scholarly journals The First Step of Health Policy-Making for Lifestyle Modifications at Middle Age: Problem Identification in 40- to 60-Year-Old Population, Northern Iran

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Simin Mouodi ◽  
Seyed Reza Hosseini ◽  
Reza Ghadimi ◽  
Ali Bijani ◽  
Robert Graham Cumming ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Current Situation ◽  
Local Health ◽  
Lifestyle Behaviors ◽  
Lifestyle Modifications ◽  
Unhealthy Lifestyle ◽  
Northern Iran ◽  
Health Lifestyle ◽  
Study Results

Background. The purpose of this study was to determine the current situation of lifestyle behaviors and related outcomes, as the first step to make proper local health policies for improvement of health lifestyle behaviors.Materials and Methods. This analytic research has been conducted as a cross-sectional study on the middle-aged (40–60 years old) population of Amirkola, Northern Iran. The Persian translation of the Health-Promoting Lifestyle Profile II questionnaire and the International Physical Activity Questionnaire were used for data collection. Also, anthropometric variables, blood pressure, fasting blood sugar, and serum lipids profile were examined.Results. Three hundred one individuals have been enrolled in the study. Results showed that 10.6% of the participants had unhealthy lifestyle behaviors in the subdomain of spiritual growth; 46.8% in the subdomain of health responsibility; and 48.2% in the subdomains of stress management, physical activity, and nutrition; men had more physical activity than women (p<0.001). Totally, 189 persons (63.9%) had serum cholesterol greater than or equal to 200 mg/dL; seventy-five individuals (25%) had high blood pressure. One hundred twenty-six persons (81.8%) of women and 103 (70.1%) of men were overweight or obese.Conclusions. Health lifestyle behaviors in 40- to 60-year-old population need a proper intervention to improve the current situation.

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 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.

Abstract P112: Changes in Lifestyle Behavior to Reduce Uncontrolled Blood Pressure in the Faith Trial

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Kristie J Lancaster ◽  
Antoinette M Schoenthaler ◽  
William Chaplin ◽  
Gbenga Ogedegbe
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Medication Adherence ◽  
Lifestyle Modification ◽  
Intervention Group ◽  
Black Americans ◽  
Control Group ◽  
Lifestyle Behaviors ◽  
Uncontrolled Blood Pressure ◽  
Faith Based

Introduction: Modifying lifestyle behaviors is a key method for controlling hypertension. This strategy is extremely important for hypertensive Black Americans, as they are more likely to have uncontrolled blood pressure (BP), have a higher risk of complications, and poorer outcomes. To address this need, we conducted a cluster-randomized controlled trial to reduce BP through lifestyle modification that was delivered by lay health advisors in Black churches. The Faith-based Approaches in the Treatment of Hypertension (FAITH) trial was designed to evaluate the effectiveness of a 12-week faith-based lifestyle intervention and subsequent 3-month motivational interviewing vs. health education control on BP reduction among hypertensive Black adults. This study examines the change in lifestyle behaviors during the trial from baseline to 6 months. Methods: We recruited 373 Black Americans with uncontrolled hypertension from 32 urban churches. BP was considered to be uncontrolled if systolic BP (SBP)≥140 mmHg or diastolic BP (DBP)≥90 mmHg, or DBP≥130 mmHg or DBP≥80 mmHg for participants with self-reported diabetes or kidney disease The primary outcome was within-participant change in BP from baseline to 6 months. Lifestyle data collected included the NCI fruit/vegetable intake screener and % calories from fat screener, the International Physical Activity Questionnaire (IPAQ), medication adherence, and measured height and weight. Results: Participants’ mean age was 63.4 y, 76.4% were female, and 96.1% reported being of African descent. The mean BMI was 32.1 kg/m2. At 6 months, the intervention was associated with significant reduction in SBP but not DBP compared with the control group (-16.0 mmHg vs -10.3 mmHg, p=0.017). There was no significant change in number of servings of fruits and vegetables consumed, minutes walked per day, or weight for either group. However, the intervention group had a slight but significantly greater decrease of 1.08 % calories from fat over time compared with the control (p=0.018), but that change was not related to change in SBP. Most notably, there was a significant months x treatment interaction on medication adherence the intervention group had a greater decrease in non-adherence score than the control (-0.84 vs -0.30, p=0.28). This improvement in adherence was related to decrease in SBP (p=0.019). Conclusion: Community-based lifestyle modification program led to significantly reduced systolic BP; and this intervention effect was mediated by improved medication adherence. However, the 12-week intervention resulted in little change in key diet and physical activity behaviors found in other trials to positively affect BP.

