Association of hemoglobin, albumin, lymphocyte, and platelet score with risk of all-cause and cause-specific mortality among cancer survivors: NHANES 1999-2018.

Background: The HALP score, comprising hemoglobin, albumin, lymphocyte, and platelet levels, serves as an indicator of both nutritional and inflammatory status. However, its correlation with all-cause and cause-specific mortality among cancer survivors remains unclear. Therefore, this study aims to investigate the relationship between HALP scores and mortality outcomes in this population. Method: We extracted cohort data spanning ten cycles (1999-2018) from the U.S. National Health and Nutrition Examination Survey (NHANES). Mortality rates, determined using the National Death Index (NDI) as of December 31, 2019, were assessed. Weighted multivariate logistic regression analyzed the association between HALP scores and cancer prevalence. Kaplan-Meier analyses and weighted multivariate-adjusted Cox analyses investigated the link between HALP scores and all-cause and cause-specific mortality in cancer survivors. Restricted cubic spline (RCS) analysis was employed to assess nonlinear relationships. Furthermore, multi-parametric subgroup analyses were conducted to ensure the robustness of the results. Results: Our study included 41,231 participants, of whom 3,786 were cancer survivors (prevalence: 9.5%). Over a median follow-up of 91 months (range: 51-136), we observed 1,339 deaths, including 397 from cancer, 368 from cardio-cerebrovascular disease, and 105 from respiratory disease. Elevated HALP scores showed a consistent association with reduced cancer incidence (P for trend <0.001). In multivariable-adjusted Cox regression analyses, HALP scores were significantly inversely associated with all-cause mortality, cancer mortality, cardio-cerebrovascular disease mortality, and respiratory disease mortality in cancer survivors (P for trend < 0.05). Nonlinear relationships between HALP scores and all-cause and cause-specific mortality in cancer survivors were evident through RCS regression modeling (P for nonlinearity < 0.01). Kaplan-Meier analyses demonstrated that higher HALP scores were indicative of a poorer prognosis. Conclusion: Our findings indicate a notable inverse correlation between HALP scores and both all-cause and cause-specific mortality among cancer survivors.

Association between systemic immune-inflammation index and cataract among outpatient US adults.

Background: While several studies have noted a higher SII correlates with multiple diseases, research on the association between SII and cataract remains limited. Our cross-sectional study seeks to examine the association between SII and cataract among outpatient US adults. Methods: This compensatory cross-sectional study utilized NHANES data from 1999 to 2008 cycles, conducting sample-weighted multivariate logistic regression and stratified analysis of subgroups. Results: Among 11,205 adults included in this study (5,571 [46.2%] male; 5,634 [53.8%] female), 2,131 (15.2%) had cataract and 9,074 (84.8%) did not have cataract. A fully adjusted model showed that SII higher than 500 × 109/L was positively correlated with an increased risk of cataracts among women (OR, 1.27; 95% CI, 1.02-1.59) (p = 0.036). However, no difference was found in the men subgroup, and there was no significant interaction between SII and sex. Conclusion: Our results indicated that a SII higher than 500 × 109/L was positively correlated with an increased risk of cataracts in women. This study is the first to specifically investigate the impact of a high SII on cataract risk in outpatient adults in the United States. By effectively addressing inflammation, it is possible to mitigate cataract progression and significantly enhance patient outcomes.

Obesity aggravates the role of C-reactive protein on knee pain: A cross-sectional analysis with NHANES data.

OBJECTIVE: To examine the relationship between C-reactive protein (CRP) and knee pain, and further explore whether this association is mediated by obesity. METHODS: The population was derived from 1999 to 2004 National Health and Nutrition Examination Survey. Logistic regression was used to analyze the relationship between CRP and knee pain in three different models, and the linear trend was analyzed. A restricted cubic spline model to assess the nonlinear dose-response relationship between CRP and knee pain. Mediation analyses were used to assess the potential mediating role of obesity. Subgroup analyses and sensitivity analyses were performed to ensure robustness. RESULTS: Compared with adults with lower CRP (first quartile), those with higher CRP had higher risks of knee pain (odds ratio 1.39, 95% confidence interval 1.12-1.72 in third quartile; 1.56, 1.25-1.95 in fourth quartile) after adjusting for covariates (except body mass index [BMI]), and the proportion mediated by BMI was 76.10% (p < .001). BMI and CRP were linear dose-response correlated with knee pain. The odds ratio for those with obesity compared with normal to knee pain was 2.27 (1.42-3.65) in the first quartile of CRP, 1.99 (1.38-2.86) in the second, 2.15 (1.38-3.33) in the third, and 2.92 (1.72-4.97) in the fourth. CONCLUSION: Obesity mediated the systemic inflammation results in knee pain in US adults. Moreover, higher BMI was associated with higher knee pain risk in different degree CRP subgroups, supporting an important role of weight loss in reducing knee pain caused by systemic inflammation.

Association of the weight-adjusted waist index with hypertension in the context of predictive, preventive, and personalized medicine.

Objective: Hypertension (HTN) is a prevalent global health concern. From the standpoint of preventive and personalized medicine (PPPM/3PM), early detection of HTN offers a crucial opportunity for targeted prevention and personalized treatment. This study aimed to evaluate the association between the weight-adjusted waist index (WWI) and HTN risk. Methods: A case-control study using data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018 was conducted. Logistic regression models assessed the association between WWI and HTN. Subgroup analyses explored differences in age, sex, ethnicity, and diabetes status. Restricted cubic spline (RCS) analyses examined potential nonlinear relationships. Results: A total of 32,116 participants, with an average age of 49.28 ± 17.56 years, were included in the study. A significant positive association between WWI and the risk of HTN was identified (odds ratio [OR], 2.49; 95% CI, 2.39-2.59; P < 0.001). When WWI was categorized into quartiles (Q1-Q4), the highest quartile (Q4) exhibited a stronger association compared to Q1 (OR, 2.94; 95% CI, 2.65-3.27; P < 0.001). Subgroup analyses indicated that WWI was a risk factor for HTN across different populations, although variations in the magnitude of effect were observed. Furthermore, the findings from the RCS elucidated a nonlinear positive correlation between WWI and HTN. Conclusion: WWI is independently associated with HTN risk, highlighting its potential as a risk assessment tool in clinical practice. Incorporating WWI into early detection strategies enhances targeted prevention and personalized management of HTN. Supplementary Information: The online version contains supplementary material available at 10.1007/s13167-024-00375-3.

Association between Healthy Eating Index-2015 and prostate enlargement: A cross-sectional study of the National and Nutrition Examination Survey 2001-2008.

Background: Benign prostate hyperplasia (BPH) occurs in elder men globally with high prevalence. Human diet and lifestyle aroused great attention in the prevalence of BPH. Prostate enlargement (PE) is a major symptom of BPH. Objectives: To elaborate the effect of total diet quality for adults from the United States, we investigated the association between Health Eating Index (HEI)-2015 and the risk of PE in adults from the National Health and Nutrition Examination Survey (NHANES). Methods: This cross-sectional study was conducted based on NHANES 2001-2008. Participants who reported a PE history were included. We conducted a logistic regression analysis to investigate the association between HEI-2015 and PE. Results: A total of 4,866 male participants aged 40 and above were enrolled. Compared with Q1 of HEI-2015, no significant differences were found in adjusted models. Higher vegetables intake (Odds ratio [OR] = 1.073; 95% confidence interval [95%CI] 1.015 to 1.134, P = 0.02) and higher total dairy intake (OR = 1.034; 95%CI 1.009 to 1.061, P = 0.01) were significantly related with higher risk of PE. Conclusions: There was no significant difference between HEI-2015 and PE after full adjustment. Total vegetables and dairy product might be associated with higher risk of PE and needed further validation.

Multivariate Scalar on Multidimensional Distribution Regression With Application to Modeling the Association Between Physical Activity and Cognitive Functions.

We develop a new method for multivariate scalar on multidimensional distribution regression. Traditional approaches typically analyze isolated univariate scalar outcomes or consider unidimensional distributional representations as predictors. However, these approaches are suboptimal because (i) they fail to utilize the dependence between the distributional predictors and (ii) neglect the correlation structure of the response. To overcome these limitations, we propose a multivariate distributional analysis framework that harnesses the power of multivariate density functions and multitask learning. We develop a computationally efficient semiparametric estimation method for modeling the effect of the latent joint density on the multivariate response of interest. Additionally, we introduce a new conformal prediction algorithm for quantifying the uncertainty of our multivariate predictions based on subject characteristics and individualized distributional predictors, providing valuable insights into the conditional distribution of the response. We validate the effectiveness of our proposed method through comprehensive numerical simulations, clearly demonstrating its superior performance compared to traditional methods. The application of the proposed method is demonstrated on triaxial accelerometer data from the National Health and Nutrition Examination Survey 2011-2014 for modeling the association between cognitive scores across various domains and distributional representation of physical activity among the older adult population. Our results highlight the advantages of the proposed approach, emphasizing the significance of incorporating multidimensional distributional information in the triaxial accelerometer data.

Association between dietary intake of carotenoids and metabolic dysfunction-associated fatty liver disease in US adults: National Health and Nutrition Examination Survey 2017-March 2020.

OBJECTIVE: To assess the relationship between dietary intake of α-carotene, ß-carotene, ß-cryptoxanthin, lycopene and lutein+zeaxanthin (LZ) and occurrence of metabolic dysfunction-associated fatty liver disease (MAFLD). DESIGN: Cross-sectional study design. The MAFLD diagnosis was based on hepatic steatosis and metabolic dysregulation. Carotenoid intake was adjusted for using an energy-adjusted model. Logistic regression and restricted cubic spline (RCS) analyses were used to assess the relationships, with sensitivity analysis to validate the findings. Weighted quantile sum regression (WQS) was used to explore the combined effect of these carotenoids on MAFLD. Subgroup analyses were conducted to identify population-specific associations. SETTING: National Health and Nutrition Examination Survey (NHANES) 2017-March 2020. PARTICIPANTS: This study included 5098 individuals aged 18 years and older. RESULTS: After adjusting for potential confounders, a weak inverse association was observed between α-carotene and ß-carotene intakes and MAFLD occurrence (all P value <0·05). The highest quartile of ß-carotene intake showed a significantly lower occurrence of MAFLD compared with the lowest quartile (OR = 0·65; 95 % CI: 0·44, 0·97). RCS analysis showed that a significantly lower occurrence of MAFLD was associated with a higher intake of the four carotenoids, excluding lycopene. Furthermore, the WQS analysis revealed a negative relationship between combined carotenoid intake and MAFLD occurrence (OR = 0·95, 95 % CI: 0·90, 1·00, P = 0·037). Subgroup analyses showed dietary carotenoid intake was associated with reduced MAFLD occurrence in populations aged 50-69 years, females, physically active individuals and non-drinkers. CONCLUSION: Higher dietary intake of carotenoids is associated with lower MAFLD occurrence. However, this relationship varies among individuals of different ages, sexes and lifestyles.

Associations of daily eating frequency and nighttime fasting duration with biological aging in National Health and Nutrition Examination Survey (NHANES) 2003-2010 and 2015-2018.

BACKGROUND: Information on the influences of daily eating frequency (DEF) and nighttime fasting duration (NFD) on biological aging is minimal. Our study investigated the potential associations of DEF and NFD with accelerated aging. METHODS: Out of 24212 participants in NHANES 2003-2010 and 2015-2018, 4 predicted age metrics [homeostatic dysregulation (HD), Klemera-Doubal method (KDM), phenoAge (PA), and allostatic load (AL)] were computed based on 12 blood chemistry parameters. Utilizing 24-h dietary recall, DEF was measured by the frequency of eating occurrences, while NFD was determined by assessing the timing of the initial and final meals throughout the day. Weighted multivariate linear regression models and restricted cubic spline (RCS) were utilized to examine the associations. RESULTS: Compared to DEF of ≤ 3.0 times, subjects with DEF ≥ 4.6 times demonstrated lower KDM residual [ß: -0.57, 95% confidence-interval (CI): (-0.97, -0.17)] and PA residual [ß: -0.47, 95% CI: (-0.69, -0.25)]. In comparison to NFD between 10.1 and 12.0 h, individuals with NFD ≤ 10.0 h were at higher HD [ß: 0.03, 95% CI: (0.01, 0.04)], KDM residual [ß: 0.34, 95% CI: (0.05, 0.63)], and PA residual [ß: 0.38, 95% CI: (0.18, 0.57)]. Likewise, those with NFD ≥ 14.1 h also had higher HD [ß: 0.02, 95% CI: (0.01, 0.04)] and KDM residual [ß: 0.33, 95% CI: (0.03, 0.62)]. The results were confirmed by the dose-response relationships of DEF and NFD with predicted age metrics. Lactate dehydrogenase (LDH) and globulin (Glo) were acknowledged as implicated in and mediating the relationships. CONCLUSIONS: DEF below 3.0 times and NFD less than 10.0 or more than 14.1 h were independently associated with higher predicted age metrics.

Joint effects of prescription opioid use and physical activity on depressive symptoms.

OBJECTIVES: The possible interaction of prescription opioid use and physical activity with regard to depressive symptoms has not been well studied. This study aimed to investigate the joint effects of prescription opioid use and physical activity on depressive symptoms. STUDY DESIGN: Cross-sectional study. METHODS: This cross-sectional study included 29,542 participants from the National Health and Nutrition Examination Survey (2007 to March 2020). Depressive symptoms were evaluated using the Patient Health Questionnaire-9. Multivariable logistic regression models were used to examine the association. RESULTS: Of the 29,542 adults, 2598 had depressive symptoms (weighted, 7.7%), 1845 used prescription opioids (weighted, 6.0%), and 18,373 (weighted 67.0%) achieved the recommended physical activity. After multivariable adjustment, the odds ratio (OR) of depressive symptoms was 4.06 (95% confidence interval [CI]: 3.28, 5.02) for both prescription opioid use and inactive physical activity compared to those without either condition. No multiplicative interaction was observed for prescription opioid use and inactive physical activity on depressive symptoms (OR = 1.26 [95% CI: 0.87, 1.81]). However, additive interaction was statistically significant between the 2 exposures (relative excess risk due to interaction = 1.34 [95% CI: 0.31, 2.36]; attributable proportion due to interaction = 0.33 [95% CI: 0.12, 0.54]; synergy index = 1.78 [95% CI: 1.12, 2.83]). CONCLUSIONS: Prescription opioid use and inactive physical activity interacted synergistically to affect depressive symptoms.

Association of resting heart rate and physical activity with cardiovascular mortality: A population-based cohort study of Korean adults.

To examine the independent and combined association of resting heart rate (RHR) and physical activity (PA) with risk of cardiovascular disease (CVD) mortality. RHR was categorized as < 60, 60-69, 70-79, and ≥ 80 bpm. Meeting PA guidelines was defined as ≥ 150 min/week of moderate to vigorous physical activity (MVPA). Cox proportional hazard models were used to calculate hazard ratios (HRs) for CVD mortality associated with RHR and PA. Among 31,697 participants, 311 CVD deaths occurred during 9.2 years of follow-up. Compared to RHR of 60-69 bpm, the risk of CVD mortality was higher in RHR of < 60 bpm (HR, 1.48; 95% CI, 1.05-2.10) and ≥ 80 bpm (HR, 1.42; 95% CI, 1.06-1.91). Participants who met PA guidelines had a lower risk of CVD mortality (HR, 0.59; 95% CI, 0.44-0.78). Among physically inactive adults compared to participants in RHR of 60-69 bpm with meeting PA guidelines, the adjusted HR for CVD mortality was 2.41 (95% CI, 1.42-4.08) for RHR of < 60 bpm, 1.59 (95% CI, 1.01-2.49) for RHR of 60-69 bpm, 1.98 (95% CI, 1.23-3.20) for RHR of 70-79 bpm and 2.41 (95% CI, 1.50-3.89) for RHR of ≥ 80 bpm Exceeding the minimum level of PA guidelines may attenuate the risk of CVD mortality associated with RHR.

Associations of healthy eating patterns with biological aging: national health and nutrition examination survey (NHANES) 1999-2018.

BACKGROUND: Healthy dietary patterns have been negatively associated with methylation-based measures of biological age, yet previous investigations have been unable to establish the relationship between them and biological aging assessed through blood chemistry-based clinical biomarkers. We sought to assess the associations of 4 dietary metrics with 4 measures of biological age. METHODS: Among 16,666 participants in NHANES 1999-2018, 4 dietary metrics [Dietary inflammatory index (DII), Dietary approaches to stop hypertension index (DASH), Alternate mediterranean diet score (aMED), and Healthy eating index-2015 (HEI-2015)] were calculated through the 'dietaryindex' R package. Twelve blood chemistry parameters were utilized to compute 4 indicators of biological age [homeostatic dysregulation (HD), allostatic load (AL), Klemera-Doubal method (KDM), and phenotypic age (PA)]. Binomial logistic regression models and restricted cubic spline (RCS) regression were employed to evaluate the associations. RESULTS: All 4 dietary metrics were significantly associated with biological age acceleration or deceleration. In comparison to the lowest DII, the odds ratios (ORs) for accelerated HD, AL, KDM, and PA were 1.25 (1.08,1.45), 1.29 (1.11,1.50), 1.34 (1.08,1.65), and 1.61 (1.39,1.87) for the highest. The multivariable-adjusted ORs of the highest quartile of DASH, aMED, and HEI-2015 were 0.85 (0.73,0.97), 0.88 (0.74,1.04), and 0.84 (0.74,0.96) for HD, 0.64 (0.54,0.75), 0.61 (0.52,0.72), and 0.70 (0.59,0.82) for AL, 0.68 (0.54,0.85), 0.62 (0.50,0.76), and 0.71 (0.58,0.87) for KDM, and 0.50 (0.42,0.59), 0.64 (0.54,0.76), and 0.51 (0.44,0.58) for PA when compared with the lowest level. The findings were validated by the best-fitting dose-response curves for the associations. Among participants consuming dietary supplements (Pinteraction < 0.05), the positive effects of a healthy dietary pattern on biological aging were more pronounced. Systemic immune inflammation index (SII) and atherogenic index of plasma (AIP) were identified as being involved in and mediating the associations. CONCLUSIONS: Biological aging assessed through blood chemistry-based clinical biomarkers is negatively associated with diet quality. The anti-aging benefits of improving the diet may be due to its ability to reduce inflammation and lower blood lipids.

Corrigendum: Association between weight-adjusted waist index and kidney stones: a propensity score matching study.

[This corrects the article DOI: 10.3389/fendo.2024.1266761.].

Associations of prognostic nutritional index with risk of all-cause and cardiovascular disease mortalities in persons with gestational diabetes mellitus: A NHANES-based analysis.

OBJECTIVE: To investigate relationships between prognostic nutritional index (PNI) during pregnancy and risk of all-cause mortality (ACM) and cardiovascular disease (CVD) mortality in persons with gestational diabetes mellitus (GDM). METHODS: A cross-sectional study was conducted using NHANES data from 2007 to 2018, and weighted Cox regression models were established. Restricted cubic spline analysis was used to unveil associations of PNI with risk of ACM and CVD mortalities in individuals with GDM. Receiver operating characteristic curve was employed for determination of threshold value for association of PNI with mortality. Sensitivity analysis was performed to verify the stability of the results. RESULTS: 734 GDM individuals and 7987 non-GDM individuals were included in this study. In GDM population, after adjusting for different categorical variables, PNI was significantly negatively correlated with ACM risk. Subgroup analysis showed that among GDM populations with no physical activity, moderate physical activity, parity of 1 or 2, negative correlation between PNI and risk of ACM was stronger than other subgroups. Sensitivity analysis results showed stable negative correlations between PNI and ACM and CVD mortality of total population, and between PNI and ACM of GDM. CONCLUSION: In individuals with GDM, PNI was negatively correlated with ACM risk, especially in populations with no physical activity, moderate physical activity, and parity of 1 or 2. PNI = 50.75 may be an effective threshold affecting ACM risk in GDM, which may help in risk assessment and timely intervention for individuals with GDM.

Oral microbiome diversity shapes the association between sleep duration and depression.

Background: Emerging research suggests the relationship between the oral microbiome and sleep duration with depression, however, the precise mechanisms by which oral microbial diversity influences the sleep-depression nexus remain to be elucidated. Methods: We analyzed data from 4,692 participants in the National Health and Nutrition Examination Survey (NHANES), incorporating key demographic variables, oral microbiome diversity metrics, sleep duration, and depression assessment variables. Classical multidimensional scaling facilitated dimensionality reduction, while unsupervised clustering divided participants into groups based on ß-diversity dissimilarity matrices. We examined the moderating effects of oral microbiome diversity on the sleep-depression relationship by incorporating interaction terms sleep-oral microbiome diversity into multiple linear regression models. Results: Our analysis revealed a U-shaped relationship between sleep duration and depression. Specifically, α-diversity was a significant moderator, with reduced diversity linked to an increased depression risk in participants with insufficient sleep. Regarding ß-diversity, using both Bray-Curtis and UniFrac distance measures, Cluster 2 exhibited the strongest associations in sleep-deprived individuals (Bray-Curtis: ß = 1.02, p < 0.001; Weighted UniFrac: ß = 0.91, p < 0.001). In contrast, Cluster 1 displayed notable effects in individuals with excessive sleep (Bray-Curtis: ß = 0.63, p = 0.008). Additionally, Cluster 3 was prominently associated with depression in sleep-deprived participants using unweighted UniFrac distance (ß = 0.93, p < 0.001), and Cluster 2 was significant among those with excessive sleep across both unweighted (ß = 0.80, p = 0.0004) and weighted UniFrac distances (ß = 0.60, p = 0.001). Conclusion: This study highlights the crucial role of oral microbiome diversity in moderating the U-shaped relationship between sleep duration and depression risk.

Associations between single and combined exposures to environmental phenols and ulcerative colitis in American adults.

OBJECTIVE: The etiology of ulcerative colitis (UC) is complex and involves multiple factors, with exposure to environmental toxins potentially contributing greatly to its pathogenesis. Therefore, this study was carried out with the purpose of delving into the associations between single and combined exposures to environmental phenols and UC among American adults. METHODS: Survey data from the 2009-2010 National Health and Nutrition Examination Survey were selected for our research. The associations between single and combined exposures to environmental phenols and the prevalence of UC were analyzed using weighted multivariate logistic regression models as well as Bayesian kernel machine regression (BKMR). RESULTS: A total of 1,422 adults aged 20 years old and above were included in this study, 17 of whom had UC. The correlation matrix showed strong associations between 2,4-dichlorophenol (2,4-DCP) and 2,5-dichlorophenol (2,5-DCP) (R = 0.81), as well as between 2,4,5-trichlorophenol (2,4,5-TCP) and 2,4,6-trichlorophenol (2,4,6-TCP) (R = 0.73). The logistic regression model revealed that, after adjusting for confounders, exposure to environmental phenols was positively associated with the prevalence of UC, with 2,4,6-TCP showing a significant association (OR = 2.37, 95 % CI = 1.10, 5.09, P = 0.037). The BKMR analysis indicated an upward trend in the overall effect of combined exposures to environmental phenols on UC. All five phenols contributed to this effect, with 2,4,6-TCP exhibiting the most pronounced effect. When other compounds were fixed at the 50th percentile, the impact of the five phenols on UC demonstrated a positive association, without any noteworthy interaction among the compounds. CONCLUSION: Our findings suggested that exposure to environmental phenols may contribute to the occurrence of UC among American adults.

Sex differences in the association between the muscle quality index and the incidence of depression: A cross-sectional study.

BACKGROUND: Depression presents significant challenges to mental health care. Although physical activity is highly beneficial to mental and physical health, relatively few studies have conducted on the relationship between them. AIM: To investigate the association between muscle quality index (MQI) and incidence of depression. METHODS: The data used in this cross-sectional study were obtained from the 2011-2014 National Health and Nutritional Examination Survey, which included information on MQI, depression, and confounding factors. Multivariable logistic regression models were employed, while taking into account the complex multi-stage sampling design. A restricted cubic spline model was utilized to investigate the non-linear relationship between the MQI and depression. Additionally, subgroup analyses were performed to identify influential factors. RESULTS: The prevalence of depression in this population was 8.44%. With the adjusted model, the MQI was associated with depression in females (odds ratio = 0.68, 95% confidence interval: 0.49-0.95) but not in males (odds ratio = 1.08, 95% confidence interval: 0.77-1.52). Restricted cubic spline adjustment of all covariates showed a significant negative non-linear relationship between depression and the MQI in females. The observed trend indicated an 80% decrease in the risk of depression for each unit increase in MQI, until a value of 2.2. Subsequently, when the MQI exceeded 2.2, the prevalence of depression increased by 20% for every unit increase in the MQI. Subgroup analyses further confirmed that the MQI was negatively associated with depression. CONCLUSION: The MQI was inversely correlated with depression in females but not males, suggesting that females with a higher MQI might decrease the risk of depression.

Dietary selenium intake and sarcopenia in American adults.

