scholarly journals Combined Effects of Unhealthy Lifestyle Behaviors on Metabolic Syndrome among Postmenopausal Women

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 848
Author(s):  
Jin-Suk Ra ◽  
Hyesun Kim
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Postmenopausal Women ◽  
Abdominal Obesity ◽  
Impaired Fasting Glucose ◽  
Fasting Glucose ◽  
Dietary Behavior ◽  
Lifestyle Behaviors ◽  
Unhealthy Lifestyle ◽  
Insufficient Physical Activity

This study aimed to identify the combined effects of unhealthy lifestyle behaviors, including diet, sedentary behavior, and physical activity on metabolic syndrome (MS) and components of MS among postmenopausal women. Secondary data analysis was conducted using the Korean National Health and Nutrition Examination Survey (2014–2018) with a cross-sectional study design. Logistic regression analysis was conducted with data from 6114 Korean postmenopausal women. While no significant effects of unhealthy lifestyle behaviors, either individually or as a combination, were found for MS, prolonged sedentary behavior without poor dietary behavior and insufficient physical activity was associated with increased likelihood of abdominal obesity (adjusted odds ratio [AOR]: 1.59, 95% confidence interval [CI]: 1.10–2.29) and impaired fasting glucose (AOR: 1.54, 95% CI: 1.13–2.10). The combination of poor dietary behavior and prolonged sedentary behaviors was also associated with increased likelihood of abdominal obesity (AOR: 1.48, 95% CI: 1.10–2.00) and impaired fasting glucose (AOR: 1.49, 95% CI: 1.14–1.96). In addition, prolonged sedentary behavior and insufficient physical activity together were associated with increased likelihood of abdominal obesity (AOR: 2.81, 95% CI: 1.90–4.20) and impaired fasting glucose (AOR: 1.59, 95% CI: 1.13–2.24). Finally, combining poor dietary behavior, prolonged sedentary behavior, and insufficient physical activity was also associated with increased likelihood of abdominal obesity (AOR: 2.05, 95% CI: 1.50–2.80) and impaired fasting glucose (AOR: 1.71, 95% CI: 1.32–2.23). Strategies for replacing sedentary behavior of postmenopausal women with activities are warranted for prevention of abdominal obesity and impaired fasting glucose.

scholarly journals Indirect Health Effects of COVID-19: Unhealthy Lifestyle Behaviors during the Lockdown in the United Arab Emirates

2021 ◽  
Vol 18 (4) ◽  
pp. 1964
Author(s):  
Hadia Radwan ◽  
Mahra Al Kitbi ◽  
Hayder Hasan ◽  
Marwa Al Hilali ◽  
Nada Abbas ◽  
...  
Keyword(s):  
Physical Activity ◽  
United Arab Emirates ◽  
Lifestyle Change ◽  
Change Score ◽  
Lifestyle Changes ◽  
Lifestyle Behaviors ◽  
Negative Consequences ◽  
Unhealthy Lifestyle ◽  
Cross Sectional ◽  
Study Results

Background: Lockdown measures were implemented in many countries to limit the spread of the COVID-19 pandemic. However, such restrictions could precipitate unintended negative consequences on lifestyle behaviors. The main objective of this study was to investigate the prevalence and determinants of unhealthy behavior changes during the COVID-19 lockdown among residents of the United Arab Emirates (UAE). Methods: A cross-sectional web-based survey of adults residing in the UAE was carried out during lockdown (n = 2060). Using a multi-component questionnaire, the collected data included questions regarding the following lifestyle changes: Increased dietary intake, increased weight, decreased physical activity, decreased sleep, and increased smoking. An unhealthy lifestyle change score was calculated based on the number of unhealthy lifestyle changes each participant reported. In addition, sociodemographic and living conditions information was collected. Descriptive statistics as well as simple and multiple linear regression analyses were used to examine the prevalence and determinants of the unhealthy lifestyle changes considered in this study. Results: Among the unhealthy lifestyle changes examined, increased food intake was the most common (31.8%), followed by decreased physical activity (30%), increased weight (29.4%), decreased sleep (20.8%), and increased smoking (21%). In addition to identifying the correlates of each of the aforementioned lifestyle changes, the results of the multiple regression linear analyses revealed the following correlates for the overall unhealthy lifestyle change score: females (β = 0.32, CI: 0.22; 0.42), living in an apartment (β = 0.12, CI: 0.003; 0.23) and being overweight/obese (β = 0.24, CI: 0.15; 0.32) had higher scores, while older adults (>40 years) had lower scores (β = −0.23, CI: −0.34; −0.12). Conclusions: The COVID-19 lockdown has resulted in a high prevalence of unhealthy lifestyle behaviors and practices among UAE residents. The findings of this study provided the evidence base for officials to design interventions targeting high-risk groups and aiming to improve healthy lifestyle factors among residents during the pandemic.

