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, hookup app for asian men 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 dos: Possible moderators of your parent–boy PA relationships as measured 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, 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 Question 3: Matchmaking ranging from parents’ and you can child’s physical activity since 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 (rpartial = .14). The model accounted for 1.8–5.2 % variance in children’s PA.
Conversation
The intention of this research was to have a look at the relationship anywhere between pedometer-measured procedures/day’s parents and their college students, and you can whether or not this dating varied from the intercourse (moms and dad, child), sex homogeneity, lbs position (father or mother, child), lbs standing homogeneity, mother or father studies, home money, and you will area-height SES. I plus analyzed the mother–son PA relationship just like the mentioned of the questionnaires. Whenever PA are mentioned via pedometers, we seen a critical relationships between parents’ and you can child’s PA. Further, so it matchmaking try more powerful getting large money family and moms and dads that have a graduate degree, nevertheless effects didn’t come to mathematical importance. None of other factors moderated which dating. Playing with surveys, a fairly shorter mother or father–kid PA dating was receive.