Duration Of Physical Activity Research Articles

Comparison of a guided assessment and an app-based assessment of physical activity using the Global Physical Activity Questionnaire (GPAQ)

Introduction & Purpose The Global Physical Activity Questionnaire (GPAQ; Armstrong & Bull, 2006) is commonly used to assess frequency, duration and intensity of physical activity (PA) in three domains: work, travel and recreation. It is frequently used as a self-administered questionnaire; however, the execution was originally designed for an interviewer. With the continuous development of app-based technology, the evaluation of PA online-assessment is relevant (Mosa et al., 2012). The objective of the study was to compare an online self-administered version of the GPAQ with the original version administered by an interviewer. Methods The physical activity behaviour of 533 participants (70% female, average age 44, ± 13.9) from the LIFE-Tirol Study (Lasting Health through Intermittent Fasting, Emotional Firmness and Exercise) was assessed by an interviewer using the GPAQ. The interviewer used generic show cards for explaining different levels of exercise intensities as recommended in the analysis guidelines (Armstrong & Bull, 2006). After two months, participants were asked to fill in the GPAQ via online app without show cards. Participant were advised not to change their usual physical activity levels during the two months. The movement domains and intensities of the two versions were compared with Jamovi v2.3 using a series of Wilcoxon W-tests and a series of 2 × 2 mixed ANOVAs to analyse gender- and age-specific aspects. Results Total metabolic equivalent task (MET) minutes were significantly different between interview and self-assessed online version (1,971 ± 2,590 vs. 4,143 ± 4,370 MET minutes; p < .001, d = 0.670). Significantly more MET minutes were reported in the online version compared to the interview version across all three PA-domains and both vigorous and moderate intensities (F(1, 552) = 167, p < .001, ƞ² = .232). This difference was not influenced by gender. 18–34-year-old participants reported significantly less MET minutes during recreational PA than participants older than 55 years in both versions (F(1, 551) = 113, p < .001, ƞ²= .170). No further gender/age × assessment interaction effects were found. Male participants tend to report higher intensity minutes more likely than females in both assessment versions (F(1, 551) = 4.43, p = 0.360, ƞ²= .008). Discussion The amount of PA as well as its intensities seem to differ between the self-assessed online version compared to the interview assessment of the GPAQ, although the interview was conducted as the first measurement and PA as well as intensities were explained in detail to participants using generic show cards. It was previously reported that show cards have no significant impact on the results of the self-administered version of the GPAQ (Rudolf et al., 2020). Therefore, the authors suggest that the main differences between both assessments were caused by the presence of the interviewer independent of age or gender. Conclusion Regardless of the use of show cards and detailed explanations of PA, the main difference between guided and self-administered PA-assessments may result from the presence or absence of an interviewer. Therefore, it is important to interpret self-administered app-based GPAQ evaluations with caution. Future studies should validate app-based GPAQ data by using objective PA measurements, such as accelerometers.

WHO-recommended levels of physical activity in relation to mammographic breast density, mammographic tumor appearance, and mode of detection of breast cancer

BackgroundDespite known benefits of physical activity in reducing breast cancer risk, its impact on mammographic characteristics remain unclear and understudied. This study aimed to investigate associations between pre-diagnostic physical activity and mammographic features at breast cancer diagnosis, specifically mammographic breast density (MBD) and mammographic tumor appearance (MA), as well as mode of cancer detection (MoD).MethodsPhysical activity levels from study baseline (1991–1996) and mammographic information from the time of invasive breast cancer diagnosis (1991–2014) of 1116 women enrolled in the Malmö Diet and Cancer Study cohort were used. Duration and intensity of physical activity were assessed according to metabolic equivalent of task hours (MET-h) per week, or World Health Organization (WHO) guideline recommendations. MBD was dichotomized into low-moderate or high, MA into spiculated or non-spiculated tumors, and MoD into clinical or screening detection. Associations were investigated through logistic regression analyses providing odds ratios (OR) with 95% confidence intervals (CI) in crude and multivariable-adjusted models.ResultsIn total, 32% of participants had high MBD at diagnosis, 37% had non-spiculated MA and 50% had clinical MoD. Overall, no association between physical activity and MBD was found with increasing MET-h/week or when comparing women who exceeded WHO guidelines to those subceeding recommendations (ORadj 1.24, 95% CI 0.78–1.98). Likewise, no differences in MA or MoD were observed across categories of physical activity.ConclusionsNo associations were observed between pre-diagnostic physical activity and MBD, MA, or MoD at breast cancer diagnosis. While physical activity is an established breast cancer prevention strategy, it does not appear to modify mammographic characteristics or screening detection.

Lifestyle intervention improves cognition and quality of life in persons with early Multiple Sclerosis

BackgroundLifestyle changes have been demonstrated to impact pathophysiology in Multiple Sclerosis (MS). Various diet and exercise protocols have been reported to improve symptoms and function in persons with MS. Evidence is accumulating that interventions as early as possible in the disease course are warranted. The objective of this study was to investigate the effect of a remotely delivered lifestyle program focusing on specific diet and exercise recommendations in persons with early MS. MethodsMS patients, with disease diagnosis no more than 2 years prior, were recruited from the patient population of the MS clinic of the Pacific Neuroscience Institute. Participants followed recommendations for diet and exercise delivered via remote heath coaching. Each participant received 6 sessions with a health coach over a 12-week period. They were given parameters of a Mediterranean-type diet to follow, and specific and individualized recommendations about duration, intensity and type of exercise and physical activity. Outcome measures included Quality of Life (QOL), cognition (Symbol Digit Modalities Test, SDMT), fatigue (Multiple Sclerosis Fatigue Impact Scale, MFIS), fitness (estimated with Metabolic equivalents, METS) and other objective and patient reported outcomes (PRO). Changes in outcomes were analyzed using mixed effects general linear models and standardized pre-post differences.(Cohen's d) ResultsFifteen persons with early (≤ 2 years) MS enrolled in the study, 14 of whom completed the study. We observed significant improvements in QOL (p = 0.02), SDMT (p = 0.006), fatigue(p = 0.005), fitness (p = 0.04), and other PRO and objective metrics at the end of the protocol compared to baseline. Adherence and patient satisfaction measures were high. ConclusionsSpecific and individualized lifestyle recommendations can be effectively delivered remotely, and may produce improvement in symptoms and function in persons with early MS. Larger controlled trials of these interventions are warranted.

Nurturing attention through nature

BackgroundPrevious research suggests an association between exposure to nature and improved attention. However, no observational studies explored the underlying mechanisms or considered bluespace, and none used Polish data. We investigated the association between exposure to nature and attention, and whether it was mediated by nature perception, physical activity and sleep duration. MethodsData derived from the case-control NeuroSmog study comprised 195 participants with attention deficit hyperactivity disorder (ADHD) and 457 participants without ADHD, all aged 10 to 13. Attention was evaluated using the computerized attention network test and the continuous performance test. Lifelong and current exposure to nature, determined by percentage of grass and tree cover and water presence within 500m buffer around residences, as well as domestic garden, were examined through linear, log-linear and negative binomial regressions. Potential pathways were explored using structural equation modelling. ResultsParticipants with ADHD with higher exposure to tree cover tended to have improved orienting ability, shorter reaction time and fewer correct rejections, while participants without ADHD tended to show decreased alertness and improved orienting ability. Participants with ADHD with higher exposure to grass cover tended to have longer reaction time, decreased alertness, improved orienting ability, reduced target discrimination ability, fewer correct rejections and less risky response style, while participants without ADHD tended to show decreased orienting ability, more mistakes, longer reaction time, better hit rate and more risky response style. Participants without ADHD with water in their neighbourhood tended to have improved orienting ability, fewer mistakes and better hit rate. Participants without ADHD with a garden tended to show improved target discrimination ability, better hit rate and more risky response style. No mediating pathways were revealed. ConclusionTree cover and presence of garden and water tended to be associated with improved attention in Polish adolescents while grass tended to have negative impact.

Race, Ethnicity, and Geography as Determinants of Excessive Weight and Low Physical Activity in Pediatric Population: Protocol for Systematic Review and Meta-Analysis.

