scholarly journals The Association of Healthy Lifestyle Behaviors with Overweight and Obesity among Older Adults from 21 Countries

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 315
Author(s):  
Priscila Marconcin ◽  
Andreas Ihle ◽  
André O. Werneck ◽  
Elvio R. Gouveia ◽  
Gerson Ferrari ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Fruits And Vegetables ◽  
Healthy Lifestyle ◽  
Vegetable Consumption ◽  
European Social Survey ◽  
Overweight And Obesity ◽  
Lifestyle Behaviors ◽  
Protective Behavior ◽  
Healthy Lifestyle Behaviors

This study aimed to analyze the association of healthy lifestyle behaviors with overweight and obesity among Europeans aged 65+ years. Data were from the 2014 European Social Survey, analyzing 21 countries. Five lifestyle behaviors (physical activity, fruit and vegetable consumption, sleep quality, drinking alcohol, and smoking) were analyzed. Binary logistic regressions were performed. A total of 8938 participants (4099 men) 65 years and older, mean age—73.6 (SD: 6.6) presented prevalence of overweight of 42.3% (95% CI: 41.3 to 43.3) and obesity of 20.9% (95% CI: 20.1 to 21.8). Adopting five healthy behaviors was associated with lower odds of obesity (OR = 0.50, 95% CI: 0.39 to 0.63), but not overweight (OR: 0.93; 95% CI: 0.79 to 1.10). Physical activity (≥5 days/week) was the most protective behavior, reducing by 42% the odds of obesity. Sex moderated the association of fruits and vegetables consumption, alcohol use, and smoking with obesity. Strategies aiming to reduce obesity levels in older adults should focus on the promotion of multiple lifestyle health behaviors, particularly physical activity in order to decrease vulnerability risk in old age.

scholarly journals Workplace Healthy Lifestyle Determinants and Wellbeing Needs across the Preconception and Pregnancy Periods: A Qualitative Study Informed by the COM-B Model

2021 ◽  
Vol 18 (8) ◽  
pp. 4154
Author(s):  
Seonad K. Madden ◽  
Claire A. Blewitt ◽  
Kiran D. K. Ahuja ◽  
Helen Skouteris ◽  
Cate M. Bailey ◽  
...  
Keyword(s):  
Healthy Lifestyle ◽  
Intervention Development ◽  
Health Behavior Change ◽  
Overweight And Obesity ◽  
Specific Reference ◽  
Lifestyle Behaviors ◽  
Policy Makers ◽  
Health And Wellbeing ◽  
Healthy Lifestyle Behaviors ◽  
And Control

Overweight and obesity present health risks for mothers and their children. Reaching women during the key life stages of preconception and pregnancy in community settings, such as workplaces, is an ideal opportunity to enable health behavior change. We conducted five focus groups with 25 women aged between 25 and 62 years in order to investigate the determinants of healthy lifestyle behaviors, weight management, and wellbeing needs during the preconception and pregnancy periods in an Australian university workplace. Discussions explored women’s health and wellbeing needs with specific reference to workplace impact. An abductive analytical approach incorporated the capability, opportunity, and motivation of behavior (COM-B) model, and four themes were identified: hierarchy of needs and values, social interactions, a support scaffold, and control. Findings highlight the requirement for greater organization-level support, including top-down coordination of wellbeing opportunities and facilitation of education and support for preconception healthy lifestyle behaviors in the workplace. Interventionists and organizational policy makers could incorporate these higher-level changes into workplace processes and intervention development, which may increase intervention capacity for success.

scholarly journals Individual-Level Determinants of Lifestyle Behavioral Changes during COVID-19 Lockdown in the United States: Results of an Online Survey

2021 ◽  
Vol 18 (8) ◽  
pp. 4364
Author(s):  
Xiaotao Zhang ◽  
Abiodun Oluyomi ◽  
LeChauncy Woodard ◽  
Syed Ahsan Raza ◽  
Maral Adel Fahmideh ◽  
...  
Keyword(s):  
Physical Activity ◽  
Alcohol Use ◽  
Online Survey ◽  
Healthy Lifestyle ◽  
The United States ◽  
Lifestyle Changes ◽  
Lifestyle Behaviors ◽  
Individual Level ◽  
Diet And Physical Activity ◽  
Healthy Lifestyle Behaviors

