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 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.

Factores asociados a la demencia mixta en comparación con demencia tipo Alzheimer en adultos mayores mexicanos / Factors associated with mixed dementia vs Alzheimer disease in elderly Mexican adults

Introducción: El concepto de demencia mixta (DMix) se refiere a la demencia por enfermedad de Alzheimer (EA) y la presencia de enfermedad vascular cerebral (EVC). El objetivo del estudio fue identificar los factores clínicos e imagenológicos asociados a la DMix en comparación con la enfermedad de Alzheimer. Material y métodos: Estudio transversal que incluyó a 225 sujetos de 65 años y más, en la clínica de memoria de un hospital de tercer nivel de la Ciudad de México. A todos los pacientes se les realizó una evaluación clínica, neuropsicológica y una imagen cerebral. Se incluyó a pacientes con diagnóstico de DMix y EA. Se realizó un análisis multivariado para determinar factores de asociación a la DMix. Resultados: Se estudió a 137 sujetos con DMix. En comparación con los pacientes con EA, en los pacientes con DMix los factores asociados fueron mayor edad, diabetes, hipertensión y dislipidemia, así como antecedente de EVC, p < 0,05. El análisis multivariado mostró que la hipertensión (OR 1,92, IC: 1,.62-28.82, p < 0,05), la enfermedad de sustancia blanca (OR 3,61, IC: 8,55-159,80, p < 0,05) e infartos lacunares (OR 3,35, IC: 1,97-412,34, p < 0,05) estuvieron asociados a la DMix, mientras que la historia de depresión resuelta tuvo una asociación inversa (OR 0,11, IC: 0,02-0,47, p < 0,05). Conclusiones: La DMix podría ser más frecuente que la EA. Factores de riesgo como la edad avanzada y otros potencialmente modificables se relacionaron con esta forma de demencia. Es necesario conocer y definir a la DMix (AU)

Introduction: Mixed dementia (DMix) refers to dementia resulting from Alzheimer disease in addition to cerebrovascular disease. The study objectives were to determine the clinical and imaging factors associated with Dmix and compare them to those associated with Alzheimer disease. Material and methods: Cross-sectional study including 225 subjects aged 65 years and over from a memory clinic in a tertiary hospital in Mexico City. All patients underwent clinical, neuropsychological, and brain imaging studies. We included patients diagnosed with DMix or Alzheimer disease (AD). A multivariate analysis was used to determine factors associated with DMix. Results: We studied 137 subjects diagnosed with Dmix. Compared to patients with AD, Dmix patients were older and more likely to present diabetes, hypertension, dyslipidaemia, and history of cerebrovascular disease (P < .05). The multivariate analysis showed that hypertension (OR 1.92, CI 1.62-28.82; P = .009), white matter disease (OR 3.61, CI 8.55-159.80; P<.001), and lacunar infarcts (OR 3.35, CI 1.97-412.34; P = .014) were associated with Dmix, whereas a history of successfully treated depression showed an inverse association (OR 0.11, CI 0.02-0-47; P = .004) Conclusions: DMix may be more frequent than AD. Risk factors such as advanced age and other potentially modifiable factors were associated with this type of dementia. Clinicians should understand and be able to define Dmix (AU)

Successful Aging, a New Challenge for Developing Countries: The Coyoacán Cohort.

OBJECTIVE: To determine the socio-demographic and health factors associated with a biomedical phenotype of successful aging (SA) among Mexican community-dwelling elderly. DESIGN, SETTING AND PARTICIPANTS: Cross-sectional study of 935 older adults aged 70 or older participating in the Mexican Study of Nutritional and Psychosocial Markers of Frailty. MEASUREMENTS: SA was operationalized in accordance with the phenotype proposed by Rowe and Kahn. Univariate and multivariate logistic regression analyses were carried out in order to identify the correlates of SA. RESULTS: The phenotype of SA was present in 10% of participants. Age (P < 0.001), illiteracy (P = 0.021), polypharmacy (P < 0.001), and physical pain (P < 0.001) were factors independently and inversely associated with the presence of the SA phenotype. The only variable positively associated with SA was good self-perceived health-status (P < 0.001). CONCLUSION: Although age is not modifiable, several other factors associated with SA are. If we are to promote SA, efforts should be made towards improving those modifiable factors negatively associated with its presence, such as pain or polypharmacy. Also, enhancing factors positively associated to it might play a role in improving wellbeing.

Factors associated with mixed dementia vs Alzheimer disease in elderly Mexican adults. / Factores asociados a la demencia mixta en comparación con demencia tipo Alzheimer en adultos mayores mexicanos.

INTRODUCTION: Mixed dementia (DMix) refers to dementia resulting from Alzheimer disease in addition to cerebrovascular disease. The study objectives were to determine the clinical and imaging factors associated with Dmix and compare them to those associated with Alzheimer disease. MATERIAL AND METHODS: Cross-sectional study including 225 subjects aged 65 years and over from a memory clinic in a tertiary hospital in Mexico City. All patients underwent clinical, neuropsychological, and brain imaging studies. We included patients diagnosed with DMix or Alzheimer disease (AD). A multivariate analysis was used to determine factors associated with DMix. RESULTS: We studied 137 subjects diagnosed with Dmix. Compared to patients with AD, Dmix patients were older and more likely to present diabetes, hypertension, dyslipidaemia, and history of cerebrovascular disease (P<.05). The multivariate analysis showed that hypertension (OR 1.92, CI 1.62-28.82; P=.009), white matter disease (OR 3.61, CI 8.55-159.80; P<.001), and lacunar infarcts (OR 3.35, CI 1.97-412.34; P=.014) were associated with Dmix, whereas a history of successfully treated depression showed an inverse association (OR 0.11, CI 0.02-0-47; P=.004) CONCLUSIONS: DMix may be more frequent than AD. Risk factors such as advanced age and other potentially modifiable factors were associated with this type of dementia. Clinicians should understand and be able to define Dmix.

Frailty Is Associated with Disability and Recent Hospitalization in Community-Dwelling Elderly: The Coyoacan Cohort.

BACKGROUND: The phenotype of frailty proposed by Fried et al has shown to predict several adverse health-related outcomes in elderly populations worldwide; however, the description of such associations in Latin America is still scarce. OBJECTIVE: To describe the association between frailty and recent hospitalization, disability for basic (ADL) and instrumental activities of daily living (IADL). DESIGN, SETTING AND PARTICIPANTS: Cross-sectional study of 1,124 community-dwelling adults aged 70 and older participating in the Coyoacán cohort. MEASUREMENTS: Frailty was defined by the presence of at least three of the following criteria: weight loss, exhaustion, low physical activity, slowness, and weakness. Multiple regression analyses were used to test the association between frailty and the outcomes of interest, adjusting for potential confounders. RESULTS: Mean age was 78.2 (SD ±6.1) years. Prevalence of frailty was 14.1%. Adjusted multivariate models showed that frail status was associated with ADL disability (OR 3.06, 95%CI 1.52-6.17), IADL disability (OR 17.02, 95%CI 6.16-47.01), and recent hospitalization (OR 3.21, 95%CI 1.31-7.8). CONCLUSION: Among Mexican community-dwelling elderly, frailty is associated with ADL and IADL disability as well as with recent hospitalizations. Moreover, frailty's prevalence in this population appears to be greater compared to what has been reported elsewhere. Social and cultural traits should be further studied as correlates of frailty in diverse populations.

Association between Self-Reported Health Status and Frailty in Community-Dwelling Elderly.

BACKGROUND: The phenotype of frailty proposed by Fried et al. has been related with increased vulnerability for the development of adverse health-related outcomes. However, this phenotype is not often used in daily clinical practice. On the other hand, poor self-reported health status (SRHS) has been associated with similar adverse health-related outcomes. OBJECTIVES: To determine the association between poor SRHS and frailty. DESIGN, SETTING AND PARTICIPANTS: Cross-sectional study of 927 community-dwelling elderly aged 70 and older, participating in the Mexican Study of Nutritional and Psychosocial Markers of Frailty. MEASUREMENTS: SRHS was established by the question "How do you rate your health status in general?" Frailty was defined according to the phenotype proposed by Fried et al. The association between SRHS and frailty was determined through the construction of multinomial logistic regression models. Final analyses were adjusted by socio-demographic and health covariates, including depressive symptoms. Also, agreement between SRHS and the phenotype of frailty was explored. RESULTS: Prevalence of frailty was 14.1%, and 4.4% of participants rated their health status as "poor". The unadjusted regression analyses demonstrated that fair and poor SRHS were significantly associated with prefrail and frail status. After adjustment for multiple covariates, the association remained statistically significant. However, in the final adjustment for depressive symptoms, only the association between poor SRHS and frail status continued to be statistically significant. Fair agreement between poor SRHS and frail status was also found. CONCLUSION: Poor SRHS shares common correlates as well as health-related adverse outcomes with frailty syndrome, and remains associated with it even when possible confounders are taken into account. Therefore, poor SRHS could be further explored as an option for frailty syndrome screening.

The Phenotype of Frailty and Health-Related Quality of Life.

BACKGROUND: Frailty is a multidimensional problem in the elderly, but there is little information about its implications on health-related quality of life (HRQoL). OBJECTIVES: To determine the association between frailty and HRQoL as well as the association between each component of the phenotype of frailty and the physical (PCS) and mental (MCS) components summaries of QoL. DESIGN, SETTING AND PARTICIPANTS: Cross-sectional study of 496 community-dwelling elderly aged 70 and older, participating in the Mexican Study of Nutritional and Psychosocial Markers of Frailty. MEASUREMENTS: Frailty was defined by the presence of at least three of the following criteria: weight loss, exhaustion, low physical activity, slowness, and weakness. QoL and both of its components were assessed through the SF-36. The association of each component of frailty with the PCS and the MCS of QoL was determined through the construction of multivariate lineal regression models. Final analyses were adjusted by socio-demographic characteristics and by the remaining four components of frailty as covariates. RESULTS: Mean age of participants was 78.0 (SD ± 6.2), 49.4% were women, and 12.7% were frail. Multivariate lineal regression analysis showed that frail and prefrail participants had lower scores for the PCS (P < .001) and the MCS (P < .001) of QoL in comparison with non-frail subjects. Weight loss (P < .001) and exhaustion (P < .001) had an independent inverse association with the MCS of QoL while gait speed (P < .001) and grip strength (P < .001) were also inversely associated with the PCS score. CONCLUSION: Frailty is independently associated with lower scores in the MCS and the PCS of QoL. The finding that different components of frailty were associated with both dimensions of QoL reflects the need for individualized treatment of frail elderly.

The Coyoacán Cohort Study: Design, Methodology, and Participants' Characteristics of a Mexican Study on Nutritional and Psychosocial Markers of Frailty.

BACKGROUND: "Frailty" has emerged as a condition associated with an increased risk of functional decline among the elderly, which may be differentiated from aging, disability, and co-morbidities. OBJECTIVE: The Mexican Study of Nutritional and Psychosocial Markers of Frailty among Community-Dwelling Elderly has emerged to help answer many questions about frailty among the older adults. This report presents the design of the study and baseline data of its participants. DESIGN: The "Coyoacan cohort" is a longitudinal observational study developed in Mexico City. PARTICIPANTS: A representative sample of 1,294 non-institutionalized men and women aged 70 years and older were randomly recruited to undergo a face-to-face interview and a comprehensive geriatric assessment (including clinical evaluations and blood samples) between 2008 and 2009. MEASUREMENTS: Data collected included socio-demographic and economic characteristics, medical history, oral health, drug use, cognitive function and mood, nutritional status, physical performance and functional status, physical activity, quality of life, social networks, and biological data. Frailty was defined as the presence of ≥3 of the following components: slowness, poor muscle strength, low physical activity, exhaustion and unintentional weight loss. RESULTS: A total of 1,124 participants completed the interview. The mean age was 79.5 ± 7.1 years, and 55.9% were female. Nine hundred and forty-five subjects completed the clinical evaluation and 743 blood samples were collected. The baseline prevalence of frailty was 14.1%. CONCLUSIONS: Understanding the medical, biological, and environmental factors that contribute to the phenomenon of frailty is the goal of the current research in the field.

The Phenotype of Frailty Predicts Disability and Mortality among Mexican Community-Dwelling Elderly.

BACKGROUND: Frailty represents a major public health priority in Western countries. Specific social and cultural factors may influence the prevalence and predictive value for negative health-related events of this syndrome. OBJECTIVE: To determine the prevalence and predictive value of the phenotype of frailty among community-dwelling Mexican American older persons. DESIGN, SETTING AND PARTICIPANTS: Two-year longitudinal study of 5,644 men and women aged 60 years and older participating in the Mexican Health and Aging Study. MEASUREMENTS: The Frailty index used in the present study was a modified version of the operational definition proposed in the Cardiovascular Health Study (CHS). Frailty was defined by the presence of at least three of the four following criteria: weight loss, weakness, exhaustion, slowness, and low physical activity. The main outcomes were incident disability and mortality. Chi-square, ANOVA and multiple logistic regression analyses were used to test the prognostic value of frailty for the outcomes of interest. RESULTS: The mean age of the study sample was 68.7 (SD 6.9) years. Thirty-seven percent of participants (n=2,102) met the definition of frailty. Frail subjects were significantly older, and more likely to be women than non-frail participants. They also presented lower education, more chronic diseases, lower income, and poorer self-reported health status. After adjusting for potential confounders, frailty was found to be a predictor of incident mobility disability (odds ratio [OR] 1.91, 95% confidence interval [CI] 1.37-2.66), activities of daily living (ADL) disability (OR 9.33; 95%CI 3.37-25.82), and instrumental ADL (IADL) disability (OR 1.81, 95%CI 1.23-2.68). The risk of mortality among frail participants was almost three-fold higher than in non-frail ones. CONCLUSION: The prevalence of frailty is higher in this elderly population than what previously reported in other cohorts. The phenotype of frailty was confirmed to be a predictor for adverse health-related outcomes (including mobility, ADL, and IADL disability). Further studies in Latin American countries are needed to identify frailty and develop adapted interventions for the prevention of adverse outcomes in older persons.

Cognitive impairment and low physical activity are the components of frailty more strongly associated with disability.

OBJECTIVE: To determine the association of the five frailty criteria from the Cardiovascular Health Study, as well as cognitive impairment, with prevalent disability for the instrumental (IADL) and basic activities of daily living (ADL). DESIGN: Cross-sectional study of 475 community-dwelling subjects aged 70 and older, participating in the Mexican Study of Nutritional and Psychosocial Markers of Frailty. MEASUREMENTS: Six probable frailty criteria were considered: weight loss, poor endurance, low physical activity, slowness, weakness, and cognitive impairment. The association of each component of frailty for IADL and ADL disability as main outcomes was determined constructing multivariate logistic regression analyses. Final models were adjusted by socio-demographic factors and the presence of the other five frailty components as covariates. RESULTS: Mean age of participants was 78.1 (SD=6.2). The unadjusted results showed that each of the components of frailty, except weight loss, was associated with both IADL and ADL disability. However, after adjustment, only low physical activity [Odds ratio (OR) =3.27; 95% CI=1.56 to 6.85] and cognitive impairment (OR=2.06; 95% CI=1.04 to 4.06) remain independently associated with IADL disability. Regarding ADL disability, only a lower physical activity (OR=7.72; 95% CI=1.28 to 46.46) was associated with this outcome, whereas cognitive impairment was marginally associated but was not statistically significant (OR=5.45; 95% CI=0.91 to 32.57). CONCLUSIONS: Cognitive impairment and low physical activity are the main contributing factors of frailty phenotype to disability. Better understanding the independent contribution of each frailty subdimension to the different adverse-health outcomes may help to provide a more adequate management of frail elderly.