Journal of activity, sedentary and sleep behaviors最新文献

{"title":"Unraveling the relationship between sleep behaviors and physical activity in the United States: insights from 2015 to 2020 NHANES data.","authors":"Deepali K Ernest, Bipin Singh, Fathimath Shamna, Elizabeth A Onugha, Shreela V Sharma","doi":"10.1186/s44167-024-00070-8","DOIUrl":"https://doi.org/10.1186/s44167-024-00070-8","url":null,"abstract":"<p><strong>Background: </strong>Physical activity is an important component of metabolic health. However, little is known about the impact of specific types/intensities of physical activity on sleep health, especially among ethnically diverse populations. We examined the association of various sleep behaviors with moderate to vigorous work/recreational activity.</p><p><strong>Methods: </strong>Self-reported data from the National Health and Nutrition Examination Survey 2015-2020 were cross-sectionally analyzed for a sample of 11,039 participants in the United States (U.S.). Weighted univariate logistic regressions determined unadjusted associations, while weighted multivariable regression models adjusting for age, sex, ethnicity, BMI categories, and socio-economic status assessed the multivariable associations with moderate and vigorous work/recreational activity. Stratified analyses were performed to determine across-group differences by ethnicity and BMI categories.</p><p><strong>Results: </strong>Of 11,039 adults (mean age 41 years), 50.7% were female, 59.8% were Non-Hispanic White, 17.8% Hispanic/Latino, 12% Non-Hispanic Black, 6.3% Non-Hispanic Asian, and 4.1% other/multiple ethnicities. Moderate work activity increased the odds of short sleep duration [aOR = 1.42; 95% CI: 1.22, 1.65], snoring [aOR = 1.45; 95% CI: 1.21, 1.73], breath cessation [aOR = 1.37; 95% CI: 1.18, 1.59], and daytime sleepiness [aOR = 1.63; 95% CI: 1.39, 1.91]. Vigorous recreational activity reduced the odds of short sleep duration [aOR = 0.81; 95% CI: 0.71, 0.94] and trouble sleeping [aOR = 0.83; 95% CI: 0.73, 0.96]. Stratified analyses indicated significant ethnicity-based differences in the odds of sleep behaviors across physical activity groups and increased odds of poor sleep behaviors among participants who were underweight, overweight or had obesity.</p><p><strong>Conclusion: </strong>Work-related activity was significantly associated with suboptimal sleep behaviors while recreational activity was associated with favorable sleep behaviors. These associations were more pronounced among certain ethnic groups. Further longitudinal investigation is needed to examine the mechanism driving the relationship between sleep behaviors and physical activity.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"31"},"PeriodicalIF":0.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960219/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144065271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of flexible learning spaces, active breaks, and active lessons on sedentary behaviors, physical activity, learning, and musculoskeletal health in school-aged children: a scoping review.","authors":"David Larose, Carole-Lynn Massie, Alix St-Aubin, Valérie Boulay-Pelletier, Elyse Boulanger, Marie Denise Lavoie, Jennifer Yessis, Angelo Tremblay, Vicky Drapeau","doi":"10.1186/s44167-024-00068-2","DOIUrl":"https://doi.org/10.1186/s44167-024-00068-2","url":null,"abstract":"<p><strong>Background: </strong>Children aged 6 to 17 spend long periods of sitting at school. Reducing these behaviors and increasing physical activity has been linked to improvements in cognitive functions and decreased musculoskeletal issues. The purpose of this scoping review was to describe interventions implementing flexible learning spaces, active breaks, and active lessons and their effects on sedentary behaviors as well as on physical activity, learning, and musculoskeletal health.</p><p><strong>Methods: </strong>A search on databases (EDUCATION SOURCE, ERIC, SPORTDISCUS, MEDLINE, EMBASE, and WEB OF SCIENCE) was carried out in April 2021 and updated in June 2022 according to the guidelines of the \"PRISMA-ScR\". Studies on flexible learning spaces and physical activity in elementary and secondary school classes were retained. These also had to measure the effects of the interventions on sedentary behaviors, physical activity, learning (e.g., academic achievement), and musculoskeletal health outcomes.</p><p><strong>Results: </strong>Ninety-two articles were identified; twenty-four from the initial screening, thirty-two from the update, and thirty-six were manually included. Among these 92 articles, twenty-one studies used only flexible learning spaces, twenty-three used only active breaks, thirty-six used only active lessons, four used both flexible learning spaces and active breaks separately in different classes, five combined active breaks and active lessons, and three combined flexible learning spaces and active breaks. Analyses show positive changes in sedentary behaviors (32 articles/40) and physical activity (52 articles/74) including sitting time, sit-to-stand transitions, number of steps, and moderate-to-vigorous physical activity. Positive effects were also observed on learning (13 articles/26) or musculoskeletal health outcomes (3 articles/8). Although many studies found no effect of these interventions, no studies report harmful interventions on these variables. The most effective strategy to reduce sedentary behaviors seems to be flexible learning spaces with adapted teaching approaches.</p><p><strong>Conclusions: </strong>Results indicate that flexible learning spaces, active breaks, and active lessons effectively reduce sedentary behaviors and increase physical activity without negatively influencing academic achievement. Further studies are needed to understand better the effects of combining these interventions and their effects on children's learning and musculoskeletal health outcomes.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"30"},"PeriodicalIF":0.0,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960325/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144043394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correlations between the Japanese version of the Global Physical Activity Questionnaire and accelerometer-measured physical activity and sedentary time in adult women and men.","authors":"Chiaki Tanaka, John J Reilly, Shigeho Tanaka","doi":"10.1186/s44167-024-00069-1","DOIUrl":"https://doi.org/10.1186/s44167-024-00069-1","url":null,"abstract":"<p><strong>Background: </strong>Physical activity (PA) and sedentary behaviour have important health implications. Self-reported measures of PA and sitting time (ST) such as questionnaires are most commonly used in public health studies and surveillance, but their accuracy might be affected by cultural differences between countries. The aim of the present study was to examine the correlation between the self-administered Global PA Questionnaire - Japanese version (GPAQ-J) and accelerometer in Japanese adults.</p><p><strong>Methods: </strong>A cross-sectional comparative study was conducted to examine the last 7 days PA by GPAQ-J, comparing with accelerometer data. A convenience sample of 181 women and 85 men were included.</p><p><strong>Results: </strong>Significant positive correlations using Spearman's rank correlation were observed between total moderate-to-vigorous PA (MVPA) by GPAQ-J and both of accelerometer-measured total MVPA and 10-minute bouts of MVPA in both women and men, with a higher correlation in men (total MVPA: ρ = 0.375, 10-minute bouts of MVPA: ρ = 0.419). GPAQ-J transportation MVPA was significantly correlated with all types of variables for accelerometer-measured MVPA for men, particularly with ambulatory MVPA (ρ = 0.615). On the other hand, for women, a significant positive correlation was observed between GPAQ-J recreation MVPA and accelerometer-measured 10-minute bouts of MVPA. Average MVPA with GPAQ-J was between the accelerometer-measured total MVPA and the 10 min bouts of MVPA in both genders. A significant positive correlation was only observed between ST by accelerometer and the GPAQ-J question in men (ρ = 0.332), not women (ρ = 0.004).</p><p><strong>Conclusions: </strong>The GPAQ-J has weak or moderate validity for evaluating both total and 10-minute bouts of MVPA in Japanese women and men. ST by the GPAQ-J has moderate validity only in men.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"29"},"PeriodicalIF":0.0,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960350/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144029586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of a movement and music programme on activity, sedentary, and sleep behaviours and motor and musical skills in young children: protocol for the MoviMusi cluster randomised controlled trial.","authors":"María Del Mar Bernabé-Villodre, Vladimir Essau Martínez-Bello, Herminia Vega-Perona, José Díaz-Barahona, Yolanda Cabrera García-Ochoa, Sandra Molines-Borrás, Felipe Gértrudix-Barrio, Juan Carlos Montoya-Rubio, María Ángeles Fernández-Vilar, José Manuel Azorín-Delegido, Nataliya Filenko, Ángela Martínez-Rojas, Daniel Adyro Martínez-Bello","doi":"10.1186/s44167-024-00065-5","DOIUrl":"https://doi.org/10.1186/s44167-024-00065-5","url":null,"abstract":"<p><p>The early childhood education and care (ECEC) environment is an important setting for providing children with daily opportunities for movement and music, supporting holistic child development in the early years. To date, there are no studies evaluating the implementation of a holistic programme in the ECEC context in the areas of movement behaviour and motor and musical skills. The main aim is to examine the effectiveness of a holistic movement and music programme on physical activity (PA), sedentary behaviour and sleep, motor skills and musical skills in young children (1-3 years). The secondary aims are to examine the impact of the movement and music programme on the perceptions of the educational community, as well as the barriers and facilitators they perceive in the process of baseline assessment, construction, and implementation of the movement and music programme in their own ECEC community. This cluster-randomised controlled trial (intervention and control groups) with public ECEC centres will be performed over a 24-month period. Baseline measurements will be taken in the first year of the project, and assessments to examine the effectiveness of the programme will take place 12 months after the baseline assessment. For young children the main outcome variables will be: (a) PA, sedentary time, and sleep time; (b) gross and fine motor skills; and (c) musical skills. The secondary outcomes will be: (a) PA and sedentary time during outdoor play and structured PA sessions; (b) play patterns during outdoor free play; and (c) movement and music behaviours after ECEC hours. For families, secondary outcomes will be: (a) perceived barriers and facilitators to PA in young children; (b) perceived barriers and facilitators to the inclusion of music at home; and (c) the means of transport to ECEC settings and barriers to active commuting. For ECEC educators, the secondary will be: (a) perceived barriers and facilitators for the inclusion of movement and music as curricular practices in the ECEC institution; (b) perceived impact of the implementation of the movement and music programme. This research project aims to fill a knowledge gap during a period of childhood that has rarely been explored, either nationally or internationally (1-3 years), and to position movement and music teaching practices as key contexts in the curriculum development of infant and toddler education.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"28"},"PeriodicalIF":0.0,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960225/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of sedentary behavior and physical activity in leisure and work on sleep duration: data from NHANES 2017-2018.","authors":"Luciene Teixeira Paixão, Layana Amaral Neves, Luiz Antônio Alves de Menezes-Júnior","doi":"10.1186/s44167-024-00067-3","DOIUrl":"https://doi.org/10.1186/s44167-024-00067-3","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the association between sedentary behavior (SB), moderate to vigorous physical activity (MVPA), and sleep duration.</p><p><strong>Methods: </strong>Data from the 2017-2018 National Health and Nutrition Examination Survey (NHANES) was analyzed. SB was assessed based on the average daily sitting time, while MVPA was estimated by the frequency and duration of leisure and work-related activities. The ratio of time spent in MVPA to time in SB was analyzed, and a thresholds of ≥ 1.0, 2.5 and 10 min of MVPA per sedentary hour was used to determine sufficiency for mitigating the effects of a sedentary lifestyle. Sleep duration was measured by the average hours slept on weekdays and weekends, classified according to National Sleep Foundation guidelines. The measures of SB, MVPA, and sleep were self-reported. Descriptive statistics were used to characterize the sample, and multivariate logistic regression was applied to assess the associations between movement behaviors and sleep duration.</p><p><strong>Results: </strong>The study included 5,533 participants, with 51.8% women, predominantly aged 26-64 years (66.1%). Insufficient physical activity was reported by 59.6% at work and 62.5% during leisure time. Recommended sleep duration was observed in 84.4% of the sample. Adjusted multivariate analysis revealed that individuals engaging in ≥ 2.5 min of MVPA during leisure-time for each sedentary hour were 38.9% less likely to experience short-term sleep (OR:0.72;95%CI:0.53-0.97). Conversely, those who performed the same amount of MVPA at work were 57.0% more likely to have short-term sleep (OR:1.57;95%CI:1.16-2.12).</p><p><strong>Conclusion: </strong>Meeting the MVPA threshold during leisure-time reduces the likelihood of short-term sleep, while higher MVPA levels at work increase the likelihood of short-term sleep.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"26"},"PeriodicalIF":0.0,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960322/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144045484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility of ecological momentary assessment in measuring physical activity and sedentary behaviour in shift and non-shift workers.","authors":"Malebogo Monnaatsie, Stuart J H Biddle, Tracy Kolbe-Alexander","doi":"10.1186/s44167-024-00063-7","DOIUrl":"https://doi.org/10.1186/s44167-024-00063-7","url":null,"abstract":"<p><strong>Background: </strong>Previous studies assessing shift workers' behaviours have mainly used self-report recall questionnaires, however these measures don't always account for variations in work schedules. Alternative methods that allow for real-time assessments tailored to capture variations in work patterns might provide more accurate measures of physical activity (PA) and sedentary behaviour (SB). Therefore, the aim of this study was to evaluate the feasibility of Ecological Momentary Assessment (EMA), which provides real-time evaluations of PA and SB in shift workers. A secondary aim was to compare shift workers and non-shift worker responses.</p><p><strong>Methods: </strong>Participants (n = 120; 58% female, mean M_age=36.0), included 69 shift workers and 51 non-shift workers. After downloading the EMA app, shift workers received either interval-contingent tailored (SW-T) or standardized EMA prompts (SW-S) over 7-10 days, while non-shift workers received standardized prompts (NSW-S) for seven days. Prompts were scheduled five times daily, every three hours. The EMA survey asked participants to report their current activity, including type, duration, and location of physical activity and sitting. Feasibility was assessed by analysing recruitment, retention, and compliance rates (EMA surveys completed) across SW-T, SW-S, and NSW-S groups.</p><p><strong>Results: </strong>Approximately 78% of invited workers enrolled, and all enrolled workers completed at least one prompt on 4 out 7 days in the NSW-S and 7 out of 10 days in the SW group. Workers who chose not to participate reported unwillingness to travel for meetings (n = 14), while others did not respond (n = 20). Participants completed an average of 24 surveys per day, each one taking less than 30 s to complete. Overall, 64% of EMA surveys were started and completed. SW-S completed the least prompts (57%), while SW-T and NSW-S completed 64% and 68%, respectively (p = 0.90). On average, workers missed 36% EMA surveys which was similar for SW and NSW (p = 0.05).</p><p><strong>Conclusion: </strong>Our study represents one of the few studies that has used EMA in the shift work population with adaptation to shift schedules. The findings showed a modest compliance to EMA. Strategies are needed to enhance compliance rates. However, EMA shows promise for capturing real-time behaviours in shift workers' natural work environments.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"24"},"PeriodicalIF":0.0,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960382/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143993897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Speak for yourself: usability and acceptability of audio diaries to explore physical activity, sedentary and sleep behaviours of those living with severe mental illness.","authors":"Ilaria Pina, Philip Hodgson, Kirstie Anderson, Emily J Oliver","doi":"10.1186/s44167-024-00058-4","DOIUrl":"https://doi.org/10.1186/s44167-024-00058-4","url":null,"abstract":"<p><strong>Background: </strong>People living with severe mental illness (SMI) face significant health inequalities, including reduced quality of life and life expectancy. Evidence has shown that people living with SMI are highly sedentary, face challenges when seeking to engage in physical activity (PA), and experience sleep difficulties. Motivation, mood and energy have been identified as critical determinants of these behaviours. PA and sleep are traditionally measured in isolation using quantitative approaches, limiting our understanding of the contexts and interactive ways in which these occur, especially for this population. Here, we adopted a flexible and holistic approach, using audio diaries to explore the usability and acceptability of capturing movement behaviours in people living with SMI.</p><p><strong>Methods: </strong>This study employed a qualitative design. Data were collected with 10 participants self-identifying as living with SMI, who completed 7-days of audio diaries, pre and post diary use interviews. Reflexive thematic analysis was used to analyse participants' movement behaviours and their experiences of using the audio diaries.</p><p><strong>Results: </strong>Audio diaries were perceived as acceptable to participants and their use for data capture was feasible, with participants experiencing their use as a flexible and empowering method of data capture. Within the exploratory data generated we identified four themes relating to participants' movement behaviours: finding themselves in a \"vicious circle\" with physical and mental issues impacting movement behaviours; a daily internal fight and dialogue concerning fear of feeling guilty and wasting time; a determination to \"not let fatigue win\" by pushing through the day; and the mixed effects of understanding the importance of movement behaviours yet finding it challenging to engage.</p><p><strong>Conclusion: </strong>Audio diaries offered an easy to use and relatively inclusive means of exploring movement behaviours for people living with SMI, especially their context and interrelated nature. Our findings reinforced the well-established link between mental and physical health, and their influence on 24 h movement behaviours, identifying population-specific challenges derived from medication side effects, rigid engagement opportunities, and illness symptoms. Given this, co-production involving individuals with lived experience is crucial for developing tailored recommendations and support to promote sleep and movement among those living with SMI. We emphasized the need for holistic measurement approaches and opportunities that consider the interconnected impact of disrupted sleep and movement.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"21"},"PeriodicalIF":0.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960249/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144030632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adherence to the WHO physical activity, screen time and sleep guidelines and associations with socio-demographic factors among Ethiopian preschool children: The SUNRISE study.","authors":"Chalchisa Abdeta, Dylan Cliff, Katharina Kariippanon, Alem Deksisa, Sileshi Garoma, Debrework Tesfaye, Kar Hau Chong, Devan Antczak, Anthony D Okely","doi":"10.1186/s44167-024-00060-w","DOIUrl":"https://doi.org/10.1186/s44167-024-00060-w","url":null,"abstract":"<p><strong>Background: </strong>The World Health Organisation (WHO) has called for more evidence on 24-hour movement behaviours from low- and middle-income countries. We examined the proportion of Ethiopian children aged 3.0-4.9 years who met the WHO guidelines on physical activity, screen time and sleep for children under the age of five, and the associations between meeting the guidelines and socio-demographic factors.</p><p><strong>Methods: </strong>A cross-sectional study was conducted in Adama and Lume district, Ethiopia. Children were recruited through kindergartens in Adama city and rural villages of Lume district, Ethiopia. Physical activity and sleep were measured using ActiGraph accelerometer. Screen time and restrained sitting were parent-reported. Multivariable logistic regression models tested associations between meeting the individual and combined WHO guidelines and socio-demographic factors.</p><p><strong>Results: </strong>A total of 430 children participated in the study (mean age 4.2 ± 0.6 years). More than half the children (58.0%) met all the WHO guidelines. A higher proportion met the physical activity (96.1%) and sleep guidelines (91.9%) compared to the screen time guideline (63.5%). Children who lived in rural areas were more likely to meet the screen time (84.6% vs. 38.2%, AOR = 7.31; 95%CI: 3.93, 14.02), sleep (98.6% vs. 83.8%, AOR = 8.60; 95%CI: 3.55, 23.73) and combined (81.3% vs. 30.1%, AOR = 7.41; 95%CI: 4.04, 13.97) guidelines than those who lived in urban areas.</p><p><strong>Conclusions: </strong>Children from rural Ethiopia were more compliant with the WHO guidelines than their urban counterparts. Strategies to reduce screen time and promote healthy movement behaviours in urban areas are needed. Further studies with a larger representative sample might provide better insight across the regions within the country.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"22"},"PeriodicalIF":0.