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Correction

Overweight and obesity in Australia: the 1999–2000 Australian Diabetes, Obesity and Lifestyle Study (AusDiab)

Adrian J Cameron, Timothy A Welborn, Paul Z Zimmet, David W Dunstan, Neville Owen, Jo Salmon, Marita Dalton, Damien Jolley and Jonathan E Shaw
MJA 2004; 180 (8): 418

Re:Overweight and obesity in Australia: the 1999–2000 Australian Diabetes, Obesity and Lifestyle Study (AusDiab)”, by Adrian J Cameron, Timothy A Welborn, Paul Z Zimmet et al in the 5 May 2003 issue of the Journal (Med J Aust 2003; 178: 427-432).

In Box 3 and Box 4 (pages 429 and 430), the row headings for the weekly income categories were reversed — the reference category should have been the lowest (rather than the highest) income group. These sections of Boxes 3 and 4, as they should have appeared, are shown below.

This reversal affected our interpretation of the results of the study. In the Results section (page 431), we stated that “Increasing income increased the risk of obesity in women. Although no such association was significant for men, both the BMI and waist circumference data suggested that middle-income men tended to be more obese than the lowest income group.”

This should have read: “Increasing income decreased the risk of obesity in women. Although no such association was significant for men, both the BMI and waist circumference data suggested that middle-income men tended to be more obese than the highest income group.

In the Discussion section (page 432), we stated that “In men, minor trends for middle-income groups to be more obese and the least affluent to be thin were observed, although these were not significant. Women, by contrast, showed a strong positive graded association between income and obesity.”

This should have read: “In men, minor trends for middle-income groups to be more obese and the most affluent to be thin were observed, although these were not significant. Women, by contrast, showed a strong negative graded association between income and obesity.”

The association between obesity and income was not a major outcome of the study, with the results focusing on the prevalence of obesity and the association of obesity with physical activity and television viewing time.

The html and pdf versions of the article published in the eMJA were corrected on 20 March 2004.

3: Association between obesity (measured using body mass index [BMI]* [n = 4996] and waist circumference* [n = 4984]) and potential risk factors among Australian men

Body mass index


Waist circumference


n

Adjusted odds ratio (95% CI)

n

Adjusted odds ratio(95% CI)


Smoking status

Non/ex-smoker

4048

1.00

4041

1.00

Smoker

  865

0.71 (0.48–1.04)

  860

0.63 (0.51–0.78)

Physical activity§

Lowest quintile

  946

1.00

  946

1.00

Highest quintile

1021

0.70 (0.46–1.06)

1022

0.56 (0.42–0.75)

Television viewing

Lowest quintile

  784

1.00

  783

1.00

Highest quintile

1094

1.86 (1.30–2.67)

1093

1.97 (1.48–2.63)

Education

University/Further education

2089

1.00

2086

1.00

Completed high school

  901

1.14 (0.92–1.42)

  900

0.93 (0.69–1.27)

Some high school completed

1693

2.19 (1.6–3.01)

1684

1.65 (1.17–2.33)

Primary school/never attended school

  309

2.40 (1.59–3.61)

  310

2.31 (1.69–3.15)

Country of birth

Australia/New Zealand

3727

1.00

3713

1.00

United Kingdom/Northern Ireland

  612

0.92 (0.65–1.29)

  611

0.89 (0.68–1.16)

Rest of world

  653

0.85 (0.67–1.08)

  656

0.60 (0.40–0.92)

Weekly income (A$)

0–199

  502

1.00

  502

1.00

200–399

1541

1.18 (0.80–1.74)

1533

1.30 (0.93–1.81)

400–599

1162

1.12 (0.78–1.60)

1157

1.29 (0.91–1.82)

600–799

1133

1.07 (0.77–1.50)

1134

1.23 (0.84–1.80)

800–1499

  571

1.06 (0.70–1.62)

  573

0.97 (0.69–1.36)

1500+

    37

0 .68 (0.22–2.07)

    36

0.51 (0.17–1.54)

Occupation**

Skill level 1

1243

1.00

1244

1.00

Skill level 2

  540

0.65 (0.46–0.93)

  534

0.74 (0.49–1.14)

Skill level 3

  658

0.48 (0.32–0.72)

  659

0.43 (0.26–0.70)

Skill level 4

  604

0.95 (0.63–1.43)

  602

0.84 (0.58–1.21)

Skill level 5

  304

0.93 (0.52–1.63)

  304

0.92 (0.46–1.84)

Others

1629

0.56 (0.35–0.89)

1623

1.07 (0.66–1.72)


* Obesity defined as BMI ≥ 30 kg/m2, or waist circumference ≥ 102 cm.

