ArticleDiabetes care2013
A novel use of structural equation models to examine factors associated with prediabetes among adults aged 50 years and older: National Health and Nutrition Examination Survey 2001-2006.
Article in Diabetes care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 57 citations in OpenAlex.
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- Using Structural Equation Modeling to Untangle Pathways of Risk Factors Associated with Incident Type 2 Diabetes: the Lifelines Cohort Study.Prevention science : the official journal of the Society for Prevention Research · 2022Article
- Evaluation of the Risk Factors for Type 2 Diabetes Using the Generalized Structure Equation Modeling in Iranian Adults based on Shahedieh Cohort Study.Journal of diabetes and metabolic disorders · 2022Review
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- Socioeconomic and lifestyle determinants of the prevalence of hypertension among elderly individuals in rural southwest China: a structural equation modelling approach.BMC cardiovascular disorders · 2021Article
- Prevalence and Risk Factors of Prediabetes in Young Saudi Females in a University Setting.Ethiopian journal of health sciences · 2020Article
- Factors Associated with Pre-Hypertension Among Tehranian Adults: A Novel Application of Structural Equation Models.International journal of endocrinology and metabolism · 2018Article
- Structural equation modeling to identify the risk factors of diabetes in the adult population of North India.Tropical medicine and health · 2018Article
- A structural equation modeling approach to understanding pathways that connect socioeconomic status and smoking.PloS one · 2018Article
- Childhood Socioeconomic Disadvantage, Occupational, Leisure-Time, and Household Physical Activity, and Diabetes in Adulthood.Journal of physical activity & health · 2017Article
- Factors associated with pre-diabetes in Tehranian men and women: A structural equations modeling.PloS one · 2017Article
- The Role of Assimilating to the US Culture and the Relationship Between Neighborhood Ethnic Composition and Dietary Intake Among Hispanic Youth.Journal of racial and ethnic health disparities · 2016Article
- Comparison of screening scores for diabetes and prediabetes.Diabetes research and clinical practice · 2016Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo use structural modeling to test a hypothesized model of causal pathways related with prediabetes among older adults in the U.S. RESEARCH DESIGN AND
methodsCross-sectional study of 2,230 older adults (≥ 50 years) without diabetes included in the morning fasting sample of the 2001-2006 National Health and Nutrition Examination Surveys. Demographic data included age, income, marital status, race/ethnicity, and education. Behavioral data included physical activity (metabolic equivalent hours per week for vigorous or moderate muscle strengthening, walking/biking, and house/yard work), and poor diet (refined grains, red meat, added sugars, solid fats, and high-fat dairy). Structural-equation modeling was performed to examine the interrelationships among these variables with family history of diabetes, high blood pressure, BMI, large waist (waist circumference: women, ≥ 35 inches; men, ≥ 40 inches), triglycerides ≥ 200 mg/dL, and total and HDL (≥ 60 mg/dL) cholesterol.
resultsAfter dropping BMI and total cholesterol, our best-fit model included three single factors: socioeconomic position (SEP), physical activity, and poor diet. Large waist had the strongest direct effect on prediabetes (0.279), followed by male sex (0.270), SEP (-0.157), high blood pressure (0.122), family history of diabetes (0.070), and age (0.033). Physical activity had direct effects on HDL (0.137), triglycerides (-0.136), high blood pressure (-0.132), and large waist (-0.067); poor diet had direct effects on large waist (0.146) and triglycerides (0.148).
conclusionsOur results confirmed that, while including factors known to be associated with high risk of developing prediabetes, large waist circumference had the strongest direct effect. The direct effect of SEP on prediabetes suggests mediation by some unmeasured factor(s).
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