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 (r_limited = http://www.hookupfornight.com/lesbian-hookup-apps/.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 dos: Possible moderators of your own parent–kid PA dating once the mentioned because of 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, r_partial = .09), and parent steps and education (B = .38, p = .02, r_partial = .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).

Lookup Matter step three: Relationship ranging from parents’ and kid’s exercise just like the counted because of 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 (r_partial = .14). The model accounted for 1.8–5.2 % variance in children’s PA.

Discussion

The intention of this study would be to consider the partnership anywhere between pedometer-mentioned methods/day’s parents and their people, and whether that it relationship ranged because of the sex (father or mother, child), sex homogeneity, weight status (father or mother, child), weight standing homogeneity, parent knowledge, household money, and urban area-height SES. We plus examined the brand new mother or father–man PA matchmaking once the measured by forms. When PA was mentioned through pedometers, i observed a critical dating anywhere between parents’ and you will kid’s PA. Next, it relationship try stronger getting higher money parents and you will moms and dads with a scholar degree, nevertheless the consequences don’t started to statistical benefits. Nothing of additional factors moderated so it matchmaking. Using surveys, a comparatively smaller moms and dad–guy PA relationships try discovered.