The Epidemiology of Domain-Specific Physical Activity in New Zealand Adults: A Nationally Representative Cross-Sectional Survey

Author:

Gage Ryan1ORCID,Mizdrak Anja1ORCID,Richards Justin23ORCID,Bauman Adrian4ORCID,Mcleod Melissa1ORCID,Jones Rhys5ORCID,Woodward Alistair6ORCID,Shaw Caroline1ORCID

Affiliation:

1. Department of Public Health, University of Otago, Wellington, New Zealand

2. Sport New Zealand, Wellington, New Zealand

3. Faculty of Health, Victoria University of Wellington, Wellington, New Zealand

4. Sydney School of Public Health, The University of Sydney, Sydney, NSW, Australia

5. Te Kupenga Hauora Māori, The University of Auckland, Auckland, New Zealand

6. Epidemiology and Biostatistics, The University of Auckland, Auckland, New Zealand

Abstract

Background: Surveillance of domain-specific physical activity (PA) helps to target interventions to promote PA. We examined the sociodemographic correlates of domain-specific PA in New Zealand adults. Methods: A nationally representative sample of 13,887 adults completed the International PA Questionnaire–long form in 2019/20. Three measures of total and domain-specific (leisure, travel, home, and work) PA were calculated: (1) weekly participation, (2) mean weekly metabolic energy equivalent minutes (MET-min), and (3) median weekly MET-min among those who undertook PA. Results were weighted to the New Zealand adult population. Results: The average contribution of domain-specific activity to total PA was 37.5% for work activities (participation = 43.6%; median participating MET-min = 2790), 31.9% for home activities (participation = 82.2%; median participating MET-min = 1185), 19.4% for leisure activities (participation = 64.7%; median participating MET-min = 933), and 11.2% for travel activities (participation = 64.0%; median MET-min among participants = 495). Women accumulated more home PA and less work PA than men. Total PA was higher in middle-aged adults, with diverse patterns by age within domains. Māori accumulated less leisure PA than New Zealand Europeans but higher total PA. Asian groups reported lower PA across all domains. Higher area deprivation was negatively associated with leisure PA. Sociodemographic patterns varied by measure. For example, gender was not associated with total PA participation, but men accumulated higher MET-min when taking part in PA than women. Conclusions: Inequalities in PA varied by domain and sociodemographic group. These results should be used to inform interventions to improve PA.

Publisher

Human Kinetics

Subject

Orthopedics and Sports Medicine,Epidemiology,Public Health, Environmental and Occupational Health,Physical Therapy, Sports Therapy and Rehabilitation

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