This study examined individual-level determinants of self-reported changes in healthy (diet and physical activity) and addictive (alcohol use, smoking, and vaping) lifestyle behaviors during the initial COVID-19 lockdown period in the USA. A national online survey was administered between May and June 2020 that targeted a representative U.S. sample and yielded data from 1276 respondents, including 58% male and 50% racial/ethnic minorities. We used univariate and multivariable linear regression models to examine the associations of sociodemographic, mental health, and behavioral determinants with self-reported changes in lifestyle behaviors. Some study participants reported increases in healthy lifestyle behaviors since the pandemic (i.e., 36% increased healthy eating behaviors, and 33% increased physical activity). However, they also reported increases in addictive lifestyle behaviors including alcohol use (40%), tobacco use (41%), and vaping (46%). With regard to individual-level determinants, individuals who reported adhering to social distancing guidelines were also more likely to report increases in healthy lifestyle behaviors (β = 0.12, 95% CI 0.04 to 0.21). Conversely, women (β = −0.37, 95% CI −0.62 to −0.12), and unemployed individuals (β = −0.33, 95% CI −0.64 to −0.02) were less likely to report increases in healthy lifestyle behaviors. In addition, individuals reporting anxiety were more likely to report increases in addictive behaviors (β = 0.26, 95% CI 0.09 to 0.43). Taken together, these findings suggest that women and unemployed individuals may benefit from interventions targeting diet and physical activity, and that individuals reporting anxiety may benefit from interventions targeting smoking and alcohol cessation to address lifestyle changes during the pandemic.

scholarly journals Healthy-lifestyle behaviors associated with overweight and obesity in US rural children

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Alison Tovar ◽  
Kenneth Chui ◽  
Raymond R Hyatt ◽  
Julia Kuder ◽  
Vivica I Kraak ◽  
...  
Keyword(s):  
Healthy Lifestyle ◽  
Overweight And Obesity ◽  
Rural Children ◽  
Lifestyle Behaviors ◽  
Healthy Lifestyle Behaviors

RISIKO PENYEBAB TERJADINYA HIPERTENSI DI DESA BUNGA PUTIH KECAMATAN MARANGKAYU KABUPATEN KUTAI KARTANEGARA

2018 ◽  
Vol 3 (1) ◽  
pp. 19
Author(s):  
Muhammad Rizky Permana
Keyword(s):  
Physical Activity ◽  
Fruits And Vegetables ◽  
Healthy Lifestyle ◽  
Vegetable Consumption ◽  
White Flower ◽  
Rank Test ◽  
Factors Associated ◽  
Independent Variables ◽  
The Village ◽  
Reducing Stress

Results Health Research shows Kalimantan Timur Indonesia was ranked third in Indonesia in the amount of the highest prevalence of hypertension of 29.9%.Data from the health center in 2013 Marangkayu hypertension increased by 21% to 35% in 2015.This study aims to determine the cause of the risk of hypertension in the village of White Flower Marangkayu District of Kutai regency in 2016. The study design used is case control study.The sample in this study were 80 people.The dependent variable studied is hypertension, independent variables studied were Sodium, Fat, Fruit and Vegetable Consumption, Water, Physical Activity, Smoking and Stress with data analysis and the Spearman rank test OR. Concluded associated with hypertension are sodium (p = 0.039 and OR = 2.636), physical activity (p = 0.034 and OR = 2.816), smoking (p = 0.025 and OR = 2.810), and stress (p = 0.045 and OR = 2,500 ).And unrelated is fat (p = 0.816 and OR = 1.118), fruits and vegetables (p = 0.346 and OR = 0.632), and water (p = 0.505 and OR = 0.630). Based on these results concluded that sodium, physical activity, smoking and stress are risk factors associated with hypertension.While the consumption of fats, fruits and vegetables, and water is not a factor associated with hypertension.Suggested to White Flower villagers to change their healthy lifestyle like berolahrga, reduce the consumption of salty foods and cholesterol, not smoking, and reducing stress.

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