Evidence map›Paper›PMID 38383298›Full record

ArticleBMC psychiatry2024

Analysis of depression incidence and influence factors among middle-aged and elderly diabetic patients in China: based on CHARLS data.

Shuo Bai, Jinsong Wang, Jinteng Liu, Yamin Miao, Anqi Zhang, Ziyi Zhang

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Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
11.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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3 · Its place in the literature

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25 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Shuo Bai *Affiliated Hospital of Yangzhou University, Yangzhou, China.
Jinsong Wang *Affiliated Hospital of Yangzhou University, Yangzhou, China. wangjs@yzu.edu.cn.
Jinteng Liu *School of Nursing, Yangzhou University, Yangzhou, China.
Yamin MiaoSchool of Nursing, Yangzhou University, Yangzhou, China.
Anqi ZhangSchool of Nursing, Yangzhou University, Yangzhou, China.
Ziyi ZhangSchool of Nursing, Yangzhou University, Yangzhou, China.
Yangzhou University · CNNorthern Jiangsu People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the incidence of depression in middle-aged and elderly patients with diabetes in China and the influencing factors to provide a theoretical basis to improve the mental health of middle-aged and elderly patients with diabetes and formulate prevention, control, and intervention strategies.

methodsThe sample of this study was obtained from the China Health and Aging Tracking Survey (CHARLS) 2018 survey data, and middle-aged and older patients with diabetes(responding "Yes" to the questionnaire: "Have you ever been told by a doctor that you have diabetes or elevated blood glucose [including abnormal glucose tolerance and elevated fasting glucose]?") aged ≥ 45 years were selected as study subjects (n = 2,613 ). Depressive symptoms of the study subjects were determined using the simplified version of the Depression Scale for Epidemiological Surveys scores(a score ≥ 10 was defined as depression), influence factors were analyzed using binary logistic regression, and proportion of depressive symptoms was standardized using the sex ratio of the seventh census.

resultsAmong the 2,613 middle-aged and elderly patients with diabetes, 1782 (68.2%) had depressive symptoms and 831 (31.8%) had no depressive symptoms. There were 481 (27.0%) patients aged 45-59 years, 978 (54.9%) aged 60-74 years, and 323 (18.1%) aged ≥ 75 years. The depression rate among middle-aged and elderly Chinese patients with diabetes after standardization correction was 67.5%. Binary logistic regression results showed that age, education level, life satisfaction, marital satisfaction, self-rated health grade, somatic pain, visual impairment, physical disability, and the presence of comorbid chronic diseases were factors that influenced the onset of depression in middle-aged and elderly Chinese patients with diabetes (P < 0.05).

conclusionAccording to a survey analysis of the CHARLS 2018 data, depression is influenced by a combination of factors among middle-aged and elderly patients with diabetes in China. Therefore, for this population, targeted prevention and control should be carried out for key populations, such as middle-aged and elderly people, poor physical health, and low life satisfaction and marital satisfaction, from various dimensions (e.g., demographic and sociological factors, physical health status, and life satisfaction and marital satisfaction).

Indexed as

DepressionDiabetes MellitusAgedAgingChinaGlucoseHumansIncidenceLongitudinal StudiesMiddle AgedGlucoseCHARLSDepressionDiabetes mellitusInfluencing factorsMiddle-aged and elderly

Identifiers

PMID38383298
PMCPMC10880197
OpenAlexW4391998059

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