Positive Linear Association Research Articles

Characterization of potential salivary biomarkers in Behçet's disease.

Diagnosis of Behçet's disease (BD) has always been a challenging task due to the heterogeneity and complexity of the disease, while available literature on BD biomarkers is largely inconclusive. The aim of this study was to evaluate the expression of a panel of salivary biomarkers in a group of BD patients and test their association with BD. The study population comprised 23 BD patients (12 females and 11 males) and a control group of age and gender-matched healthy individuals. Enzyme-linked immunosorbent assays were used to test the expression of 5 salivary proteins including: interleukin 1β (IL-1β), epidermal growth factor (EGF), endothelin, vascular endothelial growth factor (VEGF) and transferrin (TrF). BD activity was evaluated using the International Society for Behçet's disease (ISBD) current activity form. Salivary endothelin, EGF and VEGF were significantly higher in the BD group compared to controls (16.3 Vs. 7.7pg/ml, 194.5 Vs. 163.4pg/ml and 262 Vs. 150.2pg/ml, p<0.05, respectively) whereas TrF was significantly lower in BD group compared to controls (497 Vs. 2206pg/ml, p<0.001). The correlation analysis showed a trend of a positive linear association between endothelin expression and both BD activity (r=0.41) and BD activity index score (r=0.4), without reaching statistical significance (p>0.05). In conclusion, salivary TrF, endothelin, VEGF and EGF may represent potential biomarkers for BD. These findings require further validation in larger samples and different activity states of BD.

Habitat dimensionality and feeding strategies but not temperature as determinants of body size-trophic structure relationship in a marine food web.

Disentangling the determinants of trophic structure is central to ecology. The capacity to capture subjugate and consume a prey (i.e. gape limitation) is a relevant limitation to acquire energy for most organisms, especially those in smaller size ranges. This generates a size hierarchy of trophic positions in which large organisms consume small ones. Body size is tightly correlated to gape limitation and explains a large fraction of variance in the body size-trophic position relationship. However, a considerable fraction of variance still remains to be explained. Consumer search space dimensionality (2D or 3D) and feeding strategies, temperature and the size structure of primary producers can alter the trophic structure, but tests based on information from natural food webs are scarce. We generated specific predictions about the body size trophic position relationship and evaluated them using information from a subtropical South Atlantic coastal marine ecosystem: benthic realm (2D, rocky shore and sandy beach) and the pelagic realm (3D). We characterized this marine coastal food web based on stable isotopes of carbon and nitrogen from 256 samples from primary producers (macroalgae and phytoplankton) to large predators (sand shark) in summer and winter. Consumer body size encompassed six orders of magnitude in weight from 10-2 to 6 × 104 g. Isotopic signal corresponded to an integration of carbon sources from basal consumers to top predators. The body size-trophic position relationship showed a linear positive association with different slopes for the benthic and pelagic environments. This implies a smaller predator prey size ratio for pelagic (3D) with respect to benthic consumers (2D) as theoretically expected. No seasonal differences were found in slopes and most of the overall variance in benthic environments was largely explained by feeding strategies of the different taxonomic groups. We provide an integrated evaluation on the role of body size, consumer search space and feeding strategy to understand the determinants of trophic position. Results demonstrate that integrating gape limitation hypothesis, the dimensionality of consumer search space and feeding strategies into a formal robust framework to understand trophic structure is feasible even in complex natural ecosystems.

Nonlinear correlation between serum vitamin D levels and the incidence of endometrial polyps in infertile women.

