Evidence map›Paper›PMID 39187783›Full record

ArticleBMC geriatrics2024

The silent epidemic: exploring the link between loneliness and chronic diseases in China's elderly.

Lingbing Meng, Ruofan Xu, Jianyi Li, Jiabin Hu, Hongxuan Xu, Dishan Wu, Xing Hu, Xuezhai Zeng, Qiuxia Zhang, Juan Li and 1 more

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Lingbing Meng *Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dong Dan, Beijing, 100730, China.
Ruofan Xu *Graduate School, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 9 Dongdansantiao, Dongcheng District, Beijing, 100730, China.
Jianyi LiDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dong Dan, Beijing, 100730, China.
Jiabin HuHealth Service Department of the Guard Bureau of the Joint Staff Department, Beijing, China.
Hongxuan XuDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dong Dan, Beijing, 100730, China.
Dishan WuDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dong Dan, Beijing, 100730, China.
Xing HuHealth Service Department of the Guard Bureau of the Joint Staff Department, Beijing, China.
Xuezhai ZengDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dong Dan, Beijing, 100730, China.
Qiuxia ZhangChina Research Center on Aging, Beijing, 100054, China.
Juan LiCenter on Aging Psychology, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Deping LiuDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 DaHua Road, Dong Dan, Beijing, 100730, China. lliudeping@263.net.

Funding

Chinese Academy of Medical Sciences, CAMS Innovation Fund for Medical Sciences 2018-I2M-1-002National Key Research and Development Program of China 2020YFC2003000National Natural Science Foundation of China Grant no. 31271097, and 51672030
6 · The paper itself

Abstract

backgroundChronic diseases, such as heart disease, cancer, and diabetes, are the leading causes of death and disability. Loneliness is linked to a greater risk of chronic disease. However, the lack of loneliness may change this relationship.

methodsThe 4th Survey of the Aged Population in Urban and Rural China (SSAPUR) was performed. 222,179 people over 60 years old were recruited. Chronic disease was defined by self-reported tumble incidents using the fourth SSAPUR questionnaire. We found that the residuals were well normally distributed. Subsequently, we analyzed the association between each studied factor and chronic disease by univariate logistic regression analysis. Finally, we stratified the population by age, gender, and urban and rural.

results77,448 individuals experienced loneliness, while 137,593 did not. Loneliness correlated significantly with urban-rural classification, age, and gender (P < 0.001). There was a significant association between chronic diseases and loneliness (P < 0.05). Compared to lonely individuals, those with low level of loneliness had a lower incidence of gastric diseases (OR = 0.752, 95% CI, 0.736-0.769, P < 0.001), osteoarthritis (OR = 0.685, 95% CI, 0.673-0.697, P < 0.001), chronic obstructive pulmonary disease (COPD) (OR = 0.678, 95% CI, 0.659-0.698, P < 0.001), asthma (OR = 0.608, 95% CI, 0.583-0.633, P < 0.001), malignant tumors (OR = 0.892, 95% CI, 0.822-0.968, P = 0.006), and reproductive system diseases (OR = 0.871, 95% CI, 0.826-0.918, P < 0.001).

conclusionIn summary, loneliness is an important risk factor in the occurrence and development of chronic diseases in the elderly in China, and it has adverse effects on hypertension, stomach disease, cataract or glaucoma, osteoarthrosis, chronic lung disease, asthma, malignant tumor, and reproductive system diseases.

Indexed as

LonelinessAgedAged, 80 and overChinaChronic DiseaseEpidemicsFemaleHumansMaleMiddle AgedRural PopulationUrban PopulationAgingAnxietyEndocrinologyLonelinessNeuropsychiatry

Identifiers

PMID39187783
PMCPMC11346041

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.