Dataset Information

Do children's expectations about future physical activity predict their physical activity in adulthood?

ABSTRACT:

Background

Much of the population fails to meet recommended physical activity (PA) levels, but there remains considerable individual variation. By understanding drivers of different trajectories, interventions can be better targeted and more effective. One such driver may be a person's physical activity identity (PAI)-the extent to which a person perceives PA as central to who they are.

Methods

Using survey information and a unique body of essays written at age 11 from the National Child Development Study (N?=?10 500), essays mentioning PA were automatically identified using the machine learning technique support vector classification and PA trajectories were estimated using latent class analysis. Analyses tested the extent to which childhood PAI correlated with activity levels from age 23 through 55 and with trajectories across adulthood.

Results

42.2% of males and 33.5% of females mentioned PA in their essays, describing active and/or passive engagement. Active PAI in childhood was correlated with higher levels of activity for men but not women, and was correlated with consistently active PA trajectories for both genders. Passive PAI was not related to PA for either gender.

Conclusions

This study offers a novel approach for analysing large qualitative datasets to assess identity and behaviours. Findings suggest that at as young as 11?years old, the way a young person conceptualizes activity as part of their identity has a lasting association with behaviour. Still, an active identity may require a supportive sociocultural context to manifest in subsequent behaviour.

SUBMITTER: Pongiglione B

PROVIDER: S-EPMC7746399 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Do children's expectations about future physical activity predict their physical activity in adulthood?

Pongiglione Benedetta B Kern Margaret L ML Carpentieri J D JD Schwartz H Andrew HA Gupta Neelaabh N Goodman Alissa A

International journal of epidemiology 20201001 5

<h4>Background</h4>Much of the population fails to meet recommended physical activity (PA) levels, but there remains considerable individual variation. By understanding drivers of different trajectories, interventions can be better targeted and more effective. One such driver may be a person's physical activity identity (PAI)-the extent to which a person perceives PA as central to who they are.<h4>Methods</h4>Using survey information and a unique body of essays written at age 11 from the Nationa ...[more]

PMID: 33011758

Similar Datasets

Project description:BackgroundIdentifying individuals who are unlikely to adhere to a physical exercise regime has potential to improve physical activity interventions. The aim of this paper is to develop and test adherence prediction models using objectively measured physical activity data in the Mobile Phone-Based Physical Activity Education program (mPED) trial. To the best of our knowledge, this is the first to apply Machine Learning methods to predict exercise relapse using accelerometer-recorded physical activity data.MethodsWe use logistic regression and support vector machine methods to design two versions of a Discontinuation Prediction Score (DiPS), which uses objectively measured past data (e.g., steps and goal achievement) to provide a numerical quantity indicating the likelihood of exercise relapse in the upcoming week. The respective prediction accuracy of these two versions of DiPS are compared, and then numerical simulation is performed to explore the potential of using DiPS to selectively allocate financial incentives to participants to encourage them to increase physical activity.Resultswe had access to a physical activity trial data that were continuously collected every 60 sec every day for 9 months in 210 participants. By using the first 15 weeks of data as training and test on weeks 16-30, we show that both versions of DiPS have a test AUC of 0.9 with high sensitivity and specificity in predicting the probability of exercise adherence. Simulation results assuming different intervention regimes suggest the potential benefit of using DiPS as a score to allocate resources in physical activity intervention programs in reducing costs over other allocation schemes.ConclusionsDiPS is capable of making accurate and robust predictions for future weeks. The most predictive features are steps and physical activity intensity. Furthermore, the use of DiPS scores can be a promising approach to determine when or if to provide just-in-time messages and step goal adjustments to improve compliance. Further studies on the use of DiPS in the design of physical activity promotion programs are warranted.Trial registrationClinicalTrials.gov NCT01280812 Registered on January 21, 2011.

