Evidence map›Paper›PMID 31348623›Full record

ArticleAnnals of global health2019

Prevalence of Prediabetes, Diabetes and Its Predictors among Females in Alkharj, Saudi Arabia: A Cross-Sectional Study.

Jamaan M Al-Zahrani, Abdulrahman Aldiab, Khaled K Aldossari, Sameer Al-Ghamdi, Mohammed Ali Batais, Sundas Javad, Shanila Nooruddin, Nida Zahid, Hira Abdul Razzak, Ashraf El-Metwally

Open access · goldAbstract read
In one paragraph

Article in Annals of global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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  8. A systematic review of obesity burden in Saudi Arabia: Prevalence and associated co-morbidities.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
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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 6 institutions in 3 countries.

Jamaan M Al-ZahraniFamily Medicine Department, College of Medicine, Prince Sattam Bin Abdulaziz University, Al-Kharj, SA.
Abdulrahman AldiabInternal Medicine Department, College of Medicine, King Saud University, Riyadh, SA.
Khaled K AldossariFamily Medicine Department, College of Medicine, Prince Sattam Bin Abdulaziz University, Al-Kharj, SA.
Sameer Al-GhamdiFamily Medicine Department, College of Medicine, Prince Sattam Bin Abdulaziz University, Al-Kharj, SA.
Mohammed Ali BataisCollege of Medicine, King Saud University, Riyadh, SA.
Sundas JavadCollege of Public Health and Health Informatics, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SA.
Shanila NooruddinDow University of Health Sciences, Karachi, PK.
Nida ZahidAga Khan University Hospital, Karachi, PK.
Hira Abdul RazzakMinistry of Health and Prevention, Dubai, AE.
Ashraf El-MetwallyCollege of Public Health and Health Informatics, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SA.
Prince Sattam Bin Abdulaziz University · SAKing Saud bin Abdulaziz University for Health Sciences · SAKing Saud University · SAAga Khan University Hospital · PKDow University of Health Sciences · PKMinistry of Health · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectiveThe prevalence of prediabetes and diabetes is reaching epidemic proportions across the globe. Therefore, this study aims to determine the prevalence of prediabetes and diabetes, together with its accompanying risk factors, among young females.

methodsAn exploratory cross-sectional survey was conducted with 638 Saudi females in Alkharj, Saudi Arabia. Statistical analysis was carried out using STATA version 14. Odds ratios for the risk of diabetes and associated factors were calculated using log-binomial and multinomial logistic regression. Standardized prevalence and strata-specific prevalence of diabetes and prediabetes for different risk factors were also calculated.

findingsThe study revealed that nondiabetics and prediabetics were more prevalent between the ages of 18 and 24 years, while diabetic patients were consistently between 25 to 44 years of age. The average value for HbA1c in females was 5.44. Regression analysis shows that being older, married, obese, a smoker or less educated significantly increases the risk for both prediabetes and diabetes. Mutivariable analysis revealed obesity had a significant association with both prediabetes and diabetes. Prediabetics were 2.35 times more likely to be obese as compared to nondiabetics, with 95% CI (1.38-3.99). Similarly, diabetics were 6.67 times more likely to be obese compared to nondiabetics 95% CI (1.68-26.42).

conclusionOur study shows the prevalence of diabetes and prediabetes among females from Al Kharj was 3.8% and 18.8%, respectively. The diabetic and prediabetic female participants had higher mean BMI and waist circumference, were older in age, were married, and smoked as compared to nondiabetics. In the context of the findings of our study, and keeping in view the the burden of this disease globally and in our population, it has now become extremely important to understand these factors and encourage health-promoting behaviors to construct effective interventions.

Indexed as

AdolescentAdultAge FactorsBody Mass IndexCross-Sectional StudiesDiabetes MellitusFemaleGlycated HemoglobinHumansMarital StatusMiddle AgedObesityPrediabetic StatePrevalenceRisk FactorsSaudi ArabiaGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID31348623
PMCPMC6659578
OpenAlexW2963654549

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.