Sampling Design Research Articles

Subclinical venous thromboembolism after pulmonary resection for lung cancer: an observational study

BackgroundSubclinical venous thromboembolism is a hidden pathology which may present with catastrophic consequences if not diagnosed at an early stage. This study was undertaken to estimate the occurrence and associated risk factors of subclinical deep vein thrombosis after lung resection for lung cancer patients. A prospective observational cohort study was performed in a tertiary cardiothoracic surgery center. One hundred fifty patients who underwent different types of lung resection for lung cancer were enrolled. Caprini’s risk score was assessed in all patients. All patients received prophylactic stockings and anticoagulants. On the 5th postoperative day, a duplex venous ultrasound of bilateral lower limbs was performed on every asymptomatic patient.ResultsOut of 150 patients enrolled in the study, 147 patients completed the study. Four patients (2.72%) developed subclinical deep vein thrombosis. The patients were divided into 2 groups: group 1 (n = 143) post-lung resection and no DVT and group 2 (n = 4) with post-lung resection subclinical DVT. No patient developed postoperative clinical DVT. The incidence was found to be highest in the group of individuals who had a longer stay in the ICU (odds ratio 37.9) (p = 0.04). Among the various pathologies, the incidence was higher in patients who received preoperative chemotherapy (odds ratio 21.9) (p = 0.001). One patient in the subclinical DVT group (25%) died, while no mortality was observed in the no DVT group.ConclusionsThe incidence of subclinical deep vein thrombosis is low in the postoperative period among patients undergoing lung resection for lung cancer if appropriate prophylactic measures are applied. However, patients receiving preoperative chemotherapy and those with longer periods of immobilization are at a higher risk of developing postoperative DVT despite anticoagulant prophylaxis. Due to the sample size and design limitations, the mentioned risk factors could be associated with DVT not a cause of DVT. It might be justified to screen these high-risk groups to detect subclinical DVT to allow for post-discharge prophylaxis.

Association of prior military service with olfactory function among older adults.

Olfactory dysfunction (OD) is a condition primarily affecting older adults. Several factors have been implicated in OD, such as age, socioeconomic status, and neurodegenerative disease; however, the effect of military service still requires additional investigation. Here, we aim to determine if there is an association between prior military service and OD among older adults. This cross-sectional study included 2268 adults from Round 1 of the National Social Life, Health, and Aging Project. OD was defined as 0-3 odors correctly identified on the 5-item Sniffin' Sticks test. Bivariate analysis was conducted to calculate crude odds ratios (cOR) for the association of prior military service with OD and identify covariates for regression. Associations between prior military service and OD were assessed using logistic regression, and adjusted odds ratios (aOR) were calculated controlling for age, gender, race/ethnicity, education, stroke history, dementia, diabetes, and mental health. All analyses were weighted using survey weights to account for sampling design. OD was present in 489 adults (21.6%). Among those with OD, the average age was 71.0 ± 7.9 years, whereas the average age in those without OD was 67.0 ± 7.2 years. Among adults with OD, 34.4% reported prior military service, compared to 27.7% of adults without OD (cOR = 1.37; 95% CI: 1.05-1.79). However, after adjusting for covariates, prior military service was not associated with OD (aOR: 1.09; 95% CI: 0.79-1.50). Older age (aOR: 1.07; 95% CI: 1.05-1.09) and worse mental health (aOR: 1.68; 95% CI: 1.14-2.49) were associated with OD. Prior military service was not associated with OD among older adults after controlling for covariates. More nuanced research is needed to examine correlations between OD and specific elements of military service such as duration, toxin exposure, and head trauma.Level of Evidence: Level 4.

