Threshold Effect Analysis Research Articles

Does internet use promote agricultural green development?Evidence from China

Based on the panel data of CFPS2016, 2018 and 2020 as samples, this paper empirically investigates the green development effect of internet use on farmers from the perspective of agricultural green total factor productivity. The research shows that farmers' internet use has significantly promoted the improvement of agricultural green total factor productivity. The mechanism analysis shows that farmers' internet use promotes the improvement of agricultural green total factor productivity in two ways: land transfer and adoption of agricultural production services. The threshold effect analysis shows that it is only when the level of human capital exceeds the threshold that farmers' internet use can have a positive impact on agricultural total factor productivity. The expansion analysis shows that in the context of urbanisation and marketization development, there is a substitution effect between urban development and internet use by rural households in the eastern region, and a complementarity effect between urban development and internet use by rural households in the central and western regions.

Impact of age, sex, and thyroid autoimmunity on the association between selenium intake and type 2 diabetes mellitus

BackgroundThe association between dietary selenium(Se) intake and type 2 diabetes mellitus (T2DM) remains controversial. The present study aimed to investigate this association using data from the National Health and Nutrition Examination Survey (NHANES) database for the years 2007–2012.MethodsThree thousand seventy three individuals aged 20 years and above were eligible for inclusion in this cross-sectional study. The average age of the participants was 50.74 years and the proportions of males and females were nearly equal (49.12% vs. 50.88%). The odds ratios (OR) of the association between dietary Se intake (log2-transformed) and T2DM were examined through the multivariate logistic regression model. Subgroup analyses were conducted based on age, sex, and thyroid autoimmunity to assess the potential impact of these variables on the relationship. Fitted smoothing curves and threshold effect analysis were conducted to describe the nonlinear relationship.ResultsIn the fully adjusted model, a significant positive association between Se intake and T2DM was observed (OR = 1.49, 95% CI: 1.16, 1.90, p = 0.0017). After stratifying the data by age, sex, and thyroid autoimmunity, a significant positive association between Se intake and T2DM was observed in individuals under 65 years of age, males, and those with negative thyroid autoimmunity. A two-segment linear regression model was analyzed for sex stratification, revealing a threshold effect in males with an inflection point of 90.51 μg, and an inverted U-shaped relationship in females with an inflection point of 109.90 μg, respectively.ConclusionsThe present study found a positive relationship between Se intake and the prevalence of T2DM. This association is particularly significant in younger individuals, males, and those with negative thyroid autoimmunity. Our results should be validated in future large prospective studies in different populations.

Association between baseline office blood pressure level and the incidence and development of long-term frailty in the community-dwelling very elderly with hypertension.

Frailty is the most important risk factor causing disability in the elderly. Hypertension is one of the most common chronic diseases in the elderly and is closely related to frailty, but there is still controversy about the association between blood pressure and frailty. To explore the association between baseline blood pressure level and the incident and development of long-term frailty in the community-dwelling very elderly (i.e., over 80 years old [1]) with hypertension, in order to provide a basis for scientific blood pressure management of very elderly hypertension. In this study, very elderly hypertensive patients who received comprehensive geriatric assessment from January to June 2019 and with complete data were included, and follow-up was conducted from January 1 to February 14, 2023. A total of 330 very elderly individuals with hypertension were enrolled in this study. FRAIL scale was used to evaluate frailty. Binomial logistic regression analysis was used to calculate the OR and 95%CI between baseline systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP) levels and long-term incident and development of frailty. The dose-response relationship between baseline office SBP, DBP or PP levels and incident frailty and its development was analyzed by Generalized Additive Model (GAM) using smooth curve fitting and threshold effect analysis. Smooth curve fitting and threshold effect analysis showed that the relationship between baseline office SBP level and incident frailty was U-shaped, with the nadir of the U-shaped curve at 135 mmHg after adjustment. Baseline office SBP, PP level and development frailty was U-shaped and the nadir was 140 mmHg and 77 mmHg. In the community-dwelling very elderly with hypertension, baseline office SBP level had a relationship with long-term incident frailty and its development and PP level had a relationship with long-term development of frailty.

