Sample Weight Research Articles

Association between maternal religious service attendance and pregnancy loss in the United States: a secondary analysis of the Future Families & Child Wellbeing Study.

Accumulating evidence suggests that spirituality and religiosity may be associated with improved health outcomes. However, few studies have examined maternal religiosity as a protective factor for perinatal outcomes. We explored the association between maternal religious attendance and pregnancy loss. Data were drawn from the Future Families & Child Wellbeing Study's first and second waves and medical records (n=1874). Religious attendance was a self-reported response to the question "About how often do you attend religious services?" Pregnancy loss was measured from responses to the second wave survey question, "Since focal child's birth, have you had any miscarriages/abortions/stillbirths?" Logistic regression estimated odds ratios (OR) and 95% confidence intervals (CI) for the association between maternal religious attendance frequency and pregnancy loss, overall and by race. Models were adjusted for sampling weights, religious preference, socioeconomic and behavioral factors. 8% (n=164) of mothers reported having a pregnancy loss. Of those with a pregnancy loss, 28% (n=46) attended services hardly ever and 20% (n=20) attended services once a week or more. Women who attended services more frequently had 58% increased odds of not experiencing a pregnancy loss (OR:1.58;95%CI:1.01,2.48) after adjusting for potential confounding. A post hoc analysis found no difference in pregnancy loss type or subsequent reproductive history based on attendance level. Results suggest that higher maternal religious attendance frequency may be a protective factor for pregnancy loss. Further research is needed to understand the association between maternal religious attendance and mechanisms for pregnancy loss.

When periphery rules: Enhanced sampling weights of the visual periphery in crowding across dimensions

When periphery rules: Enhanced sampling weights of the visual periphery in crowding across dimensions

Noticing health warning labels and intentions to quit smokeless tobacco products: results from two Global Adult Tobacco Survey rounds, India

Introduction: Health warning labels (HWLs) are one of the key strategies for tobacco control. The current study assessed the individual characteristics affecting the noticeability of HWLs and the thought of quitting smokeless tobacco (SLT) on noticing HWLs. We further estimated the temporal changes in noticeability and thought of quitting after noticing HWLs over time in India. Methods: Data from two rounds (2009–2010 and 2016–2017) of GATS (Global Adult Tobacco Survey) from India were analysed to understand the pattern of SLT usage and estimate the relative changes in the noticeability of HWLs and the thought of quitting SLT among those who noticed HWLs. Sampling weights were used during the analysis. Multivariate binary logistic regression was used to explore the determinants for the noticeability of HWLs and encourage the intention to quit SLT after noticing the HWLs. Results: About 25.9% and 20.6% of participants consumed SLT daily or non-daily in two rounds of GATS. Overall, there was a 14% relative increase in noticing the HWLs and a 20% increase in the thought of quitting in GATS-2 compared with GATS-1. The adjusted odds ratio of observing HWLs among SLT users was 1.51 times (95% confidence interval (CI), 1.44–1.58) in round 2 compared with round 1, while the odds ratio concerning the thought of quitting SLT after noticing HWLs was 1.95 times (95% CI, 1.84–2.06) in round 2 compared with round 1. Conclusions: We observe a consistent increase in the noticeability of HWLs and intentions to quit in SLT users, with significant variations across socio-demographic characteristics calling for concerted efforts. SLT being the major form of tobacco usage in India and Asian countries, HWLs alone cannot bring down the consumption rates, and it needs to be supported by strict implementation of SLT legislation for long-lasting impact.

Prevalence, mortality and risk factors for self-reported COPD among smokers and never smokers, NHANES 1999-2018.

