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The association between 24-h movement behaviours and adiposity among Australian preschoolers: a compositional data analysis

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BMC PUBLIC HEALTH 2025年第1期25卷 1-12页

作者： Decraene, Marga Chong, Kar Hau Stanford, Ty Dumuid, Dorothea Cross, Penny Cardon, Greet Verbestel, Vera De Craemer, Marieke Okely, Anthony Univ Ghent Dept Rehabil Sci B-9000 Ghent Belgium Univ Ghent Dept Movement & Sports Sci B-9000 Ghent Belgium Univ Wollongong Fac Arts Social Sci & Humanities Early Start Wollongong NSW 2522 Australia Univ Wollongong Fac Arts Social Sci & Humanities Sch Hlth & Soc Wollongong NSW 2522 Australia Univ South Australia Allied Hlth & Human Performance Alliance Res Exercise Nutr & Act ARENA Adelaide Australia Univ Wollongong Res Serv Off Res & Innovat Div Wollongong NSW 2522 Australia Maastricht Univ Inst Nutr & Translat Res Metab NUTRIM Fac Hlth Med & Life Sci Dept Hlth Promot Maastricht Netherlands Maastricht Univ Care & Publ Hlth Res Inst CAPHRI Fac Hlth Med & Life Sci Dept Hlth Promot Maastricht Netherlands Univ Wollongong Illawarra Hlth & Med Res Inst Wollongong NSW 2522 Australia

IntroductionThe relationship between 24-h movement behaviours (i.e. sleep, sedentary behaviour and physical activity) and adiposity in preschoolers remains unclear. Therefore, this study aims to investigate the associations between 24-h movement behaviours and adiposity in preschoolers making use of compositional data analysis (CoDA).MethodsAustralian preschoolers (3-5 years) from the Early Start Baseline Study wore an ActiGraph accelerometer to assess sedentary behaviour (SB), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). Their weight and height were measured using standardized protocols and converted to Body Mass Index (BMI) z-scores using the World Health Organisation growth references. Their parents completed a questionnaire to assess their level of education and the child's sleep duration, age and sex. CoDA was employed to investigate the association between 24-h movement behaviours and adiposity in *** study included 169 preschoolers and their overall 24-h movement behaviour composition was associated with BMI z-scores (F = 5.02, p = 0.002). When examining the association between each movement behaviour relative to the others and BMI z-scores, we observed a statistically significant favourable association for sleep (p = 0.025) and unfavourable association for MVPA (p = 0.010), but not for the other behaviours. As such, reallocating 10 min from sleep or from MVPA, proportionally to all other behaviours was associated with a difference of + 0.031 (95%CI = 0.004,0.06) and -0.085 (95%CI = -0.15,-0.02) in BMI z-score, *** the association between more time spent in MVPA and higher BMI z-scores, promoting a balanced amount of time in each 24-h movement behaviour-more MVPA, less sedentary time, and sufficient sleep-remains important for overall health. Future studies should address methodological challenges (e.g. recruitment bias that may exist in the parents/children willing to participate versus

关键词： 24-hour movement behaviour Preschooler Adiposity Overweight compositional data analysis

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Understanding arsenic and manganese enrichment in the aquifers of the Ghaghara river basin, Middle Gangetic Plain (MGP), India: A multivariate statistical, compositional data analysis (CoDA), and receptor model approach

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JOURNAL OF GEOCHEMICAL EXPLORATION 2024年 264卷

作者： Khan, Mohd Usman Rai, Nachiketa Shahwaar, Mohd Musahib, Mohd Rahman, Abdur Indian Inst Technol Dept Earth Sci Roorkee 247667 India Indian Inst Technol Ctr Space Sci & Technol Roorkee 247667 India Eotvos Lornd Univ Dept Geol Budapest Hungary Cent Groundwater Board Dept Water Resources River Dev & Ganga Rejuvenat Ahmadabad India

