Leisure-time Physical Activity Research Articles

Impact of loneliness and social support on leisure physical activity in adolescents in Luxembourg

Abstract Background Healthy lifestyle includes a regular practice of vigorous physical activity in adolescents’ leisure time. Engaging in physical activity (PA) depends on individual, social and environmental factors. Previous literature has showed that social support and loneliness can influence the practice of PA. The study aims to analyse the relation between PA during leisure time and social support and loneliness among adolescents in Luxembourg. Methods The study includes 7049 adolescents from the Health Behaviours in School-aged Children (HBSC) Luxembourg 2022 survey. PA in leisure time was categorised according to WHO recommendations for vigorous physical activity. Perceived social support (friends, family, teacher, and classmate) was dichotomised in high support and in low/medium and loneliness in feel often lonely and not feel often lonely. It was executed a binomial logistic regression to analyse the PA levels in leisure time by loneliness and social support, controlling by age, migration background, perceived wealth, and family structure, split by gender. Results In Luxembourg, boys who perceived high support from most of the sources and didn’t feel often lonely had higher chances to reach WHO recommendations for PA during leisure time (e.g. loneliness: OR = 1.38, CI95%[1.11-1.74]; family support: OR = 1.31, CI 95%[1.10-1.56]), except for teacher support (OR = 0.79, CI95%[0.67-0.93]). In contrast, girls who only perceived high support from classmates (OR = 1.21, CI95%[1.05-1.4]) and teachers (OR = 1.19, CI95%[1.01-1.38]) had higher chances to be physically active. Conclusions This is the first study to investigate the impact of social support and loneliness among adolescents in Luxembourg. Future research should investigate social-related barriers and facilitators of PA during leisure time. Key messages • Understanding adolescents social support can guide towards effective strategies that promote physical activity during leisure time. • Boys benefit from several social support sources, while girls thrive with encouragement from classmates and teachers to stay physically active in leisure time.

Forecasting cognitive functioning: an artificial intelligence approach with Dynamic Bayesian Networks

Abstract Background Several potentially modifiable risk factors are associated with subjective cognitive decline (SCD). However, developmental patterns of these risk factors have not been used before to forecast later SCD. Practical tools for the prevention of cognitive decline are needed. We examined multifactorial trajectories of risk factors, and their associations with SCD using an artificial intelligence approach to build a score that forecasts later SCD. Methods Five repeated surveys (2000-2022) of the Helsinki Health Study (n = 8960, 79% women, aged 40-60 at Phase 1) were used to build dynamic Bayesian networks (DBN) for estimating the odds of SCD. A score-based approach was implemented for learning DBN using the quotient normalized maximum likelihood criterion. The model was used to predict SCD based on the history of consumption of fruit and vegetables, smoking, alcohol consumption, leisure-time physical activity, body mass index, and insomnia symptoms, adjusting for sociodemographic covariates. Results Of the participants, 31-48% reported decline in memory, learning, and concentration in 2022. Physical activity was the strongest predictor of SCD in a 5-year interval, with an odds ratio of 0.76 (95% Bayesian credible interval 0.59-0.99) for physically active compared to inactive participants. Alcohol consumption showed a U-shaped relationship with SCD. Other risk factors had minor effects. Conclusions A new online risk score tool was developed that enables individuals to inspect their own risk profiles, as well as explore potential targets for interventions and their estimated contributions to later SCD. Dynamic decision heatmap was presented as a communication tool to be used at healthcare consultations. Key messages • Potentially modifiable health-related behaviours such as physical activity can contribute to subjective cognitive decline. • Artificial intelligence can be applied to discover the complex interactions between risk factors and subjective cognitive decline, to support preventive healthcare at individual and population levels.

Artificial intelligence to predict estimates of physical activity in small geographic areas

Abstract Background Artificial intelligence (AI) predictive models have been used to estimate the risk of a certain outcome occurring, using all available variables. Methods Using AI methods we have developed a small area estimation (SAE) technique to estimate the prevalence of leisure-time physical activity (LTPA), or who practices 150 minutes of LTPA per week, in small areas, in Belo Horizonte, Brazil, between 2009 and 2018, by the usage of k-means clustering. The VIGITEL, national telephone survey of Risk Factors for non-communicable diseases, was the main source. We applied available data to estimate prevalence of LTPA in 3300 census tracts, aggregated in 150 Primary Health Care (PHC) areas. The prevalence of PA was analyzed between two time periods, due to the low number of census tract interviews. With the available data, we estimate vulnerability clusters, derived from a Health Vulnerability Index (IVS), for the city of Belo Horizonte, according to socioeconomic, sanitation and health indicators, which measure the percentage of the population living in areas of vulnerability in the city. The index main purpose is to support public policy implementation. Results Nine clusters were identified according to the Silhouette coefficient analysis, i.e.: low (LO-0, LO-1), medium (ME-0, ME-1), high (HI-0, HI-1, HI-2) and very high) vulnerability (VH-0, VH-1. The prevalence of physical activity ranged from 23.7% (worst prevalence), in area of high vulnerability cluster (VH-1) to 45.5% in a low-risk cluster (LO-1) in period from 2009 to 2014. The prevalence of physical activity increased to 31.4% (high vulnerability cluster) to 52.81% (low-risk cluster) from 2014 to 2018. Conclusions The use of AI to estimate the prevalence of physical activity in small areas proved to be effective and highlighted important differences in the city. Thus, national surveys, with a small number of interviews per census sector, can be used to predict risks and health outcomes for small areas. Key messages • The study highlights the importance of using artificial intelligence to predict estimates of risk factors for chronic non-communicable diseases in small geographic areas. • The study showed less physical activity (PA) in areas of greater vulnerability. This can support health promotion policies and programs that encourage PA.

Automated digital counselling promotes therapeutic change in mental health in patients with chronic heart failure or chronic kidney disease: ODYSSEE-vCHAT study

Abstract Background The efficacy of digital programs to improve the management of chronic heart failure (CHF) and chronic kidney disease (CKD) is not established. Building on related studies in digital health, behavioural counselling, and social support, we evaluated whether an automated digital counselling program with social network support (ODYSSEE-vCHAT) could improve mental health and health-related quality of life in patients with CHF or CKD. Purpose The primary objective was to examine whether engagement with ODYSSEE-vCHAT was associated with a minimal clinically important difference for improvement in the Mental Component Summary (MCS) of the SF-36 at end-of-study. Secondary outcomes included: ENRICHD Social Support Index (ESSI), Patient Health Questionnaire for Depression (PHQ-9) Godin-Shephard Leisure Time Physical Activity Scale (GSLTPAQ), and an index of the frequency to which patients engaged in goal-directed activities for living well (EUROIA). Methods ODYSSEE-vCHAT was a multi-centre, single group, open label study with assessments at baseline and end-of-study (approximately 11 months). Inclusion criteria were: ≥18 years of age, diagnosis of CHF (reduced ejection fraction (EF) ≤ 40%, mid-range EF, 41-49%, or preserved EF ≥ 50%); or CKD diagnosis (>10% risk for dialysis using the 4-variable, 2-year Kidney Failure Risk Equation, or on dialysis). Exclusion was based on inability to participate due to co-morbidities. The digital counselling protocol taught self-care skills to improve mental health, quality of life, and adherence to medications, exercise, diet, and smoke-free living (Figure 1). Patient engagement with ODYSSEE-vCHAT was defined as Not Engaged (0 logon minutes) vs. Engaged (> 0 logon minutes). The primary outcome was a minimal clinically important difference for MCS change: ΔMCS ≥ 3.8 or MCS ≥ 65 at baseline and study endpoint. It was assessed using multivariable binary logistic regression, controlling for exposure to COVID-19 and health literacy. Secondary outcomes were assessed using multivariable linear regression analyses with the same covariates. Results 215 patients were enrolled. There were 7 deaths and 34 withdrew. In our sample of 174 patients, mean age = 54.4 years (95% Confidence Interval, CI, 25, 81), gender identity as women, n = 68 (39%), ethno-racial group other than White, n = 83, (48%), primary diagnosis, CHF, n = 68 (39%), and CKD, n = 106 (61%). Duration of enrolment to end-of-study: median = 352 days, (95% CI, 159, 496). Engagement with ODYSSEE was associated with therapeutic change on the MCS (for both CHF and CKD patients, and CHF patients alone), GSLTPAQ, and EUROIA, but not the PHQ9 or ESSI (Figure 2). Conclusions Automated digital counselling with social network support promotes improvement in indices of mental health for patients with CHF and CKD. These findings support a follow-up randomized controlled trial.Figure 1.ODYSSEE-vCHAT Study ProtocolFiFigure 2.ODYSSEE-vCHAT Study Outcomes

Automated digital counselling with social network support for chronic heart failure fails to improve health status but promotes health-related quality of life: ODYSSEE-vCHAT pilot trial

Abstract Background Automated digital counselling programs have the potential to provide a scalable, complementary behavioural intervention to improve clinical outcomes for chronic heart failure (CHF). Purpose The primary hypothesis for this pilot trial was that automated digital counseling with social network support (ODYSSEE-vCHAT) vs. Usual Care would decrease the incidence of all-cause re-hospitalization or ED visits. Secondary outcomes included: minimal clinically important difference for improvement on the Kansas City Cardiomyopathy Questionnaire-Overall Summary (KCCQ-OS), and improvement on ENRICHD Social Support Index (ESSI), Patient Health Questionnaire for Depression (PHQ-9) Godin-Shephard Leisure Time Physical Activity Scale (GSLTPAQ), and Self-Efficacy in Managing Chronic Disease (SEMCD6). Methods This 2-arm, parallel group, single-blind pilot trial randomized patients to ODYSSEE-vCHAT vs. Usual Care. Patients were ≥18 years of age with CHF (reduced ejection fraction [HFrEF] < 40%, mid-range [HFmrEF] 40-49%, or preserved [HFpEF] ≥ 50%). Exclusion was based on inability to participate due to co-morbidities. All-cause hospitalization or ED visit were assessed digitally by hospital administrative data. Questionnaires were administered at baseline and end-of-study (approximately 8 months). The digital counselling protocol aimed to improve CHF self-care, HRQL, and adherence to medications, exercise, diet, and smoke-free living (Figure 1). The primary outcome was assessed using multivariable binary logistic regression. Secondary outcomes were assessed using multivariable linear regression analyses with ethno-racial group as a covariate. Results 61 patients were randomized: ODYSSEE-vCHAT, n = 30 (49%), vs. Usual Care, n = 31 (51%). There were 2 deaths, 3 withdrawals, and 12 patients failed to complete secondary outcome assessments. Sample characteristics included mean age = 59 years (95% Confidence Interval, CI, 30, 76), gender identity as women, n = 23 (38%), ethno-racial group other than White, n = 17, (28%) and CHF with HFrEF, n = 47 (77%), HFmrEF, n = 8 (13%), and HFpEF, n = 4 (7%). Duration of enrollment to trial endpoint: mean = 247 days, (95% CI, 75, 382). Figure 2 indicates that ODYSSEE-vCHAT was not associated with lower incidence of all-cause hospitalization/ED visit: composite index events for Usual Care, n = 8 (28%), ODYSSEE-vCHAT, n = 7 (23%). However, ODYSSEE-vCHAT was associated with greater prevalence of KCCQ-OS change (≥ 5 points), and greater improvement in self-efficacy (SEMCD6) for managing CHF. There was a statistical trend to decreased prevalence of depression. Social support was inversely associated with ODYSSEE-vCHAT. No benefit was observed for physical activity (Figure 2). Conclusions Automated digital counselling with social network support promotes improvement in HRQL indices, but not health status. Findings for this pilot trial support a follow-up phase 2 randomized controlled trial.Digital Counselling ProtocolODYSSEE-vCHAT Outcomes

Impact of retirement on physical activity in older adults: a longitudinal analysis from SHARE

Abstract Background With ageing populations experiencing longer post-retirement years, understanding the influence of major life transitions on health behaviours such as physical activity (PA) is crucial. This study assesses how retirement affects PA levels by analysing longitudinal data from the Survey of Health, Ageing and Retirement in Europe (SHARE). Methods This analysis utilised longitudinal data from 2004 to 2020, categorising PA according to WHO guidelines adapted to individual-level data from successive waves of SHARE. The study examined the relative risks (RR) of being physically active, using generalised estimating equation models to compare periods before and after retirement. Results The cohort consisted of 8,998 individuals aged 50 and older who were employed at baseline and retired during the study period. Initially, 83.6% of participants were categorised as physically active. A noticeable decline in PA was observed post-retirement, with RR decreasing from 1.08 (95%CI 1.07-1.10) more than 10 years before retirement to 0.90 (95%CI 0.88-0.93) more than 10 years after retirement, compared to the year of retirement. Previously inactive individuals often increased their PA levels, peaking 3 to 4 years post-retirement (RR increased from 0.79, 95%CI 0.70-0.88, to 1.49, 95%CI 1.36-1.63), suggesting a temporary boost in moderate-intensity PA during the so-called “honeymoon phase”. Conclusions Retirement can serve as a window of opportunity for enhancing leisure-time PA, particularly among those previously inactive. Sustained increases in PA are less common, highlighting the need for targeted interventions to support continued engagement in PA among retirees. The variations in PA trends suggest that interventions should be tailored to individual characteristics such as age at retirement, previous job type, and educational background to maximise public health impact. This study underscores the challenges of ensuring long-term health benefits through PA. Key messages • Retirement significantly alters physical activity patterns, highlighting an opportunity for targeted health interventions. • Longitudinal data reveals critical periods post-retirement that could benefit from public health strategies to maintain or increase physical activity among older adults.

