Evidence map›Paper›PMID 31800066›Full record

ArticleJAMA network open2019

Association of Depressive Symptoms With Incident Cardiovascular Diseases in Middle-Aged and Older Chinese Adults.

Haibin Li, Deqiang Zheng, Zhiwei Li, Zhiyuan Wu, Wei Feng, Xue Cao, Jiaxin Wang, Qi Gao, Xia Li, Wei Wang and 3 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 211 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
211citing papers in PubMed, 3 pooled it
9.5field-weighted citation impact, top 1% of its field
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

211 citing papers in PubMed, 3 syntheses or guidelines pooled it, 367 citations in OpenAlex.

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151 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 4 countries.

Haibin LiDepartment of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China.
Deqiang ZhengDepartment of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China.
Zhiwei LiDepartment of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China.
Zhiyuan WuDepartment of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China.
Wei FengDepartment of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China.
Xue CaoDepartment of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China.
Jiaxin WangDepartment of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China.
Qi GaoDepartment of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China.
Xia LiDepartment of Mathematics and Statistics, La Trobe University, Melbourne, Victoria, Australia.
Wei WangGlobal Health and Genomics, Edith Cowan University School of Medical Health Sciences, Perth, Western Australia, Australia.
Brian J HallGlobal and Community Mental Health Research Group, Department of Psychology, University of Macau, Macao SAR, China.
Yu-Tao XiangUnit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.
Xiuhua GuoDepartment of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China.
Capital Medical University · CNEdith Cowan University · AUJohns Hopkins University · USLa Trobe University · AUUniversity of Macau · MO

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619
6 · The paper itself

Abstract

Importance: The prevalence of depressive symptoms among older adults has become an increasingly important public health priority. Elevated depressive symptoms are well documented among elderly people with cardiovascular disease (CVD), but studies conducted among Chinese adults are scarce. Objective: To estimate the association between depressive symptoms and incident CVD among middle-aged and older Chinese adults. Design, Setting, and Participants: The China Health and Retirement Longitudinal Study is an ongoing nationally representative prospective cohort study that was initiated in 2011. This cohort study included 12 417 middle-aged and older Chinese adults without heart disease and stroke at baseline. Statistical analysis was conducted from April 25, 2018, to December 13, 2018. Exposure: Depressive symptoms were assessed using the validated 10-item of Center for Epidemiologic Studies Depression Scale. Main Outcomes and Measures: Incident CVD (ie, self-reported physician-diagnosed heart disease and stroke combined) was followed-up from June 1, 2011, to June 31, 2015. The Center for Epidemiologic Studies Depression Scale total score ranges from 0 to 30, with a score of 12 or more indicating elevated depressive symptoms. Results: Of the 12 417 participants (mean [SD] age at baseline, 58.40 [9.51] years), 6113 (49.2%) were men. During the 4 years of follow-up, 1088 incident CVD cases were identified. Elevated depressive symptoms were independently associated with an increased CVD risk (adjusted hazard ratio, 1.39; 95% CI, 1.22-1.58) after adjusting for age, sex, residence, marital status, educational level, smoking status, drinking status, systolic blood pressure, and body mass index; history of diabetes, hypertension, dyslipidemia, and chronic kidney disease; and use of hypertension medications, diabetes medications, and lipid-lowering therapy. Of the 10 individual depressive symptoms measured by the Center for Epidemiologic Studies Depression Scale, only 2 symptoms, restless sleep (adjusted hazard ratio, 1.21; 95% CI, 1.06-1.39) and loneliness (adjusted hazard ratio, 1.21; 95% CI, 1.02-1.44), were significantly associated with incident CVD. Conclusions and Relevance: Elevated depressive symptoms overall and 2 individual symptoms (restless sleep and loneliness) were significantly associated with incident CVD among middle-aged and older Chinese adults.

Indexed as

AgedAged, 80 and overCardiovascular DiseasesChinaDepressionFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk Factors

Identifiers

PMID31800066
PMCPMC6902756
OpenAlexW3003704241

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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 OpenQuestion graph.