首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >The Northumberland Exercise Referral Scheme as a Universal Community Weight Management Programme: A Mixed Methods Exploration of Outcomes Expectations and Experiences across a Social Gradient
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The Northumberland Exercise Referral Scheme as a Universal Community Weight Management Programme: A Mixed Methods Exploration of Outcomes Expectations and Experiences across a Social Gradient

机译:Northommberland运动转介计划作为普遍的社区体重管理计划:混合方法探索社会梯度的结果期望和经验

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摘要

Exercise referral schemes (ERS) are internationally recognised, yet little attention has been paid to discrete referral groups or the influence of wider social determinants of health. The primary quantitative element of this mixed methods study used a mixed effects linear model to examine associations of sociodemographic predictors, obesity class and profession of referrer on weight and physical activity (PA) variables for weight-related referrals ( = 3624) to an established 24-week ERS. Chained equations modelling imputed missing data. The embedded qualitative element ( = 7) used individual semi-structured interviews to explore participant weight-related expectations and experiences. Age, gender and profession of referrer influenced weight loss. PA increased and was influenced by age and gender. The weight gap between the most and least obese narrowed over time but the PA gap between most and least widened. Age, employment and obesity class were most predictive of missing data but would unlikely alter overall conclusions. Qualitative themes were weight-loss support, personal circumstances and strategies, and weight expectations versus wellbeing rewards. This ERS worked, did not widen existing obesity inequalities, but demonstrated evidence of PA inequalities for those living with deprivation. To improve equity of experience, we recommend further stakeholder dialogue around referral experience and ongoing support needs.
机译:运动转介计划(ERS)是国际认可的,但对离散转诊群体或更广泛的社会决定因素的健康的影响几乎没有关注。这种混合方法的初级定量元素研究使用了混合效果线性模型来检查协会的血统预测因子,肥胖等级和转诊者的职业对重量和体力活动(PA)变量进行体重相关的引用(= 3624)到建立的24 -week ers。链式方程式建模缺失数据。嵌入式的质量元素(= 7)使用单独的半结构性访谈来探索与会者的体重相关的期望和经验。推荐人的年龄,性别和专业影响体重减轻。 PA增加,受年龄和性别的影响。随着时间的推移,最多和最少的肥胖之间的重量差距,但大多数和最少扩大的PA间隙。年龄,就业和肥胖阶级最具预测的缺失数据,但不太可能发生完整的结论。定性主题是减肥支持,个人情况和策略,重量期望与健康奖励。这位曾经工作过,并没有扩大现有的肥胖不平等,但展示了剥夺人士的人的证据。为了提高经验的股权,我们建议进一步的利益攸关方对话进行转诊经验和持续的支持需求。

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