scholarly journals Physical Activity, Measures of Obesity, and Cardiometabolic Risk: The Multi-Ethnic Study of Atherosclerosis (MESA)

2014 ◽  
Vol 11 (4) ◽  
pp. 831-837 ◽  
Author(s):  
Paul A. McAuley ◽  
Haiying Chen ◽  
Duck-chul Lee ◽  
Enrique Garcia Artero ◽  
David A. Bluemke ◽  
...  
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Waist Circumference ◽  
Impaired Fasting Glucose ◽  
Central Obesity ◽  
Cardiometabolic Risk ◽  
Fasting Glucose ◽  
Reference Group ◽  
Model Assessment ◽  
Ethnic Study

Background:The influence of higher physical activity on the relationship between adiposity and cardiometabolic risk is not completely understood.Methods:Between 2000–2002, data were collected on 6795 Multi-Ethnic Study of Atherosclerosis (MESA) participants. Self-reported intentional physical activity in the lowest quartile (0–105 MET-minutes/week) was categorized as inactive and the upper three quartiles (123–37,260 MET-minutes/week) as active. Associations of body mass index (BMI) and waist circumference categories, stratified by physical activity status (inactive or active) with cardiometabolic risk factors (dyslipidemia, hypertension, upper quartile of homeostasis model assessment of insulin resistance [HOMA-IR] for population, and impaired fasting glucose or diabetes) were assessed using logistic regression analysis adjusting for age, gender, race/ethnicity, and current smoking.Results:Among obese participants, those who were physically active had reduced odds of insulin resistance (47% lower; P < .001) and impaired fasting glucose/diabetes (23% lower; P = .04). These associations were weaker for central obesity. However, among participants with a normal waist circumference, those who were inactive were 63% more likely to have insulin resistance (OR [95% CI] 1.63 [1.24–2.15]) compared with the active reference group.Conclusions:Physical activity was inversely related to the cardiometabolic risk associated with obesity and central obesity.

Social movement involvement and healthy diet and activity behaviors among US adults

2018 ◽  
Vol 34 (3) ◽  
pp. 490-500 ◽  
Author(s):  
Elizabeth A Emley ◽  
Dara R Musher-Eizenman
Keyword(s):  
Physical Activity ◽  
Health Behaviors ◽  
Social Movement ◽  
Online Survey ◽  
Vegetable Consumption ◽  
Lifestyle Behaviors ◽  
Unhealthy Lifestyle ◽  
Two Samples ◽  
College Population ◽  
Intrinsic Motivators

Summary Unhealthy lifestyle behaviors, namely poor diet and inadequate physical activity, significantly contribute to poor health and obesity risk, which in turn impact chronic illness outcomes. A possible approach to improving these health behaviors and subsequent outcomes is to capitalize on the theorized link between social movement involvement and overlapping health behaviors. Social movement involvement may be a viable stealth intervention for health, utilizing intrinsic motivators to improve health without an explicit focus on changing health behavior. Thus, the current study explored the links between social movement involvement and diet and physical activity. Two samples from a college population (N = 196) and the general population (N = 195) participated in an online survey, which included measures of social movement involvement, social movement-related health behaviors and dietary intake and physical activity. After controlling for known covariates, social movement-related health behaviors mediated the relationship between level of social movement involvement and fruit and vegetable consumption, whole grain intake and average daily physical activity in both samples. These findings suggest that health behaviors associated with social movement involvement may be an important mechanism in promoting health among social movement members and that the model holds across adult populations. This research adds to existing literature on stealth interventions as a viable means of improving important behavioral health components linked with obesity and chronic disease and supports social movement involvement as a potential form of stealth intervention.