Combined association between dietary antioxidant quality score and leisure-time physical activity on sleep pattern in cancer survivors: a cross-sectional study of NHANES database.

This study aimed to explore the combined association between the dietary antioxidant quality score (DAQS) and leisure-time physical activity on sleep patterns in cancer survivors. Data of cancer survivors were extracted from the National Health and Nutrition Examination Surveys (NHANES) database in 2007-2014 in this cross-sectional study. Weighted multivariable logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association of DAQS and leisure-time physical activity on sleep patterns. The combined association was also assessed in subgroups of participants based on age, and use of painkillers and antidepressants. Among the eligible participants, 1,133 had unhealthy sleep patterns. After adjusting for covariates, compared to low DAQS level combined with leisure-time physical activity level <600 MET·min/week, high DAQS level combined with leisure-time physical activity ≥600 MET·min/week was associated with lower odds of unhealthy sleep patterns (OR=0.41, 95%CI: 0.23-0.72). Additionally, the association of high DAQS level combined with high leisure-time physical activity with low odds of unhealthy sleep patterns was also significant in <65 years old (OR=0.30, 95%CI: 0.13-0.70), non-painkiller (OR=0.39, 95%CI: 0.22-0.71), non-antidepressant (OR=0.49, 95%CI: 0.26-0.91) and antidepressant (OR=0.11, 95%CI: 0.02-0.50) subgroups. DAQS and leisure-time physical activity had a combined association on sleep patterns in cancer survivors. However, the causal associations of dietary nutrient intake and physical activity with sleep patterns in cancer survivors needs further clarification.

Association between leisure-time physical activity and incident cancer risk: a nationwide population-based cohort study

BackgroundThe effects of physical activity on the development of different types of cancers have not been comprehensively studied. This nationwide, population-based cohort study investigated the effects of leisure-time physical activity (LTPA) on the development of different types of cancer in Taiwanese adults. A total of 67,890 adult participants (≥ 18 y old) from five rounds (2001, 2005, 2009, 2013, and 2017) of the Taiwan National Health Interview Survey were included. LTPA was measured as the metabolic equivalent of task (MET) expenditure per week and was classified as inactive (< 1 MET-h), low (1-7.49 MET-h), or high (≥ 7.5 MET-h). The LTPA and other covariates were collected through in-person interviews at baseline. New-onset cancer was ascertained from histopathological reports. The Fine-Gray sub-distribution method, with death as a competing risk, was used to determine the impact of LTPA on incident cancer risk.ResultsDuring the 844,337 person-years of follow-up, 4,435 individuals developed cancer. Compared to inactive adults, individuals engaging in high levels of LTPA (≥ 7.5 MET-h/week) were significantly associated with a reduced risk of developing cancer (adjusted hazard ratio [aHR] = 0.93; 95% confidence interval [CI] = 0.87–0.99). However, those with low levels of LTPA (1-7.49 MET-h/week) did not exhibit a significant association with a reduced risk of developing cancer (aHR = 1.00; 95% CI = 0.92–1.10). When considering specific types of cancers, participants with high levels of LTPA (≥ 7.5 MET-h/week) had a significantly lower risk of developing bladder cancer (aHR = 0.68; 95% CI = 0.47–0.99), cervical cancer (aHR = 0.48; 95% CI = 0.24–0.95), and thyroid cancer (aHR = 0.64; 95% CI = 0.44–0.93).ConclusionsOur findings suggest that high LTPA (≥ 7.5 MET-h/week) is significantly associated with a low risk of incident bladder, cervical, and thyroid cancers.

