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Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review.

ABSTRACT: BACKGROUND:In recent years, researchers have begun applying a trajectory approach to identify homogeneous subgroups of physical activity (PA) in heterogeneous populations. This study systematically reviewed the articles identifying longitudinal PA trajectory classes and the related factors (e.g., determinants, predictors, and outcomes) in the general population during different life phases. METHODS:The included studies used finite mixture models for identifying trajectories of PA, exercise, or sport participation. Three electronic databases, PubMed (Medline), Web of Science, and CINAHL, were searched from the year 2000 to 13 February 2018. The study was conducted according to the PRISMA recommendations. RESULTS:Twenty-seven articles were included and organized into three age group: youngest (eleven articles), middle (eight articles), and oldest (eight articles). The youngest group consisted mainly of youth, the middle group of adults and the oldest group of late middle-aged and older adults. Most commonly, three or four trajectory classes were reported. Several trajectories describing a decline in PA were reported, especially in the youngest group, whereas trajectories of consistently increasing PA were observed in the middle and oldest group. While the proportion of persistently physically inactive individuals increased with age, the proportion was relatively high at all ages. Generally, male gender, being Caucasian, non-smoking, having low television viewing time, higher socioeconomic status, no chronic illnesses, and family support for PA were associated either with persistent or increasing PA. CONCLUSIONS:The reviewed articles identified various PA subgroups, indicating that finite mixture modeling can yield new information on the complexity of PA behavior compared to studying population mean PA level only. The studies also provided novel information how different factors relate to changes in PA during life course. The recognition of the PA subgroups and their determinants is important for the more precise targeting of PA promotion and PA interventions. TRIAL REGISTRATION:PROSPERO registration number: CRD42018088120 .

SUBMITTER: Lounassalo I

PROVIDER: S-EPMC6404287 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review.

Lounassalo Irinja I Salin Kasper K Kankaanpää Anna A Hirvensalo Mirja M Palomäki Sanna S Tolvanen Asko A Yang Xiaolin X Tammelin Tuija H TH

BMC public health 20190306 1

<h4>Background</h4>In recent years, researchers have begun applying a trajectory approach to identify homogeneous subgroups of physical activity (PA) in heterogeneous populations. This study systematically reviewed the articles identifying longitudinal PA trajectory classes and the related factors (e.g., determinants, predictors, and outcomes) in the general population during different life phases.<h4>Methods</h4>The included studies used finite mixture models for identifying trajectories of PA, ...[more]

PMID: 30841921

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Project description:The association between physical activity, sedentary behavior and health-related quality of life in children and adolescents has been mostly investigated in those young people with chronic disease conditions. No systematic review to date has synthesized the relationship between physical activity, sedentary behavior and health-related quality of life in the general healthy population of children and adolescents. The purpose of this study was to review systematically the existing literature that evaluated the relations between physical activity, sedentary behavior and health-related quality of life in the general population of children and adolescents.We conducted a computer search for English language literature from databases of MEDLINE, EMBASE, PSYCINFO and PubMed-related articles as well as the reference lists of existing literature between 1946 and the second week of January 2017 to retrieve eligible studies. We included the studies that assessed associations between physical activity and/or sedentary behavior and health-related quality of life among the general population of children and adolescents aged between 3-18 years. The study design included cross-sectional, longitudinal and health intervention studies. We excluded the studies that examined associations between physical activity, sedentary behavior and health-related quality of life among children and adolescents with specific chronic diseases, and other studies and reports including reviews, meta-analyses, study protocols, comments, letters, case reports and guidelines. We followed up the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement in the reporting of this review. The risk of bias of the primary studies was assessed by the Newcastle-Ottawa Scale. We synthesized the difference in health-related quality of life scores between different levels of physical activity and sedentary time.In total, 31 studies met the inclusion criteria and were synthesized in the review. Most of the included studies used a cross-sectional design (n = 21). There were six longitudinal studies and three school-based physical activity intervention studies. One study used both cross-sectional and longitudinal designs. We found that higher levels of physical activity were associated with better health-related quality of life and increased time of sedentary behavior was linked to lower health-related quality of life among children and adolescents. A dose-response relation between physical activity, sedentary behavior and health-related quality of life was observed in several studies suggesting that the higher frequency of physical activity or the less time being sedentary, the better the health-related quality of life.The findings in this study suggest that school health programs promoting active lifestyles among children and adolescents may contribute to the improvement of health-related quality of life. Future research is needed to extend studies on longitudinal relationships between physical activity, sedentary behavior and health-related quality of life, and on effects of physical activity interventions on health-related quality of life among children and youth.

Project description:Background and aimsAlcohol consumption changes markedly over the life course, with important implications for health and social development. Assessment of these patterns often relies on cross-sectional data, which cannot fully capture how individuals' drinking changes as they age. This study used data from 18 waves of a general population panel survey to measure drinking trajectories over the life course in Australia.Design and settingLongitudinal survey data from the Household, Income and Labour Dynamics in Australia (HILDA) survey between 2001 and 2018.ParticipantsA total of 20 593 individuals ages 15 or above in two samples assessing quantity-frequency (n = 20 569, 52.0% female) and risky single occasion drinking (RSOD), respectively, (n = 17 340, 52.5% female), interviewed as part of HILDA.MeasurementsUsual quantity of alcohol consumed per drinking occasion; frequency of drinking occasions per week; average daily consumption, calculated by combining reported usual quantity and frequency; and average reported frequency of RSOD per week.FindingsMultilevel, mixed effects models run with fractional polynomial terms found similar male and female alcohol consumption trajectories for quantity-frequency and RSOD measures. Usual quantity of alcohol consumed per drinking occasion (5.4 drinks for men, 3.8 for women) and RSOD frequency (0.56 occasions/week for men, 0.38 for women) peaked in young adulthood, whereas frequency of drinking occasions (2.5 occasions/week for men, 1.7 for women) peaked in middle age. Middle-age drinkers had the highest average daily consumption of alcohol (1.4 drinks/day for 54-year-old men, 0.6 drinks for 57-year-old women) and engaged in RSOD slightly less than young adults.ConclusionsAlcohol consumption in Australia appears to vary substantially over the life course, with usual quantity per drinking occasion and frequency of risky single occasion drinking peaking during early adulthood and average daily consumption and frequency of consumption peaking in middle age.

Project description:ObjectivesTo evaluate the physical and psychosocial domains of health-related quality of life among children during the first year following community-acquired septic shock, and explore factors associated with poor physical and psychosocial health-related quality of life outcomes.DesignSecondary analysis of the Life After Pediatric Sepsis Evaluation.SettingTwelve academic PICUs in the United States.PatientsChildren greater than or equal to 1 month and less than 18 years old who were perceived to be without severe developmental disability by their family caregiver at baseline and who survived hospitalization for community-acquired septic shock.InterventionsFamily caregivers completed the Pediatric Quality of Life Inventory for children 2-18 years old or the Pediatric Quality of Life Inventory Infant Scales for children less than 2 years old at baseline (reflecting preadmission status), day 7, and months 1, 3, 6, and 12 following PICU admission. Higher Pediatric Quality of Life Inventory Physical and Psychosocial Health Summary Scores indicate better health-related quality of life.Measurements and main resultsOf 204 children, 58 (28.2%) had a complex chronic comorbid condition. Children with complex chronic comorbid conditions had lower baseline physical health-related quality of life (62.7 ± 22.6 vs 84.1 ± 19.7; p < 0.001) and psychosocial health-related quality of life (68.4 ± 14.1 vs 81.2 ± 15.3; p < 0.001) than reference norms, whereas children without such conditions had baseline scores similar to reference norms. Children with complex chronic comorbid conditions recovered to their baseline health-related quality of life, whereas children without such conditions did not (physical health-related quality of life 75.3 ± 23.7 vs 83.2 ± 20.1; p = 0.008 and psychosocial health-related quality of life 74.5 ± 18.7 vs 80.5 ± 17.9; p = 0.006). Age less than 2 years was independently associated with higher month 12 physical health-related quality of life, and abnormal neurologic examination and neurologic injury suspected by a healthcare provider during the PICU course were independently associated with lower month 12 physical health-related quality of life. Treatment of increased intracranial pressure and medical device use at month 1 were independently associated with lower month 12 psychosocial health-related quality of life.ConclusionsPhysical and psychosocial health-related quality of life were reduced among children during the first year following community-acquired septic shock compared with reference norms, although many recovered to baseline. Risk factors for poor health-related quality of life included neurologic complications during the hospitalization and dependence on a medical device 1 month postadmission.

Project description:Importance:Higher resting heart rate (RHR) is associated with increased risk of cardiovascular and all-cause mortality. Limited attention has been paid to early-life determinants of life-course RHR. Objective:To describe trajectories of RHR in the same individuals from age 6 to 69 years. Design, Setting, and Participants:Data were from the Medical Research Council National Survey of Health and Development population-based cohort of individuals who were followed up from birth in 1946 until 2015. Analysis was conducted between September 2016 and June 2017. Multilevel models were used to estimate life-course mean RHR trajectory by sex and to investigate associations with early childhood factors. The maximal sample included participants who had at least 1 measure of RHR since study entry and a measure of birth weight (N?=?4779; observations?=?26?182). Exposures:Information on early-life factors was ascertained prospectively: childhood socioeconomic position, birth weight, body mass index (calculated as weight in kilograms divided by height in meters squared) change from age 2 to 6 years (conditioned on body mass index at age 2 years), duration of breastfeeding, and markers of neurodevelopment (age at first walking independently and cognitive ability at age 8 years). Main Outcomes and Measures:Resting heart rate measured on 8 occasions between age 6 and 69 years (3 occasions in childhood and 5 in adulthood). Results:Of 4779 participants, 2492 (52.1%) were women, and 2287 (47.9%) were men. Mean estimated RHR decreased with increasing age and plateaued in adulthood. In sex-adjusted analyses, higher birth weight and conditional body mass index change were associated with lower RHR at age 6 years and across the life course (-0.56 bpm [95% CI, -0.95 to -0.17] per 1 kg higher birth weight and -0.30 bpm [95% CI, -0.48 to -0.13] per 1 kg/m2 change in body mass index). Associations between socioeconomic position and breastfeeding on RHR trajectory emerged in adulthood such that by age 69 years, RHR was 1.48 bpm (95% CI, 0.45 to 2.51) higher in participants from a disadvantaged vs advantaged background and -1.34 bpm (95% CI, -2.39 to -0.29) lower for those who were breastfed for 8 months or longer vs never. A later age at first walking was associated with higher RHR at age 6 years (1.49 bpm [95% CI, 0.39 to 2.59] higher for those 18 months or older vs those younger than 12 months) but with lower RHR in adulthood (-1.18 bpm [95% CI, -2.75 to 0.39] at age 69 years). Conclusions and Relevance:Early life is a key period in determining future RHR trajectories with associations with potentially modifiable factors persisting into the seventh decade of life.

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Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review.

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Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review.

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