., Toftager M., et al. Correlates of Agreement between Accelerometry and Self-reported Physical Activity. Med. Sci. Sports Exerc. 2016;48:1075–1084. doi: 10.1249/MSS.0000000000000870.
    1. Dalton M., Finlayson G., Hill A., Blundell J. Preliminary validation and principal components analysis of the Control of Eating Questionnaire (CoEQ) for the experience of food craving. Eur. J. Clin. Nutr. 2015;69:1313–1317. doi: 10.1038/ejcn.2015.57.
    1. Hoddes E.D., Zarcone V. The development and use of the stanford sleepiness scale (SSS) Psychophysiology. 1972;9:150.
    1. Hunter J.A., Dyer K.J., Cribbie R.A., Eastwood J.D. Exploring the utility of the Multidimensional State Boredom Scale. Eur. J. Psychol. Assess. 2016;32:241. doi: 10.1027/1015-5759/a000251.
    1. Rothman K.J. No adjustments are needed for multiple comparisons. Epidemiology. 1990;1:43–46. doi: 10.1097/00001648-199001000-00010.
    1. Saville D.J. Multiple Comparison Procedures: The Practical Solution. Am. Stat. 1990;44:174–180. doi: 10.1080/00031305.1990.10475712.
    1. Bellisle F. Meals and snacking, diet quality and energy balance. Physiol. Behav. 2014;134:38–43. doi: 10.1016/j.physbeh.2014.03.010.
    1. America Gets Cooking HUNTER: Food Study Special Report; USA. [(accessed on 20 December 2020)]; Available online:
    1. Cellini N., Canale N., Mioni G., Costa S. Changes in sleep pattern, sense of time and digital media use during COVID-19 lockdown in Italy. J. Sleep Res. 2020:e13074. doi: 10.1111/jsr.13074.
    1. Lin L.Y., Wang J., Ou-Yang X.Y., Miao Q., Chen R., Liang F.X., Zhang Y.P., Tang Q., Wang T. The immediate impact of the 2019 novel coronavirus (COVID-19) outbreak on subjective sleep status. Sleep Med. 2020 doi: 10.1016/j.sleep.2020.05.018.
    1. Salari N., Hosseinian-Far A., Jalali R., Vaisi-Raygani A., Rasoulpoor S., Mohammadi M., Rasoulpoor S., Khaledi-Paveh B. Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: A systematic review and meta-analysis. Glob. Health. 2020;16:57. doi: 10.1186/s12992-020-00589-w.
    1. Moynihan A.B., van Tilburg W.A., Igou E.R., Wisman A., Donnelly A.E., Mulcaire J.B. Eaten up by boredom: Consuming food to escape awareness of the bored self. Front. Psychol. 2015;6:369. doi: 10.3389/fpsyg.2015.00369.
    1. Chao A., Grilo C.M., White M.A., Sinha R. Food cravings mediate the relationship between chronic stress and body mass index. J. Health Psychol. 2015;20:721–729. doi: 10.1177/1359105315573448.
    1. Van Tilburg W.A.P., Igou E.R. On boredom: Lack of challenge and meaning as distinct boredom experiences. Motiv. Emot. 2012;36:181–194. doi: 10.1007/s11031-011-9234-9.
    1. Chao A.M., Jastreboff A.M., White M.A., Grilo C.M., Sinha R. Stress, cortisol, and other appetite-related hormones: Prospective prediction of 6-month changes in food cravings and weight. Obesity. 2017;25:713–720. doi: 10.1002/oby.21790.
    1. Scourboutakos M.J., L’Abbe M.R. Restaurant menus: Calories, caloric density, and serving size. Am. J. Prev. Med. 2012;43:249–255. doi: 10.1016/j.amepre.2012.05.018.
    1. Skues J.W.B., Oldmeadow J., Wise L. The effects of boredom, loneliness, and distress tolerance on problem internet use among university students. Int. J. Ment. Health Addict. Vol. 2016;14:167–180. doi: 10.1007/s11469-015-9568-8.
    1. Whiting A., Wiliams D. Why people use social media: A uses and gratifications approach. Qual. Market. Res. Int. J. 2013;16:362–369. doi: 10.1108/QMR-06-2013-0041.
    1. Dunton G.W.S., Do B., Coutney J. Early Effects of the COVID-19 Pandemic on Physical Activity in US Adults. Camb. Open Engag. 2020 doi: 10.33774/coe-2020-kx2rq.
    1. Thompson T., Rodebaugh T.L., Bessaha M.L., Sabbath E.L. The Association Between Social Isolation and Health: An Analysis of Parent-Adolescent Dyads from the Family Life, Activity, Sun, Health, and Eating Study. Clin. Soc. Work J. 2020;48:18–24. doi: 10.1007/s10615-019-00730-2.
    1. Rocha J., Paxman J., Dalton C., Winter E., Broom D.R. Effects of a 12-week aerobic exercise intervention on eating behaviour, food cravings, and 7-day energy intake and energy expenditure in inactive men. Appl. Physiol. Nutr. Metab. 2016;41:1129–1136. doi: 10.1139/apnm-2016-0189.
    1. Cecchetto C., Aiello M., Gentili C., Ionta S., Osimo S.A. Increased emotional eating during COVID-19 associated with lockdown, psychological and social distress. Appetite. 2021;160:105122. doi: 10.1016/j.appet.2021.105122.
    1. Fearnbach S.N., Flanagan E.W., Hochsmann C., Beyl R.A., Altazan A.D., Martin C.K., Redman L.M. Factors Protecting against a Decline in Physical Activity during the COVID-19 Pandemic. Med. Sci. Sports Exerc. 2021 doi: 10.1249/MSS.0000000000002602.

Source: PubMed

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