Non-linear relationship between body roundness index and albuminuria among children and adolescents aged 8-19 years: A cross-sectional study.

Obesity has been found to be correlated with numerous health issues, including an elevated risk of albuminuria in adults. However, this correlation is still controversial among children and adolescents, as several recent large-scale cross-sectional studies have observed a negative correlation between obesity and albuminuria. Our study aimed to investigate the link between the body roundness index (BRI) and albuminuria among children and adolescents, in order to further understand the correlation between obesity and albuminuria in this demographic. We employed information from the National Health and Nutrition Examination Survey (NHANES) 1999-2010 for cross-sectional analysis. Weighted logistic regression was employed to explore the linear relationship between BRI and albuminuria, with subgroup analyses performed for more detailed insights. Weighted linear regression analysis was employed to explore the relationship between BRI and the urine albumin-creatinine ratio (UACR). Additionally, we applied smooth curve fitting to investigate their non-linear relationship and conducted threshold effect analysis to identify any turning point. In this study of 15,487 participants aged 8-19 years, multivariate logistic regression analysis revealed a significant negative correlation between BRI and albuminuria (OR = 0.616, 95%CI: 0.526-0.722). The relationship between BRI and UACR, as shown by multivariate linear regression analysis, was significantly inversely correlated (β: -5.424, 95%CI: -7.416 to -3.433). Furthermore, smooth curve fitting and threshold effect analysis showed a non-linear relationship between BRI and albuminuria, with a BRI inflection point identified at 2.906. These findings of our study suggest a significant nonlinear negative association between BRI and the presence of albuminuria among children and teenagers, and maintaining an appropriate BRI may decrease the occurrence of albuminuria in this population.

Analysis of the association between urinary glyphosate exposure and fatty liver index: a study for US adults

BackgroundNon-alcoholic fatty liver disease (NAFLD) is a prevalent condition that often goes unrecognized in the population, and many risk factors for this disease are not well understood. Glyphosate (GLY) is one of the most commonly used herbicides worldwide, and exposure to this chemical in the environment is significant. However, studies exploring the association between GLY exposure and NAFLD remain limited. Therefore, the aim of this study was to assess the association between urinary glyphosate (uGLY) level and fatty liver index (FLI) using data from the National Health and Nutrition Examination Survey (NHANES), which includes uGLY measurements.MethodsThe log function of uGLY was converted and expressed as Loge(uGLY) with the constant “e” as the base and used for subsequent analysis. The association between Loge(uGLY) (the independent variable) level and FLI (the dependent variable) was assessed by multiple linear regression analysis. Smoothing curve fitting and a generalized additive model were used to assess if there was a nonlinear association between the independent and the dependent variables. A subgroup analysis was used to find susceptible individuals of the association between the independent variable and the dependent variable.ResultsA final total of 2238 participants were included in this study. Participants were categorized into two groups (< -1.011 and ≥ -1.011 ng/ml) based on the median value of Loge(uGLY). A total of 1125 participants had Loge(uGLY) levels ≥ -1.011 ng/ml and higher FLI. The result of multiple linear regression analysis showed a positive association between Loge(uGLY) and FLI (Beta coefficient = 2.16, 95% CI: 0.71, 3.61). Smoothing curve fitting and threshold effect analysis indicated a linear association between Loge(uGLY) and FLI [likelihood ratio(LLR) = 0.364]. Subgroup analyses showed that the positive association between Loge(uGLY) and FLI was more pronounced in participants who were female, aged between 40 and 60 years, had borderline diabetes history, and without hypertension history. In addition, participants of races/ethnicities other than (Mexican American, White and Black) were particularly sensitive to the positive association between Loge(uGLY) and FLI.ConclusionsA positive linear association was found between Loge(uGLY) level and FLI. Participants who were female, 40 to 60 years old, and of ethnic backgrounds other than Mexican American, White, and Black, deserve more attention.

The impact of digital financial inclusion on China's energy consumption: does economic decentralization matter?

Based on China's provincial panel data from 2011 to 2020, this paper empirically analyzes the impact of digital financial inclusion(DFI) on regional energy consumption(ECI) using two-way fixed effects model, panel threshold effects model and instrumental variables regression. The results show that, firstly, DFI`s development has an obvious inhibitory effect on the intensity of regional energy consumption. Meanwhile, the heterogeneity analysis finds that there are obvious regional differences, differences in the degree of financial agglomeration and differences in their own dimensions in the inhibitory effect of DFI on regional energy consumption. Specifically, the energy-saving effect of digital finance is more obvious in the western region of China, in regions with a lower degree of financial agglomeration, and the strongest inhibitory effect is the breadth of digital inclusion coverage. In addition, the threshold effect analysis shows that the energy-saving effect of DFI not only increases with DFI`s development, but also exists in a non-linear pattern of significant "marginal increment" as the degree of economic decentralization increases. To this end, China should make greater efforts to develop DFI and optimize its industrial structure; formulate differentiated development policies that take into account the resource endowment, industrial structure and technological level of each region; and improve its macroeconomic governance system by taking into account the level of DFI`s development in the region, as well as the power of financial decision-making and financial management..

Sigmoidal relationship between liver fat content and nonalcoholic fatty liver disease in Chinese adults.

To explore the relationship between liver fat content (LFC) and nonalcoholic fatty liver disease (NAFLD) and determine the new threshold of LFC to diagnose NAFLD. The data from questionnaire survey, general physical examination, laboratory examination, and image examination were collected. Multivariate regression analysis, receiver operating characteristic curve analysis, smooth curve fitting, and threshold effect analysis were performed using the R software to investigate the relationship between LFC and NAFLD and to identify the new threshold of LFC to diagnose NAFLD. The prevalence of NAFLD was 30.42%, with a significantly higher prevalence in men than in women. Regression analyses demonstrated that LFC odds ratio [95% confidence interval (CI)] was 1.28 (95% CI: 1.24-1.31) in fully-adjust model. Analysis of the LFC quartile, with Q1 as a reference, revealed that the odds ratios of NAFLD were 1.47 (95% CI: 1.08-1.99), 2.29 (95% CI: 1.72-3.06), and 10.02 (95% CI: 7.45-13.47) for Q2, Q3, and Q4 groups, respectively. Smooth curve fitting and threshold effect analysis displayed a nonlinear relationship between LFC and NAFLD, and the threshold was 4.5%. The receiver operating characteristic curve indicated that when LFC was 4.5%, the area under curve (95% CI) was 0.80 (0.79-0.82), and the sensitivity and specificity of LFC in diagnosing NAFLD were 0.64% and 0.82%, respectively. The relationship between LFC and NAFLD was sigmoidal, with an inflection point of 4.5%.

Association between weight-adjusted waist index and serum total testosterone in males aged 6–19 years in the United States: Data from NHANES 2013–2016

ObjectiveThis study aimed to estimate the association between weight-adjusted waist index and serum total testosterone (sTT) in males aged 6–19 years in the United States. MethodsA cross-sectional study was conducted using data from the National Health and Nutrition Examination Survey (NHANES) 2013–2016. sTT was considered as the response variable, and weight-adjusted waist circumference index (WWI) as the independent variable. Multiple linear regression was performed to estimate the association between the two variables, and subgroup analysis was performed to identify sensitive cohorts. Smoothing curve fitting and threshold effects analysis was carried out to assess possible nonlinear relationships between WWI and sTT. ResultsThe study included 4207 participants. The mean value of sTT (117.93 ng/dl) was used as the grouping basis, with 1066 participants having serum total testosterone levels above the mean. A negative association was observed between WWI and sTT [beta coefficient (β) = −72.50, 95% confidence interval (CI): -79.45, −65.55], which decreased as WWI increased (P for trend<0.05). Subgroup analysis indicated a stronger negative correlation in late adolescent (16–19 years) males (β = −128.94, 95% CI: −146.75, −111.13). The smoothing curve fit analysis revealed a U-shaped curve relationship for the negative correlation between WWI and sTT. Threshold effect analysis suggested a significant change when WWI exceeded 10.09 (β = −15.82, 95% CI: −24.11, −7.54), and stepwise threshold effect analysis indicated that this negative correlation became less stable when WWI exceeded 11.45 (β = −0.80, 95% CI: −9.15, 7.56). ConclusionsParticipants with higher WWI exhibited lower total testosterone levels, and a negative association was found between WWI and total testosterone, particularly in late adolescent males aged 16–19 years. Among males aged 6–19 years, caution should be exercised regarding the risk of lower testosterone levels associated with elevated WWI, particularly when WWI is below 10.09.