The focus of this study was to comprehend the spatial distribution, source apportionment, evaluation of natural background level (NBL), and mobilization mechanisms of arsenic (As) and manganese (Mn) in the Ghaghara river basin, located in the middle Gangetic plain (MGP) of India. A combination of analytical tools was employed, including multivariate statistical analysis (MSA), correlation analysis, and receptor models such as positive matrix factorization (PMF) and principal component analysis-multi linear regression (PCA-MLR). Taking into consideration the compositional constraints of the geochemical data, compositional data analysis (CoDA) methods were applied on the raw data prior to the correlation analysis and MSA. The results of MSA, correlation analysis and receptor models showed that major ion chemistry and As, Mn enrichment in groundwater were largely controlled by carbonate weathering, Fe and Mn oxyhydroxides dissolution. Anthropogenic activities, such as the infiltration of dissolved organic matter-rich water from local surface water bodies used as dumping sites and the infiltration of fertilizer-rich water from agricultural lands, were found to notably impact the groundwater geochemistry and release of As in the research area. The lower NBL of As (5.92 mu g/L) compared to its mean concentrations (17.9 mu g/L) in the study area also indicated that the rate of As release in groundwater through natural processes was comparatively low but various anthropogenic activities operating in the study region possibly acted as a trigger for the mobility of As from the mineral phases of the subsurface sediments. This study also highlighted the significance of applying CoDA techniques on geochemical data prior to statistical analysis, and the importance of receptor models, to better understand the nature and contribution of various natural and anthropogenic processes governing the hydrochemistry of groundwater in the alluvial aquifers.

关键词： Ghaghara Basin Arsenic Mobilization Natural Background Level compositional data analysis Receptor models

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Association between 24-hour movement behavior and depression in college students: A compositional data analysis

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JOURNAL OF AFFECTIVE DISORDERS 2025年 369卷 531-537页

作者： Huang, Zan Chen, Baoxiang Dong, Xuefen He, Jiabei Liu, Yanjie Li, Jiayu Zhou, Yulan Zhejiang Normal Univ Coll Phys Educ & Hlth Sci Jinhua 321004 Peoples R China

Background: Evidence strongly suggests that moderate-to-vigorous physical activity (MVPA) can help reduce symptoms of depression. However, the relationship between 24-h movement behaviors and depressive symptoms, as well as the potential substitution effects between different behaviors, remains unclear. Therefore, this study seeks to investigate how the time spent in one behavior relative to others is associated with depressive symptoms. Methods: The study recruited 366 participants, who had their levels of MVPA, light PA (LPA), and sedentary behavior (SB) recorded using tri-axial accelerometers over 7 consecutive days. Participants also self-reported their sleep duration (SLP). Depression scores were measured using the Center for Epidemiological Studies Depression Scale (CES-D). Using compositional linear regression, the study explored the connections between different compositions of time spent in movement behaviors and depression symptom scores. Results: Spending more time on LPA and MVPA relative to other behaviors were associated with lower depression scores, whereas a higher proportion of SB relative to other activities was linked to increased depression scores. Reallocating time spent on SB to LPA and MVPA was associated with decreased depression scores. Limitation: This study is a cross-sectional research design, and causality cannot be inferred. In addition, the sampling method of this study may have imposed some limitations on the representativeness of the sample. Further longitudinal studies could be conducted by selecting a large, representative sample. Conclusion: Within the spectrum of 24-h movement behaviors, increasing the duration of LPA and MVPA emerges as advantageous for reducing depression scores, suggesting a potential benefit in reallocating SB to PA, especially MVPA.

