Association of coffee consumption with the prevalence of hearing loss in US adults, NHANES 2003-2006

Abstract Objective: This study aims to explore the association between coffee consumption and the prevalence of hearing loss in American adults based on a national population-based survey. Design: Cross-sectional analysis of reported audiometric status and coffee intake from the 2003-2006 National Health and Nutrition Examination Survey (NHANES). Multivariate logistic regression, forest plots and restricted cubic spline (RCS) analyses were used to explore the associations and dose-response relationships between coffee consumption frequency and hearing loss. Setting: The USA. Participant: This study included 1894 individuals aged ≥ 20 from the 2003-2006 NHANES. Results: In this study, the prevalence of speech-frequency hearing loss (SFHL) and high-frequency hearing loss (HFHL) among the participants was 35.90% and 51.54%, respectively. Compared with those who no consumed coffee, non-Hispanic White who consumed ≥ 4 cups/d had higher prevalence of SFHL (Odds Ratio[OR]: 1.87; 95% Confidence Interval[CI]: 1.003-3.47). And a positive trend of coffee consumption frequency with the prevalence of HFHL was found (P trend = 0.001). This association of HFHL was similar for aged 20-64 participants (P trend = 0.001), non-Hispanic White (P trend = 0.002), non-noise exposure participants (P trend = 0.03), and noise exposed participants (P trend = 0.003). The forest plots analysis found that the association between 1 cup-increment of daily coffee consumption and the prevalence of HFHL was statistically significant in males. RCS model supported a positive linear association of coffee consumption with SFHL (P for overall association = 0.02, P for nonlinearity = 0.48), and a positive non-linear association of coffee consumption with HFHL (P for overall association = 0.001, P for nonlinearity = 0.001). Conclusion: Our findings suggested that coffee consumption was associated with higher prevalence of hearing loss. Further cohort studies in larger population are needed to investigate these findings

Research and Application of Transformer-User Identification Technology Based On Fault Diagnosis of Electrical Information Acquisition Equipment

The line loss rate of power supply enterprises is an important economic and technical index, which directly reflects the lean level of marketing professional management of power supply enterprises. At present, the confusion of transformer-user archives in transformer area is still widespread, which is a key issue in line loss management in power supply enterprises. As the downlink communication channel, low-voltage power line carrier can realize cross-station reading, which brings great difficulties to the identification of transformer-user relation. Because the data of calculating the line loss rate of the transformer area depends on the electrical information acquisition system, the running state of the electrical information acquisition equipment is also one of the important factors affecting the line loss rate of the transformer area. This paper will focus on the fault diagnosis technology of electrical information acquisition equipment, and use it to carry out the identification of transformer-user transformers

Research on Fault Diagnosis Optimization of Intelligent Acquisition Terminal

Intelligent acquisition terminal is an important medium for power users to collect electric energy data and load data. It realizes centralized collection of electricity information through local and remote communication technology. With the continuous development of communication technology, the acquisition terminal is becoming more and more intelligent and its functions are becoming more and more complex. The content of field equipment fault diagnosis analysis technology is getting higher and higher. This paper combines with the current intelligent acquisition terminal fault diagnosis mode to optimize the research, from the technical and management aspects, makes an analysis of the causes of acquisition anomalies and the lack of means, and puts forward reasonable efficiency improvement suggestions

Clinical features of patients with previous spontaneous rupture of ovarian endometrioma operated electively: a case-control study

Abstract Background The aim of the study is to investigate the proportion and clinical features of previous spontaneously ruptured ovarian endometrioma among women who underwent elective surgery for endometrioma. Methods This retrospective study was based on a cohort of elective surgeries for endometrioma performed by the same gynecologic team at Peking Union Medical College Hospital from January 2017 to October 2022. Patients diagnosed with previous spontaneously ruptured endometrioma during elective surgery were enrolled in the ruptured group. In the same cohort, patients with unruptured endometrioma treated during the same period were selected as the unruptured group by 1:2 matching according to age. Demographic and clinical information were collected and compared between two groups. Results A total of 422 patients in the cohort were diagnosed with endometrioma. There were 38 patients (9.0%) in ruptured group and 76 patients in unruptured group. All enrolled participants were treated by laparoscopic surgery. In ruptured group, 86.8% patients had a history of acute abdominal pain, which was only 13.2% in unruptured group (P < 0.001). Compared to unruptured group, patients diagnosed with ruptured endometrioma had a lower BMI (P = 0.021), larger maximum diameter of endometrioma (P = 0.040), higher proportion of cul-de-sac partial obliteration rather than complete obliteration (P = 0.003). Conclusions Spontaneous rupture of endometrioma is not rare. The proportion of spontaneous rupture of endometrioma in our study was higher than that reported in the literatures. In women with endometrioma, the onset of acute abdominal pain should be considered a rupture of cyst, especially in patients with big cysts