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.

scholarly journals Walk Score® and Its Associations with Older Adults’ Health Behaviors and Outcomes

2019 ◽  
Vol 16 (4) ◽  
pp. 622 ◽  
Author(s):  
Yung Liao ◽  
Chien-Yu Lin ◽  
Ting-Fu Lai ◽  
Yen-Ju Chen ◽  
Bohyeon Kim ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Health Behaviors ◽  
Health Outcomes ◽  
Sedentary Time ◽  
Smoking Status ◽  
Lifestyle Behaviors ◽  
Tv Viewing ◽  
Health Lifestyle ◽  
Walk Score

This study aimed to investigate the associations between Walk Score® and lifestyle behaviors and health outcomes in older Taiwanese adults. A nationwide survey was conducted through telephone-based interviews with older adults (65 years and older) in Taiwan. Data on Walk Score®, lifestyle behaviors (physical activity, sedentary behavior, healthy eating behavior, alcohol use, and smoking status), health outcomes (overweight/obesity, hypertension, type 2 diabetes, and cardiovascular disease), and personal characteristics were obtained from 1052 respondents. A binary logistic regression adjusting for potential confounders was employed. None of the Walk Score® categories were related to the recommended levels of total physical activity. The categories “very walkable” and “walker’s paradise” were positively related to total sedentary time and TV viewing among older adults. No significant associations were found between Walk Score® and other lifestyle health behaviors or health outcomes. While Walk Score® was not associated with recommended levels of physical activity, it was positively related to prolonged sedentary time in the context of a non-Western country. The different associations between the walk score and health lifestyle behaviors and health outcomes in different contexts should be noted.

scholarly journals Modelling of Risk Factors of Diabetes in United Arab Emirates (UAE)

2015 ◽  
Vol 1 (2) ◽  
pp. 28
Author(s):  
Suheer Haroun
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Logistic Regression ◽  
Blood Glucose ◽  
United Arab Emirates ◽  
Binary Logistic Regression ◽  
Sample Survey ◽  
Fresh Vegetables ◽  
Study Results

Objectives: The aim of this study was to model and determine factors influencing the risk of diabetes mellitus (DM) in the United Arab Emirates and to analyze data related to the topic. Methods: The study was carried out in UAE, using a questionnaire to out-patients in a medical clinic that contained socio-demographic characteristics and risk factors were used for data collection. Sample survey data analyzed using descriptive techniques, correlations, and binary logistic regression models. Binary logistic regression were performed to find the crude and adjusted odds ratio (OR) and 95% confidence interval (CI) was calculated to find the significance of the observed OR. A p-value ≤ 0.05 was considered statistically significant All Analysis was performed using SPSS and Microsoft excels. Results: study results showed that six main factors influence the risk of diabetes in UAE, which are, blood glucose, blood pressure, physical activity, waist size, gender and family history of diabetes. Marital status, smoking, and intake of fresh vegetables and fruits did not show any statistically significant association with risk of diabetes in UAE. Blood glucose is observed as the most statistically significant factor (for every one unit increase in blood glucose, the study expect a 5.422 increase in the risk of developing diabetes), at the meantime gender observed as the lowest statistically significant factor (if the respondent is male the probability of being diabetic is 0.809 percent) holding all other independent variables constant. Conclusion: Results of the present study will be one of use in planning primordial, primary and secondary measures of prevention at the community. Encouraging physical activity, controlling blood pressure and blood glucose may significantly decrease the risk of diabetes mortality; effective health education programs promoting regular exercise and effective advices may needed to reduce the burden of diabetes in UAE.

