Physical Activity Trajectories Research Articles

Physical activity during early life and the risk of all-cause mortality in midlife: findings from a birth cohort study.

The objective of this study was to examine the association between physical activity during childhood and adolescence and the risk of all-cause mortality in midlife. We analyzed data from a birth cohort (The 1958 National Child Development Survey), including births in England, Wales and Scotland. Physical activity was assessed using questionnaires at ages 7, 11 and 16. Death certificates defined all-cause mortality. Cumulative exposure, sensitive and critical periods, and physical activity trajectory from childhood to adolescence were tested using multivariate Cox proportional hazard models. The sweep the death was confirmed was defined as the time event. From age 23 to 55, 8.9% of participants (n = 9398) died. Physical activity in childhood and adolescence affected the risk of all-cause mortality in midlife. In men, physical activity at ages 11 [hazard ratio (HR): 0.77; 95% confidence interval (CI): 0.60-0.98] and 16 (HR: 0.60; 95% CI: 0.46-0.78) was associated with reduced risk of all-cause mortality. In women, physical activity at age 16 (HR: 0.68; 95% CI: 0.48-0.95) was associated with reduced risk of all-cause mortality. Physical activity in adolescence eliminated the risk of all-cause mortality associated with physical inactivity in adulthood in women. Physical activity during childhood and adolescence was associated with reduced risk of all-cause mortality with different effects by sex.

Adolescent determinants of life-course leisure-time vigorous physical activity trajectories: a 27-Year longitudinal study

BackgroundAdolescence is regarded as formative years for building the foundations for life-long health and well-being, and adolescent determinants of physical activity (PA) development is particularly interesting. Novel approaches for the study of PA development, such as group-based trajectory modelling, opens for the possibility of identifying different patterns in the relationship among several known determinants of PA. This study aimed to explore how demographic, psychological and social factors in early adolescence determine membership in four distinct leisure-time vigorous physical activity (LVPA) trajectories from 13 to 40 years.MethodsThis study is based on data from the Norwegian Longitudinal Health Behaviour Study, following a cohort born in 1977 from Western Norway. Four trajectories identified using latent class growth analysis, based on self-reposted LVPA (n = 1103, 45.5% women) measured ten times from age 13 to age 40 and 17 different adolescent determinants, were used in a multivariate multinomial logistic regression.ResultsWe found that gender (male), VPA intentions the next year and athletic identity associated with belonging to the two trajectories reporting the highest levels of LVPA in adolescence, while VPA intentions in ten years were associated with belonging to the active trajectory compared to the decreasingly active and low active trajectories Enjoyment increased the odds of belonging to the increasingly and decreasingly active trajectories compared to the low active trajectory. In addition, two of the social determinants, mother’s PA and emotional support from father, were associated with belonging to the increasingly active trajectory when compared to the low active trajectory. Higher family income increased the odds of belonging to the increasingly active compared to the decreasingly active trajectory.ConclusionsBoth demographic, psychological, and social factors were identified as determinants of LVPA trajectory membership, and the findings support previous research related to the importance of intentions, but also indicate that enjoyment, role modelling and emotional support in PA can be of great importance to LVPA promotion among adolescents.

Improving Fundamental Movement Skills during Early Childhood: An Intervention Mapping Approach.

The earlier in life that a child can begin mastering fundamental movement skills (FMS), the more positive their physical activity (PA) trajectories and health outcomes are. To achieve sufficient development in FMS, children must be guided with tuition and practice opportunities. Schools and educators provide an opportunity for interventions that improve health behaviours and outcomes for children. The aim of this study was to use intervention mapping (IM) to design a programme of school-based intervention to improve FMS for children aged 4-5 years old. Following the six steps of IM, with each step comprising three to five tasks that require the input of a planning group formed by key stakeholders, a programme of intervention was planned. Prior knowledge and primary and secondary evidence was used to support the development of the programme. A logic model of the problem as well as logic models of change, programme design, production, implementation, and evaluation were proposed or completed within the study. The results can be used to begin to implement an FMS-focussed intervention within school settings within England and propose a sustainable and realistic approach for helping children to develop FMS with the support of well-informed educators who are confident to deliver better FMS practice and PA opportunities.

Physical activity trajectories and their determinants in patients with chronic obstructive pulmonary disease: A cohort study.

The aim was to identify latent trajectories in physical activity (PA) and their determinants in adults with chronic obstructive pulmonary disease (COPD) based on the socio-ecological model. PA has been linked to poor long-term outcomes in patients with COPD. However, few studies have explored their PA trajectories and their predictors. Cohort study. We used data from a national cohort and included 215 participants. PA was quantified using a short PA questionnaire, and group-based trajectory modelling was used to explore the PA trajectories. Multinomial logistic regression was conducted to identify the predictors of PA trajectories. Generalised linear mixed models were used to elucidate the associations between predictors and PA during follow-up. A STROBE checklist was used to guide the reporting of this study. Three PA trajectory patterns were identified among 215 COPD participants with an average age of 60.51 ± 8.87: stable inactive group (66.7%), sharp decline group (25.7%) and stable active group (7.5%). The logistic regression showed that age, sex, income, peak expiratory flow, upper limb capacity, depressive symptoms, the frequency of contact with children were PA predictors. Upper limb capacity weakness and depressive symptoms were found to be associated with a sharp decline in PA during follow-up. This study revealed three PA trajectories among patients with COPD. In addition to strengthening the physical functions and mental health of patients, support from the family, community and society also play a crucial role in promoting PA of patients with COPD. It is essential to identify distinct PA trajectories in patients with COPD to develop future interventions that promote PA. A national cohort study was used and no patients or the public were involved in the design and implementation of this study.

Physical activity mediates the effect of education on mental health trajectories in older age

ObjectiveWhy people with lower levels of educational attainment have poorer mental health than people with higher levels can partly be explained by financial circumstances. However, whether behavioral factors can further explain this association remains unclear. Here, we examined the extent to which physical activity mediates the effect of education on mental health trajectories in later life. MethodsData from 54,818 adults 50 years of age or older (55 % women) included in the Survey of Health, Aging and Retirement in Europe (SHARE) were analyzed using longitudinal mediation and growth curve models to estimate the mediating role of physical activity (baseline and change) in the association between education and mental health trajectories. Education and physical activity were self-reported. Mental health was derived from depressive symptoms and well-being, which were measured by validated scales. ResultsLower education was associated with lower levels and steeper declines in physical activity over time, which predicted greater increases in depressive symptoms and greater decreases in well-being. In other words, education affected mental health through both levels and trajectories of physical activity. Physical activity explained 26.8 % of the variance in depressive symptoms and 24.4 % in well-being, controlling for the socioeconomic path (i.e., wealth and occupation). ConclusionsThese results suggest that physical activity is an important factor in explaining the association between low educational attainment and poor mental health trajectories in adults aged 50 years and older.

Association of Physical Activity and Parkinson Disease in Women: Long-term Follow-up of the E3N Cohort Study.

Previous cohort studies reported that a single measure of physical activity (PA) assessed at baseline was associated with lower Parkinson's disease (PD) incidence, but a meta-analysis suggested that this association was restricted to men. Due to the long prodromal phase of the disease, reverse causation could not be excluded as a potential explanation. Our objective was to study the association between time-varying PA and PD using lagged analyses to address the potential for reverse causation, and to compare PA trajectories in patients prior to diagnosis and matched controls. We used data from E3N (1990-2018), a cohort study of women affiliated with a national health insurance plan for persons working in education. PA was self-reported in six questionnaires over the follow-up. As questions changed across questionnaires, we created a time-varying latent PA (LPA) variable using latent-process mixed models. PD was ascertained using a multistep validation process based on medical records, or a validated algorithm based on drug claims. We set-up a nested case-control study to examine differences in LPA trajectories using multivariable linear mixed models with a retrospective time scale. Cox proportional hazards models with age as the timescale and adjusted for confounders were used to estimate the association between time-varying LPA and PD incidence. Our main analysis used a 10y-lag to account for reverse causation; sensitivity analyses used 5y, 15y, and 20y-lags. Analyses of trajectories (1,196 cases, 23,879 controls) showed that LPA was significantly lower in cases than in controls throughout the follow-up, including 29y before diagnosis; the difference between cases and controls started to increase ∼10y before diagnosis (P-interaction=0.003). In our main survival analysis, of 95,354 women free of PD in 2000, 1,074 women developed PD over a mean follow-up of 17.2y. PD incidence decreased with increasing LPA (P-trend=0.001), with 25% lower incidence in those in the highest quartile compared to the lowest (adjusted hazard ratio=0.75, 95% confidence interval=0.63-0.89). Using longer lags yielded similar conclusions. Higher PA level is associated with lower PD incidence in women, not explained by reverse causation. These results are important for planning interventions for PD prevention.

Initial status and change in cognitive function mediate the association between academic education and physical activity in adults over 50 years of age.

Higher levels of academic education are associated with higher levels of physical activity throughout the lifespan. However, the mechanisms underlying this association are unclear. Cognitive functioning is a potential mediator of this association because higher levels of education are associated with better cognitive function, which is related to greater engagement in physical activity. Here, we used large-scale longitudinal data from 105,939 adults 50 years of age or older (55% women) from the Survey of Health, Ageing, and Retirement in Europe to investigate whether initial status and change in cognitive function mediate the relationship between education and change in physical activity. Education and physical activity were self-reported. Cognitive function was assessed based on delayed recall and verbal fluency. Academic education was assessed at the first measurement occasion. The other measures were collected seven times between 2004 and 2019. The mediating role of cognitive function was tested using longitudinal mediation analyses combined with growth curve models. We found that higher levels of education were associated with higher levels and slower decreases in cognitive function, which in turn predicted a lower decrease in physical activity across time. These results support the presence of an indirect effect of education on physical activity trajectories by affecting the intercept and slope of cognitive function. Specifically, these findings suggest that both the initial status and change in cognitive function mediate the association between academic education and change in physical activity. In addition, results revealed that, across the aging process, differences in cognitive function and physical activity widen between the low and high educated. In other words, this study demonstrates the long-lasting effect of education on cognitive function and physical activity. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Evidence-based trends and association between symptom disturbance and physical activity among pregnant women: A longitudinal study.

Women usually decrease their physical activity (PA) after becoming pregnant. The change in PA may influence their symptom distress (SD). The changes and correlations between SD and PA throughout pregnancy remain unclear. The aims of this study were to describe PA and SD trajectories across all three trimesters and examine their correlations during pregnancy. A repeated-measure longitudinal study with convenience sampling at a hospital in Northern Taiwan was performed. Participants were recruited at 8-16 weeks of gestation, and two follow-up visits were performed at 24-28 weeks of gestation (second trimester) and after 36 weeks of gestation (third trimester). A total of 225 participants completed the study. The participants completed the Pregnancy Physical Activity Questionnaire (PPAQ) and Pregnancy-related Symptom Disturbance Scale (PSD), and sociodemographic and prenatal variables were recorded. Throughout pregnancy, SD decreased then increased, showing an overall upward trend, whereas PA showed the opposite pattern, increasing then decreasing, with an overall downward trend. Sedentary activity was positively correlated with both physical and psychological SD during the second and third trimesters. Exceeding the Institute of Medicine's recommendations for gestational weight gain, having childcare support, sport/exercise-type, and light-intensity PA were negatively associated with the physical and psychological SD, while a history of miscarriage and sedentary-intensity PA were positively associated with the physical and psychological SD. While several factors, including light-intensity PA, were found negatively associated with the physical and psychological SD, sedentary-intensity PA were positively associated with the physical and psychological SD, our findings shed light on future intervention strategies to relieve SD and decrease sedentary behavior among pregnant women.

Physical Activity Trajectories and Functional Recovery After Acute Stroke Among Adults in Sweden

The optimum level and timing of poststroke physical activity interventions to enhance functional recovery remain unclear. To assess the level of physical activity in the first 6 months after stroke among individuals with similar physical activity patterns over time and to investigate the association between physical activity trajectories and functional recovery at 6 months after stroke. This cohort study obtained data from the Efficacy of Fluoxetine-a Randomized Controlled Trial in Stroke, which was conducted in 35 stroke and rehabilitation centers across Sweden from October 2014 to June 2019. Adult participants (aged >18 years) were recruited between 2 and 15 days after stroke onset and followed up for 6 months. Participants who withdrew or were lost to follow-up were excluded from the longitudinal analysis. Data analyses were performed between August 15 and October 28, 2022. Physical activity was assessed at 1 week, 1 month, 3 months, and 6 months. Multiple factors associated with physical activity trajectories were investigated. Association of the distinct trajectories with functional recovery was assessed in multivariable logistic regression. The primary outcomes were the distinct physical activity trajectories over time, which were identified using group-based trajectory modeling. The secondary outcome was the functional recovery at 6 months after stroke, which was assessed using the modified Rankin Scale. Of the 1367 included participants (median [IQR] age, 72 years [65-79] years; 844 males [62%]), 2 distinct trajectory groups were identified: increaser (n = 720 [53%]) and decreaser (647 [47%]). The increaser group demonstrated a significant increase in physical activity level (mean difference, 0.27; linear slope β1 = 0.46; P < .001) and sustained it at light intensity from 1 week to 6 months, whereas the decreaser group showed a decline in physical activity and eventually became inactive (mean difference, -0.26; linear slope β1 = 1.81; P < .001). Male participants and those with normal cognition had higher odds of being in the increaser group, regardless of stroke severity. Increasing physical activity and sustaining it at light intensity were associated with a good functional outcome at 6 months (adjusted odds ratio, 2.54; 99% CI, 1.72-3.75; P < .001). Results of this study suggest that increased physical activity was associated with functional recovery 6 months after stroke. Interventions targeting individuals with decreasing physical activity in the subacute phase of stroke may play a role in improved functional outcomes.

Trajectories of child mental health, physical activity and screen-time during the COVID-19 pandemic considering different family situations: results from a longitudinal birth cohort

BackgroundMany authors have described a significant mental health burden on children and adolescents during the COVID-19 pandemic, possibly moderated by social disparities. This analysis explores whether pre-pandemic family circumstances might be related to different aspects of child health during the pandemic.MethodsWe analyzed trajectories of health-related outcomes in children aged 5 to 9 years (T7 to T11) using the Ulm SPATZ Health study, a population based birth cohort study (baseline 04/2012–05/2013) conducted in the South of Germany. Outcomes were children’s mental health, quality of life, and lifestyle, such as screen time and physical activity. We conducted descriptive statistics of maternal and child characteristics before and throughout the pandemic. We defined three different groups of pre-pandemic family situations and used adjusted mixed models to estimate differences in means associated with the time during the pandemic vs. before the pandemic in (a) all children and in (b) children belonging to specific pre-pandemic family situations.ResultsWe analyzed data from n = 588 children from whom at least one questionnaire was completed between T7 and T11. When not considering the pre-pandemic family situation, adjusted mixed models showed statistically significant lower mean scores of health-related quality of life among girls during vs. before the COVID-19 pandemic (difference in means (b): − 3.9 (95% confidence interval (CI): − 6.4, − 1.4). There were no substantial differences in mental health, screen time, or physical activity in boys or girls. When considering pre-pandemic family situations, boys with mothers having symptoms of depression or anxiety showed a substantial loss of health-related quality of life on the subscale of friends (b: − 10.5 (95% CI: − 19.7, − 1.4)). Among girls in this group, 60% of the 15 assessed outcomes were negatively associated with a remarkable loss in health-related quality of life (e.g., KINDL-physical well-being difference in means: − 12.2 (95% CI: − 18.9, − 5.4)). Furthermore, a substantial increase in screen time was found (+ 2.9 h (95% CI: 0.3, 5.6)).ConclusionOur results suggest that the health (and behavior) of primary school-aged children is possibly impacted by the COVID-19 pandemic, with adverse consequences differing by gender and very likely by the pre-pandemic family situation. Especially in girls having a mother with depression or anxiety symptoms, the adverse consequences of the pandemic on mental health seem to be aggregated. Boys showed fewer adverse trajectories, and it needs to be further assessed which factors exactly are behind the (socio-economic) factors, such as maternal working habits and limited living space, when analyzing the effect of the pandemic on children’s health.

Leisure-time physical activity trajectories from adolescence to adulthood in relation to several activity domains: a 27-year longitudinal study

BackgroundInsufficient physical activity (PA) levels among adolescents and adults make promoting PA a public health priority. Although most people exhibit low or decreasing levels of PA, other groups increase or maintain high levels of activity. These different groups may engage differently in activity domains during their leisure time. This study aimed to identify distinct trajectories of leisure-time vigorous physical activity (LVPA) and to explore whether these trajectories are characterised by differences in four activity domains (participation in organised sports clubs, diversity in leisure-time activities, outdoor recreation, and peer PA) over the life course.MethodsData were drawn from the Norwegian Longitudinal Health Behaviour Study. The sample of participants (n = 1103, 45.5% female) was surveyed 10 times from age 13 years in 1990 to age 40 years in 2017. LVPA trajectories were identified using latent class growth analysis, and mean differences in activity domains were studied using the one-step BCH approach.ResultsFour trajectories were identified: active (9%), increasingly active (12%), decreasingly active (25%), and low active (54%). Overall, this analysis showed a declining tendency in LVPA from age 13 to 40 years except for the increasingly active trajectory. Belonging to a trajectory with a higher LVPA level was related to higher mean levels of the included activity domains. Compared with those in the increasing trajectory, people belonging to the decreasing trajectory reported higher mean participation levels in and age at becoming a member of sports clubs, diversity in leisure-time activities, and best friend’s activity level during adolescence. However, in young adulthood, people in the increasingly active trajectory reported significantly higher mean levels for the same variables.ConclusionsThe development of LVPA from adolescence to adulthood is heterogeneous, suggesting the need for targeted health promotion initiatives. The largest trajectory group included more than 50 percent and was characterized by low levels of LVPA, less engagement in PA domains and fewer active friends. There seems to be little carry-over effect of engagement in organised sports in adolescence regarding level of LVPA later in life. Changes in social surroundings throughout the life span, such as having friends who are more or less engaged in PA, may assist or hinder health enhancing engagement in LVPA.

Factors Associated with Trajectories of Physical Activity Over 8 Years in Knee Osteoarthritis.

The aim of the study was to investigate (1) trajectories of physical activity (PA) over 96 months and (2) study to what extent knee pain, muscle strength, physical function, and radiographic disease were associated with PA trajectories in adults with or at risk of knee osteoarthritis (KOA). Using the Osteoarthritis Initiative (OAI) database, we described PA trajectories with the Physical Activity Scale for the Elderly (PASE) over 96 months. Knee pain was categorized into three groups: "no pain" [visual numeric pain rating scale (VAS=0)], "little to some pain" (VAS=1-3), or "moderate to severe pain" (VAS ≥ 4). Knee extensor strength was classified into high [>16.21 (men) and >10.82 (women) N/kg/m2 ] and low [12 seconds) and fast (<12 seconds) groups. Radiographic disease was classified as present [Kellgren-Lawrence (KL) ≥2] or absent (KL grade <2) of KOA. Among 3755 participants (age 61.0 ± 9.0 years, body mass index 28.5±4.8 kg/m2 , 58% female), we identified three trajectories: sedentary PA with slow decline (44.3%), low PA with slow decline (41.3%), and high PA with slow decline (14.4%). Poorer gait speed (OR: 2.32; 95% CI: 1.71-3.16), chair stand time (OR: 1.45; 95% CI: 1.07-1.96), and knee extensor strength (OR: 1.35; 95% CI: 1.03-1.76), but not pain or radiographic disease, were associated with PA trajectory of sedentary PA with slow decline. Physical function and strength, but not pain and radiographic disease, were associated with a trajectory of decline in PA among adults with or at risk of KOA.

Abstract MP71: Associations Between Physical Activity Trajectories and Nonalcoholic Fatty Liver Disease: The Cardia Study

Introduction: Non-alcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease in the US. Weight loss and lifestyle modifications, including increases in physical activity (PA), are the primary therapeutic recommendations for managing NAFLD. However, little is known about longitudinal physical activity patterns and NAFLD prevalence among a racially diverse population of adults. This study aimed to (1) identify distinct physical activity trajectories from young to middle adulthood and (2) examine the associations between physical activity trajectories and NAFLD prevalence in middle-aged adults. Methods: The analytic sample included 2833 participants of the Coronary Artery Risk Development in Young Adults (CARDIA) study. Physical activity was self-reported at eight examinations over 25 years (1985/1986 to 2010/2011), and separately scored for moderate- (MPA) and vigorous-intensity (VPA) physical activity. NAFLD was defined as liver attenuation values ≤51 Hounsfield units after exclusion of other causes of liver fat, measured using computed tomography in year 25 (2010/2011). Group-based trajectory modeling was used to identify MPA and VPA trajectories over 25 years. Modified Poisson regression models were used to estimate the risk ratios (RR) of NAFLD across the PA trajectories, adjusted for year 25 sex, age, CARDIA study center, race, education, smoking status, dietary pattern, and alcohol consumption. Results: We identified three distinct MPA and VPA trajectories. MPA: ‘very low stable’ (53%), ‘low stable’ (39%), and ‘moderate increasing’ (8%). VPA: ‘low stable’ (57%), ‘moderate stable’ (36%), and ‘high decreasing’ (7%). Year 25 NAFLD prevalence was 24%. Relative to participants with ‘moderate increasing’ MPA over time, those with lower levels of MPA had adjusted risk ratios of 1.11 (95% CI 0.87-1.43) for ‘low stable’ and 1.11 (95% CI 0.86-1.42) for ‘very low stable.’ Relative to participants with ‘high decreasing’ VPA over time, those with lower levels of VPA had adjusted risk ratios of 1.26 (95% CI 0.95-1.69) for ‘moderate stable’ and 1.62 (95% CI 1.21-2.16) for ‘low stable.’ Conclusions: Our results suggest a higher risk of NAFLD in middle age for those with low levels of VPA from young to middle adulthood relative to those with the highest levels of VPA over time, with evidence of dose-response. Sustaining VPA throughout adulthood may be efficacious in the prevention of NAFLD, highlighting the importance of targeted delivery of prevention and management programs aimed at modifying lifestyle risk factors to reduce NAFLD risk.

Physical Activity Trajectories in Early Childhood: Investigating Personal, Environmental, and Participation Factors.

To determine personal, environmental, and participation factors that predict children's physical activity (PA) trajectories from preschool through to school years. Two hundred seventy-nine children (4.5 ± 0.9 yr, 52% boys) were included in this study. Physical activity was collected via accelerometry at six different timepoints over 6.3 ± 0.6 yr. Time-stable variables were collected at baseline and included child's sex and ethnicity. Time-dependent variables were collected at six timepoints (age, years) and included household income (CAD), parental total PA, parental influence on PA, and parent-reported child's quality of life, child's sleep, and child's amount of weekend outdoor PA. Group-based trajectory modeling was applied to identify trajectories of moderate-to-vigorous PA (MVPA) and total PA (TPA). Multivariable regression analysis identified personal, environmental, and participation factors associated with trajectory membership. Three trajectories were identified for each of MVPA and TPA. Group 3 in MVPA and TPA expressed the most PA over time, with increased activity from timepoints 1 to 3, and then declining from timepoints 4 to 6. For the group 3 MVPA trajectory, male sex (β estimate, 3.437; P = 0.001) and quality of life (β estimate, 0.513; P < 0.001) were the only significant correlates for group membership. For the group 3 TPA trajectory, male sex (β estimate, 1.970; P = 0.035), greater household income (β estimate, 94.615; P < 0.001), and greater parental total PA (β estimate, 0.574; P = 0.023) increased the probability of belonging to this trajectory group. These findings suggest a need for interventions and public health campaigns to increase opportunities for PA engagement in girls starting in the early years. Policies and programs to address financial inequities, positive parental modeling, and improving quality of life are also warranted.

Physical activity, sedentary behavior, and cardiovascular disease risk in Korea: a trajectory analysis.

To identify the distinct trajectories of sedentary behavior (SB) and explore whether reduced cardiovascular disease (CVD) risk was associated with a distinct trajectory of physical activity (PA). We analyzed data from 6,425 people who participated in the Korean Health Panel Survey over a period of 10 years. The participants' self-reported SB and PA were assessed annually, and trajectory groups were identified using a group-based trajectory model for longitudinal data analysis. Logistic regression analysis was performed to assess the association between CVD risk (10-year cumulative incidence) and the trajectories of SB and PA. The adjusted variables included socio-demographic factors, the predisposing diseases of CVD, and baseline health behaviors. Trajectory analysis identified 4 SB trajectory groups: SB group 1 (low and slightly increasing trend, 53.1%), SB group 2 (high and rapidly decreasing trend, 14.7%), SB group 3 (high and slightly decreasing trend, 9.9%), and SB group 4 (low and rapidly increasing trend, 22.2%). The 3 PA trajectory groups were PA group 1 (moderate and slightly decreasing trend, 32.1%), PA group 2 (low and slightly decreasing trend, 57.3%), and PA group 3 (maintained inactivity, 10.7%). By the 10-year follow-up, 577 cases of incident CVD had occurred. We also noted a 50% reduction in the risk of CVD when SB group 4 was accompanied by PA group 1 (odds ratio, 0.50; 95% confidence interval, 0.28 to 0.90). Despite increased time spent in SB, maintaining PA about 2 days to 3 days per week reduced the occurrence of CVD.

Factors associated with changes in the objectively measured physical activity among Japanese adults: A longitudinal and dynamic panel data analysis.

Factors associated with dynamic changes in the objectively measured physical activity have not been well understood. We aimed to 1) evaluate the longitudinal change in the physical activity trajectory according to sex which is associated with age and to 2) determine the factors associated with the dynamic change in physical activity-related variables across a wide age range among Japanese adults. This longitudinal prospective study included 689 Japanese adults (3914 measurements) aged 26-85 years, whose physical activity data in at least two surveys were available. Physical activity-related variables, such as intensity (inactive, light [LPA; 1.5 to 2.9 metabolic equivalents (METs)], moderate-to-vigorous [MVPA; ≥3.0 METs]), total energy expenditure (TEE), physical activity level (PAL), and step count, were evaluated using a validated triaxial accelerometer. Statistical analysis involved the latent growth curve models and random-effect panel data multivariate regression analysis. During a mean follow-up period of 6.8 years, physical activity was assessed an average of 5.1 times in men and 5.9 times in women. The profiles for the inactive time, LPA (only men), MVPA, step count, PAL, and TEE showed clear curvature, indicating an accelerated rate of change around the age of 70. In contrast, other variables exhibited minimal or no curvature over the age span. The MVPA trajectory was positively associated with alcohol consumption, hand grips, leg power, and trunk flexibility and negatively associated with age, local area, body mass index (BMI), comorbidity score, and heart rate over time. Our results indicated that the physical activity trajectory revealed clear curvature, accelerated rate of change around the age of 70, and determined physical health and fitness and BMI as dynamic factors associated with physical activity changes. These findings may be useful to help support populations to achieve and maintain the recommended level of physical activity.

Reference values for accelerometer metrics and associations with cardiorespiratory fitness: a prospective cohort study of healthy adults and patients with heart failure

Reference values for accelerometer metrics and associations with cardiorespiratory fitness: a prospective cohort study of healthy adults and patients with heart failure

Depressive symptoms and physical activity among community-dwelling perimenopausal women: a prospective longitudinal study

BackgroundWomen in perimenopause are vulnerable to depressive symptoms, and physical activity was reported to be a potential protective factor. The trajectories of physical activity and depressive symptoms over time and their longitudinal relationships in Chinese perimenopausal women have not been explored yet, leaving a research gap hindering us from better understanding and managing perimenopause depressive symptoms.MethodsA multi-center prospective longitudinal study was conducted in four cities in Sichuan Province, China. Depressive symptoms and physical activity in perimenopausal women were collected in March 2019, June 2019, September 2019, and December 2019, respectively. Multivariable linear regression by generalized estimation equation was used to identify the relevant factors associated with depressive symptoms and physical activity. A four-wave autoregressive and cross-lagged panel model was performed to explore their longitudinal relationships.ResultsA total of 1875 women who completed the four-wave data collection were included in the data analysis. Depressive symptoms exacerbated over time and were associated with women’s age, monthly income, marital status, chronic disease, and negative life events. Physical activity decreased over time and was associated with educational background and monthly income. According to the cross-lagged panel model, perimenopausal women with more severe depressive symptoms tended to be less physically active, and similarly, perimenopausal women with less physical activity were more prone to report more severe depressive symptoms.ConclusionThe cross-lagged panel model disclosed longitudinal bidirectional relationships between depressive symptoms and physical activity in perimenopausal women. Appropriate physical activity should be recommended for perimenopausal women to improve their mental well-being. Tailored physical activity duration and maintenance measures should be proposed based on different sociodemographic statuses.

Do monthly coaching calls influence proximal participant adherence in a behavioral weight loss program?

Participants who receive continued coach contact following behavioral weight loss treatment are more successful in maintaining their weight loss long-term. The current study examines whether these contacts have dynamic effects, such that participants are most adherent to the prescribed weight loss behaviors in the days after the call, when motivation and goal salience may be heightened, than they are as time goes on. The current study examined the trajectory of calorie intake, physical activity, weight, and self-monitoring behavior in the fourteen days after a monthly coaching call among participants completing the maintenance phase of a behavioral weight loss trial. For physical activity outcomes, caloric intake, and weight, there were no changes across time. Participants did have the highest adherence and quality of dietary self-monitoring immediately after the call, which diminished over time. Coach contact may continually renew commitment to this burdensome but critical behavior. Likelihood of self-weighing showed an opposite trend, where participants were more likely to weigh themselves in the days more distal from the coach call. Results can inform the timing and content of future coach contact to promote weight control.

Physical activity trajectories at older age and all-cause mortality: A cohort study.

A physically active lifestyle is recognized as a precondition of healthy aging. However, the majority of studies exploring its association with mortality in cohorts of adults used single-time physical activity (PA) estimate, which do not consider its dynamic nature with changes that occur with aging. The aim of the present study is to explore the presence of different PA trajectories in a population-based cohort and their association with mortality. We used data of the population-based cohort study CARLA and included 1041 older adults (45-83 years at baseline) with self-reported physical activity at baseline (2002-2006), first follow-up (2007-2010) and second follow-up (2013). Trajectories were identified using growth mixture modelling. Cox proportional hazard models were used to assess the association between trajectories of PA and all-cause mortality during ~6 years since the second follow-up after adjusting for age, sex, lifestyle factors and comorbidities and after correction for classification error. In a sensitivity analysis we weighted the models to account for selection bias during follow-up. As a further sensitivity analysis, we excluded the first year of follow-up to account for reverse causation. Three PA trajectories (categorized as consistently low, consistently moderate, and high at baseline but strongly decreasing PA across time) were identified, and 121 deaths due to all causes occurred. Compared with participants who had consistently low PA-levels throughout the follow-up period, participants who maintained moderate PA-levels were at a lower risk of all-cause mortality (hazard ratio [HR], 0.49; 95%CI, 0.30-0.70). Participants with high PA-levels at baseline but strongly decreasing PA across time, had similar mortality risk compared to the participants with consistently low PA-levels (hazard ratio [HR], 0.97; 95%CI, 0.50-1.80). The effects were strengthened in the analysis weighted for selection bias. Our results suggest that, compared to those who had consistently low PA levels, those who maintained a moderate level of PA showed a protective effect in terms of their mortality risk but not those who displayed a decline from high PA levels.