Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 20 de 58
Filtrar
1.
Sci Rep ; 10(1): 20453, 2020 11 24.
Artigo em Inglês | MEDLINE | ID: mdl-33235211

RESUMO

Sarcopenia and sarcopenic obesity research in low- and middle- income countries (LMICs) is limited. We investigated sarcopenia and sarcopenic obesity prevalence and sociodemographic, bio-clinical and lifestyle factors in LMICs settings. For the purposes of this study, the 10/66 Dementia Research Group follow-up wave information from individuals aged 65 and over in Cuba, Dominican Republic, Peru, Mexico, Puerto Rico, China, was employed and analysed (n = 8.694). Based on indirect population formulas, we calculated body fat percentage (%BF) and skeletal muscle mass index (SMI). Sarcopenia prevalence ranged from 12.4% (Dominican Republic) to 24.6% (rural Peru); sarcopenic obesity prevalence ranged from 3.0% (rural China) to 10.2% (rural Peru). Odds ratios (OR) with 95% confidence intervals (CI) for sarcopenia were higher for men 2.82 (2.22-3.57) and those with higher %BF 1.08 (1.07-1.09), whereas higher number of assets was associated with a decreased likelihood 0.93 (0.87-1.00). OR of sarcopenic obesity were higher for men 2.17 (1.70-2.76), those reporting moderate alcohol drinking 1.76 (1.21-2.57), and those with increased number of limiting impairments 1.54 (1.11-2.14). We observed heterogeneity in the prevalence of sarcopenia and sarcopenic obesity in the 10/66 settings. We also found a variety of factors to be associated with those. Our results reveal the need for more research among the older population of LMICs.


Assuntos
Obesidade/epidemiologia , Sarcopenia/epidemiologia , Idoso , Idoso de 80 Anos ou mais , Índice de Massa Corporal , China/epidemiologia , Cuba/epidemiologia , República Dominicana/epidemiologia , Feminino , Humanos , Estilo de Vida , Masculino , México/epidemiologia , Obesidade/complicações , Razão de Chances , Peru/epidemiologia , Prevalência , Sarcopenia/etiologia , Caracteres Sexuais , Fatores Socioeconômicos
2.
Int J Behav Nutr Phys Act ; 17(1): 92, 2020 07 16.
Artigo em Inglês | MEDLINE | ID: mdl-32677960

RESUMO

BACKGROUND: Research has suggested the positive impact of physical activity on health and wellbeing in older age, yet few studies have investigated the associations between physical activity and heterogeneous trajectories of healthy ageing. We aimed to identify how physical activity can influence healthy ageing trajectories using a harmonised dataset of eight ageing cohorts across the world. METHODS: Based on a harmonised dataset of eight ageing cohorts in Australia, USA, Mexico, Japan, South Korea, and Europe, comprising 130,521 older adults (Mage = 62.81, SDage = 10.06) followed-up up to 10 years (Mfollow-up = 5.47, SDfollow-up = 3.22), we employed growth mixture modelling to identify latent classes of people with different trajectories of healthy ageing scores, which incorporated 41 items of health and functioning. Multinomial logistic regression modelling was used to investigate the associations between physical activity and different types of trajectories adjusting for sociodemographic characteristics and other lifestyle behaviours. RESULTS: Three latent classes of healthy ageing trajectories were identified: two with stable trajectories with high (71.4%) or low (25.2%) starting points and one with a high starting point but a fast decline over time (3.4%). Engagement in any level of physical activity was associated with decreased odds of being in the low stable (OR: 0.18; 95% CI: 0.17, 0.19) and fast decline trajectories groups (OR: 0.44; 95% CI: 0.39, 0.50) compared to the high stable trajectory group. These results were replicated with alternative physical activity operationalisations, as well as in sensitivity analyses using reduced samples. CONCLUSIONS: Our findings suggest a positive impact of physical activity on healthy ageing, attenuating declines in health and functioning. Physical activity promotion should be a key focus of healthy ageing policies to prevent disability and fast deterioration in health.