Sleep, dietary intake and physical activity changes with onset of shift work in intern paramedics

Paramedic work is associated with high staff turn-over, insufficient sleep and adverse health outcomes. Our understanding of the relationship between paramedic work and the health behaviours that may precede adverse health outcomes is limited, as few longitudinal studies have examined health behaviours in workers before they commence on the road work. Such research is needed to inform evidence-based recommendations specifically for new paramedics. The current observational cohort study examined self-reported sleep, dietary intake and physical activity in 21 intern paramedics: 15 female and 6 male (median age: 23.0 years [interquartile range (IQR): 4.0]) from an Australian ambulance service. A subset of participants ( n = 16) provided fasting blood samples for cardiometabolic markers (cholesterol, triglycerides and fasting glucose). Data were collected quarterly (pre-shift work, 3 months, 6 months, 9 months and 12 months post commencement). Linear mixed models showed that the first 12 months of shift work were associated with poorer sleep quality ( p = .036), consumption of fewer kilojoules ( p = .026), reduced saturated fat consumption ( p = .005) and lower sodium ( p = .043) and sugar ( p = .038) intake. There were significant increases in leisure time physical activity ( p = .008). This study shows negative changes in sleep quality and improvements in diet and leisure time physical activity during the first 12 months of paramedic work. Individual differences observed in this study, and ongoing suboptimal dietary intake, highlight a need for larger studies with more participants and a focus on personalised strategies for new recruit paramedics.

Exploring the Link Between Physical Activity, Sports Participation, and Loneliness in Adolescents Before and Into the COVID-19 Pandemic: The HUNT Study, Norway

Background: The COVID-19 pandemic’s effects on adolescents’ physical activity, sports involvement, and feelings of loneliness remain inadequately understood. This study aimed to explore the shifts in leisure-time physical activity, sports participation, and loneliness among adolescents before and during the pandemic, positing that the pandemic has led to decreased physical activity and sports engagement, as well as heightened loneliness, where more active adolescents experience lower loneliness levels. This study included a prior four-year follow-up cohort from the same region two decades earlier to explore the existence of typical longitudinal aging effects in a cohort not affected by the pandemic. Methods: Prospective and longitudinal data from two cohorts of the Young-HUNT Study two decades apart involving adolescents aged 13–19 years were utilized. The controls were as follows: Cohort 1 from the Young-HUNT1 (YH1) Survey included 2399 adolescents with follow-up in the Young-HUNT2 (YH2) Survey four years later. Cohort 2 included the Young-HUNT4 (YH4) Survey (2017–2019) of 8066 adolescents, with a subset of 1565 participants followed up in the Young-HUNT COVID Survey (YHC) (2021) after exposure to the COVID-19 pandemic and associated restrictions. Changes over time were assessed using McNemar’s tests and dependent sample T-tests, while multinomial logistic regression modeled within-individual changes in loneliness, adjusting for age, gender, and other factors. Results: The findings revealed a significant decline in physical activity and sports participation in both cohorts from early to late adolescence. Additionally, there was a considerable increase in reported loneliness, more after exposure to the pandemic and especially among girls, but without any difference in historical initial levels (between cohorts). Inactive adolescents faced a greater risk of increased loneliness, while those participating in sports had a lower risk of loneliness. Physically inactive boys had a higher risk of loneliness compared with physically active boys at both time points in Cohort 2, which was higher than in the control Cohort 1. There was no historical difference between initial assessments. Conclusion: Adolescents experienced a significant decrease in physical activity and sports participation, along with increased loneliness, from early to late adolescence. Given the protective benefits of physical activity against loneliness and the negative longitudinal trends observed, public health initiatives should focus on increasing physical activity and reducing sports drop-out rates among adolescents to combat rising loneliness.

Association of Physical Fitness with Leisure Time Physical Activity in Individuals with Spinal Cord Injury

Abstract Background: Physical fitness of persons with spinal cord injury (SCI) is related to their upper limb strength and range of motion. A change in these factors may impact their participation in physical fitness, and consequently leisure time activities. The objective of the study was to examine an association of physical fitness with leisure time physical activity (LTPA) in people with SCI. Materials and Methods: This was a cross-sectional observational study conducted among 30 male and female participants with SCI. Physical fitness and LTPA were assessed using a 6-min push test and physical activity recall assessment for people with SCI, respectively. Spearman’s Rank correlation coefficient was used to estimate the correlation between physical fitness and LTPA in persons with SCI. Results: The mean age of the participants was 33.6 ± 7.73) years. This study found a positive weak to no correlation between physical fitness and LTPA in individuals with SCI (r s = 0.1008) that was statistically nonsignificant (P &gt; 0.596). In this study, 28 (93.33%) participants had good physical fitness, and 19 (63.33%) participants performed LTPA for 20 min or more in a day, whereas 11 (36.67%) performed less than 20 min per day. Conclusion: Though most of the participants had good physical fitness, they performed only exercise-based activities such as walking with orthosis, pushups exercises, and resistance training exercises for upper limb muscles in their leisure time. They did not participate in LTPA such as sports, gardening, swimming, and other recreational activities. Furthermore, studies can be done to understand the perception of physiotherapists and SCI individuals toward the participation of LTPAs.

