Negative Binomial Regression Analysis Research Articles

Is news consumption related to abortion attitudes? An exploratory study with a nationally representative sample of US adults

The news is an efficient way to share information and plays an important role in shaping and reflecting cultural values and norms. However, research examining news consumption and abortion attitudes is limited. In this exploratory study, we analyzed data from a nationally representative sample of 886 US adults to assess whether self-reported frequency of news consumption—by news format (e.g., television, radio, newspaper, social media), news leaning (i.e., liberal, neutral, conservative), and total sum (i.e., total amount of consumption across leanings)—predicted abortion attitudes and complexity in attitudes. We conducted Poisson and negative binomial regression analyses controlling for demographic variables. We found that gender, political affiliation, Bible literalism, educational attainment, and abortion identity were significant predictors. While we did not observe a relationship between news format and abortion attitudes, we did find that the associations between news leaning and the total sum of news consumed varied across abortion identity. Our findings suggest that attitudes toward abortion may be differentially influenced by partisan news across abortion identity. After Dobbs v. Jackson, there is a need for advocates to tailor strategies to different sub-groups, promote media literacy, and encourage the use of diverse and balanced news sources to foster more informed views on abortion.

State Divorce Laws, Reproductive Care Policies, and Pregnancy-Associated Homicide Rates, 2018-2021

Barriers to divorce and reproductive health care can threaten the health and safety of pregnant and recently pregnant females. To examine state laws about divorce, reproductive health care (access to contraception, family planning services, and abortion), and pregnancy-associated homicide rates in US states over a 4-year period (2018-2021). In this cross-sectional study, bivariate tests and regressions were used to analyze crude rates of pregnancy-associated homicide from the National Violent Death Reporting System in 181 state-years for calendar years 2018 to 2021, with analyses conducted on September 8, 2024. Access to divorce while pregnant and reproductive health care over a 4-year period in the US. Primary outcomes (pregnancy-associated homicide by intimate partners vs non-intimate partners and rates among younger Black, Hispanic, and White females) were assessed using the National Violent Death Reporting System. Negative binomial regression was used to test 2 hypotheses: access to divorce while pregnant and reproductive health care are associated with pregnancy-associated homicide rates. Individual level data, including exact sample size, were not available in this study of state-level homicide rates. Negative binomial regression analysis showed that, where finalizing divorce during pregnancy is prohibited, intimate partner homicide rates (incidence rate ratio [IRR], 2.11; 95% CI, 1.09-4.08; P = .03) and rates among younger (age 10-24 years) White females (IRR, 2.39; 95% CI, 1.12-5.09; P = .02) were significantly higher. In state-years with greater access to reproductive health care, rates were significantly lower for non-intimate partner homicide (IRR, 0.92; 95% CI, 0.87-0.98; P = .01) and for younger Black females (IRR, 0.91; 95% CI, 0.87-0.96; P < .001) and younger Hispanic females (IRR, 0.87; 95% CI, 0.79-0.96; P = .007). In this cross-sectional study of pregnancy-associated homicide rates, barriers to divorce were associated with higher homicide rates and access to reproductive health care was associated with lower homicide rates. This study highlights the association between state legislation and pregnancy-associated homicide in the US, which is important information for policymakers.

What drives global value chains of FDI at sub-national regions? Roles of agglomeration economies

ABSTRACT This study explores the intricate relationship between Foreign Direct Investment (FDI) and spatial knowledge within the European Union (EU) subnational regions. While existing research has examined this relationship, it often oversimplifies the complexities involved. This study aims to fill this gap by dissecting various types of inward FDI based on sectors, investor origins, and spatial knowledge forms. Using extensive data spanning over 13 years, the study employs negative binomial regression analysis to investigate 223 EU subnational regions. The findings reveal that localized specialization, urbanization, and population density play significant roles in attracting FDI, particularly in manufacturing and logistics. Conversely, capital cities tend to deter manufacturing-related FDI due to resource constraints. Moreover, the study identifies the importance of agglomeration economies, measured by urbanization, in driving FDI across different models given the knowledge spillovers and technological externalities found in densely populated areas. In light of these findings, tailored policies that account for diverse factors – such as regional agglomeration economies and strategic value chain activities – are essential. Recognizing the complexity of multinational business activities is crucial for designing effective policies aimed at reducing regional disparities within the EU.

