Association between body mass index and health-related quality of life, and the impact of self-reported long-term conditions - cross-sectional study from the south Yorkshire cohort dataset
Association between body mass index and health-related quality of life, and the impact of self-reported long-term conditions - cross-sectional study from the south Yorkshire cohort dataset
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DOI：
10.1186/1471-2458-13-1009
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发表时间：
2013-10-25
影响因子：
4.5
通讯作者：
Relton, Clare
中科院分区：
文献类型：
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作者：
Kearns, Benjamin;Ara, Roberta;Relton, Clare
背景：我们试图量化体重指数(BMI)和EQ-5D测量的健康相关生活质量(HRQL)之间的关系，同时控制潜在的混杂因素。此外，我们假设，超重或肥胖是已知风险因素的某些长期条件(LTC)可能会调节BMI和HRQL之间的联系。因此，我们的研究目的是探索BMI和HRQL之间的联系，首先控制混杂因素，然后探索长期TC的潜在影响。方法：我们使用南约克郡队列的基线数据，这是一项横断面观察性研究，采用队列多随机对照试验设计。对于每个EQ-5D健康维度，我们使用Logistic回归对五个健康维度中的每个维度都有问题的响应概率进行建模。所有的连续变量都用分数次多项式建模。我们考察了从我们的模型中去除LTC对BMI系数的影响。我们考虑了自我报告的LTC：糖尿病、心脏病、中风、癌症、骨关节炎、呼吸问题和高血压。结果：我们分析中使用的数据集有19460人的数据，他们的EQ-5D平均得分为0.81，平均BMI为26.3 kg/m(2)。对于每个维度，BMI和所有LTC都是显著的预测因子。对于超重或肥胖的个体(体重指数=25 kg/m(2))，体重指数每增加一个单位，焦虑/抑郁维度报告问题的几率增加约3%，活动维度增加8%，其余维度S增加约6%。糖尿病、心脏病、骨关节炎和高血压被认为是所有维度的潜在中介变量。25 kg/m(2)，超重和肥胖个体的HRQOL降低，BMI每增加一个单位，报告任何EQ-5D健康维度问题的几率增加约6%。有证据表明，糖尿病、心脏病、骨关节炎和高血压可能在超重和HRQL之间起中介作用。
Background: We sought to quantify the relationship between body mass index (BMI) and health-related quality (HRQoL) of life, as measured by the EQ-5D, whilst controlling for potential confounders. In addition, we hypothesised that certain long-term conditions (LTCs), for which being overweight or obese is a known risk factor, may mediate the association between BMI and HRQoL. Hence the aim of our study was to explore the association between BMI and HRQoL, first controlling for confounders and then exploring the potential impact of LTCs.Methods: We used baseline data from the South Yorkshire Cohort, a cross-sectional observational study which uses a cohort multiple randomised controlled trial design. For each EQ-5D health dimension we used logistic regression to model the probability of responding as having a problem for each of the five health dimensions. All continuous variables were modelled using fractional polynomials. We examined the impact on the coefficients for BMI of removing LTCs from our model. We considered the self-reported LTCs: diabetes, heart disease, stroke, cancer, osteoarthritis, breathing problems and high blood pressure.Results: The dataset used in our analysis had data for 19,460 individuals, who had a mean EQ-5D score of 0.81 and a mean BMI of 26.3 kg/m(2). For each dimension, BMI and all of the LTCs were significant predictors. For overweight or obese individuals (BMI >= 25 kg/m(2)), each unit increase in BMI was associated with approximately a 3% increase in the odds of reporting a problem for the anxiety/depression dimension, a 8% increase for the mobility dimension, and approximately 6% for the remaining dimension s. Diabetes, heart disease, osteoarthritis and high blood pressure were identified as being potentially mediating variables for all of the dimensions.Conclusions: Compared to those of a normal weight (18.5 < BMI < 25 kg/m(2)), overweight and obese individuals had a reduced HRQoL, with each unit increase in BMI associated with approximately a 6% increase in the odds of reporting a problem on any of the EQ-5D health dimensions. There was evidence to suggest that diabetes, heart disease, osteoarthritis and high blood pressure may mediate the association between being overweight and HRQoL.