MA LONERGAN1,2, K MURALI1,2 , LC TAPSELL2, MJ BATTERHAM2, EP NEALE2, A MARTIN2, R THORNE2, F DEANE2, G PEOPLES2
1Illawarra Shoalhaven Local Health District; 2Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW.
Aim: To determine the prevalence of renal markers at baseline in a randomised control trial of interdisciplinary treatment compared to usual care on adults 25-54 years with BMI 25-40.
Background: Obesity as a chronic non-communicable disease is a leading cause of morbidity and mortality. Achieving weight loss is difficult. The HealthTrack study was undertaken to determine the effectiveness of an intervention focused the impact of interdisciplinary care, interdisciplinary care plus a healthy food supplement versus usual care in overweight and obese adult volunteers in a single local health district in NSW. Participants were followed for 12 months.
Methods: 439 generally well-residents of the Illawarra Shoalhaven were screened. This sample of the Illawarra Shoalhaven population were mostly obese (BMI 32 (29-35) kg/m^2), non-smoking (98%) well-educated (85% post school qualifications) females (74%) and of median age 45 (37-51) years.
377 were randomised into Control – (generalised guideline-based diet and exercise) (n=126), Intervention Group 1 with interdisciplinary protocol (n=125) or intervention Group 2 with interdisciplinary protocol and healthy food supplement (30 grams walnuts per day) (n=126).
Of those screened, 383 were eligible to participate. 382 had their serum creatinine checked however only 367 provided a spot urine sample.
Results: At baseline the mean serum creatinine was 72.6+/- 14.4 umol/L. The highest serum creatinine was 125 umol/L.
Only 1 of 367 participants, had an elevated urine microalbumin level at 5.2mg/mmol.
There was no statistical difference in antihypertensive medication use 14 (11%) of control, 20 (16%) Group 1 and 17 (14%) Group 2.
Conclusions: Low incidence of renal markers in this non-smoking well educated study population is consistent with the known link between poor socioeconomic status and renal disease.