The North West Adelaide Health Study

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Transcription:

North Diabetes can ruin your day Quality of life after diagnosis Catherine Chittleborough, Patrick Phillips, Maria Drakoulas, Katherine Baldock, Anne Taylor, & the North Team

The North Biomedical cohort study Established in 2000 Collaboration between The Queen Elizabeth Hospital, Lyell McEwin Service, South Australian Department of, University of, University of South Australia Designed to assess prevalence of priority conditions, risk factors and determinants across continuum, and progression over time

South Australia

North, South Australia

Background People with diabetes experience impaired quality of life compared to those without diabetes. People with impaired fasting glucose also have impaired quality of life compared to those without diabetes. Poor glucose control is associated with impaired quality of life International/national evidence Stage 1 data from North

Aim To examine the effect of development of diabetes on quality of life using longitudinal data from the North.

Methods Households randomly selected from Electronic White Pages Approach letter sent to households CATI Person last to have birthday, aged 18+ years, selected Appointment made to attend clinic Information pack sent including questionnaire

Clinic assessment Fasting blood test (glucose, lipids, glycated haemoglobin, creatinine) Blood pressure Height and weight Waist and hip circumference Lung function spirometry Skin allergies

Response rate - Stage 1 (2000-2003) Initial sample n=10096 Eligible sample n=8213 Interviewed n=5850 Attended clinic n=4060 Ineligible n=1883 18.7% Non-contacts n=215 2.6% Refused interview n=2148 26.2% Refused clinic n=1790 30.6% Attended clinic / interviewed = 69.4% participation rate Attended clinic / eligible sample = 49.4% response rate

Response rate - Stage 2 (2004-2006) Initial sample n=4060 Eligible sample n=3957 (97.5%) Information obtained n=3564 (90.1%) Deceased n=100 Duplicate IDs n=3 Non-contacts n=233 (5.9%) No information obtained n=160 (4.0%) Telephone interview n=3485 88.1% Questionnaire n=3145 81.2% Attended clinic n=3206 81.0%

Diabetes continuum No diabetes IFG 6.1 mmol/l Diabetes ( 7.0 mmol/l or self-reported) STAGE 1 (n=4060) 89.1% 4.3% 6.6%

Diabetes continuum No diabetes IFG 6.1 mmol/l Diabetes ( 7.0 mmol/l or self-reported) STAGE 1 (n=4060) 89.1% 4.3% 6.6% STAGE 2 (n=3180) 84.8% 8.0% 7.2% Annual incidence of diabetes: 6.8 cases per 1000 population

Quality of life Short Form 36 (SF-36) 8 scales Physical functioning Role physical Bodily pain General health Vitality Social functioning Role emotional Mental health

QOL publication

Mean SF-36 scores across the diabetes continuum 100 Normal Glucose IFG Diabetes 90 80 70 60 Score 50 40 30 20 10 0 PF RP BP GH VT SF RE MH SF-36 Dimension Significantly different to normal glucose (p<0.01) (adjusted for age, sex, cardiovascular disease)

Mean SF-36 scores for people with and without diabetes Score 100 90 80 70 60 50 40 30 20 10 0 No Diabetes Diabetes with good glycaemic control Diabetes with poor glycaemic control + + PF RP BP GH VT SF RE MH SF-36 Dimension Significantly different to No Diabetes (p<0.01) + Significantly different to Diabetes with good glycaemic control (p<0.01) (adjusted for age, sex, cardiovascular disease)

Development of diabetes and quality of life at Stage 2 Mean score 100 90 80 70 60 50 40 Did not develop diabetes Developed diabetes Already had diabetes 30 20 10 0 PF RP BP GH VT SF RE MH SF-36 dimension Significantly different to Did not develop diabetes (p<0.01) (adjusted for age and sex)

Was the change in QoL over time greater for those who developed diabetes than those who did not? SF-36 scale Coefficient (95% CI) p value PF 2.99 (-1.64,7.63) 0.21 RP 10.05 (1.07,19.03) 0.03 BP -3.58 (-9.06,1.90) 0.20 GH -4.51 (-9.11,0.08) 0.05 VT -3.46 (-7.94,1.02) 0.13 SF -0.45 (-5.57,4.67) 0.86 RE 3.70 (-3.92,11.32) 0.34 MH -3.93 (-7.20,-0.66) 0.02

Changes in QoL over time (MH) Mean at S1 Mean at S2 difference Did not develop diabetes 75.4 77.8 +2.4 Developed diabetes 75.4 74.3-1.1

Conclusions Quality of life is impaired as diabetes develops. Management of newly diagnosed diabetes should consider quality of life.

Contact details North www.nwadelaidehealthstudy.org Population Research & Outcome Studies Unit (SA Department of ) www.health.sa.gov.au/pros