Associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults
Abstract Background Growth differentiation factor 15 (GDF‐15) is a biomarker for chronic disease burden that might explain the health effects of sedentary behaviours (SBs) and physical activity (PA). We examined associations of device‐measured sleep, SB and PA, and time reallocations among them, wit...
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| Autor*in: |
Rosario Ortolá [verfasserIn] Esther García‐Esquinas [verfasserIn] Antonio Buño‐Soto [verfasserIn] Verónica Cabanas‐Sánchez [verfasserIn] David Martínez‐Gómez [verfasserIn] Mercedes Sotos‐Prieto [verfasserIn] Ellen A. Struijk [verfasserIn] Francisco Félix Caballero [verfasserIn] Esther Lopez‐Garcia [verfasserIn] José R. Banegas [verfasserIn] Fernando Rodríguez‐Artalejo [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Journal of Cachexia, Sarcopenia and Muscle - Wiley, 2016, 13(2022), 2, Seite 1003-1012 |
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| Übergeordnetes Werk: |
volume:13 ; year:2022 ; number:2 ; pages:1003-1012 |
| Links: |
Link aufrufen |
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| DOI / URN: |
10.1002/jcsm.12924 |
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| Katalog-ID: |
DOAJ063992957 |
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| 245 | 1 | 0 | |a Associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults |
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| 520 | |a Abstract Background Growth differentiation factor 15 (GDF‐15) is a biomarker for chronic disease burden that might explain the health effects of sedentary behaviours (SBs) and physical activity (PA). We examined associations of device‐measured sleep, SB and PA, and time reallocations among them, with GDF‐15 in older adults. Methods We used data from 2245 older adults participating in the Seniors‐ENRICA‐2 study. Wrist‐worn accelerometers were employed to ascertain total time in sleep, SB, light PA (LPA) and moderate‐to vigorous PA (MVPA). Associations between these activities and serum GDF‐15 levels were analysed using linear regression, including isotemporal substitution models for time reallocations among activities, and adjusted for potential confounders. Analyses were conducted separately in two groups (less active and more active individuals) according to the median total PA time. Results In the less active participants, 30 min/day more of MVPA were related to lower levels of GDF‐15 when replacing sleep (fully adjusted mean percentage differences [95% confidence interval] in GDF‐15 of −9.2% [−13.2, −5.0]), SB (−9.8% [−13.6, −5.8]) and LPA (−5.8% [−11.1, −0.3]), whereas 30 min/day more of LPA were related to lower GDF‐15 when replacing both sleep (−3.6% [−6.1, −1.0]) and SB (−4.2% [−6.7, −1.7]). In the more active participants, 30 min/day more of MVPA were also associated with lower GDF‐15 when replacing sleep (−2.9% [−5.3, −0.3]), SB (−2.4% [−4.6, −0.2]) and LPA (−3.5% [−6.6, −0.3]), but no associations were found for more time in LPA. Spending more time in SB was associated with higher GDF‐15 levels only among those less active (1.9% [0.9, 2.9] per 30 min/day increment). Sleep time did not appear to be associated with GDF‐15. Conclusions The MVPA was inversely associated with GDF‐15, with stronger associations at lower PA volumes. Also, more LPA and less SB time were linked to lower GDF‐15 in the less active individuals. This suggests that simply moving more and sitting less may reduce chronic disease burden in older adults. | ||
| 650 | 4 | |a GDF‐15 | |
| 650 | 4 | |a Physical activity | |
| 650 | 4 | |a Sedentary behaviours | |
| 650 | 4 | |a Isotemporal substitution | |
| 650 | 4 | |a Older adults | |
| 653 | 0 | |a Diseases of the musculoskeletal system | |
| 653 | 0 | |a Human anatomy | |
| 700 | 0 | |a Esther García‐Esquinas |e verfasserin |4 aut | |
| 700 | 0 | |a Antonio Buño‐Soto |e verfasserin |4 aut | |
| 700 | 0 | |a Verónica Cabanas‐Sánchez |e verfasserin |4 aut | |
| 700 | 0 | |a David Martínez‐Gómez |e verfasserin |4 aut | |
| 700 | 0 | |a Mercedes Sotos‐Prieto |e verfasserin |4 aut | |
