ArticleJournal of family medicine and primary care2019
A body shape index in a small sample of Saudi adults with type 2 diabetes.
Article in Journal of family medicine and primary care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Lifestyle in Nursing Students: Physical Activity Level, Diet Quality, Body Composition, and Cardiovascular Risk (ABSI).Healthcare (Basel, Switzerland) · 2025Article
- Sex-Specific Cut-Offs of Seven Adiposity Indicators and Their Performance in Predicting Metabolic Syndrome in Arab Adults.Journal of clinical medicine · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextOverweight and obesity are assessed clinically using the body mass index (BMI), but the index is criticized as a crude measure of relative fat-muscle composition. The recently introduced a body shape index (ABSI) is an independent and more accurate predictor of mortality than other anthropometric measures.
aimsDescribe ABSI in relation to other clinical and cardiometabolic risk factors in Saudi patients with type 2 diabetes. SETTINGS AND
designCross-sectional, armed forces diabetes clinic. MATERIALS AND
methodsDemographic and clinical data were obtained from randomly sampled patients with type 2 diabetes. STATISTICAL ANALYSIS: The t test, analysis of variance, or Chi-square test as appropriate, and contingency table analysis.
resultsThe 120 patients with type 2 diabetes (60 males, 60 females) had a mean (SD) age of 52.5 (9.3) years and BMI of 31.8 (5.5). Comparisons of ABSI and ABSI mortality risk categories with clinical and cardiovascular risk factors were statistically nonsignificant. Patients with below-average BMI (z < 0) (
conclusionThese data provide a baseline assessment useful in further studies using larger datasets to confirm whether the ABSI can prove to be clinically useful and serve as a better predictor of mortality risk in the Saudi population. These local data should be of interest to the primary care practitioner who may be thinking of applying these new measures in their primary care practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.