What is the role of leisure-time physical activity in the association between neighborhood environmental characteristics and hypertension in older adults? The EpiFloripa Aging Cohort study

BackgroundResearch suggests a link between the urban built environment and blood pressure, potentially mediated by physical activity. This study aims to investigate the relationship between perceived neighborhood characteristics and blood pressure in older adults, as well as the mediating role of walking in this relationship. MethodsData from the third wave of the EpiFloripa Aging Cohort Study in Florianopolis, Brazil (2017–2019; n = 1335) were used for this cross-sectional analysis. Blood pressure was measured using digital devices, and hypertension diagnosis relied on healthcare professionals’ information. The neighborhood environment was assessed with the Abbreviated Neighborhood Environment Walkability Scale, while walking was evaluated with the International Physical Activity Questionnaire. Multilevel logistic regression analyzed the association between the neighborhood environment, blood pressure, and hypertension. Structural equation modeling assessed the mediation effect of walking. ResultsHypertension prevalence was 85.3 %, with 69.0 % having objectively measured elevated blood pressure. Results showed that older adults perceiving better infrastructure for physical activity (OR: 0.88; CI: 0.78–0.99), increased safety in their neighborhood (OR: 0.88; CI: 0.79–0.99), traffic security (OR: 0.88; CI: 0.78–0.99) and better overall perception of the environment (OR: 0.73; IC: 0.55–0.98) had a lower likelihood of self-reported hypertension. The association between self-reported hypertension and overall perception of the environment was partially explained by leisure-time walking (β = -0.01; p < 0.05). ConclusionOur findings suggest that public policies promoting the establishment of safe and supportive spaces for physical activity emerge as essential measures in the prevention and management of hypertension in older adults.

Associations between leisure time, non-leisure time physical activity, and kidney function in Japanese adults: a cross-sectional study

BackgroundChronic kidney disease (CKD) contributes to decreased life expectancy. We examined the association between leisure-time physical activity (LTPA), non-leisure-time physical activity (non-LTPA) and kidney function.MethodsThis was a cross-sectional study including 32 162 community-dwelling adults aged ≥ 20 years from the Tohoku Medical MegaBank community-based cohort study. Kidney function was evaluated using cystatin C-based estimated glomerular filtration rate (eGFR) as well as self-reported LTPA and non-LTPA. CKD was defined as either eGFR decline (≤ 60 mL/min/1.73 m2) or presence of albuminuria (albumin-creatinine ≥ 30 mg/g). The association between domain-specific physical activity and kidney function, and CKD prevalence was examined using multivariable-adjusted ordinary least squares and modified Poisson models.ResultsThe mean eGFR was 98.1 (± 13.2) mL/min/1.73 m2. 3 185 (9.9%) participants were classified as having CKD. The mean LTPA and non-LTPA levels were 2.9 (± 4.2) and 16.6 (± 14.2) METs-hour/day, respectively. For LTPA, in the adjusted model, the quartile groups with higher levels had a higher kidney function (β, 0.36; 95% confidence intervals [CI], [0.06, 0.66]; p = 0.019 for the 2nd quartile, β, 0.82; 95% CI, [0.51, 1.14]; p < 0.001 for the 3rd quartile, and β, 1.16; 95% CI, [0.83, 1.49]; p < 0.001 for the 4th quartile), whereas there were no apparent associations for prevalence of CKD. For non-LTPA, 4th quartile was associated with decreased eGFR (β, -0.42; 95% CI, [-0.72, -0.11]; p = 0.007) and higher prevalence of CKD prevalence (Prevalence ratio, 1.12; 95% CI, [1.02, 1.24]; p = 0.022). These associations with kidney function remained consistent in the subgroup analyses divided by demographic and biological variables.ConclusionsWe observed a positive association between higher LTPA levels and better kidney function, but not association with CKD prevalence. In contrast, higher non-LTPA was negatively associated with both kidney function and CKD prevalence. These findings suggest that promoting LTPA is beneficial for kidney function.