scholarly journals Your Next Move: Improving the health of middle-aged men who are overweight or obese

2020 ◽  
pp. 04-13
Author(s):  
Emma J Hennessey ◽  
Benjamin R Prance ◽  
Alya Jaffer ◽  
Angela M. Kolen
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Waist Circumference ◽  
Healthy Lifestyle ◽  
Program Completion ◽  
Lifestyle Changes ◽  
Urban Setting ◽  
Lifestyle Program ◽  
Study Results ◽  
Old Men

Background: Your NeXt Move: X Fans in Training Program is a healthy lifestyle program tailored for men who are overweight or obese and was based on another intervention implemented in an urban setting. The goal of ‘Your NeXt Move’ was to improve men’s health through exercise and health literacy-based lessons using humor and competition to facilitate positive lifestyle changes. This paper shares the efficacy of the 12-week program regarding weight, body mass index, waist circumference, blood pressure and physical activity in 35 to 65-year-old men who were overweight and obese living in a rural area. Methods: 25 men (49.4±8.3 yrs) provided data for this study. Results: Upon program completion, these men experienced, on average, a significant decrease in body weight (2.1 kg, p = 0.006), BMI (0.7 kg/m2, p=0.006), waist circumference, (3.6 cm, p=0.007), and systolic (7.7 mmHg, p=0.007) and diastolic (4.3 mmHg, p=0.036) blood pressure. They also, on average, increased their daily steps by about 2000, indicating improved levels of physical activity. Conclusion: These findings suggest ‘Your neXt Move’ was successful in improving the physiological health of the men who participated. Keywords: Physical activity; Exercise; waist circumference; Blood pressure; Comradery

Associations Between Unhealthy Lifestyle Behaviors and Metabolic Syndrome by Gender in Young Adults

2018 ◽  
Vol 21 (2) ◽  
pp. 173-181 ◽  
Author(s):  
Kuei-Man Lin ◽  
Jeng-Yuan Chiou ◽  
Hsen-Wen Kuo ◽  
Jung-Ying Tan ◽  
Shu-Hua Ko ◽  
...  
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Young Adults ◽  
Young Adult ◽  
Health Care Providers ◽  
Betel Quid ◽  
Lifestyle Behaviors ◽  
Care Providers ◽  
Unhealthy Lifestyle ◽  
Betel Quid Chewing

Objective: Unhealthy lifestyle behaviors, such as smoking, drinking, betel-quid chewing, insufficient exercise, and inadequate sleep are significantly correlated with metabolic syndrome (MetS). To further understand this relationship, this study examined the main effect of unhealthy lifestyle behaviors and their interaction on MetS by gender in young adults. Method: A cross-sectional study involving 694 young adults from a national survey was performed in which demographic characteristics, unhealthy lifestyle behaviors, anthropometric measurements, and blood chemistry panels were collected during face-to-face interviews. Results: The prevalence of MetS among young adults was 17.4% and was greater in males than females (19.0% vs. 7.8%). The unhealthy lifestyle-behavior risk factors associated with MetS included smoking (odds ratio [ OR] = 4.53) and physical activity ( OR = 0.51) among males and betel-quid chewing ( OR = 8.90) and less sleep ( OR = 0.08) among females. Significant interaction effects were observed between the abovementioned behaviors and gender for the risk of developing MetS. Conclusion: These results can guide health-care providers in reducing MetS risk by encouraging young adult males to reduce or quit cigarette smoking and maintain optimum levels of physical activity and young adult females to quit chewing betel quid and obtain appropriate amounts of sleep.

scholarly journals Comparison of Metabolic Syndrome, Uric Acid and Leisure Time Physical Activity between Former Athletes and Non-Athlees

