Evidence map›Paper›PMID 38375173›Full record

ArticlePreventive medicine reports2024

Lifestyle and clinical risk factors in relation with the prevalence of diabetes in the Indonesian urban and rural populations: The 2018 Indonesian Basic Health Survey.

Farid Kurniawan, Fathimah S Sigit, Stella Trompet, Em Yunir, Tri Juli E Tarigan, Dante S Harbuwono, Pradana Soewondo, Dicky L Tahapary, Renée de Mutsert

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

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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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Farid KurniawanDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Fathimah S SigitMetabolic Disorder, Cardiovascular, and Aging Research Cluster, The Indonesian Medical Educational and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Stella TrompetDepartment of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
Em YunirDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Tri Juli E TariganDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Dante S HarbuwonoDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Pradana SoewondoDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Dicky L TahaparyDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital/Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Renée de MutsertDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To investigate the differences between Indonesian urban and rural populations in the association of lifestyle and clinical factors with diabetes prevalence. Methods: Using database of the 2018 Indonesian Basic Health Survey, which was conducted in April-May 2018, non-pregnant respondents aged ≥15 years old with available blood glucose data (n urban = 17,129, n rural = 16,585) were included in this study. The diagnosis of diabetes was based on the combination of known diabetes, i.e., a previous history of diabetes or use of anti-diabetes medication, and unknown diabetes based on blood glucose criteria. We performed logistic regression analyses separately for the urban and rural populations to examine the association of lifestyle and clinical factors with prevalent diabetes. Results: Indonesian urban population was less physically active, had a lower proportion of adequate fruit and vegetable intake, and had higher individuals with obesity than rural population. Although there were no differences in the total prevalence of diabetes between the two populations (10.9 % vs. 11.0 %, for urban and rural, respectively), the prevalence of known diabetes was twice higher in urban than in rural population (3.8 % vs. 1.9 %). Physical activity was associated with lower risk of diabetes, especially in the urban population [prevalence OR (95 %CI): 0.91 (0.85; 0.98) for urban and 0.94 (0.89; 1.00) for rural). Obesity, hypertension, and dyslipidemia were risk factors for prevalent diabetes in both populations. Conclusions: Indonesian rural population showed relatively better lifestyle and clinical profiles compared to their urban counterparts. However, no differences were observed between the two populations in the relation between risk factors and diabetes. Special attention needs to be addressed to the high prevalence of undiagnosed and untreated diabetes in Indonesia.

Indexed as

Clinical factorsDiabetesIndonesiaLifestyle factorsUrbanizationUrban/rural

Identifiers

PMID38375173
PMCPMC10874845

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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.