Increasing physical activity among women with young children: Results from the Proactive Mums Project

Context Evidence from the Australian Longitudinal Study of Women's Health suggests that mothers of young children have lower levels of physical activity (PA) than women of similar age without children. Objectives The aim of the ProActive Mums project was to determine the relative efficacy of two strategies designed to increase the proportion of mothers of young children who are meeting current PA guidelines, utilising child care centres (CCCs) as the setting for recruitment. Study Design The project used a randomised (after stratification to ensure even representation of CCCs from differing socio-economic areas) design incorporating repeated data collection from women in three groups, each consisting of 7 childcare centres (CCCs). Baseline surveys were completed by 554 mothers, with follow-up data collection immediately post-Intervention (8 weeks after baseline) and again 5 months later. Women from CCCs in Group 1 (control) received only the surveys throughout the duration of the project. Women from CCCs in Group 2 (information only) were given a print intervention, and women from CCCs in Group 3 were (in addition to being given the same print intervention as women from CCCs in Group 2) invited to to contribute to the development of, and participate in, strategies for the promotion of PA among mothers of young children. The two intervention strategies were extensively evaluated through a series of surveys and interviews. The Intervention The print intervention prescribed for women from CCCs in Group 2 and Group 3 consisted of an 8-page booklet containing motivational messages and information about physical activity. Women from CCCs in Group 3 were also invited to attend meetings at their CCC to identify strategies for increasing their PA. Contacts were made with key stakeholders in the community, including managers of sporting and recreation facilities, childcare service providers, and local councils. A wide range of strategies was developed during the intervention phase of the project, which specifically focused on the need to increase partner support and self-efficacy (or the confidence to be physically active). Results The mean age of participants was 33 (+ 4.8) years, and the mean number of children per family unit was 2.2 (± 0.9). At baseline, fewer than half the women were meeting current guidelines for adequate PA for health benefit, and there were no significant differences between groups in the proportion of women who were adequately active for health benefit. Women in Group 3 were significantly more likely to meet the guidelines at post-intervention follow-up than controls [OR = 1.71 (1.05-2.77)] after controlling for age and PA at baseline. There was no significant effect of the print intervention alone on meeting guidelines at post-intervention follow-up compared with controls, after controlling for age and PA at baseline [OR = 1.15 (0.70-1.89)]. Changes in Partner Support (PS) and Self Efficacy (SE) significantly predicted meeting current PA guidelines at post-intervention follow-up after controlling for baseline PA [∆ PS: OR = 2.29 (1.46-3.58); ∆ SE: OR = 1.86 (1.17- 2.94)]. The intervention effect in Group 3 was not maintained at long-term follow-up. Conclusions The findings indicate that a community participation approach that facilitates increased partner support and self-efficacy can be effective in increasing PA among mothers of young children. Changes in physical activity were found to be mediated by changes in partner support and self-efficacy for physical activity, suggesting that the intervention successfully targeted the individual characteristics it intended to, and that these variables do play an important role in increasing physical activity among women with young children. It is clear that further work needs to be done to explore methods of translating the short-term intervention effect shown in this study into long-term changes in PA behaviour. This study also provided insight into measurement issues in PA research and raised questions about self-report measures of PA and perceived constraints to being physically active. The results from post-study qualitative interviews suggest that many women at this life-stage experience time constraints which, when accompanied by a lack of partner support and financial constraints, make leisure-time PA virtually impossible for many women. Future strategies might focus on targeting this population immediately prior to this life-stage in an attempt to encourage habitual physical activity before women have children. Increasing PA in this population should also address the entire family unit, and consider the way leisure-time is negotiated among the adults within a household. Social change and increased awareness of the range of benefits of PA for women with children are additional strategies to be considered.

Nifty after fifty: evaluation of a physical activity directory for older people

Objective: To develop a physical activity directory (PAD) for Brisbane people over the age of 50 years for distribution by two methods (given or requested), and to determine its effectiveness in raising awareness and encouraging older people to participate in local physical activity options. Methods: Baseline demographic data and stage of change was collected from 224 participants who received the directory. Participants were interviewed by telephone six weeks later to determine their use of the directory on a number of dimensions. Results: Most participants interviewed at follow-up remembered reading the directory. Participants who requested the directory were significantly more likely than those who were given it to: be contemplators, read the directory, plan to ring a number, plan to attend a class, and to share the directory with others. Participants who were contemplators were significantly more likely to have participated in physical activity of their own and rang a number from the directory. The directory increased over half the participants' awareness of local physical activity options, yet only 7% reported ringing a number and 15% reported doing their own physical activity. Conclusions: The directory was more effective in raising awareness about physical activity options than encouraging people to participate in physical activity, and participants with short-term plans to be more active were more likely to have used the directory. Implications: The directory, even when linked with other services, raises awareness about physical activity options, but has minimal short-term influence on participation.