Statistical inference from partially nominated sets: An application to estimating the prevalence of osteoporosis among adult women

This paper focuses on drawing statistical inference based on a novel variant of maxima or minima nomination sampling (NS) designs. These sampling designs are useful for obtaining more representative sample units from the tails of the population distribution using the available auxiliary ranking information. However, one common difficulty in performing NS in practice is that the researcher cannot obtain a nominated sample unless he/she uniquely determines the sample unit with the highest or the lowest rank in each set. To overcome this problem, a variant of NS, which is called partial nomination sampling, is proposed, in which the researcher is allowed to declare that two or more units are tied in the ranks whenever he/she cannot find the sample unit with the highest or the lowest rank. Based on this sampling design, two asymptotically unbiased estimators are developed for the cumulative distribution function, which is obtained using maximum likelihood and moment-based approaches, and their asymptotic normalities are proved. Several numerical studies have shown that the proposed estimators have higher relative efficiencies than their counterparts in simple random sampling in analyzing either the upper or the lower tail of the parent distribution. The procedures that we developed are then implemented on a real dataset from the Third National Health and Nutrition Examination Survey (NHANES III) to estimate the prevalence of osteoporosis among adult women aged 50 and over. It is shown that in certain circumstances, the techniques that we have developed require only one-third of the sample size needed in SRS to achieve the desired precision. This results in a considerable reduction in time and cost compared to the standard SRS method.

Hybrid strategy and its effect on the market performance of family-business SMEs: the mediating role of innovation

Purpose For this paper, the authors focus on Porter’s competitive advantage. Hybrid strategy refers to how a firm creates value vis-à-vis competitors by simultaneously relying on lower costs and greater differentiation to achieve a competitive advantage. This strategy emphasises both and aims to provide much more monetary value to customers through the combination of reduced cost and a higher rate of differentiation. In addition, this research focuses on family small and medium-sized enterprises (SMEs), because they have particularities arising from the incorporation of family members both as owners of the SME and in managerial positions. The porpose of this study is to analyse whether the existing differences produced by the role of the family in strategic decision-making and the concentration of family power have a higher impact on performance and innovation than non-family SMEs. Design/methodology/approach Structural equation modelling was used to analyse Spanish firms with fewer than 250 employees. This study randomly selected SMEs operating in Spain from the Spanish Central Business Directory (2021) database. The overall sample design was based on stratified sampling. Findings SMEs are facing new challenges, and this has led to the emergence of new competitive strategies. Companies have started to combine differentiation strategies with cost strategies to achieve superior performance and better adapt to these changes. This study confirms a positive relationship between the adoption of hybrid strategies and market performance in SMEs. In addition, hybrid strategy reinforces innovation, which has a mediating role between hybrid strategy and market performance. Finally, the findings indicate that family SMEs achieve a greater impact of hybrid strategy on innovation than non-family SMEs. Moreover, innovation plays a mediating role only in the case of family firms, which enhances the relationship between hybrid strategy and market performance. Originality/value For SMEs to survive in turbulent environments, this study proposes the adoption of hybrid strategies instead of pure strategies. The novel model links hybrid strategy (as opposed to “stuck in the middle”), innovation and market performance. The research is valuable for owners and managers of family SMEs because this study finds differences in the relationships studied compared to non-family SMEs.

Using a monotonic density ratio model to increase the power of the goodness-of-fit test for logistic regression models with case-control data.

Logistic regression models are widely used in case-control data analysis, and testing the goodness-of-fit of their parametric model assumption is a fundamental research problem. In this article, we propose to enhance the power of the goodness-of-fit test by exploiting a monotonic density ratio model, in which the ratio of case and control densities is assumed to be a monotone function. We show that such a monotonic density ratio model is naturally induced by the retrospective case-control sampling design under the alternative hypothesis. The pool-adjacent-violator algorithm is adapted to solve for the constrained nonparametric maximum likelihood estimator under the alternative hypothesis. By measuring the discrepancy between this estimator and the semiparametric maximum likelihood estimator under the null hypothesis, we develop a new Kolmogorov-Smirnov-type statistic to test the goodness-of-fit for logistic regression models with case-control data. A bootstrap resampling procedure is suggested to approximate the -value of the proposed test. Simulation results show that the type I error of the proposed test is well controlled and the power improvement is substantial in many cases. Three real data applications are also included for illustration.

Sampling data of macro-invertebrates collected in grasslands under restoration succession in a lowland stream-valley system.

Publication of data from past field studies on invertebrate populations is of high importance, as there is much added value for them to be used as baselines to study spatiotemporal population and community dynamics in these groups. Therefore, a dataset consisting of occurrence data on epigaeic invertebrates collected in 1996 was standardised into the Darwin core format and cross-checked in order to make it publicly available following FAIR data principles. With publication, it can contribute to the biodiversity assessment of terrestrial invertebrates, thereby improving the availability and accessibility of much-needed historical datasets on macro-invertebrates.Here, we present sampling event data on invertebrates from four grasslands taken out of agricultural production over the span of several decades, effectively displaying a chronosequence on the effects of agricultural extensification. The data were collected by means of a standardised sampling design using pyramid traps, pitfall traps and soil samples. The raw data presented in this data paper have not been published before. They consist of 20,000+ records of nearly 70,000 specimens from 121 taxonomic groups. The data were collected using a standardised field study set-up and specimens were identified by taxonomic specialists. Most groups were identified up to family level, with eight groups identified up to species level. The occurrence data are complemented by information on plant composition, meteorological data and soil physical characteristics. The dataset has been registered in the Global Biodiversity Information Facility (GBIF): http://doi.org/10.15468/7n499e.

Density matters: How population dynamics of house mice (Mus musculus) inform the epidemiology of Leptospira

Abstract Rodents are maintenance hosts of numerous pathogens, and both their density and the pathogen prevalence determine the risk they pose to other animals or humans. However, density is often overlooked. We investigated a capture‐mark‐recapture‐sampling strategy to study introduced mice (Mus musculus) and Leptospira as a model and demonstrate the advantages of a combined approach. We estimated population density and Leptospira prevalence in mice in a replicated longitudinal survey conducted between 2016 and 2018. Capture‐mark‐recapture sessions were undertaken at two sites in Spring and Autumn and blood and kidney samples were collected at the end of each session. Mouse density and areas of activity were estimated using spatially explicit capture–recapture (SECR) models and both were compared between Leptospira positive and negative mice. Leptospira exposure and shedding status were estimated using Microscopic Agglutination Test, and a combination of culture and lipL32 PCR on kidneys. Leptospira prevalence was higher in spring (83%–86%) than in autumn (31%–37%) and mouse densities simultaneously varied from 3.6 to 55.9/ha. However, despite these variations in prevalence and density, the density of infected animals remained relatively constant over time (3–8/ha). Shedding or being seropositive was also associated with the activity of mice. Shedding or seropositive mice had a larger activity area, and seropositive mice were trapped on average 1 day earlier than seronegative mice. Synthesis and applications: Our results show how understanding the population dynamics of pathogen‐carrying rodents is critical in epidemiology. The wider movement patterns and easier encounters of positive mice highlight the possibility of biases in classical prevalence surveys and have implications for disease transmission within and between species. Importantly, and quite counter‐intuitively, Leptospira prevalence was negatively associated with mouse density, resulting in a constant density of shedders that contradicts the conventional view of higher exposure risk at high rodent density. More broadly, such sampling designs can improve animal and disease control policies and better inform modelling studies by providing more parameter estimates than classical prevalence surveys.

The Effect Of Song Mnemonic On Students’ Vocabularymastery Of MTsN Tanjungbalai

The objective of this research to identify the faced by the seventh grade students’ at MTsN Tanjung Balai, to identify the causes of students' difficulties in improving vocabulary mastery of seventh grade students at MTsN Tanjung Balai in the 2023/2024 academic year. The population was 54 students and the researcher took a 2 class random sampling design, namely: control class and experimental class to carry out pre-test post-test. Material about describing something. In collecting data, researchers used tests to apply the song mnemonic method for several weeks and compared the pre-test and post-test to determine the effect of applying the song mnemonic method. Then the data obtained was analyzed through five stages, namely normality test, homogeneity test, hypothesis test, effect size test and statistical hypothesis. Finally the researcher found that it showed that the value of the T-test was 7.659 and the degree of freedom (df) was 54 (df-2;54-2=52). The value of T is significant 5% of T-table of db= 2.00. Therefore, the alternative hypothesis (Ha) is accepted and the null hypothesis (H0) is rejected. It can be concluded that the influence of using the song mnemonic method has an influence on increasing students' mastery of English vocabulary. So the suggestion is that teachers must be more creative in developing appropriate learning methods to be taught to support effective learning activities in the classroom.

Vibration Characteristics and Structural Optimization of Pipeline Intelligent Plugging Robot under Turbulent Flow Field Excitation

Pipeline maintenance technology based on pipeline intelligent plugging robot (PIPR) has become an effective method for failure accident prevention of high-pressure subsea oil and gas pipelines. However, during the plugging operation, the vortexes and pressure fluctuation are presented under turbulent flow field excitation, which may lead to vortex-induced vibration and failure of the plugging operation. Therefore, in order to ensure the reliability of pipeline plugging, the vibration characteristics are analyzed using numerical simulation, providing guidance on the structural optimization of PIPR’s end face. Firstly, the flow field characteristics under different PIPR’s end faces are investigated. Secondly, an experimental scheme is designed based on Latin Hypercube Sampling Design (LHSD) optimized by greedy strategy. A mathematical model of the end face’s parameters and pressure gradient is established using a back propagation (BP) neural network. Then, an improved whale optimization algorithm (IWOA) is proposed to optimize the end face’s parameters to minimize the pressure gradient of the flow field. Finally, the experimental study is performed to observe the turbulent flow field and pressure fluctuation to validate the optimization results. The results demonstrate that the PIPR’s end face has a great influence on the vortex-induced vibration response. After structural optimization, the average pressure gradient of the optimal PIPR’s end face has decreased by 84.69% and 54.55% before and after the plugging process, compared to the original end face. This study can provide a reference for pipeline plugging operations, which is significant for preventing pipeline failure accidents.

Assessing Etiologic Heterogeneity for Multinomial Outcome with Two-Phase Outcome-Dependent Sampling Design.

Etiologic heterogeneity occurs when distinct sets of events or exposures give rise to different subtypes of disease. Inference about subtype-specific exposure effects from two-phase outcome-dependent sampling data requires adjustment for both confounding and the sampling design. Common approaches to inference for these effects do not necessarily appropriately adjust for these sources of bias, or allow for formal comparisons of effects across different subtypes. Herein, using inverse probability weighting (IPW) to fit a multinomial model is shown to yield valid inference with this sampling design for subtype-specific exposure effects and contrasts thereof. The IPW approach is compared to common regression-based methods for assessing exposure effect heterogeneity using simulations. The methods are applied to estimate subtype-specific effects of various exposures on breast cancer risk in the Carolina Breast Cancer Study.

THE IMPACT OF E-SERVICE QUALITY AND PERCEIVED RISK ON TRUST IN BANKING SERVICES

The world of banking is still the driving force of the national economy today by channeling funds to third parties. To be able to win the competition, banks must be able to maintain the trust of their customers. The design of this research aims to determine the impact of e-service quality and perceived risk on trust in BRI Jember Branch. The population in this research is planned to be all customers of Bank BRI Jember Branch. The sample design was 75 respondents. The data analysis method is to use descriptive analysis. Validity tests and reliability tests are used to test research measuring instruments. Multiple linear regression analysis was used to test the research hypothesis. The results of this research are expected to show that e-service quality and perceived risk can increase customer trust in BRI Jember Branch.

Prefabricated Envelope Green Remodeling Potential of Public Office Buildings in Korea

The public sector should reduce energy consumption and carbon emissions from the building stock, thereby serving as a role model for the private sector. In Korea, public buildings are leading the green remodeling business initiative as part of a carbon-neutral strategy. Building envelope retrofitting is essential for the green remodeling of existing buildings because it significantly affects the buildings’ aesthetic appearance, occupant comfort, and energy usage. From the perspectives of constructability and cost, prefabricated envelope systems offer various advantages and can contribute to the growth of the green remodeling business. To develop an effective prefabricated envelope system, a thorough analysis of the existing building stock must be conducted. Therefore, this study aims to investigate existing public office buildings in Korea to obtain a better understanding of the considerations necessary for developing prefabricated envelope systems. The survey utilized the image search and road-view functions of map services, following an appropriate sample design. Based on the survey results, the characteristics of the building types and envelopes, as well as considerations for developing prefabricated envelope systems are discussed. Furthermore, this study quantitatively analyzed the energy conservation potential through building energy simulations.

Assessment of knowledge and practices regarding taeniasis and cysticercosis in Pak Chong, Nakhon Ratchasima, Thailand: A cross-sectional study.

