Δευτέρα 2 Απριλίου 2018

Explaining Discrepancies Between the Digit Triplet Speech-in-Noise Test Score and Self-Reported Hearing Problems in Older Adults

Purpose
The purpose of this study is to determine which demographic, health-related, mood, personality, or social factors predict discrepancies between older adults' functional speech-in-noise test result and their self-reported hearing problems.
Method
Data of 1,061 respondents from the Longitudinal Aging Study Amsterdam were used (ages ranged from 57 to 95 years). Functional hearing problems were measured using a digit triplet speech-in-noise test. Five questions were used to assess self-reported hearing problems. Scores of both hearing measures were dichotomized. Two discrepancy outcomes were created: (a) being unaware: those with functional but without self-reported problems (reference is aware: those with functional and self-reported problems); (b) reporting false complaints: those without functional but with self-reported problems (reference is well: those without functional and self-reported hearing problems). Two multivariable prediction models (logistic regression) were built with 19 candidate predictors. The speech reception threshold in noise was kept (forced) as a predictor in both models.
Results
Persons with higher self-efficacy (to initiate behavior) and higher self-esteem had a higher odds to being unaware than persons with lower self-efficacy scores (odds ratio [OR] = 1.13 and 1.11, respectively). Women had a higher odds than men (OR = 1.47). Persons with more chronic diseases and persons with worse (i.e., higher) speech-in-noise reception thresholds in noise had a lower odds to being unaware (OR = 0.85 and 0.91, respectively) than persons with less diseases and better thresholds, respectively. A higher odds to reporting false complaints was predicted by more depressive symptoms (OR = 1.06), more chronic diseases (OR = 1.21), and a larger social network (OR = 1.02). Persons with higher self-efficacy (to complete behavior) had a lower odds (OR = 0.86), whereas persons with higher self-esteem had a higher odds to report false complaints (OR = 1.21). The explained variance of both prediction models was small (Nagelkerke R 2 = .11 for the unaware model, and .10 for the false complaints model).
Conclusions
The findings suggest that a small proportion of the discrepancies between older individuals' results on a speech-in-noise screening test and their self-reports of hearing problems can be explained by the unique context of these individuals. The likelihood of discrepancies partly depends on a person's health (chronic diseases), demographics (gender), personality (self-efficacy to initiate behavior and to persist in adversity, self-esteem), mood (depressive symptoms), and social situation (social network size). Implications are discussed.

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Explaining Discrepancies Between the Digit Triplet Speech-in-Noise Test Score and Self-Reported Hearing Problems in Older Adults

Purpose
The purpose of this study is to determine which demographic, health-related, mood, personality, or social factors predict discrepancies between older adults' functional speech-in-noise test result and their self-reported hearing problems.
Method
Data of 1,061 respondents from the Longitudinal Aging Study Amsterdam were used (ages ranged from 57 to 95 years). Functional hearing problems were measured using a digit triplet speech-in-noise test. Five questions were used to assess self-reported hearing problems. Scores of both hearing measures were dichotomized. Two discrepancy outcomes were created: (a) being unaware: those with functional but without self-reported problems (reference is aware: those with functional and self-reported problems); (b) reporting false complaints: those without functional but with self-reported problems (reference is well: those without functional and self-reported hearing problems). Two multivariable prediction models (logistic regression) were built with 19 candidate predictors. The speech reception threshold in noise was kept (forced) as a predictor in both models.
Results
Persons with higher self-efficacy (to initiate behavior) and higher self-esteem had a higher odds to being unaware than persons with lower self-efficacy scores (odds ratio [OR] = 1.13 and 1.11, respectively). Women had a higher odds than men (OR = 1.47). Persons with more chronic diseases and persons with worse (i.e., higher) speech-in-noise reception thresholds in noise had a lower odds to being unaware (OR = 0.85 and 0.91, respectively) than persons with less diseases and better thresholds, respectively. A higher odds to reporting false complaints was predicted by more depressive symptoms (OR = 1.06), more chronic diseases (OR = 1.21), and a larger social network (OR = 1.02). Persons with higher self-efficacy (to complete behavior) had a lower odds (OR = 0.86), whereas persons with higher self-esteem had a higher odds to report false complaints (OR = 1.21). The explained variance of both prediction models was small (Nagelkerke R 2 = .11 for the unaware model, and .10 for the false complaints model).
Conclusions
The findings suggest that a small proportion of the discrepancies between older individuals' results on a speech-in-noise screening test and their self-reports of hearing problems can be explained by the unique context of these individuals. The likelihood of discrepancies partly depends on a person's health (chronic diseases), demographics (gender), personality (self-efficacy to initiate behavior and to persist in adversity, self-esteem), mood (depressive symptoms), and social situation (social network size). Implications are discussed.

from #Audiology via xlomafota13 on Inoreader https://ift.tt/2EeqKov
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Explaining Discrepancies Between the Digit Triplet Speech-in-Noise Test Score and Self-Reported Hearing Problems in Older Adults

Purpose
The purpose of this study is to determine which demographic, health-related, mood, personality, or social factors predict discrepancies between older adults' functional speech-in-noise test result and their self-reported hearing problems.
Method
Data of 1,061 respondents from the Longitudinal Aging Study Amsterdam were used (ages ranged from 57 to 95 years). Functional hearing problems were measured using a digit triplet speech-in-noise test. Five questions were used to assess self-reported hearing problems. Scores of both hearing measures were dichotomized. Two discrepancy outcomes were created: (a) being unaware: those with functional but without self-reported problems (reference is aware: those with functional and self-reported problems); (b) reporting false complaints: those without functional but with self-reported problems (reference is well: those without functional and self-reported hearing problems). Two multivariable prediction models (logistic regression) were built with 19 candidate predictors. The speech reception threshold in noise was kept (forced) as a predictor in both models.
Results
Persons with higher self-efficacy (to initiate behavior) and higher self-esteem had a higher odds to being unaware than persons with lower self-efficacy scores (odds ratio [OR] = 1.13 and 1.11, respectively). Women had a higher odds than men (OR = 1.47). Persons with more chronic diseases and persons with worse (i.e., higher) speech-in-noise reception thresholds in noise had a lower odds to being unaware (OR = 0.85 and 0.91, respectively) than persons with less diseases and better thresholds, respectively. A higher odds to reporting false complaints was predicted by more depressive symptoms (OR = 1.06), more chronic diseases (OR = 1.21), and a larger social network (OR = 1.02). Persons with higher self-efficacy (to complete behavior) had a lower odds (OR = 0.86), whereas persons with higher self-esteem had a higher odds to report false complaints (OR = 1.21). The explained variance of both prediction models was small (Nagelkerke R 2 = .11 for the unaware model, and .10 for the false complaints model).
Conclusions
The findings suggest that a small proportion of the discrepancies between older individuals' results on a speech-in-noise screening test and their self-reports of hearing problems can be explained by the unique context of these individuals. The likelihood of discrepancies partly depends on a person's health (chronic diseases), demographics (gender), personality (self-efficacy to initiate behavior and to persist in adversity, self-esteem), mood (depressive symptoms), and social situation (social network size). Implications are discussed.

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Complex versus Standard Fittings: Part 3

In Part 3, the discussion focuses on fitting techniques to use on cases which are out of the norm. Those difficult cases that occur when there is an increased level of distortion in the auditory system which are not typically covered in research or clinical literature.

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Hearing Loss and Emotions

A recent research study at Phonak Audiology Research Center (PARC), along with a body of currently existing evidence on emotion, suggests significant difficulty of hearing impaired listeners to understand the emotional intent of a talker as compared to normal hearing listeners. This course will review these findings and discuss how they suggest that hearing loss may have a broader impact on social well-being.

from #Audiology via ola Kala on Inoreader https://ift.tt/2GqXaC7
via IFTTT

Complex versus Standard Fittings: Part 3

In Part 3, the discussion focuses on fitting techniques to use on cases which are out of the norm. Those difficult cases that occur when there is an increased level of distortion in the auditory system which are not typically covered in research or clinical literature.

from #Audiology via xlomafota13 on Inoreader https://ift.tt/2pYnxEs
via IFTTT

Hearing Loss and Emotions

A recent research study at Phonak Audiology Research Center (PARC), along with a body of currently existing evidence on emotion, suggests significant difficulty of hearing impaired listeners to understand the emotional intent of a talker as compared to normal hearing listeners. This course will review these findings and discuss how they suggest that hearing loss may have a broader impact on social well-being.

from #Audiology via xlomafota13 on Inoreader https://ift.tt/2GqXaC7
via IFTTT

Complex versus Standard Fittings: Part 3

In Part 3, the discussion focuses on fitting techniques to use on cases which are out of the norm. Those difficult cases that occur when there is an increased level of distortion in the auditory system which are not typically covered in research or clinical literature.

from #Audiology via ola Kala on Inoreader https://ift.tt/2pYnxEs
via IFTTT

Hearing Loss and Emotions

A recent research study at Phonak Audiology Research Center (PARC), along with a body of currently existing evidence on emotion, suggests significant difficulty of hearing impaired listeners to understand the emotional intent of a talker as compared to normal hearing listeners. This course will review these findings and discuss how they suggest that hearing loss may have a broader impact on social well-being.

from #Audiology via ola Kala on Inoreader https://ift.tt/2GqXaC7
via IFTTT