2021 ◽  
pp. 85-95
Author(s):  
Zayed M. Altowerqi ◽  
Zainal Abidin Bin Zainuddin
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Overweight And Obesity ◽  
Former Athletes ◽  
Study Results ◽  
High Level

This study aims to determine the prevalence of metabolic syndrome (MS), overweight and obesity, uric acid (UA), and leisure time physical activity (LTPA) among former athletes and non-athletes in the Kingdom of Saudi Arabia (KSA). Moreover, to determine the effects of previous high intensity training on MS risk factors, overweight and obesity, and UA. Seventy-five (75) former athletes and twenty-six (26) non-athletes, aged between 26 and 60 years old, participated in this study. Height, weight, waist circumference (WC), blood pressure (BP), and blood samples were collected by the researcher. LTPA was reported by participants. The study results showed that 38.61% of former athletes have MS and 17.82% of non-athletes have MS. The study also showed that 31.68% of former athletes were overweight and 26.73% were obese. However, the prevalence of overweight and obesity among non-athletes was 9.90%. 23.76% of former athletes had high level of UA, whereas 14.85% of non-athletes had high level of UA. According to the study findings 28% former athletes participated in high physical activity (PA), 38.67% in moderate PA, and 33.33% in low PA, while 19.23% of non-athletes participated in high PA, 38.46% in moderate PA, and 42.31% in low PA. Former athletes had lower mean of body mass index, WC, fasting blood glucose (FBG), diastolic blood pressure (DBP), and UA than non-athletes. In addition, higher mean of low high-density lipoprotein (HDL).  However, former athletes had higher mean of systolic blood pressure (SBP) and triglycerides (TG) than non-athletes.

scholarly journals Lifestyle modifies the diabetes-related metabolic risk, conditional on individual genetic differences

2020 ◽  
Author(s):  
Jisu Shin ◽  
Xuan Zhou ◽  
Joanne Tan ◽  
Elina Hyppönen ◽  
Beben Benyamin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Systolic Blood Pressure ◽  
Genetic Effects ◽  
Genetic Differences ◽  
Metabolic Risk ◽  
Lifestyle Modifications ◽  
Metabolic Traits ◽  
Gxe Interaction

AbstractBackgroundMetabolic syndrome is a group of heritable metabolic traits that are highly associated with type 2 diabetes (T2DM). Classical interventions to T2DM include individual self-management of environmental risk factors such as improving diet quality, increasing physical activity and reducing smoking and alcohol consumptions, which decreases the risk of developing metabolic syndrome. However, it is poorly understood how the phenotypes of diabetes-related metabolic traits change with respect to lifestyle modifications at the individual level.MethodsIn this study, we applied a whole-genome genotype-by-environment (GxE) interaction approach to describe how intermediate traits reflecting metabolic risk are affected by genetic variations and how this genetic risk can interact with lifestyle, which can vary, conditional on individual genetic differences. In the analysis, we used 12 diabetes-related metabolic traits and eight lifestyle covariates from the UK Biobank comprising 288,837 white British participants genotyped for 1,133,273 genome-wide single nucleotide polymorphisms.FindingsWe found 17 GxE interactions, of which four modulated BMI and the others distributed across other traits. Modulation of genetic effects by physical activity was seen for four traits (glucose, HbA1c, C-reactive protein, systolic blood pressure), and by alcohol and smoking for three (BMI, glucose, waist-hip ratio; and BMI, diastolic and systolic blood pressure, respectively). We also found a number of significant phenotypic modulations by the lifestyle covariates, which were not attributed to the genetic effects in the model. Overall, modulation in the metabolic risk in response to the level of lifestyle covariates was clearly observed, and its direction and magnitude were varied depending on individual differences. We also showed that the metabolic risk inferred by our model was notably higher in T2DM prospective cases than controls.InterpretationOur findings highlight the importance of individual genetic differences in the prevention and management of diabetes and suggest that the one-size-fits-all approach may not benefit all.FundingThis study has been supported by the Australian Research Council (DP 190100766, FT 160100229).

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