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, children took approximately 260 additional steps. The model explained 8.8–15.4 % variance in children’s steps.
Lookup question 2: Potential moderators of your mother–child PA 
relationships as the counted 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).
Look Concern 3: Dating ranging from parents’ and you can kid’s physical working out because measured by the questionnaires
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 goal of this study would be to examine the partnership anywhere between pedometer-measured measures/day’s mothers in addition to their children, and you can whether or not it dating ranged from the sex (father or mother, child), sex homogeneity, lbs reputation (mother, child), lbs reputation homogeneity, parent education, home earnings, and city-level SES. I including reviewed brand new mother or father–kid PA matchmaking due to the fact counted of the surveys. Whenever PA is actually mentioned thru pedometers, we observed a serious dating ranging from parents’ and you may kid’s PA. After that, which dating was more powerful to have higher earnings family and parents having a scholar knowledge, nevertheless the consequences didn’t started to statistical benefit. Not one of other variables moderated that it relationship. Using questionnaires, a relatively faster father or mother–child PA relationship is actually found.