Taeniasis and cysticercosis are parasitic infections caused by Taenia spp., mainly transmitted through the consumption of undercooked pork. Prevention requires increasing knowledge and awareness, improving meat inspection and hygiene, and promoting safe food handling and sanitation. The aim of this study was to evaluate the knowledge and practice (KP) of residents in Pak Chong District, Nakhon Ratchasima, Thailand, regarding taeniasis and cysticercosis. A cross-sectional study was conducted in Pak Chong District, Nakhon Ratchasima, Thailand, and its 11 subdistrict municipalities. Study participants were selected using a stratified random sampling design. A validated questionnaire (Cronbach's alpha = 0.70) was used to collect socio-demographic information and assess knowledge and practices related to taeniasis and cysticercosis. Descriptive statistics and multiple linear regression were used for the analysis. Of the 360 survey respondents, 65.0% (n = 234) were women, 82.2% (n = 296) were aged under 60 years, 99.2% (n = 357) identified as Buddhist, 87.5% (n = 315) had less than a bachelor's degree education level, 54.2% (n = 195) had monthly family income ≥10,000 Thai baht, 10.6% (n = 38) were unemployed, and 26.1% (n = 93) lived in a town municipality. The survey revealed that 98.3% (n = 354) of participants were categorized as having less accurate knowledge and 83.6% (n = 301) were classified as more frequently engaging in correct prevention practices. Our study revealed that pig farmers (1.7%) occasionally permitted the pigs to forage freely. The results of multiple linear regression analysis revealed that knowledge scores were positively associated with household income ≥10,000 Thai baht (βadj = 1.50, 95% confidence interval [CI] 0.65 to 2.36). Practice scores were negatively associated with age over 60 years (βadj = -1.77, 95% CI -3.14 to -0.40) and living in a subdistrict municipality (βadj = -2.58, 95% CI -3.77 to -1.39). There was no association between KP regarding taeniasis and cysticercosis in the population of Pak Chong. Overall, participants' knowledge was lacking. Public education interventions are recommended to improve knowledge among residents with low socioeconomic status. These findings can inform the development of targeted interventions and educational programs in Pak Chong District, especially among elderly people in subdistrict municipalities, to improve practices for the prevention and control of these parasitic infections.

Reduced seagrass resilience due to environmental and anthropogenic effects may lead to future die-off events in Florida Bay

Coastal systems often depend on foundation species such as seagrasses that are supported by self-facilitation. Seagrass meadows, however, are threatened worldwide due to climate change and local human impact, disrupting self-facilitation leading to system instability. Florida Bay is a large seagrass dominated coastal ecosystem that suffered from multiple seagrass mortality events over the last half century driven by hypoxia, high water temperatures, hypersalinity, and high biological oxygen demand. These conditions reduce the amount of photosynthetically-derived oxygen in the plant causing sulphide intrusion into meristematic tissues. Using a bay-wide sampling design and long-term monitoring trends of seagrass condition, we investigated the current state of the meadows, sediment characteristics (e.g., organic matter, sulphide, nutrients) and discuss how climate stressors interact with plant and sediment oxygen dynamics. Our survey revealed that at sites where seagrass had been previously denuded by die-off, the dominant seagrass Thalassia testudinum had not recovered, while the pioneering seagrass Halodule wrightii recolonized the impacted areas. Organic matter and sulphide levels were higher at the impacted sites, apparently a persistent characteristic of the formerly dense T. testudinum meadows in central and western Florida Bay. These sediment conditions promote sulphide intrusion of T. testudinum belowground tissue under anoxic conditions. Plant oxidation initially buffers sulphide intrusion, but disruption of this oxidation mechanism due to changing environmental conditions results in widespread mortality and seagrass community collapse. Climate change cannot be fully mitigated by local management, however, attempts can be made to control critical salinity and oxygen levels by increasing freshwater input, reducing hypersalinity and aiming to keep the internal seagrass oxidation feedback intact. Our study shows that the Florida Bay seagrass ecosystem is still recovering four years post die-off and continues to be susceptible to future climate change and system degradation.

The Prevalence of and Trend in Drug Use among Adolescents in Mississippi and the United States: Youth Risk Behavior Surveillance System (YRBSS) 2001-2021.