Methodological framework for early detection of dengue outbreaks in Tanzania

Abstract Background Dengue fever is a major public health problem because it is a widespread and rapidly transmitted mosquito-borne viral disease. We developed a framework for early detection of dengue outbreaks in Tanzania, starting with detection of suspected and/or confirmed cases, followed by site-specific risk characterization, both useful for planning and prioritizing outbreak interventions or epidemic preparedness. Methods Our initial focus was on the identification and categorization of indicators that are specifically tailored to the early detection and classification of outbreak events. The framework was then evaluated using (i) available cases with syndromic and laboratory-confirmed disease information from ProMED emails using decision tree analysis, and (ii) available historical dengue epidemic data at the local level from 2019 with 6,795 confirmed cases using negative binomial regression analysis adjusted for month and area. Results The laboratory-confirmed diagnosis (dengue yes or no) was consistent with the results of the suspected case classification algorithm for clinically defined syndromic cases. There was strong evidence of an increase in dengue cases with higher site-specific risk (rate ratio = 2.51 (95% CI = [1.76, 3.58])) when regressing confirmed dengue cases in 2019 as the dependent variable and site-specific risk as the independent variable. Conclusions The rapid dengue outbreak risk assessment developed may be useful in controlling the epidemic in Tanzania. The suspected case classification algorithm can be a very useful tool to better assess whether a potential dengue case is present and thus requires laboratory confirmation. The framework can be used to rapidly predict the risk of dengue outbreaks, which is useful for planning and prioritizing interventions or for epidemic preparedness. Key messages • Framework for a novel rapid risk assessment for early detection of dengue outbreaks in Tanzania. • Framework relevant to epidemic preparedness.

Deprivation and stroke incidence, treatment and mortality in Germany

Abstract Background Previous research suggests that regional deprivation significantly influences the risk of stroke. However, little is known about regional differences in stroke incidence and mortality within Germany. Methods We utilized data from the Diagnosis Related Groups statistics (2016-2019) and the German Federal Register of Physicians (2019). We used negative binomial regression analysis to investigate the relationship between the German Index of Multiple Deprivation 2015, covering 401 districts and district-free cities in Germany, and stroke incidence, treatment, and mortality. Results The adjusted rate ratios of stroke incidence and mortality with the highest deprivation level compared with the least deprived area were 1.16 (95% CI [1.14, 1.17]) and 1.19 (95% CI [1.14, 1.23]), respectively. Furthermore, this study showed that the density of physicians was higher in district-free cities than in districts. Conclusions The findings document a relationship between regional deprivation and stroke incidence and mortality, and call for a more targeted approach to stroke prevention in deprived regions. Key messages • Regional deprivation in Germany linked to increased stroke incidence and mortality rates. • Policy action needed for effective prevention measures.

Drinking firsts at home and with parental knowledge: Racial/ethnic differences in associations with later alcohol outcomes among underage youth.

