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社会经济地位与非传染性疾病诊断前后健康行为改变的关联:一项多队列研究。

Association between socioeconomic status and health behaviour change before and after non-communicable disease diagnoses: a multicohort study.

机构信息

Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Department of Health Metrics Sciences, School of Medicine, School of Public Health, University of Washington, Seattle, USA; Institute for Health Metrics and Evaluation, School of Public Health, University of Washington, Seattle, USA.

出版信息

Lancet Public Health. 2022 Aug;7(8):e670-e682. doi: 10.1016/S2468-2667(22)00157-8.

Abstract

BACKGROUND

Behavioural risk factors of non-communicable diseases (NCDs) are socially patterned. However, the direction and the extent to which socioeconomic status (SES) influences behaviour changes before and after the diagnosis of NCDs is not clearly understood. We aimed to investigate the influence of SES on behaviour changes (physical inactivity and smoking) before and after the diagnosis of major NCDs.

METHODS

In this multicohort study, we pooled individual-level data from six prospective cohort studies across 17 countries. We included participants who were diagnosed with either diabetes, cardiovascular disease, chronic lung disease, or cancer after recruitment. Participants were surveyed every 2 years. Education and total household wealth were used to construct SES. We measured behaviour changes as whether or not participants continued or initiated physical inactivity or smoking after NCD diagnosis. We used multivariable logistic regression models to estimate odds ratios (ORs), prevalence ratios (PRs), and 95% CIs for the associations between SES and continuation or initiation of unfavourable behaviours.

FINDINGS

We included 8107 individuals recruited between March, 2002, and January, 2016. Over the 4-year period before and after NCD diagnosis, 886 (60·4%) of 1466 individuals continued physical inactivity and 1018 (68·8%) of 1480 participants continued smoking; 1047 (15·8%) of 6641 participants with physical activity before diagnosis initiated physical inactivity after diagnosis and 132 (2·0%) of 6627 non-smokers before diagnosis initiated smoking after diagnosis. Compared with participants with high SES, those with low SES were more likely to continue physical inactivity (244 [70·3%] of 347 vs 23 [50.0%] of 46; PR 1·41 [95% CI 1·05-1·99]; OR 2·28 [1·18-4·41]), continue smoking (214 [75·4%] of 284 vs 39 [60·9%] of 64; PR 1·27 [1·03-1·59]; OR 2·08 [1·14-3·80]), but also to initiate physical inactivity (188 [26·1%] of 720 vs 47 [7·4%] of 639; PR 3·59 [2·58-4·85]; OR 4·31 [3·02 - 6·14]).

INTERPRETATION

Low SES was associated with continuing or initiating physical inactivity and continuing smoking after NCD diagnosis. Reducing socioeconomic inequality in health behaviour changes should be prioritised and integrated into NCD-prevention programmes.

FUNDING

Zhejiang University and Fundamental Research Funds for the Central Universities.

摘要

背景

非传染性疾病(NCD)的行为危险因素具有社会模式。然而,社会经济地位(SES)在 NCD 诊断前后对行为变化的影响方向和程度尚不清楚。我们旨在研究 SES 对 NCD 诊断前后行为变化(身体活动不足和吸烟)的影响。

方法

在这项多队列研究中,我们汇集了来自 17 个国家的六项前瞻性队列研究的个体水平数据。我们纳入了在招募后被诊断患有糖尿病、心血管疾病、慢性肺部疾病或癌症的参与者。参与者每两年接受一次调查。教育和家庭总财富用于构建 SES。我们将行为变化定义为参与者在 NCD 诊断后是否继续或开始身体活动不足或吸烟。我们使用多变量逻辑回归模型来估计 SES 与继续或开始不良行为之间的比值比(OR)、患病率比(PR)和 95%置信区间。

结果

我们纳入了 2002 年 3 月至 2016 年 1 月期间招募的 8107 名参与者。在 NCD 诊断前后的 4 年期间,1466 名参与者中有 886 名(60.4%)继续身体活动不足,1480 名参与者中有 1018 名(68.8%)继续吸烟;在诊断前有身体活动的 6641 名参与者中有 1047 名(15.8%)在诊断后开始身体活动不足,在诊断前非吸烟者的 6627 名参与者中有 132 名(2.0%)在诊断后开始吸烟。与 SES 较高的参与者相比,SES 较低的参与者更有可能继续身体活动不足(244[70.3%]of 347 vs 23[50.0%]of 46;PR 1.41[95%CI 1.05-1.99];OR 2.28[1.18-4.41])、继续吸烟(214[75.4%]of 284 vs 39[60.9%]of 64;PR 1.27[1.03-1.59];OR 2.08[1.14-3.80]),而且还更容易开始身体活动不足(188[26.1%]of 720 vs 47[7.4%]of 639;PR 3.59[2.58-4.85];OR 4.31[3.02-6.14])。

解释

SES 较低与 NCD 诊断后继续或开始身体活动不足和继续吸烟有关。减少健康行为变化方面的社会经济不平等应成为优先事项,并将其纳入 NCD 预防计划。

资助

浙江大学和中央高校基本科研业务费。

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