Dietary Pattern Indicators among Healthy and Unhealthy Weight Adolescents Residing in Different Contexts across the Otago Region, New Zealand
Bibliographic Data
| ID | 15715122 |
|---|---|
| Authors | Kirsten J Coppell (0000-0003-0996-2874, Nelson Marlborough Institute of Technology, corresponding author), Michael Keall (0000-0003-1760-6159, University of Otago), Sandra Mandic (0000-0003-4126-8874, Auckland University of Technology, corresponding author) |
| Year | 2023 |
| Volume | 10 |
| Issue | 9 |
| Pages | 1445-1445 |
| Publication date | 2023-08-24 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Children (JOURNAL) |
| Journal identifiers | ISSN: 2227-9067 • E-ISSN: 2227-9067 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/children10091445 |
| PMID | 37761405 |
| OpenAlex | W4386142276 |
| Language | EN |
| References cited | 43 |
Reported obesity rates for adolescents in different urban and rural areas are inconsistent. We examined indicators of healthy and unhealthy dietary patterns among 1863 adolescents aged 13-18 years with a healthy or excess body weight attending 23 secondary schools in four different settlement types across the Otago region, New Zealand. An online survey included demographics and dietary behaviours. Height and weight were measured, and body mass index was calculated. New Zealand defined urban and rural settlement types were used. Home addresses determined a small area-level index of deprivation. Data were analysed using Chi-square tests and ANOVA. A logistic model was fitted to estimate adjusted odds ratios of excess weight. The proportion of adolescents with a healthy weight differed ( p p = 0.087). Sugar-sweetened beverage and fast-food consumption was more frequent in the most deprived areas ( p p < 0.001). The most important associations with excess weight were area-level deprivation and ethnicity, but not settlement type. Prioritising socioeconomic factors irrespective of settlement type is necessary when developing interventions to improve dietary patterns and body weight status among adolescents
Body mass index · Demographics · Environmental health · Geography · Logistic regression · Neighbourhood (mathematics · Obesity · Overweight · Population · Psychological intervention · Rural area · Socioeconomic status · Demography · Health disparities and outcomes · Medicine · Nutritional Studies and Diet · Obesity, Physical Activity, Diet · Gerontology
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| Highly cited | No |
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