| 700 | 0 | |a Ellen A. Struijk |e verfasserin |4 aut | |
| 700 | 0 | |a Francisco Félix Caballero |e verfasserin |4 aut | |
| 700 | 0 | |a Esther Lopez‐Garcia |e verfasserin |4 aut | |
| 700 | 0 | |a José R. Banegas |e verfasserin |4 aut | |
| 700 | 0 | |a Fernando Rodríguez‐Artalejo |e verfasserin |4 aut | |
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10.1002/jcsm.12924 doi (DE-627)DOAJ063992957 (DE-599)DOAJccbf1e3e86194df0a86a4a4702379122 DE-627 ger DE-627 rakwb eng RC925-935 QM1-695 Rosario Ortolá verfasserin aut Associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Growth differentiation factor 15 (GDF‐15) is a biomarker for chronic disease burden that might explain the health effects of sedentary behaviours (SBs) and physical activity (PA). We examined associations of device‐measured sleep, SB and PA, and time reallocations among them, with GDF‐15 in older adults. Methods We used data from 2245 older adults participating in the Seniors‐ENRICA‐2 study. Wrist‐worn accelerometers were employed to ascertain total time in sleep, SB, light PA (LPA) and moderate‐to vigorous PA (MVPA). Associations between these activities and serum GDF‐15 levels were analysed using linear regression, including isotemporal substitution models for time reallocations among activities, and adjusted for potential confounders. Analyses were conducted separately in two groups (less active and more active individuals) according to the median total PA time. Results In the less active participants, 30 min/day more of MVPA were related to lower levels of GDF‐15 when replacing sleep (fully adjusted mean percentage differences [95% confidence interval] in GDF‐15 of −9.2% [−13.2, −5.0]), SB (−9.8% [−13.6, −5.8]) and LPA (−5.8% [−11.1, −0.3]), whereas 30 min/day more of LPA were related to lower GDF‐15 when replacing both sleep (−3.6% [−6.1, −1.0]) and SB (−4.2% [−6.7, −1.7]). In the more active participants, 30 min/day more of MVPA were also associated with lower GDF‐15 when replacing sleep (−2.9% [−5.3, −0.3]), SB (−2.4% [−4.6, −0.2]) and LPA (−3.5% [−6.6, −0.3]), but no associations were found for more time in LPA. Spending more time in SB was associated with higher GDF‐15 levels only among those less active (1.9% [0.9, 2.9] per 30 min/day increment). Sleep time did not appear to be associated with GDF‐15. Conclusions The MVPA was inversely associated with GDF‐15, with stronger associations at lower PA volumes. Also, more LPA and less SB time were linked to lower GDF‐15 in the less active individuals. This suggests that simply moving more and sitting less may reduce chronic disease burden in older adults. GDF‐15 Physical activity Sedentary behaviours Isotemporal substitution Older adults Diseases of the musculoskeletal system Human anatomy Esther García‐Esquinas verfasserin aut Antonio Buño‐Soto verfasserin aut Verónica Cabanas‐Sánchez verfasserin aut David Martínez‐Gómez verfasserin aut Mercedes Sotos‐Prieto verfasserin aut Ellen A. Struijk verfasserin aut Francisco Félix Caballero verfasserin aut Esther Lopez‐Garcia verfasserin aut José R. Banegas verfasserin aut Fernando Rodríguez‐Artalejo verfasserin aut In Journal of Cachexia, Sarcopenia and Muscle Wiley, 2016 13(2022), 2, Seite 1003-1012 (DE-627)642886121 (DE-600)2586864-0 21906009 nnns volume:13 year:2022 number:2 pages:1003-1012 https://doi.org/10.1002/jcsm.12924 kostenfrei https://doaj.org/article/ccbf1e3e86194df0a86a4a4702379122 kostenfrei https://doi.org/10.1002/jcsm.12924 kostenfrei https://doaj.org/toc/2190-5991 Journal toc kostenfrei https://doaj.org/toc/2190-6009 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 2 1003-1012 |