Assuntos
Exercício Físico , Envelhecimento Saudável , Estilo de Vida , Idoso , Austrália/epidemiologia , Estudos de Coortes , Europa (Continente)/epidemiologia , Feminino , Humanos , Japão/epidemiologia , Análise de Classes Latentes , Modelos Logísticos , Masculino , México/epidemiologia , Pessoa de Meia-Idade , República da Coreia/epidemiologia , Estados Unidos/epidemiologia
3.
Lancet Public Health ; 5(7): e386-e394, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-32619540

RESUMO

BACKGROUND: The rapid growth of the size of the older population is having a substantial effect on health and social care services in many societies across the world. Maintaining health and functioning in older age is a key public health issue but few studies have examined factors associated with inequalities in trajectories of health and functioning across countries. The aim of this study was to investigate trajectories of healthy ageing in older men and women (aged ≥45 years) and the effect of education and wealth on these trajectories. METHODS: This population-based study is based on eight longitudinal cohorts from Australia, the USA, Japan, South Korea, Mexico, and Europe harmonised by the EU Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) consortium. We selected these studies from the repository of 17 ageing studies in the ATHLOS consortium because they reported at least three waves of collected data. We used multilevel modelling to investigate the effect of education and wealth on trajectories of healthy ageing scores, which incorporated 41 items of physical and cognitive functioning with a range between 0 (poor) and 100 (good), after adjustment for age, sex, and cohort study. FINDINGS: We used data from 141 214 participants, with a mean age of 62·9 years (SD 10·1) and an age range of 45-106 years, of whom 76 484 (54·2%) were women. The earliest year of baseline data was 1992 and the most recent last follow-up year was 2015. Education and wealth affected baseline scores of healthy ageing but had little effect on the rate of decrease in healthy ageing score thereafter. Compared with those with primary education or less, participants with tertiary education had higher baseline scores (adjusted difference in score of 10·54 points, 95% CI 10·31-10·77). The adjusted difference in healthy ageing score between lowest and highest quintiles of wealth was 8·98 points (95% CI 8·74-9·22). Among the eight cohorts, the strongest inequality gradient for both education and wealth was found in the Health Retirement Study from the USA. INTERPRETATION: The apparent difference in baseline healthy ageing scores between those with high versus low education levels and wealth suggests that cumulative disadvantage due to low education and wealth might have largely deteriorated health conditions in early life stages, leading to persistent differences throughout older age, but no further increase in ageing disparity after age 70 years. Future research should adopt a lifecourse approach to investigate mechanisms of health inequalities across education and wealth in different societies. FUNDING: European Union Horizon 2020 Research and Innovation Programme.


Assuntos
Escolaridade , Disparidades nos Níveis de Saúde , Envelhecimento Saudável , Renda/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Austrália , Estudos de Coortes , Europa (Continente) , Feminino , Humanos , Japão , Masculino , México , Pessoa de Meia-Idade , República da Coreia , Estados Unidos
4.
J Alzheimers Dis ; 75(2): 581-593, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32310178

RESUMO

BACKGROUND: Dementia is the main cause of disability in older people living in low- and middle-income countries (LMIC). Monitoring mortality rates and mortality risk factors in people with dementia (PwD) may contribute to improving care provision. OBJECTIVE: We aimed to estimate mortality rates and mortality predictors in PwD from eight LMICs. METHODS: This 3-5-year prospective cohort study involved a sample of 1,488 older people with dementia from eight LMIC. Total, age- and gender-specific mortality rates per 1,000 person-years at risk, as well as the total, age- and gender-adjusted mortality rates were estimated for each country's sub-sample. Cox's regressions were used to establish the predictors of mortality. RESULTS: At follow-up, vital status of 1,304 individuals (87.6%) was established, of which 593 (45.5%) were deceased. Mortality rate was higher in China (65.9%) and lower in Mexico (26.9%). Mortality risk was higher in males (HR = 1.57; 95% CI: 1.32,1.87) and increased with age (HR = 1.04; 95% CI: 1.03,1.06). Neuropsychiatric symptoms (HR = 1.03; 95% CI: 1.01,1.05), cognitive decline (HR 1.04; 95% CI: 1.03,1.05), undernutrition (HR = 1.55; 95% CI: 1.19, 2.02), physical impairments (HR = 1.15; 95% CI: 1.03,1.29), and disease severity (HR = 1.43; 95% CI: 1.22,1.63) predicted higher mortality risk. CONCLUSION: Several factors predicted higher mortality risk in PwD in LMICs. Males, those with higher age, higher severity of neuropsychiatric symptoms, higher number of physical impairments, higher disease severity, lower cognitive performance, and undernutrition had higher mortality risk. Addressing these indicators of long-term adverse outcomes may potentially contribute to improved advanced care planning, reducing the burden of disease in low-resourced settings.


Assuntos
Demência/mortalidade , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Países em Desenvolvimento , Feminino , Humanos , Masculino , Mortalidade , Estudos Prospectivos , Fatores de Risco , Fatores Sexuais
5.
J Aging Health ; 32(5-6): 401-409, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-30698491

RESUMO

Objective: The objective of this study was to estimate healthy life expectancies in eight low- and middle-income countries (LMICs), using two indicators: disability-free life expectancy (DFLE) and dependence-free life expectancy (DepFLE). Method: Using the Sullivan method, healthy life expectancy was calculated based on the prevalence of dependence and disability from the 10/66 cohort study, which included 16,990 people aged 65 or above in China, Cuba, Dominican Republic, India, Mexico, Peru, Puerto Rico, and Venezuela, and country-specific life tables from the World Population Prospects 2017. Results: DFLE and DepFLE declined with older age across all sites and were higher in women than men. Mexico reported the highest DFLE at age 65 for men (15.4, SE = 0.5) and women (16.5, SE = 0.4), whereas India had the lowest with (11.5, SE = 0.3) in men and women (11.7, SE = 0.4). Discussion: Healthy life expectancy based on disability and dependency can be a critical indicator for aging research and policy planning in LMICs.


Assuntos
Indicadores Básicos de Saúde , Expectativa de Vida , Idoso , Idoso de 80 Anos ou mais , China/epidemiologia , Estudos de Coortes , Países em Desenvolvimento , Pessoas com Deficiência/estatística & dados numéricos , República Dominicana/epidemiologia , Feminino , Humanos , Índia/epidemiologia , Masculino , México/epidemiologia , Peru/epidemiologia , Prevalência , Porto Rico/epidemiologia , Venezuela/epidemiologia
6.
Aging Ment Health ; 24(11): 1796-1806, 2020 11.
Artigo em Inglês | MEDLINE | ID: mdl-31512501

RESUMO

Objective: This study aimed to estimate the association between tobacco smoking and risk for dementia in seven low- and middle-income countries.Methods: Secondary analysis of the 10/66 population-based cohort study was conducted with 11,143 dementia-free individuals aged 65 years and older who were followed-up for an average of 3.8 years totalling 42,715 person-years. Cox regression with competing-risk analyses was used, controlling for age, gender, number of assets, past hazardous drinking, exercise and self-report of heart disease. Exposure was measured in packyears and smoking status. The number of packyears was calculated by multiplying the average number of packs per day by years of consumption up to 50 years old and up to age at baseline.Results: Meta-analysis of the results from each country yielded non-significant pooled relative risk ratios for all comparisons. There was no difference in risk for any dementia between 'ever smokers' compared to 'never smokers' (HR 0.96; 95% CI 0.82-1.13); 'current smokers' compared to 'never smokers' (HR 0.83; 95% CI 0.66-1.06); 'former smokers' compared to 'never smokers' (HR 1.06; 95% CI 0.88-1.27); 'current smokers' compared to 'former smokers' (HR 0.86; 95% CI 0.66-1.13). Results were similar for Alzheimer's disease (AD) and Vascular Dementia (VaD) as outcomes. Lifetime tobacco consumption (packyears) was not associated with any dementia (HR 1.00; 95% CI 0.99-1.00), nor with AD or VaD.Conclusion: Pooled results from all the countries showed no significant association between smoking and the onset of any dementia. Selective quitting in later-life might have biased the results towards no effect.


Assuntos
Demência , Idoso , Estudos de Coortes , Demência/epidemiologia , Demência/etiologia , Humanos , Estudos Longitudinais , Fatores de Risco , Fumar Tabaco
7.
BMC Med Res Methodol ; 19(1): 225, 2019 12 05.
Artigo em Inglês | MEDLINE | ID: mdl-31801461

RESUMO

BACKGROUND: In the absence of a consensus on definition and measurement of healthy ageing, we created a healthy ageing index tallying with the functional ability framework provided by the World Health Organization. To create this index, we employed items of functional ability and intrinsic capacity. The current study aims to establish the predictive validity and discrimination properties of this healthy ageing index in settings in Latin American, part of the 10/66 cohort. METHODS: Population-based cohort studies including 12,865 people ≥65 years old in catchment areas of Cuba, Dominican Republic, Venezuela, Mexico and Peru. We employed latent variable modelling to estimate the healthy ageing scores of each participant. We grouped participants according to the quintiles of the healthy ageing score distribution. Cox's proportional hazard models for mortality and sub-hazard (competing risks) models for incident dependence (i.e. needing care) were calculated per area after a median of 3.9 years and 3.7 years, respectively. Results were pooled together via fixed-effects meta-analysis. Our findings were compared with those obtained from self-rated health. RESULTS: Participants with lowest levels, compared to participants with highest level of healthy ageing, had increased risk of mortality and incident dependence, even after adjusting for sociodemographic and health conditions (HR: 3.25, 95%CI: 2.63-4.02; sub-HR: 5.21, 95%CI: 4.02-6.75). Healthy ageing scores compared to self-rated health had higher population attributable fractions (PAFs) for mortality (43.6% vs 19.3%) and incident dependence (58.6% vs 17.0%), and better discriminative power (Harrell's c-statistic: mortality 0.74 vs 0.72; incident dependence 0.76 vs 0.70). CONCLUSION: These results provide evidence that our healthy ageing index could be a valuable tool for prevention strategies as it demonstrated predictive and discriminative properties. Further research in other cultural settings will assist moving from a theoretical conceptualisation of healthy ageing to a more practical one.


Assuntos
Nível de Saúde , Envelhecimento Saudável , Renda , Análise de Sobrevida , Estudos de Coortes , Cuba , República Dominicana , Humanos , Incidência , América Latina , México , Peru , Valor Preditivo dos Testes , Modelos de Riscos Proporcionais , Autoavaliação (Psicologia) , Venezuela
8.
BMC Med Res Methodol ; 19(1): 226, 2019 12 05.
Artigo em Inglês | MEDLINE | ID: mdl-31801473

RESUMO

BACKGROUND: Our population is ageing and in 2050 more than one out of five people will be 60 years or older; 80% of whom will be living in a low-and-middle income country. Living longer does not entail living healthier; however, there is not a widely accepted measure of healthy ageing hampering policy and research. The World Health Organization defines healthy ageing as the process of developing and maintaining functional ability that will enable well-being in older age. We aimed to create a healthy ageing index (HAI) in a subset of six low-and-middle income countries, part of the 10/66 study, by using items of functional ability and intrinsic capacity. METHODS: The study sample included residents 65-years old and over (n = 12,865) from catchment area sites in Cuba, Dominican Republic, Peru, Venezuela, Mexico and Puerto Rico. Items were collected by interviewing participants or key informants between 2003 and 2010. Two-stage factor analysis was employed and we compared one-factor, second-order and bifactor models. The psychometric properties of the index, including reliability, replicability, unidimensionality and concurrent convergent validity as well as measurement invariance per ethnic group and gender were further examined in the best fit model. RESULTS: The bifactor model displayed superior model fit statistics supporting that a general factor underlies the various items but other subdomain factors are also needed. The HAI indicated excellent reliability (ω = 0.96, ωΗ = 0.84), replicability (H = 0.96), some support for unidimensionality (Explained Common Variance = 0.65) and some concurrent convergent validity with self-rated health. Scalar measurement invariance per ethnic group and gender was supported. CONCLUSIONS: A HAI with excellent psychometric properties was created by using items of functional ability and intrinsic capacity in a subset of six low-and-middle income countries. Further research is needed to explore sub-population differences and to validate this index to other cultural settings.


Assuntos
Demência/epidemiologia , Nível de Saúde , Envelhecimento Saudável , Análise de Sobrevida , Idoso , Estudos de Coortes , Cuba , Demência/diagnóstico , República Dominicana , Humanos , Incidência , Renda , América Latina , México , Peru , Valor Preditivo dos Testes , Modelos de Riscos Proporcionais , Psicometria , Porto Rico , Autoavaliação (Psicologia) , Venezuela
9.
Sci Rep ; 9(1): 11041, 2019 07 30.
Artigo em Inglês | MEDLINE | ID: mdl-31363117

RESUMO

Projections show that the number of people above 60 years old will triple by 2050 in Mexico. Nevertheless, ageing is characterised by great variability in the health status. In this study, we aimed to identify trajectories of health and their associations with lifestyle factors in a national representative cohort study of older Mexicans. We used secondary data of 14,143 adults from the Mexican Health and Aging Study (MHAS). A metric of health, based on the conceptual framework of functional ability, was mapped onto four waves (2001, 2003, 2012, 2015) and created by applying Bayesian multilevel Item Response Theory (IRT). Conditional Growth Mixture Modelling (GMM) was used to identify latent classes of individuals with similar trajectories and examine the impact of physical activity, smoking and alcohol on those. Conditional on sociodemographic and lifestyle behaviour four latent classes were suggested: high-stable, moderate-stable, low-stable and decliners. Participants who did not engage in physical activity, were current or previous smokers and did not consume alcohol at baseline were more likely to be in the trajectory with the highest deterioration (i.e. decliners). This study confirms ageing heterogeneity and the positive influence of a healthy lifestyle. These results provide the ground for new policies.


Assuntos
Consumo de Bebidas Alcoólicas/epidemiologia , Nível de Saúde , Envelhecimento Saudável , Fumar/epidemiologia , Idoso , Exercício Físico , Feminino , Humanos , Masculino , México , Pessoa de Meia-Idade , Fatores Socioeconômicos
10.
Nutrients ; 10(11)2018 Oct 30.
Artigo em Inglês | MEDLINE | ID: mdl-30380734

RESUMO

Latin American and the Caribbean countries exhibit high life expectancy and projections show that they will experience the fastest growth of older people in the following years. As people live longer, it is important to maximise the opportunity to age healthily. We aimed to examine the associations of lifestyle behaviours with healthy ageing in Cuba, Dominican Republic, Peru, Mexico and Puerto Rico, part of the 10/66 study. Residents 65 years old and over (n = 10,900) were interviewed between 2003 and 2010. In the baseline survey, we measured four healthy behaviours: Physical activity, non-smoking, moderate drinking and fruits or vegetables consumption. Healthy ageing was conceptualised within the functional ability framework over a median of 4 years follow-up. Logistic models were calculated per country and then pooled together with fixed-effects meta-analysis. People engaging in physical activity and consuming fruits or vegetables had increased odds of healthy ageing in the follow-up (OR: 2.59, 95% CI: 2.20⁻3.03; OR: 1.24, 95% CI: 1.06⁻1.44, respectively). Compared with participants engaging in none or one healthy behaviour, the ORs of participants engaging in two, three or four healthy behaviours increased in a linear way (OR: 1.60, 95% CI: 1.40⁻1.84; OR: 2.29, 95% CI: 1.94⁻2.69; OR: 2.46, 95% CI: 1.54⁻3.92, respectively). Our findings highlight the importance of awareness of a healthy lifestyle behaviour among older people.


Assuntos
Comportamentos Relacionados com a Saúde , Envelhecimento Saudável , Estilo de Vida Saudável , Expectativa de Vida , Idoso , Idoso de 80 Anos ou mais , Consumo de Bebidas Alcoólicas , Região do Caribe , Área Programática de Saúde , Estudos de Coortes , Cuba , República Dominicana , Exercício Físico , Feminino , Frutas , Humanos , Modelos Logísticos , Masculino , México , Pessoa de Meia-Idade , Peru , Porto Rico , Verduras
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA