Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012–2015
Objectives The aim of this study was to determine the prevalence of Motoric Cognitive Risk (MCR) syndrome, describe associated risk factors and to determine the risk of progression to cognitive impairment after three years of follow-up, in a sample of Mexican older adults. Design A prospective panel...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Aguilar-Navarro, Sara G. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Anmerkung: |
© Serdi and Springer-Verlag International SAS, part of Springer Nature 2019 |
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| Übergeordnetes Werk: |
Enthalten in: The journal of nutrition, health & aging - Paris : Springer, 2004, 23(2019), 3 vom: 31. Jan., Seite 227-231 |
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| Übergeordnetes Werk: |
volume:23 ; year:2019 ; number:3 ; day:31 ; month:01 ; pages:227-231 |
| Links: |
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| DOI / URN: |
10.1007/s12603-019-1160-7 |
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| Katalog-ID: |
SPR026308002 |
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| 100 | 1 | |a Aguilar-Navarro, Sara G. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012–2015 |
| 264 | 1 | |c 2019 | |
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| 520 | |a Objectives The aim of this study was to determine the prevalence of Motoric Cognitive Risk (MCR) syndrome, describe associated risk factors and to determine the risk of progression to cognitive impairment after three years of follow-up, in a sample of Mexican older adults. Design A prospective panel study of health and aging in Mexico. Setting and participants Baseline and follow-up information was obtained from the Mexican Health and Aging Study’s 2012 and 2015 waves. A total of 726 subjects aged 60 years or older with normal cognition at baseline were classified into 4 groups: 1) with MCR, 2) with memory complaint only, 3) with slow gait speed only and, 4) without MCR. Cox regression analysis controlling for confounder factors was performed to determine the risk of progression to cognitive impairment in the MCR group. Measures Data such as gait speed, functional status and cognitive performance (standardized by age and sex in Mexican population) was collected. Results MCR prevalence was 14.3%. When compared with non-MCR subjects, the presence of MCR was associated with older age (p<0.01), lower educational status (p=0.05), having two or more comorbidities (p<0.05) and diabetes mellitus diagnosis (p<0.05). At follow-up and after adjusting for confounders, MCR was associated with a 2.4-fold increased risk (95% CI: 1.28-4.26, p=.000) of cognitive impairment. Conclusions MCR syndrome increases the risk of cognitive impairment in Mexican older adults. Simple measurements such as gait evaluation in subjects with memory complaints could allow early identification of those at risk of developing cognitive impairment. | ||
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| 700 | 1 | |a Juárez-Cedillo, T. |4 aut | |
| 700 | 1 | |a Mejía-Arango, S. |4 aut | |
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10.1007/s12603-019-1160-7 doi (DE-627)SPR026308002 (SPR)s12603-019-1160-7-e DE-627 ger DE-627 rakwb eng Aguilar-Navarro, Sara G. verfasserin aut Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012–2015 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Serdi and Springer-Verlag International SAS, part of Springer Nature 2019 Objectives The aim of this study was to determine the prevalence of Motoric Cognitive Risk (MCR) syndrome, describe associated risk factors and to determine the risk of progression to cognitive impairment after three years of follow-up, in a sample of Mexican older adults. Design A prospective panel study of health and aging in Mexico. Setting and participants Baseline and follow-up information was obtained from the Mexican Health and Aging Study’s 2012 and 2015 waves. A total of 726 subjects aged 60 years or older with normal cognition at baseline were classified into 4 groups: 1) with MCR, 2) with memory complaint only, 3) with slow gait speed only and, 4) without MCR. Cox regression analysis controlling for confounder factors was performed to determine the risk of progression to cognitive impairment in the MCR group. Measures Data such as gait speed, functional status and cognitive performance (standardized by age and sex in Mexican population) was collected. Results MCR prevalence was 14.3%. When compared with non-MCR subjects, the presence of MCR was associated with older age (p<0.01), lower educational status (p=0.05), having two or more comorbidities (p<0.05) and diabetes mellitus diagnosis (p<0.05). At follow-up and after adjusting for confounders, MCR was associated with a 2.4-fold increased risk (95% CI: 1.28-4.26, p=.000) of cognitive impairment. Conclusions MCR syndrome increases the risk of cognitive impairment in Mexican older adults. Simple measurements such as gait evaluation in subjects with memory complaints could allow early identification of those at risk of developing cognitive impairment. Mimenza-Alvarado, A. J. aut Aguilar-Esquivel, J. E. aut Yeverino-Castro, S. G. aut Juárez-Cedillo, T. aut Mejía-Arango, S. aut Enthalten in The journal of nutrition, health & aging Paris : Springer, 2004 23(2019), 3 vom: 31. Jan., Seite 227-231 (DE-627)350261369 (DE-600)2082520-1 1760-4788 nnns volume:23 year:2019 number:3 day:31 month:01 pages:227-231 https://dx.doi.org/10.1007/s12603-019-1160-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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_4246 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_4393 GBV_ILN_4700 AR 23 2019 3 31 01 227-231 |
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10.1007/s12603-019-1160-7 doi (DE-627)SPR026308002 (SPR)s12603-019-1160-7-e DE-627 ger DE-627 rakwb eng Aguilar-Navarro, Sara G. verfasserin aut Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012–2015 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Serdi and Springer-Verlag International SAS, part of Springer Nature 2019 Objectives The aim of this study was to determine the prevalence of Motoric Cognitive Risk (MCR) syndrome, describe associated risk factors and to determine the risk of progression to cognitive impairment after three years of follow-up, in a sample of Mexican older adults. Design A prospective panel study of health and aging in Mexico. Setting and participants Baseline and follow-up information was obtained from the Mexican Health and Aging Study’s 2012 and 2015 waves. A total of 726 subjects aged 60 years or older with normal cognition at baseline were classified into 4 groups: 1) with MCR, 2) with memory complaint only, 3) with slow gait speed only and, 4) without MCR. Cox regression analysis controlling for confounder factors was performed to determine the risk of progression to cognitive impairment in the MCR group. Measures Data such as gait speed, functional status and cognitive performance (standardized by age and sex in Mexican population) was collected. Results MCR prevalence was 14.3%. When compared with non-MCR subjects, the presence of MCR was associated with older age (p<0.01), lower educational status (p=0.05), having two or more comorbidities (p<0.05) and diabetes mellitus diagnosis (p<0.05). At follow-up and after adjusting for confounders, MCR was associated with a 2.4-fold increased risk (95% CI: 1.28-4.26, p=.000) of cognitive impairment. Conclusions MCR syndrome increases the risk of cognitive impairment in Mexican older adults. Simple measurements such as gait evaluation in subjects with memory complaints could allow early identification of those at risk of developing cognitive impairment. Mimenza-Alvarado, A. J. aut Aguilar-Esquivel, J. E. aut Yeverino-Castro, S. G. aut Juárez-Cedillo, T. aut Mejía-Arango, S. aut Enthalten in The journal of nutrition, health & aging Paris : Springer, 2004 23(2019), 3 vom: 31. Jan., Seite 227-231 (DE-627)350261369 (DE-600)2082520-1 1760-4788 nnns volume:23 year:2019 number:3 day:31 month:01 pages:227-231 https://dx.doi.org/10.1007/s12603-019-1160-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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_4246 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_4393 GBV_ILN_4700 AR 23 2019 3 31 01 227-231 |
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10.1007/s12603-019-1160-7 doi (DE-627)SPR026308002 (SPR)s12603-019-1160-7-e DE-627 ger DE-627 rakwb eng Aguilar-Navarro, Sara G. verfasserin aut Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012–2015 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Serdi and Springer-Verlag International SAS, part of Springer Nature 2019 Objectives The aim of this study was to determine the prevalence of Motoric Cognitive Risk (MCR) syndrome, describe associated risk factors and to determine the risk of progression to cognitive impairment after three years of follow-up, in a sample of Mexican older adults. Design A prospective panel study of health and aging in Mexico. Setting and participants Baseline and follow-up information was obtained from the Mexican Health and Aging Study’s 2012 and 2015 waves. A total of 726 subjects aged 60 years or older with normal cognition at baseline were classified into 4 groups: 1) with MCR, 2) with memory complaint only, 3) with slow gait speed only and, 4) without MCR. Cox regression analysis controlling for confounder factors was performed to determine the risk of progression to cognitive impairment in the MCR group. Measures Data such as gait speed, functional status and cognitive performance (standardized by age and sex in Mexican population) was collected. Results MCR prevalence was 14.3%. When compared with non-MCR subjects, the presence of MCR was associated with older age (p<0.01), lower educational status (p=0.05), having two or more comorbidities (p<0.05) and diabetes mellitus diagnosis (p<0.05). At follow-up and after adjusting for confounders, MCR was associated with a 2.4-fold increased risk (95% CI: 1.28-4.26, p=.000) of cognitive impairment. Conclusions MCR syndrome increases the risk of cognitive impairment in Mexican older adults. Simple measurements such as gait evaluation in subjects with memory complaints could allow early identification of those at risk of developing cognitive impairment. Mimenza-Alvarado, A. J. aut Aguilar-Esquivel, J. E. aut Yeverino-Castro, S. G. aut Juárez-Cedillo, T. aut Mejía-Arango, S. aut Enthalten in The journal of nutrition, health & aging Paris : Springer, 2004 23(2019), 3 vom: 31. Jan., Seite 227-231 (DE-627)350261369 (DE-600)2082520-1 1760-4788 nnns volume:23 year:2019 number:3 day:31 month:01 pages:227-231 https://dx.doi.org/10.1007/s12603-019-1160-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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_4246 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_4393 GBV_ILN_4700 AR 23 2019 3 31 01 227-231 |
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10.1007/s12603-019-1160-7 doi (DE-627)SPR026308002 (SPR)s12603-019-1160-7-e DE-627 ger DE-627 rakwb eng Aguilar-Navarro, Sara G. verfasserin aut Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012–2015 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Serdi and Springer-Verlag International SAS, part of Springer Nature 2019 Objectives The aim of this study was to determine the prevalence of Motoric Cognitive Risk (MCR) syndrome, describe associated risk factors and to determine the risk of progression to cognitive impairment after three years of follow-up, in a sample of Mexican older adults. Design A prospective panel study of health and aging in Mexico. Setting and participants Baseline and follow-up information was obtained from the Mexican Health and Aging Study’s 2012 and 2015 waves. A total of 726 subjects aged 60 years or older with normal cognition at baseline were classified into 4 groups: 1) with MCR, 2) with memory complaint only, 3) with slow gait speed only and, 4) without MCR. Cox regression analysis controlling for confounder factors was performed to determine the risk of progression to cognitive impairment in the MCR group. Measures Data such as gait speed, functional status and cognitive performance (standardized by age and sex in Mexican population) was collected. Results MCR prevalence was 14.3%. When compared with non-MCR subjects, the presence of MCR was associated with older age (p<0.01), lower educational status (p=0.05), having two or more comorbidities (p<0.05) and diabetes mellitus diagnosis (p<0.05). At follow-up and after adjusting for confounders, MCR was associated with a 2.4-fold increased risk (95% CI: 1.28-4.26, p=.000) of cognitive impairment. Conclusions MCR syndrome increases the risk of cognitive impairment in Mexican older adults. Simple measurements such as gait evaluation in subjects with memory complaints could allow early identification of those at risk of developing cognitive impairment. Mimenza-Alvarado, A. J. aut Aguilar-Esquivel, J. E. aut Yeverino-Castro, S. G. aut Juárez-Cedillo, T. aut Mejía-Arango, S. aut Enthalten in The journal of nutrition, health & aging Paris : Springer, 2004 23(2019), 3 vom: 31. Jan., Seite 227-231 (DE-627)350261369 (DE-600)2082520-1 1760-4788 nnns volume:23 year:2019 number:3 day:31 month:01 pages:227-231 https://dx.doi.org/10.1007/s12603-019-1160-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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_4246 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_4393 GBV_ILN_4700 AR 23 2019 3 31 01 227-231 |
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10.1007/s12603-019-1160-7 doi (DE-627)SPR026308002 (SPR)s12603-019-1160-7-e DE-627 ger DE-627 rakwb eng Aguilar-Navarro, Sara G. verfasserin aut Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012–2015 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Serdi and Springer-Verlag International SAS, part of Springer Nature 2019 Objectives The aim of this study was to determine the prevalence of Motoric Cognitive Risk (MCR) syndrome, describe associated risk factors and to determine the risk of progression to cognitive impairment after three years of follow-up, in a sample of Mexican older adults. Design A prospective panel study of health and aging in Mexico. Setting and participants Baseline and follow-up information was obtained from the Mexican Health and Aging Study’s 2012 and 2015 waves. A total of 726 subjects aged 60 years or older with normal cognition at baseline were classified into 4 groups: 1) with MCR, 2) with memory complaint only, 3) with slow gait speed only and, 4) without MCR. Cox regression analysis controlling for confounder factors was performed to determine the risk of progression to cognitive impairment in the MCR group. Measures Data such as gait speed, functional status and cognitive performance (standardized by age and sex in Mexican population) was collected. Results MCR prevalence was 14.3%. When compared with non-MCR subjects, the presence of MCR was associated with older age (p<0.01), lower educational status (p=0.05), having two or more comorbidities (p<0.05) and diabetes mellitus diagnosis (p<0.05). At follow-up and after adjusting for confounders, MCR was associated with a 2.4-fold increased risk (95% CI: 1.28-4.26, p=.000) of cognitive impairment. Conclusions MCR syndrome increases the risk of cognitive impairment in Mexican older adults. Simple measurements such as gait evaluation in subjects with memory complaints could allow early identification of those at risk of developing cognitive impairment. Mimenza-Alvarado, A. J. aut Aguilar-Esquivel, J. E. aut Yeverino-Castro, S. G. aut Juárez-Cedillo, T. aut Mejía-Arango, S. aut Enthalten in The journal of nutrition, health & aging Paris : Springer, 2004 23(2019), 3 vom: 31. Jan., Seite 227-231 (DE-627)350261369 (DE-600)2082520-1 1760-4788 nnns volume:23 year:2019 number:3 day:31 month:01 pages:227-231 https://dx.doi.org/10.1007/s12603-019-1160-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 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_4246 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_4393 GBV_ILN_4700 AR 23 2019 3 31 01 227-231 |
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Aguilar-Navarro, Sara G. @@aut@@ Mimenza-Alvarado, A. J. @@aut@@ Aguilar-Esquivel, J. E. @@aut@@ Yeverino-Castro, S. G. @@aut@@ Juárez-Cedillo, T. @@aut@@ Mejía-Arango, S. @@aut@@ |
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Design A prospective panel study of health and aging in Mexico. Setting and participants Baseline and follow-up information was obtained from the Mexican Health and Aging Study’s 2012 and 2015 waves. A total of 726 subjects aged 60 years or older with normal cognition at baseline were classified into 4 groups: 1) with MCR, 2) with memory complaint only, 3) with slow gait speed only and, 4) without MCR. Cox regression analysis controlling for confounder factors was performed to determine the risk of progression to cognitive impairment in the MCR group. Measures Data such as gait speed, functional status and cognitive performance (standardized by age and sex in Mexican population) was collected. Results MCR prevalence was 14.3%. When compared with non-MCR subjects, the presence of MCR was associated with older age (p<0.01), lower educational status (p=0.05), having two or more comorbidities (p<0.05) and diabetes mellitus diagnosis (p<0.05). 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Aguilar-Navarro, Sara G. |
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Aguilar-Navarro, Sara G. Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012–2015 |
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Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012–2015 |
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Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012–2015 |
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Aguilar-Navarro, Sara G. Mimenza-Alvarado, A. J. Aguilar-Esquivel, J. E. Yeverino-Castro, S. G. Juárez-Cedillo, T. Mejía-Arango, S. |
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motoric cognitive risk syndrome: prevalence and risk of cognitive impairment in a population studied in the mexican health and aging study 2012–2015 |
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Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012–2015 |
| abstract |
Objectives The aim of this study was to determine the prevalence of Motoric Cognitive Risk (MCR) syndrome, describe associated risk factors and to determine the risk of progression to cognitive impairment after three years of follow-up, in a sample of Mexican older adults. Design A prospective panel study of health and aging in Mexico. Setting and participants Baseline and follow-up information was obtained from the Mexican Health and Aging Study’s 2012 and 2015 waves. A total of 726 subjects aged 60 years or older with normal cognition at baseline were classified into 4 groups: 1) with MCR, 2) with memory complaint only, 3) with slow gait speed only and, 4) without MCR. Cox regression analysis controlling for confounder factors was performed to determine the risk of progression to cognitive impairment in the MCR group. Measures Data such as gait speed, functional status and cognitive performance (standardized by age and sex in Mexican population) was collected. Results MCR prevalence was 14.3%. When compared with non-MCR subjects, the presence of MCR was associated with older age (p<0.01), lower educational status (p=0.05), having two or more comorbidities (p<0.05) and diabetes mellitus diagnosis (p<0.05). At follow-up and after adjusting for confounders, MCR was associated with a 2.4-fold increased risk (95% CI: 1.28-4.26, p=.000) of cognitive impairment. Conclusions MCR syndrome increases the risk of cognitive impairment in Mexican older adults. Simple measurements such as gait evaluation in subjects with memory complaints could allow early identification of those at risk of developing cognitive impairment. © Serdi and Springer-Verlag International SAS, part of Springer Nature 2019 |
| abstractGer |
Objectives The aim of this study was to determine the prevalence of Motoric Cognitive Risk (MCR) syndrome, describe associated risk factors and to determine the risk of progression to cognitive impairment after three years of follow-up, in a sample of Mexican older adults. Design A prospective panel study of health and aging in Mexico. Setting and participants Baseline and follow-up information was obtained from the Mexican Health and Aging Study’s 2012 and 2015 waves. A total of 726 subjects aged 60 years or older with normal cognition at baseline were classified into 4 groups: 1) with MCR, 2) with memory complaint only, 3) with slow gait speed only and, 4) without MCR. Cox regression analysis controlling for confounder factors was performed to determine the risk of progression to cognitive impairment in the MCR group. Measures Data such as gait speed, functional status and cognitive performance (standardized by age and sex in Mexican population) was collected. Results MCR prevalence was 14.3%. When compared with non-MCR subjects, the presence of MCR was associated with older age (p<0.01), lower educational status (p=0.05), having two or more comorbidities (p<0.05) and diabetes mellitus diagnosis (p<0.05). At follow-up and after adjusting for confounders, MCR was associated with a 2.4-fold increased risk (95% CI: 1.28-4.26, p=.000) of cognitive impairment. Conclusions MCR syndrome increases the risk of cognitive impairment in Mexican older adults. Simple measurements such as gait evaluation in subjects with memory complaints could allow early identification of those at risk of developing cognitive impairment. © Serdi and Springer-Verlag International SAS, part of Springer Nature 2019 |
| abstract_unstemmed |
Objectives The aim of this study was to determine the prevalence of Motoric Cognitive Risk (MCR) syndrome, describe associated risk factors and to determine the risk of progression to cognitive impairment after three years of follow-up, in a sample of Mexican older adults. Design A prospective panel study of health and aging in Mexico. Setting and participants Baseline and follow-up information was obtained from the Mexican Health and Aging Study’s 2012 and 2015 waves. A total of 726 subjects aged 60 years or older with normal cognition at baseline were classified into 4 groups: 1) with MCR, 2) with memory complaint only, 3) with slow gait speed only and, 4) without MCR. Cox regression analysis controlling for confounder factors was performed to determine the risk of progression to cognitive impairment in the MCR group. Measures Data such as gait speed, functional status and cognitive performance (standardized by age and sex in Mexican population) was collected. Results MCR prevalence was 14.3%. When compared with non-MCR subjects, the presence of MCR was associated with older age (p<0.01), lower educational status (p=0.05), having two or more comorbidities (p<0.05) and diabetes mellitus diagnosis (p<0.05). At follow-up and after adjusting for confounders, MCR was associated with a 2.4-fold increased risk (95% CI: 1.28-4.26, p=.000) of cognitive impairment. Conclusions MCR syndrome increases the risk of cognitive impairment in Mexican older adults. Simple measurements such as gait evaluation in subjects with memory complaints could allow early identification of those at risk of developing cognitive impairment. © Serdi and Springer-Verlag International SAS, part of Springer Nature 2019 |
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Motoric Cognitive Risk Syndrome: Prevalence and Risk of Cognitive Impairment in a Population Studied in the Mexican Health and Aging Study 2012–2015 |
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Mimenza-Alvarado, A. J. Aguilar-Esquivel, J. E. Yeverino-Castro, S. G. Juárez-Cedillo, T. Mejía-Arango, S. |
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Mimenza-Alvarado, A. J. Aguilar-Esquivel, J. E. Yeverino-Castro, S. G. Juárez-Cedillo, T. Mejía-Arango, S. |
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|
| score |
7.401 |