Contrasting impact of rural, versus urban, living on glucose metabolism and blood pressure in Uganda.
Richard E SanyaIrene Andia BiraroMargaret NampijjaChristopher ZziwaCarol NanyunjaDenis NsubugaSamuel KiwanukaJosephine TumusiimeJacent NassuunaBridgious WalusimbiStephen CosePonsiano OcamaRichard K GrencisAlison M ElliottEmily L WebbPublished in: Wellcome open research (2020)
Background: The burden of cardiometabolic diseases, including cardiovascular diseases and diabetes, is increasing in sub-Saharan Africa and this has been linked to urbanisation. Helminths, through their immunomodulatory properties, may protect against these disorders. We hypothesised that the rural environment protects against cardiometabolic diseases and that helminths may influence rural-urban disparity of cardiometabolic disease risk. Methods: We compared metabolic parameters of individuals aged ≥10 years living in rural, high-helminth-transmission and urban, lower-helminth-transmission settings in Uganda. Cross-sectional surveys were conducted in rural Lake Victoria island fishing communities and in urban sub-wards in Entebbe municipality. Helminth infection and outcomes, including insulin resistance (computed using the homeostatic model assessment of insulin resistance [HOMA-IR]), fasting blood glucose, fasting blood lipids, blood pressure, body mass index (BMI), waist and hip circumference, were assessed. Results: We analysed 1,898 rural and 930 urban participants. Adjusting for BMI, exercise, smoking, alcohol intake, age and sex, urban residents had lower mean fasting glucose (adjusted mean difference [95%CI] 0.18 [-0.32, -0.05] p=0.01) and HOMA-IR (-0.26 [-0.40, -0.11] p=0.001) but higher blood pressure (systolic, 5.45 [3.75, 7.15] p<0.001; diastolic, 1.93 [0.57, 3.29] p=0.006). Current helminth infection did not explain the observed differences. Conclusions: In the Ugandan context, living in rural fishing communities may protect against hypertension but worsen glucose metabolism.
Keyphrases
- blood pressure
- blood glucose
- body mass index
- insulin resistance
- south africa
- glycemic control
- hypertensive patients
- type diabetes
- cross sectional
- heart rate
- cardiovascular disease
- adipose tissue
- metabolic syndrome
- left ventricular
- skeletal muscle
- physical activity
- computed tomography
- high fat diet
- high intensity
- polycystic ovary syndrome
- atrial fibrillation
- body composition