5 research outputs found

    Who wants a slimmer body? The relationship between body weight status, education level and body shape dissatisfaction among young adults in Hong Kong

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    Background: Body shape dissatisfaction has been thought to have an indispensable impact on weight control behaviors. We investigated the prevalence of body shape dissatisfaction (BSD) and explored its association with weight status, education level and other determinants among young adults in Hong Kong. Methods. Information on anthropometry, BSD, and socio-demographics was collected from a random sample of 1205 young adults (611 men and 594 women) aged 18-27 in a community-based household survey. BSD was defined as a discrepancy between current and ideal body shape based on a figure rating scale. Cross-tabulations, homogeneity tests and logistic regression models were applied. Results: The percentages of underweight men and women were 16.5% and 34.9% respectively, and the corresponding percentages of being overweight or obese were 26.7% and 13.2% for men and women respectively. Three-quarters of young adults had BSD. Among women, 30.9% of those underweight and 75.5% of those with normal weight desired a slimmer body shape. Overweight men and underweight women with lower education level were more likely to have a mismatch between weight status and BSD than those with higher education level. After controlling for other determinants, underweight women were found to have a higher likelihood to maintain their current body shapes than other women. Men were found to be less likely to have a mismatch between weight status and BSD than women. Conclusions: Overweight and obesity in men and underweight in women were prevalent among Hong Kong young adults. Inappropriate body shape desire might predispose individuals to unhealthy weight loss or gain behaviors. Careful consideration of actual weight status in body shape desire is needed in health promotion and education, especially for underweight and normal weight women and those with a low education level. © 2011 Cheung et al; licensee BioMed Central Ltd.published_or_final_versio

    Associations between Social Support from Family, Friends, and Teachers and depressive Symptoms in Adolescents

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    Accepted: 17 June 2017Approximately 20% of adolescents develop depressive symptoms. Family, friends, and teachers are crucial sources of social support for adolescents, but it is unclear whether social support impacts adolescents directly (principle-effect model) or by moderating the effect of stress (stress-buffer model) and whether each source of social support remains meaningful when their influence is studied simultaneously. To help fill this gap, we followed 1452 Australian students (average age at enrollment = 13.1, SD = 0.5; range: 11-16 years; 51.9% female) for 5 years. Based on our findings, each source of support is negatively related to depressive symptoms one year later when studied independently but when combined, only family and teacher support predicted depressive symptoms. Family support in all grades and teacher support in grade 8 to 10 but not in grade 11 directly impacted adolescent depressive symptoms 1 year later. Family support in grades 8 and 11 also buffered against the negative impact of stress on depressive symptoms one year later. Based on the unexpected findings, the most important limitations seem to be that the used instruments do not allow for a separation of different groups of friends (e.g., classmates, same-gender peers, romantic partners), types of social support, and stress. In addition, the high, nonrandom attrition rate with adolescents reporting less social support, more stressful events, a higher frequency of depressive symptoms, and/or being of Torres Strait Islander or Aboriginal background limits the generalizability of our findings. Summarized, our findings demonstrate that adolescents facing stress might benefit more from family support compared to their peers without stressful life events and that friends may have a weaker presence in adolescent lives than expected.Patrick Pössel, Shelby M. Burton, Bridget Cauley, Michael G. Sawyer, Susan H. Spence, Jeanie Sheffiel

    Analytical tools for the physicochemical profiling of drug candidates to predict absorption/distribution

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