Evidence map›Paper›PMID 33023540›Full record

ArticleBMC public health2020

Urban-rural distinction of potential determinants for prediabetes in Indonesian population aged ≥15 years: a cross-sectional analysis of Indonesian Basic Health Research 2018 among normoglycemic and prediabetic individuals.

Frans Dany, Rita Marleta Dewi, Dwi Hapsari Tjandrarini, Julianty Pradono, Delima Delima, Kambang Sariadji, Sarwo Handayani, Nunik Kusumawardani

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  5. Postpartum Depression in Young Mothers in Urban and Rural Indonesia.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023
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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.

Frans DanyCentre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta Pusat, Jakarta, Indonesia. fransdany1@gmail.com.ORCID http://orcid.org/0000-0003-1412-5894
Rita Marleta DewiCentre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta Pusat, Jakarta, Indonesia.
Dwi Hapsari TjandrariniCentre for Research and Development of Public Health Efforts, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta Pusat, Jakarta, Indonesia.
Julianty PradonoCentre for Research and Development of Public Health Efforts, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta Pusat, Jakarta, Indonesia.
Delima DelimaCentre for Research and Development of Health Resources and Services, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta Pusat, Jakarta, Indonesia.
Kambang SariadjiCentre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta Pusat, Jakarta, Indonesia.
Sarwo HandayaniCentre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta Pusat, Jakarta, Indonesia.
Nunik KusumawardaniCentre for Research and Development of Public Health Efforts, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta Pusat, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBased on Basic Health Research (RISKESDAS) conducted by Ministry of Health, Indonesia, prediabetes prevalence tends to increase from 2007 until 2018. The numbers are relatively higher in rural than those in urban area despite of small discrepancies between the two (~ 2-4%). The purpose of this study was to identify urban-rural differences in potential determinants for prediabetes in Indonesia.

methodsThis analysis used secondary data collected from nationwide Health Survey in 2018. Respondents were aged ≥15 years who met inclusion criteria of analysis with no history of diabetes mellitus. Prediabetes criteria followed American Diabetes Association 2019. Multiple logistic regression was also employed to assess the transition probability of potential determinants for prediabetes in urban and rural Indonesia.

resultsUp to 44.8% of rural respondents were prediabetics versus their urban counterparts at 34.9%, yet non-response bias was observed in the two. Young adults aged 30 years were already at risk of prediabetes. Urban-rural distinction for marital status and triglyceride level was observed while other determinants tended to overlap across residence. Several modifiable factors might contribute differently in both population with careful interpretation.

conclusionsThe minimum age limit for early prediabetes screening may start from 30 years old in Indonesia. Urban-rural distinction for marital status and triglyceride level was observed, yet non-response bias between the two groups could not be excluded. A proper model for early prediabetes screening need to be developed from a cohort study with adequate sample size.

Indexed as

AdolescentAdultAgedCross-Sectional StudiesFemaleHealth SurveysHumansIndonesiaLogistic ModelsMaleMarital StatusMiddle AgedPrediabetic StatePrevalenceRural PopulationTriglyceridesTriglyceridesDeterminantsIndonesiaPrediabetesRuralUrban

Identifiers

PMID33023540
PMCPMC7539503

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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.