Project description:Abstract Background Experiences of childhood cancer and physical late effects can potentially increase various components of worries about employment among unemployed adult survivors of childhood cancer, but the nature of these effects on worries is unknown. Aims This study aimed to describe worries about employment among unemployed adult survivors of childhood cancer through a comparison with those among the unemployed general population and to clarify the components of worries about employment affected by physical late effects. Method and results Worries about employment were assessed using nine items in the International Survey of Youth Attitude conducted by the Japanese Cabinet Office. Physical late effects among unemployed survivors were evaluated by their attending physicians. Data from the unemployed general population were extracted from the International Survey of Youth Attitude. We used propensity score and multiple regression analysis to estimate the impact of childhood cancer and physical late effects on worries about employment. We surveyed 48 unemployed survivors and 286 members of the unemployed general population. Unemployed survivors reported significantly higher score of worries about health and physical well‐being than did the unemployed general population (Cohen's f2 = 0.007). Meanwhile, unemployed survivors reported significantly lower scores of worries about work ability, interpersonal relationships at workplaces, age until which they can work, layoffs, income, job transfers, and possibility and continuity of employment than did the unemployed general population (Cohen's f2 = 0.002‐0.018). Unemployed survivors with physical late effects reported significantly higher scores on all components of worries about employment than did those without physical late effects (Cohen's f2 = 0.137‐1.304). Conclusion Physical late effects rather than experiences of childhood cancer have large impacts on various worries about employment among unemployed survivors. It would be valuable to understand and assess systematically the impact of physical late effects on employment in unemployed survivors.

Project description:BackgroundPhysical literacy (PL) is a multi-dimensional concept that provides a holistic understanding of movement and physical activity. PL contains an affective, a physical, and a cognitive domain, which together lay the foundation for the individual's capacity and the tendency for participating in physical activities currently and throughout life. PL is increasingly regarded as a 'cause of the causes' to health promotion. Cross-sectional studies have shown associations between children's PL, physical activity behaviours, and well-being. This study aims to examine the associations between Danish children's PL and their physical and psychosocial well-being and whether the associations are mediated by moderate- to vigorous intensity physical activity (MVPA).MethodsCross-sectional data from Danish schoolchildren aged 7-13 years were collected in Jan-Dec 2020 in the Danish Assessment of Physical Literacy (DAPL) project. PL was assessed with the DAPL which measures the affective, cognitive, and physical domains of PL. MVPA (min/day) was measured with accelerometers (Axivity), psychosocial well-being was measured with The Strengths and Difficulties Questionnaire, and physical well-being was measured with the KIDSCREEN questionnaire. Structural equation models were constructed with PL and MVPA as predictors of physical well-being and four aspects of psychosocial well-being.ResultsA positive moderate association between PL and physical well-being, partly mediated by MVPA was observed. PL was positively associated with the positive aspects of psychosocial well-being and negatively associated with the negative aspects (behaviour problems). None of the associations between PL and aspects of psychosocial well-being were mediated by MVPA.ConclusionsThe study contributes to evidence on the link between PL, physical activity, and health outcomes. The study found beneficial relations between PL and physical and psychosocial well-being. MVPA mediated part of the relationship between PL and physical well-being but not psychosocial well-being.

Project description:BackgroundPhysical activity (PA) in school-aged children is imperative for physical and mental development. However, there has been reduced PA among children in recent years owing to environmental changes, resulting in declining physical strength and athletic ability. Although parents' and children's PA has been found to be correlated, the specific parental caregiving attitudes associated with children's actual levels of PA during school-age years remain unknown. Therefore, this study aimed to examine the relationship between parental support for PA and children's levels of PA.MethodsIn 2017, a self-reported questionnaire survey was administered to 1,515 third-grade students (8-9 years old) and their caregivers in Nagoya, Aichi, a major metropolitan area in Japan. The main items surveyed included the attitudes of children and parents towards PA and the children's actual PA level. Multiple regression analysis was conducted with parental involvement related to PA as the explanatory variable and children's PA as the objective variable.ResultsIn total, 717 children with valid responses were included in the analysis. The mean age of the children was 9.08 ± 0.33 years; 366 (51.0%) were boys, and 351 (49.0%) were girls. For moderate-to-vigorous and vigorous PA, PA levels tended to be significantly higher in children whose parents provided logistic support such as enrolling their children in a sports club. However, for moderate PA and walking, PA levels tended to be significantly higher in children whose parents used community resources. Modeling and limiting sedentary activities were not associated with children's PA.ConclusionsThe results of this study suggest that direct parental assistance for PA such as logistic support encourages children to engage in moderate-to-vigorous PA; in addition, parental use of community resources may encourage children to engage in moderate and light PA such as walking. Conversely, indirect and negative involvement such as modeling and limiting sedentary activities were not associated with children's PA. Therefore, logistic support may need to be strengthened to encourage moderate-to-vigorous and vigorous PA, which is important for children's health.

Dataset Information

Do children's expectations about future physical activity predict their physical activity in adulthood?

Background

Methods

Results

Conclusions

Publications

Do children's expectations about future physical activity predict their physical activity in adulthood?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets