Abstract:Objective: Amidst restrictions to reduce the spread of COVID-19, jokes have surfaced regarding weight gain during the pandemic. The current study documents perceived changes since COVID-19 and compares these to observed longitudinal changes in reported weight, BMI, and how college students described their weight from January to April 2020. Method: Undergraduates (N = 90; 88% female) completed on-line assessments before and after students were required to leave campus due to COVID-19. Time 1 and Time 2 surveys … Show more
“…A summary of the impact of COVID-19 on the overall change in perceived weight status, dietary behaviors, physical activity behaviors, sedentary behaviors and other lifestyle behaviors are shown in Table 2. Eleven out of 19 articles mentioned changes in weight where ten articles mentioned weight gain that ranged from 12.8% to 48.6% and six articles mentioned weight loss that ranged from 13.9-19.4% (Table 3) [2][3][4][5]18,19,21,25,26,28,29]. Two articles reported the combined proportion of participants who lost weight and did not perceive a change in weight [3,25].…”
Section: Resultsmentioning
confidence: 99%
“…While one study reported that an increased BMI predicted an increase in appetite (OR = 1.07), junk food consumption (OR = 1.03) and lower adherence to a Mediterranean diet [2], another study reported that being overweight (OR = 1.31) or obese (OR: 1.64) were significant predictors of adherence to a healthy diet [22]. Adherence to an unhealthy diet was predicted by a decrease in physical activity (OR = 2.62), living in macroeconomic regions (OR = 1.43-1.47), increased screen time (OR = 1.54) and decreased consumption of homemade food (OR = 3.06) [5,22]. • Age (>50 y OR = 0.9) (21 to 50 years old lower adherence than >50 y)…”
Objective: To provide an overview of what is known about the impact of COVID-19 on weight and weight-related behaviors. Methods: Systematic scoping review using the Arksey and O’Malley methodology. Results: A total of 19 out of 396 articles were included. All studies were conducted using online self-report surveys. The average age of respondents ranged from 19 to 47 years old, comprised of more females. Almost one-half and one-fifth of the respondents gained and lost weight during the COVID-19 pandemic, respectively. Among articles that examined weight, diet and physical activity changes concurrently, weight gain was reported alongside a 36.3% to 59.6% increase in total food consumption and a 67.4% to 61.4% decrease in physical activities. Weight gain predictors included female sex, middle-age, increased appetite, snacking after dinner, less physical exercise, sedentary behaviors of ≥6 h/day, low water consumption and less sleep at night. Included articles did not illustrate significant associations between alcohol consumption, screen time, education, place of living and employment status, although sedentary behaviors, including screen time, did increase significantly. Conclusions: Examining behavioral differences alone is insufficient in predicting weight status. Future research could examine differences in personality and coping mechanisms to design more personalized and effective weight management interventions.
“…A summary of the impact of COVID-19 on the overall change in perceived weight status, dietary behaviors, physical activity behaviors, sedentary behaviors and other lifestyle behaviors are shown in Table 2. Eleven out of 19 articles mentioned changes in weight where ten articles mentioned weight gain that ranged from 12.8% to 48.6% and six articles mentioned weight loss that ranged from 13.9-19.4% (Table 3) [2][3][4][5]18,19,21,25,26,28,29]. Two articles reported the combined proportion of participants who lost weight and did not perceive a change in weight [3,25].…”
Section: Resultsmentioning
confidence: 99%
“…While one study reported that an increased BMI predicted an increase in appetite (OR = 1.07), junk food consumption (OR = 1.03) and lower adherence to a Mediterranean diet [2], another study reported that being overweight (OR = 1.31) or obese (OR: 1.64) were significant predictors of adherence to a healthy diet [22]. Adherence to an unhealthy diet was predicted by a decrease in physical activity (OR = 2.62), living in macroeconomic regions (OR = 1.43-1.47), increased screen time (OR = 1.54) and decreased consumption of homemade food (OR = 3.06) [5,22]. • Age (>50 y OR = 0.9) (21 to 50 years old lower adherence than >50 y)…”
Objective: To provide an overview of what is known about the impact of COVID-19 on weight and weight-related behaviors. Methods: Systematic scoping review using the Arksey and O’Malley methodology. Results: A total of 19 out of 396 articles were included. All studies were conducted using online self-report surveys. The average age of respondents ranged from 19 to 47 years old, comprised of more females. Almost one-half and one-fifth of the respondents gained and lost weight during the COVID-19 pandemic, respectively. Among articles that examined weight, diet and physical activity changes concurrently, weight gain was reported alongside a 36.3% to 59.6% increase in total food consumption and a 67.4% to 61.4% decrease in physical activities. Weight gain predictors included female sex, middle-age, increased appetite, snacking after dinner, less physical exercise, sedentary behaviors of ≥6 h/day, low water consumption and less sleep at night. Included articles did not illustrate significant associations between alcohol consumption, screen time, education, place of living and employment status, although sedentary behaviors, including screen time, did increase significantly. Conclusions: Examining behavioral differences alone is insufficient in predicting weight status. Future research could examine differences in personality and coping mechanisms to design more personalized and effective weight management interventions.
“…We excluded 10 studies based on a quality assessment of the results, and 27 studies were excluded based on reasons presented in the PRISMA flow diagram (Figure 1). The range of observations covered dietary choices (14,(21)(22)(23)(24)(25)(26)(33)(34)(35)(36)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47) , lifestyle changes in children (24,36,(48)(49)(50)(51) , physical activity levels (33)(34)(35)37,38,(38)(39)(40)(41)43,46,47,49,52,53,(53)(54)(55)(56)(57)(58)(59)(60) , psychosocial factors (22,23,<...>…”
Section: Categorization Of Determinantsmentioning
confidence: 99%
“…In contrast, secondary school students felt refreshed on awakening and increased sleeping hours (51) . Weight gain was reported by others to be related to decreased night time sleep and reduced physical activity time (26,41,60) Sedentary lifestyle and screen time increased during the lockdown (24,26,38,47,(55)(56)(57) . Those participants who were not currently working or those who started working from home felt that they gained more weight compared with participants who did not have a change in job routine (21,21,52,58) .…”
Section: Impact Of Confinement On Body Weightmentioning
Pandemics and subsequent lifestyle restrictions such as lockdowns may have unintended consequences including alterations in body weight. Understanding the impact and the mechanisms affecting body weight is paramount for planning effective public health measures for both now and future lockdown-type situations. This systematic review assesses and the impact of pandemic confinement on body weight and to identifies contributory factors.
A comprehensive literature search was performed in seven electronic databases and in gray sources from their inception until 1st July 2020 with an update in PubMed and Scopus on 1st February 2021. In total, 2,361 unique records were retrieved, of which 41 studies were identified eligible: 1 case-control study, 14 cohort and 26 cross-sectional studies (469362 total participants).
Weight gain occurred predominantly in participants who were already overweight or obese. Associated factors included increased consumption of unhealthy food with decreased intake of healthy fresh fruits and vegetables, changes in physical activity, and altered sleep patterns. Weight loss during the pandemic was observed in individuals with previous low weight, and those who ate less and were more physically active before lock down. Associated factors included increased intake of fruits and vegetables, drinking more water and consuming no alcohol. Maintaining a stable weight was more difficult in populations with reduced income particularly in individuals with lower educational attainment. The findings of this systematic review highlight the short-term effects of pandemic confinements. Learning from the lockdown experience is fundamental if we are to prepare for the next wave; a holistic, reactive, tailored response is needed involving multiple providers.
“…Meta-analyses have confirmed that students experience significant weight gain during this time related to stress, increased alcohol consumption, unhealthy eating patterns and a more sedentary lifestyle (33) . Emerging data, including results from a single study of US college students, demonstrate increases in screen time and energetic intake and decreases in physical activity that could lead to energy imbalance during the pandemic (34) . As Sebastiano et al note, HBI initiatives in post-secondary educational institutions have the ability to alter beverage intake patterns and health during a critical time when young adults have increased autonomy over their dietary choices (6) .…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.