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Physical activity behavior begins to decline during adolescence and continues to decrease throughout young adulthood. This study aims to explain factors that influence physical activity behavior in a sample of female adolescents using a health promotion model framework.
This cross-sectional survey was used to explore physical activity behavior among a sample of female adolescents. Participants completed measures of physical activity, perceived self-efficacy, self-esteem, social support, perceived barriers, and perceived affect. Interactions among the variables were examined using path analysis within a covariance modeling framework.
The final model accounted for an R2 value of 0.52 for physical activity and offered a good model-data fit. The results indicated that physical activity was predicted by self-esteem (β=0.46,
The findings of this study showed that the health promotion model was useful to predict physical activity behavior among the Iranian female adolescents. Information related to the predictors of physical activity behavior will help researchers plan more tailored culturally relevant health promotion interventions for this population.
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Research has shown that obesity appears to spread through social ties. However, the association between other characteristics of social networks and obesity is unclear. This study aimed to identify the association between social network characteristics and body mass index (BMI, kg/m2) in an elderly Korean population.
This cross-sectional study analyzed data from 657 Koreans (273 men, 384 women) aged 60 years or older who participated in the Korean Social Life, Health, and Aging Project. Network size is a count of the number of friends. Density of communication network is the number of connections in the social network reported as a fraction of the total links possible in the personal (ego-centric) network. Average frequency of communication (or meeting) measures how often network members communicate (or meet) each other. The association of each social network measure with BMI was investigated by multiple linear regression analysis.
After adjusting for potential confounders, the men with lower density (<0.71) and higher network size (4-6) had the higher BMI (β=1.089,
Our study suggests that social network structure (network size and density) and activation (communication frequency and meeting frequency) are associated with obesity among the elderly. There may also be gender differences in this association.
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The purpose of the study was to examine the relationships among the psychological, social, and environmental factors influencing the utilization of senior centers among older adults in Korea.
A questionnaire survey was administered to two types of older adults who lived in Seoul, Korea: 262 older adults who used senior centers (3 places) and 156 older adults who did not use senior centers.
Our results showed clearly that the utilization of the senior centers in Korea is affected by higher self-efficacy (odds ratio [OR], 6.08; 95% confidence interval [CI], 3.31 to 12.32), higher perceived benefits (OR, 1.71; 95% CI, 1.16 to 4.36), lower perceived barriers (OR, 6.43; 95% CI, 3.07 to 11.45), higher family support (OR, 4.21; 95% CI, 2.02 to 8.77), and higher support from friends (OR, 4.08; 95% CI, 2.38 to 7.81). The results also showed that participants whose total travel time was 15 to 29 minutes (OR, 2.84; 95% CI, 1.21 to 3.64) or less than 14 minutes (OR, 4.68; 95% CI, 3.41 to 8.41) were more likely to use a senior center than those who had to travel more than 30 minutes.
This study showed that the utilization of senior centers in Korea is affected by psychological, social, and environmental factors, specifically by self-efficacy, perceived benefits, perceived barriers, social support, convenience of transportation, and total travel time to the senior centers. The effects of longer-term utilization of the senior centers by non-users on health-related outcomes in a large population warrant attention.
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