People who are overweight and/or obese are at risk of insulin resistance and type 2 diabetes. However, research has shown that some overweight and/or obese individuals remain insulin-sensitive and metabolically healthy despite their unhealthy body weight. The investigators hypothesise that overweight and/or obese people who were deemed insulin-sensitive in previous studies will maintain their insulin sensitivity and metabolic health over time. The investigators also hypothesise that the preservation of insulin sensitivity will be accompanied by key metabolic health markers.
While obesity is a risk factor for metabolic disease, sub cohorts with obesity not complicated by the metabolic syndrome have been described. These so called "metabolically healthy obese" may have reduced risk of type 2 diabetes, cardiovascular disease and all-cause mortality compared with individuals with obesity who present with components of the metabolic syndrome. Longitudinal studies with diabetes and cardiovascular disease risk endpoints reported that individuals with obesity who are metabolically healthy (MHO) held an intermediate health status, such that they were still worse off than the healthy normal-weight individuals. While there have been studies evaluating the stability of the MHO phenotype over time, no study has reported the durability of insulin-sensitivity per se, as measured by the gold-standard hyperinsulinaemic-euglycaemic clamp. In the present study, we aimed to trace the change in insulin resistance/sensitivity, and to uncover predictors of insulin resistance in older age. The secondary aims were to trace the change in body composition, fat distribution and metabolic markers over time in a well-phenotyped cohort studied approximately 5-6 years apart.
Study Type
OBSERVATIONAL
Enrollment
57
Dorit Samocha-Bonet
Darlinghurst, New South Wales, Australia
Insulin Sensitivity
The change in insulin sensitivity (as measured by M-value normalised to insulin from hyperinsulinemic-euglycemic clamp) was determined "Follow-up Value - Baseline Value" /"Time between measurements". There were 2 time points 6 years apart
Time frame: 6 years
Body Mass Index
Change in body mass index (BMI) was determined as "Follow-up Value - Baseline Value" /"Time between measurements". There were 2 time points 6 years apart
Time frame: 6 years
Waist Circumference
Change in waist circumference was determined as "Follow-up Value - Baseline Value" /"Time between measurements". There were 2 time points 6 years apart
Time frame: 6 years
Body Fat Mass
Body fat mass from dual-energy X-ray absorptiometry (DXA) change was determined as "Follow-up Value - Baseline Value" /"Time between measurements". There were 2 time points 6 years apart
Time frame: 6 years
Body FFM
Body fat-free mass (FFM) from DXA change was determined as "Follow-up Value - Baseline Value" /"Time between measurements". There were 2 time points 6 years apart
Time frame: 6 years
Visceral Fat Volume
Abdominal visceral fat volume from DXA change was determined as "Follow-up Value - Baseline Value" /"Time between measurements". There were 2 time points 6 years apart
Time frame: 6 years
Systolic Blood Pressure
Change in Systolic Blood Pressure was determined as "Follow-up Value - Baseline Value" /"Time between measurements". There were 2 time points 6 years apart
Time frame: 6 years
Diastolic Blood Pressure
Change in Diastolic Blood Pressure was determined as "Follow-up Value - Baseline Value" /"Time between measurements". There were 2 time points 6 years apart
Time frame: 6 years
Fasting Blood Glucose
Change in fasting blood glucose was determined as "Follow-up Value - Baseline Value" /"Time between measurements". There were 2 time points 6 years apart
Time frame: 6 years
Fasting Serum Insulin
Change in fasting serum insulin was determined as "Follow-up Value - Baseline Value" /"Time between measurements". There were 2 time points 6 years apart
Time frame: 6 years
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