Cigarette smoke is the main risk factor for chronic obstructive pulmonary disease (COPD), but 25% to 50% of cases occur in non-smokers. In the US, limited recent national data compare COPD prevalence between smokers and never smokers. Furthermore, our study seeks to explore the prevalence and mortality of self-reported COPD among smokers (including current smokers and ex-smokers) and never smokers in the US from 1999 to 2018, and to identify the risk factors and differences. This cross-sectional analysis used data from the National Health and Nutrition Examination Survey (NHANES) 1999-2018. Age-standardized prevalence of self-reported COPD among current smokers, ex-smokers, and never smokers was calculated using sample weights and 2010 US Census estimates. Risk factors were evaluated through weighted logistic regression models. Subsequently, participants who enrolled in the study cohort were followed until 31 December 2019, to determine all-cause mortality rates. Between 1999 and 2018, the weighted prevalence of COPD among current smokers, ex-smokers, and never smokers in the U.S. was 12.6%, 9.6%, and 4.1%, respectively. The mortality rates observed were 21.1% among current smokers with COPD, 29% among ex-smokers with COPD, and 12% among never smokers with COPD. Over this period, among the general population in the U.S., the proportion of current smokers has declined, the proportion of never smokers has increased, and the proportion of ex-smokers has remained relatively stable. From 1999 to 2018, COPD prevalence rose from 13.7% to 21.9% among current smokers, stayed at 10.1% among ex-smokers, and dropped from 4.9% to 3.3% among never smokers. Independent risk factors for COPD across all groups included being female, older, and lower income. In particular, US citizens and non-Hispanic Whites (among ex-smokers and never smokers) were at higher risk compared to their counterparts. The prevalence and all-cause mortality of COPD among current smokers and ex-smokers remain elevated. Although the prevalence of COPD among never smokers is gradually declining, it continues to be significant, thereby maintaining a substantial burden of disease. Furthermore, common independent risk factors for COPD across current smokers, ex-smokers, and never smokers include female gender, advanced age, lower income, and deviations from normal body weight whether overweight or underweight.

Promotion of polyhydroxyalkanoates-producing granular sludge formation by lactic acid using anaerobic dynamic feeding process

To promote the formation of granular sludge with high polyhydroxyalkanoates (PHAs) synthesis ability, an anaerobic dynamic feeding process (AnDF) was proposed. This process combines the feast-famine mode with an anaerobic plug flow feeding process and involving variations in cycle length and settling time. The effects of lactic acid (LA) content (0 %, 20 %, and 40 % COD) on sludge granulation and PHAs production were investigated using three AnDF reactors (R1, R2, and R3). The results showed that the AnDF process feeding with LA not only effectively promoted sludge granulation but also improved its PHAs synthesis ability. The granules were quickly observed in R3 after 50 days of cultivation, with an average diameter of 0.69 mm. The maximum PHAs content reached 47.0 wt% in R3, representing a 30.09 % increase compared to R1. Additionally, extracellular polymeric substances (EPS)-producing bacteria observed in granular sludge may be the prime drivers of the formation of PHAs-producing granular sludge (PHAGS), which was defined as granular sludge with an average particle size larger than 0.30 mm and PHAs content above 40 % cell dry weight (CDW) of sludge samples.

Use of Censored Data Methods to Estimate Blood Pressure Percentiles in US Adults

Abstract Blood pressure (BP) levels are important modifiable risk factors for incident cardiovascular disease (CVD). However, many adults are on anti-hypertensive medication (MEDS) which lowers their BP but is a marker for increased CVD risk. To capture the association of BP and its treatment with risk, it is important to estimate BP levels in the absence of medication, i.e., Underlying BP. One proposed ad-hoc solution is to add a fixed increment e.g., 10/5 mm Hg to systolic (SBP)/diastolic (DBP) for people on MEDS to approximate their Underlying BP. However, what this increment should be, and whether it applies to all MEDS users is unclear. In this manuscript, we propose a novel time-to-event approach to estimate Underlying BP, treating BPs on MEDS as censored observations. The results indicate that the median Treatment Effect (i.e., Underlying BP – Observed BP) for SBP/DBP is 12.0/7.7 for men and 16.9/6.5 for women and is significantly modified by age, BMI and black race. The Underlying BP for MEDS users is then combined with the observed BP for non-MEDS users to derive age-sex-specific BP percentiles for Underlying BP based on a representative sample of normal weight U.S. adults aged 18-79 using NHANES data from 1999-2018.

