Retirement transition and smoking and drinking behaviors in older Chinese adults: Analysis from the CHARLS study

泊松回归 人口学 医学 纵向研究 心理干预 公共卫生 置信区间 老年学 健康与退休研究 相对风险 环境卫生 心理学 人口 精神科 社会学 护理部 病理 内科学
作者
Mengyun Luo,Adrian Bauman,Philayrath Phongsavan,Ding Ding
出处
期刊:Preventive medicine reports [Elsevier]
卷期号:36: 102408-102408 被引量:1
标识
DOI:10.1016/j.pmedr.2023.102408
摘要

Smoking and drinking are important public problems and a substantial part of work culture in mainland China. However, little is known about the effect of retirement on these behaviors. Thus, this study examined the relationships between retirement transition, smoking and excessive drinking among older Chinese adults.Repeated longitudinal data from a nationally representative sample of Chinese adults were collected in 2011, 2013, 2015 and 2018. Respondents completed a structured questionnaire regarding work status and health behaviors. Modified mixed-effects Poisson regression models were used to explore the associations, with additional analyses stratified by gender.Of the 10,378 participants included, 62.6% and 20.1% of men reported current smoking and excessive drinking at study entry; compared to 4.4% and 1.5% of women, respectively. There was no significant association between retirement and smoking. We found a dose-response relationship between time in retirement and excessive drinking in the adjusted model where those who retired >= 2 years ago had a 30% lower risk of excessive drinking (risk ratio (RR) = 0.70, 95% confidence interval (CI) = 0.56-0.86), and those who retired < 2 years ago had a 16% lower risk of excessive drinking (RR = 0.84, 95%CI = 0.73-0.97), compared with those who remained working. This pattern remained when analyzed separately for men and women, although not all results reached statistical significance.Chinese older adults are more likely to reduce drinking following retirement. Such evidence supports the positive framing of retirement in public discourse and the need for workplace interventions to address excessive drinking in China.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
茸包发布了新的文献求助10
1秒前
SciGPT应助褪色采纳,获得10
1秒前
1秒前
LYB完成签到 ,获得积分10
2秒前
2秒前
Arthur发布了新的文献求助10
2秒前
笨笨凡梦发布了新的文献求助10
2秒前
自然选择关注了科研通微信公众号
3秒前
3秒前
4秒前
星闪发布了新的文献求助10
5秒前
6秒前
xiao完成签到,获得积分10
6秒前
123发布了新的文献求助10
6秒前
6秒前
7秒前
无极微光应助RO采纳,获得20
7秒前
7秒前
7秒前
Jasper应助hsa_ID采纳,获得10
7秒前
MarcoPolo发布了新的文献求助10
9秒前
9秒前
123发布了新的文献求助10
9秒前
donk666发布了新的文献求助10
11秒前
茸包完成签到,获得积分10
11秒前
lyb完成签到 ,获得积分10
11秒前
12秒前
大个应助搞怪的哈密瓜采纳,获得10
12秒前
xiao发布了新的文献求助30
12秒前
SWAGGER123发布了新的文献求助10
13秒前
褪色发布了新的文献求助10
14秒前
拉布拉多多不多完成签到,获得积分10
14秒前
14秒前
Narsillion发布了新的文献求助10
15秒前
自然选择发布了新的文献求助10
15秒前
15秒前
在水一方应助不安的硬币采纳,获得10
16秒前
16秒前
17秒前
路杨关注了科研通微信公众号
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6018778
求助须知:如何正确求助?哪些是违规求助? 7609483
关于积分的说明 16160244
捐赠科研通 5166562
什么是DOI,文献DOI怎么找? 2765340
邀请新用户注册赠送积分活动 1746976
关于科研通互助平台的介绍 1635419