Mindful self-care among oncology nurses in China: a latent profile analysis.

BACKGROUND: Oncology nurses are considered the group with the highest risk for moral distress, compassion fatigue and burnout. Mindful self-care may help oncology nurses improve their well-being and solve psychological problems. However, the investigation and in-depth analysis of mindful self-care among oncology nurses in China is lacking. OBJECTIVES: To identify heterogeneity groups of oncology nurses on mindful self-care ability and examine the sociodemographic correlation to these profiles. DESIGN: Cross-sectional descriptive study. PARTICIPANTS: The study was carried out among oncology nurses in two affiliated comprehensive hospitals and one affiliated oncology hospital. A total of 839 oncology nurses were enrolled in this survey. METHODS: From January to May 2023, a cross-sectional study was carried out among oncology nurses using convenient sampling. The subjects were given the brief Mindful Self-Care Scale (B-MSCS) and the General Demographic Information Questionnaire. Latent profile analysis using the Mplus 7.4 program was used to separate oncology nurses' mindful self-care into a variety of subgroups. The SPSS 25.0 statistical program was used to analyze the data. One-way ANOVA and the chi-square test were performed to compare the score of B-MSCS in each class and the difference in sociodemographic characteristics among the subgroups. Multinomial logistic regression was used to examine the influence of the sociodemographic variables on each class. RESULTS: The total score of the B-MSCS was 76.40 ± 13.19. The support structure dimension had the highest score, with an average mean value of 3.60, and physical care had the lowest score at 2.57. The findings of the latent profile analysis showed that respondents were divided into three classes, moderate mindful self-care(51.2%), low-low mindful relaxation(14.8%), and high-high mindfulness self-awareness(34.0%). Across scale scores and dimensions, three groups demonstrated statistically significant differences (p < 0.05). Univariate analysis revealed significant differences between the three profiles in terms of professional title, position, concern about self-care, interest in mindfulness, and experience with meditation (p < 0.05). Profile membership was predicted by 3 factors, namely, self-care status, interest in mindfulness, and experience with meditation. CONCLUSION: The mindful self-care among oncology nurses can be categorized into three latent profiles: moderate mindful self-care, low-low mindful relaxation, and high-high mindfulness self-awareness. Multinomial logistic regression results indicated that whether oncology nurses concern about self-care, interest in mindfulness and have experience with meditation influenced different latent profiles. Nursing manager should develop targeted intervention based on the typological characteristics of the oncology nurses to improve their mindful self-care ability and mental health.

Latent profiles as predictors of response to instruction for students with reading difficulties.

The program code developed by others is appropriately cited in the text and listed in the references section. The raw and processed data on which study conclusions are based are not available. The statistical syntax needed to reproduce analyses in the article is available upon request. The methods section provides references for the materials described therein. We report how we determined our sample size, all data exclusions, all manipulations, and all measures in the study, and we follow APA Style Journal Article Reporting Standards. This study's design, hypotheses, and data analytic plan were not pre-registered. Prior research supports the need for elementary-aged students with reading difficulties (RD) to receive explicit systematic small group evidence-based reading instruction. Yet for many students, simply receiving an evidence-based reading instruction in a small group setting is insufficient to reach the progress milestones needed to meet grade level reading standards. The current study examined whether: (1) elementary school students with RD constitute a homogeneous or heterogeneous groups when considering their basic language and cognitive skills (using a latent profile analysis), and (2) if latent profiles are predictive of response to reading comprehension instruction (using a mixed modeling approach). The sample consisted of 335 students, including students with RD and typical students (n = 57). The results revealed heterogeneity within students with RD - there were two distinct profiles, with one having higher basic language (reading fluency and decoding) and cognitive (verbal domain productivity, cognitive flexibility, working memory) skills and lower attention skills, and the other having stronger attention skills and lower basic language and cognitive skills. The findings also suggested that latent profiles were predictive of response to reading comprehension instruction. Our results provide a convincing argument for leading the field in the direction of developing customized interventions. It is conceivable, but remains to be further examined, that researchers and educators could potentially improve reading outcomes through providing a customized reading intervention to a student based on their cognitive-language profile.

Latent profile analysis of depression and its influencing factors in older adults raising grandchildren in China.