Are serum vitamin D levels associated with the incidence of endometrial polyps (EPs) in infertile patients? Serum 25(OH)D levels were nonlinearly correlated with the incidence of EPs in infertile women. EPs are a common condition that may affect the receptivity of the endometrium in women of reproductive age. Vitamin D regulates cell proliferation and differentiation, apoptosis, angiogenesis, anti-inflammation, and immunomodulation, in addition to its well-known functions in balancing calcium and phosphorus. Previous studies have shown that vitamin D concentrations are associated with reproductive outcomes, and that low vitamin D levels are associated with the incidence of colorectal polyps and nasal polyps. There is little evidence regarding the relationship between EPs and serum vitamin D levels. We conducted a cross-sectional study using data from Guangdong Women and Children Hospital from January 2019 to October 2023, enrolling 3107 patients. A total of 3107 infertile patients who underwent hysteroscopy were included in this study; 642 patients had endometrial polyps and 2465 had a normal uterine cavity. Hysteroscopy findings included risk of EPs, polyp size, percentage of multiple polyps, and incidence of chronic endometritis (CE). Serum vitamin D were assessed by measuring total 25(OH)D using chemiluminescence. According to international guideline recommendations for vitamin D deficiency, patients were divided into two groups: the <50 nmol/l group and the ≥50 nmol/l group. Univariable and multivariable logistic regression models, stratified analyses, and smooth curve fitting were used to examine the relationship between serum 25(OH)D levels and risk of EPs. Of all patients, 23.8% (740/3107) were vitamin D deficient (<50 nmol/l). The incidence of EPs was significantly higher in the 25(OH)D < 50 nmol/l group than in the ≥50 nmol/l group (24.9% vs 19.3%; P = 0.001). However, there were no differences in polyp size, proportion of multiple polyps, and presence of CE between the two groups. After controlling for confounders, 25(OH)D ≥ 50 nmol/l (compared with <50 nmol/l) was negatively associated with risk of EPs (adjusted OR, 0.733; 95% CI, 0.598-0.898). Other variables that had an impact on polyp incidence included BMI, type of infertility, CA125, and CD138-positive plasma cells. In addition, a linear regression model between age and serum 25(OH)D levels showed a positive linear association. Subgroup analyses were performed for different age groups, and the risk of EPs was significantly higher in the 25(OH)D < 50 nmol/l group than in the ≥50 nmol/l group, both in the younger subgroup (23.8% vs 19.1%) and in the older subgroup (28.0% vs 19.9%). The smooth curve fitting model showed a nonlinear correlation between 25(OH)D levels and risk of EPs (nonlinear P-value = 0.020), with an optimal threshold of 51.8 nmol/l for 25(OH)D levels. Moreover, subgroup smooth curve fitting models showed a nonlinear correlation between 25(OH)D levels and polyp risk in patients aged <35 years (nonlinear P-value = 0.010), whereas a linear correlation between 25(OH)D levels and polyp risk was found in patients aged ≥35 years (nonlinear P-value = 0.682). Caution should be exercised in interpreting our findings as this is a correlational study and causality cannot be inferred from our results. In addition, because of strict inclusion and exclusion criteria, our results may not be generalizable to unselected populations, including premenopausal women or women of other races. This study demonstrated for the first time that vitamin D deficiency is an independent risk factor for the incidence of EPs in infertile patients. Identifying modifiable risk factors (e.g. vitamin D deficiency) can help in the development of new strategies for treating polyps or to protect against polyp development. Further clinical intervention trials and laboratory studies are needed to evaluate the effect of vitamin D on the development of EPs and to elucidate the mechanisms. The study was funded by the National Natural Science Foundation of China (82101718) and Natural Science Foundation of Guangdong Province, China (2022A1515010776). No competing interest was involved in this study. N/A.

Crude Price Changes and Nigeria’s Foreign Reserves, 2008-2023

The study investigated the correlational association between crude price and foreign reserves using the Nigerian economy as the jurisdiction of interest. The study covered the period 2008 to 2023 representing a 25year period. Bivariate pairwise correlational matrix was used to find that a highly significant positive linear association exists between crude price and foreign reserves. Following the findings arising from this study, it is recommended that the country should take advantage of crude price movement in building its foreign reserves given that increase in crude price will likely lead to a rise in revenue from crude sale. A high foreign reserve can act as stabilization fund for exchange rate, debt management and other shocks from international financial flows. Building foreign reserves can be beneficial in managing such exposures to the advantage of the Nigerian economy.

Youth suicidality risk relative to ambient temperature and heatwaves across climate zones: A time series analysis of emergency department presentations in New South Wales, Australia.

Youth suicidality prevalence continues to rise alongside hot weather severity. Links between these two variables are underexplored. We examined associations between daily temperature and emergency department suicidality presentations by young people. We assessed these associations for five regions covering New South Wales as determined by 'climate zone' and analysed for heatwave effects as well as based on demographic subgroups. Daily emergency department presentations for suicidality by people aged 12-24 years across New South Wales, Australia, during warmer months (November to March) from 2012 to 2019 were examined in relation to daily mean temperature and heatwaves (⩾3 consecutive days ⩾ 95th percentile of long-term daily mean temperature) and by climate zone, using a generalised additive model with negative binomial distribution. Risks for age- and sex-based subgroups were also calculated. New South Wales youth suicidality presentation rates were significantly higher on hotter days. For every 1°C rise above average daily mean temperature, youth suicidality presentations to New South Wales emergency departments increased by 1.3%. Heatwaves did not increase presentation rates beyond single-day daily mean temperature effects. These findings were predominantly replicated across climate zones and demographic subgroups, though the association between suicidality and ambient temperature was weaker in coastal regions including Eastern Sydney. There is a positive linear association between ambient temperature and youth suicidality presentations to emergency departments. Risks are increased on single hot days, not only during heatwaves. Public health, broader societal approaches to heat and health system planning should consider impacts on youth suicidality of predicted increases in hot weather severity and frequency.

