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1.
BMC Med ; 13: 147, 2015 Jun 23.
Artigo em Inglês | MEDLINE | ID: mdl-26099794

RESUMO

BACKGROUND: In 2010 falls were responsible for approximately 80 % of disability stemming from unintentional injuries excluding traffic accidents in adults 50 years and over. Falls are becoming a major public health problem in low- and middle-income countries (LMICs) where populations are ageing rapidly. METHODS: Nationally representative standardized data collected from adults aged 50 years and over participating in the World Health Organization (WHO) Study on global AGEing and adult health (SAGE) Wave 1 in China, Ghana, India, Mexico, the Russian Federation and South Africa are analysed. The aims are to identify the prevalence of, and risk factors for, past-year fall-related injury and to assess associations between fall-related injury and disability. Regression methods are used to identify risk factors and association between fall-related injury and disability. Disability was measured using the WHO Disability Assessment Schedule Version 2.0 (WHODAS 2.0). RESULTS: The prevalence of past-year fall-related injuries ranged from 6.6 % in India to 1.0 % in South Africa and was 4.0 % across the pooled countries. The proportion of all past-year injuries that were fall-related ranged from 73.3 % in the Russian Federation to 44.4 % in Ghana. Across the six countries this was 65.7 %. In the multivariable logistic regression, the odds of past-year fall-related injury were significantly higher for: women (OR: 1.27; 95 % CI: 0.99,1.62); respondents who lived in rural areas (OR: 1.36; 95 % CI: 1.06,1.75); those with depression (OR: 1.43; 95 % CI: 1.01,2.02); respondents who reported severe or extreme problems sleeping (OR: 1.54; 95 % CI: 1.15,2.08); and those who reported two or more (compared with no) chronic conditions (OR: 2.15; 95 % CI: 1.45,3.19). Poor cognition was also a significant risk factor for fall-related injury. The association between fall-related injury and the WHODAS measure of disability was highly significant (P<0.0001) with some attenuation after adjusting for confounders. Reporting two or more chronic conditions (compared with none) was significantly associated with disability (P<0.0001). CONCLUSIONS: The findings provide a platform for improving understanding of risk factors for falls in older adults in this group of LMICs. Clinicians and public health professionals in these countries must be made aware of the extent of this problem and the need to implement policies to reduce the risk of falls in older adults.


Assuntos
Acidentes por Quedas , Doença Crônica/epidemiologia , Depressão/epidemiologia , Ferimentos e Lesões , Acidentes por Quedas/prevenção & controle , Acidentes por Quedas/estatística & dados numéricos , Idoso , China/epidemiologia , Países em Desenvolvimento/estatística & dados numéricos , Avaliação da Deficiência , Feminino , Gana/epidemiologia , Humanos , Índia/epidemiologia , Modelos Logísticos , Masculino , México/epidemiologia , Pessoa de Meia-Idade , Prevalência , Fatores de Risco , População Rural/estatística & dados numéricos , Federação Russa/epidemiologia , África do Sul/epidemiologia , Organização Mundial da Saúde , Ferimentos e Lesões/diagnóstico , Ferimentos e Lesões/epidemiologia , Ferimentos e Lesões/etiologia
2.
BMC Public Health ; 15: 88, 2015 Feb 06.
Artigo em Inglês | MEDLINE | ID: mdl-25885218

RESUMO

BACKGROUND: Behavioral risk factors such as tobacco use, unhealthy diet, insufficient physical activity and the harmful use of alcohol are known and modifiable contributors to a number of NCDs and health mediators. The purpose of this paper is to describe the distribution of main risk factors for NCDs by socioeconomic status (SES) among adults aged 50 years and older within a country and compare these risk factors across six lower- and upper-middle income countries. METHODS: The study population in this paper draw from SAGE Wave 1 and consisted of adults aged 50-plus from China (N=13,157), Ghana (N=4,305), India (N=6,560), Mexico (N=2,318), the Russian Federation (N=3,938) and South Africa (N=3,836). Seven main common risk factors for NCDs were identified: daily tobacco use, frequent heavy drinking, low level physical activity, insufficient vegetable and fruit intake, high risk waist-hip ratio, obesity and hypertension. Multiple risk factors were also calculated by summing all these risk factors. RESULTS: The prevalence of daily tobacco use ranged from 7.7% (Ghana) to 46.9% (India), frequent heavy drinker was the highest in China (6.3%) and lowest in India (0.2%), and the highest prevalence of low physical activity was in South Africa (59.7%). The highest prevalence of respondents with high waist-to-hip ratio risk was 84.5% in Mexico, and the prevalence of self-reported hypertension ranging from 33% (India) to 78% (South Africa). Obesity was more common in South Africa, the Russia Federation and Mexico (45.2%, 36% and 28.6%, respectively) compared with China, India and Ghana (15.3%, 9.7% and 6.4%, respectively). China, Ghana and India had a higher prevalence of respondents with multiple risk factors than Mexico, the Russia Federation and South Africa. The occurrence of three and four risk factors was more prevalent in Mexico, the Russia Federation and South Africa. CONCLUSION: There were substantial variations across countries and settings, even between upper-middle income countries and lower-middle income countries. The baseline information on the magnitude of the problem of risk factors provided by this study can help countries and health policymakers to set up interventions addressing the global non-communicable disease epidemic.


Assuntos
Doença Crônica/epidemiologia , Comportamentos Relacionados com a Saúde , Idoso , Idoso de 80 Anos ou mais , Envelhecimento , Alcoolismo/epidemiologia , Pesos e Medidas Corporais , China/epidemiologia , Dieta , Exercício Físico , Gana/epidemiologia , Humanos , Índia/epidemiologia , Masculino , México/epidemiologia , Pessoa de Meia-Idade , Obesidade/epidemiologia , Prevalência , Risco , Fatores de Risco , Federação Russa/epidemiologia , Autorrelato , Fumar/epidemiologia , Fatores Socioeconômicos , África do Sul/epidemiologia , Relação Cintura-Quadril
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