Determining pathways of effect between correlates and outcomes of transport-related physical activity at differing timepoints across the lifecourse : A structural equation modelling approach
Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved..
Transport-related physical activity levels differ across the lifecourse; however, the nature of these differences is poorly understood. This study examined the relationship between correlates of transport-related physical activity and how they differ in strength, pathway, and direction across the lifecourse. Structural Equation Modelling assessed relationships between correlates (e.g., age, smoking, education) and transport-related physical activity (assessed via the International Physical Activity Questionnaire) at four timepoints of the Australian Childhood Determinants of Adult Health study: childhood (7-15y; n = 6302), early-adulthood (26-36y; n = 2700), early/mid-adulthood (31-41y; n = 1649), and mid-adulthood (36-49y; n = 1794). Several pathways were consistent across the lifecourse. Self-rated health directly associated with transport-related physical activity across all timepoints. During adulthood greater body mass index and smoking frequency were indirectly associated with lower levels of transport-related physical activity via self-rated health; similarly, lower educated adults, who smoked more frequently, and had poorer health, had lower transport-related physical activity. Urban residence was directly associated with greater transport-related physical activity in childhood and early-adulthood; having more children in early/mid- and mid-adulthood was directly associated with less transport-related physical activity. This is the first study to report pathways of direct and indirect association between correlates and transport-related physical activity at key lifecourse stages. The pathways highlighted can inform policy and practice to aid in the development of age-specific lifecourse interventions.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:179 |
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| Enthalten in: |
Preventive medicine - 179(2024) vom: 20. Jan., Seite 107825 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Evans, Jack T [VerfasserIn] |
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| Links: |
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| Themen: |
Active commuting |
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| Anmerkungen: |
Date Completed 29.01.2024 Date Revised 29.01.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.ypmed.2023.107825 |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a Transport-related physical activity levels differ across the lifecourse; however, the nature of these differences is poorly understood. This study examined the relationship between correlates of transport-related physical activity and how they differ in strength, pathway, and direction across the lifecourse. Structural Equation Modelling assessed relationships between correlates (e.g., age, smoking, education) and transport-related physical activity (assessed via the International Physical Activity Questionnaire) at four timepoints of the Australian Childhood Determinants of Adult Health study: childhood (7-15y; n = 6302), early-adulthood (26-36y; n = 2700), early/mid-adulthood (31-41y; n = 1649), and mid-adulthood (36-49y; n = 1794). Several pathways were consistent across the lifecourse. Self-rated health directly associated with transport-related physical activity across all timepoints. During adulthood greater body mass index and smoking frequency were indirectly associated with lower levels of transport-related physical activity via self-rated health; similarly, lower educated adults, who smoked more frequently, and had poorer health, had lower transport-related physical activity. Urban residence was directly associated with greater transport-related physical activity in childhood and early-adulthood; having more children in early/mid- and mid-adulthood was directly associated with less transport-related physical activity. This is the first study to report pathways of direct and indirect association between correlates and transport-related physical activity at key lifecourse stages. The pathways highlighted can inform policy and practice to aid in the development of age-specific lifecourse interventions | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Active commuting | |
| 650 | 4 | |a Adult | |
| 650 | 4 | |a Child | |
| 650 | 4 | |a Physical activity | |
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| 700 | 1 | |a Gall, Seana |e verfasserin |4 aut | |
| 700 | 1 | |a Dwyer, Terence |e verfasserin |4 aut | |
| 700 | 1 | |a Venn, Alison |e verfasserin |4 aut | |
| 700 | 1 | |a Cleland, Verity |e verfasserin |4 aut | |
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