Association Between Different Types of Physical Activity and Hepatic Steatosis and Liver Fibrosis: A Cross-Sectional Study Based on NHANES.

Many studies have shown a link between physical activity (PA) and nonalcoholic fatty liver disease (NAFLD). However, more research is needed to investigate the relationship between different types of PA and NAFLD. This study aimed to explore the potential link between different types of PA, hepatic steatosis, and liver fibrosis. A cross-sectional study was conducted using the data set from the National Health and Nutrition Examination Survey (NHANES) from 2017 to 2020. A multiple linear regression model was used to examine the linear relationship between different types of PA, the controlled attenuation parameter (CAP), and liver stiffness measurement (LSM). In addition, smoothing curve fitting and threshold effect analysis were used to depict their nonlinear relationship. This study involved 5933 adults. Multiple linear regression analysis revealed a significantly negative correlation between leisure-time PA and CAP, while the relationship between occupation-related PA, transportation-related PA, and CAP was not significant. Subgroup analysis further revealed that leisure-time PA was significantly negatively correlated with CAP in women and younger age groups (under 60y old), while the relationship was not significant in men and older age groups. In addition, there was a significant negative correlation between leisure-time PA and liver fibrosis in men. Leisure-time PA can prevent hepatic steatosis, and women and young people benefit more. Occupation-related PA is not associated with hepatic steatosis and cannot replace leisure-time PA. In men, increasing leisure-time PA is more effective in preventing liver fibrosis.

Relationship between SIRI and android and gynoid fat related to obesity and cardiovascular risk: a cross-sectional study of NHANES 2017-2018.

Inflammation has a crucial role in several metabolic diseases, such as obesity. The author aimed to investigate the relationship between the system inflammation response index (SIRI) and android fat composition and distribution. Data for individuals aged 8-59 years, SIRI, android percent fat, and android-to-gynoid ratio from the 2017 to 2018 National Health and Nutrition Examination Survey were used. Weighted multiple linear regression and smooth curve fitting were used to test for linear and nonlinear associations. Additional subgroup analyses were performed. Threshold effect analysis was performed using a two-linear regression model. Multiple linear regression showed a positive correlation between SIRI and android percent fat (β 0.92, 95% confidence interval [CI] 0.25-1.59) and between SIRI and the android-to-gynoid ratio (β 0.01, 95% CI 0.00-0.03) in 3783 Americans aged 8-59 years. The results showed that the effect of factors, other than smoking status, on the relationship between SIRI and android percent fat and android-to-gynoid ratio was not significant. There was a nonlinear relationship between SIRI and both android percent fat and android-to-gynoid ratio. Elevated SIRI levels were associated with an increased android percent fat and android-to-gynoid ratio. Larger prospective studies are needed to validate the findings.

