Evidence map›Paper›PMID 37284871›Full record

ArticleSocial psychiatry and psychiatric epidemiology2024

Health trajectories of individuals who quit active religious attendance: analysis of four prospective cohort studies in the United States.

Markus Jokela, Michael Laakasuo

Abstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Markus JokelaDepartment of Psychology and Logopedics, University of Helsinki, Haartmaninkatu 3, 00290, Helsinki, Finland. markus.jokela@helsinki.fi.ORCID http://orcid.org/0000-0003-0117-0012
Michael LaakasuoDepartment of Psychology and Logopedics, University of Helsinki, Haartmaninkatu 3, 00290, Helsinki, Finland.ORCID http://orcid.org/0000-0003-2826-6073

Funding

Academy of Finland 1345186
6 · The paper itself

Abstract

purposeTo examine whether trajectories of health (depressive symptoms, psychological wellbeing, self-rated health, and body mass index) and health behaviors (smoking, heavy alcohol consumption, physical inactivity, and cannabis use) changed for individuals who first reported at least monthly religious attendance and then in subsequent study waves reported no active religious attendance.

methodsData were from four cohort studies from the United States collected between 1996 and 2018: National Longitudinal Survey of 1997 (NLSY1997); National Longitudinal Survey of Young Adults (NLSY-YA); Transition to Adulthood Supplement of the Panel Study of Income Dynamics (PSID-TA); and Health and Retirement Study (HRS) with a total n = 6592 individuals and 37,743 person-observations.

resultsNone of the 10-year trajectories of health or health behaviors changed for the worse after the change from active to inactive religious attendance. Instead, the adverse trends were observed already during the time of active religious attendance.

conclusionThese results suggest that religious disengagement is a correlate-not a cause-of a life course characterized by poorer health and health behaviors. The religious decline caused by people leaving their religion is unlikely to influence population health.

Indexed as

Health BehaviorAdolescentAdultAgedAlcohol DrinkingBody Mass IndexDepressionFemaleHealth StatusHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesReligionSmokingAlcoholHealthLongitudinalReligiosityReligious attendanceSmoking

Identifiers

PMID37284871
PMCPMC11087366

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.