Estimating Test-Retest Reliability in the Presence of Self-Selection Bias and Learning/Practice Effects.

Test-retest reliability is often estimated using naturally occurring data from test repeaters. In settings such as admissions testing, test takers choose if and when to retake an assessment. This self-selection can bias estimates of test-retest reliability because individuals who choose to retest are typically unrepresentative of the broader testing population and because differences among test takers in learning or practice effects may increase with time between test administrations. We develop a set of methods for estimating test-retest reliability from observational data that can mitigate these sources of bias, which include sample weighting, polynomial regression, and Bayesian model averaging. We demonstrate the value of using these methods for reducing bias and improving precision of estimated reliability using empirical and simulated data, both of which are based on more than 40,000 repeaters of a high-stakes English language proficiency test. Finally, these methods generalize to settings in which only a single, error-prone measurement is taken repeatedly over time and where self-selection and/or changes to the underlying construct may be at play.

Measuring shrinkage of expansive soils using a novel automated high‐frequency setup

AbstractSoil shrinkage characteristic curves are used to describe the shrinkage behavior and hydraulic properties of unsaturated soils. To construct soil shrinkage characteristic curves, a high‐data‐density measurement method is needed that relates water content to soil volume changes. We present a fully automated soil shrinkage measurement setup, based on the simplified evaporation method, to characterize the shrinkage behavior of undisturbed natural expansive clay soils. The high data density creates the opportunity to produce soil shrinkage characteristic curves without the need for a mathematical model. The technique allows for resaturation of the samples after drying, enabling differentiation between reversible and irreversible shrinkage. The setup consists of the commercialized HYPROP2 apparatus combined with optical distance sensors to measure the horizontal and vertical dimensions of the samples, yielding data on the sample volume, weight, and soil water suction. The measurement frequency is once per 10 min, and the measurement period is up to 4 weeks, providing a detailed time series of the drying and shrinkage characteristics. The setup can capture the different shrinkage phases and offers the opportunity to relate the soil shrinkage characteristic curve to soil water suction. The measurement data acquisition rate and accuracy enable detailed interpretation of soil water retention curves for nonrigid soils and are shown to be essential for understanding and quantifying the shrinkage potential of several types of deposits.

PSIII-10 Flaxseed oil-based supplement alters water consumption and plasma fatty acid profile of beef heifers