A sonographic endometrial thickness

BackgroundThe prevalence of placenta accreta spectrum (PAS), a potentially life-threatening condition, has exhibited a significant global rise in recent decades. Effective screening methods and early identification strategies for PAS could enable early treatment and improved outcomes. Endometrial thickness (EMT) plays a crucial role in successful embryo implantation and favorable pregnancy outcomes. Extensive research has been conducted on the impact of EMT on assisted reproductive technology cycles, specifically in terms of pregnancy rates, live birth rates, and pregnancy loss rates. However, limited knowledge exists regarding the influence of EMT on PAS. ObjectiveThis study aims to evaluate association between pre-implantation EMT and the occurrence of PAS in women undergoing assisted reproductive technology cycles. Study DesignA total of 4637 women who had not undergone prior caesarean section, conceived by in vitro fertilization or intracytoplasmic sperm injection embryo transfer treatment and subsequently delivered at the Third Affiliated Hospital of Guangzhou Medical University between January 2008 to December 2020 were included in this study. To explore the relationship between EMT and PAS, we employed smooth curve fitting, threshold effect, and saturation effect analysis. Multivariate logistic regression analysis was performed to evaluate the independent association between EMT and PAS while adjusting for potential confounding factors. Propensity score matching (PSM) was performed to reduce the influence of bias and unmeasured confounders. Furthermore, we employed causal mediation effect analysis to investigate the mediating role of EMT in the relationship between gravidity and ovarian stimulation protocol and the occurrence of PAS. ResultsAmong the 4637 women included in this study, pregnancies with PAS (159, 3.4%) had significantly thinner EMT (non-PAS 10.08±2.04 vs PAS 8.88±2.21 mm，P<0.001) during the last ultrasound before embryo transfer. By smooth curve fitting, the saturated effect was found on EMT and PAS, with an inflection point at 10.9mm. Then the EMT was divided into four groups: ≤7mm, >7 to≤10.9mm, >10.9 to≤13mm, >13mm, and the absolute rates of PAS in each group was 11.91%, 3.73%, 1.35%, and 2.54%, respectively. When compared to women with an EMT ranging from between 10.9-13mm, the odds of PAS increased from adjusted odds ratio (aOR) of 2.27 (95% CI, 1.33-3.86) for EMT ranging from 7-10.9mm to aOR of 7.15 (95% CI, 3.73-13.71) for EMT <7mm after adjusting for potential confounding factors. Placenta previa remained as an independent risk factor for PAS (aOR, 11.80; 95% CI, 7.65-18.19). Moreover, EMT <7mm was still an independent risk factor for PAS (aOR, 3.91; 95% CI, 1.57-9.73) in the matched cohort after PSM. Causal mediation analysis revealed that approximately 63.9% of the total effect of gravidity and 18.6% of the total effect of ovarian stimulation protocol on PAS were mediated by the EMT. ConclusionsThe findings from our study indicate that thin EMT is an independent risk factor for PAS in women without prior caesarean section undergoing assisted reproductive technology treatment. The clinical significance of this risk factor is slightly lower than placenta previa. Furthermore, our results demonstrate that EMT plays a significant mediating role in the relationship between gravida or ovarian stimulation protocol and PAS.

Association Between Monocyte-to-High-Density Lipoprotein Ratio and Prediabetes: A Cross-Sectional Study in Chinese Population.

The monocyte-to-high-density lipoprotein cholesterol (MHR) ratio has been linked to metabolic disorders. However, there is limited research on the predisposition to MHR and prediabetes. Hence, we conducted a study to investigate the relationship between MHR and the prevalence of prediabetes. In total, 85,293 participants were included in our cross-sectional observational study. Multivariable regression analysis, subgroup analyses, and interaction testing were used to determine the relationship between MHR and prediabetes. To explore the non-linear association of MHR with prediabetes risk, generalized additive model (GAM) and smoothing splines were applied. The threshold effect analysis of MHR on the risk of prediabetes was further employed to identify the turning point. After controlling for covariates, the results indicated that a positive correlation persisted between MHR and prediabetes (odds ratio (OR) =1.64, 95% confidence interval (CI), 1.48-1.82), and subgroup analyses found a more robust correlation between MHR and prediabetes in individuals with lower age, SBP, DBP, TG, TC and higher values of BMI and LDL-C than in their counterparts. Additionally, the correlation between MHR and the risk of prediabetes was found to be non-linear, with a turning point of -0.4 (Log-Likelihood Ratio, P< 0.001). The impact of variables on the two sides of the turning point were 1.94 (1.72, 2.19) and 0.88 (0.69, 1.14). The positive correlation between MHR and the risk of prediabetes in Chinese participants was observed to be non-linear, and MHR ≤ -0.4 was strongly positively correlated with prediabetes risk.

Association of Lipoprotein-associated phospholipase A2 With Carotid Intima-Media Thickness in Acute Cerebral Infarction Patients.

