Gender Differences in Sociodemographic and Behavioral Influences of Physical Activity in Mexican-Origin Adolescents

Strong, Larkin L.; Anderson, Cheryl; Miranda, Patricia Y.; Bondy, Melissa L.; Zhou, Renke; Etzel, Carol J.; Spitz, Margaret R.; Wilkinson, Anna V.

doi:10.1123/jpah.9.6.829

Cited by 11 publications

(9 citation statements)

References 55 publications

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“…In addition, we did not find a significant relationship between BMI and meeting PA recommendations among our sample of Mexican origin adolescents, as others have reported (Forshee et al 2004;Kimm et al 2005). We and others have previously observed similar findings (Anderson et al 2009;Strong et al 2012), including greater PA in overweight relative to normal-weight Hispanic girls (Byrd-Williams et al 2007). The lack of a consistent relationship may reflect limitations of the self-report PA measures, the importance of energy intake, rather than energy expenditure, to BMI and/or the limitations of BMI as a measure of adiposity in adolescents (Strong et al 2012).…”

Section: Discussionsupporting

confidence: 73%

“…We and others have previously observed similar findings (Anderson et al 2009;Strong et al 2012), including greater PA in overweight relative to normal-weight Hispanic girls (Byrd-Williams et al 2007). The lack of a consistent relationship may reflect limitations of the self-report PA measures, the importance of energy intake, rather than energy expenditure, to BMI and/or the limitations of BMI as a measure of adiposity in adolescents (Strong et al 2012). To date, and to the best of our knowledge, there have been no previous reports of an association between PA and three of the four SNPs that maintained significance in our multivariable model (see review by de Vilhena e Santos et al 2012 and results from a GWA by De Moor et al 2009).…”

Section: Discussionsupporting

confidence: 67%

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Sensation‐seeking genes and physical activity in youth

Wilkinson¹,

Gabriel²,

Wang

et al. 2012

Genes Brain and Behavior

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Many studies examining genetic influences on physical activity (PA) have evaluated the impact of single nucleotide polymorphisms (SNPs) related to the development of lifestyle-related chronic diseases, under the hypothesis that they would be associated with PA. However, PA is a multi-determined behavior and associated with a multitude of health consequences. Thus, examining a broader range of candidate genes associated with a boarder range of PA correlates may provide new insights into the genetic underpinnings of PA. In this study we focus on one such correlate – sensation seeking behavior. Participants (N=1,130 Mexican origin youth) provided a saliva sample and data on PA and sensation seeking tendencies in 2008–09. Participants were genotyped for 630 functional and tagging variants in the dopamine, serotonin, and cannabinoid pathways. Overall 30% of participants (males – 37.6%; females – 22.0%) reported ≥60 minutes of PA on five out of seven days. After adjusting for gender, age and population stratification, and applying the Bayesian False Discovery Probability approach for assessing noteworthiness, four gene variants were significantly associated with PA. In a multivariable model, being male, having higher sensation seeking tendencies and at least one copy of the minor allele for SNPs in ACE (rs8066276 OR=1.44; p=0.012) and TPH2 (rs11615016 OR=1.73; p=0.021) were associated with increased likelihood of meeting PA recommendations. Participants with at least one copy of the minor allele for SNPs in SNAP25 (rs363035 OR=0.53; p=0.005) and CNR1 (rs6454672 OR=0.62; p=0.022) have decreased likelihood of meeting PA recommendations. Our findings extend current knowledge of the complex relationship between PA and possible genetic underpinnings.