Abstract The objective of this study was to determine the effects of a flaxseed oil-based supplement (FlaxLic, New Generations, SD) on reproductive parameters, feeding behavior, and lipid profile in beef heifers. Crossbred Angus heifers [n = 60 body weight (BW) = 397kg ± 5.2 kg) were blocked by BW and antral follicle count and randomly assigned to two supplementation treatments: free-choice commercial lose mineral supplement (CON; n = 30) or free-choice flaxseed oil-based supplement (FLAX; n = 30) for 7 wk. Heifers were individually fed via the Insentec feeding system (Insentec RIC, Hokofarm, Marknesse, Netherlands), where basal diet (TMR) and supplements were provided in separate feeders to measure supplement intake and feeding behavior. Further, water intake and behavior were measured via Insentec water system. Individual intake was compiled over 24 h for each animal. Body weight, transrectal ultrasonography, and blood samples were collected weekly. On wk 5, heifers were enrolled in a fixed-time artificial insemination (FTAI) commercial protocol. Largest follicle diameter (LF) and corpus luteum (CL) presence were recorded weekly and on d of the FTAI protocol (d 0, d 7, and d 0). Pregnancy diagnosis was performed 30 d and 60 d following AI. Blood samples were analyzed for progesterone (P4) by radioimmunoassay (RIA) to determine puberty attainment before wk 5, and fatty acid profile was determined via gas chromatography-flame ionization detection. Heifers with a CL or P4 ≤ 1.0 ng/mL were considered pubertal. Data were analyzed using SAS 9.4. ADG was similar between groups (P = 0.90) but was affected by week (P < 0.01). TMR intake was similar in duration and quantity (P > 0.18) between groups. Supplement intake was greater (P < 0.01) for FLAX (0.73 ± 0.03 kg/d) compared with CON (0.18 ± 0.02 kg/d) and from wk 2 to wk 8 (P = 0.01). Time spent consuming the supplements was greater for FLAX compared with CON heifers (62.65 ± 2.11 vs 0.10 ± 0.11 min/d, respectively) over the entire trial (P < 0.01). Further, FLAX heifers consumed less water than CON heifers (32.2 ± 0.39 vs 33.93 ± 0.35 kg/d, respectively; P = 0.03) and from wk 2 to wk 7 (P = 0.03). LF was not different between groups on any of the days of the protocol (d 0, d 7, d 0; P > 0.20). Additionally, P4 (P ≤ 0.20), puberty attainment by wk 5 (P = 0.24), and pregnancy rates (P > 0.48) were similar between groups. Concentrations of arachidonic acid (3.00 ± 0.24 vs 2.32 ± 0.19 mg/mL; P = 0.04), linoleic (60.11 ± 4.34 vs 40.35 ± 4.04 mg/mL; P = 0.002), αLinolenic (16.73 ± 0.26 vs 15.86 ± 0.23 mg/mL; P = 0.02), and total polyunsaturated fatty acids (PUFA; 130.52 ± 5.97 vs 111.19 ± 5.56 mg/mL; P = 0.02) were greater on wk 8 for FLAX compared with CON heifers. Collectively, these findings did not show evidence that the flaxseed oil-based supplement affects variables that impact reproductive performance. However, it altered the plasma lipid profile, increasing omega-3, arachidonic, and linoleic fatty acids, as well as total PUFA.

Neighborhood environments and psychological distress 6-years later: results from the San Diego HCHS/SOL community and surrounding areas study.

The current study examined associations of social and built features of neighborhood environments with psychological distress 6 years later and whether these associations were explained by stress and social factors, among Hispanic/Latino adults from the HCHS/SOL and SOL CASAS Ancillary Study. In the SOL CASAS Ancillary Study, HCHS/SOL San Diego participants' baseline (2008-2011) home addresses were geocoded, neighborhoods were defined using 800m radial buffers, and variables representing neighborhood socioeconomic deprivation, social disorder, walkability, and greenness were created. Psychological distress (anxiety and depression symptoms) and proposed pathway variables chronic stress, social support, and family cohesion were assessed at HCHS/SOL Visit 2 (2014-2017). On average, the population (n = 2785) was 39.47 years old, 53.3% were women, and 92.3% were of Mexican heritage. In complex survey regression analyses that accounted for sociodemographic covariates, the complex sampling design, and sample weights, greater baseline neighborhood socioeconomic deprivation predicted lower family cohesion at Visit 2 (B = -0.99, 95% CI [-1.97, -0.06]). Path models showed indirect associations of baseline neighborhood socioeconomic deprivation with Visit 2 psychological distress through family cohesion (MacKinnon's 95% CI depression [0.001, 0.026]; 3.9% of the variance accounted for; anxiety [0.00071, 0.019] 3.0% of the variance accounted for). Among adults of mostly Mexican heritage from the San Diego, CA area, neighborhood deprivation indirectly predicted later psychological distress through family cohesion. No other effects of neighborhood variables were observed.

Sleep disorders are closely associated with coronary heart disease in US adults (≥20 years): A cross-sectional study.