Mississippi youth are demographically unique compared to those of the nation. The aim of the study was to examine the drug use among adolescents in Mississippi compared to that in the US, which included determining prevalence and trends in drug use as well as drugs on school property and estimating the differences in drug use prevalence by gender and by race. National and Mississippi Youth Risk Behavior Surveillance System (YRBSS) data from 2001 to 2021 were obtained for analysis. Summary statistics, prevalence ratio, and survey Chi-squared tests of independence statistics were generated for the comparison for all students, and by gender and race separately. Trend analysis was conducted using logistic regression combined with joinpoint regression. The six survey questions being studied were the following: have you ever used marijuana, an inhalant, heroin, methamphetamines, or injected drugs, and were you offered, sold, or given an illegal drug on school property during the last 12 months. Survey packages in R were used to account for the complex sampling design of YRBSS data. On the national level, all six drug-related risk behaviors being studied showed a significant decrease from 2001 to 2021. In Mississippi, however, only "ever used marijuana" showed a decrease trend, while three remain unchanged, and two increased. The 2021 YRBSS data show that Mississippi adolescents exhibited a significantly higher prevalence of drug use, and are more likely to be offered, sold or given an illegal drug on school property. This research showed detailed findings on drug use-related issues in Mississippi, which is alarming. This poses an important challenge for public health in Mississippi and sounds an urgent call for drug use intervention among Mississippi adolescents. More concerted actions at the community, school and government level are needed for reducing youth drug use and controlling the drug traffic on school property.

Analysis of human and wildlife coexistence in national parks; the case study of okomu and cross river national parks, Nigeria

Human-wildlife conflicts occur in areas where frequent interactions exist between man and wildlife, leading to conflicts. This study undertook a critical analysis of human and wildlife co-existence between two National Parks in Nigeria. Surveys conducted with eight communities shed light on conflicts and how to improve human-wildlife co-existence based on the following criteria: benefit accrued to the community and compensation. A survey was conducted in eight communities to examine the level of conflicts between the communities and wildlife in the area and how to improve human wildlife co-existence based on the adoption of benefit sharing and compensation for crop damage in the management of the two parks. A multistage sampling technique was employed, including a purposive sampling design used to select the communities and a simple random sampling technique used to determine households to participate in the survey. Data was collected from households in communities adjacent to Cross River National Park (n = 203) Okomu National Park (n = 198). The results indicate that to improve co-existence with wildlife, The findings of the research recommend more focus on local social and economic benefits, wildlife compensation, and special attention to reducing conflicts through mitigation strategies.

Diabetes Mellitus Inequality in South Korean Adults by Region: The Influence of Obesity and Depression.

Diabetes mellitus (DM) has different prevalence by region. This study aimed to identify the differences in the effects of obesity and depression on DM in South Korean adults by region. The participants were 14,343 adults (≥30 yr) from Ulsan (regions with the lowest prevalence of DM) and Jeonbuk (regions with the highest prevalence of DM), and data were extracted from the Community Health Survey 2019. We applied a complex sampling design analysis to reflect the stratified, clustering and weights. The data were analyzed using the unweighted frequencies, weighted percentage, mean, standard error, Chi-Square test and multiple logistic regression analysis (SPSS 25.0). Regarding the main result for Ulsan, the odds ratio of DM increased by 1.94, 2.52,1.57, and 4.87 times for obesity(25-29.9kg/m2), high obesity(≥30kg/m2), depression, and receipt of psychological counseling for depression, respectively. In Jeonbuk, the odds ratio of DM increased by 1.79, 2.84, and 3.59 times for obesity, high obesity, and unmet medical experience, respectively. On the other hand, depression-related variables were found to not influence DM. We provided the rationale for conducting a health project that interventions for obesity and depression should be included in DM management programs differently in Ulsan and Jeonbuk regions.

Assessment of Adolescents in Child-to-Parent Violence: Invariance, Prevalence, and Reasons.