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10.1002/jcsm.12924 doi (DE-627)DOAJ063992957 (DE-599)DOAJccbf1e3e86194df0a86a4a4702379122 DE-627 ger DE-627 rakwb eng RC925-935 QM1-695 Rosario Ortolá verfasserin aut Associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Growth differentiation factor 15 (GDF‐15) is a biomarker for chronic disease burden that might explain the health effects of sedentary behaviours (SBs) and physical activity (PA). We examined associations of device‐measured sleep, SB and PA, and time reallocations among them, with GDF‐15 in older adults. Methods We used data from 2245 older adults participating in the Seniors‐ENRICA‐2 study. Wrist‐worn accelerometers were employed to ascertain total time in sleep, SB, light PA (LPA) and moderate‐to vigorous PA (MVPA). Associations between these activities and serum GDF‐15 levels were analysed using linear regression, including isotemporal substitution models for time reallocations among activities, and adjusted for potential confounders. Analyses were conducted separately in two groups (less active and more active individuals) according to the median total PA time. Results In the less active participants, 30 min/day more of MVPA were related to lower levels of GDF‐15 when replacing sleep (fully adjusted mean percentage differences [95% confidence interval] in GDF‐15 of −9.2% [−13.2, −5.0]), SB (−9.8% [−13.6, −5.8]) and LPA (−5.8% [−11.1, −0.3]), whereas 30 min/day more of LPA were related to lower GDF‐15 when replacing both sleep (−3.6% [−6.1, −1.0]) and SB (−4.2% [−6.7, −1.7]). In the more active participants, 30 min/day more of MVPA were also associated with lower GDF‐15 when replacing sleep (−2.9% [−5.3, −0.3]), SB (−2.4% [−4.6, −0.2]) and LPA (−3.5% [−6.6, −0.3]), but no associations were found for more time in LPA. Spending more time in SB was associated with higher GDF‐15 levels only among those less active (1.9% [0.9, 2.9] per 30 min/day increment). Sleep time did not appear to be associated with GDF‐15. Conclusions The MVPA was inversely associated with GDF‐15, with stronger associations at lower PA volumes. Also, more LPA and less SB time were linked to lower GDF‐15 in the less active individuals. This suggests that simply moving more and sitting less may reduce chronic disease burden in older adults. GDF‐15 Physical activity Sedentary behaviours Isotemporal substitution Older adults Diseases of the musculoskeletal system Human anatomy Esther García‐Esquinas verfasserin aut Antonio Buño‐Soto verfasserin aut Verónica Cabanas‐Sánchez verfasserin aut David Martínez‐Gómez verfasserin aut Mercedes Sotos‐Prieto verfasserin aut Ellen A. Struijk verfasserin aut Francisco Félix Caballero verfasserin aut Esther Lopez‐Garcia verfasserin aut José R. Banegas verfasserin aut Fernando Rodríguez‐Artalejo verfasserin aut In Journal of Cachexia, Sarcopenia and Muscle Wiley, 2016 13(2022), 2, Seite 1003-1012 (DE-627)642886121 (DE-600)2586864-0 21906009 nnns volume:13 year:2022 number:2 pages:1003-1012 https://doi.org/10.1002/jcsm.12924 kostenfrei https://doaj.org/article/ccbf1e3e86194df0a86a4a4702379122 kostenfrei https://doi.org/10.1002/jcsm.12924 kostenfrei https://doaj.org/toc/2190-5991 Journal toc kostenfrei https://doaj.org/toc/2190-6009 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 2 1003-1012 |
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10.1002/jcsm.12924 doi (DE-627)DOAJ063992957 (DE-599)DOAJccbf1e3e86194df0a86a4a4702379122 DE-627 ger DE-627 rakwb eng RC925-935 QM1-695 Rosario Ortolá verfasserin aut Associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Growth differentiation factor 15 (GDF‐15) is a biomarker for chronic disease burden that might explain the health effects of sedentary behaviours (SBs) and physical activity (PA). We examined associations of device‐measured sleep, SB and PA, and time reallocations among them, with GDF‐15 in older adults. Methods We used data from 2245 older adults participating in the Seniors‐ENRICA‐2 study. Wrist‐worn accelerometers were employed to ascertain total time in sleep, SB, light PA (LPA) and moderate‐to vigorous PA (MVPA). Associations between these activities and serum GDF‐15 levels were analysed using linear regression, including isotemporal substitution models for time reallocations among activities, and adjusted for potential confounders. Analyses were conducted separately in two groups (less active and more active individuals) according to the median total PA time. Results In the less active participants, 30 min/day more of MVPA were related to lower levels of GDF‐15 when replacing sleep (fully adjusted mean percentage differences [95% confidence interval] in GDF‐15 of −9.2% [−13.2, −5.0]), SB (−9.8% [−13.6, −5.8]) and LPA (−5.8% [−11.1, −0.3]), whereas 30 min/day more of LPA were related to lower GDF‐15 when replacing both sleep (−3.6% [−6.1, −1.0]) and SB (−4.2% [−6.7, −1.7]). In the more active participants, 30 min/day more of MVPA were also associated with lower GDF‐15 when replacing sleep (−2.9% [−5.3, −0.3]), SB (−2.4% [−4.6, −0.2]) and LPA (−3.5% [−6.6, −0.3]), but no associations were found for more time in LPA. Spending more time in SB was associated with higher GDF‐15 levels only among those less active (1.9% [0.9, 2.9] per 30 min/day increment). Sleep time did not appear to be associated with GDF‐15. Conclusions The MVPA was inversely associated with GDF‐15, with stronger associations at lower PA volumes. Also, more LPA and less SB time were linked to lower GDF‐15 in the less active individuals. This suggests that simply moving more and sitting less may reduce chronic disease burden in older adults. GDF‐15 Physical activity Sedentary behaviours Isotemporal substitution Older adults Diseases of the musculoskeletal system Human anatomy Esther García‐Esquinas verfasserin aut Antonio Buño‐Soto verfasserin aut Verónica Cabanas‐Sánchez verfasserin aut David Martínez‐Gómez verfasserin aut Mercedes Sotos‐Prieto verfasserin aut Ellen A. Struijk verfasserin aut Francisco Félix Caballero verfasserin aut Esther Lopez‐Garcia verfasserin aut José R. Banegas verfasserin aut Fernando Rodríguez‐Artalejo verfasserin aut In Journal of Cachexia, Sarcopenia and Muscle Wiley, 2016 13(2022), 2, Seite 1003-1012 (DE-627)642886121 (DE-600)2586864-0 21906009 nnns volume:13 year:2022 number:2 pages:1003-1012 https://doi.org/10.1002/jcsm.12924 kostenfrei https://doaj.org/article/ccbf1e3e86194df0a86a4a4702379122 kostenfrei https://doi.org/10.1002/jcsm.12924 kostenfrei https://doaj.org/toc/2190-5991 Journal toc kostenfrei https://doaj.org/toc/2190-6009 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 2 1003-1012 |
| allfieldsGer |
10.1002/jcsm.12924 doi (DE-627)DOAJ063992957 (DE-599)DOAJccbf1e3e86194df0a86a4a4702379122 DE-627 ger DE-627 rakwb eng RC925-935 QM1-695 Rosario Ortolá verfasserin aut Associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Growth differentiation factor 15 (GDF‐15) is a biomarker for chronic disease burden that might explain the health effects of sedentary behaviours (SBs) and physical activity (PA). We examined associations of device‐measured sleep, SB and PA, and time reallocations among them, with GDF‐15 in older adults. Methods We used data from 2245 older adults participating in the Seniors‐ENRICA‐2 study. Wrist‐worn accelerometers were employed to ascertain total time in sleep, SB, light PA (LPA) and moderate‐to vigorous PA (MVPA). Associations between these activities and serum GDF‐15 levels were analysed using linear regression, including isotemporal substitution models for time reallocations among activities, and adjusted for potential confounders. Analyses were conducted separately in two groups (less active and more active individuals) according to the median total PA time. Results In the less active participants, 30 min/day more of MVPA were related to lower levels of GDF‐15 when replacing sleep (fully adjusted mean percentage differences [95% confidence interval] in GDF‐15 of −9.2% [−13.2, −5.0]), SB (−9.8% [−13.6, −5.8]) and LPA (−5.8% [−11.1, −0.3]), whereas 30 min/day more of LPA were related to lower GDF‐15 when replacing both sleep (−3.6% [−6.1, −1.0]) and SB (−4.2% [−6.7, −1.7]). In the more active participants, 30 min/day more of MVPA were also associated with lower GDF‐15 when replacing sleep (−2.9% [−5.3, −0.3]), SB (−2.4% [−4.6, −0.2]) and LPA (−3.5% [−6.6, −0.3]), but no associations were found for more time in LPA. Spending more time in SB was associated with higher GDF‐15 levels only among those less active (1.9% [0.9, 2.9] per 30 min/day increment). Sleep time did not appear to be associated with GDF‐15. Conclusions The MVPA was inversely associated with GDF‐15, with stronger associations at lower PA volumes. Also, more LPA and less SB time were linked to lower GDF‐15 