BackgroundTraditional variable-centred approaches often analyse physical behaviours (sedentary behaviour [SB], light physical activity [LPA], and moderate-to-vigorous physical activity [MVPA]) in isolation, potentially masking their combined effects on outcomes. This study applied latent profile analysis, a person-centred approach, to identify naturally occurring physical behaviour profiles in older adults and examined their associations with physical fitness and physical function.MethodsThis cross-sectional study included 1,095 older Portuguese adults (≥ 65 years; 765 females). SB, LPA, and MVPA were assessed using accelerometry (Actigraph; Pensacola, Florida) on the right hip and expressed as percentages of waking time. Latent profile analysis was used to identify distinct profiles based on these percentages. Physical fitness was evaluated by Senior Fitness Test battery and handgrip strength. Physical function was assessed using the 12-item Composite Physical Function questionnaire. Generalised linear models, adjusted for age, were used to examine associations between profiles and outcomes.ResultsThree distinct profiles emerged for both sexes: “balanced movers” (~ 50% SB, ~ 46% LPA, ~ 4% MVPA), “intermediate movers” (~ 66% SB, ~ 32% LPA, ~ 2% MVPA), and “highly sedentary” (~ 80% SB, ~ 20% LPA, < 1% MVPA). Compared to the “highly sedentary” groups, both “balanced movers” and “intermediate movers” demonstrated better performance on most physical fitness tests and reported higher physical function. Notably, “intermediate movers”, performed similarly to “balanced movers” in most measures.ConclusionsDistinct physical behaviour profiles exist among older Portuguese adults. Profiles characterised by lower SB and higher LPA, even when not fully meeting MVPA recommendations (“intermediate movers”), were associated with better physical fitness and physical function compared to the “highly sedentary” profile. This underscores the importance of reducing SB and promoting LPA along with MVPA. By uncovering these behavioural profiles among older adults, latent profile analysis provides valuable insights to guide the development of more personalized interventions for healthy ageing.Supplementary InformationThe online version contains supplementary material available at 10.1186/s11556-025-00397-4.

Retirement is a major life transition that can alter patterns of movement behaviors (physical activity, sedentary behavior and sleep). While some studies indicate an increase in physical activity post-retirement, others report a rise in sedentary behavior. However, evidence is lacking on how individuals re-allocate time among movement behaviors, particularly using analytical approaches that account for the co-dependence of 24-hour time-use data. Furthermore, little is known about how pre-retirement occupational physical activity (OPA) levels influence physical activity after retirement. This study examined changes in the relative time spent in sleep, sedentary behavior (SB), light physical activity (LPA), and moderate-vigorous physical activity (MVPA) over retirement, and how these changes vary by pre-retirement OPA levels. Data were drawn from the Swedish Retirement Study, which followed 112 participants (47 men, 65 women; age: 60–72) at three timepoints during the retirement transition. Movement behavior and sleep data were collected over a week-long period using thigh-worn accelerometers and wrist-worn actigraphs. Compositional data analysis (CoDA) was employed to account for the co-dependent nature of 24-hour time-use data. Multivariable linear mixed models, adjusted for sociodemographic and health covariates, were used to evaluate the associations between retirement, OPA tertiles, and movement behaviors. In the overall sample, changes in movement behaviors mainly involved sleep. However, substantial variation was observed across OPA tertile groups. The sleep-to-wake time ratio increased in the high OPA group and, to a lesser extent, in the medium OPA group. Regarding physically active and sedentary time, a convergence between the high and low OPA groups was observed, as pre-retirement differences diminished. Specifically, the ratio of physically active time to SB decreased in the high OPA group and increased in the low OPA group. The findings indicate that pre-retirement OPA is a significant factor in understanding changes in movement behaviors during the retirement transition. The reduction in post-retirement physical activity among high-OPA workers may represent a healthier rebalancing rather than a decline, which aligns with the “physical activity paradox” and the “Sweet-Spot Hypothesis”. This evidence highlights the need for tailored interventions for retirees, particularly those from physically demanding occupations.

