Demographic variables, anthropometric indices, sleep quality, Metabolic Equivalent Task (MET), and developing diabetes in the southwest of Iran

Bibliographic Data

ID22088589
AuthorsSeyed Ahmad Hosseini (0000-0002-9075-4126, Ahvaz Jundishapur University of Medical Sciences), Samira Beiranvand (0000-0002-8844-6511, Ahvaz Jundishapur University of Medical Sciences), Kourosh Zarea (0000-0001-5124-6025, Ahvaz Jundishapur University of Medical Sciences, corresponding author), Kourosh Noemani (Ahvaz Jundishapur University of Medical Sciences)
Year2023
Volume11
Pages1020112-1020112
Publication date2023-03-14
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1020112
PMID36998281
OpenAlexW4324146004
LanguageEN
References cited47

Propose The present study has sought to investigate the prevalence of diabetes and its related risk factors, to examine the relationship between demographic variables, anthropometric indices, sleep quality, and Metabolic Equivalent Task (MET) with diabetes in Khuzestan province, southwest Iran. Methods The present study has a cross-sectional design (the baseline data of the Hoveyzeh cohort study as a sub-branch of the Persian Prospective Cohort Study). Comprehensive information from 10,009 adults (aged 35–70 years) was collected from May 2016 to August 2018 through a multi-part general questionnaire containing general characteristics, marital status, education, smoking, sleep quality, MET, and anthropometric indices. Data analysis was performed by SPSS software version 19. Results The mean age of the sample was 52.97 ± 8.99 years. 60.3% of the population were women and 67.7% were illiterate. Out of the 10,009 people surveyed, 1,733 stated that they have diabetes (17%). In 1,711 patients (17%) the amount of FBS was ≥126 mg/dl. There is a statistically significant relationship between diabetes and MET. More than 40% had BMI above 30. Anthropometric indices in diabetic and non-diabetic individuals were different. Also, there was a statistically significant difference between the mean duration of sleep and the use of sleeping pills in diabetic and non-diabetic groups ( p < 0.05). Based on logistic regression, marital status [OR = 1.69 (95% CI, 1.24, 2.30)], education level [OR = 1.49 (95% CI, 1.22, 1.83)], MET [OR = 2.30 (95% CI, 2.01, 2.63)], height [OR = 0.99 (95% CI, 0.98, 0.99)], weight [OR = 1.007 (95% CI, 1.006, 1.012)], wrist circumference [OR = 1.10 (95% CI, 1.06, 1.14)], waist circumference [OR = 1.03 (95% CI, 1.02, 1.03)], waist-to-hip ratio [OR = 3.41 (95% CI, 2.70, 4.29)], and BMI [OR = 2.55 (95% CI, 1.53, 4.25)], are good predictors for diabetes. Conclusion The results of this study showed that the prevalence of diabetes in Hoveyzeh city, Khuzestan, Iran, was almost high. and emphasize that preventive interventions should focus on risk factors, especially socioeconomic status, and anthropometric indicators along with lifestyle

Anthropometry · Body mass index · Cognition · Diabetes mellitus · Environmental health · Metabolic equivalent · Physical activity · Physical therapy · Psychiatry · Sleep quality · Chronic Disease Management Strategies · Diabetes, Cardiovascular Risks, and Lipoproteins · Engineering · Health and Well-being Studies · Medicine · Endocrinology · Gerontology · Internal Medicine

Tools

Open DOIOpen Access