Body mass index impact on health care utilization among people with diabetes in Jeddah, Saudi Arabia
Bibliographic Data
| ID | 22069600 |
|---|---|
| Authors | Saleh Khateeb (Soliman Fakeeh Hospital, corresponding author), Adhari A Alselmi (Soliman Fakeeh Hospital), Taif Alharbi (Soliman Fakeeh Hospital), Judy Abbas (Soliman Fakeeh Hospital), Rana Z Flimban (Fakeeh College for Medical Sciences), Rana Flimban (Soliman Fakeeh Hospital), Maysaa Ageel (Soliman Fakeeh Hospital), Mai A Khatib (0000-0002-9994-8250, King Abdulaziz University), Hala Ehab Khashoggi (King Fahad Hospital Jeddah), Sarah M Hussein (0000-0003-1405-7537, Fakeeh College for Medical Sciences), Shamiza Hussein (Suez Canal University) |
| Year | 2026 |
| Volume | 14 |
| Pages | 1731286-1731286 |
| Publication date | 2026-03-23 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2026.1731286 |
| PMID | 41948015 |
| OpenAlex | W7140141213 |
| Language | EN |
| References cited | 29 |
Background: Diabetes mellitus and obesity represent public health challenges, with implications for healthcare utilization. While obesity increases the risk of diabetes and related comorbidities, its impact on healthcare service use among diabetic patients in the Saudi context remains underexplored. Objectives: Our study aimed to examine the associations between BMI categories and patterns of healthcare utilization among People with diabetes. Methods: A cross-sectional analysis was conducted in 2024 using medical records from DSFH, Jeddah, Saudi Arabia, including 125,660 People with diabetes. Descriptive statistics summarized demographic, anthropometric, and utilization characteristics. Associations between BMI categories and demographic/utilization variables were assessed using chi-square tests. Multivariable logistic regression models estimated odds ratios (ORs) and 95% confidence intervals (CIs) for healthcare utilization across BMI categories. Results: < 0.001). Regression models revealed that overweight [OR = 1.43, 95% CI (1.37, 1.50)] and obese patients [OR = 1.83, 95% CI (1.75, 1.91)] utilized more outpatient services. In contrast, underweight patients had significantly higher odds of inpatient admissions [OR = 2.14, 95% CI (1.84, 2.48)]. Insurance was associated with increased outpatient and emergency utilization. Conclusion: BMI and demographic factors are significant predictors of healthcare utilization among People with diabetes
Body mass index · Health care · Logistic regression · Obesity · Odds · Odds ratio · Overweight · Underweight · Chronic Disease Management Strategies · Diabetes, Cardiovascular Risks, and Lipoproteins · Mobile Health and mHealth Applications
| Highly cited | No |
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