Greater prosociality toward other human drivers than autonomous vehicles: Human drivers' discriminatory behavior in mixed traffic.

The development of autonomous vehicles (AVs) has rapidly evolved in recent years, aiming to gradually replace humans in driving tasks. However, road traffic is a complex environment involving numerous social interactions. As new road users, AVs may encounter different interactive situations from those of human drivers. This study therefore investigates whether human drivers show distinct degrees of prosociality toward AVs or other human drivers and whether AV behavioral patterns exert a relevant influence. Sixty-two drivers participated in the driving simulation experiment and interacted with other human drivers and different kinds of AVs (conservative, human-like, aggressive). The results show that human drivers are more willing to yield to other human drivers than to all kinds of AVs. Their braking reaction time is longer when yielding to AVs and their distance to AVs is shorter when choosing not to yield. AVs of different behavioral patterns do not significantly differ in yielding rate, but the braking reaction time of human-like AVs is longer than conservative AVs and shorter than aggressive AVs. These findings suggest that human drivers show more prosocial behaviors toward other human drivers than toward AVs. And human drivers' yielding behavior changes as the behavioral patterns of AVs changes. Accordingly, this study improves the understanding of how human drivers interact with nonliving road users such as AVs and how the former accept AVs with different driving styles on the road.

Mindfulness decreases driving anger expression: The mediating effect of driving anger and anger rumination.

Mindfulness is a state of being fully attentive to the current moment and is an experiential way of living in daily life. As a personal trait, mindfulness has been proven to enhance various negative emotions and behaviors. However, in the field of driving, there is still a lack of research on the mechanisms of mindfulness on anger expression behavior, specifically aggressive driving. Therefore, the purpose of this study is to reveal the impact of mindfulness on drivers' aggressive driving behaviors and the mediating effect of driving anger and anger rumination. A total of 350 (208 males and 142 females) participants in China voluntarily completed a series of questionnaires, including the Mindful Attention and Awareness Scale (MAAS), the Driving Anger Scale (DAS), the Anger Rumination Scale (ARS) and the Driving Anger Expression Inventory (DAX). The hierarchical multiple regression analysis and pathway analysis results showed that mindfulness negatively predicted driving anger, anger rumination and driving anger expression. Moreover, driving anger and anger rumination mediated the relationship between mindfulness and driving anger expression, accounting for 9.51% and 18.74% of the total effect, respectively. The chain-mediated effect of driving anger and anger rumination accounted for 8.00% of the total effect. This study has revealed some of the internal mechanisms through which mindfulness reduces aggressive driving. It fills a part of the gap in understanding the protective role of mindfulness in the driving domain. Furthermore, it suggests mindfulness interventions for drivers, which may have the potential to enhance overall road safety.

Measurement invariance of the driving inattention scale (ARDES) across 7 countries.

The Attention-Related Driving Errors Scale (ARDES) is a self-report measure of individual differences in driving inattention. ARDES was originally developed in Spanish (Argentina), and later adapted to other countries and languages. Evidence supporting the reliability and validity of ARDES scores has been obtained in various different countries. However, no study has been conducted to specifically examine the measurement invariance of ARDES measures across countries, thus limiting their comparability. Can different language versions of ARDES provide comparable measures across countries with different traffic regulations and cultural norms? To what extent might cultural differences prevent researchers from making valid inferences based on ARDES measures? Using Alignment Analysis, the present study assessed the approximate invariance of ARDES measures in seven countries: Argentina (n = 603), Australia (n = 378), Brazil (n = 220), China (n = 308). Spain (n = 310), UK (n = 298), and USA (n = 278). The three-factor structure of ARDES scores (differentiating driving errors occurring at Navigation, Manoeuvring and Control levels) was used as the target theoretical model. A fixed alignment analysis was conducted to examine approximate measurement invariance. 12.3 % of the intercepts and 0.8 % of the item-factor loadings were identified as non-invariant, averaging 8.6 % of non-invariance. Despite substantial differences among the countries, sample recruitment or representativeness, study results support resorting to ARDES measures to make comparisons across the country samples. Thus, the range of cultures, laws and collision risk across these 7 countries provides a demanding assessment for a cultural-free inattention while-driving. The alignment analysis results suggest that ARDES measures reach near equivalence among the countries in the study. We hope this study will serve as a basis for future cross-cultural research on driving inattention using ARDES.

The effect of perceived global stress and altruism on prosocial driving behavior, yielding behavior, and yielding attitude.

OBJECTIVE: Traffic accidents are mainly caused by driver-to-pedestrian collisions or driver-to-driver collisions. Prosocial driving behavior indicates that drivers exhibit altruistic behavior toward other drivers on roads. Yielding behavior demonstrates that drivers grant the right of passage to pedestrians at unsignalized crossings, while yielding attitude presents the subjective emotional and cognitive inclination to yield to pedestrians at unsignalized crossings. This study aims to explore the effect of altruism and drivers' perceived stress on prosocial driving behavior, yielding behavior, and yielding attitude. In addition, we endeavor to explore the effect of stress on prosocial driving behavior exhibiting an inverted "U-type" curve as Yerkes-Dodson's law suggests and test the moderating role of perceived stress on altruism and prosocial driving behavior/yielding behavior/yielding attitude. METHODS: Using a survey method, we asked 454 participants to complete an altruism scale from the IPIT measuring altruism, a Perceived Stress Scale-10 measuring drivers' perceived stress, a prosocial driving scale from the PADI measuring prosocial driving behavior, and items on yielding behavior and yielding attitude. Then, a correlational matrix, a hierarchical multiple nonparametric regression analysis, and a moderating analysis of perceived stress were employed in sequence to reach our objective. RESULTS: The hierarchical multiple nonparametric regression analysis showed that altruism positively predicts yielding attitude (F = 41.56, p < 0.001), yielding behavior (z = 8.46, p < 0.001, odds ratio = 4.90) and prosocial driving behavior (F = 110.66, p < 0.001), but stress predicts only prosocial driving behavior (F = 7.63, p < 0.001), not yielding attitude (F = 0.51, p > 0.05) or yielding behavior (z = 0.12, p > 0.05), which exhibits an inverted "U-type" curve. Moderating analyses showed that stress only moderates the relationship between altruism and yielding attitude (B = -0.24, t = -2.62, p < 0.01). CONCLUSIONS: Altruism is positively related to prosocial driving behavior, yielding behavior, and yielding attitude. Stress influences prosocial driving behavior only and exhibits an inverted "U-type" curve. Stress does not directly influence the yielding behavior. Instead, stress moderates the relationship between altruism and yielding attitude only and may further increase the possibility of yielding behavior.

The association between the Big Five personality traits and driving behaviors: A systematic review and meta-analysis.

Although a large number of studies have examined the relationship between the Big Five personality traits and driving behaviors, consistent evidence for their relationships is still lacking. The main purpose of this study was to systematically review the relationships between the Big Five personality traits and various driving behaviors with different intentions (including risky, aggressive, and positive driving behaviors) through a meta-analysis. A total of 34 articles met the inclusion criteria for the meta-analysis. The results showed that risky and aggressive driving behaviors were negatively associated with conscientiousness (r = -0.21; r = -0.26), agreeableness (r = -0.23; r = -0.37), and openness (r = -0.08; r = -0.07), positively associated with neuroticism (r = 0.11; r = 0.26), and nonsignificantly associated with extraversion (r = 0.06; r = -0.06). Positive driving behaviors were positively associated with conscientiousness (r = 0.30), agreeableness (r = 0.32) and openness (r = 0.20) but nonsignificantly associated with extraversion (r = 0.08) and neuroticism (r = -0.10). In addition, the association between the Big Five personality traits and driving behaviors could be moderated by age, gender and type of personality measure. In conclusion, this study contributes to the literature by quantitatively synthesizing existing findings and reconciling previous debates on the relationship between the Big Five personality traits and driving behaviors. From a practical perspective, our findings provide valuable insights into driver selection and screening, policy development, and safety intervention design.

Sensation seeking predicts risky driving behavior: The mediating role of difficulties in emotion regulation.

The purpose of this study was to explore the mediating effect of difficulties in emotion regulation on the relationship between sensation seeking and driving behavior based on the dual-process model of aberrant driving behavior. A sample of 299 drivers in China completed the Difficulties in Emotion Regulation Scale, the Driver Behavior Questionnaire, and the Sensation Seeking Scale V (SSS). The relationships among sensation seeking, difficulties in emotion regulation, and driving behavior were investigated using pathway analysis. The results showed that (1) disinhibition and boredom susceptibility are positively and significantly related to difficulties in emotion regulation and risky driving behaviors; (2) difficulties in emotion regulation are positively and significantly associated with risky driving behaviors; (3) difficulties in emotion regulation mediate the effect of sensation seeking on driving behaviors, supporting the dual-process model of driving behavior; and (4) professional drivers score higher in terms of difficulties in emotion regulation and risky driving behaviors than nonprofessional drivers. The findings of this study could provide valuable insights into the selection of suitable drivers and the development of certain programs that benefit road safety.

Trait anger causes risky driving behavior by influencing executive function and hazard cognition.

Drivers with a high level of trait anger feel more intensity of anger on road, contributing to more risky driving behavior and further increasing the probability of collisions. It seems that trait anger directly correlates with risky driving behavior, but how it works in detail remains unknown and previous research indicated executive function and hazard cognition may play a mediation role in it. Our research aims to explore the relationship among these variables and test if there is a multiple mediation model. We sampled 302 valid participants and used online questionnaires, containing trait anger scale (TAS), executive function index (EFI), hazard cognition scale (HCS; representing attitudes towards risky driving behavior), driver behavior questionnaire (DBQ), and self-reported traffic violations (e.g., accidents, penalty points, fines). Hierarchical multiple linear regression of DBQ results show trait anger is a medium but statistically significant predictor of risky driving behavior and drivers' attitude towards risky situations can significantly predict risky driving behavior at medium effect. But risky driving behavior cannot be predicted by executive function. Interestingly, opposing to prior research, zero-inflated Poisson regression analysis of self-reported traffic violations suggests trait anger negatively predicts accidents and fines in the zero-inflation model, and hazard cognition negatively predicts penalty points. Notably, the executive function negatively predicts penalty points and fines in the count model, which confirms our hypothetical direction. They all represent a small effect size in this nonlinear regression model. Path analysis suggested that trait anger influences risky driving behavior through executive function, and hazard cognition both separately and jointly. This study provides a theoretical framework for the transaction model of aggressive driving behavior and offers some possible interventions toward the effect of trait anger on risky driving behavior.

The effect of anger on pedestrian avoidance in a simulated driving task.

Studies of the influence of emotions on driving behaviour have produced contradictory conclusions. This confusion is related to two factors: emotional arousal and driving tasks. The purpose of this study is to explore the effects of anger and happiness on the driving behaviour of drivers who encounter a pedestrian-crossing event on an unmarked road, which requires strategic and behavioural choices. Thirty-nine drivers completed a simulated driving task to avoid pedestrians under the influence of state emotion. The results showed that anger increased the average driving speed, the minimum speed when encountering a pedestrian, the probability of passing in front of a pedestrian, and the lateral distance to the pedestrian from the right. However, there was no difference between the impacts of happy and neutral moods on driving behaviour. These results suggest that general risky driving behaviour (e.g., speeding) is mainly affected by anger state. Meanwhile avoidance behaviour patterns in pedestrian-crossing tasks, as a driving behaviour related to prosocial attitudes, are also affected by emotional valence. Recommendations and implications for further research on driving anger are discussed.

The effect of automation trust tendency, system reliability and feedback on users' phishing detection.

As a new intrusion method in the security field, phishing poses an enormous threat to network security and personal privacy. Thus, improving the level of network security and preventing phishing are a matter of great concern to both the state and researchers. A 2 (automation trust tendency) *2 (system reliability level) *2 (feedback) between-subjects design was adopted to study the impact of individual characteristics and system features on phishing detection. Three hundred ninety-eight participants completed a phishing email task to identify whether 40 emails were legitimate or fraudulent. The results showed that systems with feedback and high reliability improve users' performance in email identification. Users with a high tendency towards automation trust have a higher risk of phishing. However, feedback from the system helps calibrate a high automation trust tendency. These research results can promote an understanding of phishing prevention mechanisms and provide support for the design of email defence systems.

Exploring the performance of click and slide gestures on large in-vehicle touch screens.

Because of the operation distractions created by large in-vehicle touch screens, it is necessary to explore the influence of the locations at which clicking and sliding gestures are performed on driving safety and operation performance. This study conducted two experiments to identify an easy operation area. In experiment 1, the influence of control size and control position on click offsets was discussed. The results showed that click offsets increased with increasing control size. Click offsets were larger at positions blocked by a driver's arm and that were far away from drivers. The click accuracy equation was fitted for different hot zone sizes. Experiment 2 focused on identifying easy sliding ranges. The results revealed sliding areas for 20%, 50%, and 80% of users under different sliding directions and positions. This study identified easy and difficult areas for users to operate large in-vehicle touch screens, providing theoretical guidance for display buttons arrangement.

Effects of dietary patterns on driving behaviours among professional truck drivers: the mediating effect of fatigue.

OBJECTIVE: To explore the impact of the dietary patterns of truck drivers on their driving behaviours and the mediation effect of fatigue between these factors. METHODS: A sample of 389 male truck drivers from a transport company in Suzhou, China completed the Food Frequency Questionnaire (FFQ), the Multidimensional Fatigue Inventory (MFI), the Positive Driver Behaviours Scale (PDBS) and the Driver Behaviour Questionnaire (DBQ). The associations among dietary patterns, fatigue and driving behaviour were examined using pathway analysis. RESULTS: Four dietary patterns were identified based on principal component analysis: animal-derived foods, staple foods, snacks and vegetables. The pathway analysis showed that the vegetable-rich pattern had a direct positive impact on positive driving behaviour (ß=0.211, p<0.001); the animal-derived pattern had a direct positive impact on errors (ß=0.094, p<0.05) and ordinary violations (ß=0.071, p<0.05); the snacks pattern had a direct negative impact on positive driving behaviour (ß=-0.191, p<0.001); fatigue mediated the effect of dietary patterns on driving behaviours (p<0.001); and the staple foods had an indirect effect on driving behaviours. CONCLUSIONS: Overall, the driving behaviours of truck drivers are correlated with their dietary patterns. Drivers who preferred vegetables and staple foods had more positive driving behaviour, while the animal-derived food and snack patterns were related to dangerous driving behaviour. The experience of fatigue could explained the underlying mechanism between these factors.

How personal characteristics impact phishing susceptibility: The mediating role of mail processing.

In the phishing email literature, recent researchers have given much attention to individual differences in phishing susceptibility from the perspective of the Big Five personality traits. Although the effectiveness and advantages of the phishing susceptibility measures in the signal detection theory (SDT) framework have been verified, the cognitive mechanisms that lead to individual differences in these measures remain unknown. The current study proposed and examined a theoretical path model to explore how the Big Five personality traits, related knowledge and experience and the cognitive processing of emails (i.e., mail elaboration) influence users' susceptibility to phishing emails. A sample of 414 Chinese participants completed the 44-item Big Five Personality Inventory (BFI-44), Mail Elaboration Scale (MES), Web Experience Questionnaire, Experience with Electronic Mail Scale, Knowledge and Technical Background Test and a demographic questionnaire. The phishing susceptibility measures were calculated after the participants finished an email legitimacy task in a role-playing scenario. The results showed that the general profile of the "victim personality" included low conscientiousness, low openness and high neuroticism, and Internet experience and computer and web knowledge played an important role. All of these factors have significant indirect effects on phishing susceptibility by influencing mail elaboration. Moreover, the probabilities of checking for further information or deleting the email reflect the sensitivity of email judgment. These findings reveal the mediating role of cognitive processing between individual factors and phishing susceptibility. The theoretical implications of this study for the phishing susceptibility literature and its applications to phishing risk interventions or training programs are discussed.

Does visual search mediate the effect of chronotype on driving behaviour: Evidence from simulated driving.

Chronotype refers to individual differences in the timing of circadian sleep-wake cycles and subjective alertness throughout the day. It is a potential factor influencing people's driving behaviour, but no research has explored the mechanisms underlying this topic. The current study aimed to explore the relationship between morningness-eveningness preferences and driving behaviour and the mediating effect of visual search between them. Thirty-eight drivers were selected to participate in this study based on their chronotype. They were divided into morning-type and evening-type groups by their score on the reduced Morningness-Eveningness Questionnaire (rMEQ). Both groups completed a visual search task and a simulated driving task in a morning session and an evening session. The results showed that morningness-eveningness preferences had synchronous effects on basic driving performance; specifically, morning-type drivers showed better driving behaviour in the morning than in the evening, and evening-type drivers showed the opposite trend. Furthermore, visual search abilities showed a mediating effect between morningness-eveningness preference and driving performance. The mechanisms underlying these results are discussed. Related results and data could aid with schedule arrangements for professional drivers.

Negativity bias towards anger in dangerous drivers: Empirical evidence from ERPs.

Because of the increase in the numbers of vehicles and drivers, traffic congestion causes anger on the road to occur frequently. In addition to the impact of personality traits, the information processing of emotional stimuli also influences drivers' behaviours. Research is needed to understand how drivers interact with anger stimuli and the differences in processing anger information between safe and dangerous drivers. This study aimed to explore the differences between safe and dangerous drivers' negativity bias towards anger and discuss the causes of dangerous driving behaviours from the perspective of information processing. In total, 34 participants were divided into a safe group and dangerous group based on their traffic violation history and driving behaviour trends. Participants completed an emotional Stroop task with event-related potential (ERP) data. The results showed that the P200 amplitudes of dangerous drivers were significantly reduced compared with those of safe drivers when processing angry and neutral faces, indicating the inadequate assessment of angry faces in early emotional processing. The N170 amplitudes of dangerous drivers were significantly reduced compared with those of safe drivers when processing angry faces, demonstrating decreased negative input that is potentially related to dispositional fearlessness and uncaring traits. This study revealed negativity bias towards anger in dangerous drivers based on ERP evidence, enabling us to understand the differences in driving behaviours from the perspective of physiological mechanisms.

The influence of WeChat use on driving behavior in China: A study based on the theory of planned behavior.

Driving has become common, and distracted driving, especially that caused by WeChat use, is a significant cause of traffic crashes. Based on the theory of planned behavior, this study analyzes self-reports from a sample of 286 drivers from China to explore the influence of different WeChat functions on driving behavior. The analyses reveal that the intention to use WeChat while driving can substantially predict the use of WeChat while driving. Moreover, drivers' attitudes can effectively predict whether they will send texts, listen to voice messages, and send and browse pictures on WeChat while driving. However, drivers' attitudes cannot effectively predict whether they will read texts or send voice messages on WeChat while driving. In recent years, WeChat has become a popular messaging software, and many drivers use it. Therefore, it is important and necessary to raise awareness among drivers about the dangers of using WeChat while driving.

Differences in visual-spatial working memory and driving behavior between morning-type and evening-type drivers.

Circadian rhythms are changes in life activities over a cycle of approximately 24 hours. Studies on chronotypes have found that there are significant differences in physiology, personality, cognitive ability and driving behavior between morning-type and evening-type people. The purpose of this study is to explore the relationship between visual-spatial working memory and driving behavior between morning-type and evening-type drivers in China. A total of 42 Chinese drivers were selected to participate in this study according to their score on the Morningness-Eveningness Questionnaire, including 22 morning-type drivers and 20 evening-type drivers. During the experiment, the participants completed one cognitive task (visual-spatial working memory), two simulated driving tasks (car-following task and pedestrian-crossing task), and the Dula Dangerous Driving Index (DDDI). The results showed that evening-type drivers self-reported more dangerous driving behaviors but had better lateral control on the simulated driving task than morning-type drivers. In addition, evening-type drivers had greater accuracy when performing the visual-spatial working memory task. Moreover, the accuracy on the visual-spatial working memory task positively predicted the percentage of time over the speed limit by 10 mph (POS10) and negatively correlated with the reaction time measure (time to meet pedestrians) in the pedestrian-crossing task. The relationships among chronotype, cognitive ability and driving behavior are also discussed. Understanding the underlying mechanisms could help explain why evening-type drivers perform dangerous driving behaviors more often.

Relationship between childhood sexual abuse and non suicidal self injury of female nursing students / 中国学校卫生

Objective@#To explore the relationships between the characteristics of childhood sexual abuse and non-suicidal self-injury in nursing female college students.@*Methods@#Two medical colleges and junior colleges were selected in Anhui province. A total of 2 549 female nursing students in grade 1 to 3 were asked to fill a questionnaire regarding sociodemographic information,childhood sexual abuse and non-suicidal self-injury.@*Results@#The reported rate of non-suicidal self-injury among female nursing students in the past six months was 8.2%. Sexual abuse at any time during childhood (primary school or earlier,middle school and high school) increased the risk of non-suicidal self-injury among female nursing students (P<0.05). Exposure to sexual abuse in all three periods was associated with 5.04(95%CI=1.73-14.62) times odds ratio than that of those who not exposed to sexual abuse (P<0.01). Only contact sexual abuse and both contact and non-contact sexual abuse in childhood were correlated with nonsuicidal selfinjury among female nursing students [OR(95%CI)=2.21(1.48-3.29), 3.56(2.13-5.96)] (P<0.05). Two patterns of sexual abuse experiences were identified,including persistent sexual abuse (3.1%) and the other group is occasional sexual (96.9%). Persistent sexual abuse in childhood was correlated to higher risk of non-suicidal self-injury compared with occasional sexual abuse (OR=2.61,95%CI=1.35-5.05,P<0.01).@*Conclusion@#The occurrence periods,types and patterns of sexual abuse in childhood are closely related to non-suicidal self-injury in female nursing students.

Development and validation of a questionnaire to assess public receptivity toward autonomous vehicles and its relation with the traffic safety climate in China.

The advent of autonomous vehicles (AVs) has gained increasing attention in China. Although auto manufacturers and innovators have attempted to confirm that AVs are safe and have introduced them on public roads, it is vital to understand end-users' acceptance of AVs. A total of 1453 participants voluntarily and validly completed a series of questionnaires. The questionnaires included the Autonomous Vehicle Acceptability Scale (AVAS), the Traffic Climate Scale (TCS), and sociodemographic variables. The satisfactory internal consistency reliability and construct validity revealed that the newly developed Chinese version of the AVAS is a suitable tool to measure public acceptance of AVs. Moreover, exploratory factor analysis and confirmatory factor analysis conformed to the four factors of AVAS, including benefits in usefulness (BIU), benefits in situations (BIS), concern scenarios (CS) and system concern (SC). Scores higher on benefits and lower on concerns represent more acceptance of AVs. In addition, we found that the public's perceived local traffic safety climate affected the attitude toward AVs. More specifically, external affective demands (EAD) were found to be a significant predictor of SC, internal requirements (IR) were shown to have an effect on BIS and CS, and functionality was found to be a significant predictor of BIU and SC. Furthermore, the differences between drivers and non-drivers revealed that drivers were concerned significantly less about AVs and regarded AVs as more useful than non-drivers did. To gain more customers for the purchase of AVs, it is necessary for automotive vehicle manufacturers and retailers to introduce and advertise the functions and usability of autonomous driving systems to the public. Gaining acceptance from end users and understanding the factors that affect acceptability will be critical to the widespread deployment of AVs.

