ArticleBMC public health2025
Trajectories of physical activity patterns across the life course in Mexican adults: findings from the Mexico city prospective study.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Muscle Strength as a Key Independent Predictor of Arterial Stiffness and Metabolic Syndrome in Aging Mexicans: Unveiling the Sarcopenic Obesity Paradox.Journal of clinical medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectiveThe present study aimed to identify factors associated with distinct trajectories of physical activity (PA) patterns in Mexican adults during a 16-year follow-up.
methodsWe included 9,958 adults aged 35 years or older enrolled in The Mexico City Prospective Study, a prospective cohort study conducted from 1998 to 2004 to 2015–2019. PA was assessed through self-reported questionnaires and categorized into three patterns: inactive, weekend warrior, and regularly active. PA pattern trajectories were derived from the two assessment periods and classified into four categories: inactive stable, decreased, increased/weekend warrior stable and regularly active stable. Sociodemographic characteristics, nutritional status, lifestyle factors, and health history were collected at baseline.
resultsOf the total sample, 66.7% were inactive stable, 14% decreased, 15% increased/weekend warriors stable, and 4.3% regularly active stable. Results revealed that women (OR = 1.75, 95%CI: 1.33–2.30), no educational level (OR = 14.72, 95%CI: 5.83–37.15) and obesity (OR = 1.75, 95%CI: 1.48–2.08) were associated with higher odds of being inactive stable. Among women, middle-aged was associated with lower odds of being inactive stable (OR = 0.71; 95%CI: 0.53–0.95), while no educational level (OR = 20.69; 95%CI: 6.25–68.52), obesity (OR = 1.91; 95%CI: 1.45–2.51), fruit and vegetable consumption “<5x/week” (OR = 2.05; 95%CI: 1.53–2.74) were associated with greater odds of being inactive stable. For men, no educational level (OR = 7.30; 95%CI: 1.65–32.25), fruit and vegetable consumption “<5x/week” (OR = 2.73; 95%CI: 1.91–3.90) were associated with higher odds of being inactive stable.
conclusionSex, age, education level, obesity, and fruit and vegetable consumption were associated with distinct trajectories of PA patterns. The factors associated with these trajectories varied by sex.
Indexed as
Identifiers
What OpenQuestion holds
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.