Prior research has shown that early alcohol experiences, such as age of initiation and speed of progression between drinking milestones, vary across racial/ethnic groups. To inform culturally tailored prevention efforts, this longitudinal study examined racial/ethnic differences in the associations of drinking firsts at home and with parental knowledge with alcohol use outcomes among underage youth. The study included baseline and five follow-up surveys, collected every 6 months, from California adolescents (ages 12-16 years at baseline). The analytic sample was composed of the 689 adolescents who reported lifetime alcohol use at baseline or a follow-up survey (5% Black, 37% Latinx, 46% White, and 12% other/mixed racial/ethnic group; 54% female). Participants who reported consumption of a full drink, intoxication, or heavy episodic drinking (HED) were asked ages and contexts of these drinking firsts, including whether the initiation was at their own home and whether their parents/guardians knew about this drinking event. Outcomes included past-6-month alcohol frequency, alcohol quantity, and number of alcohol-related problems. Multilevel negative binomial regression analyses were conducted, controlling for demographics and age of initiation by type of drinking behavior. Moderation analyses examined racial/ethnic differences. For consumption of the first full drink, both drinking at home and parental knowledge were negatively associated with all outcomes; associations did not vary by race/ethnicity. First intoxication at own home was negatively associated with the number of drinks for Latinx youth and with the number of problems for Black youth. For first HED, drinking at own home was positively associated with drinking frequency across groups, and for Black youth specifically, parental knowledge of their first HED experience was significantly associated with greater later alcohol frequency and quantity. Results suggest that the association of family contexts of drinking first with later alcohol outcomes among underage youth varied by stage of alcohol use and race/ethnicity.

Associations between taxi drivers' aggressive driving behavior and sleep, cognition, and psychological factors in Korea: negative binomial regression analysis.

Aggressive driving behavior is a significant predictor of traffic accidents. In particular, the driving behavior of taxi drivers is a critical issue that can impact the safety of both drivers and passengers. This study explored the sleep, cognitive, and psychological factors associated with taxi drivers' aggressive driving behavior. In this descriptive study, a self-report questionnaire was distributed to taxi drivers in Seoul and Gyeonggi Province from August 22, 2022 to December 30, 2022. In all, 992 respondents were analyzed using negative binomial regression. The mean score for aggressive driving behavior among taxi drivers was 13.76±11.47, with sub-scores of 3.46±3.48 for lapse, 3.31±3.16 for error, and 6.99±5.76 for violation. Contributing factors included sleep disorders, cognitive decline, and psychological factors. A higher score for aggressive driving behavior was associated with an increased severity of insomnia and daytime sleepiness, higher rates of cognitive failure, and elevated levels of depression and stress. Our findings highlight the importance of addressing the sleep, cognitive, and psychological factors associated with aggressive driving behaviors among taxi drivers. Further study is needed to evaluate the causal relationship. In addition, it is imperative to develop educational programs and interventions to manage these issues effectively.

Comparing results of midline catheter and peripherally inserted central catheter in cancer patients under chemotherapy.

Peripherally inserted central catheters (PICC), and peripherally inserted midlines (MC) represent a possible less invasive alternative option to totally implantable vascular access devices (TIVAD) in cancer patients. This study aims to investigate the outcomes of PICC, and MC devices in patients undergoing chemotherapy. A prospective non-concurrent observational study was conducted at the IRCCS Ospedale Policlinico San Martino, Genova (Italy) on 559 cancer patients candidate to chemotherapy bearing PICC, and MC during the period 2019-2022. The primary endpoint was the comparative analysis for failure of the different types of peripheral insertion accesses requiring removal. Secondary outcome measures were age at diagnosis, gender, period of diagnosis, cancer site and type of chemotherapy. The negative binomial regression analysis was applied to estimate catheter removal rate ratios (RR), along with 95% confidence limits (95% CL), in each category of the risk factors. The median follow-up time was 2.6 months (IQR = 1.4-4.6; min-max = 0.03-12.7), and at the end of the study period, a total of 45 catheter failures were detected. A risk reduction of approximately 75% (RR = 0.24; 95% CL = 0.11-0.51) was emphasized for patients with PICC when compared with those with MLC. Type of chemotherapy and cancer site appeared to be important predictive factors for catheter removal risk. For cancer patients undergoing chemotherapy by a non TIVAD, PICC must be preferred to MC because of higher safety and efficacy.

Factors affecting the performance of government R&amp;D support programs in pharmaceutical enterprises

Purpose The government support for research and development (R&amp;D) initiatives in the pharmaceutical sector has been declining. The purpose of this study is to analyze factors influencing the efficacy of government R&amp;D support programs directed at pharmaceutical enterprises in South Korea, aiming to provide valuable insights for policymakers responsible for resource allocation in the pharmaceutical industry. Design/methodology/approach The study uses data from 490 R&amp;D projects conducted by 106 pharmaceutical enterprises between 2018 and 2020, sourced from the National Technical Information Service and Drug Approval Research and Technology repositories. The data were analyzed using negative binomial regression analysis operated by the Statistical Package for the Social Sciences. Findings Applied research, cooperative research and the number of doctoral researchers positively impact both the quantitative and qualitative performance of the papers. The number of doctoral researchers, government research funds and the ratio of private investment to total R&amp;D investment positively impacted the quantitative and qualitative performance of patents. However, enterprise age negatively affected patent performance. Notably, sales were significantly associated with patent qualitative performance but not with patent quantitative performance. Originality/value While previous studies have primarily focused on specific types of government R&amp;D support or individual sectors, this study provides a broader perspective by incorporating a variety of variables, to examine the overall performance of government R&amp;D programs in the pharmaceutical sector. This paper addresses the growing concern over declining government support and offers insights that were not fully explored in prior studies. By doing so, this research highlights the importance of understanding how diverse factors collectively influence the effectiveness of government R&amp;D support, providing new directions for innovation and excellence in the pharmaceutical industry.

Evaluating the Crash Risk and Traffic Offenses of Motorized Two-Wheelers: A Study Specific to Food Delivery Riders

Food delivery riders (FDRs) rely on motorized two-wheelers that are innately unstable, resulting in safety risks. FDRs perform several traffic violations because of delivery time restrictions that result in concern for road safety. In this study, the available Motorcycle Rider Behavior Questionnaire (MRBQ) is modified by considering the opinion of focus groups, to study the riding behavior of FDRs using a sample of 431 participants. Exploratory factor analysis revealed a five-factor solution loaded with 31 items. This research emphasizes that the risky behavior of FDRs is influenced by surrounding traffic and the road environment, in addition to their individual riding behavior. The self-reported crash, near crash, and traffic offenses data of FDRs showed a higher variance when compared with the mean (i.e., over-dispersed). Therefore, the relationship between the target variables—crash in past year, near crash in past year, and penalized traffic offenses in past year—and MRBQ factor scores were established using negative binomial regression analysis. Negative binomial regression analysis shows that the surrounding traffic factor has the highest incidence rate ratio, proving it to be the most significant predictor of crash risk for FDRs in addition to their own aberrant riding behavior. Based on this research, the enforcement of road safety policies can be effective in reducing aberrant riding behavior performed by FDRs such as traffic violation. The risky driving behavior of surrounding traffic can be properly dealt with by imposing hefty penalties and strict enforcement measures, and by spreading awareness.

Openness influences business model innovation: the mediating role of digital capability

PurposeExploring open value, cultivating digital capability (DC) and driving business model innovation (BMI) have become an inevitable choice for enterprises to meet market demand and adapt to environmental changes. However, as one of the situational variables of BMI, the positive or negative influence of openness has not been proved and the path mechanism between DC and BMI is not clear. Based on the dynamic capability theory, this paper takes manufacturing enterprises as an example to explore the internal impact mechanisms of organizational openness on BMI. It extends the analysis by introducing DC as a mediating variable and introducing manufacturing enterprise type (high-tech and non-high-tech) as a moderating variable.Design/methodology/approachA questionnaire survey was conducted using data collected in China, data from 355 manufacturing enterprises were collected to carry out empirical research. Participants were mainly middle and senior managers with a comprehensive grasp of their firms’ information. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to test the reliability and validity of the sample data, and negative binomial regression analysis was used to test hypothesis relationships.FindingsThe authors find an inverted U-shaped relationship between openness and BMI, and explain that excessive openness may lead to low resource utilization, organizational inertia, cooperation distrust, which will have a negative impact on BMI. DC includes digital resource capability (DRC), digital management capability (DMC) and digital collaboration capability (DCC), which promote BMI and play a mediating role between openness and BMI. Enterprise type has a moderating effect on the relationship between DC and BMI.Research limitations/implicationsThe results of this paper summarize the opportunities and threats of open innovation, help enterprises fully understand the double-edged sword impact of openness, guide manufacturing enterprises to be sensitive to openness and achieve sustainable innovation. By analyzing the path of DRC, DMC and DCC to BMI, managers can improve their understanding of digital-driven value creation process and improve the competitive advantage of enterprises.Originality/valueThis paper presents the relationships among openness, DC and BMI. We find the non-linear effects of openness on DC and BMI, bridging the inconsistent view of positive or negative relationship between openness and organizational change in previous studies. The introduction of DC extends the theory of dynamic capability in the digital age, and opens the “black box” from opening to BMI from the process perspective of DRC, DMC and DCC. From the perspective of enterprise type, this paper provides different choices of capability upgrading and strategic innovation based on openness for high-tech and non-high-tech manufacturing enterprises.