Association of neutrophil-to-lymphocyte ratio with all-cause and cardiovascular mortality in CVD patients with diabetes or pre-diabetes

The neutrophil-to-lymphocyte ratio (NLR), a simple marker of systemic inflammation, is crucial in the progression of cardiovascular diseases (CVD). Its predictive value for all-cause and cardiovascular mortality in CVD patients with diabetes or pre-diabetes remains unclear. We analyzed 3,780 CVD patients with diabetes or pre-diabetes from the National Health and Nutrition Examination Survey (2001–2018). Kaplan-Meier survival curves, weighted Cox proportional hazards models, and restricted cubic spline (RCS) analyses were used to assess the relationship between NLR and mortality risk. RCS revealed a U-shaped association between NLR and all-cause mortality, with an inflection point at 1.776. For NLR < 1.776, the risk of all-cause mortality decreased by 13% per unit increase in NLR (HR: 0.87, 95% CI: 0.76–0.98). For NLR ≥ 1.776, the risk increased by 15% per unit increase (HR: 1.15, 95% CI: 1.10–1.26). A positive linear association was found between NLR and cardiovascular mortality, with a 17% increase in risk per unit increase in NLR (HR: 1.17, 95% CI: 1.10–1.25). No significant interactions were observed in stratified analyses. Our study revealed the U-shaped relationship between NLR and all-cause mortality, and a positive linear relationship with cardiovascular mortality in CVD patients with diabetes or pre-diabetes.

Elevated Serum Syndecan-1 Levels Are Associated with Obesity-Related Complications in Children

Background: Syndecan-1 plays a crucial role in cell differentiation, growth, adhesion, wound healing, and inflammatory processes. It has been linked to obesity, particularly overweight and chronic low-grade inflammation. Objectives: This study aimed to compare serum syndecan-1 levels between obese children and a healthy control group and to investigate the relationship between serum syndecan-1 levels and renal and cardiovascular complications associated with obesity in children. Methods: We assessed 30 obese and 30 healthy children aged 8 - 16 years. Blood samples were collected from both groups to measure serum aspartate aminotransferase (AST), syndecan-1, fasting blood glucose (FBG), alanine aminotransferase (ALT), creatinine, and urea concentrations. In the obese group, high-density lipoprotein cholesterol (HDL-C), insulin, triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C) levels were also measured, along with homeostasis model assessment of insulin resistance (HOMA-IR). Results: The mean serum syndecan-1 levels in the obese and control groups were 15.65 ± 10.01 ng/mL and 6.99 ± 3.79 ng/mL, respectively, with a significantly higher level observed in the obese group (P &lt; 0.005). Significant differences were also found in BMI, BMI SDS, creatinine, AST, and ALT levels between the two groups (P &lt; 0.05), with all parameters being higher in the obese group. A significant positive linear association was identified between syndecan-1 levels and creatinine, TG, and BMI SDS (r = 0.711, r = 0.630, r = 0.682, P &lt; 0.01). Additionally, a strong negative correlation was found between syndecan-1 and HDL-C levels (r = -0.609, P &lt; 0.001). No significant linear relationship was detected between syndecan-1 levels and LDL-C, ALT, AST, glucose, urea, insulin levels, or HOMA-IR measurements (P &gt; 0.05). Linear regression analysis revealed that serum creatinine levels and BMI SDS were significantly linked to changes in syndecan-1 levels. Conclusions: Syndecan-1 is elevated in obese children due to inflammation and may serve as an early biomarker for endothelial damage. It can be useful in detecting obesity-related renal damage and cardiovascular risk in children.

The association of glyphosate exposure with kidney stones in American adults: A nationally representative cross-sectional study

ObjectiveGlyphosate has been ubiquitously present in our living environment due to its efficient herbicidal ability, but its association with the prevalence of kidney stones remains uncertain. This study aims to explore the impact of glyphosate exposure on kidney stones and to investigate the mediating effects of some serologic indicators. Furthermore, we attempt to identify the specific populations at greater risk of exposure. MethodsThis is a cross-sectional study of the U.S. adult population examining the association between glyphosate exposure and kidney stones based on data from the 2013–2018 National Health and Nutrition Examination Survey (NHANES). We implemented multi-model-adjusted logistic regression and smoothed curve fitting to explore the connection between them. Further subgroup analyses were conducted to confirm the magnitude of exposure risk in specific populations. Mediation effects analysis served to provide insight into the underlying mechanisms of the link. ResultsA total of 4302 participants' health data were ultimately analyzed, and the prevalence of kidney stones was 10.85 %. Participants with the highest urinary glyphosate(uGLY) content(Q3) had a higher prevalence of kidney stones compared with participants with the lowest uGLY content(Q1) (OR=1.70, 95 %CI: 1.10–2.63). Smoothed curve fitting revealed a linear positive association between ln-transformed uGLY and kidney stones (OR=1.21,95 %CI:1.08–1.37, LLR=0.291), and this exposure-outcome effect was at greater risk in men (OR=1.24,95 %CI: 1.05–1.46), non-Hispanic whites (OR=1.29, 95 %CI: 1.09–1.53), and hypertensive groups (OR=1.23,95 %CI: 1.05–1.44). Serum biochemical markers HDL, ALP, and serum glucose partially mediated the correlation between glyphosate and kidney stones (2.44–4.20 %). ConclusionGlyphosate exposure is significantly associated with the prevalence of kidney stones. In men, non-Hispanic whites, and hypertensive populations, the management of glyphosate exposure should be emphasized, and appropriate protective strategies may be beneficial in reducing the burden of kidney stones. More high-quality clinical inquiries and animal toxicology experiments are still required to verify the reliability of our findings and their underlying mechanisms.