International differences in management of physical activity data: Can they explain some of the difference in prevalence estimates?

Background: National physical activity data suggest that there is a considerable difference in physical activity levels of US and Australian adults. Although different surveys (Active Australia and BRFSS) are used, the questions are similar. Different protocols, however, are used to estimate “activity” from the data collected. The primary aim of this study was to assess whether the 2 approaches to the management of PA data could explain some of the difference in prevalence estimates derived from the two national surveys. Methods: Secondary data analysis of the most recent AA survey (N = 2987). Results: 15% of the sample was defined as “active” using Australian criteria but as “inactive” using the BRFSS protocol, even though weekly energy expenditure was commensurate with meeting current guidelines. Younger respondents (age < 45 y) were more likely to be “misclassified” using the BRFSS criteria. Conclusions: The prevalence of activity in Australia and the US appears to be more similar than we had previously thought.

The relationship between fundamental movement skills and self-reported physical activity during Finnish junior high school

Background: Previous studies have shown that fundamental movement skills (FMS) and physical activity are related. Specifically, earlier studies have demonstrated that the ability to perform a variety of FMS increases the likelihood of children participating in a range of physical activities throughout their lives. To date, however, there have not been studies focused on the development of, or the relationship between, these variables through junior high school (that is, between the ages of 13 and 15). Such studies might provide important insights into the relationships between FMS and physical activity during adolescence, and suggest ways to design more effective physical education programmes for adolescents. Purpose: The main purposes of the study are: (1) to investigate the development of the students' self-reported physical activity and FMS from Grade 7 to Grade 9, (2) to analyse the associations among the students' FMS and self-reported physical activity through junior high school, (3) to analyse whether there are gender differences in research tasks one and/or two. Participants and setting: The participants in the study were 152 Finnish students, aged 13 and enrolled in Grade 7 at the commencement of the study. The sample included 66 girls and 86 boys who were drawn from three junior high schools in Middle Finland. Research design and data collection: Both the FMS tests and questionnaires pertaining to self-reported physical activity were completed annually during a 3 year period: in August (when the participants were in Grade 7), January (Grade 8), and in May (Grade 9). Data analysis: Repeated measures multivariate analysis of variances (MANOVAs) were used to analyse the interaction between gender and time (three measurement points) in FMS test sumscores and self-reported physical activity scores. The relationships between self-reported physical activity scores and fundamental movement skill sumscores through junior high school were analysed using Structural Equation Modelling (SEM) with LISREL 8.80 software. Findings: The MANOVA for self-reported physical activity demonstrated that both genders' physical activity decreased through junior high school. The MANOVA for the FMS revealed that the boys' FMS sumscore increased whereas the girls' skills decreased through junior high school. The SEM and squared multiple correlations revealed FMS in Grades 7 and 8 as well as physical activity in Grade 9 explained FMS in Grade 9. The portion of prediction was 69% for the girls and 55% for the boys. Additionally, physical activity measured in Grade 7 and FMS measured in Grade 9 explained physical activity in Grade 9. The portion of prediction was 12% for the girls and 29% for the boys. In the boys' group, three additional paths were found; FMS in Grade 7 explained physical activity in Grade 9, physical activity in Grade 7 explained FMS in Grade 8, and physical activity in Grade 7 explained physical activity in Grade 8. Conclusions: The study suggests that supporting and encouraging FMS and physical activity are co-related and when considering combined scores there is a greater likelihood of healthy lifelong outcomes. Therefore, the conclusion can be drawn that FMS curriculum in school-based PE is a plausible way to ensure good lifelong outcomes. Earlier studies support that school physical education plays an important role in developing students FMS and is in a position to thwart the typical decline of physical activity in adolescence. These concepts are particularly important for adolescent girls as this group reflects the greatest decline in physical activity during the adolescent period.