Do generations differ in sports participation and physical activity over the life course? Evidence from multiple datasets

The association between the child's age and mothers' physical activity: results from the population-based German National Cohort study

BACKGROUND

Since physical activity is an important determinant of physical and mental health, lower levels of physical activity among mothers reported in previous research are concerning. The aim of this study was to examine whether physical activity levels differ among mothers depending on the age of the youngest child.

METHODS

Cross-sectional data from the German National Cohort study, comprising 3959 mothers aged 22-72 years with offspring aged 0-54 years (grouped into 0-5, 6-11, 12-17, 18-29 and > 30 years) was used. The Global Physical Activity Questionnaire (GPAQ) was used to assess physical activity among mothers in leisure time, transport and (occupational and non-occupational) work settings, quantified as MET-minutes per week. Means (with 95% confidence interval) of mothers' weekly MET-minutes were visualized in graphs, stratified by mothers' and the youngest child's age. Linear regression analyses assessed the association between the child's age and self-reported time and intensity of mothers' physical activity within each activity domain and for the total physical activity.

RESULTS

Adjusted results suggested that the MET-minutes in work settings were lower among mothers with younger children. This association was clearest in mothers whose youngest child was under 12 years old, among whom lower self-reported physical activity at work compared to mothers with children at age 30 and older was found. No association was observed between the age of the youngest child and mothers' MET-minutes in leisure nor in transport settings. The self-reported physical activity of mothers whose youngest child was in the same child age group was found to be lower with increased maternal age. As expected, the work related activity dominated the self-reported physical activity.

CONCLUSIONS

The results show differences in mothers' self-reported physical activity by the age of the youngest child. The strongest difference was related to physical activity in work settings, indicating the need for supportive actions.

Association of Early Sports Participation With Sedentary Behavior in Community-Dwelling Adults-The Role of Sociodemographic Factors in a Retrospective Epidemiological Study

BACKGROUND

The role of sociodemographic factors in the association between early sports participation (ESP) and sedentary behavior is unclear. We analyzed the association of ESP with sedentary behavior and identified the influence of sociodemographic factors in adulthood.

METHODS

A sample of 264 community-dwelling adults was randomly assessed (42.6 [17.0] y old, 57.6% women). Sociodemographic factors (age, gender, and socioeconomic status) and ESP (retrospectively) were assessed by questionnaire. Sedentary behavior was measured by accelerometer and self-reported for domains identification. The association between ESP and sedentary behavior domains and sociodemographic factors was analyzed by Poisson regression and presented in prevalence ratio (PR). Sociodemographic factors were separately included as covariates to identify their role in the main association analysis.

RESULTS

The ESP prevalence was 56.4% (n = 149). ESP participants included a higher proportion of men (59.7% vs 20.0%), had a lower age (36.8 [15.3] vs 50.8 [15.9]), and included a smaller proportion of individuals with low socioeconomic status (24.8% vs 43.5%) compared with those without ESP. The ESP was inversely associated with older age (PR = 0.58, P < .001 for middle aged; PR = 0.34, P < .001 for older participants), female gender (PR = 0.79, P < .001), low socioeconomic status (PR = 0.63, P = .036), and TV watching (PR = 0.67, P = .011). ESP was associated with driving (PR = 1.50, P = .028), office/paper work (PR = 1.63, P = .012), and using a cellphone (PR = 1.60, P = .009). The age was the main confounding factor of association between ESP and sedentary behavior, followed by socioeconomic status. No mediation role was identified.

CONCLUSION

The ESP was associated with mentally active behavior domains and inversely associated with mentally passive sedentary behavior domains, but this association was majorly affected by sociodemographic factors, mainly by age.

Association of Early Sports Practice with Cardiovascular Risk Factors in Community-Dwelling Adults: A Retrospective Epidemiological Study

BACKGROUND

Sports practice in childhood and adolescence has been inversely related to the chances of developing cardiovascular risk factors (CRFs). However, it is not clear whether sports practice in childhood and adolescence could be inversely related to CRF in adult life.

OBJECTIVES

This study aimed to analyze the association between early sports practice and cardiovascular risk factors in a randomized sample of community-dwelling adults.

METHODS

For this, 265 adults aged ≥ 18 years composed the sample. Cardiovascular risk factors of obesity, central obesity, diabetes, dyslipidemia, and hypertension were collected. Early sports practice was retrospectively self-reported using an appropriate instrument. Total physical activity level was assessed by accelerometry. The association between early sports practice and cardiovascular risk factors in adulthood was analyzed by binary logistic regression, adjusted for sex, age, socioeconomic status, and moderate-to-vigorous physical activity.

