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APPLIED SCIENCES: Psychobiology and Behavioral Strategies

Parents’ Activity-Related Parenting Practices Predict Girls’ Physical Activity


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Medicine & Science in Sports & Exercise: September 2003 - Volume 35 - Issue 9 - p 1589-1595
doi: 10.1249/01.MSS.0000084524.19408.0C
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The majority of children and adolescents in the United States do not meet recommendations for physical activity, particularly for vigorous activity. Only 36% of children met the Healthy People 2000 goal for vigorous activity (29), and current figures using objective measures of physical activity indicate that fewer than 3% of youth meet Healthy People 2010 objectives for vigorous physical activity (15). In addition, data from multiple national surveys indicate that 14% of youth do not participate in any activity (27). The failure to meet activity recommendations is problematic because low levels of physical activity have been linked to higher rates of Type II diabetes mellitus, hypertension, colon cancer, depression, osteoporosis, and obesity (16,24). Levels of physical activity, or lack of activity, are not uniform among youth. Girls exhibit lower levels of physical activity and fitness than boys (22,27). In addition, physical activity declines as girls and boys approach puberty (27), and this decline is greater for girls than boys (22). Given that girls’ involvement in physical activity appears to decline with the onset of puberty, it is important to determine factors contributing to girls’ sport and activity participation before this point in their development. Such factors are potential targets for intervention efforts to promote physical activity among girls as they transition through adolescence.

Parents are important teachers and social referents for children throughout childhood and adolescence (7). In addition to serving as role models for physical activity, parents are also central in organizing and funding children’s involvement in physical activities. Not surprisingly, therefore, parental participation in physical activity (24,28), encouragement of activity (2,19), and provision of transportation to sporting events (23) have been linked to higher levels of activity among children and adolescents. Parental involvement may be particularly relevant for girls because parent activity and encouragement have been shown to influence activity patterns of girls to a greater extent than boys (4,13,25). Although research indicates that parental influence is important, ways in which mothers and fathers differ in their activity-related parenting practices and the combined influence of mothers and fathers on children’s physical activity are relatively unexplored. Therefore, using a sample of 9-yr-old girls and their parents, the goals of this study were (a) to assess similarities and differences in mothers’ and fathers’ activity-related parenting practices; (b) to assess links between mothers’ and fathers’ parenting strategies and girls’ physical activity; and (c) to examine the combined influence of mothers and fathers on girls’ physical activity, specifically to examine whether there is any added benefit to having two parents who promote and encourage physical activity in comparison with one or no parents.



Participants included 180 9-yr-old non-Hispanic white girls and their mothers and fathers who were enrolled in a longitudinal observational study of girls’ health and development from ages 5 to 9 yr. Families were recruited for participation in the longitudinal study using flyers and newspaper advertisements. In addition, families with age-eligible female children within a five-county radius received letters inviting them to participate in the study. Eligibility criteria for girls’ (and parents’) enrollment in the project included living with their biological parents, the absence of severe food allergies or chronic medical problems affecting food intake, and the absence of dietary restrictions involving animal products. Only data obtained when girls were 9 yr old were used in this study. Girls and their parents visited the laboratory during the summer. Girls were individually interviewed by trained interviewers, and parents completed a series of self-report questionnaires. The study was approved by the Institutional Review board, and written consent was obtained from mothers and fathers. In addition, mothers provided written consent for their daughter’s participation.


Activity-related parenting practices.

A questionnaire assessing parents’ activity-related parenting practices was developed for the purpose of the study. The questionnaire was piloted tested with this sample when girls were 7 yr old. Due to low internal consistency coefficients, additional items were added to the scale, particularly items assessing functional ways in which parents promote physical activity among their daughters. Mothers and fathers completed the revised version of the scale when their daughters were 9 yr old (see Appendix for a copy of the scale). Items were standardized (mean = 0, SD = 1) due to the different number of response options across items; the standardized variables were used in the analyses and the unstandardized values are reported in the s and the text.