The association between different leisure-time physical activity patterns and the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio in adults: national health and nutrition examination survey 2007–2018

BackgroundDespite the potential superiority of the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) as a diagnostic and predictive marker, no study has investigated the link between different leisure-time physical activity (LTPA) patterns and the NHHR. This study aims to explore this relationship.MethodsData was extracted from the National Health and Nutrition Examination Survey (NHANES) cycles spanning from 2007 to 2008 to 2017–2018. Participants (N = 14,211) were classified into four groups based on their LTPA patterns: (1) inactive (LTPA = 0 min/week); (2) insufficiently active (LTPA < 150 min/week); (3) weekend warrior (LTPA ≥ 150 min/week within 1 or 2 sessions); and (4) regularly active (LTPA ≥ 150 min/week in more than 2 sessions). Weighted multiple linear regression analysis was employed twice, using inactive and regular active groups as reference groups, respectively. Weighted stratification analyses and interaction tests were performed by demographics.ResultsCompared to the inactive group, each additional unit of LTPA time was associated with a significant 0.23-unit greater decrease in the NHHR in the regularly active group [-0.23 (-0.29; -0.16)]. However, no significant decrease was observed in the “Weekend Warrior” [-0.11 (-0.22; 0.008)] or insufficiently active groups [-0.03 (-0.11; 0.04)]. Moreover, compared to the regularly active group, the insufficiently active [0.21 (0.13; 0.29)], “Weekend Warrior” [0.13 (0.004; 0.25)], and inactive [0.26 (0.20; 0.32)] groups had significantly higher NHHR. The associations between the NHHR and various LTPA patterns did not significantly differ by demographic factors, except for race.ConclusionThe regularly active pattern is significantly associated with a lower NHHR, but no significant difference in the NHHR was detected between the insufficiently active and “Weekend Warriors” patterns. The study suggests that frequency and regularity of PA are crucial for optimal lipid management, supporting clinical recommendations to meet or exceed 150 min of PA in more than two sessions per week.

Is there an association between psychological distress during early adulthood and later trajectories of physical activity during adulthood? Longitudinal data from two cohort studies

BackgroundOur aim was to analyse the prospective association between psychological distress during early adulthood and physical activity trajectories between early and middle adulthood.MethodsWe used data from the 1958 National Child...

Exploring Job-Related Factors and Exercise Intentions in Relation to Overall Physical Activity and Its Subdivisions.

This study examined the relationships between job-related factors and overall physical activity (PA), including its subdivisions: leisure-time PA, transportation PA, and work-related PA. Additionally, this study investigated the associations between exercise intentions and different types of PA. A cross-sectional design was employed, utilizing a questionnaire to collect data on participants' demographics, job-related characteristics, exercise intentions, and levels of PA. A total of 400 full-time workers voluntarily participated in this study. The findings identified women, white-collar workers, those with longer working hours, and individuals with low exercise intentions as high-risk groups for insufficient overall PA in multiple linear regression analysis. After controlling for covariates, occupation was found to be associated with both overall PA (β = 0.146) and work-related PA (β = 0.236). Shift workers exhibited higher levels of work-related PA (β = 0.234). Furthermore, exercise intentions showed associations with overall PA (β = 0.243), leisure-time PA (β = 0.523), and transportation PA (β = 0.176) but did not demonstrate a significant relationship with work-related PA. This study highlights the importance of implementing comprehensive approaches in workplace health promotion programs aimed at enhancing various types of PA. Strategies should focus on improving exercise intentions to boost leisure-time and transportation PA, while work-related PA requires tailored interventions based on job-specific factors.

Physical activity levels are positively related to progression-free survival and reduced adverse events in advanced ER+ breast cancer.

Increased levels of physical activity are associated with a reduction of breast cancer mortality, especially in postmenopausal women with positive hormone receptor status. So far, previous observational case-control and cohort studies have focused on associations between overall leisure time physical activity and survival of women with breast cancer in general. In this multicenter prospective cohort study, conducted in Germany between 30th August 2012 to 29th December 2017, we investigated general physical activity in a homogenous sample of n = 1440 postmenopausal women with advanced (inoperable locally advanced or metastatic), hormone receptor-positive breast cancer receiving the same therapy (everolimus and exemestane). Self-reported physical activity was assessed using the Godin Leisure Time Exercise Questionnaire (GLTEQ) before and every 3months during treatment. Participants were then classified into "active" and "insufficiently active" to screen their activity behavior the week prior to medical treatment. In addition, changes in physical activity patterns were assessed. Adjusted Cox regression analyses were performed for the activity categories to determine hazard ratios (HR). Besides progression-free survival (PFS), adverse events (AEs), QoL, and fatigue were assessed every 3months until study termination. Compared to "insufficiently active" patients, "active" individuals indicated a significantly longer PFS (HR: 0.84 [0.74; 0.984], p = .0295). No significant differences were observed for changes of physical activity behavior. Patients who reported to be "active" at baseline revealed significantly fewer AEs compared to "insufficiently" active patients. In detail, both severe and non-severe AEs occurred less frequently in the "active" patients group. In line with that, QoL and fatigue were better in physical "active" patients compared to their insufficient active counterparts at the last post-baseline assessment. Participants who remained or become active indicated less AEs, a higher QoL, and reduced fatigue levels. Physical activity behavior prior to medical treatment might have prognostic value in patients with advanced breast cancer in terms of extending the PFS. Moreover, physical activity before and during treatment may reduce treatment-related side effects and improve patients' QoL and fatigue. EUPAS9462. Registered 30th October 2012 "retrospectively registered."

The association of telomere length with body mass index and immunological factors differs according to physical activity practice among children and adolescents

BackgroundThis study aims to verify the relationship between screen and sleep time, body mass index (BMI) and immunological factors with telomere length according to leisure-time physical activity (PA) in children and adolescents.MethodsA cross-sectional study involving a sample of 476 schoolchildren of both sexes, aged seven to 17 years, from a community in southern Brazil. Behavioral variables (PA, sleep time, and screen time) were self-reported using a questionnaire. PA was classified as inactive and any PA (doing some physical activity). The associations of screen time, sleep time, BMI, and immunologic factors with telomere length were tested using multiple linear regression models, with the sample divided according to the schoolchildren’s leisure-time physical activity practices.ResultsAn inverse association between BMI and telomere length (β: -0.239; 95% CI: -0.468; -0.010) and a direct association of leukocytes (β: 0.151; 95% CI: 0.029; 0.278) and neutrophils (β: 0.131; 95% CI: 0.008; 0.254) with telomeres were found in the inactive students. No association was found between screen time and sleep time and telomeres. No association was found among students who engaged in any PA.ConclusionThe associations between telomeres, BMI, and immunologic factors were found only in inactive students. These results suggest that the association between BMI and immunological factors and telomere length may be influenced by physical activity.

Unlocking the secrets of change: ethnographic insights into older adults’ leisure time physical activity during COVID-19

ABSTRACT The COVID-19 pandemic brought about significant alterations in various aspects of society, yet its impact on the leisure time physical activity (LTPA) of older adults still needs to be explored. Existing research points to substantial transformations in recreational and sports environments due to the pandemic. This study aims to bridge this gap by conducting ethnographic fieldwork spanning 17 months, delving into how Iranian older adults adapted their LTPA during this crisis. Data were gathered through immersive field experiences, detailed field notes, and opportunistic interviews. The findings reveal two primary shifts in the LTPA of older adults: (1) Disruption of social interactions within physical activities and (2) Psychological uncertainty and perplexity. In response, older adults have employed two coping mechanisms to navigate these changes. This research underscores the importance of policymakers reevaluating their approaches and devising strategies to support the continuity of LTPA, especially in exceptional circumstances like the COVID-19 pandemic.

Effect of Outdoor Cycling, Virtual and Enhanced Reality Indoor Cycling on Heart Rate, Motivation, Enjoyment and Intention to Perform Green Exercise in Healthy Adults.

Background: Despite the benefits of physical activity (PA), Italy ranks low in leisure-time PA among European countries. Integrating virtual (VR)/enhanced (ER) reality with exercise equipment could boost PA engagement. Limited studies have explored how VR/ER-integrated cycling activity, compared to outdoor settings, influences PA among university students. Therefore, this study aimed to evaluate the acute effects of a brief cycling session outdoors and indoors on psychological and physiological outcomes, and secondly, investigate the potential of VR/ER-mediated nature experiences as a tool to promote green exercise. Methods: In February 2024, thirty-one subjects (20 M and 11 F; age 24.3 ± 3.2 years; BMI 23.5 ± 3.6 kg/m2) were involved in this randomized crossover-controlled trial, where they were assigned to three different conditions: ER cycling (ERC), VR cycling (VRC), and outdoor cycling (OUTC). Heart rate (HR), Physical Activity Enjoyment (PACE), Intrinsic Motivation Inventory (IMI), and Intention to Perform Green Exercise (INT-GE) were assessed at the end of each condition. Results: The OUTC condition showed significantly greater PACE, IMI, and INT-GE than ERC/VRC (p < 0.001), lower HRmean than ERC/VRC (p < 0.001 and p < 0.05, respectively), and lower HRmax than ERC (p < 0.05). Conclusions: VRC and ERC enhanced engagement and physiological responses during indoor cycling, but outdoor cycling offered superior benefits in motivation, enjoyment, and future engagement intentions. No significant differences were found between VRC and ERC in promoting intentions for outdoor activities, suggesting both technologies could be equally effective.