Background: The relationship between dietary selenium intake and sarcopenia remains poorly understood. Therefore, this study investigates the associations between dietary selenium intake and sarcopenia among American adults. Methods: This cross-sectional study analyzed data from 19,696 participants in the National Health and Nutrition Examination Survey (NHANES) for the periods 1999-2006 and 2011-2018. Appendicular muscle mass, assessed using dual-energy x-ray absorptiometry and adjusted for body mass index, was used as a marker for sarcopenia. Dietary selenium intake was evaluated using the 24-h dietary recall system, and the study accounted for the complex sampling methodology and incorporated dietary sample weights in the analysis. Results: Among the 19,696 participants, the prevalence of sarcopenia was found to be 8.46%. When compared to the lowest quintile of dietary selenium intake (Q1, < 80.10 µg/day), the odds ratios for sarcopenia in the second quintile (Q2, 80.10-124.61 µg/day) and the third quintile (Q3, >124.61 µg/day) were 0.80 [95% confidence interval (CI): 0.70-0.92, p = 0.002] and 0.61 (95% CI: 0.51-0.73, p < 0.001), respectively. A negative relationship was observed between dietary selenium intake and sarcopenia (non-linear: p = 0.285). Furthermore, sensitivity analyses revealed a robust association between selenium intake and the prevalence of sarcopenia after further adjusting for blood selenium levels. Conclusion: The results suggest an inverse association between dietary selenium intake and the prevalence of sarcopenia among American adults.

Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and diabetic kidney disease in patients with diabetes in the United States: a cross-sectional study.

BACKGROUND: This paper investigated the link between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and diabetic kidney disease (DKD) in adult diabetic patients and identified the optimal NHHR value for impacting DKD. METHODS: This cross-sectional research made use of records from the National Health and Nutrition Examination Survey (NHANES) executed between 2005 and 2016. The link of NHHR to DKD risk was analyzed by logistic regression and restricted cubic spline (RCS) models. The stability and reliability of the results were assessed by subgroup analysis and sensitivity analysis. RESULTS: In total, 4,177 participants were involved. As a continuous variable, NHHR was markedly connected to an increased risk of DKD (OR 1.07, 95% CI 1.02, 1.12, P < 0.01). When NHHR was grouped in quartiles, relative to the reference set, the highest NHHR group was also linked to a heightened risk of DKD (OR 1.23, 95% CI 1.01, 1.50, P < 0.05). The outcome of RCS show a "J" shaped correlation between NHHR and DKD risk (P for nonlinear = 0.0136). The risk of developing DKD was the lowest when NHHR equals 2.66. Subgroup analysis revealed that the link of NHHR to DKD persisted in participants aged below 40, females, non-smokers, and those without hyperuricemia. Sensitivity analysis demonstrated a certain robustness in this association. CONCLUSION: A meaningful link is present between NHHR and DKD. An NHHR value of around 2.66 could represent the ideal cutoff for assessing DKD risk.

Using anthropometric parameters to predict insulin resistance among patients without diabetes mellitus.

Anthropometric parameters are widely used in the clinical assessment of hypertension, type 2 diabetes, and cardiovascular disease. However, few studies have compared the association between different anthropometric parameters and insulin resistance (IR). This study was aimed at investigating the relationship between 6 indicators, including body mass index (BMI), calf circumference (CC), arm circumference (AC), thigh circumference (TC), waist circumference (WC), waist-height ratio (WHtR), and IR. Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) was used to measure IR. Weighted linear regression was used to assess the relationship between different parameters and IR. The receiver operating characteristic curve (ROC) was employed to compare the strength of the relationship between different anthropometric parameters and IR. A total of 8069 participants were enrolled in our study, including 4873 without IR and 3196 with IR. The weighted linear regression results showed that BMI, CC, AC, TC and WC were significantly correlated with IR, except WHtR. After adjusting for multiple confounding factors, we found that BMI, AC and WC were significantly positively correlated with IR, while TC was significantly negatively correlated with IR. Logistic regression results showed that a larger TC was associated with a decreased risk of IR. In addition, BMI and WC had similar areas under the curve (AUC: 0.780, 95% CI 0.770-0.790; AUC: 0.774, 95% CI 0.763-0.784, respectively), which were higher than TC and AC (AUC: 0.698, 95% CI 0.687-0.710, AUC: 0.746, 95% CI 0.735-0.757, respectively). To our knowledge, this is the first study to report a negative correlation between TC and IR among patients without diabetes mellitus. Therefore, TC may be a new tool to guide public health and a clinical predictor of IR in non-diabetic patients.