Addressing inequalities in physical activity participation: Implications for public health policy and practice

Ruth F. Hunter; Marco Boeri; Mark A. Tully; Paul Donnelly; Frank Kee

doi:10.1016/j.ypmed.2014.12.040

Addressing inequalities in physical activity participation: Implications for public health policy and practice

Ruth F. Hunter, Marco Boeri, Mark A. Tully, Paul Donnelly, Frank Kee

Research output: Contribution to journal › Article › peer-review

26 Citations (Scopus)

Abstract

OBJECTIVE: To investigate the characteristics of those doing no moderate-vigorous physical activity (MVPA) (0days/week), some MVPA (1-4days/week) and sufficient MVPA (≥5days/week) to meet the guidelines in order to effectively develop and target PA interventions to address inequalities in participation.

METHOD: A population survey (2010/2011) of 4653 UK adults provided data on PA and socio-demographic characteristics. An ordered logit model investigated the covariates of 1) participating in no PA, 2) participating in some PA, and 3) meeting the PA guidelines. Model predictions were derived for stereotypical subgroups to highlight important policy and practice implications.

RESULTS: Mean age of participants was 45years old (95% CI 44.51, 45.58) and 42% were male. Probability forecasting showed that males older than 55years of age (probability=0.20; 95% CI 0.11, 0.28), and both males (probability=0.31; 95% CI 0.17, 0.45) and females (probability=0.38; 95% CI 0.27, 0.50) who report poor health are significantly more likely to do no PA.

CONCLUSIONS: Understanding the characteristics of those doing no MVPA and some MVPA could help develop population-level interventions targeting those most in need. Findings suggest that interventions are needed to target older adults, particularly males, and those who report poor health.

Original language	English
Pages (from-to)	64-69
Number of pages	6
Journal	Preventive Medicine
Volume	72
Early online date	06 Jan 2015
DOIs	https://doi.org/10.1016/j.ypmed.2014.12.040
Publication status	Published - Mar 2015

Bibliographical note

Hunter, Ruth F Boeri, Marco Tully, Mark A Donnelly, Paul Kee, Frank eng British Heart Foundation/United Kingdom MR/K023241/1/Medical Research Council/United Kingdom Biotechnology and Biological Sciences Research Council/United Kingdom Department of Health/United Kingdom G0802045/Medical Research Council/United Kingdom Cancer Research UK/United Kingdom Chief Scientist Office/United Kingdom Research Support, Non-U.S. Gov't Prev Med. 2015 Mar;72:64-9. doi: 10.1016/j.ypmed.2014.12.040. Epub 2015 Jan 6.

Keywords

Adolescent Adult Age Factors Aged *Exercise/psychology Female *Health Knowledge, Attitudes, Practice *Health Policy *Health Status Humans Male Middle Aged Northern Ireland Sedentary Behavior Young Adult Econometric modelling Health promotion Physical activity UK Physical Activity Guidelines

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ypmed.2014.12.040

https://www.ncbi.nlm.nih.gov/pubmed/25575799

Cite this

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title = "Addressing inequalities in physical activity participation: Implications for public health policy and practice",

abstract = "OBJECTIVE: To investigate the characteristics of those doing no moderate-vigorous physical activity (MVPA) (0days/week), some MVPA (1-4days/week) and sufficient MVPA (≥5days/week) to meet the guidelines in order to effectively develop and target PA interventions to address inequalities in participation.METHOD: A population survey (2010/2011) of 4653 UK adults provided data on PA and socio-demographic characteristics. An ordered logit model investigated the covariates of 1) participating in no PA, 2) participating in some PA, and 3) meeting the PA guidelines. Model predictions were derived for stereotypical subgroups to highlight important policy and practice implications.RESULTS: Mean age of participants was 45years old (95% CI 44.51, 45.58) and 42% were male. Probability forecasting showed that males older than 55years of age (probability=0.20; 95% CI 0.11, 0.28), and both males (probability=0.31; 95% CI 0.17, 0.45) and females (probability=0.38; 95% CI 0.27, 0.50) who report poor health are significantly more likely to do no PA.CONCLUSIONS: Understanding the characteristics of those doing no MVPA and some MVPA could help develop population-level interventions targeting those most in need. Findings suggest that interventions are needed to target older adults, particularly males, and those who report poor health.",

