Gender equality predicts leisure-time physical activity: Benefits for both sexes across 34 countries

Abstract Although countries’ gender equality is associated with important health outcomes, especially for females, it remains unclear whether gender equality is associated with leisure-time physical activity (LTPA). Data from 34 countries was acquired from the International Social Survey Program, the Pew Research Forum, the United Nations, and the World Bank. Separate analyses were conducted for 21,502 males and 26,652 females. Hierarchal nonlinear Bernoulli modeling was used to examine the association between gender equality and participation in LTPA. Both males and females residing in countries’ with higher gender equality were more likely (twice and three times more likely, respectively) to report weekly LTPA than those residing in countries characterized by low gender equality. These effects persisted even when controlling for individual (i.e. age, education) and country-level (i.e. population, gross domestic product) covariates. However, significant variation in LTPA persisted at the country level, suggesting the need for further research. These findings provide novel evidence that both males and females benefit from gender equality. To explain these findings, we hypothesize that increased gender equality decreases the average number of offspring and, in turn, allows mothers more time for leisure, and to invest more resources in both male and female offspring, which may increase LTPA.

[1]  R. Deaner,et al.  Guys and Gals Going for Gold , 2016 .

[2]  Shea M. Balish Democracy predicts sport and recreation membership: Insights from 52 countries , 2016, Journal of epidemiology and global health.

[3]  Menelaos Apostolou The evolution of sports: Age-cohort effects in sports participation , 2015 .

[4]  P. Bracke,et al.  Does country-context matter? A cross-national analysis of gender and leisure time physical inactivity in Europe. , 2013, European journal of public health.

[5]  I. Permanyer A Critical Assessment of the UNDP’s Gender Inequality Index , 2013 .

[6]  Alan D. Lopez,et al.  A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 , 2012, The Lancet.

[7]  D. Geary,et al.  A Sex Difference in the Predisposition for Physical Competition: Males Play Sports Much More than Females Even in the Contemporary U.S , 2012, PloS one.

[8]  A. Bauman,et al.  Reliability and validity testing of a single-item physical activity measure , 2010, British Journal of Sports Medicine.

[9]  C. Meghir,et al.  Maternal Education, Home Environments and the Development of Children and Adolescents , 2007 .

[10]  P. Davis-Kean,et al.  The influence of parent education and family income on child achievement: the indirect role of parental expectations and the home environment. , 2005, Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association.

[11]  R. Blough The World Bank Group , 1968, International Organization.

[12]  D. J. van der Valk,et al.  How accurately can sitting and the intensity of walking and cycling be classified using an accelerometer on the waist for the purpose of the “Global recommendations on physical activity for health”? , 2015 .

[13]  Evi Scholz,et al.  ISSP study monitoring 2007 : report to the ISSP General Assembly on monitoring work undertaken for the ISSP , 2009 .

[14]  Y. Nishino,et al.  Validity and reliability of single-item questions about physical activity. , 2001, Journal of epidemiology.