Exploratory factor analysis (EFA) using a promax rotation was conducted for half of the sample using SAS version 8.01. Two conceptually distinct factors that we labeled logistic support (three items) and explicit modeling (four items) were identified for mothers and fathers. We chose the label explicit modeling to indicate that parents were intrinsically motivated to be active and intentionally used their behavior to encourage their child to be active and the label logistic support to indicate that parents made provisions, such as enrolling their daughter in sports, which enabled her to be active. Confirmatory factor analysis, using AMOS software, was performed for the second half of the sample and provided clear support for fathers and acceptable support for mothers for the two-factor model identified in the EFA. The items loading onto each factor, the factor loadings for each parent and the fit indices are presented in Figure 1.

Confirmatory factor analysis for the measure of parental support of activity. Note: Item loadings and factor correlations outside of parentheses are for mothers and inside the parentheses are for fathers.

Based on the results of factor analyses, two subscales scores were created for each parent by taking the mean of the items that loaded onto the specific factor (see Appendix). The internal consistency coefficients were as follows: fathers’ logistic support, α = 0.74; fathers’ explicit modeling, α = 0.69; mothers’ logistic support, α = 0.61; and mothers’ explicit modeling, α = 0.75. In terms of the validity of the items, there was some indication that parents who said that they went out of their way to enroll their daughter in sports actually did so more than parents who did not report such efforts. For example, mothers who reported high levels of logistic support had daughters who reported participating in more organized sports (r = 0.30, P < 0.01)

Girls’ physical activity.

Three measures of girls’ physical activity were obtained including general inclination toward activity, participation in organized sports, and physical fitness. The short version of the Children’s Physical Activity (CPA-short) scale was used to assess girls’ general tendency or inclination toward activity (26). The CPA-short contains 10 items and uses a 4-point response scale from 1 = completely true to 4 = completely false (e.g., “I would rather watch TV or play in the house than play outside”). Research supports that validity of this scale: scores on the CPA were found to be significantly related to 1-mile run/walk time (r = −0.43, P < 0.0001), body fat percentage (r = −0.41, P < 0.0001), and BMI (r = −0.32, P < 0.0001) (26). In the current study, Cronbach’s alpha was 0.58 for the CPA.

An activity checklist that was designed for the larger longitudinal study was used to assess girls’ participation in organized sports. Girls were presented with a checklist of 24 activities (e.g., basketball, soccer, and softball) and were asked to indicate whether they participated in the activity at an organized level (i.e., belonged to a team or had lessons or classes). Finally, girls’ physical fitness was assessed using the Progressive Aerobic Cardiovascular Endurance Run (PACER) (10,11). This is a progressive test providing an index of aerobic fitness and is suitable for children of all ages. Children run back and forth between markers spaced 20 m apart at a specified pace that progressively increases. The more “laps” completed and an ability to maintain the specified pace indicate a higher level of aerobic capacity and in turn a higher level of fitness. Previous research illustrates the test-retest reliability of the PACER and has shown that the number of laps completed is significantly and positively correlated with measured V̇O2max (r = 0.69 boys and r = 0.51 for girls) (12).

A summary physical activity score was created for girls using all three measures. An activity score that is based on multiple measures of activity is considered to be more representative of general activity patterns and reduces the error involved in its measurement (8). The summary score was created using principal component analysis and was highly correlated with each individual measure of activity (r = 0.73, P < 0.0001, inclination toward activity; r = 0.70, P < 0.0001, sport participation; r = 0.57, P < 0.0001, fitness). The summary score will be used in all analyses that follow.


Trained staff members collected three measures of height (to the nearest 0.5 cm) and weight (to the nearest 0.1 kg) from girls and their parents. Average height and weight were used to calculate Body Mass Index (BMI: weight (kg)/height (m)2) for girls and their parents. Girls’ BMI values were converted to BMI percentiles using the CDC 2000 growth charts, and girls were classified as overweight if their BMI percentile was ≥ 85 and obese if their BMI percentile was ≥ 95 (9). Parents were classified as overweight and obese based on BMI cutoffs of 25 and 30, respectively (30). In addition to BMI, girls’ percent body fat was assessed using dual energy x-ray absorptiometry (DEXA). Whole body scans were obtained using the Hologic QDR 4500W (S/N 47261) in the array scan mode. Scans are analyzed using whole body software, QDR4500 Whole Body Analysis (Hologic, Inc).

Statistical Analyses

Differences in mothers’ and fathers’ reported logistic support and explicit modeling were assessed using paired t-tests. Associations between (a) parents’ activity support and girls’ physical activity, (b) girls’ physical activity and girls’ weight status, and (c) parents’ activity support and parents’ weight status were examined using Spearman rank correlation analysis. The independent contribution of maternal and paternal logistic support and explicit modeling on girls’ physical activity was assessed using multiple regression analysis. Only families who had data for both parents (N = 170) were included in the regression analysis and for the analyses that follow.

To examine the combined influence of maternal and paternal support on girls’ activity, three parent groups were created. Mothers and fathers were each categorized as providing above or below average support. Above average support was defined as reporting above average logistic support and explicit modeling. The three groups included families in which neither parent (N = 80), one parent (N = 67), or both parents (N = 23) reported above-average support. Girls were classified as exhibiting high or low levels of physical activity based on the mean for the summary activity score. Using the three parent support groups (no parent/one parent/both parents) and girls’ activity groups (high/low), a 2 × 3 chi-square analysis was performed to assess whether girls disproportionately fell into each of the activity groups as a function of their parents’ overall support of their activity. In addition, dummy variable logistic regression was performed to examine whether there were significant differences between each parent group in the percentage of girls who were highly active. No differences in family income, parents’ education, or parents’ work hours were identified for the three parent groups or the two activity groups; therefore, it was not necessary to control for these variables.


Sample characteristics.

Parents were on average in their late 30s or early 40s (mothers’ mean age = 39.5 ± 4.8 yr; fathers’ mean age = 41.6 ± 5.4 yr). Mothers and fathers were generally well educated, and completed a mean of 14.6 (± 2.2) and 14.7 (± 2.6) yr of education, respectively. Nearly all fathers (99%) and approximately three quarters of mothers (78%) were employed with an average of 44.9 (± 11.3) weekly work hours for fathers and 24.4 (± 17.8) for mothers. Family median combined income was >$50,000. Approximately one in three girls were classified as overweight, and 14% were obese. Sixty percent of mothers and 82% of fathers were classified as overweight, and 28% of mothers and 31% of fathers were classified as obese. In terms of girls’ physical activity, girls reported a greater inclination to be active than sedentary (mean = 2.75 ± 0.44), and they participated in an average of two team or organized sports (mean = 2.3 ± 1.31). In addition, 57% of girls exhibited a healthy level of physical fitness (11) (mean number of laps run = 16.2 ± 6.50). This figure, however, is likely to under estimate physical fitness because the lowest reference standard available was for children a year older than girls in this study.

When mean levels of logistic support and explicit modeling were compared for mothers and fathers, results indicated that mothers reported significantly higher levels of logistic support (3.19 ± 0.64) for girls’ activity than fathers (2.77 ± 0.64) (t = 6.12, df = 169, P < 0.0001) and that fathers reported significantly higher levels of explicit modeling (2.86 ± 0.90) than mothers (2.60 ± 0.90) (t = −3.28, df = 169, P < 0.001). Although mothers and fathers tended to report different methods of encouraging their daughters to be physically active, each method was positively correlated for mothers and fathers within families. That is, in families in which mothers reported high levels of support, fathers tended to report high levels of support (see Table 1). In addition, mothers and fathers who reported higher levels of logistic support also reported higher levels of explicit modeling. These results indicate that families who supported their daughter’s physical activity did so in a number of ways across both parents.

Associations between mothers<5001> and fathers<5001> activity-related parenting practices and girls physical activity.

Associations between girls’ physical activity and weight status and between parenting strategies and parents’ weight status were examined for descriptive purposes. Results indicated that girls with higher percent body fat (r = −0.41, P < 0.0001) and girls with higher BMI percentiles (r = −0.25, P < 0.0001) were less physically active. For parents, physical activity-related parenting practices were not linked with their weight status. One exception was mothers’ explicit modeling; mothers who reported higher levels of explicit modeling were less overweight than mothers reporting lower levels of modeling (r = −0.25, P < 0.01).

With respect to associations between parenting strategies and girls’ physical activity, fathers’ explicit modeling and mothers’ logistic support were associated with significantly higher levels of physical activity among their daughters (see Table 1). Results from the regression analysis indicated that mothers’ logistic support (β = 0.21, P < 0.01) and fathers’ explicit modeling (β = 0.24, P < 0.01) were independently associated with higher levels of physical activity among their daughters, after controlling for girls’ percentage body fat (β = −0.38, P < 0.01) (R2 for full model = 0.27; R2 for model with only parenting variables = 0.12).

The chi-square analysis assessing the combined influence of mothers and fathers on girls’ activity indicated that girls disproportionately fell into each of the activity groups as a function of their parents’ overall support of their activity (χ2 (2,170) = 14.45, P = 0.0007). As shown in Figure 2, only 32% of girls from families in which neither parent provided a high level of overall support for their activity were classified as being highly active. This figure increased to 56% for families in which one parent encouraged their daughter to be active and increased again to 70% for families in which both parents encouraged their daughter to be active. Results from the logistic regression analyses indicated that the percentage of girls who were highly active was significantly higher when one versus no parents provided a high level of support (OR = 0.19, CI= 0.08–0.47). However, the difference in the number of girls who were highly active was not statistically significant for families in which one versus two parents reported a high level of support (OR = 1.74, CI= 0.63–4.64). A follow-up analysis focused on the group in which only one parent encouraged activity. In this group, girls’ level of activity did not differ based on whether it was the mother or the father who encouraged activity (χ2 (2,67) = 0.60, P = 0.43).

Combined influence of parents on girls’ physical activity. Note: Different letters indicate significant differences (P < 0.05) between groups in the likelihood of girls being in the high activity group based on the results of the logistic regression analysis.


Mothers and fathers tended to favor different strategies when encouraging their daughters to be active. Mothers provided higher levels of logistic support, that is, they were more likely to enroll their daughters in sports and to support their daughters at sporting events. Fathers, in contrast, were more likely to use their own behavior to encourage activity, for example, by leading a family outing involving activity. Although parents tended to favor different strategies to encourage their daughter to be physically active, both forms of support were associated with higher levels of physical activity among girls. In addition, a dose-type response was noted in the combined impact of parents on girls’ physical activity. Only 30% of girls reported high levels of physical activity when neither parent provided a high level of overall support for activity. This figure increased to 56% when one parent provided a high level of support and increased again to 70% when both parents provided high levels of support.

Previous research has yielded conflicting evidence about the comparative importance of mothers versus fathers on children’s physical activity (5,6,28). This lack of consistency may be due to the fact that previous studies have generally adopted single item questions to assess parents’ own activity or their encouragement of activity. By developing a questionnaire that assessed a broader range of parenting practices that may promote physical activity, we found that mothers and fathers report similar levels of encouragement, but their methods tend to differ. The different support strategies adopted by mothers and fathers in this study (i.e., logistic support versus direct modeling) mirror gender differences identified in general parenting strategies in that mothers generally adopt a nurturing and organizational role and fathers adopt a more hands-on, playful approach to parenting (14). The fact that each method was associated with higher levels of physical activity among girls is encouraging because it suggests that parents can be given the freedom to provide activity support in a manner that is most comfortable to them.

When assessing the combined impact of mothers and fathers on girls’ physical activity, results indicated that girls were significantly more likely to be highly active when at least one parent reported a high level of support in contrast to when no parents provided a high level of support. In addition, in families in which one parent provided a high level of support, it did not matter whether it was the mother or the father. These findings suggest that in situations where it is infeasible for both parents to provide a high level of support, the positive influence of parental support may still be evident if at least one parent is supportive. Although it may be assumed that parental support leads to higher levels of physical activity among children, the directionality of this relationship cannot be determined in this study due to its cross-sectional design. For example, the pattern of associations may also reflect the possibility that highly active girls elicited higher levels of support from their parents. Further research using a longitudinal sample is needed to determine whether support from parents is associated with increases in children’s physical activity and whether parental support protects girls against the noted decline in physical activity across adolescence (27).

Although parental support was associated with higher levels of physical activity among girls, parental support explained a relatively small amount of variance in girls’ activity (12%). This is likely to reflect the fact that physical activity among children is shaped by many factors including child specific characteristics (e.g., age, gender, and perceived self-efficacy) (1,18), parents (17), peers (17), the school environment (21), and community level factors (e.g., neighborhood safety and access to play areas (3,20). In addition, the relative contribution of these factors is likely to change at various developmental phases. Results from this study are likely to underestimate the contribution of parents because there are domains of parental support that were not assessed such as the extent to which parents restructure the home to make it less conducive to sedentary activity and because we did not have a direct measure of physical activity such as accelerometers. Although combining information from two questionnaires and an objective measure of fitness (an indirect measure of physical activity) provides a more comprehensive measure of physical activity than a single questionnaire, direct assessment of physical activity provides a more reliable and valid assessment of physical activity. Using a direct measure of physical activity would likely increase the predictive power of parental support with respect to children’s physical activity due to lower levels of measurement error.

In summary, although mothers and fathers tended to report different forms of activity support, both were associated with higher levels of physical activity among their 9-yr-old daughters. Links between parental support and girls’ activity provide evidence of the predictive validity of the measure of parents’ activity-related parenting practices that was developed for this study. Findings from this study, in combination with what we know about the benefits of physical activity among children and adolescents, suggest that mothers and fathers can play an important role in promoting the physical and emotional well-being of their daughters by encouraging them to be physically active. Future research could build on this study by examining associations between parental support and children’s activity using more diverse samples and families with alternative living situations (this study included two-parent, middle-income, non-Hispanic white families), by using a longitudinal design to assess the temporal sequence of parental support and children’ physical activity, by assessing additional domains of parental support, and by using a direct measure of physical activity. Finally, the measure of activity-related parenting practices may be useful in future research. For example, the scale could be modified to be completed by children with reference to their parents, it could be used to assess change in parenting practices across time, and it could be used to assess mediation models in intervention research.

The current study was initiated and analyzed by the authors.

This research was supported by the National Institute of Health grant no. NIH HD 32973. The services provided by the General Clinical Research Center of the Pennsylvania State University are greatly appreciated and supported by NIH Grant M01 RR10732.



APPENDIX: Activity-related parenting practices scale.


1. Antshel, K., and E. Anderman. Social influences on sports participation during adolescence. J. Res. Dev. Educ. 33: 85–94, 2000.
2. Bungum, T., and M. Vincent. Determinants of physical activity among female adolescents. Am. J. Prev. Med. 13: 115–122, 1997.
3. Dzewaltowski, D. The ecology of physical activity and sport: merging science and practice. J. Appl. Sport Psychol. 9: 254–276, 1997.
4. Fogelholm, M., O. Nuutinen, M. Pasanen, E. Myohanen, and T. Saatela. Parent-child relationship of physical activity patterns and obesity. Int. J. Obes. Relat. Metab. Disord. 23: 1262–1268, 1999.
5. Greendorfer, S., and J. Lewko. Role of family members in sport socialization of children. Res. Q. 49: 146–152, 1978.
6. Gregson, J., and A. Colley. Concomitants of sport participation in male and female adolescents. Int. J. Sport Psychol. 17: 10–22, 1986.
7. Harter, S. Causes, correlates and the functional role of global self-worth: a life span perspective. In: Perspectives of Competence and Incompetence across the Lifespan, J. Kolligian and R. Sternberg (Eds.). New Haven, CT: Yale University Press, 1990, pp. 67–98.
8. Kishton, J., and K. Widaman. Unidemensional versus domain representative parceling of questionnaire items: an empirical example. Educ. Psychol. Meas. 54: 757–765, 1994.
9. Kuczmarski, R., C. Ogden, L. Grummer-Strawn, et al. CDC growth charts: United States. Advance data from vital and health statistics. Hyattsville, MD: National Center for Health Statistics, Publication 314, 2000, p. 28.
10. Leger, L. A., and J. Lambert. A maximal multistage 20-m shuttle run test to predict VO2max. Eur. J. Appl. Physiol. Occup. Physiol. 49: 1–12, 1982.
11. Leger, L. A., D. Mercier, C. Gadoury, and J. Lambert. The multistage 20 metre shuttle run test for aerobic fitness. J. Sports Sci. 6: 93–101, 1988.
12. Liu, N., S. Plowman, and M. Looney. The reliability and validity of the 20-meter shuttle test in American students 12 to 15 years old. Res. Q. Exerc. Sport 63: 360–365, 1992.
13. Myers, L., P. Strikmiller, L. Webber, and G. Berenson. Physical and sedentary activity in school children grades 5–8: the Bogalusa Heart Study. Med. Sci. Sports Exerc. 28: 852–859, 1996.
14. Parke, R. Fathers and families. In: Handbook of Parenting, M. H. Bornstein (Ed.). Hillsdale, NJ: Erlbaum, 1995, pp. 27–63.
15. Pate, R., P. Freedson, J. Sallis, et al. Compliance with physical activity guidelines: prevalence in a population of children and youth. Ann. Epidemiol. 12: 303–308, 2002.
16. Pate, R., M. Pratt, S. Blair, et al. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. JAMA 273: 402–407, 1995.
17. Prochaska, J., M. Rodgers, and J. Sallis. Association of parent and peer support with adolescent physical activity. Res. Q. Exerc. Sport 73: 206–210, 2002.
18. Reynolds, K., J. Killen, S. Bryson, et al. Psychosocial predictors of physical activity in adolescents. Prev. Med. 19: 541–551, 1990.
19. Sallis, J., J. Alcaraz, T. Mckenzie, M. Hovell, B. Kolody, and P. Nader. Parental behavior in relation to physical activity and fitness in 9-year-old children. Am. J. Dis. Child. 146: 1383–1388, 1992.
20. Sallis, J., A. Bauman, and M. Pratt. Environmental and policy interventions to promote physical activity. Am. J. Prev. Med. 15: 379–397, 1989.
21. Sallis, J., T. Conway, J. Prochaska, T. Mckenzie, S. Marshall, and M. Brown. The association of school environments with youth physical activity. Am. J. Public Health 91: 618–620, 2001.
22. Sallis, J., J. Prochaska, and W. Taylor. A review of correlates of physical activity of children and adolescents. Med. Sci. Sports Exerc. 32: 963–975, 2000.
23. Sallis, J. F., J. E. Alcaraz, T. L. Mckenzie, and M. F. Howell. Predictors of change in children’s physical activity over 20 months: variations by gender and level of adiposity. Am. J. Prev. Med. 16: 222–229, 1999.
24. Trost, S., L. Kerr, D. Ward, and R. Pate. Physical activity and determinants of physical activity in obese and non-obese children. Int. J. Obes. Relat. Metab. Disord. 25: 822–829, 2001.
25. Trost, S., R. Pate, R. Saunders, D. Ward, M. Dowda, and G. Felton. A prospective study of the determinants of physical activity in rural fifth-grade children. Prev. Med. 26: 257–263, 1997.
26. Tucker, L. A., G. T. Seljaas, and R. L. Hager. Body fat percentage of children varies according to their diet composition. J. Am. Diet. Assoc. 97: 981–986, 1997.
27. U.S. Department of Health and Human Services. Physical Activity and Health: a report of the Surgeon General. Atlanta: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Publication S/N 017-023-00196-5, 1996, pp. 175–207.
28. Vilhjalmsson, R., and T. Thorlindsson. Factors related to physical activity: a study of adolescents. Soc. Sci. Med. 47: 665–675, 1998.
29. Wolf, A., S. Gortmaker, L. Cheung, H. Gray, D. Herzog, and G. Colditz. Activity, inactivity, and obesity: racial, ethnic, and age differences among schoolgirls. Am. J. Public Health 83: 1625–1627, 1993.
30. World Health Organization. Obesity: preventing and managing the global epidemic: report of a WHO consultation on obesity, Geneva, June 3–5, 1997. Geneva: World Health Organization, Publication WHO/NUT/NCD/98.1, 1998.


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