Assessment of Dietary, Physical Activity and Sedentary Behaviours of Singapore Schooling Youths

2020 ◽  
Vol 8 (3) ◽  
pp. 715-726
Author(s):  
Claudine Loong ◽  
Mia Eng Tay ◽  
Wai Mun Loke
Keyword(s):  
Physical Activity ◽  
Health Promotion ◽  
Alcohol Use ◽  
Sedentary Behavior ◽  
Healthy Eating ◽  
Saturated Fat ◽  
Dietary Intakes ◽  
Sedentary Behaviors ◽  
Unhealthy Lifestyle ◽  
Daily Energy

Unhealthy lifestyle behaviors may set youths on the path to developing non-communicable diseases. Singapore schooling youths (n = 235, 67.2% female, age 17.5 (mean) ± 1.0 (SD) years) were recruited to examine the dietary, alcohol use, physical activity, and sedentary behaviors of the Singapore schooling youths. Demographic, anthropometric, and sedentary hours information were collected using structured questionnaires. Physical activity levels and dietary intakes, including alcohol use, were assessed using the validated International Physical Activity Questionnaire - long-form and localized food frequency questionnaire, respectively. The surveyed youths consumed significantly larger daily amounts of energy, sugar, saturated fat, and sodium than the levels recommended by the Singapore Health Promotion Board. They did not achieve the daily amounts of dietary fiber, fruits, and vegetables, and derived unhealthy proportions of daily energy from sugar and saturated fat. They did not exceed the recommended maximum daily alcohol allowance. Close to all the youths (91.2%) failed to adhere to more than five of the nine recommended healthy eating habits. Majority of these youths (73.4%) partook less than 600 MET-minute/ week. A significant number of the youths (38.1%) spent more than eight sedentary hours daily. Physical activity correlated significantly with sedentary behavior levels, but not the dietary scores. Most surveyed youths engaged in low physical activity and high sedentary behavior, and did not comply with most of the healthy eating guidelines proposed by the Singapore Health Promotion Board, specifically on daily energy, sugar, dietary fibers, saturated fat, sodium, and fruit and vegetable intakes.

scholarly journals Are the factors associated with overweight/general obesity and abdominal obesity different depending on menopausal status?

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245150
Author(s):  
Jyu-Lin Chen ◽  
Jia Guo ◽  
Ping Mao ◽  
Jundi Yang ◽  
Shan Jiang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Postmenopausal Women ◽  
Psychosocial Factors ◽  
Abdominal Obesity ◽  
Rural Women ◽  
Menopausal Status ◽  
Well Being ◽  
General Obesity ◽  
Factors Associated ◽  
The Impact

Rapid modernization in China has impacted the daily lives and health of women, including a rise in obesity. However, little is known about the impact of menopausal status, behavior, and psychosocial factors on the risk of obesity for rural women in China. The aim of this study is to identify risk factors, including demographic information (education, family history of T2DM, menopausal status), obesity-related behavior, and psychosocial factors associated with overweight/general obesity and abdominal obesity. In a cross-sectional study design, participants had their weight, height, and waist circumference measured and completed questionnaires regarding family demographics, obesity-related health behaviors (physical activity, diet, sleep), and psychosocial information (stress, social support, and self-efficacy related to physical activity and healthy diet). A total of 646 women were included in this study; 46.6% were overweight/generally obese, and 48% had abdominal obesity. Postmenopausal women had a higher prevalence of general and central obesity. Regular physical activity decreased the risk for overweight/general obesity and abdominal obesity (OR = .41 and .31, respectively, p = .04) in premenopausal women. Postmenopausal women who had not breastfed their infants and reported moderate/high-stress had a higher risk for overweight/general obesity (OR = 3.93, and 2, respectively) and those who reported less than 6 hours of sleep per day increased their risk for abdominal obesity (OR = 2.08). Different factors associated with obesity were found in Chinese women, depending on menopausal status. Future studies should examine the impact of menopause on a woman’s risk for obesity, as well as develop tailored interventions to improve health, well-being and reduce the risk of obesity.

scholarly journals The correlation between lifestyle and lipid profile

2006 ◽  
Vol 59 (1-2) ◽  
pp. 57-62
Author(s):  
Bosa Mirjanic-Azaric ◽  
Mirjana Djeric ◽  
Maja Vrhovac ◽  
Dusanka Sukalo
Keyword(s):  
Physical Activity ◽  
Alcohol Consumption ◽  
Lipid Profile ◽  
Total Cholesterol ◽  
Hdl Cholesterol ◽  
Unhealthy Lifestyle ◽  
Lifestyle Habits ◽  
Cholesterol Ratio ◽  
Insufficient Physical Activity ◽  
The Mean