OBJECTIVE: To explore the latent profile of depression in older adults raising grandchildren in China, and to analyze the differences in the characteristics of the different profiles of the population and the factors influencing them. METHODS: This study utilized the 2018 China Health and Retirement Longitudinal Study (CHARLS). Through a cross-sectional study, the latent profile analysis was used to analyze the potential classification of depression among older adults raising grandchildren, and using ordered multi-categorical logistic regression analyses to assess the effects of each factor on their different classifications. RESULTS: The 1271 older adults raising grandchildren with depression symptoms were divided into three categories: low-level depression (55.4%), moderate-level depression (31.2%), and high-level depression (13.4%). Ordered multi-categorical Logistic results showed: Gender, marital status, pension insurance, physical health status, life satisfaction, and IADL were predictors of latent profile classification of depression symptoms in older adults raising grandchildren (P < 0.05). CONCLUSIONS: In the future of primary care, it will be more meaningful to provide targeted interventions for different subgroups of depression in older adults raising grandchildren.

Social wellbeing profiles: associations with trust in managers and colleagues, job satisfaction, and intention to leave.

Introduction: This study aimed to determine latent social wellbeing profiles and investigate differences between the profiles in terms of trust in managers and colleagues, job satisfaction, intention to leave, and demographic variables (age and service years). Methods: Permanently employed individuals of a South African utility organization participated in the study (N = 403). The Social Well-being Scale, Workplace Trust Survey, Job Satisfaction Scale, and Turnover Intention Scale were administered. Results: Four social wellbeing profiles were identified: socially disconnected (19.11%), socially challenged (31.27%), socially adequate (22.30%), and socially thriving (27.33%). Individuals in the socially thriving profile were significantly more inclined to experience job satisfaction and had lower intentions to leave than individuals in the other social wellbeing profiles. Two demographic variables, namely, age and service years, were associated with profile membership. Discussion: This study provided a nuanced understanding of social wellbeing by identifying patterns in which social contribution, social integration, social actualization, social coherence, and social acceptance interacted within individuals in a population, which might otherwise not have been evident. The differing levels of social wellbeing among these profiles have substantial implications for job satisfaction and staff retention.

Motivational profiles for eating behavior and their associations with intuitive eating.

Intuitive eating is an adaptive eating approach shown to have positive psychological and physical health outcomes. Understanding the motivation behind eating behavior can provide valuable information for why some women eat intuitively and others do not. Using self-determination theory (SDT), this study aimed to identify motivational profiles for eating behavior and examine differences in intuitive eating across these motivational profiles. A nationally representative sample of New Zealand women (n = 1,447) aged 40 to 50 years (M = 45.4; SD = 3.2) completed questionnaires assessing motivation and intuitive eating. Latent profile analysis identified five profiles characterized by varying levels of the global and specific forms of behavioral regulation described by SDT. The self-determined profile, characterized by high levels of global self-determination, had higher intuitive eating scores. The internalized profile, characterized by high levels of identified and integrated regulation, had average intuitive eating scores. The conflicted profile, characterized by high levels on most forms of behavioral regulation, and the unmotivated profile, characterized low levels on all forms of behavioral regulation, had a mix of high and low intuitive eating subscale scores. The amotivated profile, characterized by very high levels of amotivation, had lower intuitive eating scores. A motivational profile characterized by higher levels of self-determination and lower levels of the extrinsic forms of behavioral regulation appears to be beneficial for intuitive eating. Therefore, SDT-informed eating behavior interventions that enhance women's self-determined motivation should be created to facilitate intuitive eating in midlife women.

Latent profile analysis and related factors for fear of cancer recurrence among Chinese breast cancer patients in rehabilitation.

PURPOSE: Fear of cancer recurrence (FCR) is a psychological problem often faced by breast cancer patients in the rehabilitation period. The aim of this study was to identify FCR subgroups of Chinese breast cancer patients in rehabilitation and to analysis the factors affecting each subgroup. The effects of the subgroups on quality of life (QoL) were also explored. METHODS: Cross-sectional data were collected from 300 breast cancer patients in a rehabilitation setting. The researchers invited the subjects to complete questionnaires on FCR, fatigue, anxiety depression, perception of illness and QoL. The researchers conducted a latent profile analysis. The factors influencing the subgroups of FCR were identified using ANOVA and multinomial logistic regression analyses. Linear regression analyses were used to explore the effect of subgroups on QoL. RESULTS: There were three subgroups of FCR: profile 1 'Low FCR Group' (42.3%), profile 2 'Moderate FCR Group' (45.6%), and profile 3 'High FCR Group' (12.1%). