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Sökning: WFRF:(Byles J) > (2015-2019)

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  • Arokiasamy, Perianayagam, et al. (författare)
  • Chronic Noncommunicable Diseases in 6 Low-and Middle-Income Countries : Findings From Wave 1 of the World Health Organization's Study on Global Ageing and Adult Health (SAGE)
  • 2017
  • Ingår i: American Journal of Epidemiology. - : Oxford University Press (OUP). - 0002-9262 .- 1476-6256. ; 185:6, s. 414-428
  • Tidskriftsartikel (refereegranskat)abstract
    • In this paper, we examine patterns of self-reported diagnosis of noncommunicable diseases (NCDs) and prevalences of algorithm/measured test-based, undiagnosed, and untreated NCDs in China, Ghana, India, Mexico, Russia, and South Africa. Nationally representative samples of older adults aged >= 50 years were analyzed from wave 1 of the World Health Organization's Study on Global Ageing and Adult Health (2007-2010; n = 34,149). Analyses focused on 6 conditions: angina, arthritis, asthma, chronic lung disease, depression, and hypertension. Outcomes for these NCDs were: 1) self-reported disease, 2) algorithm/measured test-based disease, 3) undiagnosed disease, and 4) untreated disease. Algorithm/measured test-based prevalence of NCDs was much higher than self-reported prevalence in all 6 countries, indicating underestimation of NCD prevalence in low-and middle-income countries. Undiagnosed prevalence of NCDs was highest for hypertension, ranging from 19.7% (95% confidence interval (CI): 18.1, 21.3) in India to 49.6% (95% CI: 46.2, 53.0) in South Africa. The proportion untreated among all diseases was highest for depression, ranging from 69.5% (95% CI: 57.1, 81.9) in South Africa to 93.2% (95% CI: 90.1, 95.7) in India. Higher levels of education and wealth significantly reduced the odds of an undiagnosed condition and untreated morbidity. A high prevalence of undiagnosed NCDs and an even higher proportion of untreated NCDs highlights the inadequacies in diagnosis and management of NCDs in local health-care systems.
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  • Navin Cristina, Tina J, et al. (författare)
  • Identification of diabetes, heart disease, hypertension and stroke in mid- and older-aged women : Comparing self-report and administrative hospital data records
  • 2016
  • Ingår i: Geriatrics & Gerontology International. - : Wiley. - 1444-1586 .- 1447-0594. ; 16:1, s. 95-102
  • Tidskriftsartikel (refereegranskat)abstract
    • AIM: To estimate the prevalence of diabetes, heart disease, hypertension and stroke in self-report and hospital data in two cohorts of women; measure sensitivity and agreement between data sources; and compare between cohorts.METHODS: Women born between 1946-1951 and 1921-1926 who participated in the Australian Longitudinal Study on Women's Health (ALSWH); were New South Wales residents; and admitted to hospital (2004-2008) were included in the present study. The prevalence of diabetes, heart disease, hypertension and stroke was estimated using self-report (case 1 at latest survey, case 2 across multiple surveys) and hospital records. Agreement (kappa) and sensitivity (%) were calculated. Logistic regression measured the association between patient characteristics and agreement.RESULTS: Hypertension had the highest prevalence and estimates were higher for older women: 32.5% case 1, 45.4% case 2, 12.8% in hospital data (1946-1951 cohort); 57.8% case 1, 73.2% case 2, 38.2% in hospital data (1921-1926 cohort). Agreement was substantial for diabetes: κ = 0.75 case 1, κ = 0.70 case 2 (1946-1951 cohort); κ = 0.77 case 1, κ = 0.80 case 2 (1921-1926 cohort), and lower for other conditions. The 1946-1951 cohort had 2.08 times the odds of agreement for hypertension (95% CI 1.56 to 2.78; P < 0.0001), and 6.25 times the odds of agreement for heart disease (95% CI 4.35 to 10.0; P < 0.0001), compared with the 1921-1926 cohort.CONCLUSION: Substantial agreement was found for diabetes, indicating accuracy of ascertainment using self-report or hospital data. Self-report data appears to be less accurate for heart disease and stroke. Hypertension was underestimated in hospital data. These findings have implications for epidemiological studies relying on self-report or administrative data. Geriatr Gerontol Int 2015
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