The Neutrophil Percentage-to-Albumin Ratio as a Biomarker for All-Cause and Diabetes-Cause Mortality Among Diabetes Patients: Evidence From the NHANES1988-2018.

Neutrophil percentage-to-albumin ratio (NPAR) was significantly correlated with diabetes-related complications. There are little data about NPAR and mortality risk in individuals with diabetes. This study included 3858 diabetes patients from the National Health and Nutrition Examination Survey (NHANES) conducted from 1988 to 2018. Using a restricted cubic spline (RCS), the relationship between the NPAR and mortality risk was shown. Multivariable Cox regression models were used to evaluate the relationship between the NPAR and diabetes-cause and all-cause death. An examination of the time-dependent receiver operating characteristic curve (ROC) was used to assess how well the NPAR predicted survival outcomes. Among 3858 diabetes individuals, a total of 1198 (31.1%) died over a mean follow-up of 7.86 years; of these, 326 (8.4%) had diabetes-related deaths and 872 (22.6%) had deaths from other causes. The RCS regression analysis showed a positive linear association between the NPAR and all-cause and diabetes-cause mortality. High NPAR group had a significantly higher risk of all-cause and diabetes-cause mortality in univariate and multivariate analysis. Compared with low NPAR group, high NPAR group had a low survival rate of diabetes cases in all-cause death and diabetes-cause mortality with area under the curve of the 3-, 5-, and 10-year ROC curve being 0.725, 0.739, and 0.734 for all-cause mortality and 0.754, 0.752, and 0.745 for diabetes-cause mortality, respectively. In summary, we examined 3858 diabetes patients from NHANES database (1998-2018) and suggested NPAR as a biomarker for all-cause and diabetes-cause mortality prediction.

Association of depressive symptoms and incident chronic kidney disease in middle-aged and older adults

BackgroundEmerging evidence suggests that depressive symptoms may be a risk factor for the development of Chronic kidney disease (CKD). This study aimed to investigate the association between depressive symptoms and the incidence of CKD in middle-aged and older Chinese adults. MethodsWe utilized data from the 2011–2020 China Health and Retirement Longitudinal Study (CHARLS). Depressive symptoms were assessed using the 10-item Center for Epidemiologic Studies Depression Scale (CES-D). Incident CKD was defined based on the estimated glomerular filtration rate ≤ 60 mL/min/m2 or self-reported. Cox proportional hazard models were used to estimate the hazard ratio (HR) and 95 % confidence intervals (95 % CI) for incident CKD, adjusting for potential confounders. ResultsAmong the 10,996 participants without baseline CKD, 890 developed CKD during a median follow-up of 9.0 years. After adjusting for potential covariates, participants with depressive symptoms had a significantly higher risk of developing CKD compared to those without depressive symptoms (HR: 1.450; 95 % CI: 1.249–1.682). The association remained statistically significant when the CES-D was scored according to the severity of depressive symptoms, i.e., quintiles. A linear positive association between total CES-D score and risk of incident CKD was also found using restricted cubic spline regression (Pfor non-linearity = 0.114). ConclusionsDepressive symptoms are significantly associated with an increased risk of incident CKD in middle-aged and older Chinese adults. These findings underscore the importance of mental health screening and interventions in preventing CKD in this population.

Modelling personal temperature exposure using household and outdoor temperature and questionnaire data: Implications for epidemiological studies

Non-optimal temperature is a leading risk factor for global disease burden. Most epidemiological studies assessed only outdoor temperature, with important uncertainties on personal exposure misclassification. The CKB-Air study measured personal, household (kitchen and living room), and outdoor temperatures in the summer (MAY-SEP 2017) and winter (NOV 2017-JAN 2018) in 477 participants in China. After data cleaning, ∼88,000 person-hours of data were recorded across each microenvironment. Using multivariable linear regression (MLR) and random forest (RF) models, we identified key predictors and constructed personal temperature exposure prediction models. We used generalised additive mixed effect models to examine the relationships of personal and outdoor temperatures with heart rate. The 24-hour mean (SD) personal and outdoor temperatures were 29.2 (3.8) °C and 27.6 (6.4) °C in summer, and 12.0 (4.0) °C and 7.5 (4.2) °C in winter, respectively. The temperatures across microenvironments were strongly correlated (Spearman’s ρ: 0.86–0.92) in summer. In winter, personal temperature was strongly related to household temperatures (ρ: 0.74–0.79) but poorly related to outdoor temperature (ρ: 0.30). RF algorithm identified household and outdoor temperatures and study date as top predictors of personal temperature exposure for both seasons, and heating-related factors were important in winter. The final MLR and RF models incorporating questionnaire and device data performed satisfactorily in predicting personal exposure in both seasons (R2summer: 0.92; R2winter: 0.68–0.70). We found consistent U-shaped associations between measured and predicted personal temperature exposures and heart rate (lowest at ∼ 14.5 °C), but a weak positive linear association with outdoor temperature. Personal and outdoor temperatures differ substantially winter, but prediction models incorporating household and outdoor temperatures and questionnaire data performed satisfactorily. Exposure misclassification from using outdoor temperature may produce inappropriate epidemiological findings.