Lipoprotein-associated phospholipase A2 (Lp-PLA2) is an inflammatory marker associated with atherosclerotic and cardiovascular diseases. This study aimed to explore the association of Lp-PLA2 with carotid intima-media thickness (cIMT) in patients with acute ischemic stroke (AIS) and explore a threshold level to predict the risk of vulnerable plaques. This retrospective observational study included patients with AIS in the Neurology Department of our Hospital between January 2018 and December 2019. The study included 293 patients aged 65.29 ± 12.11years, including 212 males, of whom 124 had carotid intima-media thickening (42.32%). Multivariable logistic regression showed that Lp-PLA2 level was an independent risk factor for cIMT (odds ratio [OR] = 1.004, 95% confidence interval [95% CI] 1.001-1.008, P = .008). Threshold effect analysis showed that the risk of vulnerable carotid plaque occurrence increased by 2% for every 1ng/mL increase in Lp-PLA2 level with serum Lp-PLA2 levels between 157 and 279ng/mL; this increase was statistically significant (OR = 1.02, 95% CI 1.01-1.03, P < .001). Serum Lp-PLA2 is an independent risk factor for increased cIMT in patients with AIS, and a threshold Lp-PLA2 level between 157 and 279ng/mL showed a higher risk of carotid plaque rupture.

Correlations between bone metabolism biomarkers and fluoride exposure in adults and children

Increased exposure to fluoride, which notably affects bone metabolism, is a global concern. However, the correlations and sensitivity of bone metabolism to fluoride remain controversial. In this cross-sectional study, 549 children (aged 7–12 years) and 504 adults (≥ 18 years old) were recruited in the high-fluoride areas of the Henan Province. Urinary fluoride (UF) level was determined using a fluoride electrode. Fasting venous blood serum was collected to measure bone metabolism biomarkers. The selected bone metabolism biomarkers for children included bone alkaline phosphatase (BALP), serum alkaline phosphatase (ALP), osteocalcin (OCN), calcitonin (CT), parathyroid hormone (PTH), phosphorus (P5+), and calcium (Ca2+). For adults, the biomarkers included ALP, CT, PTH, β-CrossLaps (β-CTX), P5+, and Ca2+. The correlations between UF and bone metabolism biomarkers were analyzed using binary logistic regression, a trend test, a generalized additive model, and threshold effect analysis. Regression analysis indicated a significant correlation between serum OCN, PTH, and UF levels in children aged 7–9 years. Serum OCN, PTH, and BALP contents were significantly correlated with UF in boys (P < 0.05). Furthermore, the interaction between age and UF affected serum P5+ and PTH (P < 0.05). The generalized additive model revealed nonlinear dose–response relationships between P5+, BALP, and UF contents in children (P < 0.05). Serum OCN level was linearly correlated with the UF concentration (P < 0.05). Similarly, a significant correlation was observed between β-CTX and UF levels in adults. In addition, significant correlations were observed between UF–age and serum Ca2+, β-CTX, and PTH contents. There was a non-linear correlation between serum Ca2+, P5+, and β- CTX and UF levels (P < 0.05). Overall, serum OCN, BALP, and P5+ levels can serve as sensitive bone metabolism biomarkers in children, while β-CTX, P5+, and Ca2+ can be considered fluoride-sensitive bone metabolism biomarkers in adults.

Association between remnant cholesterol and insulin resistance levels in patients with metabolic-associated fatty liver disease

The relationship between remnant cholesterol (RC) and homeostasis model assessment-insulin resistance (HOMA-IR) in the context of metabolic-associated fatty liver disease (MAFLD) remains an area of ambiguity. This investigation was designed to elucidate the potential association between RC and HOMA-IR in a cohort of American adults diagnosed with MAFLD. Data from 5533 participants were procured from the 2017–2018 US National Health and Nutrition Examination (NHANES) databases. A weighted linear regression model was employed to analyze the association between RC and HOMA-IR in the context of MAFLD. Preliminary analysis revealed that 44.67% of the participants were diagnosed with MAFLD, with a higher prevalence observed in individuals aged 50–64 years (31.84%, p < 0.0001) and in males compared to females (53.48% vs. 46.52%, p < 0.0001). A positive correlation was identified between RC and HOMA-IR in MAFLD patients. The threshold effect analysis model indicated a breakpoint at RC = 30 mg/dl, with a more pronounced positive correlation when RC < 30 mg/dl (β = 0.17, p < 0.001). Receiver operating characteristic analysis further demonstrated that among all lipid parameters, RC exhibited the largest area under the curve. The study findings suggest a positive correlation between RC and HOMA-IR in MAFLD patients, indicating that elevated RC may serve as an independent risk factor for MAFLD.

