Evidence map›Paper›PMID 39359440›Full record

ArticleCaspian journal of internal medicine2024

Factors affecting blood sugar changes in diabetic patients using a three-level model in analysis of longitudinal data.

Tahereh Rohani, Karimollah Hajian-Tilaki, Mahmoud Hajiahmadi, Behzad Heidari, Natali Rahimi Rahimabadi, Zahra Geraili

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Article in Caspian journal of internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tahereh RohaniStudent Research Committee, Babol University of Medical Sciences, Babol, Iran.
Karimollah Hajian-TilakiHealth Research Center of Social Determinants, Institute of Health Research, Babol University of Medical Sciences, Babol, Iran.
Mahmoud HajiahmadiDept of Biostatistics and Epidemiology, School of Public Health, Babol University of Medical Sciences, Babol, Iran.
Behzad HeidariDept of Internal Medicine, Ayatollah Rouhani hospital, Babol University of Medical Sciences, Babol, Iran.
Natali Rahimi RahimabadiTonekabon Health Center, Mazandaran University of Medical Sciences, Tonekabon, Iran.
Zahra GerailiStudent Research Committee, Babol University of Medical Sciences, Babol, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes, a currently threatening disease, has severe consequences for individuals' health conditions. The present study aimed to investigate the factors affecting the changes in the longitudinal outcome of blood sugar using a three-level analysis with the presence of missing data in diabetic patients. Methods: A total of 526 diabetic patients were followed longitudinally selected from the annual data collected from the rural population monitored by Tonekabon health centers in the North of Iran during 2018-2019 from the Iranian Integrated Health System (SIB) database. In analyzing this longitudinal data, the three-level model (level 1: observation (time), level 2: subject, level 3: health center) was carried out with multiple imputations of possible missing values in longitudinal data. Results: Results of fitting the three-level model indicated that every unit of change in the body mass index (BMI) significantly increased the fasting blood sugar by an average of 0.5 mg/dl (p=0.024). The impact of level 1 (observations) was insignificant in the three-level model. Still, the random effect of level 3 (healthcare centers) showed a highly significant measure for health centers (14.62, p<0.001). Conclusion: The BMI reduction, the healthcare centers' socioeconomic status, and the health services provided have potential effects in controlling diabetes.

Indexed as

Blood sugar changeBody mass indexDiabetic patientsHealth care centersLongitudinal dataMissing data imputationThree-level model

Identifiers

PMID39359440
PMCPMC11444103

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