Evidence map›Paper›PMID 38140745›Full record

ArticleJournal of primary care & community health

Effect Modification by Age and Gender in the Correlation Between Diabetes Mellitus, Hypertension, and Obesity.

Ashraf El-Metwally, Faris Fatani, Nouf Binhowaimel, Badr F Al Khateeb, Hanan M Al Kadri, Awad Alshahrani, Aljohrah I Aldubikhi, Mona I Bin Amer, Abdulrahman Almuflih, Abdulaziz S Alangari

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Article in Journal of primary care & community health. 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
2.4field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Obesity, incretin-based therapies, and cardiovascular disease in women.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2026
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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

10 authors at 2 institutions in 1 country.

Ashraf El-MetwallyCollege of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Faris FataniRiyadh Second Health Cluster, Riyadh, Saudi Arabia.
Nouf BinhowaimelRiyadh Second Health Cluster, Riyadh, Saudi Arabia.
Badr F Al KhateebCollege of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Hanan M Al KadriCollege of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Awad AlshahraniKing Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Aljohrah I AldubikhiSaudi Electronic University, Riyadh, Saudi Arabia.
Mona I Bin AmerRiyadh Second Health Cluster, Riyadh, Saudi Arabia.
Abdulrahman AlmuflihRiyadh Second Health Cluster, Riyadh, Saudi Arabia.
Abdulaziz S AlangariCollege of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.ORCID 0000-0002-0972-7009
King Saud bin Abdulaziz University for Health Sciences · SASaudi Electronic University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiterature has reported differences in the epidemiology or natural history of non-communicable diseases among both the male and female sexes. Stratification of multimorbidity burden based on sex is crucial to identify and implement targeted prevention and control interventions for chronic diseases.

objectivesTo determine the burden of hypertension, type-2 diabetes mellitus, and obesity; and to compare the related multimorbidity among male and female patients.

methodsThe study was a retrospective analysis of 375 802 medical records from primary care centers. Data was extracted from March 2022 to March 2023. A multivariate probit estimation methodology was employed using a 3-equations multivariate multiple probit model to jointly estimate the association of a person's sex with the diagnosis of the 3 chronic conditions: obesity, diabetes, and hypertension. A multinomial logistic regression analysis was conducted to allow each unique combination of these 3 chronic diseases.

resultsFemales had a relatively higher proportion of obesity (58.1% vs 41.2%), obesity and diabetes only (58.9% vs 41.1%), obesity and hypertension (63.6% vs 36.4%), and joint diagnosis with 3 conditions (65.7% vs 34.3%). Females' participants consistently had a significantly higher likelihood of diagnosis compared with males except for diabetes (OR = 0.59, 95% CI: 0.56-0.62) and the combination of only diabetes and hypertension (OR = 0.67, 95% CI: 0.61-0.74). The likelihood of other combinations ranged from 1.04 (95% CI: 0.98-1.10) for only hypertension to 2.30 (95% CI: 2.10-2.53) for the joint diagnosis of all 3 conditions. An increased likelihood of a single or combined occurrence of 3 chronic conditions was observed with increased age.

conclusionThe multimorbidity distribution for diabetes mellitus, hypertension, and obesity differs significantly among male and female patients. The overall burden of morbidity, and mortality, however, tends to rise after 46 years of age, with the highest burden among individuals above 60 years of age.

Indexed as

Diabetes MellitusDiabetes Mellitus, Type 2HypertensionChronic DiseaseFemaleHumansMaleMiddle AgedObesityPrevalenceRetrospective Studiesdiabetes mellitusepidemiologyhypertensionobesityprimary healthcare

Identifiers

PMID38140745
OpenAlexW4390148140

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.