关键词： Physical activity Sedentary behavior Sleep Depression compositional data analysis

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Reallocation of time to moderate-to-vigorous physical activity and estimated changes in physical fitness among preschoolers: a compositional data analysis

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BMC PUBLIC HEALTH 2024年第1期24卷 2823页

作者： Lu, Zhaoxu Guo, Jin Liu, Chuanhe Wu, Jian Zhao, Chuo Wang, Fang Bao, Yihua Zhang, Haowen Qi, Bing Li, Xiuhe Guan, Hongyan Wu, Jianxin Zhang, Ting Capital Inst Pediat Beijing Municipal Key Lab Child Dev & Nutri Beijing Peoples R China Childrens Hosp Capital Inst Pediat Dept Allergy Beijing Peoples R China Capital Univ Phys Educ & Sports Sch Kinesiol & Hlth Beijing Peoples R China Hebei Univ Sch Publ Hlth Baoding Peoples R China Shougang Presch Educ Ctr Jinding St Kindergarten Beijing Peoples R China Beijing Econ & Technol Dev Zone Froebel Fu Wa Kind Child Growth Data Ctr Beijing Peoples R China Capital Inst Pediat Nurturing Care Res & Guidance Ctr Child Healthcare Ctr Beijing Peoples R China Capital Med Univ Beijing Tongren Hosp Beijing Peoples R China

Background Previous research has examined the associations of preschoolers' 24-h movement behaviours, including light and moderate-to-vigorous physical activity (LPA and MVPA), sedentary behaviour (SB), sleep, with physical fitness in isolation, ignoring intrinsically compositional nature of movement data while increasing the risk of collinearity. Thus, this study investigated the associations of preschoolers' 24-h Movement behaviours composition with physical fitness, estimated changes in physical fitness when time was reallocated between movement behaviours composition, and determined whether associations differ between different genders, using compositional data analysis. Methods In the cross-sectional study, a total of 275 preschoolers (3 similar to 6 y) from China were included. SB, LPA and MVPA times were objectively monitored with an ActiGraph GT9X accelerometer for 7 consecutive days. Sleep duration was obtained using parental reports. Physical fitness parameters, including upper and lower limb strength, static balance, speed-agility, and cardiorespiratory fitness (CRF), were determined with the PREFIT battery. The associations of 24-h movement behaviours composition with each physical fitness parameter were examined employing compositional multivariable linear regression models. The changes following time reallocation among behaviours were estimated employing compositional isotemporal substitution analyses. Results Greater MVPA, but not LPA, was significantly related to better upper and lower limb strength, speed-agility, and CRF. Reallocating time from LPA or SB to MVPA was related to better physical fitness. The associations were non-symmetrical: the estimated detriments to physical fitness from replacing MVPA with LPA or SB were larger than the estimated benefits associated with adding MVPA of the same magnitude. The aforementioned associations with lower limb strength, CRF, and speed-agility were observed in boys, while associations with upper and lower

关键词： Preschoolers compositional data analysis 24-h movement behaviours Physical fitness MVPA

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24-hour movement behaviors and changes in quality of life over time among community-dwelling older adults: a compositional data analysis

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INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY 2024年第1期21卷 1-9页

作者： Palmberg, Lotta Suorsa, Kristin Lopponen, Antti Karavirta, Laura Rantanen, Taina Rantalainen, Timo Univ Jyvaskyla Gerontol Res Ctr Jyvaskyla Finland Univ Jyvaskyla Fac Sport & Hlth Sci Jyvaskyla Finland Univ Turku Dept Publ Hlth Turku Finland Turku Univ Hosp Turku Finland Univ Turku Ctr Populat Hlth Res Turku Finland