This study first aimed to analyze the psychometric validity of the Child-to-Parent Violence Questionnaire (CPV-Q) among Ecuadorian adolescents. Second, the measurement invariance across the children's sex was examined. Finally, the prevalence of child-to-parent violence (CPV) was also determined. A total of 2084 adolescents aged 12 to 18 years participated in this study. The participants were residents of two provinces in southern Ecuador. A higher percentage of participants were women. They lived mostly with their father and mother. The married marital status of the parents was the most frequently reported. Most of the fathers and mothers of the participants completed primary education. The sampling design was probabilistic, with proportional allocation by age and quotas according to the number of inhabitants per province. The sample size was determined by using a finite population formula. All the participants were randomly selected. The CPV-Q was used to assess child-to-parent violence. The items were adapted linguistically and tailored to the Ecuadorian context. The questionnaire demonstrated excellent model fit and adequate reliability. Full measurement invariance was held for all scales except for the reasons subscale pertaining to fathers. Statistically significant differences were observed with respect to the sex of the aggressor, with control/domain behaviors toward both parents and psychological violence toward the mother being more frequent among daughters than sons. Similarly, reactive reasons were more frequent among daughters than sons. This study provides significant psychometric evidence on the CPV-Q in Ecuadorian adolescents along with data on the prevalence of violence against parents.

Health Care Expenditures and Use Associated with Hypertension Among U.S. Adults

IntroductionThis study seeks to estimate health care expenditures and use associated with hypertension, focusing on differences among racial and ethnic groups. MethodsData were from the 2019 Medical Expenditure Panel Survey, analyzed in 2023. The study sample included noninstitutionalized U.S. adults aged ≥18 years. Outcome variables were health care expenditures and events. Hypertension was determined by a self-reported diagnosis or diagnoses codes. Race and ethnicity were self-reported. A 2-part model was used to estimate expenditures associated with hypertension. A zero-inflated negative binomial model was used to estimate events associated with hypertension. Sampling designs were applied to generate nationally representative estimates. ResultsHypertension was associated with $2,759 (95% confidence interval [CI]: $2,039, $3,479) in health care expenditures and 10.3 (95% CI: 9.3, 11.3) health care events, including prescriptions filled, in 2019 per person. Compared with non-Hispanic White adults, hypertension-associated health care expenditures were significantly lower among Hispanic adults (difference: -$1,877; 95% CI: -$3,389, -$364) and Asian adults (difference: -$2,452; 95% CI: -$4,093, -$811), and hypertension-associated health care events were significantly lower among Hispanic adults (difference: -3.8; 95% CI: -6.1, -1.6) and non-Hispanic Asian adults (difference: -4.1; 95% CI: -6.9, -1.2). Differences between non-Hispanic White adults and non-Hispanic Black adults were not statistically significant in health care expenditures (difference: -$954; 95% CI: -$2,849, $941) and events (difference: 0.3; 95% CI: -2.1, 2.8). ConclusionsThis study reveals differences in health care expenditures and use associated with hypertension among racial and ethnic groups. Future studies are needed to examine potential drivers of these differences.

An Optimal Radiation Shield Design of a Small Modular Nuclear Power Reactor by Genetic Algorithm

One of the critical concerns in developing small modular nuclear reactors (SMRs) is employing efficient radiation shielding consistent with the design and implementation requirements. Besides observing the radiation shielding requirements, the design process entails developing compact, lightweight shielding as well as ensuring the safety of the staff and radiation-sensitive equipment around the reactor under different operating conditions. Conventional methods of radiation shielding design are based on experiments conducted. Therefore, the resultant design involves trial and error, rarely achieving an optimal, effective, and efficient design. In this study, a multi-objective method based on the genetic algorithm coupled with the MNCP calculation code has been used to enhance the radiation shielding system of a SMR. Using this method, the thickness of different shielding layers has been optimized to minimize the total dose (neutrons and gamma) at the output, the weight, and the overall volume of the shielding. To assess and compare the method used to an implemented conventional method, a sample design of the MRX nuclear power reactor is considered. Using the optimization technique, the radiation shielding of the reactor has been redesigned and compared with the original design. This paper discusses the existing deficiencies in the initial design of the primary shield of the reactor as a design implemented based on conventional methods. Similar to the original design, the main materials considered for radiation shielding in consecutive layers were water and steel, and the final layer contained lead. The thickness of the different layers and their arrangements have been optimized to assess the upgraded method. The calculations indicate that the overall thickness of the proposed shielding is suggested as 93.8 cm compared to 140 cm to obtain the total dose of neutrons and gammas, which is suggested as less than 10 µSv/h. The results imply a 38.56% reduction in volume and a 17.24% reduction in weight of the radiation shielding compared to the reference reactor design.