in the less active individuals. This suggests that simply moving more and sitting less may reduce chronic disease burden in older adults. GDF‐15 Physical activity Sedentary behaviours Isotemporal substitution Older adults Diseases of the musculoskeletal system Human anatomy Esther García‐Esquinas verfasserin aut Antonio Buño‐Soto verfasserin aut Verónica Cabanas‐Sánchez verfasserin aut David Martínez‐Gómez verfasserin aut Mercedes Sotos‐Prieto verfasserin aut Ellen A. Struijk verfasserin aut Francisco Félix Caballero verfasserin aut Esther Lopez‐Garcia verfasserin aut José R. Banegas verfasserin aut Fernando Rodríguez‐Artalejo verfasserin aut In Journal of Cachexia, Sarcopenia and Muscle Wiley, 2016 13(2022), 2, Seite 1003-1012 (DE-627)642886121 (DE-600)2586864-0 21906009 nnns volume:13 year:2022 number:2 pages:1003-1012 https://doi.org/10.1002/jcsm.12924 kostenfrei https://doaj.org/article/ccbf1e3e86194df0a86a4a4702379122 kostenfrei https://doi.org/10.1002/jcsm.12924 kostenfrei https://doaj.org/toc/2190-5991 Journal toc kostenfrei https://doaj.org/toc/2190-6009 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 2 1003-1012 |
| allfieldsSound |
10.1002/jcsm.12924 doi (DE-627)DOAJ063992957 (DE-599)DOAJccbf1e3e86194df0a86a4a4702379122 DE-627 ger DE-627 rakwb eng RC925-935 QM1-695 Rosario Ortolá verfasserin aut Associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Growth differentiation factor 15 (GDF‐15) is a biomarker for chronic disease burden that might explain the health effects of sedentary behaviours (SBs) and physical activity (PA). We examined associations of device‐measured sleep, SB and PA, and time reallocations among them, with GDF‐15 in older adults. Methods We used data from 2245 older adults participating in the Seniors‐ENRICA‐2 study. Wrist‐worn accelerometers were employed to ascertain total time in sleep, SB, light PA (LPA) and moderate‐to vigorous PA (MVPA). Associations between these activities and serum GDF‐15 levels were analysed using linear regression, including isotemporal substitution models for time reallocations among activities, and adjusted for potential confounders. Analyses were conducted separately in two groups (less active and more active individuals) according to the median total PA time. Results In the less active participants, 30 min/day more of MVPA were related to lower levels of GDF‐15 when replacing sleep (fully adjusted mean percentage differences [95% confidence interval] in GDF‐15 of −9.2% [−13.2, −5.0]), SB (−9.8% [−13.6, −5.8]) and LPA (−5.8% [−11.1, −0.3]), whereas 30 min/day more of LPA were related to lower GDF‐15 when replacing both sleep (−3.6% [−6.1, −1.0]) and SB (−4.2% [−6.7, −1.7]). In the more active participants, 30 min/day more of MVPA were also associated with lower GDF‐15 when replacing sleep (−2.9% [−5.3, −0.3]), SB (−2.4% [−4.6, −0.2]) and LPA (−3.5% [−6.6, −0.3]), but no associations were found for more time in LPA. Spending more time in SB was associated with higher GDF‐15 levels only among those less active (1.9% [0.9, 2.9] per 30 min/day increment). Sleep time did not appear to be associated with GDF‐15. Conclusions The MVPA was inversely associated with GDF‐15, with stronger associations at lower PA volumes. Also, more LPA and less SB time were linked to lower GDF‐15 in the less active individuals. This suggests that simply moving more and sitting less may reduce chronic disease burden in older adults. GDF‐15 Physical activity Sedentary behaviours Isotemporal substitution Older adults Diseases of the musculoskeletal system Human anatomy Esther García‐Esquinas verfasserin aut Antonio Buño‐Soto verfasserin aut Verónica Cabanas‐Sánchez verfasserin aut David Martínez‐Gómez verfasserin aut Mercedes Sotos‐Prieto verfasserin aut Ellen A. Struijk verfasserin aut Francisco Félix Caballero verfasserin aut Esther Lopez‐Garcia verfasserin aut José R. Banegas verfasserin aut Fernando Rodríguez‐Artalejo verfasserin aut In Journal of Cachexia, Sarcopenia and Muscle Wiley, 2016 13(2022), 2, Seite 1003-1012 (DE-627)642886121 (DE-600)2586864-0 21906009 nnns volume:13 year:2022 number:2 pages:1003-1012 https://doi.org/10.1002/jcsm.12924 kostenfrei https://doaj.org/article/ccbf1e3e86194df0a86a4a4702379122 kostenfrei https://doi.org/10.1002/jcsm.12924 kostenfrei https://doaj.org/toc/2190-5991 Journal toc kostenfrei https://doaj.org/toc/2190-6009 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2022 2 1003-1012 |
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In Journal of Cachexia, Sarcopenia and Muscle 13(2022), 2, Seite 1003-1012 volume:13 year:2022 number:2 pages:1003-1012 |
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GDF‐15 Physical activity Sedentary behaviours Isotemporal substitution Older adults Diseases of the musculoskeletal system Human anatomy |
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Rosario Ortolá @@aut@@ Esther García‐Esquinas @@aut@@ Antonio Buño‐Soto @@aut@@ Verónica Cabanas‐Sánchez @@aut@@ David Martínez‐Gómez @@aut@@ Mercedes Sotos‐Prieto @@aut@@ Ellen A. Struijk @@aut@@ Francisco Félix Caballero @@aut@@ Esther Lopez‐Garcia @@aut@@ José R. Banegas @@aut@@ Fernando Rodríguez‐Artalejo @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ063992957</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230309033835.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1002/jcsm.12924</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ063992957</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJccbf1e3e86194df0a86a4a4702379122</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC925-935</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QM1-695</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Rosario Ortolá</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Background Growth differentiation factor 15 (GDF‐15) is a biomarker for chronic disease burden that might explain the health effects of sedentary behaviours (SBs) and physical activity (PA). We examined associations of device‐measured sleep, SB and PA, and time reallocations among them, with GDF‐15 in older adults. Methods We used data from 2245 older adults participating in the Seniors‐ENRICA‐2 study. Wrist‐worn accelerometers were employed to ascertain total time in sleep, SB, light PA (LPA) and moderate‐to vigorous PA (MVPA). Associations between these activities and serum GDF‐15 levels were analysed using linear regression, including isotemporal substitution models for time reallocations among activities, and adjusted for potential confounders. Analyses were conducted separately in two groups (less active and more active individuals) according to the median total PA time. Results In the less active participants, 30 min/day more of MVPA were related to lower levels of GDF‐15 when replacing sleep (fully adjusted mean percentage differences [95% confidence interval] in GDF‐15 of −9.2% [−13.2, −5.0]), SB (−9.8% [−13.6, −5.8]) and LPA (−5.8% [−11.1, −0.3]), whereas 30 min/day more of LPA were related to lower GDF‐15 when replacing both sleep (−3.6% [−6.1, −1.0]) and SB (−4.2% [−6.7, −1.7]). In the more active participants, 30 min/day more of MVPA were also associated with lower GDF‐15 when replacing sleep (−2.9% [−5.3, −0.3]), SB (−2.4% [−4.6, −0.2]) and LPA (−3.5% [−6.6, −0.3]), but no associations were found for more time in LPA. Spending more time in SB was associated with higher GDF‐15 levels only among those less active (1.9% [0.9, 2.9] per 30 min/day increment). Sleep time did not appear to be associated with GDF‐15. Conclusions The MVPA was inversely associated with GDF‐15, with stronger associations at lower PA volumes. 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Rosario Ortolá |
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Rosario Ortolá misc RC925-935 misc QM1-695 misc GDF‐15 misc Physical activity misc Sedentary behaviours misc Isotemporal substitution misc Older adults misc Diseases of the musculoskeletal system misc Human anatomy Associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults |
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RC925-935 QM1-695 Associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults GDF‐15 Physical activity Sedentary behaviours Isotemporal substitution Older adults |
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Associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults |
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Rosario Ortolá |
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Journal of Cachexia, Sarcopenia and Muscle |
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Rosario Ortolá Esther García‐Esquinas Antonio Buño‐Soto Verónica Cabanas‐Sánchez David Martínez‐Gómez Mercedes Sotos‐Prieto Ellen A. Struijk Francisco Félix Caballero Esther Lopez‐Garcia José R. Banegas Fernando Rodríguez‐Artalejo |
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associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults |
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Associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults |
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Abstract Background Growth differentiation factor 15 (GDF‐15) is a biomarker for chronic disease burden that might explain the health effects of sedentary behaviours (SBs) and physical activity (PA). We examined associations of device‐measured sleep, SB and PA, and time reallocations among them, with GDF‐15 in older adults. Methods We used data from 2245 older adults participating in the Seniors‐ENRICA‐2 study. Wrist‐worn accelerometers were employed to ascertain total time in sleep, SB, light PA (LPA) and moderate‐to vigorous PA (MVPA). Associations between these activities and serum GDF‐15 levels were analysed using linear regression, including isotemporal substitution models for time reallocations among activities, and adjusted for potential confounders. Analyses were conducted separately in two groups (less active and more active individuals) according to the median total PA time. Results In the less active participants, 30 min/day more of MVPA were related to lower levels of GDF‐15 when replacing sleep (fully adjusted mean percentage differences [95% confidence interval] in GDF‐15 of −9.2% [−13.2, −5.0]), SB (−9.8% [−13.6, −5.8]) and LPA (−5.8% [−11.1, −0.3]), whereas 30 min/day more of LPA were related to lower GDF‐15 when replacing both sleep (−3.6% [−6.1, −1.0]) and SB (−4.2% [−6.7, −1.7]). In the more active participants, 30 min/day more of MVPA were also associated with lower GDF‐15 when replacing sleep (−2.9% [−5.3, −0.3]), SB (−2.4% [−4.6, −0.2]) and LPA (−3.5% [−6.6, −0.3]), but no associations were found for more time in LPA. Spending more time in SB was associated with higher GDF‐15 levels only among those less active (1.9% [0.9, 2.9] per 30 min/day increment). Sleep time did not appear to be associated with GDF‐15. Conclusions The MVPA was inversely associated with GDF‐15, with stronger associations at lower PA volumes. Also, more LPA and less SB time were linked to lower GDF‐15 in the less active individuals. This suggests that simply moving more and sitting less may reduce chronic disease burden in older adults. |
| abstractGer |
Abstract Background Growth differentiation factor 15 (GDF‐15) is a biomarker for chronic disease burden that might explain the health effects of sedentary behaviours (SBs) and physical activity (PA). We examined associations of device‐measured sleep, SB and PA, and time reallocations among them, with GDF‐15 in older adults. Methods We used data from 2245 older adults participating in the Seniors‐ENRICA‐2 study. Wrist‐worn accelerometers were employed to ascertain total time in sleep, SB, light PA (LPA) and moderate‐to vigorous PA (MVPA). Associations between these activities and serum GDF‐15 levels were analysed using linear regression, including isotemporal substitution models for time reallocations among activities, and adjusted for potential confounders. Analyses were conducted separately in two groups (less active and more active individuals) according to the median total PA time. Results In the less active participants, 30 min/day more of MVPA were related to lower levels of GDF‐15 when replacing sleep (fully adjusted mean percentage differences [95% confidence interval] in GDF‐15 of −9.2% [−13.2, −5.0]), SB (−9.8% [−13.6, −5.8]) and LPA (−5.8% [−11.1, −0.3]), whereas 30 min/day more of LPA were related to lower