RESULTS

Early sports practice was observed in 56.2% of the sample. The prevalence of central obesity (31.5 vs. 50.0%; p = 0.003), diabetes (4.7% vs. 13.7%; p = 0.014), dyslipidemia (10.7% vs. 24.1%; p = 0.005), and hypertension (14.1% vs. 34.5%; p = 0.001) was lower in participants who reported early sports practice. Participants who reported early sports practice in childhood and adolescence were, respectively, 60% (OR = 0.40; 95% CI 0.19-0.82) and 59% (OR = 0.41; 95% CI 0.21-0.82) less likely to have hypertension in adult life when compared to those with no early sports practice, independently of sex, age, socioeconomic status, and habitual physical activity level in adulthood.

CONCLUSION

Early sports practice in childhood and adolescence was a protective factor for hypertension in adulthood.

Physical exercise, depression, and anxiety in 2190 affective disorder subjects

BACKGROUND

This study evaluated associations of PE with symptomatic status in mood and anxiety disorder subjects, and considered many other associated factors so as to expand on comparable previous studies.

METHODS

Consenting adults at a mood disorder center were assessed for associations of PE frequency ([never, past only, ≤once/week] vs. regularly at 2-3- or >3-times/week) with standard psychometric measures of depression and anxiety symptoms, selected demographic, clinical factors, using bivariate and multivariate methods.

RESULTS

Of 2190 subjects (58.8% women; mean age 42.6 years; 44.8% with major depressive, 40.6% bipolar, and 14.6% anxiety disorders), 22.5% currently engaged in regular PE. Such engagement was associated with lower morbidity ratings, youth, male sex, being unmarried, more education, higher socio-economic status (SES), less religious practice, less early abuse, younger age at illness onset and at intake, fewer years ill, lower BMI, fewer siblings, hyperthymic temperament, less time depressed before intake, and living at higher population density. Greater PE-frequency was associated with lower ratings of depression (but not anxiety), male sex, younger age, and lower BMI. Factors independently associated with PE in multivariate modeling ranked by significance: older age at intake ≥ lower BMI > more education > higher SES > male sex.

LIMITATIONS

PE assessment did not include type, intensity or duration. Some information provided may be subject to recall bias, though it should not affect comparisons among subjects.

CONCLUSION

Regularly repeated PE again appeared to be beneficial for patients with depression or anxiety and should be included in their treatment interventions.

Relating Lifetime Activity Behavior to the Current Level of Physical Activity of Older Adults

This study investigates methods of data gathering and management, along with the relationship of lifespan and older adults' activity. Community-dwelling older adults (n = 47, 81.7 ± 3.6 years) completed the Lifetime Leisure Physical Activity Questionnaire. Current activity was assessed by use of accelerometers. The data were converted to the metabolic equivalent of task hours. Correlations between the main outcomes (metabolic equivalent of task/hour, Lifetime Leisure Physical Activity Questionnaire), as well as individual estimation errors for data adjustments, were computed. The accelerometer and Lifetime Leisure Physical Activity Questionnaire data for the last 12 months' activity were associated (r = .31, p = .033). The average overestimation in the self-reported data was 176%. The adapted data on lifetime physical activity reveals correlations between older adults' activity and the activity levels of three 15-year episodes (r = .354; r = .336; r = .323; each p < .05), as well as compliance with guidelines throughout life (Hotelling's T2 = 45-164; p ≤ .002). Our findings indicate a relationship between lifetime and older adults' activity and provide further support for lifelong engagement in physical activity.

[Psychometric properties of the questionnaire data on individual history of activity : Validity and reliability of the lifetime leisure physical activity questionnaire in community-dwelling older adults]

BACKGROUND

The lifetime leisure physical activity questionnaire (LLPAQ) is a derivative of the historical leisure activity questionnaire (HLAQ) of Kriska et al. (1988) for capture of the complete activity biography. The present study investigated the reliability and the validity of the LLPAQ of Engeroff and Vogt (2018).

METHODS

A total of 47 seniors (75-90 years old) participated in an objective measurement of activity and completed the LLPAQ. For validation of the questionnaire accelerometer-based data were compared with the subjective report in the LLPAQ on physical activity from the last year of life using a correlation analysis. Data from a second LLPAQ filled out by 14 participants (after 6 weeks) were used for reliability analysis (difference and correlation).

RESULTS

Subjectively captured data on the physical activity of the last year correlated with the objectively measured activity data (r = 0.311, p = 0.033). Although self-reporting overestimated the amount by almost 176%, test-retest data on MET-hours per episode showed a correlation (r = 0.824; p < 0.001). Check for internal consistency of individual episodes across the lifespan yielded a Cronbach's alpha of 0.8 (p < 0.001).

DISCUSSION

The LLPAQ showed good reliability values in the retest at 6 weeks, particularly considering the problem of manifold errors of subjective activity measurement in participants at old age. Regarding the discrepancy between the time periods of objective (1 week) and subjective (1 year) surveys, the proven medium effect strength indicates the high validity of the questionnaire.