Association between triglyceride/high-density lipoprotein ratio and hearing impairment in a Korean population

Jung, Da Jung; Young, Jun; Cho, Kyu Hyang; Kim, A. Young; Kang, Seok Hui

doi:10.1080/00325481.2017.1381538

Cited by 5 publications

(5 citation statements)

References 27 publications

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“…When mitochondria fail, the vasculature of the inner ear is one of the primary sites of injury, and elevated blood glucose will ultimately cause marginal cell damage and necrosis (40). As previously reported (41,42), HI is associated with increased triglycerides and decreased High-density lipoprotein (HDL). In spite of the fact that the underlying mechanisms of triglycerideinduced HI and HI pathogenesis are still unclear, altered microcirculation in the inner ear may have a profound effect on these conditions.…”

Section: Discussionmentioning

confidence: 93%

Correlation between hearing impairment and the Triglyceride Glucose Index: based on a national cross-sectional study

Liu,

Qin,

et al. 2023

Front. Endocrinol.

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ObjectiveData from the National Health and Nutrition Examination Survey (NHANES) were used to assess the association between the triglyceride-glucose (TyG) index and hearing impairment (HI).MethodsWe used eight survey cycles from NHANES 2001–2012 and 2015–2018 to conduct this cross-sectional study. HI was designed as an dependent variable, and the TyG index was selected as an exposure factor (independent variable). The correlation between the two variables was assessed using multiple logistic regression. In order to assess whether there was a non-linear relationship between the TyG index and HI, the TyG index was distributed and a test for trend was conducted (P for trend), followed by smooth curve fitting (penalized spline) and generalized additive model (GAM) regression. We also performed a subgroup analysis to identify sensitive groups whose responses were clearly associated with independent variables.Results10,906 participants were finally included in the study, and those with a higher TyG index had a higher frequency of hearing impairment. There was a linear positive correlation between the TyG index and HI. For the low-frequency HI, however, this positive correlation was not statistically significant (OR = 1.05, 95% CI: 0.98, 1.14); however, it was more stable for the high-frequency HI (OR = 1.12, 95% CI: 1.03, 1.22). Additionally, as the TyG index increased, this positive association increased as well (P for trend = 0.05). The HPTA test showed a positive association with more severe HI (simultaneous) as the independent variable increased (OR = 1.14, 95% CI: 1.05–1.24), and this association was even more significant with increasing severity (P for trend 0.05). According to the subgroup analysis, the positive association between TyG index and high-frequency HI was more significant in females, 40–69 years old, without hypertension or diabetes, and when strict high-frequency HI was significant in males, females, 40–69 years old, with hypertension and diabetes.ConclusionParticipants with a higher TyG index may have a higher risk of HI. TyG index and HI risk showed a linear relationship, which became even more significant when HPTA was included.

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Section: Discussionmentioning

confidence: 93%

Correlation between hearing impairment and the Triglyceride Glucose Index: based on a national cross-sectional study

Liu,

Qin,

et al. 2023

Front. Endocrinol.

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“…Decreased nitric oxide production and increased reactive oxygen levels due to dyslipidemia can lead to hearing damage [ 22 , 37 , 38 , 39 ]. Furthermore, HDL was shown to have anti-inflammatory, antioxidant, and anti-apoptotic effects that can attenuate the pathological changes caused by dyslipidemia [ 34 , 40 ] High TG/HDL ratio has been associated with hearing loss [ 23 ] as has low HDL [ 3 ].…”

Section: Discussionmentioning

confidence: 99%

“…For example, one study in US adults found that low HDL correlated with hearing loss, with low HDL being most responsible for the correlation between hearing loss and metabolic syndrome. [ 3 ] Two studies in the Korean population reported that low HDL and high TG were highly correlated with hearing loss, [ 11 , 23 ] and one study in a Chinese population reported that hearing loss was positively correlated with low HDL, hyperglycemia, and central obesity [ 7 ].…”

Section: Discussionmentioning

confidence: 99%

Association of Metabolic Syndrome with Sensorineural Hearing Loss

Rim

Kim

Park

et al. 2021

JCM

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The prevalence of sensorineural hearing loss has increased along with increases in life expectancy and exposure to noisy environments. Metabolic syndrome (MetS) is a cluster of co-occurring conditions that increase the risk of heart disease, stroke and type 2 diabetes, along with other conditions that affect the blood vessels. Components of MetS include insulin resistance, body weight, lipid concentration, blood pressure, and blood glucose concentration, as well as other features of insulin resistance such as microalbuminuria. MetS has become a major public health problem affecting 20–30% of the global population. This study utilized health examination to investigate whether metabolic syndrome was related to hearing loss. Methods: A total of 94,223 people who underwent health check-ups, including hearing tests, from January 2010 to December 2020 were evaluated. Subjects were divided into two groups, with and without metabolic syndrome. In addition, Scopus, Embase, PubMed, and Cochrane libraries were systematically searched, using keywords such as “hearing loss” and “metabolic syndrome”, for studies that evaluated the relationship between the two. Results: Of the 94,223 subjects, 11,414 (12.1%) had metabolic syndrome and 82,809 did not. The mean ages of subjects in the two groups were 46.1 and 43.9 years, respectively. A comparison of hearing thresholds by age in subjects with and without metabolic syndrome showed that the average pure tone hearing thresholds were significantly higher in subjects with metabolic syndrome than in subjects without it in all age groups. (p < 0.001) Rates of hearing loss in subjects with 0, 1, 2, 3, 4, and 5 of the components of metabolic syndrome were 7.9%, 12.1%, 13.8%, 13.8%, 15.5% and 16.3%, respectively, indicating a significant association between the number of components of metabolic syndrome and the rate of hearing loss (p < 0.0001). The odds ratio of hearing loss was significantly higher in subjects with four components of metabolic syndrome: waist circumference, blood pressure, and triglyceride and fasting blood sugar concentrations (p < 0.0001). (4) Conclusions: The number of components of the metabolic syndrome is positively correlated with the rate of sensorineural hearing loss.

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“…Currently, well-known HI risk factors in the general population include age [ 9 ], genetics, behavioural factors (e.g., smoking and exercise) [ 10 ], environmental exposures (e.g., noise exposure), health care utilization factors (e.g., immunization and antibiotics), and chronic disorders (e.g., hypertension and diabetes) [ 11 ]. Furthermore, various biomarkers involved in inflammation (such as increased white blood cell (WBC) counts, neutrophil (NE) counts, monocyte (MO) counts, and lymphocyte (LY) counts) and metabolic parameters (such as low-density lipoprotein (LDL) and high-density lipoprotein (HDL)) are also recognized as risk indicators of HI [ 12 ]. Chronic changes in inflammatory status that accompany the ageing process, known as inflammation, may cause or accelerate long-term damage to the hearing system [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

“…Red blood cell distribution width (RDW), a parameter used to classify anaemia, was recently reported to be associated with inflammation and microcirculation disorders [ 14 ]. HDL and LDL have been reported to affect blood supply and thus may potentially influence sudden sensorineural HI [ 12 ]. While several studies have attempted to investigate the relationships between HI and blood inflammation and metabolic parameters, limited studies have used these parameters to predict HI.…”

Section: Introductionmentioning

confidence: 99%

A machine learning screening model for identifying the risk of high-frequency hearing impairment in a general population

Wang,

Yao,

Wang

et al. 2024

BMC Public Health

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Background Hearing impairment (HI) has become a major public health issue in China. Currently, due to the limitations of primary health care, the gold standard for HI diagnosis (pure-tone hearing test) is not suitable for large-scale use in community settings. Therefore, the purpose of this study was to develop a cost-effective HI screening model for the general population using machine learning (ML) methods and data gathered from community-based scenarios, aiming to help improve the hearing-related health outcomes of community residents. Methods This study recruited 3371 community residents from 7 health centres in Zhejiang, China. Sixty-eight indicators derived from questionnaire surveys and routine haematological tests were delivered and used for modelling. Seven commonly used ML models (the naive Bayes (NB), K-nearest neighbours (KNN), support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGBoost), boosting, and least absolute shrinkage and selection operator (LASSO regression)) were adopted and compared to develop the final high-frequency hearing impairment (HFHI) screening model for community residents. The model was constructed with a nomogram to obtain the risk score of the probability of individuals suffering from HFHI. According to the risk score, the population was divided into three risk stratifications (low, medium and high) and the risk factor characteristics of each dimension under different risk stratifications were identified. Results Among all the algorithms used, the LASSO-based model achieved the best performance on the validation set by attaining an area under the curve (AUC) of 0.868 (95% confidence interval (CI): 0.847–0.889) and reaching precision, specificity and F-score values all greater than 80%. Five demographic indicators, 7 disease-related features, 5 behavioural factors, 2 environmental exposures, 2 hearing cognitive factors, and 13 blood test indicators were identified in the final screening model. A total of 91.42% (1235/1129) of the subjects in the high-risk group were confirmed to have HI by audiometry, which was 3.99 times greater than that in the low-risk group (22.91%, 301/1314). The high-risk population was mainly characterized as older, low-income and low-educated males, especially those with multiple chronic conditions, noise exposure, poor lifestyle, abnormal blood indices (e.g., red cell distribution width (RDW) and platelet distribution width (PDW)) and liver function indicators (e.g., triglyceride (TG), indirect bilirubin (IBIL), aspartate aminotransferase (AST) and low-density lipoprotein (LDL)). An HFHI nomogram was further generated to improve the operability of the screening model for community applications. Conclusions The HFHI risk screening model developed based on ML algorithms can more accurately identify residents with HFHI by categorizing them into the high-risk groups, which can further help to identify modifiable and immutable risk factors for residents at high risk of HI and promote their personalized HI prevention or intervention.

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Association between triglyceride/high-density lipoprotein ratio and hearing impairment in a Korean population

Abstract: High TG/HDL-C ratio was associated with hearing impairment in a Korean population.

Cited by 5 publications

References 27 publications

Correlation between hearing impairment and the Triglyceride Glucose Index: based on a national cross-sectional study

Correlation between hearing impairment and the Triglyceride Glucose Index: based on a national cross-sectional study

Association of Metabolic Syndrome with Sensorineural Hearing Loss

A machine learning screening model for identifying the risk of high-frequency hearing impairment in a general population

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