Evidence map›Paper›PMID 39388408›Full record

ArticlePloS one2024

Socioeconomic inequalities associated with Geriatric syndrome in Thailand: The results of Fifth National Health Examination Survey.

Supakorn Sripaew, Sawitri Assanangkornchai, Jiraluck Nontarak, Suwat Chariyalertsak, Pattapong Kessomboon, Surasak Taneepanichskul, Nareemarn Neelapaichit, Wichai Aekplakorn

Abstract read
In one paragraph

Article in PloS one, 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
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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

8 authors.

Supakorn SripaewDepartment of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID 0000-0002-1676-4991
Sawitri AssanangkornchaiDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID 0000-0003-2174-3287
Jiraluck NontarakDepartment of Epidemiology, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Suwat ChariyalertsakFaculty of Public Health, Chiang Mai University, Chiang Mai, Thailand.
Pattapong KessomboonFaculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Surasak TaneepanichskulCollege of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Nareemarn NeelapaichitRamathibodi School of Nursing, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Wichai AekplakornDepartment of Community Medicine, Ramathibodi Hospital Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geriatric syndrome (GS) is the prevalence of a group of phenotypes in older people. Functional decline, cognitive impairment, and frailty are common phenotypes that burden individuals, families, and the healthcare system. Policies targeting GS require information on socioeconomic background of older people, which is scarce in Thailand. We investigated socioeconomic inequality associated with GS using the concentration index and further explained the contributions of socioeconomic status and sociodemographic variables to inequality. Nationally representative data of 7,365 individuals aged 60 years and above from the 5th National Health Examination Survey of 2013 were analyzed. The survey used a physical examination, blood test, and questionnaire interviews to elicit personal information, health status, and household assets. The wealth index was used as the main indicator of socioeconomic status, and participants with missing wealth index data were excluded. Three GS phenotypes-frailty, functional impairment (FI) and neurocognitive dysfunction (NCD)-were included. An indirectly standardized concentration index (Cis) and a 95% confidence interval were used to represent the horizontal equity of the three phenotypes. Contributions to the concentration index (CC)-contribution to a more or less equitable GS distribution-were decomposed and shown in terms of percentage and direction. All GS phenotypes were found to be concentrated in the elderly poor (Cis of FI, frailty, and NCD = -0.068, -0.092, and -0.182, respectively). Work status contributes to a more equitable GS distribution in all the phenotypes (%CC in FI, frailty, and NCD = -1.7%, -5.1%, and -2.0%, respectively), whereas types of insurance schemes made bidirectional contributions to the equity of GS. Policies should be adopted to help prevent GS among poor individuals, provide them with an equal opportunity of access to health schemes and ensure opportunities for older Thai individuals to work.

Indexed as

Socioeconomic FactorsAgedAged, 80 and overFemaleFrailtyHealth SurveysHumansMaleMiddle AgedPrevalenceSocial ClassThailand

Identifiers

PMID39388408
PMCPMC11469603

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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.