BackgroundFavorable movement behavior patterns, comprising more physical activity, less sedentary behavior, and sufficient sleep, may promote the maintenance of good quality of life (QoL) with advancing age. The aim of the present study was to investigate whether movement behaviors predict future changes in QoL among community-dwelling older adults over a four-year *** were 75-, 80- and 85-year-old community-dwelling older adults (n = 203) followed up for 4 years. Participants wore thigh- and trunk-mounted accelerometers for 3-7 days at baseline. Proportion of time-use in physical activity, standing and sedentary behavior were assessed based on body posture and movement intensity. Time in bed was determined using an automated algorithm. QoL was assessed during a home interview using the short Older People's Quality of Life Questionnaire at baseline and follow-up (range 13-65, higher scores indicate higher QoL). compositional linear regression analysis was used to study whether baseline time-use composition predicts changes in *** the 4-year follow-up, QoL scores decreased by 5% on average. Higher physical activity in relation to the other movement behaviors was associated with increase in QoL over time (beta ilr 0.94, p = 0.013), but this association attenuated after adding baseline physical function into the model. Sedentary behavior, standing, and time in bed were not associated with changes in QoL. Theoretical reallocation of 30 min of physical activity into sedentary behavior, standing or time in bed was estimated to decrease QoL by 0.5 (CI 95% -0.6 to -0.4), 0.6 (-0.7 to -0.5) and 0.4 (-0.5 to -0.3) points, *** reallocation of physical activity into sedentary behavior, standing, and time in bed was found to be associated with prospective decline in QoL among older adults. Engaging more in physical activity and less in more passive activities may promote better QoL with advancing age.

关键词： Physical activity Sedentary behavior Sleep Wellbeing compositional data analysis

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Advancing forensic research: An examination of compositional data analysis with an application on petrol fraud detection

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SCIENCE & JUSTICE 2024年第1期64卷 9-18页

作者： Templ, M. Gonzalez-Rodriguez, J. Univ Appl Sci & Arts Northwestern Switzerland FHNW Inst Competitiveness & Commun ICC Riggenbachstr 16 CH-4600 Olten Switzerland Univ Lincoln Sch Chem Brayford Pool Campus Lincoln LN6 7TS England

In recent years, numerous studies have examined the chemical compounds of petrol and petrol data for forensic research. Standard quantitative methods often assume that the variables or compounds do not have compositional constraints or are not part of a constrained whole, operating within an Euclidean vector space. However, chemical compounds are typically part of a whole, and the appropriate vector space for their analysis is the simplex. Biased and arbitrary results result when statistical analysis are applied on such data without proper pre-processing of such data. compositional analysis of data has not yet been considered in forensic science. Therefore, we compare classical statistical analysis as applied in forensic research and the new proposed para-digm of compositional data analysis (CoDa). It is demonstrated how such analysis improves the analysis in petrol and forensic *** study shows how principal component analysis (PCA) and classification results are affected by the preprocessing steps performed on the raw data. Our results indicate that results from a log ratio analysis provides a better separation between subgroups of the data and leads to an easier interpretation of the results. In addition, with a compositional analysis a higher classification accuracy is obtained. Even a non-linear classification method -in our case a random forest -was shown to perform poorly when applied without using compositional methods. Moreover, normalization of samples due to laboratory/unit-of-measurement effects is no longer necessary, since the composition of an observation is in compositional thinking equivalent to a multiple of it, because the used (log) ratios on raw and log ratio transformed data are equal. Petrol data from different petrol stations in Brazil are used for the demonstration. This data is highly sus-ceptible to counterfeit petrol. Forensic analysis of its chemical elements requires non-biased statistical analysis designed for compositional data

关键词： Forensic science Petrol data Chemical compounds compositional data analysis Classification

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Longitudinal Associations Between Movement Behaviours and Development Among Infants Using compositional data analysis

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CHILD CARE HEALTH AND DEVELOPMENT 2025年第1期51卷 e70025页

作者： Carson, Valerie Zhang, Zhiguang Boyd, Madison Pritchard, Lesley Hesketh, Kylie D. Univ Alberta Fac Kinesiol Sport & Recreat Edmonton AB Canada Univ Alberta Fac Rehabil Med Edmonton AB Canada Deakin Univ Inst Phys Act & Nutr Fac Hlth Geelong Vic Australia

