ArticleThe international journal of behavioral nutrition and physical activity2017
Changes in physical activity during the retirement transition: a series of novel n-of-1 natural experiments.
Article in The international journal of behavioral nutrition and physical activity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Associations Between Social Cognitive Determinants and Movement-Related Behaviors in Studies Using Ecological Momentary Assessment Methods: Systematic Review.JMIR mHealth and uHealth · 2023Pooled it
- Evaluation of statistical methods in R for estimating intervention effects using segmented linear regression in the AB interrupted time series design.BMC medical research methodology · 2026Article
- Bidirectional associations between sleep and physical activity investigated using large-scale objective monitoring data.Communications medicine · 2025Article
- Personal Health and Well-Being Determinants Associated with the Day-to-Day Variability of Sedentary Behaviour in Community-Dwelling People with Stroke.Journal of clinical medicine · 2025Article
- Framework-based qualitative analysis of free responses of Large Language Models: Algorithmic fidelity.PloS one · 2024Article
- Physical activity and transitioning to retirement: evidence from the China health and retirement longitudinal study.BMC public health · 2023Article
- Article
- A protocol for longitudinal monitoring of individual building occupants and their environments.PloS one · 2022Article
- Mind the gap: Habit and self-determined motivation predict health behaviours in middle-aged and older adults.British journal of health psychology · 2021Article
- Perspective: Application of N-of-1 Methods in Personalized Nutrition Research.Advances in nutrition (Bethesda, Md.) · 2021Review
- Poor Mental Health Is Related to Excess Weight via Lifestyle: A Cross-Sectional Gender- and Age-Dependent Mediation Analysis.Nutrients · 2021Article
- Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design.Biomedical engineering online · 2020Review
- Interventions across the Retirement Transition for Improving Well-Being: A Scoping Review.International journal of environmental research and public health · 2020Article
- Analysing N-of-1 observational data in health psychology and behavioural medicine: a 10-step SPSS tutorial for beginners.Health psychology and behavioral medicine · 2020Article
- Self-Regulatory Processes, Motivation to Conserve Resources and Activity Levels in People With Chronic Pain: A Series of Digital N-of-1 Observational Studies.Frontiers in psychology · 2020Article
- Article
- Comparison of Aggregated N-of-1 Trials with Parallel and Crossover Randomized Controlled Trials Using Simulation Studies.Healthcare (Basel, Switzerland) · 2019Article
- Short-Term and Medium-Term Impact of Retirement on Sport Activity, Self-Reported Health, and Social Activity of Women and Men in Poland.BioMed research international · 2019Article
- Profiles of physical activity biographies in relation to life and aging satisfaction in older adults: longitudinal findings.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2019Article
- What possibly affects nighttime heart rate? Conclusions from N-of-1 observational data.Digital healthArticle
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundExisting evidence about the impact of retirement on physical activity (PA) has primarily focused on the average change in PA level after retirement in group-based studies. It is unclear whether findings regarding the direction of PA change after retirement from group-based studies apply to individuals. This study aimed to explore changes in PA, PA determinants and their inter-relationships during the retirement transition at the individual level.
methodsA series of n-of-1 natural experiments were conducted with seven individuals who were aged 55-76 years and approaching retirement. PA was measured by tri-axial accelerometry. Twice-daily self-report and ecological momentary assessments of evidence- and theory-based determinants of PA (e.g. sleep length/quality, happiness, tiredness, stress, time pressure, pain, intention, perceived behavioural control, priority, goal conflict and goal facilitation) were collected via a questionnaire for a period of between 3 and 7 months, which included time before and after the participant's retirement date. A personalised PA determinant was also identified by each participant and measured daily for the duration of the study. Dynamic regression models for discrete time binary data were used to analyse data for each individual participant.
resultsTwo participants showed a statistically significant increase in the probability of engaging in PA bouts after retirement and two participants showed a significant time trend for a decrease and increase in PA bouts over time during the pre- to post-retirement period, respectively. There was no statistically significant change in PA after retirement for the remaining participants. Most of the daily questionnaire variables were significantly associated with PA for one or more participants but there were no consistent pattern of PA predictors across participants. For some participants, the relationship between questionnaire variables and PA changed from pre- to post-retirement.
conclusionsThe findings from this study demonstrate the impact of retirement on individual PA trajectories. Using n-of-1 methods can provide information about unique patterns and determinants of individual behaviour over time, which has been obscured in previous research. N-of-1 methods can be used as a tool to inform personalised PA interventions for individuals within the retirement transition.
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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.