† Model adjusted for age and all other risk factors in the table.
‡ Significantly different from reference (P < 0.05).
§ Quintiles of physical activity: < 30 minutes = lowest, ≥ 550 minutes = highest.
¶ Quintiles of television viewing: < 300 minutes = lowest, ≥ 1260 minutes = highest.
** Skill levels: 1 — managers, administrators and professionals; 2 — associate professionals; 3 — tradespersons, advanced clerical and service workers; 4 — intermediate clerical, sales and service workers, intermediate production and transport workers; 5 — elementary clerical, sales and service workers and labourers; and others — students, retirees, pensioners and unemployed.

4: Association between obesity (measured using body mass index [BMI]* [n = 6071] and waist circumference* [n = 6075]) and each of the potential risk factors among Australian women

Body mass index


Waist circumference


n

Adjusted odds ratio (95% CI)

n

Adjusted odds ratio (95% CI)


Smoking status

Non/ex-smoker

5123

1.00

5128

1.00

Smoker

  857

0.70 (0.51–0.97)

  858

1.03 (0.76–1.39)

Physical activity§

Lowest quintile

1254

1.00

1255

1.00

Highest quintile

1221

0.47 (0.31–0.72)

1221

0.53 (0.34–0.80)

Television viewing

Lowest quintile

  992

1.00

  994

1.00

Highest quintile

1292

1.82 (1.19–2.76)

1295

2.27 (1.55–3.32)

Education

University/Further education

1985

1.00

1985

1.00

Completed high school

1185

1.04 (0.77–1.40)

1185

1.31 (1.01–1.70)

Some high school completed

2481

1.48 (1.19–1.83)

2487

1.47 (1.19–1.82)

Primary school/never attended school

  419

2.12 (1.18–3.80)

  417

2.68 (1.64–4.36)

Country of birth

Australia/New Zealand

4672

1.00

4677

1.00

United Kingdom/Northern Ireland

  644

0.95 (0.68–1.34)

  646

1.01 (0.69–1.49)

Rest of world

  754

0.80 (0.66–0.97)

  751

0.72 (0.57–0.92)

Weekly income (A$)

0–199

1034

1.00

1034

1.00

200–399

2046

0.85 (0.67–1.08)

2046

0.93 (0.74–1.19)

400–599

1270

0.87 (0.66–1.15)

1274

0.79 (0.62–1.02)

600–799

1064

0.57 (0.40–0.82)

1062

0.62 (0.46–0.83)

800–1499

  499

0.67 (0.48–0.93)

  501

0.59 (0.37–0.94)

1500+

    20

0.63 (0.19–2.11)

    20

0.46 (0.13–1.65)

Occupation**

Skill level 1

  990

1.00

  989

1.00

Skill level 2

  390

0.82 (0.41–1.65)

  389

0.80 (0.48–1.34)

Skill level 3

  354

0.88 (0.55–1.40)

  355

0.93 (0.58–1.48)

Skill level 4

  886

1.11 (0.72–1.71)

  884

0.74 (0.53–1.05)

Skill level 5

  549

0.84 (0.45–1.57)

  551

0.90 (0.60–1.36)

Others

2869

0.94 (0.54–1.63)

2874

1.08 (0.71–1.64)


* Obesity defined as BMI ≥ 30 kg/m2, or waist circumference ≥ 88 cm.
† Model adjusted for age and all other risk factors in the table.
‡ Significantly different from reference (P < 0.05).
§ Quintiles of physical activity: < 20 minutes = lowest, ≥ 390 minutes = highest.
¶ Quintiles of television viewing: < 240 minutes = lowest, ≥ 1200 minutes = highest.
** Skill levels: 1 — managers, administrators and professionals; 2 — associate professionals; 3 — tradespersons, advanced clerical and service workers; 4 — intermediate clerical, sales and service workers, intermediate production and transport workers; 5 — elementary clerical, sales and service workers and labourers; and others — students, retirees, pensioners and unemployed.


Department of Epidemiology, International Diabetes Institute, Caulfield, VIC.

Adrian J Cameron, MPH, Epidemiologist; Paul Z Zimmet, MD, FRACP FAFPHM, Director; David W Dunstan, PhD, Research Fellow; Marita Dalton, GradDipEpidemiol, Epidemiologist; Jonathan E Shaw, MD, MRCP, Director of Research.

Department of Medicine and Public Health, University of Western Australia, Perth, WA.

Timothy A Welborn, MB BS, PhD, Clinical Professor.

School of Population Health, University of Queensland, Brisbane, QLD.

Neville Owen, PhD, Director.

School of Health Sciences, Deakin University, Burwood, VIC.

Jo Salmon, PhD, Research Fellow; Damien Jolley, MSc, Associate Dean.

Correspondence: Mr Adrian J Cameron, Department of Epidemiology, International Diabetes Institute, 250 Kooyong Road, Caulfield, VIC 3162. acameronATidi.org.au

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©The Medical Journal of Australia 2004 www.mja.com.au ISSN: 0025-729X

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