Evidence map›Paper›PMID 31588954›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Longitudinal Changes in Depressive Symptoms and Risks of Cardiovascular Disease and All-Cause Mortality: A Nationwide Population-Based Cohort Study.

Haibin Li, Frank Qian, Chenbei Hou, Xia Li, Qi Gao, Yanxia Luo, Lixin Tao, Xinghua Yang, Wei Wang, Deqiang Zheng and 1 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. 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 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
–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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Influencing Factors on Cardiovascular Health in China.Journal of geriatric cardiology : JGC · 2024
    Article
  15. Article
  16. Review
  17. Role of endocrine PACAP in age-related diseases.Frontiers in endocrinology · 2023
    Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Haibin LiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Frank QianDepartment of Medicine, University of Chicago, Illinois.
Chenbei HouDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Xia LiDepartment of Mathematics and Statistics, La Trobe University, Bundoora, Victoria, Australia.
Qi GaoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Yanxia LuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Lixin TaoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Xinghua YangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Wei WangGlobal Health and Genomics, School of Medical Sciences and Health, Edith Cowan University, Perth, Western Australia, Australia.
Deqiang ZhengDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Xiuhua GuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.

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

backgroundThere remains a relative paucity of evidence for the association between changes in depressive symptoms with cardiovascular disease (CVD) and mortality. This study aimed to evaluate the association of change in depressive symptoms and incident CVD and mortality in a large prospective cohort of middle-aged and older adults.

methodsA total of 6,810 participants free of CVD in the China Health and Retirement Longitudinal Study with two assessments of depressive symptoms at wave 1 (2011-2012) and wave 2 (2013-2014) were included. Elevated depressive symptoms were defined as a score of ≥12 on the 10-item Center for Epidemiologic Studies Depression scale. We used a modified Poisson regression to examine the association of changes in depressive symptoms (never, onset, remitted, and persistent) and incident CVD (a composite endpoint of heart disease or stroke) and mortality at wave 3 (2015-2016).

resultsDuring follow-up, 457 CVDs and 148 deaths occurred. Multivariable analyses revealed that persistent depressive symptoms were associated with an elevated risk of CVD (risk ratio = 1.77, 95% confidence interval = 1.38-2.26) and mortality (risk ratio = 1.63, 95% confidence interval = 1.01-2.64) compared with participants without any depressive symptoms. New-onset depressive symptoms increased the mortality risk (risk ratio = 2.37, 95% confidence interval = 1.52-3.69), but not CVD (risk ratio = 1.15, 95% confidence interval = 0.84-1.58). Remitted depressive symptoms were associated with a 35% and 13% excess risk of CVD and mortality, respectively.

conclusionPersistent and remitted depressive symptoms were associated with an increased risk of CVD. New-onset depressive symptoms predicted elevated mortality risk.

Indexed as

Cause of DeathHeart Disease Risk FactorsAgedAged, 80 and overCardiovascular DiseasesChinaDepressionFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedProspective StudiesCardiovascular diseaseDepressive symptomsLongitudinal changeMortality

Identifiers

PMID31588954
PMCPMC8177801

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.