Evidence map›Paper›PMID 36078289›Full record

Trial reportInternational journal of environmental research and public health2022

Depression and Associated Factors among Community-Dwelling Thai Older Adults in Northern Thailand: The Relationship between History of Fall and Geriatric Depression.

Thin Nyein Nyein Aung, Saiyud Moolphate, Yuka Koyanagi, Chaisiri Angkurawaranon, Siripen Supakankunti, Motoyuki Yuasa, Myo Nyein Aung

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 17 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

7 authors at 5 institutions in 2 countries.

Thin Nyein Nyein AungDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-8030-8026
Saiyud MoolphateDepartment of Public Health, Faculty of Science and Technology, Chiang Mai Rajabhat University, Chiang Mai 50300, Thailand.
Yuka KoyanagiDepartment of Medical and Health Science, Tokyo Ariake University, Tokyo 135-0063, Japan.
Chaisiri AngkurawaranonDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0003-4206-9164
Siripen SupakankuntiCentre of Excellence for Health Economics, Faculty of Economics, Chulalongkorn University, Bangkok 10330, Thailand.
Motoyuki YuasaDepartment of Global Health Research, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan.ORCID 0000-0003-2132-7275
Myo Nyein AungDepartment of Global Health Research, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan.ORCID 0000-0001-8175-6309
Chiang Mai University · THJuntendo University · JPChiang Mai Rajabhat University · THChulalongkorn University · THTokyo Ariake University of Medical and Health Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, population aging is happening more quickly than in the past, and Thailand ranks the world's number three among the rapidly aging countries. Age-related decline in physical and mental health would impact depression among older adults. We aimed to determine the depression among the community-dwelling Thai older adults in Chiang Mai, Thailand.

methodsThe baseline data, collected by door-to-door household visits of an intervention arm from a cluster randomized controlled trial (Community-Integrated Intermediary Care (CIIC): TCTR20190412004), were included in this cross-sectional study. Descriptive analysis and binary logistic regression were applied.

resultsThe mean age was 69.31 ± 7.10 years and 23.8% of study participants were older than 75 years. The Thai geriatric depression scale showed 6.5% had depression. Adjusted risk factors for depression were older age, being single, drinking alcohol daily, having diabetes, having experience of a fall last year, self-rated health as neutral, poor/very poor, and moderate/severe dependency by ADL scoring.

conclusionOur findings highlighted the potentially modifiable risk factors in addition to the common predictors affecting depression among community-dwelling older adults. Fall prevention programs and public health interventions to prevent diabetes are recommended. Furthermore, self-rated health and Barthel's ADL scoring would be simple tools to predict risk factors for geriatric depression.

Indexed as

DepressionIndependent LivingAgedCross-Sectional StudiesGeriatric AssessmentHumansMiddle AgedThailandagingcommunity-integrated intermediary care (CIIC)fallgeriatric depressionolder adultThailand

Identifiers

PMID36078289
PMCPMC9518436
OpenAlexW4293103715

What OpenQuestion holds

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LicenceCC BY
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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.