The rationale for the current study is the sparsity of data on the combined effect of the environmental and individual risks of obesity and sedentary lifestyle in children of different races/ethnicities from different regions. An effective weight management strategy is hard to design due to insufficient evidence. This work was initiated to study race, ethnicity, and geography as determinants of excessive weight and low physical activity in the pediatric population. To achieve this aim, we systematically review publications on daily length of physical activity of light, moderate, and vigorous intensity, as well as sedentary time and BMI and its dynamics in children of different races/ethnicities and geographies. The extracted data are stratified into six major geographic regions and six races/ethnicities. Then, a random-effects meta-analysis is used to calculate the pooled mean of each outcome measure. A ridge regression is constructed to explore age-related change in BMI. A Kruskal-Wallis H test is applied to compare the pooled duration of physical activity and sedentary time in the subgroups. Finally, we calculate paired correlation coefficients between BMI and physical activity/inactivity for each group. The findings can be further used in public health surveillance to clarify the epidemiology of obesity, to guide priority setting and planning, and to develop and evaluate public health policy and strategy.

Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review.

Monitoring free-living physical activity (PA) through wearable devices enables the real-time assessment of activity features associated with health outcomes and provision of treatment recommendations and adjustments. The conclusions of studies on PA and health depend crucially on reliable statistical analyses of digital data. Data analytics, however, are challenging due to the various metrics adopted for measuring PA, different aims of studies, and complex temporal variations within variables. The application, interpretation, and appropriateness of these analytical tools have yet to be summarized. This research aimed to review studies that used analytical methods for analyzing PA monitored by accelerometers. Specifically, this review addressed three questions: (1) What metrics are used to describe an individual's free-living daily PA? (2) What are the current analytical tools for analyzing PA data, particularly under the aims of classification, association with health outcomes, and prediction of health events? and (3) What challenges exist in the analyses, and what recommendations for future research are suggested regarding the use of statistical methods in various research tasks? This scoping review was conducted following an existing framework to map research studies by exploring the information about PA. Three databases, PubMed, IEEE Xplore, and the ACM Digital Library, were searched in February 2024 to identify related publications. Eligible articles were classification, association, or prediction studies involving human PA monitored through wearable accelerometers. After screening 1312 articles, 428 (32.62%) eligible studies were identified and categorized into at least 1 of the following 3 thematic categories: classification (75/428, 17.5%), association (342/428, 79.9%), and prediction (32/428, 7.5%). Most articles (414/428, 96.7%) derived PA variables from 3D acceleration, rather than 1D acceleration. All eligible articles (428/428, 100%) considered PA metrics represented in the time domain, while a small fraction (16/428, 3.7%) also considered PA metrics in the frequency domain. The number of studies evaluating the influence of PA on health conditions has increased greatly. Among the studies in our review, regression-type models were the most prevalent (373/428, 87.1%). The machine learning approach for classification research is also gaining popularity (32/75, 43%). In addition to summary statistics of PA, several recent studies used tools to incorporate PA trajectories and account for temporal patterns, including longitudinal data analysis with repeated PA measurements and functional data analysis with PA as a continuum for time-varying association (68/428, 15.9%). Summary metrics can quickly provide descriptions of the strength, frequency, and duration of individuals' overall PA. When the distribution and profile of PA need to be evaluated or detected, considering PA metrics as longitudinal or functional data can provide detailed information and improve the understanding of the role PA plays in health. Depending on the research goal, appropriate analytical tools can ensure the reliability of the scientific findings.

The impact of changes in physical activity on functional recovery for older inpatients in post-acute rehabilitation units.

The effect of increased physical activity duration on functional recovery in older inpatients in subacute settings is not well established. This study aimed to investigate the relationship between physical activity and functional recovery in older patients receiving post-acute and subacute care. We analyzed cohort data of hospitalized older patients (age ≥ 65years) in the post-acute rehabilitation units. The main outcome was functional independence measure (FIM) gain. Physical activity was measured using a triaxial accelerometer. Changes in sedentary behavior and total physical activity time from admission to discharge were measured as changes in each physical activity time. Logistic regression analysis was performed to examine the relationship between changes in physical activity and FIM gain. A total of 210 patients were eligible for analysis. The mean age of the study patients was 83.6 ± 7.2years, and 63.8% (n = 134) were female. According to the multivariate regression analysis, changes in sedentary behavior time were significantly associated with high recovery of FIM gain (odds ratio [OR] 0.996, 95% confidence interval [CI]: 0.993-1.000; p = 0.026), and changes in total physical activity time also showed a similar association (OR 1.006, 95% CI 1.000-1.011; p = 0.041). Decreased sedentary behavior time and increased total physical activity time were significantly associated with high functional recovery in post-acute rehabilitation units. These results suggest that interventions for physical activity duration may be effective in improving activities of daily living in older post-acute and subacute patients.

