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 = .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.

Look question dos: Prospective moderators of father or mother–child PA matchmaking since the measured 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 Concern step 3: Relationships anywhere between parents’ and you will child’s physical working out since the counted from the 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 (r_partial = .14). The model accounted for 1.8–5.2 % variance in children’s PA.

Discussion

The purpose of this research were to glance at the connection anywhere between pedometer-counted actions/day’s mothers in addition to their youngsters, and you will whether which relationship ranged by intercourse (parent, child), intercourse homogeneity, pounds standing (parent, child), weight reputation homogeneity, mother or father training, household money, and you will city-height SES. We plus analyzed the moms and dad–man PA dating while the measured by surveys. Whenever PA are mentioned via pedometers, i seen a life threatening relationship free gay hookup app between parents’ and children’s PA. After that, that it relationships are healthier to have high income group and you may parents with a graduate degree, nevertheless effects failed to arrived at analytical benefit. None of your own other factors moderated so it relationships. Using questionnaires, a fairly quicker parent–boy PA relationships try discover.