How does regional cooperation affect green total factor productivity?—Evidence from the Guangdong-Hong Kong-Macao Greater Bay area in China

As a key regional development strategy, regional cooperation affects the sustainable development of city-regions. This study uses social network analysis, spatial analysis, and negative binomial regression analysis to investigate the impacts of regional cooperation on green total factor productivity (GTFP) in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The main findings are as follows. First, regional cooperation is growing closer, unfolding a trend of networked and polycentric development patterns in the GBA. Second, the GTFP of most cities exhibits an upward trend, indicating a continuous improvement in green economic development in the GBA. Third, different types of regional cooperation have heterogeneous impacts on GTFP, with economic cooperation being essential for regional GTFP. Overall, this study provides a systematic and comprehensive analysis of the environmental effects of regional cooperation.

Change in the collision avoidance performance of autonomous emergency braking systems

Objective This study quantifies the change in collision avoidance performance of autonomous emergency braking (AEB) systems for traffic accidents in Japan since 2015. Method This study used data on Japanese traffic accidents compiled by Japan’s National Police Agency. The data included only accidents involving loss of or injury to human life; accidents involving only property damage were excluded. We restricted our analysis to collisions between two 4-wheel vehicles and considered only collisions for which we could determine whether the primary party’s car was equipped with an AEB system. Both Poisson and negative binomial mixed-effects regression analyses were conducted using the data for 2021 and 2022 to measure the collision avoidance performance of first registered cars in 2015 to 2020 equipped with AEB systems compared with cars without AEB systems first registered in 2015. Collision avoidance performance was measured for 2 types of intervehicle collisions: rear-end collisions and right-turn collisions. Collision avoidance performance for rear-end collisions was also measured for each of the 3 car types—Standard, small, and light cars. Results The collision reduction rate for rear-end collisions increases with the year of first registration and for cars equipped with AEB systems first registered in 2020 compared with non-AEB-equipped cars first registered in 2015 is 69.2% (95% confidence interval [CI] 67.0%–71.1%), indicating that the performance of AEB systems has dramatically improved in terms of preventing rear-end collisions. For right-turn collisions, the rate increased to 20.4% (95% CI 5.9%–32.6%) for cars equipped with AEB systems first registered in 2019. However, no clear trend is observed. Conclusions This study evaluated a time series of the collision reduction performance of AEB systems using an original methodology. Japan’s New Car Assessment Program (JNCAP) has included AEB’s effectiveness in reducing damage from traffic collisions as an evaluation item since FY2014. The results could demonstrate the effectiveness of JNCAP.

Association between Dental Fear and Children's Oral Health-Related Quality of Life.

This study aimed to examine the association between both parental dental fear and children's dental fear and its impact on the Oral Health-Related Quality of Life (OHRQoL) of Saudi children in the Eastern Province of Saudi Arabia. Data on 93 individuals aged 7-12 years were collected using clinical examination and Arabic-validated questionnaires: the Child Oral Health Impact Profile-Short Form (COHIP-SF19), and the Children's Fear Survey Schedule-Dental Subscale (CFSS-DS). Negative binomial regression analysis was performed to study the association between children's fear and parental dental fear as well as the OHRQoL, while adjusting for certain confounders. Overall, our multivariate analyses showed that children with high dental fear (CFSS-DS ≥ 38, p = 0.027) and a higher percentage of dental caries (p = 0.013) had a significantly lower OHRQoL after adjusting for clinical and socio-demographic factors. Further, parental fear of dentists was significantly associated with children's fear of dentists (p < 0.001). Our findings demonstrate that children's fear and dental caries are both associated with poorer OHRQoL. Further, parental dental fear about dentists was associated with children's fear of dentists.

Health Warnings on Instagram Advertisements for Synthetic Nicotine E-Cigarettes and Engagement

Synthetic nicotine is increasingly used in e-cigarette liquids along with flavors to appeal to youths. Regulatory loopholes have allowed tobacco manufacturers to use social media to target youths. To analyze the extent to which synthetic nicotine e-cigarette brands have implemented US Food and Drug Administration (FDA) health warning requirements and to evaluate the association between health warnings and user engagement on Instagram. In this cross-sectional study, posts from 25 brands were analyzed across a 14-month period (August 2021 to October 2022). A content analysis was paired with Warning Label Multi-Layer Image Identification, a computer vision algorithm designed to detect the presence of health warnings and whether the detected health warning complied with FDA guidelines by (1) appearing on the upper portion of the advertisement and (2) occupying at least 20% of the advertisement's area. Data analysis was performed from March to June 2024. Synthetic nicotine e-cigarette advertisement on Instagram. The outcome variables were user engagement (number of likes and comments). Negative binomial regression analyses were used to evaluate the association between the presence and characteristics of health warnings and user engagement. Of a total of 2071 posts, only 263 (13%) complied with both FDA health warning requirements. Among 924 posts with health warnings, 732 (79%) displayed warnings in the upper image portion, and 270 (29%) had a warning covering at least 20% of the pixel area. Posts with warnings received fewer comments than posts without warnings (mean [SD], 1.8 [2.5] vs 5.4 [11.7] comments; adjusted incident rate ratio [aIRR], 0.70; 95% CI, 0.57-0.86; P < .001). For posts containing warnings, a larger percentage of the warning label's pixel area was associated with fewer comments (aIRR, 0.96; 95% CI, 0.93-0.99; P = .003). Flavored posts with health warnings placed in the upper image portion received more likes than posts with warnings in the lower portion (mean [SD], 34.6 [35.2] vs 19.9 [19.2] likes; aIRR, 1.48; 95% CI, 1.07-2.06; P = .02). In this cross-sectional study of synthetic nicotine brand Instagram accounts, 87% of sampled posts did not adhere to FDA health warning requirements in tobacco promotions. Enforcement of FDA compliant health warnings on social media may reduce youth engagement with tobacco marketing.

Is using inhaled corticosteroid effective against COVID-19 pneumonia severity and mortality?

It is known that the use of inhaled corticosteroids increases the incidence of pneumonia in patients followed up with the diagnosis of chronic asthma and chronic obstructive pulmonary disease (COPD). This study aimed to investigate the contribution of inhaled steroid use to pneumonia severity and mortality in cases with COVID-19 pneumonia. The study is a retrospective, observational study. Among the cases admitted to the pandemic clinic, patients diagnosed with COVID-19 pneumonia were included. The plan was to compare cases who received and did not receive inhaled corticosteroids in terms of pneumonia severity and mortality. In order to define risk factors for mortality, univariate and multivariable negative binomial regression analyses were performed. In our study, it was observed that n= 540 (75%) cases did not receive inhaled corticosteroids (group 1), and 180 (25%) cases used inhaled corti costeroids (group 2). Group 1 and group 2 cases were compared in terms of pneumonia severity with no significant difference between the two groups (p= 0.11). Then, risk factors affecting mortality in all cases were examined with univariate analyses. Increasing age, applying mechanical ventilation, having severe pneumonia, having interstitial lung disease, and applying prone position were found to be statistically significant factors in mortality (p < 0.05). In conclusion, in our study, it was observed that the use of inhaled corticosteroids did not increase the severity of pneumonia and mortality. It was thought that the treatment they received could be continued when the patients treated with inhaled corticosteroids due to asthma and COPD had COVID-19 pneumonia.

