已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Loneliness Trajectories Predict Risks of Cardiovascular Diseases in Chinese Middle-Aged and Older Adults

孤独 老年学 逻辑回归 社会孤立 社会支持 医学 冲程(发动机) 健康与退休研究 心理学 透视图(图形) 人口学 临床心理学 精神科 社会心理学 内科学 工程类 社会学 人工智能 机械工程 计算机科学
作者
Yu–Chu Huang,Xinyi Zhu,Xiaomei Liu,Juan Li
出处
期刊:The Journals of Gerontology: Series B [Oxford University Press]
标识
DOI:10.1093/geronb/gbae018
摘要

Loneliness is considered a risk factor for cardiovascular diseases (CVD), but related evidence is mixed. Examining trajectories of loneliness over time, as compared to the assessment of loneliness at a single time point, can be useful to better understand the risks for CVD. The present study aimed to examine loneliness trajectories and their impacts on CVD in Chinese middle-aged and older adults.The sample included 9235 adults aged 45 years and above from four waves of the China Health and Retirement Longitudinal Survey from 2011 to 2018. Loneliness was assessed by a single-item question with a four-point scale. CVD events were measured by self-reports of heart diseases and stroke in 2018.Group-based trajectory modeling showed that three loneliness trajectories emerged: stable low, moderate increasing, and high increasing loneliness. Binary logistic regression showed that loneliness trajectories were significantly associated with the risk of having CVD after controlling for all covariates. Specifically, compared to the group with stable low loneliness, people with moderate increasing had a higher risk of having stroke, and people with high increasing loneliness had higher risks of having both heart diseases and stroke. In contrast, loneliness at a single time point was not independently associated with the risk of having CVD.The present study identified groups of people vulnerable to CVD from the perspective of social connections in terms of loneliness trajectories. Middle-aged and older adults showing increasing loneliness may need social and emotional support to protect their cardiovascular health.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
BASS发布了新的文献求助10
1秒前
maox1aoxin应助yy采纳,获得30
3秒前
4秒前
10秒前
10秒前
parpate完成签到,获得积分10
10秒前
CKJ完成签到,获得积分10
12秒前
爆米花应助zzl采纳,获得10
14秒前
慕青应助柴犬采纳,获得10
14秒前
缓慢珠发布了新的文献求助30
14秒前
14秒前
Mike001发布了新的文献求助10
15秒前
15秒前
巫马尔槐完成签到,获得积分10
15秒前
parpate发布了新的文献求助10
16秒前
Mike001发布了新的文献求助10
17秒前
17秒前
18秒前
Mike001发布了新的文献求助10
19秒前
19秒前
Mike001发布了新的文献求助10
20秒前
21秒前
22秒前
Mike001发布了新的文献求助10
22秒前
24秒前
为三而舞发布了新的文献求助100
24秒前
这个硬盘完成签到 ,获得积分10
25秒前
25秒前
合适的梦菡完成签到,获得积分10
26秒前
赘婿应助ambition采纳,获得10
26秒前
lkl发布了新的文献求助10
29秒前
29秒前
yyyyyy发布了新的文献求助10
30秒前
英俊的铭应助俗丨采纳,获得10
30秒前
33秒前
JonyQ发布了新的文献求助10
38秒前
39秒前
dramatic完成签到 ,获得积分10
40秒前
SciGPT应助缓慢珠采纳,获得10
40秒前
43秒前
高分求助中
The three stars each: the Astrolabes and related texts 1120
Electronic Structure Calculations and Structure-Property Relationships on Aromatic Nitro Compounds 500
Revolutions 400
Psychological Warfare Operations at Lower Echelons in the Eighth Army, July 1952 – July 1953 400
少脉山油柑叶的化学成分研究 350
宋、元、明、清时期“把/将”字句研究 300
Classroom Discourse Competence 260
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2438812
求助须知:如何正确求助?哪些是违规求助? 2117976
关于积分的说明 5378077
捐赠科研通 1846324
什么是DOI,文献DOI怎么找? 918749
版权声明 561782
科研通“疑难数据库(出版商)”最低求助积分说明 491415