Abstract:BackgroundSelf report questions are often used in population studies to assess sensory efficacy and decline. These questions differ in their validity in assessing sensory impairment depending on the wording of the question and the characteristics of the population. We tested the validity of the self-report questions on hearing efficacy (self reported hearing, ability in following a conversation, use of a telephone and use of hearing aids) used in The Irish Longitudinal Study on Ageing (TILDA).MethodsWe tested … Show more
“…As previously reported by the authors [13], the prevalence rate of presbycusis, identified by means of the WVT, was 13.6% in our sample. This estimate is lower than that reported by the World Health Organization on the basis of audiometric evaluation [22], but higher than the 10.7% reported in another study population in which the WVT was administered [23].…”
Background: Awareness of hearing disability in the elderly has adverse cognitive and functional consequences over time, in a longitudinal population-based study. Aim: To analyze the hypothesis that over time old people aware of hearing disability make less use of technology and lose more instrumental activities of daily living than peers with other self-reported hearing conditions. Methods: We analyzed 1171 healthy participants in the longitudinal population-based InveCe.Ab study. The consistency between self-reported hearing loss with clinician-evaluated hearing status (Whispered Voice Test; WVT), was categorized by consistency as: unaware of hearing loss (UHL), aware of hearing loss (AHL), only subjective hearing loss (OSHL), without hearing loss (noHL). Results: At baseline (2010), hearing loss was found in 159 [13.6% (95% CI: 11.7 -15.7)] of the participants [28 = 17.6% (95% CI: 12.0 -24.4) AHL; 131 = 82.4% (95% CI: 75.6 -88) UHL], while 23 [2.3% (95% CI: 1.4 -3.4)] of the subjects with normal WVT had OSHL. Mobile phone usage was significantly associated with different consistency categories (p < 0.001). It was lower in AHL and OSHL than in noHL subjects (p = 0.004 and p = 0.008) and UHL (p = 0.007 and p = 0.011). Doing shopping, using transportation, medication management and handling finances varied depending on consistency categories. Logistic regression models showed that, after 4 years (second follow-up: 2014), among AHL subjects, compared to noHL ones, the odds of having less use of mobile phone had increased over threefold, the odds of acquiring dependence in doing shopping had increased over six fold. Cognitive domains performances (i.e. executive, memory and visuo-spatial) were independently associated with maintaining mobile phone How to cite this paper: Vaccaro, R., Colombo, M., Abbondanza, S., Rolandi, E.,
“…As previously reported by the authors [13], the prevalence rate of presbycusis, identified by means of the WVT, was 13.6% in our sample. This estimate is lower than that reported by the World Health Organization on the basis of audiometric evaluation [22], but higher than the 10.7% reported in another study population in which the WVT was administered [23].…”
Background: Awareness of hearing disability in the elderly has adverse cognitive and functional consequences over time, in a longitudinal population-based study. Aim: To analyze the hypothesis that over time old people aware of hearing disability make less use of technology and lose more instrumental activities of daily living than peers with other self-reported hearing conditions. Methods: We analyzed 1171 healthy participants in the longitudinal population-based InveCe.Ab study. The consistency between self-reported hearing loss with clinician-evaluated hearing status (Whispered Voice Test; WVT), was categorized by consistency as: unaware of hearing loss (UHL), aware of hearing loss (AHL), only subjective hearing loss (OSHL), without hearing loss (noHL). Results: At baseline (2010), hearing loss was found in 159 [13.6% (95% CI: 11.7 -15.7)] of the participants [28 = 17.6% (95% CI: 12.0 -24.4) AHL; 131 = 82.4% (95% CI: 75.6 -88) UHL], while 23 [2.3% (95% CI: 1.4 -3.4)] of the subjects with normal WVT had OSHL. Mobile phone usage was significantly associated with different consistency categories (p < 0.001). It was lower in AHL and OSHL than in noHL subjects (p = 0.004 and p = 0.008) and UHL (p = 0.007 and p = 0.011). Doing shopping, using transportation, medication management and handling finances varied depending on consistency categories. Logistic regression models showed that, after 4 years (second follow-up: 2014), among AHL subjects, compared to noHL ones, the odds of having less use of mobile phone had increased over threefold, the odds of acquiring dependence in doing shopping had increased over six fold. Cognitive domains performances (i.e. executive, memory and visuo-spatial) were independently associated with maintaining mobile phone How to cite this paper: Vaccaro, R., Colombo, M., Abbondanza, S., Rolandi, E.,
“…They are also characterized as faster and more economical surveys to provide population estimates, since they minimize fieldwork time and costs with equipment and trained professionals [5]. …”
BackgroundSome studies have already explored the relationship between diabetes and hearing loss; however, this relationship has still not been well established, especially due to methodological limitations related to lack of control for confounders. The aim of this study was to analyze the association between self-reported hearing impairment and diabetes among adults in Brazil, controlling for sociodemographic and occupational exposure to ototoxic agents.MethodsThis is a cross-sectional study based on data collected by the National Health Survey of 2013 in Brazil. A total of 60,202 individuals aged≥18 years were interviewed. Crude and adjusted prevalence ratios were calculated using the Poisson regression model with robust estimation of the variance. All analyzes were performed considering the appropriated weights imposed by the complex sample design.ResultsHearing loss prevalence was 2.56% (95%CI: 2.34–2.79). It was higher in males, older age groups, white and individuals with lower levels of schooling. Diabetes was positively and significantly associated with hearing loss in the crude analysis (PRcrude = 2.92; 95%CI: 2.75–3.11) and also in the analysis adjusted for gender, age, skin color, schooling, smoking, alcohol consumption and occupational exposure (PRadj = 1.46; 95%CI: 1.32–1.61).ConclusionsThe present results suggest that individuals with diabetes have higher prevalence of hearing impairment. There is the need of longitudinal studies to investigate if diabetes is a risk factor to hearing impairment.
“…Especially, self-rated perception-related questionnaires by retirees with poor health might also have bias. While the KLoSA applied computer-assisted interviews by trained researchers to reduce these errors, these limitations are not specific to research based on the KLoSA, and have been reported for surveys of the elderly population in various countries worldwide, including for the Health and Retirement Study (HRS), ELSA, and SHARE 35 , 36 . More subjective measurements and reports are needed to ensure the reliability and validity, as well as the practical applicability, of the KLoSA questionnaires.…”
The aims of this study were to investigate the predictors and estimate the risk for early exit from work owing to poor personal health status of the retirees. This study analysed the longitudinal data of 2,708 workers aged more than 45 years old from the Korean Longitudinal Study of Ageing. Multivariate Cox regression analyses were conducted to identify the predictors and to build a prediction model for early exit from work due to poor health. Internal validation was performed using random split, and external validation using the English Longitudinal Study of Ageing. Over the 8-year follow-up, 124 workers exited work early because of poor health. Significant predictors for early exit from work due to poor health included hypertension (hazard ratio [HR], 1.52; 95% confidence interval [CI], 1.01–2.28), abnormal body mass index (HR, 1.60; 95% CI, 1.10–2.35), decreased grasping power index, and perceived health status. The prediction model designed to estimate the risk of unwanted early exit from work because of poor health status showed fair performance in both the internal and external validations. The current study revealed the specific determinants and the possibility of prediction of shortened working life due to poor health status.
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