Background: The study examined the longitudinal associations of sleep time, restrained time, back time and tummy time with development in a sample of infants using compositional data analysis. Methods: Participants were a subsample of 93 parent-infant dyads from the Early Movers project in Edmonton, Canada. Parents completed a 3-day time-use diary at 2, 4 and 6 months of age. Time spent in four mutually exclusive movement behaviours were calculated representing sleep (i.e., sleep time), sedentary behaviour (i.e., restrained time and back time) and physical activity (i.e., tummy time). Communication, fine motor, gross motor, personal-social, problem solving and total development were measured at 2, 4 and 6 months of age with the Ages and Stages Questionnaire (ASQ-3). Gross motor development was also measured by a physiotherapist using the Alberta Infant Motor Scale (AIMS) at 6 months. The age six major gross motor milestones (i.e., independent sitting, crawling, assisted standing, assisted walking, independent standing, independent walking) were achieved according to World Health Organization criteria, in the first 18 months of life, were calculated. Results: The composition of movement behaviours across time points was significantly associated with: ASQ-3 gross motor, problem solving and total development scores over time, total and percentile AIMS scores at 6 months and independent standing and walking milestones (ilr model p-value: < 0.001-0.045;model R2: 0.02-0.15). More sleep time or tummy time relative to other movement behaviours was associated with more advanced development and earlier achievement of some milestones. The opposite was observed for back time. Associations with restrained time were mixed. The optimal movement behaviour durations (minutes/day) for AIMS and WHO milestone outcomes, were 38-43 of tummy time, 51-54 of back time, 43-96 of restrained time and 845-900 of sleep time. Conclusions: Targeting healthy movement behaviour patterns in infants m

关键词： compositional data analysis development infants longitudinal sedentary behaviour sleep tummy time

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Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysis

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BMC PUBLIC HEALTH 2025年第1期25卷 1-13页

作者： Li, Jiayu Lin, Zhendiao Zou, Mengting Feng, Xin Liu, Yuanyue Zhejiang Normal Univ Coll Teacher Educ Jinhua Peoples R China Zhejiang Normal Univ Coll Phys Educ & Hlth Sci Jinhua Peoples R China Wuhan Univ Technol Sch Phys Educ Wuhan Peoples R China

Objective This study investigates the relationship between movement behaviors and physical fitness (PF) in university students, and based on the top 5% of model-predicted outcomes for PF to determine the optimal movement behaviors balance. Methods A total of 463 university students aged 15-24 years from Jinhua City wore accelerometers to measure moderate-to-vigorous physical activity (MVPA), light-intensity physical activity (LPA), and sedentary behavior (SB). Sleep (SLP) was self-reported. The body mass index (BMI), forced vital capacity (FVC), 50-meter dash, standing long jump, sit-and-reach, sit-ups (female), pull-ups (male), 800-meter run (female), and 1000-meter run (male) were used as indicators to assess the physical fitness of university students. Regression analysis was used to examine the relationship between movement behaviors and PF. All possible movement component combinations were investigated to determine the best correlation (top 5%) with each outcome. Results For males, SB (beta = 5.05, p < 0.05) was significantly correlated with an increase in BMI. MVPA was significantly correlated with improvements in BMI (beta = -1.75, p < 0.05), FVC (beta = 494.21, p < 0.05), and endurance qualities (beta = -25.77, p < 0.05). For females, MVPA was significantly correlated with improvements in BMI (beta = -1.03, p < 0.05), FVC (beta = 176.05, p < 0.05), speed capability (beta = -0.26, p < 0.05), and endurance qualities (beta = -16.38, p < 0.05). LPA was associated with improvements in endurance qualities (beta = -24.10, p < 0.05). SB was significantly correlated with a decline in endurance qualities (beta = 24.25, p < 0.05). The average (range) optimal combination of time use was as follows: For males, MVPA = 142 min/day, SB = 534 min/day, LPA = 295 min/day, and SLP = 469 min/day. For females, MVPA = 115 min/day, SB = 536 min/day, LPA = 306 min/day, and SLP = 482 min/day. Conclusion For both males and females, increased MVPA and reduced sedentary time were associ

关键词： Movement behaviors Physical fitness Isotemporal substitution compositional data analysis Students

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Comprehensive evaluation of hydro-chemical processes, suitability, health risks, and sources of groundwater contamination using compositional data analysis, Nizampur basin, Pakistan

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GROUNDWATER FOR SUSTAINABLE DEVELOPMENT 2023年 23卷

作者： Ullah, Assad Ali, Wajid Muhammad, Said Ijaz, Jehangir Amir, Faseeha Iqbal, Shahid Univ Peshawar Natl Ctr Excellence Geol Peshawar 25130 Pakistan Univ Peshawar Directorate Adv Studies & Res Peshawar Pakistan

This study aimed to evaluate the level of contamination, health risks, hydro-chemical processes, and sources of contaminants in the groundwater of the Nizampur basin, northwestern Pakistan. Forty-eight (n = 48) ground-water samples from predefined locations were collected and analyzed using the standard procedure for a total of 13 parameters. Statistical techniques in the compositional data analysis perspective were used for the identification of sources. The results showed that TDS, Turbidity, SO4, and NO3 concentrations surpassed the limits in 44, 29, 25, and 48% of samples, respectively. The nitrate pollution index indicated that 48% of the samples were contaminated with nitrates, while the composite index PIG showed that only 22% of the samples indicated low pollution. A close association between the land use/land cover of the study area and NO3 contamination was observed. In general, the groundwater of the region could be categorized as fresh-very hard water (87.5%), the major hydro-chemical facies were, Ca-Mg-HCO3, followed by mixed Ca-Mg-Cl and Ca-Cl facies. The Van Wirdum diagram showed that groundwater was mainly influenced by rock weathering and profound human impact. Similarly, it was assessed using chloro-alkaline indices that reverse ion exchange is a governing hydro-chemical process. NO3 concentrations in the area have the potential to cause non-cancer ailments in 75% and 47% of the samples in children and adults respectively. Based on the assessments made using the compositional data analysis it was inferred that NO3, SO4, Cl, and Turbidity originated from human sources, while the rest of the parameters have natural/geogenic sources.

关键词： Groundwater contamination compositional data analysis Health risks Water quality Hydro-geochemistry Nitrates

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Spatial distribution, eco-environmental risks, and source characterization of heavy metals using compositional data analysis in riverine sediments of a Himalayan river, Northern Pakistan

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JOURNAL OF SOILS AND SEDIMENTS 2023年第5期23卷 2244-2257页

作者： Ali, Wajid Muhammad, Said Univ Peshawar Natl Ctr Excellence Geol Peshawar 25130 Pakistan

PurposeRiverine sediments are an important component of the aquatic environment as they play an essential role in influencing its eco-environmental functions. Sediments may serve as both the source and sink of heavy metals (HM). The Astore River basin is located in the Himalayas, northern Pakistan. The area is frequented by a high number of tourists and is characterized by a fragile biophysical system. This study aimed to assess the occurrence, spatial patterns, and potential sources of HM in the sediments of the Astore River ***-nine samples from the Astore River and its tributaries were collected and analyzed for nine HM (Fe, Mn, Cu, Zn, Cd, Cu, Co, Pb, and Ni) using atomic absorption spectrometry. Various modified indices, i.e., modified ecological risk index (mERI) and modified sediments pollution index (mSPI), were utilized to assess the sediment ecological and pollution risks. The data were subjected to compositional data analysis (Coda) using the R program for the source characterization of *** results indicated that among the HM, Fe and Cd had the highest and lowest concentrations, respectively. Mn contributed the most to the pollution of the sediments, while Cd has the highest potential ecological impact. The mSPI indicated that the sediments were either in their natural state or showed low to moderate contamination, while only 2.5% were classified as extremely polluted. At the same time, 12.8% of the samples were categorized in the high pollution class. The ecological risk, however, showed more profound and negative bearings on the sediment quality as 33.3% and 2.5% of the samples showed considerable to high ecological risks. The spatial distribution of HM and the modified indices indicated Deosai valley as the zone of concern for management and abatement ***, this study concluded that the major contribution to HM concentration in the area was from natural sources. However, in the case of Cd and Zn, an ampl

关键词： Heavy metals Sediments Enrichment factor Ecological risk compositional data analysis

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