The correlation of the modulation complexity score (MCS) with the number of segments and local gamma passing rate for the Intensity Modulated Radiation Therapy (IMRT) treatment planning delivery.

To compare the modulation complexity scores across treatment sites, and to examine their connection with monitor unit, segment number and global and local gamma passing percentage. The cross-sectional study was conducted at the Baghdad Centre for Radiation Therapy and Nuclear Medicine, Baghdad Medical City, Baghdad, Iraq, from May 2021 to February 2022. Included were 34 patients, with the age range between 20 - 50 years, subjected to intensity-modulated radiation therapy for head and neck tumours in group A or pelvic tumours in group B. Treatment planning was done using Monaco 5.1, and radiotherapy was done using Synergy linear accelerator. Modulation complexity scores were calculated using MATLAB 2019a. Data was analysed using SPSS 24. Of the 34 patients, 22(64.7%) were in group A; 12(54.5%) males and 10(45.5%) females. There were 12(35.3%) patients in group B; 8(66.7%) females and 4(33.3%) males. The number of segments was greater in group B than group A. A modest positive linear association was seen in group A, demonstrating that an increase in segment numbers resulted in a rise in modulation complexity score (R2=0.0244). Group B tumours had inverse negative linear correlation (R2=0.0189). As the complexity of plans increased in group A, local gamma passing percentage decreased (R2=0.0452). Group B showed a slight negative connection with modulation complexity score (R2=0.0622). The modulation complexity score may be used to provide a simple prediction for pre-treatment verification, and it may also serve as a simple quality assurance tool for intensity-modulated radiation therapy plans.

Influence of dietary cholesterol on metabolic syndrome risk in middle-aged Korean adults: using the Korean Genome and Epidemiology Study (KoGES)

BackgroundThe association between dietary cholesterol and metabolic diseases remains controversial. However, the majority of studies focus on egg intake, and there is a limitation in the availability of prospective cohort studies. Our study examined the association between dietary cholesterol and the incidence risk of metabolic syndrome (MetS) in middle aged adults using large prospective cohort study in Republic of Korea.MethodsThe Health Examinees cohort from the Korean Genome and Epidemiology Study was used from baseline to follow-up. Dietary cholesterol intake was assessed by the validated semi-quantitative food frequency questionnaire. Participants were classified as quintile groups according to adjusted dietary cholesterol for total energy intake. MetS was defined as more than 3 of the 5 components of MetS. Hazard ratio (HR) and 95% confidence intervals (CI) for MetS were evaluated by multivariable cox regression analyses.ResultsOf the total 40,578 participants, metabolic syndrome developed in 4,172 (10.28%) individuals during an average follow-up period of approximately 4.76 years. Dietary cholesterol did not exhibit a significant association with the risk of MetS after adjusting for potential confounding factors, but a trend was observed indicating an increased risk with higher intake (p for trend = 0.044). Among the components of MetS, the incidence risk of high waist circumference (HR: 1.164, 95% CI: 1.049–1.290), high blood pressure (HR: 1.188, 95% CI: 1.075–1.313), high serum triglyceride (HR: 1.132, 95% CI: 1.044–1.227) and high fasting blood glucose (HR: 1.217, 95% CI: 1.132–1.308) in the group that consumed the highest dietary cholesterol intake was increased compared with the group that consumed the lowest dietary cholesterol intake. Dose-response relationship suggested a positive linear association between dietary cholesterol intake and the risk of high waist circumference (p-linearity = 0.004), blood pressure (p-linearity = 0.012), and triglycerides (p-linearity = 0.005).ConclusionThis study suggests a positive association between dietary cholesterol intake and the risk of MetS and its components (abdominal obesity, hypertension, hypertriglyceridemia, and hyperglycemia) in middle-aged Korean adults.

Exposure to Multiple Metal(loid)s and Hypertension in Chinese Older Adults.

Evidence about effects of metal(loid)s on hypertension among adults is insufficient. The aim of our study was to evaluate the individual and joint associations between seven selected metal(loid)s and hypertension, including lead (Pb), manganese (Mn), nickel (Ni), arsenic (As), cadmium (Cd), chromium (Cr), and vanadium (V)) in Chinese older adults. This study included 1009 older adults, and the blood concentrations of seven metal(loid)s were evaluated by inductively coupled plasma mass spectrometry (ICP-MS). The following conditions were considered as hypertension: (1) either systolic blood pressure ≥ 140mm Hg or diastolic blood pressure ≥ 90mm Hg, (2) a self-reported history of hypertension, or (3) currently taking antihypertensive medications. Logistic regression was utilized to investigate the association between individual metal(loid) and hypertension, while Bayesian kernel machine regression (BKMR) was employed to investigate the association of the metal(loid) mixture with hypertension. Adjusted single-metal(loid) model showed a significant positive association between Pb and hypertension (OR = 1.24, 95%CI = 1.03-1.50). This significant association still existed in multi-metal(loid) model (OR = 1.22, 95%CI = 1.01-1.47). BKMR further indicated a positive linear association of Pb with hypertension. The metal(loid) mixture was positively associated with hypertension in older adults, although not significant. Within the mixture, Pb had the highest posterior inclusion probabilities value (PIP = 0.9192). There were multiplicative interactions of Pb and Mn on hypertension. In addition, Pb and Mn had additive effects on the association of other blood metal(loid)s with hypertension. The associations of multiple metal(loid)s with hypertension are dependent on diabetes, areas, age, and BMI. The metal(loid) mixture exposure may contribute to hypertension in Chinese older adults, mainly driven by Pb and interactions of Pb and Mn. Reducing exposure to these metal(loid)s may prevent hypertension among older adults, which is especially true for those living with diabetes.

Consumption of milk and other dairy products and incidence of Parkinson's disease: a prospective cohort study in French women.

Previous studies showed positive associations between milk intake and Parkinson's disease (PD) in men but not in women, but few studies were available in women. Due to the long prodromal PD phase, reverse causation represents a major threat to investigations of diet in PD; cohort studies with a long follow-up are needed. We investigated associations between intake of milk and other dairy products with PD incidence in women from the E3N cohort study (1993-2018). PD diagnoses were validated using medical records and drug claim databases. Diet was assessed via a dietary questionnaire. Hazard ratios (HR) were estimated using multivariable Cox regression models. Exposures were lagged by 5y in main analyses and longer lags in sensitivity analyses. We examined the impact of adjustment for premotor symptoms (constipation/depression). During a mean follow-up of 18.8y, 845 of 71,542 women developed PD. Main analyses showed a J-shaped association between total milk intake and PD (P-non linearity = 0.045), with a significant linear positive association among drinkers (HR/1-SD = 1.09, 95% CI = 1.01-1.18, P = 0.024), that was explained in secondary analyses by a different pattern of association for plain milk (alone or with cereals) and milk added to drinks (tea/coffee/chicory). PD incidence increased significantly with plain milk consumption (HR/1-SD = 1.08 [1.02-1.14], P = 0.014). A U-shaped relation was observed for milk added to drinks (P-non linearity = 0.038), with lower PD incidence in women with moderate consumption (HR = 0.77 [0.61-0.97], P = 0.030) and no difference between non-drinkers and those with the highest consumption (HR = 0.98 [0.79-1.21], P = 0.848). Findings were similar in analyses using longer lags and adjusted for constipation/depression. Consumption of other dairy products was not associated with PD. A J-shaped association between total milk intake and PD was explained by a different pattern of association for plain milk intake and milk added to drinks. Reverse causation is unlikely to explain a positive association of plain milk with PD incidence in women. The U-shaped relation for milk added to drinks could be explained by an interaction between milk and coffee/tea/chicory. Further studies are warranted to elucidate the underlying mechanisms.

Association of diastolic and systolic blood pressure with depression: a cross-sectional study from NHANES 2005-2018.

Many studies worldwide have reported the association between mental health and blood pressure, but the results are mixed, and even contradictory. We aim to investigate the relationship between systolic and diastolic blood pressure and depression in the entire US population. This study analyzed cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. All adults completed 3-4 blood pressure measurements after sitting quietly for 5 minutes. Depression was diagnosed based on the Patient Health Questionnaire (PHQ-9), with a score ≥10 defined as depression. Weighted logistic regression and restricted cubic splines (RCS) were used to assess the relationship between blood pressure and depression. Two-piecewise linear regression was used to determine the inflection point. Additionally, subgroup analyses and interaction tests were conducted to identify potential subgroups. Finally, two sensitivity analyses were conducted. A total of 26,581 American adults were included, with a mean age of 47.2 years, of whom 13,354 (49.54%) were male; 2,261 individuals were defined as depressed, with a weighted prevalence of 7.41%. All participants' mean systolic blood pressure (SBP) was 121.7 mmHg, and the mean diastolic blood pressure (DBP) was 70.9 mmHg. RCS showed a nonlinear association between SBP and depression, while DBP showed a positive linear association with depression. Two-piecewise linear regression showed that the inflection point of the association between SBP and depression was 129.7 mmHg. Weighted logistic regression showed that after fully adjusting for depression-related risk factors, there was a significant positive correlation between per 10 mmHg increase in DBP and depression (OR: 1.06, 95% CI: 1.00-1.12, P=0.04); however, only on the left side of the inflection point, SBP tended to decrease the odds of depression (P =0.09). Furthermore, interaction analysis showed that the association between DBP and depression was significantly stronger in cancer patients (P for interaction=0.02); on the left side of the inflection point (<129.7 mmHg), current smokers also significantly interacted with SBP (P for interaction=0.018). Finally, two sensitivity analyses also supported our findings. In the adult population of the United States, there is a positive linear association between DBP and depression, while the association between SBP and depression exhibits a significant threshold effect, maintaining SBP at 129.7 mmHg is associated with the lowest prevalence of depression.

Association between serum neurofilament light chains and depression: A cross-sectional study based on NHANES 2013–2014 database

BackgroundSerum neurofilament light chain (sNfl), identified as a promising biomarker, is a protein released into the bloodstream post-axonal damage. Studies on its correlation with depression, however, remains scarce. The purpose of this study was to investigate the potential relationship between sNfL levels and risk of depression among a representative segment of the U. S. populace. MethodsThis study included 1,909 participants from the 2013-2014 National Health and Nutrition Examination Survey. The 9-item Patient Health Questionnaire (PHQ-9 scale) assessed depression symptoms, while sNfl concentrations were measured using the Attelica fully automated immunoassay system. The logistic regression, restricted cubic splines (RCS), and subgroup analysis were performed to assess the relationship between sNfL, lnsNfL (log-transformed values of sNfl), and depression. ResultsAfter adjusting for sociodemographic variables, lifestyle, and chronic conditions, sNfl and lnsNfL levels positively correlated with depression. A unit increase in sNfL and lnsNfL levels was linked to a 0.7 % and 33.8 % rise in depression risk, respectively [OR (95 % CI): 1.007 (1.000, 1.014), p = 0.041 for sNfl; 1.338 (1.015, 1.764), p = 0.039 for lnsNfl]. Additionally, a positive linear association was observed between lnsNfl levels and the risk of depression (p for overall = 0.039, p for nonlinear = 0.189 in RCS). No significant differences were observed across subgroups between lnsNfl and depression, with no significant impact on this relationship from subgroups (All p for interaction >0.05). ConclusionThe findings of our study suggest a significant positive correlation between sNfl and depression, warranting further investigation into the molecular dynamics linking sNfL to depression and subgroup variability.

Association of baseline sleep duration and sleep quality with seizure recurrence in newly treated patients with epilepsy.

Although sleep duration and sleep quality are considered to be significant factors associated with epilepsy and seizure risk, findings are inconsistent, and their joint association remains uncertain. This study aimed to determine independent and joint associations of these two modifiable sleep features with seizure recurrence risk in newly treated patients with epilepsy (PWE). This is a prospective cohort study of newly treated PWE at a comprehensive epilepsy center in northeast China between June 2020 and December 2023. Self-reported sleep duration and sleep quality were collected at baseline. All patients were followed for 12 months for recurrent seizures. Cox proportional hazard regression models were used to estimate the hazard ratios (HRs) of seizure recurrence. Models fitted with restricted cubic spline were conducted to test for linear and nonlinear shapes of each association. A total of 209 patients were included, and 103 experienced seizure recurrence during follow-up. Baseline short sleep was significantly associated with greater risk of seizure recurrence (adjusted HR = 2.282, 95% confidence interval [CI] = 1.436-3.628, p < .001). Sleep duration (h/day) and recurrent seizure risk showed a significant nonlinear U-shaped association, with a nadir at 8 h/day. Baseline poor sleep quality was significantly associated with greater risk of seizure recurrence (adjusted HR = 1.985, 95% CI = 1.321-2.984, p < .001). Pittsburgh Sleep Quality Index score and seizure recurrence risk exhibited a positive linear association. Participants with a combination of poor quality-short sleep showed the highest risk of seizure recurrence (adjusted HR = 3.13, 95% CI = 1.779-5.507, p < .001) compared to the referent good quality-intermediate sleep group. Baseline sleep duration and sleep quality were independently and jointly associated with risk of seizure recurrence in newly treated PWE. Our results point to an important potential role of baseline sleep duration and sleep quality in shaping seizure risk.

Assessing the Utility of the Metabolic Score for Insulin Resistance (METS-IR) in Evaluating Metabolic Risk Among Individuals Undergoing Master Health Checkups in a Tertiary Care Hospital in South India: A Retrospective Cohort Study.

Background The metabolic score for insulin resistance (METS-IR) is a neoteric score for assessing insulin resistance that has been used as a non-insulin-based, objectively measured method. It is an easily accessible tool that can be used on a large scale to detect insulin resistance in a community. Methods We conducted a retrospective cohort study to explore the utility of this score in identifying metabolic risk in those individuals attending a master health checkup in a tertiary care setting. Data were collected from 254 individuals between October and December 2023. Results According to the univariate regression analysis, METS-IR had a strong correlation in predicting cardiovascular health risks, as evidenced by its positive linear association with an increase in age (β=0.186, p=0.003), weight (β=0.534, p<0.001), waist circumference (β=0.405, p<0.001), and body mass index (BMI; β=0.635, p<0.001). This explained the value of this score in depicting adiposity and insulin resistance. Lab parameters that showed a significant association were fasting blood sugar (β=0.176, p=0.005) and fasting triglycerides (β=0.175, p=0.005). According to the multivariate regression analysis, METS-IR had a significant positive association with fasting blood sugar (B=0.489, p<0.001) and fasting triglycerides (B=0.022, p=0.003), implicating its importance in cardiovascular health. High-density lipoprotein cholesterol (HDL-c; B=-0.168, p=0.005) confirmed its protective role with its negative association in higher quartile groups. An increase in serum albumin levels (B=-0.168, p=0.005) and raised gamma-glutamyl transpeptidase (GGT) (B=0.059, p=0.022) portrays its due diligence in liver health. METS-IR had a weak association with the estimated glomerular filtration rate (eGFR) with Pearson's correlation coefficient of 0.020 (p=0.756) and Spearman's rho of 0.021 (p=0.739). However, raised serum creatinine had a significant association in higher quartile groups, with a p-value of 0.018. Conclusions METS-IR is useful as a screening tool for predicting cardiovascular disease. However, the complex interplay of other confounding factors in identifying renal dysfunction has yet to be explored when considering this score in our study population.

Milk component ratios and their associations with energy balance indicators and serum calcium concentration in early-lactation spring-calving pasture-based dairy cows

Indirect assessment of metabolic status using milk samples provides a non-invasive and objective tool for cow-level health monitoring. Milk fat-to-protein ratio (FPR) has been commonly evaluated as an indirect measure for negative energy balance (EB) in confined dairy cows. However, milk component ratios have not been explored for their association with pasture-based cows' metabolic status. The objectives of this observational study were to 1) describe milk component ratios from 0 to 45 d postpartum, 2) evaluate the associations between milk component ratios [FPR, fat-to-lactose (FLR), protein-to-lactose (PLR)] and indicators of EB (serum β-hydroxybutyrate (BHB) concentration at 5-45 d postpartum and body condition score (BCS) change during the transition period), and 3) evaluate the associations between milk component ratios and serum Ca concentration 0-4 d postpartum in spring-calving dairy cows from pasture-based commercial farms. Milk component ratios were determined on samples collected before AM or PM milkings from 548 cows at 0-45 d postpartum (n = 970). Serum BHB and Ca determinations were performed in blood samples collected at the time of milk sample collection at 5-45 d postpartum (n = 918) and 0-4 d postpartum (n = 50), respectively; and BCS change was calculated using BCS assigned between 29 d prepartum and 45 d postpartum (n = 851). Cows' calving date, parity (1st, 2nd-3rd or ≥ 4th) and breed (Holstein-Friesian or dairy crossbred) information was obtained from the farm records. Data was analyzed by multiple linear regression. Average milk FPR, FLR and PLR were 0.70, 0.53 and 0.72, respectively. Milk FPR linearly increased while milk FLR linearly decreased postpartum both at a rate of 0.004 units per day; milk PLR decreased 0.05 units per day for the first 30 d postpartum and moderately increased afterward. Milk FPR and FLR were 0.71 and 0.52 units lower before AM than PM milking, respectively; while milk PLR was similar before AM and PM milking. Milk FPR and FLR were 0.07 to 0.10 units higher for 2nd-3rd compared with 1st and ≥ 4th parity cows. Milk PLR was 0.03 units greater for ≥ 4th compared with 2nd-3rd and 1st parity cows. Further, crossbred cows had 0.07, 0.08 and 0.03 higher milk FPR, FLR and PLR than Holstein-Friesian cows, respectively. Moderate to high P-values along with moderate to small estimated slopes and wide 95% confidence intervals were observed for the associations between milk component ratios and indicators of EB. A positive linear association was observed between milk FPR and serum Ca concentration within 4 d postpartum; milk FPR increased 0.31 units per each mmol/L increase in serum Ca concentration. Cows with low serum Ca concentration within 4 d postpartum had 0.27 units lower milk FPR compared with cows at or above the threshold (2.12 mmol/L), and tended to have 0.15 units lower milk FPR compared with cows at or above the threshold (2.00 mmol/L). In conclusion, further research is needed to reach conclusions on the association between milk component ratios determined before milking and EB indicators. The potential of milk FPR for monitoring blood Ca status warrants further investigation in early-lactation pasture-based dairy cows.