The purpose of this research was to assess the association between sleep disorders and coronary heart disease (CHD) using data from the National Health and Nutrition Examination Survey (NHANES) database. This cross-sectional study included 9886 eligible participants with valid data on sleep disorders and CHD from the NHANES from 2011 to 2014. The complex NHANES sampling led to use of sample weights in analyses. Various statistical methods and covariates were utilized. Significance was set at P < .05. Receiver operating characteristic curves were used to assess the diagnostic efficacy of sleep disorders in relation to CHD. Sleep disorders were significantly associated with CHD (P < .001). In the model corrected for age, sex, race, hypertension, diabetes, and uric acid as covariates, sleep disorders and CHD remained significantly associated (P < .001, odds ratio = 1.83 [95% confidence interval: 1.31-2.58]). The correlation between sleep disorders and CHD varies by age and gender. Sleep disorders have some predictive value for CHD (0.5 < area under curve ≤ 0.7). Sleep disorders were associated with and predictive of CHD risk, warranting consideration in clinical assessments.

From individual motivation to substance use initiation: A longitudinal cohort study assessing the associations between reward sensitivity and subsequent risk of substance use initiation among US adolescents

BackgroundSubstance use in youth remains a pressing problem in the United States. Existing studies have shown the importance of neuropathways responsible for affective response and reward motivation in adolescents’ substance use initiation and maintenance. However, limited observational studies have explored the relationship between aspects of behavioral motivation traits and the likelihood of substance use initiation in adolescents. In this prospective cohort study, we assessed the associations between behavioral motivation traits based on the Behavioral Inhibition and Approach Systems (BIS-BAS) Scale and substance use initiation using data from the Adolescent Brain Cognitive Development (ABCD) study. MethodIn the 9216 eligible sample population, we assessed the associations between mean Behavioral Inhibition System (BIS) / Behavioral Approach System (BAS) scores measured at year 2 of the ABCD study and substance use initiation at year 3 of the ABCD study using multivariable logistic regressions adjusting for ABCD study site, sampling weights, as well as sociodemographic characteristics. ResultsWe found that higher BIS mean score was associated with higher odds of initiating substance use at year 3 (AOR=1.20, 95 % CI: 1.03, 1.40). Out of three BAS measure categories, only BAS Fun-seeking mean score was positively associated with higher odds of initiating substance use at year 3 (AOR=1.23, 95 % CI: 1.07, 1.43). ConclusionOur study showed that inhibitory and fun-seeking behavioral tendencies are associated with an increased likelihood of substance use initiation in adolescents. Our findings suggest a potential pathway linking emotional traits to early substance initiation in adolescents.

The association between neighbourhood walkability and blood lipids: a Canadian population study

We examined the association between walkability and blood lipids in a nationally representative sample of 29,649 participants aged 3–79 years who participated in the Canadian Health Measures Survey (CHMS) cycles 1 to 6. We focused on seven lipid biomarkers: apolipoprotein A (Apo A), apolipoprotein B (Apo B), triglycerides (TG), high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), total cholesterol (TC), and TC/HDL. Cross-sectional associations were analyzed using generalized linear mixed models incorporating survey-specific sampling weights. An increase in the Canadian Active Living Environments Index, a measure of neighborhood walkability, equivalent to the magnitude of its interquartile range (IQR) was associated with the following percentage (95% confidence intervals (CI)) changes in lipids: decreased TG, -2.85 (-4.77, -0.93) and TC/HDL, -1.68 (-2.80, -0.56), and increased HDL, 1.68 (0.93, 2.42). Significant effects were largely restricted to adults (aged 17 to 79). In the younger age group there were no significant associations between walkability and lipids in the fully adjusted model. Significant associations were more frequently seen in females than males. For females, fully adjusted significant inverse associations were observed for TG, LDL, and TC/HDL, and there were positive associations with HDL and Apo A. Canadians living in more walkable neighborhoods have more favorable lipid profiles, suggesting that the built environment has the potential to influence the risk profile for cardiovascular health, especially among adults and females.

Expanding the invertebrate medicine toolbox: evaluation of opisthosoma tonometry as a novel diagnostic tool for arachnids.

The objective of this study was to analyze the use of rebound tonometry, as a noninvasive diagnostic tool, in arachnids. 5 juvenile (yearling) female and 1 juvenile male curlyhair tarantulas (Tliltocatl albopilosus, previously Brachypelma albopilosum) were used to track estimated ventral opisthosoma pressures over a 9-month period of time. Younger, growing animals were selected as they are more likely than adults to go through multiple molts throughout the 9 months of the study length. An iCare TONOVET TV01 rebound tonometer was used to measure the estimated ventral opisthosoma pressures of the spiders. Measurements were obtained from the ventral opisthosoma, 1 of the thinnest areas of exocuticle throughout the body. Readings were obtained once per week from the ventral opisthosoma for the first 2 months, then once every 2 weeks for 1 month, then back to once per week for the remainder of the study. Additional measurements were obtained following each ecdysis, after a 2% body weight sampling of hemolymph, and at the end of the study to evaluate readings in response to induction of general anesthesia with 5% isoflurane gas and oxygen flow at 2 L/min for 10 minutes. The average of all estimated ventral opisthosoma pressure when spiders were not in molt was 26.19 mm Hg (SD, 3.54), with a statistically significant decrease postmolt to an average of 15.31 mm Hg (SD, 3.81), followed by a gradual increase back to premolt pressures over a 3-week period with an average of 22 days (SD, 1.93). Estimated ventral opisthosoma pressures decreased post hemolymph removal. There is not sufficient evidence that estimated ventral opisthosoma pressures changed over time following the anesthesia. This study demonstrates that tonometry can be used to generally assess the estimated ventral opisthosoma pressure, which could correlate with where a spider is in an ecdysis cycle.

Health-Related Behaviors and Perceived Health Status According to Water and Sugar-Sweetened Beverage Intake in Korean Adolescents.

The objective of this study was to determine the relationship between water and sugar-sweetened beverage (SSB) intake, health behaviors, and self-perceived health status using data from the 2019 Korea Youth Risk Behavior Web-based Survey (KYRBS). The subjects included in this analysis were 57,302 Korean adolescents from the 7th to 12th grades. The intake patterns of water and SSBs were categorized into four groups: Group I, adequate water intake (≥4 cups/day) and low frequency of SSB intake (≤1-2 times/week); Group II, adequate water intake and high frequency of SSB intake; Group III, inadequate water intake (<4 cups/day) and low frequency of SSB intake; Group IV, inadequate water intake and high frequency of SSB intake (≥3 times/week). Complex sample analyses were used for considering strata, clusters, and weights for samples. Significant differences were observed in the distribution of sociodemographic characteristics between the water and SSB intake groups. As grade levels increased or if students were female, there was a significant increase in the proportion of students characterized by low water intake and high consumption of SSB. Adolescents with healthier beverage habits, characterized by adequate water intake and low frequency of SSB consumption (Group I), generally abstained from smoking and alcohol, were more physically active, and maintained a desirable diet, reporting a better perceived health status. In contrast, those with higher SSB consumption and inadequate water intake (Group IV) were more likely to perceive their health as poor, with higher rates of smoking and alcohol use, lower physical activity levels, and poorer dietary habits compared to Group I. In conclusion, adolescents with desirable beverage consumption habits differed by sex and grade and they reported positive health behaviors and better overall health status. This suggests that there is a need for more active education and intervention in schools and families, as well as increased efforts by adolescents to promote healthy beverage habits.

Gender Differential Prevalence of Overweight and Obesity, Hypertension and Diabetes in South India: A Population-Based Cross-Sectional Study.

