Evidence map›Paper›PMID 38342899›Full record

ArticleBMC geriatrics2024

Association between Internet use and depressive symptoms among older adults in two regions of Myanmar: a cross-sectional study.

Yuri Sasaki, Yugo Shobugawa, Ikuma Nozaki, Daisuke Takagi, Yuiko Nagamine, Yuki Shirakura, Kay Thi Lwin, Poe Ei Zin, Thae Zarchi Bo, Tomofumi Sone and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.4field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 2 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

11 authors at 6 institutions in 2 countries.

Yuri SasakiDepartment of Public Health Policy, National Institute of Public Health, Wako City, 351-0197, Japan. sasaki.y.aa@niph.go.jp.
Yugo ShobugawaNiigata University Graduate School of Medical and Dental Sciences, Niigata City, 951-8510, Japan.
Ikuma NozakiNational Center for Global Health and Medicine, Bureau of International Health Cooperation, Tokyo, 162-8655, Japan.
Daisuke TakagiDepartment of Health and Social Behavior, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan.
Yuiko NagamineDepartment of Global Health Promotion, Tokyo Medical and Dental University, Tokyo, 113-8510, Japan.
Yuki ShirakuraNiigata University Graduate School of Medical and Dental Sciences, Niigata City, 951-8510, Japan.
Kay Thi LwinDepartment of Preventive and Social Medicine, University of Medicine 1, Yangon, 245, Myanmar.
Poe Ei ZinDepartment of Preventive and Social Medicine, University of Medicine 1, Yangon, 245, Myanmar.
Thae Zarchi BoDepartment of Preventive and Social Medicine, University of Medicine 1, Yangon, 245, Myanmar.
Tomofumi SoneNational Institute of Public Health, Wako City, 351-0197, Japan.
Hla Hla WinDepartment of Preventive and Social Medicine, University of Medicine 1, Yangon, 245, Myanmar.
University Of Medicine 1 Yangon · MMNational Institute of Public Health · JPNiigata University · JPNational Center for Global Health and Medicine · JPThe University of Tokyo · JPTokyo Medical and Dental University · JP

Funding

Grants in aid for Health and Labor Administration Promotion Research Project 20BA2002Grants in aid of Scientific Research from the Japan Society for the Promotion of Science 19K19472Grants in aid of Scientific Research from the Japan Society for the Promotion of Science 21K18453Japan Agency for Medical Research and Development 17984739World Health Organization Kobe Centre for Health Development WHO Kobe Centre-WKC: K18015
6 · The paper itself

Abstract

backgroundInternet use has both positive and negative effects on mental health. However, few studies have examined the association between internet use and mental health among older adults in developing countries. This study aimed to investigate the association between Internet use and depressive symptoms among older adults in two regions of Myanmar.

methodsData based on a visit to 1,200 older adults in urban and rural Myanmar were obtained through stratified random sampling using the cross-sectional baseline survey of the longitudinal study titled "Healthy and Active Aging in Myanmar." Our analysis included 1,186 participants. The dependent variable was depressive symptoms, and the 15-item version of the Geriatric Depression Scale (GDS) was used as a continuous variable; the higher the score, the more likely a person was to be depressed. Internet use (one of the questions about household property ownership) was used as an independent variable. After confirming the absence of multicollinearity, we adjusted for age, gender, educational background, activities of daily living, residential area, and frequency of meeting friends, and stratified by subjective economic status (above or below average). We also examined the interaction between internet use and subjective economic status. A linear regression analysis was performed.

resultsAmong the 1,186 participants included in the analysis (women: 59.5%; median age: 68 years old), 202 (17.0%) were Internet users (95% Confidential Interval [CI]: 0.15, 0.19), and they had significantly lower GDS scores than the participants who did not use the Internet (B: -1.59, 95% CI: -2.04, -1.13).GDS showed a negative association with Internet use even in the multivariate analysis (B: -0.95, 95% CI: -1.41, -0.50). However, the interaction term for GDS between Internet use and subjective economic status was not significantly associated (B: 0.43, 95% CI: -1.11, 1.98).

conclusionsInternet use and depressive symptoms were associated especially among the older adults. However, there were no significant interaction between Internet use and subjective economic status for GDS.

Indexed as

Activities of Daily LivingDepressionAgedCross-Sectional StudiesFemaleHumansInternet UseLongitudinal StudiesMyanmarDepressive symptomsGeriatric depression scale (GDS)Internet useMyanmarSubjective economic status

Identifiers

PMID38342899
PMCPMC10860261
OpenAlexW4391885894

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.