Unhealthy lifestyles among young people are seriously related to incapacity and health problems in adulthood. The aim of this study was to determine the importance of a health-promoting lifestyle and its association with self-efficacy and well-being.
In this cross-sectional study, a sample of 500 students from Shahroud University of Medical Sciences (Shahroud, Iran) were randomly selected in 2017. The Persian versions of Health-Promoting Lifestyle Profile, Self-Efficacy Scale, and WHO-5 Well-Being Index were used.
Among the participants, 34% of students had an abnormal imaginable well-being, and 68% of students had high self-efficacy. The mean score of a health-promoting lifestyle was 127.47 ± 19.78, which is interpreted as moderate, and the mean score of physical activity was 14.10 ± 4.95, which is poor. There was a significant relationship between well-being, and self-efficacy with health-promoting lifestyle. Age, gender, educational level, place of residence, student employment, self-efficacy, and well-being were associated with students’ lifestyles.
A health-promoting lifestyle of students in this study was moderate and they did not have an acceptable level of physical activity. The direct effect of well-being, and self-efficacy on lifestyle, revising students’ curriculums to improve their health behaviors, and general health indicators, can all lead to the enhancement of health-promoting lifestyles.
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To describe the distribution of social factors, lifestyle habits and anthropometric measurements according to hypertension and Type-2 diabetes.
A cross-sectional study was conducted in Gaza City, Palestine that included 379 patients (20–60 years) who had hypertension and/or diabetes. Three groups of patients were involved; 106 hypertensive (HT), 109 diabetic (T2DM) and 164 hypertensive diabetics (HT + T2DM).
The HT + T2DM group were older and had a higher body mass index compared to HT and T2DM groups. There were 62.3% patients who were female, 49.2% were highly educated HT patients, and 49.3% patients had a low level of education and were HT + T2DM. There were 55.8% patients who lived in large families. Patients who were passive smokers or never smoked before were mostly HT + T2DM, while active smokers and past smokers had T2DM. There were 48.2% patients who were highly physically active who had HT, 40.9% whom were moderately active had T2DM, and 53.8% of patients who had a low level of activity were HT + T2DM. Multivariate linear regression showed that having a diseased mother, living in a large family, being a past or passive smoker, or never having smoked, having a low or moderate level of activity, and having HT or HT + T2DM, were significantly associated with an increased body mass index.
Parental health/disease conditions and environmental factors (social network and lifestyle habits) played the greatest role in the development of obesity and disease.
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There is evidence to suggest that sedentary behavior is associated with a higher risk of metabolic disease. The aim of this study was to investigate cross-sectional joint associations of physical activity (PA) and screen time (ST), with the risk of obesity in Korean adults.
The Korea Media Panel Study consisted of a household interview and a self-administered diary survey on media usage over 3 days. ST (hours/day) was defined as the reported daily average hours spent watching television, computing (i.e., desktop, notebook, netbook, tablets), smartphone and video game console use. Cross-sectional associations of obesity (BMI ≥ 25 kg/m2) and the amount of daily ST and PA were examined by logistic regression models adjusting for other possible confounders including alcohol consumption, smoking, depressive symptoms and demographic information. There were 7,808 participants included in the analyses.
Increased ST was significantly associated with the risk of obesity (controlling for other possible confounders), but PA level was not found to be significantly linked. Participants who engaged in screen time > 6 hours per day had a higher incidence of obesity.
This study provides evidence of the association between ST and the increased incidence of obesity measured by BMI, independent of PA amongst Korean adults.
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The purpose of this study was to identify the current state of physical activity in adults with diabetes and to investigate the effect of physical activity on depression.
The present study was conducted using data from the 2nd year of the 6th Korea National Health and Nutritional Examination Survey. From the total of 7,550 individuals, 418 adults diagnosed with diabetes were selected as participants, and their physical activity and depression levels were examined.
The physical activity status of the participants showed that they did not usually engage in physical activities at work, and only a few participants were involved in moderate intensity physical leisure activity. Apart from walking for 10 minutes each day, which accounted for 1/3 of the participants, most of the participants did not engage in specific forms of exercise. An examination of the effects of physical activity on depression revealed that moderate intensity physical activity at work and leisure influenced depression. In terms of demographic characteristics, gender, occupation, income quintile, and subjective health status were all found to affect depression.
For elderly (60 years or older) patients with diabetes, which accounted for the majority of the diabetic population, a systematic leisure program and professional education are necessary to help them to manage stress and depression in daily life. Additionally, provision of community and family support should encourage regular, moderate intensity exercise and promote lifestyle changes to encourage increased physical activity.
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This study investigates investigated the relationship between social and physical environments, and moderate to vigorous physical activity (MVPA) amongst adults in both rural and urban areas within Korea.
A sample of 128,735 adults from the 2013 Community Health Survey (CHS) was analyzed using a multilevel logistic analysis.
Urban residents with higher satisfaction in public transportation satisfaction and rural residents with more access to sports parks, hiking trails, and bike cycle paths were more likely to be active. The MVPA of adults from rural areas correlated urban adults was uncorrelatedwith neighborhood factors, but that of rural adults was whereas no correlations were observed in adults from urban areas.
These differences should be considered when developing interventions strategies to enhance adult physical activity in different communities.
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