GDF‐15 when replacing both sleep (−3.6% [−6.1, −1.0]) and SB (−4.2% [−6.7, −1.7]). In the more active participants, 30 min/day more of MVPA were also associated with lower GDF‐15 when replacing sleep (−2.9% [−5.3, −0.3]), SB (−2.4% [−4.6, −0.2]) and LPA (−3.5% [−6.6, −0.3]), but no associations were found for more time in LPA. Spending more time in SB was associated with higher GDF‐15 levels only among those less active (1.9% [0.9, 2.9] per 30 min/day increment). Sleep time did not appear to be associated with GDF‐15. Conclusions The MVPA was inversely associated with GDF‐15, with stronger associations at lower PA volumes. Also, more LPA and less SB time were linked to lower GDF‐15 in the less active individuals. This suggests that simply moving more and sitting less may reduce chronic disease burden in older adults. |
| abstract_unstemmed |
Abstract Background Growth differentiation factor 15 (GDF‐15) is a biomarker for chronic disease burden that might explain the health effects of sedentary behaviours (SBs) and physical activity (PA). We examined associations of device‐measured sleep, SB and PA, and time reallocations among them, with GDF‐15 in older adults. Methods We used data from 2245 older adults participating in the Seniors‐ENRICA‐2 study. Wrist‐worn accelerometers were employed to ascertain total time in sleep, SB, light PA (LPA) and moderate‐to vigorous PA (MVPA). Associations between these activities and serum GDF‐15 levels were analysed using linear regression, including isotemporal substitution models for time reallocations among activities, and adjusted for potential confounders. Analyses were conducted separately in two groups (less active and more active individuals) according to the median total PA time. Results In the less active participants, 30 min/day more of MVPA were related to lower levels of GDF‐15 when replacing sleep (fully adjusted mean percentage differences [95% confidence interval] in GDF‐15 of −9.2% [−13.2, −5.0]), SB (−9.8% [−13.6, −5.8]) and LPA (−5.8% [−11.1, −0.3]), whereas 30 min/day more of LPA were related to lower GDF‐15 when replacing both sleep (−3.6% [−6.1, −1.0]) and SB (−4.2% [−6.7, −1.7]). In the more active participants, 30 min/day more of MVPA were also associated with lower GDF‐15 when replacing sleep (−2.9% [−5.3, −0.3]), SB (−2.4% [−4.6, −0.2]) and LPA (−3.5% [−6.6, −0.3]), but no associations were found for more time in LPA. Spending more time in SB was associated with higher GDF‐15 levels only among those less active (1.9% [0.9, 2.9] per 30 min/day increment). Sleep time did not appear to be associated with GDF‐15. Conclusions The MVPA was inversely associated with GDF‐15, with stronger associations at lower PA volumes. Also, more LPA and less SB time were linked to lower GDF‐15 in the less active individuals. This suggests that simply moving more and sitting less may reduce chronic disease burden in older adults. |
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Associations of device‐measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults |
| url |
https://doi.org/10.1002/jcsm.12924 https://doaj.org/article/ccbf1e3e86194df0a86a4a4702379122 https://doaj.org/toc/2190-5991 https://doaj.org/toc/2190-6009 |
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Esther García‐Esquinas Antonio Buño‐Soto Verónica Cabanas‐Sánchez David Martínez‐Gómez Mercedes Sotos‐Prieto Ellen A. Struijk Francisco Félix Caballero Esther Lopez‐Garcia José R. Banegas Fernando Rodríguez‐Artalejo |
| author2Str |
Esther García‐Esquinas Antonio Buño‐Soto Verónica Cabanas‐Sánchez David Martínez‐Gómez Mercedes Sotos‐Prieto Ellen A. Struijk Francisco Félix Caballero Esther Lopez‐Garcia José R. Banegas Fernando Rodríguez‐Artalejo |
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RC - Internal Medicine |
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| doi_str |
10.1002/jcsm.12924 |
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RC925-935 |
| up_date |
2024-07-03T20:37:17.187Z |
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1803591653458444288 |
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| score |
7.4014044 |