Sample characteristics are provided in Table 1. The prevalence of overweight and obesity 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, best hookup apps married children took approximately 260 additional steps. The model explained 8.8–15.4 % variance in children’s steps.
Research matter 2: Potential moderators of your own father or mother–kid PA relationships once the mentioned by 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).
Look Question step 3: Relationships anywhere between parents’ and you can kid’s physical activity due to the fact mentioned of the surveys
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.
Dialogue
The purpose of this research was to look at the relationship ranging from pedometer-measured procedures/day’s moms and dads as well as their children, and whether this matchmaking varied from the sex (father or mother, child), gender homogeneity, weight position (mother or father, child), pounds reputation homogeneity, moms and dad degree, family income, and urban area-peak SES. We also assessed the newest father or mother–kid PA dating since the counted by surveys. When PA is measured thru pedometers, i observed a life threatening dating ranging from parents’ and kid’s PA. After that, so it matchmaking was more powerful getting large income group and parents which have a graduate training, although effects did not come to analytical value. Nothing of additional factors moderated it dating. Playing with forms, a somewhat quicker mother or father–kid PA matchmaking try discovered.