Past and projected trends of body mass index and weight status in South Australia: 2003 to 2019.
OBJECTIVE
Functional data analysis (FDA) is a forecasting approach that, to date, has not been applied to obesity, and that may provide more accurate forecasting analysis to manage uncertainty in public health. This paper uses FDA to provide projections of Body Mass Index (BMI), overweight and obesity in an Australian population through to 2019.


METHODS
Data from the South Australian Monitoring and Surveillance System (January 2003 to December 2012, n=51,618 adults) were collected via telephone interview survey. FDA was conducted in four steps: 1) age-gender specific BMIs for each year were smoothed using a weighted regression; 2) the functional principal components decomposition was applied to estimate the basis functions; 3) an exponential smoothing state space model was used for forecasting the coefficient series; and 4) forecast coefficients were combined with the basis function.


RESULTS
The forecast models suggest that between 2012 and 2019 average BMI will increase from 27.2 kg/m(2) to 28.0 kg/m(2) in males and 26.4 kg/m(2) to 27.6 kg/m(2) in females. The prevalence of obesity is forecast to increase by 6-7 percentage points by 2019 (to 28.7% in males and 29.2% in females).


CONCLUSIONS
Projections identify age-gender groups at greatest risk of obesity over time. The novel approach will be useful to facilitate more accurate planning and policy development.
CSIRO Food and Nutrition Flagship, South Australia.
Gilly A
GA
Hendrie
Flinders Centre for Epidemiology and Biostatistics, School of Medicine, Flinders University, South Australia.
Shahid
S
Ullah
School of Public Health, Curtin University, Western Australia.
Jane A
JA
Scott
South Australian Health and Medical Research Institute.
John
J
Gray
School of Nursing & Midwifery, Flinders University, South Australia.
Narelle
N
Berry
School of Health Sciences, Flinders University, South Australia.
Sue
S
Booth
Public Health and Clinical Systems, South Australian Department for Health and Ageing.
Patricia
P
Carter
CSIRO Food and Nutrition Flagship, South Australia.
Lynne
L
Cobiac
School of Health Sciences, Flinders University, South Australia.
John
J
Coveney
D000328:Adult; D017677:Age Distribution; D000368:Aged; D015992:Body Mass Index; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009765:Obesity / Q000453:epidemiology*; D050177:Overweight / Q000453:epidemiology*; D015995:Prevalence; D025341:Principal Component Analysis; D011634:Public Health; D017678:Sex Distribution; D013021:South Australia / Q000453:epidemiology
body mass index; forecasting; functional data analysis; obesity