Metabolic and Lifestyle Risk Factors

How it works

Risks & contraindications

Evidence quality

Highlighted claims

• Overweight and obesity disrupt adipokine signalling and promote systemic inflammation, directly impairing insulin sensitivity. — Prevalence and factors associated with pre-diabetes and undiagnosed diabetes in Cambodia: cross-sectional study based on the World Health Survey Plus 2023
• Elevated triglycerides are mechanistically linked to insulin resistance, the central driver of pre-diabetes and type 2 diabetes. — Prevalence and factors associated with pre-diabetes and undiagnosed diabetes in Cambodia: cross-sectional study based on the World Health Survey Plus 2023
• Urban residence was associated with increased odds of both pre-diabetes and undiagnosed diabetes, likely through dietary shifts and sedentary patterns. — Prevalence and factors associated with pre-diabetes and undiagnosed diabetes in Cambodia: cross-sectional study based on the World Health Survey Plus 2023
• Physical inactivity, low fruit and vegetable intake, alcohol use, and tobacco use did not reach statistical significance in the multivariable analysis. — Prevalence and factors associated with pre-diabetes and undiagnosed diabetes in Cambodia: cross-sectional study based on the World Health Survey Plus 2023
• Aging reduces insulin sensitivity and impairs pancreatic beta-cell function, progressively raising blood glucose. — Prevalence and factors associated with pre-diabetes and undiagnosed diabetes in Cambodia: cross-sectional study based on the World Health Survey Plus 2023
• The absence of significant lifestyle associations is attributed to recall bias in self-reported data and the cross-sectional design's inability to capture cumulative long-term exposure. — Prevalence and factors associated with pre-diabetes and undiagnosed diabetes in Cambodia: cross-sectional study based on the World Health Survey Plus 2023