Significant differences in 24h-MBs composition according to four metrics (ENMO, MAD, CPM VA, and CPM VM).
<p>Linear mixed models were used to take into account the compositional data represented by isometric log ratios per composition stacked within the participant The intensity-based cut-points thresholds for each metric are as follows: ENMO Hildebrand et al. (2014), MAD Vaha Ypya et al. (2018, 2...
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2024
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| _version_ | 1852026591124652032 |
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| author | Iris Willems (5449706) |
| author2 | Vera Verbestel (13376559) Dorothea Dumuid (4015823) Patrick Calders (426511) Bruno Lapauw (3373895) Marieke De Craemer (704665) |
| author2_role | author author author author author |
| author_facet | Iris Willems (5449706) Vera Verbestel (13376559) Dorothea Dumuid (4015823) Patrick Calders (426511) Bruno Lapauw (3373895) Marieke De Craemer (704665) |
| author_role | author |
| dc.creator.none.fl_str_mv | Iris Willems (5449706) Vera Verbestel (13376559) Dorothea Dumuid (4015823) Patrick Calders (426511) Bruno Lapauw (3373895) Marieke De Craemer (704665) |
| dc.date.none.fl_str_mv | 2024-09-17T17:40:41Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0309931.s005 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Significant_differences_in_24h-MBs_composition_according_to_four_metrics_ENMO_MAD_CPM_VA_and_CPM_VM_/27047753 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Neuroscience Evolutionary Biology Cancer Mental Health Infectious Diseases Space Science Mathematical Sciences not elsewhere classified single movement behaviors regression models across movement behavior guidelines movement behavior features mean age 45 hour movement behaviors cpm vertical axis cpm vector magnitude cpm )), 2 counts per minute body mass index bland &# 8210 actigraph gt3x +) 0 &# 8211 explore potential variations 8 &# 177 time use estimates meeting integrated 24h mbs guidelines varied 213 belgian adults impacting guideline compliance cardiometabolic variables depending time use cardiometabolic variables guideline compliance explore differences 8 years cardiometabolic health xlink "> waist circumference physical activity intraclass correlations intensity gradient ggir ). four metrics compositional variable compliance rates comparing findings comparative analysis average acceleration active profile accelerometry studies accelerometer metrics accelerometer data |
| dc.title.none.fl_str_mv | Significant differences in 24h-MBs composition according to four metrics (ENMO, MAD, CPM VA, and CPM VM). |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Linear mixed models were used to take into account the compositional data represented by isometric log ratios per composition stacked within the participant The intensity-based cut-points thresholds for each metric are as follows: ENMO Hildebrand et al. (2014), MAD Vaha Ypya et al. (2018, 2023), CPM VA Troiano et al. (2008), and CPM VM Sasaki et al. (2011).</p> <p>(XLSX)</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_f1d8080cf378aefd8b17c38cdf514b85 |
| identifier_str_mv | 10.1371/journal.pone.0309931.s005 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27047753 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Significant differences in 24h-MBs composition according to four metrics (ENMO, MAD, CPM VA, and CPM VM).Iris Willems (5449706)Vera Verbestel (13376559)Dorothea Dumuid (4015823)Patrick Calders (426511)Bruno Lapauw (3373895)Marieke De Craemer (704665)MedicineNeuroscienceEvolutionary BiologyCancerMental HealthInfectious DiseasesSpace ScienceMathematical Sciences not elsewhere classifiedsingle movement behaviorsregression models acrossmovement behavior guidelinesmovement behavior featuresmean age 45hour movement behaviorscpm vertical axiscpm vector magnitudecpm )), 2counts per minutebody mass indexbland &# 8210actigraph gt3x +)0 &# 8211explore potential variations8 &# 177time use estimatesmeeting integrated 24hmbs guidelines varied213 belgian adultsimpacting guideline compliancecardiometabolic variables dependingtime usecardiometabolic variablesguideline complianceexplore differences8 yearscardiometabolic healthxlink ">waist circumferencephysical activityintraclass correlationsintensity gradientggir ).four metricscompositional variablecompliance ratescomparing findingscomparative analysisaverage accelerationactive profileaccelerometry studiesaccelerometer metricsaccelerometer data<p>Linear mixed models were used to take into account the compositional data represented by isometric log ratios per composition stacked within the participant The intensity-based cut-points thresholds for each metric are as follows: ENMO Hildebrand et al. (2014), MAD Vaha Ypya et al. (2018, 2023), CPM VA Troiano et al. (2008), and CPM VM Sasaki et al. (2011).</p> <p>(XLSX)</p>2024-09-17T17:40:41ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0309931.s005https://figshare.com/articles/dataset/Significant_differences_in_24h-MBs_composition_according_to_four_metrics_ENMO_MAD_CPM_VA_and_CPM_VM_/27047753CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/270477532024-09-17T17:40:41Z |
| spellingShingle | Significant differences in 24h-MBs composition according to four metrics (ENMO, MAD, CPM VA, and CPM VM). Iris Willems (5449706) Medicine Neuroscience Evolutionary Biology Cancer Mental Health Infectious Diseases Space Science Mathematical Sciences not elsewhere classified single movement behaviors regression models across movement behavior guidelines movement behavior features mean age 45 hour movement behaviors cpm vertical axis cpm vector magnitude cpm )), 2 counts per minute body mass index bland &# 8210 actigraph gt3x +) 0 &# 8211 explore potential variations 8 &# 177 time use estimates meeting integrated 24h mbs guidelines varied 213 belgian adults impacting guideline compliance cardiometabolic variables depending time use cardiometabolic variables guideline compliance explore differences 8 years cardiometabolic health xlink "> waist circumference physical activity intraclass correlations intensity gradient ggir ). four metrics compositional variable compliance rates comparing findings comparative analysis average acceleration active profile accelerometry studies accelerometer metrics accelerometer data |
| status_str | publishedVersion |
| title | Significant differences in 24h-MBs composition according to four metrics (ENMO, MAD, CPM VA, and CPM VM). |
| title_full | Significant differences in 24h-MBs composition according to four metrics (ENMO, MAD, CPM VA, and CPM VM). |
| title_fullStr | Significant differences in 24h-MBs composition according to four metrics (ENMO, MAD, CPM VA, and CPM VM). |
| title_full_unstemmed | Significant differences in 24h-MBs composition according to four metrics (ENMO, MAD, CPM VA, and CPM VM). |
| title_short | Significant differences in 24h-MBs composition according to four metrics (ENMO, MAD, CPM VA, and CPM VM). |
| title_sort | Significant differences in 24h-MBs composition according to four metrics (ENMO, MAD, CPM VA, and CPM VM). |
| topic | Medicine Neuroscience Evolutionary Biology Cancer Mental Health Infectious Diseases Space Science Mathematical Sciences not elsewhere classified single movement behaviors regression models across movement behavior guidelines movement behavior features mean age 45 hour movement behaviors cpm vertical axis cpm vector magnitude cpm )), 2 counts per minute body mass index bland &# 8210 actigraph gt3x +) 0 &# 8211 explore potential variations 8 &# 177 time use estimates meeting integrated 24h mbs guidelines varied 213 belgian adults impacting guideline compliance cardiometabolic variables depending time use cardiometabolic variables guideline compliance explore differences 8 years cardiometabolic health xlink "> waist circumference physical activity intraclass correlations intensity gradient ggir ). four metrics compositional variable compliance rates comparing findings comparative analysis average acceleration active profile accelerometry studies accelerometer metrics accelerometer data |