Using Twitter to fight the COVID-19 pandemic: the case of United States governors

ABSTRACT This study explores how United States governors used Twitter in non-political contexts during the pandemic. We analysed the content and volume of governors’ tweets during the pandemic using semantic network analysis and applied negative binomial regression analysis to identify the variables influencing their Twitter use. No content differences were found among the governors during the pandemic, regardless of party affiliations. Factors such as election wins and competition levels were significantly correlated with tweet volume. Governors prioritize political motives such as reelection over party affiliation on Twitter, using it strategically for political goals and increasing engagement during times of heightened public attention, such as COVID-19.

Differences in the technical performance of heading between men and women football players during FIFA World Cup 2022 and FIFA Women’s World Cup 2023 matches

ObjectivesTo compare the incidence of headers, attempted headers, and other head impacts, and the difference in heading descriptors, including technical performance, between men and women in a purposive sample of...

Is women's empowerment enough for intimate partner violence in Muslim‐majority nations?

AbstractObjectiveThis study investigates the roles of women's empowerment through employment and decision‐making power on the association between intimate partner violence (IPV) and gender traditionalism in Muslim‐majority nations.BackgroundWomen empowerment and gender ideology perspectives argue that women's resources or egalitarian ideology decrease the IPV that women experience. Many studies, in various nations, found backlash effects where women were exposed to more IPV.MethodUsing Demographic and Health Surveys of Afghanistan 2015 (N = 19,862), Egypt 2014 (N = 6,283), Pakistan 2017–2018 (N = 3,167), and Tajikistan 2017 (N = 4,864) and negative binomial regression analyses, we examined the effects of married women's empowerment on IPV (emotional, physical, sexual, and husbands' controlling behaviors [HCB]).ResultsOverall, we found that women's gender traditionalism increased IPV in all nations. Women's empowerment, however, decreased the total IPV associated with gender traditionalism in four nations, but women's employment increased the total IPV in Egypt.ConclusionsWe conclude that total IPV and HCB are related to gender traditionalism, but they depend on women's empowerment in some Muslim‐majority nations.ImplicationsGovernments might consider making policies that would increase women's knowledge on gender equity and working women's rights, such as including gender quotas in workplaces to empower women. This could lead to a long‐term decrease in attitudes that tolerate IPV.

Longitudinal associations between beta-endorphin, nonsuicidal self-injury and comorbid psychopathology

Homeostasis models posit that nonsuicidal self-injury (NSSI) serves, in part, to upregulate the endogenous opioid system in order to compensate for an opioid deficiency. A few studies have demonstrated lower basal levels of beta-endorphin (BE), an endogenous opioid, in individuals with NSSI. However, longitudinal studies are missing. Hence, the present study aimed to investigate the longitudinal associations between NSSI, comorbid psychopathology (i.e., borderline personality disorder and depressive symptoms), pain sensitivity and basal BE levels in adolescents with NSSI. N = 53 adolescents with NSSI disorder undergoing specialized treatment participated in baseline and one-year follow-up assessments. BE was measured in plasma; pain sensitivity was assessed with a heat pain stimulation paradigm. Associations between BE and change in NSSI, borderline personality disorder and depressive symptoms as well as pain sensitivity were examined using negative binomial and linear regression analyses. We found that an increase in basal BE was significantly associated with a decrease in depressive symptoms. No associations between BE and NSSI, borderline personality disorder symptoms or pain sensitivity were observed. Our findings may confirm a role of plasma BE in the etiology of depressive symptoms but challenge current models of endogenous opioid homeostasis in NSSI.