BackgroundPhysical inactivity in older adults is a major public health concern associated with numerous non-communicable chronic conditions. Several behaviour theories have been advanced to address the issue of physical inactivity including Transtheoretical Model (TTM) of Change among older adults. The study aimed to primarily assess the cumulative effect of TTM-based interventions on physical activity and secondarily on self-efficacy among older adults.MethodsA systematic search of electronic databases (including Cochrane Library, AgeLine, Medline, Scopus, PsycINFO, and Web of Science Core Collections) was searched from inception to August 2024. Inclusion criteria comprised studies investigating TTM-based interventions on PA in individuals aged 60 and above, randomised controlled trials (RCTs) and non-RCTs. Risk of bias was assessed using Cochrane Collaboration’s tool for RCTs while ROBIN-I was used for non-RCTs. The Grading of Recommendations Assessment, Development and Evaluation was used to evaluate the certainty of the evidence. Study findings were narratively synthesised in line with the Synthesis Without Meta-analysis framework.ResultsThree studies (two RCTs and one non-RCT) met the inclusion criteria, comprising 1,474 participants (65–89 years; 71% females). TTM interventions showed low certainty of evidence of no significant effects on physical activity or self-efficacy for the RCTs. In contrast, the non-RCT showed very low-certainty evidence for the significant effects of TTM on physical activity among participants in the under-maintenance and maintenance stages, with long-term benefits limited only to those already in the maintenance stage. For self-efficacy, there was very low certainty of evidence for the significant effects of TTM only among participants in the under-maintenance stage.ConclusionThis review highlights the limited, inconsistent and low level of evidence of the effects of TTM-based interventions in promoting physical activity among older adults. Whilst for self-efficacy, there is limited, mixed and low to very low level of evidence for the beneficial effects of TTM interventions. More RCTs are needed to identify the most effective components of the TTM and understand the impact of different intervention delivery methods (e.g., digital versus face-to-face) for physical activity promotion in the older adult population.Supplementary InformationThe online version contains supplementary material available at 10.1186/s11556-025-00391-w.

ObjectiveThis reporting guideline was developed to address the gap in methodological reporting standards for trials investigating physical exercise or training in older adults, aiming to enhance the quality, transparency, and replicability of such research. The aim is to improve the reporting of key elements, including population characteristics, intervention components [e.g., Frequency, Intensity, Time, Type (FITT) principles, tailoring, use of technology], study design and methods (e.g., recruitment, randomization, statistical analysis), as well as study results, including outcomes and adherence measures.MethodsA six-stage process was used to develop this guideline. This included a three-round Delphi process involving experts from a large European network (COST Action PhysAgeNet), a comprehensive literature review of existing reporting guidelines, consensus meetings with international experts, and validation with journal editors who evaluated and refined the guideline.ResultsThe final PETIO guideline includes an expanded checklist of items to report in the context of physical exercise interventions in older adults. Experts and editors agreed on essential items for improving quality, transparency, and replicability, such as intervention components (FITT) and setting, tailoring aspects, adverse events, and control group specifications. Notably, it was also emphasized that standardized reporting is critical for future meta-analyses and the implementation of future research protocols.ConclusionThe guideline is expected to support researchers, peer reviewers, and journal editors in improving the quality and transparency of research on physical exercise interventions in older adults. Release date2025 (original version).AvailabilityThe guideline is freely accessible online in the supplemental material.Supplementary InformationThe online version contains supplementary material available at 10.1186/s11556-025-00390-x.

