Primary weight maintenance: an observational study exploring candidate variables for intervention
Abstract Background Previous studies have focused on weight maintenance following weight loss, i.e. secondary weight maintenance (SWM). The long-term results of SWM have been rather modest and it has been suggested that preventing initial weight gain, i.e. primary weight maintenance (PWM), may be mo...
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ftunivgoeteborg:oai:gupea.ub.gu.se:2077/33745 2023-10-29T02:38:59+01:00 Primary weight maintenance: an observational study exploring candidate variables for intervention Lindvall, Kristina Jenkins, Paul Emmelin, Maria Scribani, Melissa Norberg, Margareta Larsson, Christel Weinehall, Lars 2013-07-21T05:44:14Z text/xml application/pdf application/msword http://hdl.handle.net/2077/33745 https://doi.org/10.1186/1475-2891-12-97 en eng Nutrition Journal. 2013 Jul 15;12(1):97 http://dx.doi.org/10.1186/1475-2891-12-97 http://hdl.handle.net/2077/33745 Kristina Lindvall et al.; licensee BioMed Central Ltd. Journal Article 2013 ftunivgoeteborg https://doi.org/10.1186/1475-2891-12-97 2023-10-04T21:09:02Z Abstract Background Previous studies have focused on weight maintenance following weight loss, i.e. secondary weight maintenance (SWM). The long-term results of SWM have been rather modest and it has been suggested that preventing initial weight gain, i.e. primary weight maintenance (PWM), may be more successful. Therefore, developing a prevention strategy focused on PWM, enabling normal weight or overweight individuals to maintain their weight, would be of great interest. The aim of this study was to identify attitudes, strategies, and behaviors that are predictive of PWM in different age, sex and BMI groups in Northern Sweden. Methods A questionnaire was mailed to 3497 individuals in a Swedish population that had two measured weights taken ten years apart, as participants in the Västerbotten Intervention Programme. Subjects were between 41–63 years of age at the time of the survey, had a baseline BMI of 20–30, and a ten year percent change in BMI greater than -3%. The respondents were divided into twelve subgroups based on baseline age (30, 40 and 50), sex and BMI (normal weight and overweight). Analysis of variance (ANOVA), correlation, and linear regression were performed to identify independent predictors of PWM. Results Of the 166 predictors tested, 152 (91.6%) were predictive of PWM in at least one subgroup. However, only 7 of these 152 variables (4.6%) were significant in 6 subgroups or more. The number of significant predictors of PWM was higher for male (35.8) than female (27.5) subgroups (p=0.044). There was a tendency (non significant) for normal weight subgroups to have a higher number of predictors (35.3) than overweight subgroups (28.0). Adjusted R-squared values ranged from 0.1 to 0.420. Conclusions The large number of PWM predictors identified, and accompanying high R-squared values, provide a promising first step towards the development of PWM interventions. The large disparity in the pattern of significant variables between subgroups suggests that these interventions should be tailored to the ... Article in Journal/Newspaper Northern Sweden University of Gothenburg: GUPEA (Gothenburg University Publications Electronic Archive) Nutrition Journal 12 1 |
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University of Gothenburg: GUPEA (Gothenburg University Publications Electronic Archive) |
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ftunivgoeteborg |
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English |
description |
Abstract Background Previous studies have focused on weight maintenance following weight loss, i.e. secondary weight maintenance (SWM). The long-term results of SWM have been rather modest and it has been suggested that preventing initial weight gain, i.e. primary weight maintenance (PWM), may be more successful. Therefore, developing a prevention strategy focused on PWM, enabling normal weight or overweight individuals to maintain their weight, would be of great interest. The aim of this study was to identify attitudes, strategies, and behaviors that are predictive of PWM in different age, sex and BMI groups in Northern Sweden. Methods A questionnaire was mailed to 3497 individuals in a Swedish population that had two measured weights taken ten years apart, as participants in the Västerbotten Intervention Programme. Subjects were between 41–63 years of age at the time of the survey, had a baseline BMI of 20–30, and a ten year percent change in BMI greater than -3%. The respondents were divided into twelve subgroups based on baseline age (30, 40 and 50), sex and BMI (normal weight and overweight). Analysis of variance (ANOVA), correlation, and linear regression were performed to identify independent predictors of PWM. Results Of the 166 predictors tested, 152 (91.6%) were predictive of PWM in at least one subgroup. However, only 7 of these 152 variables (4.6%) were significant in 6 subgroups or more. The number of significant predictors of PWM was higher for male (35.8) than female (27.5) subgroups (p=0.044). There was a tendency (non significant) for normal weight subgroups to have a higher number of predictors (35.3) than overweight subgroups (28.0). Adjusted R-squared values ranged from 0.1 to 0.420. Conclusions The large number of PWM predictors identified, and accompanying high R-squared values, provide a promising first step towards the development of PWM interventions. The large disparity in the pattern of significant variables between subgroups suggests that these interventions should be tailored to the ... |
format |
Article in Journal/Newspaper |
author |
Lindvall, Kristina Jenkins, Paul Emmelin, Maria Scribani, Melissa Norberg, Margareta Larsson, Christel Weinehall, Lars |
spellingShingle |
Lindvall, Kristina Jenkins, Paul Emmelin, Maria Scribani, Melissa Norberg, Margareta Larsson, Christel Weinehall, Lars Primary weight maintenance: an observational study exploring candidate variables for intervention |
author_facet |
Lindvall, Kristina Jenkins, Paul Emmelin, Maria Scribani, Melissa Norberg, Margareta Larsson, Christel Weinehall, Lars |
author_sort |
Lindvall, Kristina |
title |
Primary weight maintenance: an observational study exploring candidate variables for intervention |
title_short |
Primary weight maintenance: an observational study exploring candidate variables for intervention |
title_full |
Primary weight maintenance: an observational study exploring candidate variables for intervention |
title_fullStr |
Primary weight maintenance: an observational study exploring candidate variables for intervention |
title_full_unstemmed |
Primary weight maintenance: an observational study exploring candidate variables for intervention |
title_sort |
primary weight maintenance: an observational study exploring candidate variables for intervention |
publishDate |
2013 |
url |
http://hdl.handle.net/2077/33745 https://doi.org/10.1186/1475-2891-12-97 |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
Nutrition Journal. 2013 Jul 15;12(1):97 http://dx.doi.org/10.1186/1475-2891-12-97 http://hdl.handle.net/2077/33745 |
op_rights |
Kristina Lindvall et al.; licensee BioMed Central Ltd. |
op_doi |
https://doi.org/10.1186/1475-2891-12-97 |
container_title |
Nutrition Journal |
container_volume |
12 |
container_issue |
1 |
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1781065500278652928 |