India is facing triple epidemic of Non communicable diseases (NCDs) including high body mass index (BMI), high blood pressure and high blood glucose, contributing to more than half of deaths of all mortality, however, information in different demographics is limited, especially, in India. The aim of the study is to compare the prevalence of overweight, obesity, hypertension, and diabetes, along with the occurrence of multi-morbidity, across gender-specific populations in rural, suburban, and urban regions of India. This was a cross-sectional, population-based study including adults aged 20 and above in rural, suburban, and urban areas near Coimbatore, India. All participants were interviewed using a detailed questionnaire and had their anthropometric measurements, including height, weight, blood pressure, and blood samples collected. Gender specific and location specific prevalence of overweight, obesity, hypertension, diabetes, and multimorbidity were assessed. This study included 2976 individuals, of which 865 were from rural areas, 1030 from sub-urban areas, and 1081 from metropolitan areas. The mean systolic and diastolic blood pressure were higher in rural participants than in sub-urban and urban participants, despite the fact that the prevalence of hypertension was higher in sub-urban (47.1%) than in rural (36.4%) and urban (39.7%, p < 0.001). In sub-group analysis, sub-urban areas had a greater prevalence of hypertension in both men and women (53.5% and 41.7%, p < 0.001) than rural areas (41.9% and 31.3%, p = 0.001) or urban areas (45.9% and 35.5%, p < 0.001). Compared to rural (16.1%) and urban (23%), sub-urban areas had a greater prevalence of diabetes (25.8%, p < 0.001). Urban residents (47.5%) had higher rates of overweight and obesity than rural (31.4%) and sub-urban (34.1%, p < 0.001) residents. The association between diabetes and hypertension was present in the unadjusted model and persisted even after age and BMI adjustments. Though not in men, higher levels of education were associated to a higher prevalence of diabetes in women. Diabetes was associated to being overweight or obese in women, however this association was significantly reduced once BMI was taken into account. The overall multimorbidity was 3.8%, however, women had a higher overlapping prevalence (2.8%) compared to men (1%, p < 0.001). Diabetes and hypertension were prevalent comorbidities across all demographics, with higher rates in suburban and urban areas. Women exhibited higher rates of multimorbidity than men, regardless of the demographic area.

A global reweighting approach for cross-domain semantic segmentation

Unsupervised domain adaptation semantic segmentation attracts much research attention due to the expensive pixel-level annotation cost. Since the adaptation difficulty of samples is different, the weight of samples should be set independently, which is called reweighting. However, existing reweighting methods only calculate local reweighting information from predicted results or context information in batch images of two domains, which may lead to over-alignment or under-alignment problems. To handle this issue, we propose a global reweighting approach. Specifically, we first define the target centroid distance, which describes the distance between the source batch data and the target centroid. Then, we employ a Fréchet Inception Distance metric to evaluate the domain divergence and embed it into the target centroid distance. Finally, a global reweighting strategy is proposed to enhance the knowledge transferability in the source domain supervision. Extensive experiments demonstrate that our approach achieves competitive performance and helps to improve performance in other methods.

Association between depression severity and trouble sleeping: A population-based study.

This study investigates the association between insomnia and depression severity, exploring sleep disturbances in individuals with depression. The aim is to establish a new foundation for managing patients with co-occurring depression and insomnia, using 2015 to 2016 National Health and Nutrition Examination Survey (NHANES) data. We employed a cross-sectional design, using NHANES data from 2015 to 2018. The study included 11,261 participants after excluding incomplete data. Depression severity, assessed using Patient Health Questionnaire-9 (PHQ-9) scores, served as the exposure variable. We considered various demographic and lifestyle factors as covariates in the multivariate adjustment model. Statistical analyses adhered to CDC recommendations, with sample weights incorporated to account for NHANES' complex sample design. Our study, encompassing 19,225 participants, revealed that higher PHQ-9 scores correlated with an increased likelihood of sleep disorders. In the fully adjusted model, a positive association emerged between PHQ-9 scores and trouble sleeping (OR = 3.95, 95% CI: 3.35-4.66, P < .0001). This relationship displayed an inverted U-shaped curve, with an inflection point at 28. Subgroup analysis and interaction tests indicated no reliance on factors such as gender, age, marital status, or BMI for the connection between depression severity and trouble sleeping (all P for interaction > .05). We identified a significant inverted U-shaped correlation between sleep disturbances and depression severity. This underscores the crucial importance of assessing sleep disorder risks in individuals with varying degrees of depression severity, facilitating personalized therapeutic interventions.

