Active transportation is associated with lower obesity risk: generalized structural equations model applied to physical activity
This study aimed to identify latent (unobservable) dimensions representing specific physical activity-related behaviors and explore their potential effects on obesity burden and spatial distribution in Colombia. A cross-sectional study (n = 9,658) was conducted based on the Colombian National Survey...
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| Format: | Article |
| Language: | English |
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Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz
2025-01-01
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| Series: | Cadernos de Saúde Pública |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2024001201401&lng=en&tlng=en |
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| _version_ | 1841538672036413440 |
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| author | Fabian Leonardo Muñoz Sonia Alejandra Pou Humberto Llinas Solano María del Pilar Diaz |
| author_facet | Fabian Leonardo Muñoz Sonia Alejandra Pou Humberto Llinas Solano María del Pilar Diaz |
| author_sort | Fabian Leonardo Muñoz |
| collection | DOAJ |
| description | This study aimed to identify latent (unobservable) dimensions representing specific physical activity-related behaviors and explore their potential effects on obesity burden and spatial distribution in Colombia. A cross-sectional study (n = 9,658) was conducted based on the Colombian National Survey of Nutritional Status. A generalized structural equations model was proposed, combining exposure and measurement models to define a disease model. Modeling identified latent dimensions of physical activity focused on screen time and means of transportation and estimated their direct and indirect effects on obesity occurrence. Mapping techniques were used to illustrate adherence to these dimensions. The latent dimensions identified were named “Screens use” and “Active transportation”; the latter was inversely associated with obesity occurrence (p = 0.004), with the use of bicycles being the dominant variable, contrasting with the use of motor vehicles. The mapping showed that departments with the highest adherence to the “Active transportation” construct have a lower prevalence of obesity. Bicycle use, as opposed to non-active transportation, represented a dimension of physical activity-related behaviors with a protective effect against obesity. This suggests that active transportation may be a crucial factor in the designing preventive interventions. Moreover, social inequalities may be contributing to the obesity epidemic and physical activity behaviors in Colombia, requiring equitable and multisectoral responses. |
| format | Article |
| id | doaj-art-95d50e73d12b43ef9c6067a57d9150fe |
| institution | Kabale University |
| issn | 1678-4464 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz |
| record_format | Article |
| series | Cadernos de Saúde Pública |
| spelling | doaj-art-95d50e73d12b43ef9c6067a57d9150fe2025-01-14T07:41:01ZengEscola Nacional de Saúde Pública, Fundação Oswaldo CruzCadernos de Saúde Pública1678-44642025-01-01401210.1590/0102-311xen035624Active transportation is associated with lower obesity risk: generalized structural equations model applied to physical activityFabian Leonardo Muñozhttps://orcid.org/0000-0002-0575-4667Sonia Alejandra Pouhttps://orcid.org/0000-0002-8571-9318Humberto Llinas Solanohttps://orcid.org/0000-0002-2976-5109María del Pilar Diazhttps://orcid.org/0000-0001-5207-4253This study aimed to identify latent (unobservable) dimensions representing specific physical activity-related behaviors and explore their potential effects on obesity burden and spatial distribution in Colombia. A cross-sectional study (n = 9,658) was conducted based on the Colombian National Survey of Nutritional Status. A generalized structural equations model was proposed, combining exposure and measurement models to define a disease model. Modeling identified latent dimensions of physical activity focused on screen time and means of transportation and estimated their direct and indirect effects on obesity occurrence. Mapping techniques were used to illustrate adherence to these dimensions. The latent dimensions identified were named “Screens use” and “Active transportation”; the latter was inversely associated with obesity occurrence (p = 0.004), with the use of bicycles being the dominant variable, contrasting with the use of motor vehicles. The mapping showed that departments with the highest adherence to the “Active transportation” construct have a lower prevalence of obesity. Bicycle use, as opposed to non-active transportation, represented a dimension of physical activity-related behaviors with a protective effect against obesity. This suggests that active transportation may be a crucial factor in the designing preventive interventions. Moreover, social inequalities may be contributing to the obesity epidemic and physical activity behaviors in Colombia, requiring equitable and multisectoral responses.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2024001201401&lng=en&tlng=enObesityPhysical ActivityLatent Variable ModelingSurveysBicycling |
| spellingShingle | Fabian Leonardo Muñoz Sonia Alejandra Pou Humberto Llinas Solano María del Pilar Diaz Active transportation is associated with lower obesity risk: generalized structural equations model applied to physical activity Cadernos de Saúde Pública Obesity Physical Activity Latent Variable Modeling Surveys Bicycling |
| title | Active transportation is associated with lower obesity risk: generalized structural equations model applied to physical activity |
| title_full | Active transportation is associated with lower obesity risk: generalized structural equations model applied to physical activity |
| title_fullStr | Active transportation is associated with lower obesity risk: generalized structural equations model applied to physical activity |
| title_full_unstemmed | Active transportation is associated with lower obesity risk: generalized structural equations model applied to physical activity |
| title_short | Active transportation is associated with lower obesity risk: generalized structural equations model applied to physical activity |
| title_sort | active transportation is associated with lower obesity risk generalized structural equations model applied to physical activity |
| topic | Obesity Physical Activity Latent Variable Modeling Surveys Bicycling |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2024001201401&lng=en&tlng=en |
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