keywords = "Adolescent Adult Age Factors Aged *Exercise/psychology Female *Health Knowledge, Attitudes, Practice *Health Policy *Health Status Humans Male Middle Aged Northern Ireland Sedentary Behavior Young Adult Econometric modelling Health promotion Physical activity UK Physical Activity Guidelines",

author = "Hunter, {Ruth F.} and Marco Boeri and Tully, {Mark A.} and Paul Donnelly and Frank Kee",

note = "Hunter, Ruth F Boeri, Marco Tully, Mark A Donnelly, Paul Kee, Frank eng British Heart Foundation/United Kingdom MR/K023241/1/Medical Research Council/United Kingdom Biotechnology and Biological Sciences Research Council/United Kingdom Department of Health/United Kingdom G0802045/Medical Research Council/United Kingdom Cancer Research UK/United Kingdom Chief Scientist Office/United Kingdom Research Support, Non-U.S. Gov't Prev Med. 2015 Mar;72:64-9. doi: 10.1016/j.ypmed.2014.12.040. Epub 2015 Jan 6.",

year = "2015",

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doi = "10.1016/j.ypmed.2014.12.040",

language = "English",

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AU - Hunter, Ruth F.

AU - Boeri, Marco

AU - Tully, Mark A.

AU - Donnelly, Paul

AU - Kee, Frank

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PY - 2015/3

Y1 - 2015/3

N2 - OBJECTIVE: To investigate the characteristics of those doing no moderate-vigorous physical activity (MVPA) (0days/week), some MVPA (1-4days/week) and sufficient MVPA (≥5days/week) to meet the guidelines in order to effectively develop and target PA interventions to address inequalities in participation.METHOD: A population survey (2010/2011) of 4653 UK adults provided data on PA and socio-demographic characteristics. An ordered logit model investigated the covariates of 1) participating in no PA, 2) participating in some PA, and 3) meeting the PA guidelines. Model predictions were derived for stereotypical subgroups to highlight important policy and practice implications.RESULTS: Mean age of participants was 45years old (95% CI 44.51, 45.58) and 42% were male. Probability forecasting showed that males older than 55years of age (probability=0.20; 95% CI 0.11, 0.28), and both males (probability=0.31; 95% CI 0.17, 0.45) and females (probability=0.38; 95% CI 0.27, 0.50) who report poor health are significantly more likely to do no PA.CONCLUSIONS: Understanding the characteristics of those doing no MVPA and some MVPA could help develop population-level interventions targeting those most in need. Findings suggest that interventions are needed to target older adults, particularly males, and those who report poor health.

AB - OBJECTIVE: To investigate the characteristics of those doing no moderate-vigorous physical activity (MVPA) (0days/week), some MVPA (1-4days/week) and sufficient MVPA (≥5days/week) to meet the guidelines in order to effectively develop and target PA interventions to address inequalities in participation.METHOD: A population survey (2010/2011) of 4653 UK adults provided data on PA and socio-demographic characteristics. An ordered logit model investigated the covariates of 1) participating in no PA, 2) participating in some PA, and 3) meeting the PA guidelines. Model predictions were derived for stereotypical subgroups to highlight important policy and practice implications.RESULTS: Mean age of participants was 45years old (95% CI 44.51, 45.58) and 42% were male. Probability forecasting showed that males older than 55years of age (probability=0.20; 95% CI 0.11, 0.28), and both males (probability=0.31; 95% CI 0.17, 0.45) and females (probability=0.38; 95% CI 0.27, 0.50) who report poor health are significantly more likely to do no PA.CONCLUSIONS: Understanding the characteristics of those doing no MVPA and some MVPA could help develop population-level interventions targeting those most in need. Findings suggest that interventions are needed to target older adults, particularly males, and those who report poor health.

KW - Adolescent Adult Age Factors Aged Exercise/psychology Female Health Knowledge, Attitudes, Practice Health Policy Health Status Humans Male Middle Aged Northern Ireland Sedentary Behavior Young Adult Econometric modelling Health promotion Physical activity

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DO - 10.1016/j.ypmed.2014.12.040

M3 - Article

C2 - 25575799

SN - 0091-7435

VL - 72

SP - 64

EP - 69

JO - Preventive Medicine

JF - Preventive Medicine

ER -

Addressing inequalities in physical activity participation: Implications for public health policy and practice

Abstract

Bibliographical note

Keywords

UN SDGs

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