Relationship between childhood maltreatment and quality of life among female nursing students / 中国学校卫生

Objective@#To investigate the correlation between childhood maltreatment and quality of life (QOL) in nursing girls in Anhui Province, so as to provide reference for improving QOL of nursing girls.@*Methods@#The stratified cluster sampling method was used to select students of grade 1 to 3 in nursing major from 2 colleges and 2 specialized colleges by self-administered questionnaire in Anhui province. The questionnaire was conducted to analyze the relationship between childhood abuse and neglect and QOL of female nursing students. Multiple linear regression model was used to assess the associations between childhood maltreatment and QOL.@*Results@#Among 2 549 female nursing students, the mean scores of 4 dimensions of QOL were physical (12.85±2.01), psychological (13.86±2.40), social relationship (12.83±2.84) and environment (13.37±2.21). The scores of QOL among college students were higher than specialized college students, high grade students were higher, and those who have a good relationship with their parents were higher(P<0.01). The prevalence rates of childhood physical abuse, emotional abuse, sexual abuse, physical neglect, and emotional neglect were 4.9%, 10.6%, 7.3%, 6.7% and 4.1%, respectively. The scores of QOL were lower among female nursing students with childhood maltreatment than those without childhood maltreatment(P<0.01). The results of multiple linear regression analysis showed that the number of childhood abuse and neglect were negatively correlated with physical, psychological and environmental dimension of QOL, and the number of childhood maltreatment were significantly dose-responsive to quality of life(P<0.05).@*Conclusion@#The female nursing students are still greatly neglected, and the experience of childhood maltreatment is negatively related to the quality of life among female nursing students.

Relationship between childhood sexual abuse and sexual behavior among female nursing students / 中国学校卫生

Objective@#To explore the relationship between childhood sexual abuse (CSA) experience and sexual behavior among female nursing students and to provide a scientific reference for intervening sexual behavior for female nursing students.@*Methods@#A cross-sectional study was conducted among 2 549 female students majoring nursing from four medical schools (one is a medical college and the other is medical junior college) by self-administered questionnaire. A questionnaire survey regarding demographic information, childhood sexual abuse, sexual behavior was conducted and multi-factor Logistic regression method was used to analyze the effect of childhood sexual abuse in different stages made on their sexual behavior.@*Results@#Among 2 549 female nursing students, 143(5.6%) reported having had sexual intercourse, 141 reported having had sexual intercourse with the opposite sex, 6 reported having had sexual intercourse with the same sex, and 4 reported having sexual intercourse with both sexes. The report rate of sexual behavior of nursing students in undergraduate colleges (6.8%) was lower than that of junior college (3.9%), the second-grade nursing students reported the highest rate of sexual behavior (7.8%), the lowest in first grade (4.0%). Nursing students in good relationship with parents reported lowest rate of sexual behavior(P<0.05). Compared to those who had not experienced CSA, students who had experienced contacting or no-contacting CSA reported a higher percentage engaged in sexual intercourse(P<0.05). CSA in all types and different stages in childhood associated with higher risk of sexual intercourse among nursing students(P<0.05).@*Conclusion@#Childhood sexual abuse shows significant impacts on sexual behaviors during young adulthood, which warrants further attention to promote physical and mental health of college students.