Educating adolescents on preventing substance use: The role of 24-h movement behaviors ─ data from 2021 Youth Risk Behavior Surveillance

BackgroundLittle is known about how adhering to the health guidelines for physical activity (PA), screen time (ST), and sleep duration (SD) relates to substance use in adolescents. Thus, this study aims to explore the potential association between adherence to the 24-h movement behavior (24-h MB) guidelines and substance use among adolescents. MethodsData from the 2019 Youth Risk Behavior Surveillance was analyzed. Participants reported their weekly PA, ST, SD, and substance use (alcohol and smoking) over the past 30 days. The mean age in the total participants was 15.56, and 48.03 % of the participants were females. Logistic regression was used in this study to explore the potential association between 24-h MB and substance use. Odds ratios (ORs) were reported alongside a 95 % confidence interval to enhance understanding of the observed association. ResultsOnly 2.22 % participants adhered to all three 24-h MB guidelines, while 47.99 % did not follow any guidelines. Notably, there was no significant difference in the odds of cigarette smoking between participants who followed none of the guidelines and those who followed some or all of them. Nevertheless, adherence to one or more guidelines was found to be associated with higher odds of abstaining from alcohol consumption compared to non-adherence (one guidelines: OR = 1.17 [1.08, 1.28], two guidelines: OR = 1.28 [1.13, 1.44]). ConclusionsAdhering to 24-h MB guidelines may reduce adolescents’ alcohol consumption, but the adherence was not significantly associated with smoking. Longitudinal studies are needed to confirm these findings. These results can inform adolescent health policies and interventions aimed at reducing substance use from the perspective of healthy time-use behaviors, which can be used for researchers and educator.

Joint Trajectories of Lifestyle Indicators and Their Associations with Blood Pressure among Chinese Middle School Students.

Lifestyle behaviors, defined as a combination of dietary behavior, physical activity (PA), screen time (ST), and sleep duration indicators, are strongly associated with blood pressure (BP) in students. Our aim was to characterize the joint trajectories of lifestyle behaviors among middle school students and evaluate their association with BP. Data were obtained from the monitoring dataset on common diseases and health factors among students in Jiading District, Shanghai, China, conducted from 2019 to 2023. Lifestyle behavior data were collected annually from middle school students aged 12-18 years through questionnaires covering dietary behavior score, PA, ST, and sleep duration. Students' BP was measured in 2023. Joint trajectories of lifestyle behaviors were determined using group-based multi-trajectory modeling. Associations between lifestyle trajectories and students' BP were examined using multiple linear regression and modified Poisson regression. A total of 1378 middle school students (759 [58.98%] boys, median age 14.36 years [IQR: 13·30-13.28]) with lifestyle behaviors data assessed at least three times were included, and they were categorized into four joint lifestyle trajectories as follows: "remain unhealthy with low PA and increasing ST" (n = 141, 10.46%), "remain unhealthy with only low PA" (n = 305, 22.63%), "change towards unhealthy with decreasing sleep duration" (n = 776, 57.57%), and "relatively healthy" (n = 126, 9.35%). After adjusting for important confounders, the "remain unhealthy with low PA and increasing ST" group was associated with higher diastolic BP (DBP) [β: 3.49, 95% CI: 0.55-6.44] and higher mean arterial pressure (MAP) [β: 3.19, 95% CI: 0.37-6.01] in students compared with the "relatively healthy" group. Additionally, compared with the "relatively healthy" group, students in the "remain unhealthy with low PA and increasing ST" group had a 1.12-fold increase in the risk of hypertension (risk ratios: 1.12, 95% CI: 1.03-1.24). All trend p values in DBP, MAP, and hypertension from the "relatively healthy" group to the "remain unhealthy with low PA and increasing ST" group were less than 0.05. Four distinct lifestyle trajectories were identified among middle school students. Students who remained in the "unhealthy with low PA and increasing ST" lifestyle trajectory were associated with later elevations in BP.

Possible determinants of physical fitness in Japanese school children: Across-sectional study.

Physical fitness is one of the most important health indicators in children. Although appropriate body composition or certain lifestyle factors such as frequent physical activity are thought to improve physical fitness, results of previous studies are inconsistent, and most studies were from Western countries. We investigated associations of body composition and modifiable lifestyle factors such as physical activity, screen time, diet and sleep duration with physical fitness in Japanese primary school children. 2308 children (age 10-12 years old) in 12 primary schools were analysed in this cross-sectional study. Physical fitness was evaluated by sports battery tests conducted routinely and annually at schools. The total score of sports battery tests, 20-m shuttle run (laps) and grip strength (kg) were selected as outcomes. Information about lifestyle factors was collected by two questionnaires. Associations between lifestyle factors and physical fitness were assessed by multivariable linear mixed models by sex. Frequent exercise was related to better overall physical fitness. Regarding the 20-m shuttle run, many unfavourable lifestyle factors such as higher BMI in boys (β -7.37, 95% confidence interval [CI] -8.39, -6.35) and girls (β -3.54, 95% CI -4.50,-2.58), longer screen time (β -4.31, 95% CI -7.29, -1.34) in boys and girls (β -5.65, 95% CI -9.01, -2.30); shortest (reference) versus longest, breakfast skipping in boys (β -5.24, 95% CI -8.71, -1.77) and girls (β -3.57, 95% CI -6.84, -0.30); consumers (reference) versus skippers were associated with worse performance. Better quality of diet was associated with better results in the 20-m shuttle run only in girls (β 2.58, 95% CI 0.24, 4.93); lowest (reference) versus highest. Frequent exercise was related to better physical fitness. Higher BMI and unfavourable lifestyle factors such as longer screen time and breakfast skipping were associated with worse results of the 20-m shuttle run.

Commentary on “Association of accelerometer-measured sleep duration and different intensities of physical activity with incident type 2 diabetes in a population-based cohort study”

Commentary on “Association of accelerometer-measured sleep duration and different intensities of physical activity with incident type 2 diabetes in a population-based cohort study”

Proportion, Correlates and the Associations of Meeting 24-h Movement Guidelines With Mental Well-Being and Psychological Distress: A Cross-Sectional Study of 10 589 Chinese Students.

The increased trends in psychological distress and mental illness have been of great significance in public health concerns. The study aimed to investigate the proportion and correlates of meeting 24-h movement guidelines (including moderate to vigorous physical activity, screen time and sleep duration) and the associations between 24-h movement guidelines met and mental well-being and psychological distress in a large sample of Chinese students. All participants received a physical examination and filled out questionnaires in this study. Chi-square tests were used to analyse the proportion of reaching 24-h guidelines by gender and logistic regression was used to analyse correlates of meeting 24-h guidelines. Two binary logistic regression models were used to analyse the association between meeting 24-h guidelines and mental well-being and psychological distress. The back-propagation artificial neural network was used to describe the importance of the independent variables. The findings revealed a generally low rate of meeting the 24-h movement guidelines, particularly concerning moderate to vigorous physical activity (16.5%). Meeting all three guidelines was related to better mental health in both boys and girls. Particularly, meeting screen time guideline and meeting sleep duration guideline appeared to be more important on mental outcomes, compared to meeting moderate to vigorous physical activity guideline. Compared with boys, girls were more susceptible to the influences of 24-h movement guidelines on mental health. Meeting all three components of the 24-h movement guidelines was associated with the most favourable mental health outcomes for both boys and girls. Thus, maintaining a daily balance of sufficient physical activity, limited screen time, and adequate sleep is crucial for enhancing the mental health status of students.

Comparing Cadence vs. Machine Learning Based Physical Activity Intensity Classifications: Variations in the Associations of Physical Activity With Mortality.

Step cadence-based and machine-learning (ML) methods have been used to classify physical activity (PA) intensity in health-related research. This study examined the association of intensity-specific PA duration with all-cause (ACM) and CVD mortality using the cadence-based and ML methods in 68 561 UK Biobank participants wearing wrist-worn accelerometers. The two-stage-ML method categorized activity type and then intensity. The one-level-cadence-method (1LC) derived intensity-specific duration using all detected steps (including standing utilitarian steps) and cadence thresholds of ≥100 steps/min (moderate intensity) and ≥130 steps/min (vigorous intensity). The two-level-cadence-method (2LC) detected ambulatory steps (i.e., walking and running) and then applied the same cadence thresholds. The 2LC exhibited the most pronounced association at the lower end of duration spectrum. For example, the 2LC showed the smallest minimum moderate-to-vigorous-PA (MVPA) duration (amount associated with 50% of optimal risk reduction) with similar corresponding ACM hazard ratio (HR) to other methods (2LC: 2.8 min/day [95%CI: 2.6, 2.8], HR: 0.83 [95% CI: 0.78, 0.88]; 1LC, 11.1[10.8, 11.4], 0.80 [0.76, 0.85]; ML, 14.9 [14.6, 15.2], 0.82 [0.76, 0.87]). The ML elicited the greatest mortality risk reduction. For example, the medians and corresponding HR in VPA-ACM association: 2LC, 2.0 min/day [95% CI: 2.0, 2.0], HR, 0.69 [95% CI: 0.61, 0.79]; 1LC, 6.9 [6.9, 7.0], 0.68 [0.60, 0.77]; ML, 3.2 [3.2, 3.2], 0.53 [0.44, 0.64]. After standardizing durations, the ML exhibited the most pronounced associations. For example, the standardized minimum durations in MPA-CVD mortality association were: 2LC, -0.77; 1LC, -0.85; ML, -0.94; with corresponding HR of 0.82 [0.72, 0.92], 0.79 [0.69, 0.90], and 0.77 [0.69, 0.85], respectively. The 2LC exhibited the most pronounced association with all-cause and CVD mortality at the lower end of the duration spectrum. The ML method provided the most pronounced association with all-cause and CVD mortality, thus might be appropriate for estimating health benefits of moderate and vigorous intensity PA in observational studies.

Associations of ambient air pollution and lifestyle with the risk of NAFLD: a population-based cohort study

BackgroundBoth ambient air pollution and lifestyle factors contribute to the incidence of non-alcoholic fatty liver disease (NAFLD), but previous studies usually focused on single-factor associations. We aimed to assess the joint associations of ambient air pollution and lifestyle with the NAFLD risk and investigate whether lifestyle modifies the association of air pollution with NAFLD risk.MethodsA total of 417,025 participants from the UK Biobank were included in this study. Annual average concentrations of NO2, NOx, PM2.5, PM10, and PM2.5−10 were estimated. A composite lifestyle score was determined based on physical activity, alcohol intake, smoking status, dietary patterns, sedentary time, and sleep duration. Cox proportional hazards regression models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs), as well as the population attributable fraction (PAF). Potential additive interactions of air pollution with lifestyle were also examined by the relative excess risk due to the interaction (RERI) and the attributable proportion due to the interaction (AP).Results4752 (1.14%) incident NAFLD events were recorded. Long-term exposure to air pollutants and an unhealthy lifestyle were significantly associated with the increased risk of incident NAFLD. Lifestyle was the primary factor of incident NAFLD, with a PAF of 37.18% (95% CI: 29.67%, 44.69%). In addition, a significant additive interaction between air pollution and lifestyle for NAFLD risk was observed (RERI: 0.36, 95% CI: 0.09–0.63).ConclusionsLong-term exposure to ambient air pollutants and poor lifestyle were jointly associated with a higher risk of NAFLD.

Hubungan Konsumsi Fast Food, Aktivitas Fisik dan Durasi Tidur dengan Kejadian Obesitas pada Siswa di SMK Bina Am Ma’mur

ABSTRACT Obesity is a global health problem caused by a lifestyle that includes inappropriate diet and physical activity levels. The purpose of this study was to determine the relationship between fast food consumption, physical activity and sleep duration with the incidence of obesity in students at Bina Am Ma'mur Vocational School in 2021. This study is a quantitative study using a cross sectional design. The results showed that there was a relationship between fast food consumption (P=0.000) and sleep duration (P=0.004) with the incidence of obesity in students at Bina Am Ma'mur Vocational School. It is recommended for schools to make promotive and preventive efforts, such as conducting counseling at school about the importance of choosing healthy foods, and others. Keywords: Obesity, Diet, Lifesyle, Students

Phase angle measured by bioelectrical impedance analysis in patients with chronic obstructive pulmonary disease: Associations with physical inactivity and frailty

BackgroundFactors associated with early-stage frailty (pre-frailty) in patients with chronic obstructive pulmonary disease (COPD) remain unestablished. In addition to skeletal muscle quantity, skeletal muscle dysfunction can be estimated using an angular metric from bioelectrical impedance analyzer (BIA), termed the phase angle, that reflects cell membrane reactance representing the structural stability. This study examined whether the phase angle was more closely associated with pre-frailty compared with skeletal muscle quantity in patients with COPD. MethodsThis cross-sectional analysis included stable smokers with and without COPD whose frailty status was assessed using the Japanese version of the Cardiovascular Health Study criteria. The phase angle and skeletal muscle index (SMI) were measured using BIA, and physical activity over one week was assessed using triaxial accelerometers. ResultsA total of 159 patients were categorized into robust, pre-frail, and frail groups (n = 38, 92, and 29, respectively). The phase angle was significantly smaller in the pre-frail and frail groups than in the robust group after adjusting for age, sex, height, body mass index, smoking history, and lung function. In contrast, SMI did not differ between the robust and pre-frail groups. When combining the pre-frail and frail groups into a non-robust group, 4.8° was determined as the cutoff phase angle value to identify non-robust status. A phase angle <4.8° was associated with shorter durations of moderate-intensity physical activity but not with light physical activity. ConclusionsA smaller phase angle was associated with pre-frailty and impaired moderate-intensity physical activity in smokers with and without COPD.

Associations between sugar-sweetened beverages consumption, duration of physical exercise, and depressive symptoms among Tibetan university students at high altitude.

Depressive symptoms have become a public health issue of common concern in countries all over the world, and have many negative impacts on university students' study and life. Depressive symptoms are influenced by many factors, including sugar-sweetened beverages (SSBs) consumption and duration of physical activity. However, no study has been conducted on the association between sugar-sweetened beverage consumption, duration of physical exercise, and depressive symptoms among Tibetan university students at high altitudes. In this study, a self-assessment survey of SSBs consumption, duration of physical exercise, and depressive symptoms was conducted on 6,259 (2,745 boys, 43.86%) Tibetan university students aged 19-22 years in Lhasa and Ganzi areas, China, using stratified whole population sampling. The associations were also analyzed using one-way analysis of variance, binary logistic regression analysis, and ordered logistic regression analysis in the generalised linear model. The proportions of mild depression symptoms, moderate depression symptoms, and major depressive symptoms among Tibetan boys university students in high-altitude areas of China were 18.0, 22.9, and 1.5%, respectively; the proportions of girls students were 20.1, 21.9, and 1.5%, respectively, 1.5%, and the differences in the detection rates of depressive symptoms between sex were statistically significant (χ 2 value = 14.253, p < 0.01). Ordered logistic regression analyses showed that using duration of physical exercise >60 min/d and SSBs ≤1 times/week as the reference group, the duration of physical exercise <30 min/d and SSBs ≥5 times/week groups had the highest risk of developing depressive symptoms was the highest risk (OR = 6.98, 95% CI: 5.05-9.65; p < 0.001). This study confirmed that there was a positive association between SSBs consumption and depressive symptoms and a negative association between the duration of physical exercise and depressive symptoms among Tibetan university students at high altitudes in China. In the future, SSBs consumption should be effectively controlled and the duration of physical exercise should be increased to reduce the occurrence of depressive symptoms and promote the physical and mental health of Tibetan university students in high-altitude areas.

Association of Lifestyle Behaviors with Quality of Life in Patients with COPD: A Cross-Sectional Study in Primary Care.

Background/Objectives: The association between healthy lifestyle behaviors and their effect on quality of life among patients with COPD remains unclear. Therefore, the aim of this study was to explore the lifestyle behaviors and their association with the disease-specific quality of life among a primary care population with COPD in Greece. Methods: This cross-sectional study included 236 participants aged 40 years and older from the COCARE COPD study. The healthy lifestyle index (HLI) was created based on smoking, alcohol consumption, BMI, physical activity, and sleep duration, with each factor categorized as either healthy (1) or unhealthy (0). The HLI ranged from 0 (least healthy) to 5 (healthiest). COPD-specific quality of life was assessed using the COPD assessment test (CAT), where higher scores indicate poorer health status. Multiple logistic regression was used to analyze the association between HLI and CAT scores, adjusting for confounders. Results: Half of the participants were non-smokers or former smokers, while 92% reported consuming low levels of alcohol (less than 14 units per week). Additionally, 56% had a BMI below 30, indicating they were not obese. Surprisingly, only 32% engaged in regular exercise, with at least 150 min per week, and only 25% reported getting adequate sleep, ranging from 7 to 9 h per night. Importantly, poorer health status was inversely associated with non/former smoking (OR: 0.543, 95% CI: 0.282-1.049), physical activity (OR: 0.238, 95% CI: 0.122-0.463), and adequate sleep (OR: 0.337, 95% CI: 0.160-0.710). Patients with higher HLI scores were less likely to have poor health status. Conclusions: In conclusion, our findings indicate that a significant proportion of patients with COPD failed to adhere to a minimum of three out of five healthy behaviors. Additionally, a higher number of healthy lifestyle factors defined by a high HLI score were independently associated with a better disease-specific quality of life. This is particularly important for COPD where quality of life is in the epicenter of management. Therefore, healthcare providers could significantly improve the management of COPD and patient outcomes by targeting and improving these lifestyle behaviors with targeted and holistic intervention strategies.

MANFAAT AKTIVITAS FISIK UNTUK WELL BEING LANJUT USIA: LITERATURE REVIEW

Background: Decreased fitness in the elderly has an impact that covers various aspects of health, including physical, mental and emotional. A decrease in the degree of fitness will lead to a decrease in physical condition that can limit daily activities in the elderly. Objectives: This study focuses on physical activities that affect the wellbeing of the elderly such as the type, intensity, and duration of physical activity. Methods: Using Scoping Review as a guideline. Studies were collected by systematically searching the Google Scholar database, NCBI, Sciencedirect and so on covering publications from 2014-2024. Results: Of the 93,806 articles identified, 15 articles were selected according to the inclusion criteria regarding the benefits of physical activity for wellbeing in the elderly and indicated the type, intensity and duration of physical activity. Conclusions: Based on the review of the 15 articles studied, it was found that the benefits of structured exercise at the level of physical activity, especially moderate intensity physical exercise, is a safe and effective way to improve fitness in the elderly.

The Impact of Carbohydrate, Protein, and Combined Carbohydrate-Protein Supplementation on Muscle Damage and Oxidative Stress Markers During Prolonged Cycling Performance in the Heat

Background: The impact of oxidative stress (OS) on exercise performance and recovery depends on the mode, intensity, and duration of physical activity, which can lead to inflammation, fatigue, and muscle dysfunction. The effects of carbohydrate (CHO) and protein (PRO) supplementation, as well as their combination (CHO-PRO), on exercise performance remain controversial, particularly under normal and hot environmental conditions. Objectives: The present study examined the influence of locally based isocaloric carbohydrate (CHO) and protein (PRO) supplements on muscle damage and oxidative stress (OS) biomarkers during cycling in the heat (31°C, 70% relative humidity), compared to a placebo (PL). Methods: Sago (Sa), Soy (So), and Sago+Soy (SS) were used as the carbohydrate (CHO), protein (PRO), and CHO-PRO supplements, respectively. The Sa, So, and SS supplements contained 7.5% Sa, 7.5% So, and 6.0% Sa+1.5% So, respectively. Twelve well-trained male cyclists (age: 19.0 ± 5.6 years, height: 170.8 ± 7.6 cm, body weight: 60.1 ± 11.2 kg, and VO2max: 56.5 ± 6.5 mL·kg⁻¹·min⁻¹) participated in four experimental trials. Each trial involved 90 minutes of steady-state cycling on an ergometer at 60% VO2max, followed by a 20-km exhaustive cycling time-trial performance. During the steady-state cycling, participants received supplements five times at 0, 20, 40, 60, and 80 minutes. Results: Plasma concentrations of creatine kinase and F2-isoprostanes, which are biomarkers of muscle damage and oxidative stress (OS), significantly decreased after the trials (P &lt; 0.05). The reduction in these biomarkers in the placebo group indicated that Sa, So, and SS supplementation did not provide additional benefits, as the placebo exhibited similar effects. Conclusions: In conclusion, despite the unexpected results, endurance athletes exercising in hot and humid conditions may potentially reduce symptoms of muscle damage and oxidative stress by consuming greater amounts of carbohydrate and protein supplements.