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Search concern step one: Relationships between parents’ and you may kid’s PA given that mentioned of the pedometers

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Search concern step one: Relationships between parents’ and you may kid’s PA given that mentioned of the pedometers

Sample characteristics are provided in Table 1. The prevalence of overweight and obesity hookup apps college were 22 % for the children and 45 % for the parents. For the initial assessment participation rates varied by season; 10 % participated in the winter, 14 % in the spring, 48 % in the summer, and 28 % in the fall. The pedometer assessment participation rates also varied by season; 12 % of the parent–child dyads participated in the winter, 15 % in the spring, 44 % in the summer, and 29 % in the fall. Boys (M = 9075, SD = 4832) took more steps than girls (M = 8095, SD = 4507), t(1339) = 3.65, p < .001, d = .30. No significant differences existed in steps/day between mothers (M = 7773, SD = 3136) and fathers (M = 7568, SD = 7737), t(41870) = ?.66, p = .51, d = .07.

The bivariate, unadjusted Pearson’s correlation between the parents’ and children’s steps was r = .25, p < .001. The results from the linear regression analysis is presented in Table 2. After controlling for covariates, average parents’ steps predicted children’s steps (B = 0.26, p < .001), with small to medium sized effects (rlimited = .24). That is, for every 1,000-step increase in parents’ steps, children took approximately 260 additional steps. The model explained 8.8–15.4 % variance in children’s steps.

Browse question 2: Potential moderators of one’s father or mother–son PA relationships because measured by the pedometers

Table 3 contains the results from the tests of moderation, along with the bivariate parent-child step correlations separated by levels of the moderators. None of the interactions were significant at the p < .01 level. However the interaction between parent steps and income (B = .25, p = .07, rpartial = .09), and parent steps and education (B = .38, p = .02, rpartial = .11) both approached significance. Specifically, in higher income households (n = 475; >$80,000/year) the parent–child PA relationship was significant (B = .29, p < .001) and in lower income households it was not (n = 137, <$80,000/year; B = .04, p = .98). Further, parents who had completed graduate school (n = 86) had a stronger parent–child PA relationship (B = .61, p < .001) than parents without a graduate degree (n = 526, B = .23, p < .001).

Research Concern step three: Matchmaking anywhere between parents’ and you can children’s physical activity just like the measured by forms

The bivariate, unadjusted Pearson’s correlation between parents’ and children’s subjectively measured PA was r = .15, p < .01. The results from the linear regression analysis of the parent–child PA relationship using subjectively measured PA is presented in Table 2. After controlling for covariates, parents' leisure time MVPA (METS/day) was significantly related to children's proxy-reported PA (min/day; B = 2.18, p < .01), with small sized effects (rpartial = .14). The model accounted for 1.8–5.2 % variance in children’s PA.

Discussion

The objective of this study would be to take a look at the relationship anywhere between pedometer-mentioned strategies/day of mothers and their children, and you will whether which dating varied by gender (mother, child), intercourse homogeneity, lbs updates (moms and dad, child), weight reputation homogeneity, mother or father training, household income, and you may town-top SES. I also analyzed new parent–man PA dating as measured from the forms. When PA is actually mentioned thru pedometers, we seen a life threatening relationships anywhere between parents’ and you can children’s PA. Then, it relationships was healthier getting higher earnings family and you can parents that have a graduate training, nevertheless the effects don’t arrived at mathematical benefit. Nothing of the other variables moderated which dating. Using surveys, a somewhat faster parent–guy PA dating try receive.