Evidence map›Paper›PMID 32341670›Full record

ArticleClinical medicine insights. Endocrinology and diabetes2020

Predicting Healthy Lifestyle Behaviours Among Patients With Type 2 Diabetes in Rural Bali, Indonesia.

Nice Maylani Asril, Keiji Tabuchi, Miwako Tsunematsu, Toshio Kobayashi, Masayuki Kakehashi

Abstract read
In one paragraph

Article in Clinical medicine insights. Endocrinology and diabetes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

5 authors.

Nice Maylani AsrilDepartment of Health Informatics, Graduate School of Biomedical and Health Science, Hiroshima University, Hiroshima, Japan.ORCID https://orcid.org/0000-0003-4651-6005
Keiji TabuchiDepartment of Health Promotion and Development Science, Graduate School of Biomedical and Health Science, Hiroshima University, Hiroshima, Japan.ORCID https://orcid.org/0000-0002-6527-442X
Miwako TsunematsuDepartment of Health Informatics, Graduate School of Biomedical and Health Science, Hiroshima University, Hiroshima, Japan.
Toshio KobayashiDepartment of General Internal Medicine, Ishii Memorial Hospital, Yamaguchi, Japan.
Masayuki KakehashiDepartment of Health Informatics, Graduate School of Biomedical and Health Science, Hiroshima University, Hiroshima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes is a lifelong metabolic disease closely related to unhealthy lifestyle behaviours. This study aimed to identify factors explaining the healthy lifestyle behaviours of patients with type 2 diabetes in rural Indonesia. The extended health belief model, demographic characteristics, clinical lifestyle factors and diabetes knowledge were investigated to provide a complete description of these behaviours.

methodA sample of 203 patients with type 2 diabetes representing a cross-section of the population were recruited from community health centres in the rural areas of Bali province. The data were collected through questionnaires. Descriptive statistics and a hierarchical regression test were employed.

resultsThis study showed demographic characteristics, clinical and lifestyle factors, diabetes knowledge and the extended health belief model accounted for 71.8% of the variance in healthy lifestyle behaviours of patients with type 2 diabetes in rural Indonesia. The significant demographic factors were age, education level, employment status and traditional beliefs. The significant clinical and lifestyle factors were alcohol use, diabetic medicine and duration of symptoms. Finally, the significant extended health belief model factors were perceived severity, susceptibility, barriers, family support, bonding social capital and chance locus of control.

conclusionsThe extended health belief model forms an adequate model for predicting healthy lifestyle behaviours among patients with diabetes in rural Indonesia. The contribution of this model should be strengthened in developing the diabetes management.

Indexed as

clinical and lifestyle factorsdemographic characteristicsDiabetesdiabetes knowledgediabetes managementextended health belief modelhealthy lifestyle behaviourIndonesia

Identifiers

PMID32341670
PMCPMC7171987

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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.