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诺森伯兰运动推荐计划作为一种通用的社区体重管理方案:对社会梯度中结果、期望和经验的混合方法探索。

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.

机构信息

Department of Sport and Exercise Sciences, Durham University, Durham DH1 3HN, UK.

Wolfson Research Institute for Health and Wellbeing Physical Activity Special Interest Group, Durham University, Durham DH1 3HN, UK.

出版信息

Int J Environ Res Public Health. 2020 Jul 23;17(15):5297. doi: 10.3390/ijerph17155297.

Abstract

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.

摘要

运动推荐计划(ERS)在国际上得到认可,但很少有人关注离散的推荐群体或更广泛的健康社会决定因素的影响。这项混合方法研究的主要定量部分使用混合效应线性模型,考察了社会人口预测因素、肥胖程度和推荐者的职业与体重相关推荐(n = 3624)到既定的 24 周 ERS 的体重和身体活动(PA)变量之间的关联。链式方程对缺失数据进行了插补建模。嵌入式定性部分(n = 7)使用个体半结构化访谈来探索参与者的体重相关期望和经验。推荐者的年龄、性别和职业影响体重减轻。PA 增加,并受年龄和性别影响。最肥胖和最不肥胖者之间的体重差距随着时间的推移而缩小,但最肥胖和最不肥胖者之间的 PA 差距扩大。年龄、就业和肥胖程度是最能预测缺失数据的因素,但不太可能改变总体结论。定性主题包括减肥支持、个人情况和策略,以及体重预期与健康回报。该 ERS 有效,没有扩大现有的肥胖不平等,但为那些生活在贫困中的人提供了 PA 不平等的证据。为了提高体验的公平性,我们建议围绕推荐体验和持续支持需求进行进一步的利益相关者对话。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69d2/7432420/6baad4aa7ed1/ijerph-17-05297-g001.jpg

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