Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 6 de 6
Filtrar
1.
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
2.
J Headache Pain ; 21(1): 45, 2020 May 06.
Artigo em Inglês | MEDLINE | ID: mdl-32375641

RESUMO

BACKGROUND: Pain is a common symptom, often associated with neurological and musculoskeletal conditions, and experienced especially by females and by older people, and with increasing trends in general populations. Different risk factors for pain have been identified, but generally from studies with limited samples and a limited number of candidate predictors. The aim of this study is to evaluate the predictors of pain from a large set of variables and respondents. METHODS: We used part of the harmonized dataset of ATHLOS project, selecting studies and waves with a longitudinal course, and in which pain was absent at baseline and with no missing at follow-up. Predictors were selected based on missing distribution and univariable association with pain, and were selected from the following domains: Socio-demographic and economic characteristics, Lifestyle and health behaviours, Health status and functional limitations, Diseases, Physical measures, Cognition, personality and other psychological measures, and Social environment. Hierarchical logistic regression models were then applied to identify significant predictors. RESULTS: A total of 13,545 subjects were included of whom 5348 (39.5%) developed pain between baseline and the average 5.2 years' follow-up. Baseline risk factors for pain were female gender (OR 1.34), engaging in vigorous exercise (OR 2.51), being obese (OR 1.36) and suffering from the loss of a close person (OR 1.88) whereas follow-up risk factors were low energy levels/fatigue (1.93), difficulties with walking (1.69), self-rated health referred as poor (OR 2.20) or average to moderate (OR 1.57) and presence of sleep problems (1.80). CONCLUSIONS: Our results showed that 39.5% of respondents developed pain over a five-year follow-up period, that there are proximal and distal risk factors for pain, and that part of them are directly modifiable. Actions aimed at improving sleep, reducing weight among obese people and treating fatigue would positively impact on pain onset, and avoiding vigorous exercise should be advised to people aged 60 or over, in particular if female or obese.


Assuntos
Envelhecimento/fisiologia , Bases de Dados Factuais/tendências , Dor/diagnóstico , Dor/epidemiologia , Vigilância da População , Adulto , Idoso , Idoso de 80 Anos ou mais , Envelhecimento/patologia , Peso Corporal/fisiologia , China/epidemiologia , Cognição/fisiologia , Europa (Continente)/epidemiologia , Exercício Físico/fisiologia , Feminino , Seguimentos , Nível de Saúde , Humanos , Estilo de Vida , Estudos Longitudinais , Masculino , México/epidemiologia , Pessoa de Meia-Idade , Dor/fisiopatologia , Vigilância da População/métodos , Valor Preditivo dos Testes , Fatores de Risco , Fatores Sexuais , Adulto Jovem
3.
Drug Alcohol Depend ; 173: 24-30, 2017 Apr 01.
Artigo em Inglês | MEDLINE | ID: mdl-28189032

RESUMO

BACKGROUND: Reasons for socioeconomic inequalities in alcohol harm are not sufficiently understood. One explanation relates to differential exposure to alcohol by socioeconomic status (SES). The present study investigated socioeconomic inequalities in alcohol use in two countries with high alcohol consumption and alcohol harm. METHODS: Data from nationally representative surveys in 2009-2010 in Chile and in 2008-2011 in Finland were used. Surveys comprised 3477 participants in Chile and 9994 in Finland aged 30-64 years. Outcome measures included abstinence, weekly consumption of pure alcohol, heavy volume drinking and heavy episodic drinking (HED). We employed a novel method in alcohol research, the concentration index, to measure socioeconomic inequalities. RESULTS: Alcohol abstinence showed a strong association with lower SES in Chile and Finland. These were largely driven by inequalities among women in Chile and older subgroups in Finland. In both countries, women aged 45-64 of higher SES showed higher weekly consumption of pure alcohol and heavy volume drinking. Heavy volume drinking among Chilean women aged 45-64 showed the highest inequality, favouring higher SES. HED was equally distributed among SES groups in Chile; in Finland HED disproportionally affected lower SES groups. CONCLUSIONS: Lower SES was associated with higher abstinence rates in both countries and heavy episodic drinking in Finland. Heavy volume drinking was more prevalent in middle-aged women of high SES. The results identified groups for targeted interventions, including middle-aged higher SES women, who traditionally have not been specifically targeted. The concentration index could be a useful measure of inequalities in alcohol use.


Assuntos
Abstinência de Álcool/economia , Consumo de Bebidas Alcoólicas/economia , Renda , Classe Social , Adulto , Chile , Feminino , Finlândia , Humanos , Masculino , Pessoa de Meia-Idade , Fatores Socioeconômicos
4.
Atherosclerosis ; 238(2): 240-9, 2015 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-25528433

RESUMO

OBJECTIVE: The aim of this study was to evaluate the factors associated with different components of arterial blood pressure in nine nationally-representative samples of people aged ≥50 years. METHODS: Data were available for 53,289 people aged ≥18 years who participated in the SAGE (WHO Study on global AGEing and adult health) study conducted in China, Ghana, India, Mexico, Russia, and South Africa, and the COURAGE (Collaborative Research on Ageing in Europe) study conducted in Finland, Poland, and Spain, between 2007 and 2012. Standard procedures were used to obtain diastolic and systolic blood pressure (DBP, SBP) measurements to identify hypertensive participants, and to determine mean arterial blood pressure (MAP) and pulse pressure (PP). RESULTS: The analytical sample consisted of 42,116 people aged 50 years or older. South Africa had the highest prevalence of hypertension (78.3%), and the highest measurements of MAP ± SD (113.6 ± 36.4 mmHg), SBP ± SD (146.4 ± 49.5 mmHg), and DBP ± SD (97.2 ± 33.9 mmHg). In the adjusted models, dose-dependent positive associations between Body Mass Index (BMI) and MAP or PP were observed in most countries (p < 0.05). Diabetes was positively associated with PP in most countries but the association between diabetes and MAP was less consistent. Stroke was associated with both higher MAP and PP in China, Ghana, and South Africa (p < 0.05). CONCLUSIONS: Obesity and diabetes remain important modifiable risk factors for arterial peripheral resistance and stiffness as reflected by MAP and PP respectively. Controlling arterial pressure abnormalities after stroke events may be important for secondary prevention, particularly in developing countries.


Assuntos
Antropometria , Pressão Arterial , Hipertensão/epidemiologia , Adulto , África/epidemiologia , Fatores Etários , Idoso , Ásia/epidemiologia , Índice de Massa Corporal , Comorbidade , Estudos Transversais , Diabetes Mellitus/diagnóstico , Diabetes Mellitus/epidemiologia , Europa (Continente)/epidemiologia , Feminino , Humanos , Hipertensão/diagnóstico , Hipertensão/fisiopatologia , Masculino , México/epidemiologia , Pessoa de Meia-Idade , Obesidade/diagnóstico , Obesidade/epidemiologia , Prevalência , Fatores de Risco , Acidente Vascular Cerebral/diagnóstico , Acidente Vascular Cerebral/epidemiologia , Fatores de Tempo , Resistência Vascular , Rigidez Vascular
5.
PLoS One ; 9(12): e114742, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-25478876

RESUMO

BACKGROUND: Data on the association between chronic conditions or the number of chronic conditions and sleep problems in low- or middle-income countries is scarce, and global comparisons of these associations with high-income countries have not been conducted. METHODS: Data on 42116 individuals 50 years and older from nationally-representative samples of the Collaborative Research on Ageing in Europe (Finland, Poland, Spain) and the World Health Organization's Study on Global Ageing and Adult Health (China, Ghana, India, Mexico, Russia, South Africa) conducted between 2011-2012 and 2007-2010 respectively were analyzed. RESULTS: The association between nine chronic conditions (angina, arthritis, asthma, chronic lung disease, depression, diabetes, hypertension, obesity, and stroke) and self-reported severe/extreme sleep problems in the past 30 days was estimated by logistic regression with multiple variables. The age-adjusted prevalence of sleep problems ranged from 2.8% (China) to 17.0% (Poland). After adjustment for confounders, angina (OR 1.75-2.78), arthritis (OR 1.39-2.46), and depression (OR 1.75-5.12) were significantly associated with sleep problems in the majority or all of the countries. Sleep problems were also significantly associated with: asthma in Finland, Spain, and India; chronic lung disease in Poland, Spain, Ghana, and South Africa; diabetes in India; and stroke in China, Ghana, and India. A linear dose-dependent relationship between the number of chronic conditions and sleep problems was observed in all countries. Compared to no chronic conditions, the OR (95%CI) for 1,2,3, and ≥ 4 chronic conditions was 1.41 (1.09-1.82), 2.55 (1.99-3.27), 3.22 (2.52-4.11), and 7.62 (5.88-9.87) respectively in the overall sample. CONCLUSIONS: Identifying co-existing sleep problems among patients with chronic conditions and treating them simultaneously may lead to better treatment outcome. Clinicians should be aware of the high risk for sleep problems among patients with multimorbidity. Future studies are needed to elucidate the best treatment options for comorbid sleep problems especially in developing country settings.


Assuntos
Transtornos do Sono-Vigília/epidemiologia , Idoso , Idoso de 80 Anos ou mais , China/epidemiologia , Doença Crônica/epidemiologia , Comorbidade , Europa (Continente) , Feminino , Gana/epidemiologia , Humanos , Índia/epidemiologia , Modelos Logísticos , Masculino , México/epidemiologia , Pessoa de Meia-Idade , Fatores de Risco , Federação Russa/epidemiologia , África do Sul/epidemiologia
6.
Epidemiology ; 25(5): 707-10, 2014 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-25036431

RESUMO

BACKGROUND: Many studies use information on weight histories to examine the association between body weight and mortality. A recent paper in Epidemiology (2013;25:707-710) developed a typology of the most common weight-history specifications. METHODS: We use data from a sample of Finnish adults to explore the associations of body weight and mortality, using existing specifications and also peak body mass index (BMI), a new specification. RESULTS: We confirm earlier findings that longer time in a high BMI state is predictive of mortality. Peak BMI (the highest BMI attained in life or available in the data) is also positively associated with mortality. CONCLUSIONS: The specifications of duration in a high BMI state and peak BMI are both valuable for understanding the relationship between lifetime weight dynamics and mortality. The collection of information on peak body weight may be useful when collection of more detailed weight histories is not feasible.


Assuntos
Índice de Massa Corporal , Sobrepeso/mortalidade , Adulto , Idoso , Idoso de 80 Anos ou mais , Peso Corporal , Estudos Transversais , Feminino , Finlândia/epidemiologia , Inquéritos Epidemiológicos , Humanos , Masculino , Pessoa de Meia-Idade , Obesidade/mortalidade , Modelos de Riscos Proporcionais , Sistema de Registros , Estudos Retrospectivos , Fatores de Risco , Fatores de Tempo
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA