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Hearing loss is a modifiable risk factor for dementia and cognitive decline. However, the association between cognition and hearing acuity at different frequencies is unknown. We aimed to assess the relationships between hearing acuity at different frequencies with global cognitive function and five domains of cognition among a low-income elderly population in northern rural China. A population-based cross-sectional study was conducted to collect basic information from elderly residents aged 60 years and older in rural areas of Tianjin, China from April 2012 to November 2013. Pure tone averages (PTAs) at different frequencies in the ear with better hearing and Mini-Mental State Examination (MMSE) scores were measured, and the relationships between these variables were assessed. A total of 737 residents aged 60 years or more were enrolled in this study, and the prevalence of hearing impairment was 60.7%. After adjusting for sex, age, education, income, smoking, drinking, systolic blood pressure (SBP), total cholesterol (TC), and low-density lipoprotein cholesterol level (LDL-C), MMSE score and immediate recall score were negatively associated with overall PTA (OPTA) at four frequencies (0.5, 1, 2, and 4 kHz), PTA at low frequencies (LPTA; 0.5, 1, and 2 kHz), and PTA at high frequencies (HPTA; 3, 4, and 8 kHz) in the ear with better hearing. Moreover, orientation score was negatively associated with OPTA and LPTA, and the attention and calculation scores were negatively associated with OPTA and HPTA. Each 10-dB increase in OPTA was associated with a MMSE score decrease of 0.464. Each 10-dB increase in LPTA or HPTA was associated with a MMSE score decrease of 0.441 (95% CI: −0.795, −0.086) and 0.351 (95% CI: −0.592, −0.110), respectively. The present study demonstrated significant but weak relationships between OPTA, LPTA, and HPTA with global cognitive function, as defined using MMSE scores; these relationships were independent of age, education, lifestyle factors, and laboratory test values. These results indicated that hearing was associated with cognitive decline among older individuals, who should be screened routinely to identify risk for cognitive decline. [ABSTRACT FROM AUTHOR]

Objective: As age-related diseases, chronic kidney disease and hearing impairment (HI) cause a serious socioeconomic burden. Due to structural similarities, there is a certain connection between kidney function and hearing, but there has been no large-scale epidemiological study in China that further explored this connection. Thus, this study aimed to explore the association between indicator levels of kidney function and hearing impairment among middle-aged and elderly individuals in Tianjin, China.Method: In 2020, 1539 participants aged 45 years or older from Tianjin, China, were recruited into this study. All participants completed questionnaire surveys and underwent physical examinations, laboratory examinations, and hearing tests. The estimated glomerular filtration rate (eGFR) was calculated from serum creatinine (Cre) levels. HI was measured using pure-tone audiometry, and audiologists determined the final diagnoses.Result: The prevalence of HI was 49.97%. With each 1-mL/min/1.73 m2 increase in eGFR, the overall odds of HI increased by 1.3%; the risk increased by 2.4% and 1.6% for men and people aged 45-65 years, respectively. In contrast, in women, the odds of HI increased as Cre levels increased. Moreover, with each 1-mL/min/1.73 m2 increase in eGFR, the overall odds of a one-degree increase in hearing loss increased by 1.7%; the odds increased by 2.3% and 1.5% for men and people aged 45-65 years, respectively. However, in women and people aged ≥65 years, the odds of a one-grade increase in hearing loss increased by 2.1% and 1.5%, respectively, with each 1-µmol/L increase in Cre. In addition, there were no significant relationships between blood urea nitrogen and hearing loss in multivariate analysis (all P > 0.05).Conclusions: These findings suggest that eGFR and serum Cre are effective predictors of hearing loss. Thus, to decrease the burden of HI, hearing should be carefully monitored for people aged ≥45 years with elevated serum Cre and eGFR. [ABSTRACT FROM AUTHOR]

Objective: Over the past few decades, the prevalence of hearing impairment (HI) has rapidly increased, making HI one of the most common causes of disability, globally. The burden of HI is particularly heavy in low socioeconomic status populations. Despite extensive research into the range of HI prevalence in low socioeconomic status populations, worldwide, population-based studies have been rare. Thus, we explored HI prevalence and risk factors among low-income, middle-aged and elderly individuals in Tianjin, China. Method: Between September and November 2013, 2351 rural residents in Tianjin, China were recruited into the study. All participants completed questionnaire surveys, physical examinations, laboratory examinations, and hearing tests. HI was measured using pure-tone audiometry, and audiologists determined the final diagnoses.Results: Among the 2351 participants, ≥45 years old, the prevalence of HI was 49.3%, including 54.3% among men and 46.0% among women. Slight HI accounted for the largest proportion of individuals (40.7%). The risk of HI among men was 32.9% higher than among women. Moreover, the risk of HI increased with increasing age. Compared with the 45–54-year-old group, the risk of HI in individuals in the 55–64-year-old, 65–74-year-old, and ≥75-year-old groups were 25.8%, 109.9%, and 373.7% higher, respectively. Moreover, increased with each 1-mmHg SBP, the risk of HI increase 0.7% (95%CI: 1.001–1.013; P = 0.017); while increased with each 1-mmHg DBP, the risk of HI decrease 1.7% (95%CI: 0.973–0.993; P = 0.001) Conclusions: The burden of HI in rural northern China is heavy, especially among elderly men and people with elevated systolic blood pressure (SBP). Addressing HI prevention is critical for reducing the HI burden and improving quality of life. [ABSTRACT FROM AUTHOR]

Antibiotic resistance genes (ARGs), especially last-resort ARGs (LARGs), are receiving extensive attention as emerging environmental contaminants in groundwater. However, their prevalent intracellular and extracellular patterns and bacterial sources in groundwater remain unclear. Herein, groundwater samples were collected in Tianjin, and characterized based on the profiles of intracellular ARGs (iARGs) and extracellular ARGs (eARGs), as well as the resident bacterial communities and extracellular DNA (eDNA)-releasing bacterial communities. The quantitative real-time PCR assays showed that eARGs presented fewer subtypes than iARGs and generally displayed lower detection frequencies than the corresponding iARGs. Similarly, LARGs exhibited lower detection frequencies than common ARGs, but the total abundance showed no significant differences between them. Genes vanA and bla VIM were the observed dominant LARGs, and aadA was the observed common ARG independent of location inside or outside the bacteria. Furthermore, the top 10 phyla showed much difference between the main eDNA-releasing bacteria and the dominant resident bacteria. Proteobacteria was the predominant resident bacterial phyla while dominating the source of eDNA in groundwater. Despite representing a minor portion of the abundance in the resident bacteria, Actinobacteriota , Acidobacteriota , and Chloroflex surprisingly accounted for a large majority of eDNA release. Co-occurrence patterns among persistent ARGs, the resident bacteria, and eDNA-releasing bacteria revealed that the dominant common iARG aadA and intracellular LARGs bla VIM and vanA had significant positive correlations with Methylobacterium_Methylorubrum and Shewanella. Meanwhile, the dominant extracellular LARG bla VIM may be released by bacteria belonging to at least five genera, including Ellin6067 , Bifidobacterium , Blautia , Veillonella , and Dechloromonas. Collectively, the findings of this study extend our understanding regarding the distribution of ARGs and their bacterial sources in groundwater, and indicate the serious pollution of LARGs in groundwater, which poses potential risks to public health. [Display omitted] • eARGs presented fewer subtypes and lower detection frequencies than iARGs. • No significant difference was noted in the abundance of the common ARGs and LARGs. • Gene aadA was detected as dominant in common ARGs, while vanA and bla VIM in LARGs. • Proteobacteria was dominant in both the resident and eDNA-releasing phyla. [ABSTRACT FROM AUTHOR]

Viral waterborne diseases are widespread in cities due largely to the occurrence of enteric viruses in urban rivers, which pose a significant concern to human health. Yet, the application of rapid detection technology for enteric viruses in environmental water remains undeveloped globally. Here, multiple linear regression (MLR) modeling and artificial neural network (ANN) modeling, which used frequently measured physicochemical parameters in river water, were constructed to predict the concentration of enteric viruses including human enteroviruses (EnVs), rotaviruses (HRVs), astroviruses (AstVs), noroviruses GⅡ (HuNoVs GⅡ), and adenoviruses (HAdVs) in rivers. After training, testing, and validating, ANN models showed better performance than any MLR model for predicting the viral concentration in Jinhe River. All determined R -values for ANN models exceeded 0.89, suggesting a strong correlation between the predicted and measured outputs for target enteric viruses. Furthermore, ANN models provided a better congruence between the observed and predicted concentrations of each virus than MLR models did. Together, these findings strongly suggest that ANN modeling can provide more accurate and timely predictions of viral concentrations based on frequent (or routine) measurements of physicochemical parameters in river water, which would improve assessments of waterborne disease prevalence in cities. [Display omitted] Our study is the first to analyze correlations between enteric viruses' concentration and water quality over a 4-year period in Jinhe River (Tianjin, China), MLR and ANN models were built and validated to predict enteric viruses including EnVs, HRVs, AstVs, HuNoVs GII, and HAdVs in urban rivers. This study provides a beneficial tool to predict the real-time occurrence of enteric viruses in urban surface water, which should help to better assess the prevalence of waterborne disease in cities. • ANN models accurately predicted enteric viruses' concentration in Tianjin's rivers. • ANN outperformed MLR models in predicting enteric viruses' concentration in Tianjin's rivers. • ANN models hold promise to predict virus concentrations in urban rivers rapidly. [ABSTRACT FROM AUTHOR]