Literature DB >> 29909806

Age and sex differences in hearing loss association with depressive symptoms: analyses of NHANES 2011-2012.

Franco Scinicariello1, Jennifer Przybyla1, Yulia Carroll2, John Eichwald2, John Decker2, Patrick N Breysse3.   

Abstract

BACKGROUND: Depression is a common and significant health problem. Hearing loss is the third most common chronic physical condition in the USA and might be a factor in depression. To determine whether hearing loss is associated with depressive symptoms in US adults ages 20-69 years.
METHODS: National Health and Nutrition Examination Survey (NHANES) data (2011-2012) were used to assess the potential relationship between hearing loss and depression, in adults (20-69 years) who answered the Patient Health Questionnaire (PHQ-9) depression screening module, with pure tone audiometry measurements, and complete information on the co-variates data (n = 3316). The degree of speech-frequency hearing loss (SFHL) and high-frequency hearing loss (HFHL) were defined as slight/mild hearing loss ⩾26-40 dB; moderate/worse hearing loss ⩾41 dB by pure tone audiometry examination.
RESULTS: Moderate/worse HFHL was statistically significantly associated with depressive symptoms (OR 1.54, 95% CL 1.04-2.27) when the analyses were conducted among all participants. Further stratification by gender and age groups found that moderate/worse HFHL (OR 3.85, 95% CL 1.39-10.65) and moderate/worse SFHL (OR 5.75, 95% CL 1.46-22.71) were associated with depressive symptoms in women ages 52-69 years.
CONCLUSIONS: Moderate/worse speech frequency and HFHL are associated with depression in women ages 52-69 years, independent of other risk factors. Hearing screenings are likely to reduce delays in diagnosis and provide early opportunities for noise prevention counseling and access to hearing aids. Health professionals should be aware of depressive signs and symptoms in patients with hearing loss.

Entities:  

Keywords:  Depression; NHANES; PHQ-9 Patient Health Questionnaire; hearing loss; sex

Mesh:

Year:  2018        PMID: 29909806      PMCID: PMC8114788          DOI: 10.1017/S0033291718001617

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  37 in total

1.  Impact of hearing difficulty on dependence in activities of daily living (ADL) and mortality: a 3-year cohort study of community-dwelling Japanese older adults.

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4.  Hearing loss and cognition among older adults in the United States.

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Journal:  J Gerontol A Biol Sci Med Sci       Date:  2011-07-18       Impact factor: 6.053

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Journal:  Int J Geriatr Psychiatry       Date:  2013-03-22       Impact factor: 3.485

8.  Gender difference in the relationships between vision and hearing impairments and negative well-being.

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Review 9.  The epidemiology of depression across cultures.

Authors:  Ronald C Kessler; Evelyn J Bromet
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Journal:  Lancet       Date:  2017-07-20       Impact factor: 202.731

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  5 in total

Review 1.  Sex-based Differences in Hearing Loss: Perspectives From Non-clinical Research to Clinical Outcomess.

Authors:  Dillan F Villavisanis; Elisa R Berson; Amanda M Lauer; Maura K Cosetti; Katrina M Schrode
Journal:  Otol Neurotol       Date:  2020-03       Impact factor: 2.311

2.  Hearing Loss and Physical Functioning Among Adults with Heart Failure: Data from NHANES.

Authors:  Michael F Cosiano; Deanna Jannat-Khah; Frank R Lin; Parag Goyal; Michael McKee; Madeline R Sterling
Journal:  Clin Interv Aging       Date:  2020-05-06       Impact factor: 4.458

3.  Hearing Therapy Improves Tinnitus-Related Distress in Mildly Distressed Patients with Chronic Tinnitus and Mild-to-Moderate Hearing Loss: A Randomized-Controlled Cross-Over Design.

Authors:  Benjamin Boecking; Leonie Rausch; Stamatina Psatha; Amarjargal Nyamaa; Juliane Dettling-Papargyris; Christine Funk; Petra Brueggemann; Matthias Rose; Birgit Mazurek
Journal:  J Clin Med       Date:  2022-03-22       Impact factor: 4.241

4.  Association of sleep duration and noise exposure with hearing loss among Chinese and American adults: two cross-sectional studies.

Authors:  E Wu; Juntao Ni; Lin Tao; Zhaohui Zhu; Hongquan Xu; Jun Ci; Tian Xie
Journal:  BMJ Open       Date:  2022-09-20       Impact factor: 3.006

5.  Machine learning model for depression based on heavy metals among aging people: A study with National Health and Nutrition Examination Survey 2017-2018.

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  5 in total

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