Association of sleep, screen time and physical activity with overweight and obesity in Mexico

Abstract

Purpose Approximately 70% of adults in Mexico are overweight or obese. Unhealthy lifestyle behaviors are also prevalent. We examined the association of three lifestyle behaviors with body mass index (BMI) categories in adults from Mexico. Methods We used publicly available data from the ENSANUT 2016 survey (n = 6419). BMI was used to categorize participants. Differences in sleep duration, suffering from symptoms of insomnia, TV watching time, time in front of any screen, vigorous physical activity (yes vs no), moderate physical activity (> 30 min/day-yes vs. no) and walking (> 60 min/day-yes vs. no) were compared across BMI groups using adjusted linear and logistic regression analyses. Results Thirty-nine percent of participants were overweight and 37% obese. Time in front of TV, in front of any screen, sleep duration and physical activity were significantly associated with overweight and obesity. Compared to normal weight participants, participants in the obese II category spend on average 0.60 h/day (95% CI 0.36-0.84, p = 0.001) and participants in the obese III category 0.54 h/day (95% CI 0.19-0.89, p < 0.001) more in front of any screen; participants in the obese II category reported 0.55 h/day less sleep (95% CI − 0.67 to − 0.43, p < 0.001); participants in the obese III category were less likely to engage in vigorous activity (OR = 0.60, 95% CI 0.43-0.84, p ≤ 0.003), or walking (OR = 0.65, 95% CI 0.49-0.88, p = 0.005). Conclusion Screen time, sleeping hours, and physical activity were associated with overweight and obesity. However, these associations were not consistent across all BMI categories. Assuming established causal connections, overweight individuals and individuals with obesity would benefit from reduced screen time and engaging in moderate/vigorous physical activity. Level of evidence Level III: observational case-control analytic study.

Assessment of Risk Factors for Development of Overweight and Obesity among Soldiers of Polish Armed Forces Participating in the National Health Programme 2016–2020

“…Too much time watching television is also a lifestyle component associated with obesity, due to lack of exercise and/or frequent snacking promoted by TV watching [ 43 ]. Our results are consistent with previous studies showing an association between overall time spent in front of a screen and obesity, demonstrating that reducing time spent in front of a screen can reduce the prevalence of overweight and obesity [ 44 ]. Thus, the reduction of screen time should be considered for weight management programs.…”

“…Too little sleep causes metabolic and endocrine changes, including decreased glucose tolerance, decreased insulin sensitivity, increased evening cortisol levels, increased ghrelin levels, decreased leptin levels and increased hunger and appetite [ 46 ]. Epidemiological studies have found a significant association between short sleep (typically < six hours per night) and increased risk of obesity [ 44 ]. A meta-analysis of 18 studies involving 604,509 adults found a pooled odds ratio (OR) for obesity of 1.55 (1.43–1.68) for less than five hours of sleep [ 25 ].…”

Associations of Objectively-Assessed Smartphone Use with Physical Activity, Sedentary Behavior, Mood, and Sleep Quality in Young Adults: A Cross-Sectional Study

“…There is a global concern suggesting that individuals are not engaging in sufficient amounts of physical activity, participating in high amounts of sedentary activity [1,2], and spending a great amount of time in front of screens (i.e., watching television or using the smartphone) [3]. This is problematic due to the deleterious health effects associated with low amounts of physical activity and high amounts of sedentary activity [4,5], including obesity [6], depression [7], poor sleep [8], and unsatisfactory psychosocial behaviors [7]. Recent studies suggest that screen-based sedentary behavior may have a greater impact on health than overall sedentary time [9].…”

A kutyatartás mint életmódot befolyásoló tényező vizsgálata

“…Részleteiben tekintve is kedvező az eredmény, hiszen a 95 kitöltő közül összesen 7 fő sorolható a túlsúlyos kategóriába. Az optimálisabban alakuló BMI-értékek nagy valószínűséggel a mutatott fizikai aktivitásnak is köszönhetők (Tittlbach et al, 2017;Kolovos et al, 2019).…”