Fast identification of flammable chemicals based on broad learning system

Fast identification of flammable chemicals is essential for industrial production and laboratory safety. With the continuous advancement of sensor technology, data-driven methods have become a promising tool for gas identification. However, these methods face problems such as insufficient feature learning, unstable prediction of the single classifier, and overfitting caused by insufficient data. In this work, a kernel-based BLS (KBLS) method is proposed, in which the kernel matrix is used to calculate the sample distances and map the feature nodes to the kernel space to reduce the uncertainty. In addition, KBLS uses a pseudo-inverse method to solve the weights, which greatly avoids the risk of overfitting while improves computational efficiency. To avoid the errors caused by a single classifier for specific gas samples, KBLS is used as the weak learner and combined with the AdaBoost algorithm to form an Ada-KBLS classifier to achieve fast and accurate gas identification. In the Ada-KBLS model, the sample weights obtained by the previous weak learners are used to train the following weak learners. This method improves the classification performance by paying attention to difficult and misclassified samples and integrating the classification results of multiple weak learners. In addition, a dataset containing four flammable gases is used to verify the effectiveness of the Ada-KBLS model. The initial stage of all response data is divided into different time windows as the input of the model to test the fast gas identification ability of the method. The Ada-KBLS achieves an average classification accuracy of 98.4 % in the 4 s time window, the best among all models, and the training time is only 6.22 s. The result represents a 0.4 % improvement over the second-best model, KBLS, and a 4.5 % increase compared to the 93.9 % accuracy achieved by Random Forest (RF). In addition, the precision, recall, and F1-score of ethanol gas classification reach high values of 100 %. The experimental results demonstrate the robustness and effectiveness of the proposed method in handling the task of fast detection of flammable gases, thus promoting the application of BLS and ensemble learning in gas identification.

Analyzing childhood (0-59 months) malnutrition determinants in five West African Countries of Gabon, Gambia, Liberia, Mauritania, and Nigeria using survey logistic regression-insights from DHS data

BackgroundMalnutrition is one of the most critical health challenges confronting public health agencies in developing nations. This study aimed to determine the scope and underlying factors contributing to malnutrition in West African countries, specifically Gabon, Gambia, Liberia, Mauritania, and Nigeria.MethodFor this secondary data analysis, this study drew upon the demographic and health surveys (DHS) conducted within these West African nations. These surveys employed a complex sampling design involving a combination of stratification and cluster sampling in two stages, with varying probabilities of selection leading to weighted samples that effectively represented different components of the population. Given the intricacies of this sampling design, it is paramount to account for them when analyzing the survey data. To address this concern, this study applied a survey logistic regression model, which accommodates factors such as stratification, clustering, and sampling weights and departs from the assumption of independence inherent in the ordinary logistic regression model.ResultsThe outcomes of this model revealed several variables that emerged as statistically significant (p < 0.05) determinants of malnutrition. These influential factors encompass the region of the respondent, the current age of the mother, the highest level of education attained by the mother, the source of drinking water, the type of toilet facility, the household’s wealth status, the age and gender of the child, and whether the child experienced a fever in the preceding two weeks.ConclusionThese findings demonstrate with poignant clarity the importance of primary health care interventions in the recognition and management of malnutrition. The countries of interest should invest in public health care interventions including community workshops and outreach programs. Workshops may occur at primary health care facilities during queue waits, or health workers may work with community leaders to perform workshops in areas of high foot traffic, such as places of worship, shopping hubs and collection points for financial aid or grants.