Evidence map›Paper›PMID 37293325›Full record

ArticleJournal of happiness studies2023

Happiness in Old Age: The Daughter Connection.

Pataporn Sukontamarn, M Niaz Asadullah, Nopphawan Photphisutthiphong, Yen Thi Hai Nguyen

Open access · hybridAbstract read
In one paragraph

Article in Journal of happiness studies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 10 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

4 authors at 3 institutions in 3 countries.

Pataporn SukontamarnCollege of Population Studies, Chulalongkorn University, Bangkok, Thailand.
M Niaz AsadullahFaculty of Business and Economics, University of Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0001-8047-5548
Nopphawan PhotphisutthiphongCollege of Population Studies, Chulalongkorn University, Bangkok, Thailand.
Yen Thi Hai NguyenCollege of Population Studies, Chulalongkorn University, Bangkok, Thailand.
Chulalongkorn University · THAustrian Academy of Sciences · ATMonash University Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Family and intergenerational relationships are becoming increasingly important as sources of support and care for the elderly population in rapidly ageing Asian societies. However, this has also raised concerns over reinforcement of cultural preference for sons as a source of old-age security. This paper therefore revisits the question-what determines happiness in old age-by investigating the role of adult children's gender in the context of Thailand, an ageing Asian country with no legacy of sex-preference in fertility. We employ nationally representative data to examine the association between old-age happiness and presence of a co-residing child. Compared to living alone, living with at least one child is found to positively associate with older persons' happiness. However, this result is specific to daughters. Moreover, compared to older men, women systematically benefit from a "daughter effect". Co-residing daughters with university education and those who maintain a good relationship with their parents help explain the positive happiness effect on older persons. Co-residing daughters are also positively linked to  reduced loneliness; improved self-rated health; and improved economic conditions of older parents. Our findings suggest that policies that increase human capital of the girl child and enhance family solidarity are likely to have long term intergenerational wellbeing benefits.

Indexed as

AgeingHappinessOlder personSon biasThailand

Identifiers

PMID37293325
PMCPMC10139918
OpenAlexW4367318467

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.