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Section: Discussionsupporting

confidence: 73%

Section: Discussionsupporting

confidence: 67%

Sensation‐seeking genes and physical activity in youth

Wilkinson¹,

Gabriel²,

Wang

et al. 2012

Genes Brain and Behavior

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“…However, among participants in our cohort of Mexican heritage youth, we observed a moderate inverse association between linguistic acculturation and participation in community sports [13]. Consistent with this finding, although not significantly different, a higher proportion of youth born in Mexico participated in at least 60 minutes of PA on five days out of seven compared to youth born in the U.S [14].…”

Section: Introductionsupporting

confidence: 76%

Correlates of Physical Activity Differ by Sex and Country of Birth Among Mexican-Heritage Youth

Wilkinson¹,

Miller

Koehly

et al. 2016

J Immigrant Minority Health

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Barriers to physical activity (PA) may be experienced differently by sex and country of birth. We examine psychosocial correlates of PA in four groups based on sex (boy/girl) and country of birth (Mexico/United States (U.S.). 1,154 Mexican heritage adolescents residing in Houston, Texas provided psychosocial data in 2008–09 and PA (number of days per week active for at least 60 minutes) in 2010–11 (N=1,001). Poisson regression models were fitted for each groups. Among boys, English language preference (pUS-born=0.045, pMexico-born=0.008) and higher subjective social status (pUS-born=0.002, pMexico-born=0.031) were associated with increased PA. Body image dissatisfaction was associated with decreased PA in Mexico-born girls (p=0.007). Sensation-seeking tendencies were associated with increased PA among all groups; anxiety was associated with decreased PA among all but U.S.-born boys. Tailoring PA interventions to key sex-specific psychosocial correlates rather than country of birth may enhance efficacy of interventions to increase PA levels among Mexican heritage adolescents.

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“…Table 1 reports descriptive data for the dependent variable of the count of days of physical activity and for the independent variables used in the analysis as predictors of the count (all four of the independent variables are dummy variables). The independent variables reflect the socioeconomic and demographic characteristics of the respondents that have been shown in the literature to be related to one's days per week of physical activity [11][12][13][14][15].…”

Section: Methodsmentioning

confidence: 99%

Avoiding Inferential Errors in Public Health Research: The Statistical Modelling of Physical Activity Behavior

Amuta

Poston

2014

Int. J. Stats. Med. Res.

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Background: A review of the health behavior literature on the statistical modeling of days of physical activity (PA) indicates that in many instances linear regression models have been used. It is inappropriate statistically to model a count dependent variable such as days of physical activity with Ordinary Least Squares (OLS). Many count variables have skewed distributions, and, also, have a preponderance of zeroes. Count variables should not be treated as continuous and unbounded. If OLS is used, estimations of the regression will frequently turn out to be inefficient, inconsistent and biased, and such outcomes could well have incorrect impacts on health programs and policies. Methods: We considered three statistical methods for modelling the distribution of days of PA data for respondents in the 2013 Health Information Trends Survey (HINTS). The three regression models analyzed were: Ordinary Least Squares (OLS), Negative Binomial (NBRM), and Zero-inflated Negative Binomial (ZINB). We used the exact same predictor variables in the three models. Our results illustrate the differences in the results. Results: Our analyses of the PA data demonstrated that the ZINB model fits the observed PA data better than either the OLS or the NBRM models. The coefficients and standard errors differed in the zero-inflated count models from the other models. For instance, the ZINB coefficient for the association between income and PA behavior was not statistically significant (p>0.05), whereas in the NBRM and in the OLS models, it was statistically significant (p<0.05). Conclusions: The inappropriate use of regression models could well lead to wrong statistical inferences. Our analyses of the number of days of moderate PA demonstrated that the ZINB count model fits the observed PA data much better than the OLS model and the NBRM.

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Gender Differences in Sociodemographic and Behavioral Influences of Physical Activity in Mexican-Origin Adolescents

Abstract: Background-Understanding the factors that contribute to physical activity (PA) in Mexicanorigin adolescents is essential to the design of effective efforts to enhance PA participation in this population.

Cited by 11 publications

References 55 publications

Sensation‐seeking genes and physical activity in youth

Sensation‐seeking genes and physical activity in youth

Correlates of Physical Activity Differ by Sex and Country of Birth Among Mexican-Heritage Youth

Avoiding Inferential Errors in Public Health Research: The Statistical Modelling of Physical Activity Behavior

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