Original Contribution Determining Lifestyle Correlates of Body Mass Index using Multilevel Analyses: The Tromsø Study, 1979–2001
Increases in overweight and obesity have been observed globally in both developed and developing countries. The authors assessed the relation between lifestyle factors and body mass index (BMI) (weight (kg)/height (m)2) in a population-based longitudinal study, using BMI and its subsequent change as...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.498.8597 2023-05-15T18:34:25+02:00 Original Contribution Determining Lifestyle Correlates of Body Mass Index using Multilevel Analyses: The Tromsø Study, 1979–2001 Tom Wilsgaard Bjarne K. Jacobsen Egil Arnesen The Pennsylvania State University CiteSeerX Archives 2004 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.498.8597 http://aje.oxfordjournals.org/content/162/12/1179.full.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.498.8597 http://aje.oxfordjournals.org/content/162/12/1179.full.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://aje.oxfordjournals.org/content/162/12/1179.full.pdf text 2004 ftciteseerx 2016-01-08T08:56:02Z Increases in overweight and obesity have been observed globally in both developed and developing countries. The authors assessed the relation between lifestyle factors and body mass index (BMI) (weight (kg)/height (m)2) in a population-based longitudinal study, using BMI and its subsequent change as responses in a multilevel model. The authors included 11,115 men and women aged 20–61 years at baseline who were living in the municipality of Tromsø, Norway, and who participated in three or four consecutive health surveys between 1979–1980 and 2001. Baseline age, physical activity at work, coffee consumption, and desired BMI (i.e., the BMI that the subjects reported they would like to have) were positively associated with baseline BMI, whereas height, alcohol consump-tion, leisure-time physical activity, and level of education were inversely associated. Most relations were found to be stronger in women than in men. Clinically relevant effect sizes were observed for most of the significant associations, especially in women. For instance, on an ordinal scale, a one-category increase in educational level would decrease the mean baseline BMI among women by 0.30 kg/m2. Significant associations between several lifestyle factors and subsequent BMI change revealed that observed baseline associations were strengthened over time, especially in women. body mass index; longitudinal studies; obesity; population; sex Abbreviation: BMI, body mass index. Text Tromsø Unknown Norway Tromsø |
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description |
Increases in overweight and obesity have been observed globally in both developed and developing countries. The authors assessed the relation between lifestyle factors and body mass index (BMI) (weight (kg)/height (m)2) in a population-based longitudinal study, using BMI and its subsequent change as responses in a multilevel model. The authors included 11,115 men and women aged 20–61 years at baseline who were living in the municipality of Tromsø, Norway, and who participated in three or four consecutive health surveys between 1979–1980 and 2001. Baseline age, physical activity at work, coffee consumption, and desired BMI (i.e., the BMI that the subjects reported they would like to have) were positively associated with baseline BMI, whereas height, alcohol consump-tion, leisure-time physical activity, and level of education were inversely associated. Most relations were found to be stronger in women than in men. Clinically relevant effect sizes were observed for most of the significant associations, especially in women. For instance, on an ordinal scale, a one-category increase in educational level would decrease the mean baseline BMI among women by 0.30 kg/m2. Significant associations between several lifestyle factors and subsequent BMI change revealed that observed baseline associations were strengthened over time, especially in women. body mass index; longitudinal studies; obesity; population; sex Abbreviation: BMI, body mass index. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Tom Wilsgaard Bjarne K. Jacobsen Egil Arnesen |
spellingShingle |
Tom Wilsgaard Bjarne K. Jacobsen Egil Arnesen Original Contribution Determining Lifestyle Correlates of Body Mass Index using Multilevel Analyses: The Tromsø Study, 1979–2001 |
author_facet |
Tom Wilsgaard Bjarne K. Jacobsen Egil Arnesen |
author_sort |
Tom Wilsgaard |
title |
Original Contribution Determining Lifestyle Correlates of Body Mass Index using Multilevel Analyses: The Tromsø Study, 1979–2001 |
title_short |
Original Contribution Determining Lifestyle Correlates of Body Mass Index using Multilevel Analyses: The Tromsø Study, 1979–2001 |
title_full |
Original Contribution Determining Lifestyle Correlates of Body Mass Index using Multilevel Analyses: The Tromsø Study, 1979–2001 |
title_fullStr |
Original Contribution Determining Lifestyle Correlates of Body Mass Index using Multilevel Analyses: The Tromsø Study, 1979–2001 |
title_full_unstemmed |
Original Contribution Determining Lifestyle Correlates of Body Mass Index using Multilevel Analyses: The Tromsø Study, 1979–2001 |
title_sort |
original contribution determining lifestyle correlates of body mass index using multilevel analyses: the tromsø study, 1979–2001 |
publishDate |
2004 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.498.8597 http://aje.oxfordjournals.org/content/162/12/1179.full.pdf |
geographic |
Norway Tromsø |
geographic_facet |
Norway Tromsø |
genre |
Tromsø |
genre_facet |
Tromsø |
op_source |
http://aje.oxfordjournals.org/content/162/12/1179.full.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.498.8597 http://aje.oxfordjournals.org/content/162/12/1179.full.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766219141380833280 |