L-shaped association of triglyceride glucose index and sensorineural hearing loss: results from a cross-sectional study and Mendelian randomization analysis.

The association between the sensorineural hearing loss (SNHL) and triglyceride-glucose (TyG) index remains inadequately understood. This investigation seeks to elucidate the connection between the TyG index and SNHL. In this cross-sectional study, we utilized datasets sourced from the National Health and Nutrition Examination Survey (NHANES). A comprehensive analysis was conducted on 1,851 participants aged 20 to 69, utilizing complete audiometry data from the NHANES database spanning from 2007 to 2018. All enrolled participants had accessible hearing data, and the average thresholds were measured and calculated as both low-frequency pure-tone average and high-frequency pure-tone average. Sensorineural hearing loss (SNHL) was defined as an average pure tone of 20 dB or higher in at least one better ear. Our analysis involved the application of multivariate linear regression models to examine the linear relationship between the TyG index and SNHL. To delineate any non-linear associations, we utilized fitted smoothing curves and conducted threshold effect analysis. Furthermore, we conducted a two-sample Mendelian randomization (MR) study, leveraging genetic data from genome-wide association studies (GWAS) on circulating lipids, blood glucose, and SNHL. The primary analytical method for the MR study was the application of the inverse-variance-weighted (IVW) approach. In our multivariate linear regression analysis, a substantial positive correlation emerged between the TyG index and SNHL [2.10 (1.80-2.44), p < 0.0001]. Furthermore, using a two-segment linear regression model, we found an L-shaped relationship between TyG index, fasting blood glucose and SNHL with an inflection point of 9.07 and 94 mg/dL, respectively. Specifically, TyG index [3.60, (1.42-9.14)] and blood glucose [1.01, (1.00-1.01)] concentration higher than the threshold values was positively associated with SNHL risk. Genetically determined triglyceride levels demonstrated a causal impact on SNHL (OR = 1.092, p = 8.006 × 10-4). In addition, blood glucose was found to have a protective effect on SNHL (OR = 0.886, p = 1.012 × 10-2). An L-shaped association was identified among the TyG index, fasting blood glucose, and SNHL in the American population. TyG index of more than 9.07 and blood glucose of more than 94 mg/dL were significantly and positively associated with SNHL risk, respectively.

Non-linear relationship between baseline fasting blood glucose and mortality in peritoneal dialysis patients, a retrospective cohort study.

The relationship between baseline fasting blood glucose (bFBG) and mortality in peritoneal dialysis (PD) patients has been the subject of debate, with limited exploration of the non-linear relationship between bFBG and death in these patients. This retrospective study categorized patients into four groups based on their bFBG using quartiles. Baseline clinical data at the initiation of dialysis were compared. Survival curves were plotted, and subgroup analyses were stratified by relevant covariates. To address the non-linear relationship, curve fitting and a threshold effect analysis were performed. The study included 379 PD patients with a median follow-up of 41.8 (22.6, 60.1) months. The COX proportional hazards model showed an association between bFBG and the risk of death after adjusting for confounding factors [hazard ratio (HR): 1.22, 95% CI: 1.05-1.41, P = 0.009]. Stratified analyses indicated a stable correlation between bFBG and mortality. The Kaplan-Meier curve analysis revealed significant differences in survival rates among different groups based on bFBG levels (P < 0.01). The curve fitting analysis revealed a U-shaped relationship between bFBG and mortality, with an inflection point at approximately 5.1 mmol/L. Our study has demonstrated a non-linear relationship between bFBG and mortality in PD patients. Additionally, we have found that the optimal bFBG value associated with the lowest risk of mortality is approximately 5.1 mmol/L.

