The Interaction Between Age and Risk Factors for Diabetes and Prediabetes: A Community-Based Cross-Sectional Study

Abstract

Objective This study aimed to investigate the interaction between age groups and risk factors for diabetes and prediabetes in Shanghai communities and to identify the effect of age on other risk factors for diabetes and prediabetes. Methods This study recruited 3540 participants with undiagnosed diabetes or prediabetes in 14 communities in Shanghai from February to August 2019. All participants underwent a comprehensive examination, including filling out a detailed questionnaire, physical examination, 75 g oral glucose tolerance test, and blood sample collection. In addition, logistic regression was used to analyze the interaction between age and risk factors for prediabetes and diabetes. Results The statistical analysis included 2776 people. In this study, the prevalence of diabetes and prediabetes were 15.1% and 52.3%, respectively. The prevalence of diabetes and prediabetes is higher in the elderly than in the middle-aged group. Among the risk factors for diabetes, overweight was associated with higher age ( P -interaction 0.028). In addition, among the risk factors for prediabetes, a high level of education was associated with higher age ( P -interaction 0.039) and elevated serum cholesterol level was associated with lower age ( P -interaction 0.019). Conclusion This study confirmed an interaction between age and other influencing factors, which may be important in explaining differences in risk factors for diabetes and prediabetes in the middle-aged and elderly populations. Community health facilities can provide health guidance to people of different age groups to prevent and control prediabetes and diabetes.

Factors Associated with Non-Communicable Diseases Among Government Employees Working in Makwanpur District of Nepal: A Cross-Sectional Study

“…The age group was separated into four categories, with those aged 50 years and older having the highest chance of developing all three NCDs. Similar ndings have been reported in China (20) and Nepal (9,19), which are consistent with the present results. Nepal must make NCD prevention and management a top priority due to the country's increasing aging population and the increasing burden of NCDs.…”

Associations between Diabetes Self-Management and Microvascular Complications Among Patients Living in Rural Areas, in Kenya

“…It was observed that patients who were older than sixty-one years were more likely to have Neuropathy, Retinopathy compared to those who were younger (p<0.05). This finding is consistent with other studies that have shown age is an important factor that affects the increased risk of prediabetes and diabetes (30). Additionally, microvascular events occur more commonly in populations with diabetes and the risk of these events are predominantly related to duration of diabetes(31).…”

Machine Learning-Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals

“…While traditionally associated with conditions like gout, our findings suggest a potential link between uric acid levels and hyperglycemia, urging further exploration into the underlying physiological mechanisms. The identification of age as a key predictor aligns with existing knowledge regarding the age-associated risk of hyperglycemia [40–42]. Our findings reinforce the significance of age as a robust indicator, reflecting the cumulative impact of aging processes on metabolic health and glucose regulation.…”

“…While traditionally associated with conditions like gout, our findings suggest a potential link between uric acid levels and hyperglycemia, urging further exploration into the underlying physiological mechanisms. The identification of age as a key predictor aligns with existing knowledge regarding the age-associated risk of hyperglycemia [40][41][42]…”