Introduction. The aim of this study was to estimate if negative lifestyle habits such as alcohol consumption, smoking and physical inactivity affect the lipid profile values. Material and methods. The study included 250 workers on regular examination in the Gradiska Health Center in the period from 2001 to 2002. There were 113 (45.2%) men and 137 (54.8%) women. The examinees were divided into three groups according age (25-39, 40-49 and 50-60 respectively). Standard laboratory methods were used to establish the following: total cholesterol, triglyceride and HDL-cholesterol level, LDL cholesterol, atherosclerosis index (AI) and total cholesterol/HDL cholesterol. Results Using a questionnaire, we have found out that out of 250 examinees 48.80% consume alcohol regularly, 50.80% are smokers and 36% are physically. The mean total cholesterol was high in all groups and it was 6.41 mmol/l. The mean triglyceride level was 1.88 mmol/l and mean HDL cholesterol was 1.48 mmol/l, I A was 2.99 and total cholesterol/HDL cholesterol ratio was 4.69. Statistical analysis showed that there was a statistically significant relationship between triglyceride values and alcohol consumption, smoking and physical activity (p<0.05). Also, we showed that there was a statistically high relationship between HDL cholesterol values, AJ, total cholesterol/HDL cholesterol and smoking in the examined groups (p<0.01). Discussion In our study the lipid profile parameters were above the desired levels, probably due to unhealthy lifestyle, including smoking, alcohol consumption and insufficient physical activity. Our results are in concordance with the results of similar studies. Conclusion It is of utmost importance to take steps to improve lifestyle habits of our population.

scholarly journals Lifestyle behaviors trend and their relationship with fear level of COVID-19: Cross-sectional study in Saudi Arabia

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0257904
Author(s):  
Shaima A. Alothman ◽  
Abdullah F. Alghannam ◽  
Alaa A. Almasud ◽  
Arwa S. Altalhi ◽  
Hazzaa M. Al-Hazzaa
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Saudi Arabia ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Online Survey ◽  
Dietary Habits ◽  
Poor Sleep ◽  
Lifestyle Behaviors ◽  
Distress Scale

Introduction COVID-19 pandemic cautionary measures have affected the daily life of people around the globe. Further, understanding the complete lifestyle behaviors profile can help healthcare providers in designing effective interventions and assessing overall health impact on risk of disease development. Thus, this study aims to assess the complete spectrum of lifestyle behaviors (physical activity, sedentary behavior, sleep, distress, social support, dietary habits, and smoking) prevalence and its association with fear of COVID-19 in people living in Saudi Arabia. Methods Self-administered survey consisted of seven sections was used to collect data on fear of COVID-19 using Fear of COVID-19 Scale (FCV-19S), physical activity and sedentary behavior using the Global Physical Activity Questionnaire (GPAQ), sleep quality using the Pittsburgh Sleep Quality Index (PSQI), psychosocial distress using Kessler Psychological Distress Scale (K-10), social support using the MOS social support survey, and dietary habits using a short version of food frequency questionnaire (FFQ). The online survey was distributed via social media platforms during lockdown period of COVID-19 pandemic (May–June 2020). Each section consisted of validated questionnaire examining one of aforementioned lifestyle behaviors. Associations were analyzed using multiple linear regression. Results A total of 669 individuals attempted to complete the online survey, 554 participants completed at least 2 sections of the survey (82.8%), and 41.3% (n = 276) completed the whole online survey. The majority of the sample were female (83%), not smokers (86.5%), had sufficient sleep duration (7.5 hrs ± 2.1), and only indicated mild level of distress (21.4 ± 8.9); they also reported high level of sedentary behavior (7.7 hrs ± 4.5), poor sleep quality (5.4 ± 2.4), were not engaged in healthy eating habits, and moderate level of perceived social support (62.0% ± 27). Only physical activity results indicated that about half of the sample were engaged in moderate to vigorous level of physical activity (54.3%). Further, being female (β = 0.12; 95% CI: 0.45, 2.94) and married (β = 0.13; 95% CI: 0.3, 2.63) were associated with fear of COVID-19 level (β = 0.21; 95% IC: 0.05, 0.19) with a confidence interval level of 95%. In addition, distress was associated with fear. Conclusion The trend of lifestyle behaviors measured during lockdown period changed from previously published rates. Future research needs to establish the short-term and long-term effect of lifestyle behaviors complete profile on physical and mental health.

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