Composite Dietary Antioxidant Index is negatively associated with olfactory dysfunction among adults in the United States: A cross-sectional study

The Comprehensive Dietary Antioxidant Index (CDAI) plays a crucial role as an indicator of diets rich in antioxidants. Despite its importance, the clinical significance of CDAI concerning olfactory dysfunction (OD) remains unknown. Our study aims to investigate whether there is an association between CDAI and OD within the general adult population aged 20 years and older. We hypothesized a negative correlation between CDAI and OD in the general adult population. A cross-sectional study used data from the National Health and Nutrition Examination Survey (n = 1624; >20 y of age). A multivariate logistic regression model examined the connection between CDAI and OD. Smooth-fitted curves were used to investigate the nonlinear relationship between CDAI and OD. A threshold effect analysis was then used to pinpoint the inflection point. Subgroup analyses were conducted based on gender and age. Multivariate regression analysis revealed a negative correlation between CDAI and OD. After controlling for variables, the risk of OD in the highest quartile of CDAI was significantly lower than in the lowest quartile (Q1) (odds ratio = 0.64; 95% confidence interval, 0.44–0.92; P = .0148). Stratified analysis indicated a significant association between CDAI and OD in individuals younger than age 60 years and male. This research suggests that increasing the co-ingestion of antioxidants within a moderate range can reduce the incidence of OD.

The impact of informatization on agri-income of China's rural farmers: ways for digital farming

Informatization, a vital element in economic development, plays a pivotal role in shaping rural areas by promoting efficient resource allocation and fostering the prosperity of high-income rural farmers. This research delves into the intricate relationship between informatization and the enhancement of farmers' income, revealing a variety of perspectives on the matter. The research explores three distinct angles that highlight the complexities of the relationship between informatization and the growth of income in rural areas. Through rigorous analysis, the study aims to provide insights into the interplay between informatization and farmers' income growth. It identifies challenges and opportunities in the process of rural digitalization, such as the incomplete industrial chain of agricultural digitalization and the need for enhanced agricultural market information platforms. The study also underscores the importance of increasing farmers' digital literacy as a means to broaden income growth avenues. In doing so, the research strives to contribute to a more balanced and equitable rural society in China. This investigation employs various research methodologies, including panel analysis and threshold effect analysis, to explore the multifaceted relationships between informatization and farmers' income growth. The findings of this study provide valuable insights for policymakers and stakeholders involved in the ongoing development of rural areas and in ensuring the equitable distribution of wealth in China.

Factors influencing C-reactive protein status on admission in neonates after birth

ObjectiveTo explore the factors influencing C-reactive protein (CRP) status in neonates on admission after birth.Methods820 newborns born and hospitalized at Xiangya Hospital of Central South University from Jan. 2020 to Dec. 2020 were retrospectively analyzed. Maternal medical history and medication use during pregnancy, neonatal demographic information and status at birth were collected through the electronic medical record system. Statistical software was used to analyze the possible relationship between perinatal factors and CRP on admission after birth.ResultsA total of 820 neonates were analyzed, including 463 males and 357 females with a mean gestational age (GA) of 36.07 ± 3.30 weeks. (1) Multifactor Logistic regression analysis: larger GA (OR: 1.13, 95%CI: 1.00-1.28, P = 0.042), premature rupture of membranes (PROM) ≥ 18 h (OR: 2.39, 95%CI: 1.35–4.23, P = 0.003) and maternal autoimmune diseases (OR: 5.30, 95%CI: 2.15–13.07, P < 0.001) were independent risk factors for CRP ≥ 8 mg/L. Cesarean delivery (OR 0.40, 95%CI: 0.26–0.60, P < 0.001) was independent protective factor for CRP ≥ 8 mg/L. (2) Threshold effect analysis: A non-linear relationship was found between GA and CRP. When GA is less than 33.9 weeks, the risk of CRP ≥ 8 mg/L was reduced by 28% with one week increased (P < 0.001), and when GA is more than 33.9 weeks, the risk of CRP ≥ 8 mg/L was increased by 61% with one week increased (P < 0.001).ConclusionsGA, PROM, maternal autoimmune diseases and cesarean delivery were all independent influences neonatal CRP ≥ 8 mg/L on admission, and there was a nonlinear relationship between GA and neonatal CRP ≥ 8 mg/L on admission.