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960389/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Igbo version of the Global Physical Activity Questionnaire (GPAQ)- A cross-cultural adaptation study.","authors":"Ifeoma Uchenna Onwuakagba, Sochima Johnmark Obiekwe, Emmanuel Chiebuka Okoye, Favour Chidera Kanu, Ifeoma Adaigwe Amaechi, Christopher Olusanjo Akosile","doi":"10.1186/s44167-024-00061-9","DOIUrl":"https://doi.org/10.1186/s44167-024-00061-9","url":null,"abstract":"<p><strong>Background: </strong>Physical activity (PA) plays a critical role in preventing non-communicable diseases, and maintaining the overall health and well-being of adults. PA surveillance has become a global concern leading to the development of numerous surveys for its measurement. Global Physical Activity Questionnaire (GPAQ) merges the advantages of both the short and long versions of the International Physical Activity Questionnaire (IPAQ) by incorporating various domains (work, transport, and leisure time), while still maintaining a significantly shorter length. This study aimed to cross-culturally adapt the original English version of GPAQ to the Igbo culture and environment.</p><p><strong>Methods: </strong>The original version of GPAQ (GPAQ) was translated, synthesized, back-translated, and subjected to expert panel review before producing the final Igbo version of the GPAQ (GPAQ-I). The GPAQ and GPAQ-I were administered to 155 community-dwelling adults (36.1% males and 63.9% females) living in Nnewi who were recruited consecutively. The data obtained was analyzed using frequency counts, percentages, mean, standard deviations, Spearman rank order test, and Mann-Whitney U test with p-value set at 0.05.</p><p><strong>Results: </strong>There was no significant difference in the scores on the English and Igbo versions of the GPAQ (p < 0.001). The correlations between the corresponding domains and total scores on both versions of the GPAQ (rho = 1.0)showed excellent concurrent agreement.</p><p><strong>Conclusion: </strong>The successfully adapted GPAQ-I demonstrated a strong agreement with the original English version. Further psychometric testing is required to fully establish its internal consistency, reliability, and validity.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"20"},"PeriodicalIF":0.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960286/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining physical activity clustering using machine learning revealed a diversity of 24-hour step-counting patterns.","authors":"Saida Salima Nawrin, Hitoshi Inada, Haruki Momma, Ryoichi Nagatomi","doi":"10.1186/s44167-024-00059-3","DOIUrl":"https://doi.org/10.1186/s44167-024-00059-3","url":null,"abstract":"<p><strong>Background: </strong>Physical activity is a crucial aspect of health benefits in the public society. Although studies on the temporal physical activity patterns might lead to the protocol for efficient intervention/program, a standardized procedure to determine and analyze the temporal physical activity patterns remains to be developed. Here, we attempted to develop a procedure to cluster 24-hour patterns of physical activity as step counts measured with an accelerometer-based wearable sensor.</p><p><strong>Methods: </strong>The 1 Hz step count data was collected by a hip-worn triaxial accelerometer from 42 healthy participants, comprising 35 males and 7 females, at the Sendai Oroshisho center in 2008. This is a cross sectional study using unsupervised machine learning, specifically the kernel k-means algorithm with the global alignment kernel was applied on a total of 815 days from 42 participants, and 6 activity patterns were identified. Further, the probability of each 24-hour step-counting pattern was calculated for every participant and used for spectral clustering of step-behavioral patterns.</p><p><strong>Results: </strong>We could identify six 24-hour step-counting patterns and five daily step-behavioral clusters. We could further identify five step-behavioral clusters, all-day dominant (21 participants), all-day + bi-phasic dominant (8 participants), bi-phasic dominant (6 participants), all-day + evening dominant (4 participants), and morning dominant (3 participants). When the amount of physical activity was categorized into tertile groups reflecting highly active, moderately active, and low active, each tertile group consisted of different proportions of six 24-hour step-counting patterns CONCLUSIONS: Our study introduces a novel approach using an unsupervised machine learning method to categorize daily hourly activity, revealing six distinct step counting patterns and five clusters representing daily step behaviors. Our procedure would be reliable for finding and clustering physical activity patterns/behaviors and reveal diversity in the categorization by a traditional tertile procedure using total step amount.</p>","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":"3 1","pages":"19"},"PeriodicalIF":0.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960237/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}