BackgroundAs life expectancy increases, the incidence of age-related chronic health conditions and functional decline rises, increasing the need for institutional long-term care such as nursing homes. In Norway, 84% of nursing home residents have mild cognitive impairment or dementia. This population is characterized by a high burden of neuropsychiatric symptoms (NPS), which contribute to limited physical activity (PA) and a largely sedentary lifestyle. Regular PA is essential for maintaining physical function (PF) and independence, yet nursing home residents spend most of their time being sedentary. The present study aims to explore sensor-based measured PA patterns and investigate how PA is associated with NPS and PF in nursing home residents.MethodsThis cross-sectional study used data from the fourth wave of the population-based Trøndelag Health Study 70-years-and-older cohort (HUNT4 70+), including activity data from a total of 163 nursing home residents. PA was measured using two accelerometers placed on the lower back and thigh. PA patterns were described through the activity types walking, standing, sitting, and lying, activity bouts, and transitions. NPS was assessed using the Nursing Home Version of the Neuropsychiatric Inventory (NPI-NH), and PF using the Short Physical Performance Battery (SPPB). All outcome variables were grouped based on cognitive impairment and dementia severity, set by clinical experts using the DSM-5 diagnostic criteria and the Clinical Dementia Rating (CDR) scale.ResultsParticipants’ mean age was 87.8 years, and 62% were female. With a daily average of 17.6 min walking, 1.1 h standing, 9.9 h sitting, and 12.7 h lying, our nursing home residents spent approximately 94% of the day being sedentary. Walking and standing appeared predominantly in bouts under 10 min across cognitive impairment and dementia severity. No association was found between time spent walking, standing, sitting, lying and transitions from sedentary behavior to activity with NPS. Time spent walking, standing, lying and transitions from sedentary behavior to activity was significantly associated with PF.ConclusionsPA mainly occurred in bouts shorter than 10 min and sitting and lying accounted for most of the daily behavior. No association was detected between time spent in different activities and NPS. Although time spent walking and standing was limited in all groups, it showed an association with PF. This may suggest that even small amounts of PA play a significant role in maintaining or improving physical capabilities in nursing home residents.Supplementary InformationThe online version contains supplementary material available at 10.1186/s11556-025-00389-4.

Globally, 31% of adults are physically inactive, with higher rates in older adults. This situation is even more pronounced among older adults from ethnic minority backgrounds, including those from the Chinese diaspora—a rapidly growing but often overlooked population. To explore the barriers and facilitators to engaging in physical activity (PA) among older adults from the Chinese diaspora. A mixed-methods systematic review was conducted following Joanna Briggs Institute methodology guidelines. We searched seven databases: Embase, MEDLINE, PsycINFO, CINAHL Plus, Sociological Abstracts, Cochrane Central Register of Controlled Trials, and the Chinese Biomedical Database in September 2024. We included qualitative and quantitative studies related to views and experiences regarding participation in PA of adults aged 50 years or older, from the Chinese diaspora. A thematic synthesis approach was used to summarise the findings. Risk of bias was assessed using MMAT, and confidence in the evidence using GRADE-CERQual. The protocol was registered on PROSPERO (CRD42023392522). Ten qualitative studies, four quantitative cross-sectional surveys, and one mixed-methods study were included. Twenty-three factors were identified; over half had high certainty. Barriers and facilitators to PA among older Chinese adults aligned with the COM-B model: capability (e.g., health, skills, knowledge, language), opportunity (e.g., PA programme, environment, resources, social support, time), and motivation (e.g., beliefs, concerns, family harmony, enjoyment, habit, reinforcement). Unique factors included language and cultural barriers, family obligations as barriers, and family harmony as a facilitator. The findings of this review support the development of tailored PA promotion interventions for older adults from the Chinese diaspora by enhancing their capability, opportunity, and motivation. Interventions should incorporate culturally sensitive elements, such as promoting PA benefits through traditional Chinese philosophy, offering traditional exercise programmes, developing Chinese exercise groups, and emphasising family harmony to boost motivation.

