Evidence map›Paper›PMID 36123057›Full record

ArticleBMJ open2022

How do cohabitation and marital status affect mortality risk? Results from a cohort study in Thailand.

Jiaying Zhao, Chi Kin Law, Matthew Kelly, Vasoontara Yiengprugsawan, Sam-Ang Seubsman, Adrian Sleigh

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Jiaying ZhaoSchool of Demography, Australian National University, Canberra, Australian Capital Territory, Australia.
Chi Kin LawNHMRC Clinical Trials Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Matthew KellyDepartment of Global Health, Australian National University, Canberra, Australian Capital Territory, Australia Matthew.Kelly@anu.edu.au.ORCID 0000-0001-7963-2139
Vasoontara YiengprugsawanAustralian Research Council Centre of Excellence on Population Ageing Research, Business School, University of New South Wales, Sydney, New South Wales, Australia.
Sam-Ang SeubsmanSukhothai Thammathirat Open University, Bang Phut, Thailand.
Adrian SleighNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0001-8443-7864
Australian National University · AUAustralian Research Council · AUSukhothai Thammathirat Open University · THThe University of Sydney · AU

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveTo examine the relationship between baseline union status (ie, including marriage and cohabitation) and mortality, paying attention to gender differentials, through an 11-year follow-up of a large cohort in Thailand.

designCohort data from Thai Cohort Study (TCS) were linked official death records over an 11-year follow-up period.

settingCommunity-based adults in Thailand.

participants87 151 Thai adults participated in TCS cohort.

methodCox regression models measured longitudinal associations between union status and 11-year mortality.

resultsFrom 2005 (baseline) to 2016, persons who cohabited and lived with a partner, married persons but not living with a partner and separated/divorced/widowed people were more likely to die compared with those married and living together with a partner. Those who did not have good family support had a higher death risk than those having good family support.Single or cohabiting women had higher risks of mortality than women who were married and living together with a partner throughout follow-up, while separated/divorced/widowed men had higher risks of mortality than counterpart males.

conclusionsOur study reveals the protective effect of marriage and living together on mortality in Thailand, an understudied setting where institutionalisation of cohabitation is low leading to a limited mortality protection. Public policies for moderating mortality should thus be gender nuanced, culturally and institutionally specific. Also, we demonstrate that in settings such as Thailand, where marital status is not always defined in the same way as in western cultures, the need to measure cohabitation in locally relevant terms is important.

Indexed as

Family CharacteristicsMarriageAdultCohort StudiesFemaleHumansMaleMarital StatusThailandEPIDEMIOLOGYPUBLIC HEALTHSOCIAL MEDICINE

Identifiers

PMID36123057
PMCPMC9486337
OpenAlexW4296385042

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.