Dietary Pattern Indicators among Healthy and Unhealthy Weight Adolescents Residing in Different Contexts across the Otago Region, New Zealand
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Children |
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| Online Access: | https://www.mdpi.com/2227-9067/10/9/1445 |
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| author | Kirsten J. Coppell Michael Keall Sandra Mandic |
| author_facet | Kirsten J. Coppell Michael Keall Sandra Mandic |
| author_sort | Kirsten J. Coppell |
| collection | DOAJ |
| description | 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 (<i>p</i> < 0.001) between the most (64.9%) and least (76.4%) deprived neighbourhood areas. There was only indicative evidence of differences between settlement types (<i>p</i> = 0.087). Sugar-sweetened beverage and fast-food consumption was more frequent in the most deprived areas (<i>p</i> < 0.001), and in urban versus rural settlements (<i>p</i> < 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. |
| first_indexed | 2024-03-10T22:54:53Z |
| format | Article |
| id | doaj.art-12af501c2b794ed7896ed462ce2255ec |
| institution | Directory Open Access Journal |
| issn | 2227-9067 |
| language | English |
| last_indexed | 2024-03-10T22:54:53Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Children |
| spelling | doaj.art-12af501c2b794ed7896ed462ce2255ec2023-11-19T10:02:35ZengMDPI AGChildren2227-90672023-08-01109144510.3390/children10091445Dietary Pattern Indicators among Healthy and Unhealthy Weight Adolescents Residing in Different Contexts across the Otago Region, New ZealandKirsten J. Coppell0Michael Keall1Sandra Mandic2Department of Medicine, University of Otago Wellington, Wellington South 6242, New ZealandDepartment of Public Health, University of Otago Wellington, Wellington South 6242, New ZealandSchool of Sport and Recreation, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland 0627, New ZealandReported 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 (<i>p</i> < 0.001) between the most (64.9%) and least (76.4%) deprived neighbourhood areas. There was only indicative evidence of differences between settlement types (<i>p</i> = 0.087). Sugar-sweetened beverage and fast-food consumption was more frequent in the most deprived areas (<i>p</i> < 0.001), and in urban versus rural settlements (<i>p</i> < 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.https://www.mdpi.com/2227-9067/10/9/1445adolescentbody weightdietary patternneighbourhood characteristicssocioeconomic factors |
| spellingShingle | Kirsten J. Coppell Michael Keall Sandra Mandic Dietary Pattern Indicators among Healthy and Unhealthy Weight Adolescents Residing in Different Contexts across the Otago Region, New Zealand Children adolescent body weight dietary pattern neighbourhood characteristics socioeconomic factors |
| title | Dietary Pattern Indicators among Healthy and Unhealthy Weight Adolescents Residing in Different Contexts across the Otago Region, New Zealand |
| title_full | Dietary Pattern Indicators among Healthy and Unhealthy Weight Adolescents Residing in Different Contexts across the Otago Region, New Zealand |
| title_fullStr | Dietary Pattern Indicators among Healthy and Unhealthy Weight Adolescents Residing in Different Contexts across the Otago Region, New Zealand |
| title_full_unstemmed | Dietary Pattern Indicators among Healthy and Unhealthy Weight Adolescents Residing in Different Contexts across the Otago Region, New Zealand |
| title_short | Dietary Pattern Indicators among Healthy and Unhealthy Weight Adolescents Residing in Different Contexts across the Otago Region, New Zealand |
| title_sort | dietary pattern indicators among healthy and unhealthy weight adolescents residing in different contexts across the otago region new zealand |
| topic | adolescent body weight dietary pattern neighbourhood characteristics socioeconomic factors |
| url | https://www.mdpi.com/2227-9067/10/9/1445 |
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