BackgroundAs populations age, maintaining physical activity (PA) is essential to reduce chronic disease risk and preserve functional independence in older adults. Technology-supported interventions, such as wearables, mobile applications, and web-based platforms, have emerged as effective tools to promote PA. However, engagement with technology alone is not sufficient. Effectiveness depends on whether digital tools foster sustained adherence to prescribed PA, since health benefits are dose-dependent on activity levels. In this sense, adherence matters not just for short-term participation but for embedding long-term behaviour change, an especially pressing challenge for older adults, who are typically less active and may experience greater barriers to digital engagement. This scoping review aimed to identify psychological and motivational factors that influence adherence to both the physical activity component and the supporting technology.MethodsA systematic search was conducted across three databases (PubMed, Web of Science, Scopus) for studies published between 2000 and March 2023. Fifty-three studies were included, encompassing qualitative, quantitative, and mixed-methods designs. Behaviour Change Techniques (BCTs) were identified and categorised using the BCT Taxonomy v1, distinguishing between techniques delivered via technology and those delivered through human interaction. Data were synthesised, distinguishing between adherence to physical activity and adherence to technology use.ResultsFrequently used BCTs included self-monitoring, goal setting, action planning, feedback, prompts/cues, and social support, with different techniques emphasised in digital versus human-facilitated delivery modes. From the qualitative data, 417 psychological and motivational factors were identified and grouped into 25 thematic categories. These were structured into five domains: (1) user factors related to technology adherence, (2) technology-related factors influencing technology adherence, (3) context factors related to technology adherence, (4) user factors related to PA adherence, and (5) context factors related to PA adherence. Key facilitators included ease of use, personalised content, motivational feedback, and social support, while key barriers included low digital literacy, repetitive content, and lack of guidance. Quantitative findings revealed 19 associations between psychological/motivational variables and adherence outcomes, of which 12 were statistically significant.ConclusionsThis review provides a comprehensive overview supporting the understanding of what determines adherence in technology-supported PA interventions for older adults from a psychological and motivational perspective. By differentiating between technology adherence and PA adherence, and considering the BCTs that are incorporated in the interventions, our findings offer actionable guidance for researchers and developers to design more inclusive, motivating, and sustainable interventions that promote active ageing.

BackgroundGiven that limited research has examined the relationships between lifestyle activities of varying intensities, including moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), and sedentary behavior (SB), and dynapenia, which refers to an age-related decline in muscle function, this study aimed to investigate the longitudinal associations between MVPA, LPA, and SB and the risk of dynapenia among older adults in Taiwan.MethodsThis longitudinal study included older adults aged ≥ 65 years with independent mobility, recruited from the National Taiwan University Hospital. Baseline data were collected from September 2020 to December 2021 and follow-up data were collected until December 2022. Participants wore a tri-axial accelerometer (GT3X + ActiGraph) on the hip for seven consecutive days to evaluate baseline time spent of MVPA (≥ 2020 counts/min), LPA (100–2019 counts/min), and SB (< 100 counts/min). To confirm the dynapenia classification at baseline and follow-up, participants underwent standard assessments, including handgrip dynamometry for muscle strength, bioelectrical impedance analysis for muscle mass, and a 6-m walk test for physical performance. Adjusted binary logistic regression analyses were conducted to examine the association between lifestyle activities and dynapenia risks.ResultsAmong 154 participants (mean age 80.3 ± 7.2 years; 53.9% women), 53.9% were classified as having dynapenia at baseline, compared to 55.2% at follow-up. Participants spent an average of 16.9 (± 26.6) min in MVPA, 249.5 (± 85.7) min in LPA, and 604.5 (± 76.4) min in SB daily. The longitudinal analysis results indicated that higher MVPA time was significantly associated with lower odds of dynapenia in both the unadjusted (odds ratio [OR] = 0.625, 95% confidence interval [CI]: 0.466–0.837) and fully adjusted models (OR = 0.578, 95% CI: 0.406–0.823). Each additional 10 min/day of MVPA was associated with 42.2% lower odds of dynapenia in the adjusted model. No significant prospective associations were observed between the LPA or SB time and dynapenia.ConclusionThis study provides longitudinal evidence that higher MVPA levels are significantly associated with a reduced dynapenia risks among community-dwelling older adults in Taiwan. These findings underscore the importance of promoting MVPA as a part of lifestyle interventions aimed at preserving muscle function and preventing dynapenia in older populations.