SynthesisBMC public health2019
Distinct trajectories of physical activity and related factors during the life course in the general population: a systematic review.
Synthesis in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 8 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
120 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- Association Between Physical Activity and Indicators of Overweight/Obesity and Metabolically Unhealthy Obesity Risk in Children and Adolescents: A Systematic Review of Prospective Epidemiological Studies and Randomized Controlled Trials in Western Countries.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Pooled it
- Physical activity trajectories and accumulation over adulthood and their associations with all-cause and cause-specific mortality: a systematic review and meta-analysis.British journal of sports medicine · 2025Pooled it
- Pooled it
- Types of leisure-time physical activity participation in childhood and adolescence, and physical activity behaviours and health outcomes in adulthood: a systematic review.BMC public health · 2024Pooled it
- Personality and change in physical activity across 3-10 years.Psychology & health · 2024Pooled it
- Assessment and development of physical education teachers' physical literacy: A systematic review.PloS one · 2024Pooled it
- Environmental and practice factors associated with children's device-measured physical activity and sedentary time in early childhood education and care centres: a systematic review.The international journal of behavioral nutrition and physical activity · 2022Pooled it
- Pooled it
- Predictors associated with an increase in daily steps among people with prediabetes or type 2 diabetes participating in a two-year pedometer intervention.BMC public health · 2024Trial
- Modern software and physical education: can online training enhance gym training?BMC medical education · 2024Trial
- Gardening in Childcare Centers: A Randomized Controlled Trial Examining the Effects of a Garden Intervention on Physical Activity among Children Aged 3-5 Years in North Carolina.International journal of environmental research and public health · 2023Trial
- Testing a physical education-delivered autonomy supportive intervention to promote leisure-time physical activity in lower secondary school students: the PETALS trial.BMC public health · 2020Trial
- Adolescent physical activity trajectories and later non-communicable disease risk factors: A systematic review of longitudinal studies.Public health in practice (Oxford, England) · 2026Review
- Graph-Based Modeling of Behavioral Transitions for Digital Health Applications: Trajectory Analysis Framework.Journal of medical Internet research · 2026Article
- Physical Activity and Cognitive Function Among Chinese Adults Aged 45 Years and Older with Self-Reported Hearing Loss: A 9-Year Longitudinal Study.Brain and behavior · 2026Observational
- Understanding Multilevel Correlates of Long-Term Physical Activity Trajectories Among Middle-Aged and Older Adults: A Machine-Learning Analysis.Behavioral sciences (Basel, Switzerland) · 2026Article
- Trends in leisure-time physical activity participation by sex and age in Brazil: insights from Vigitel 2013-2023.BMC public health · 2026Article
- Exercise trajectories and current exercise and risk of breast cancer: a cohort study of 325,953 women who participated in BreastScreen Norway.Cancer causes & control : CCC · 2026Article
- Continuity of Sport Participation Across Developmental Stages and Physical Activity Levels: A Life-Course Perspective in Future Teachers.Healthcare (Basel, Switzerland) · 2026Article
- Leisure-Time Physical Activity Trajectories across Adulthood and Cardiometabolic Risk at the Beginning of Late Adulthood: A Prospective Cohort Study.Medicine and science in sports and exercise · 2026Article
60 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundIn 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.
methodsThe 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.
resultsTwenty-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.
conclusionsThe 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 registrationPROSPERO registration number: CRD42018088120 .
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.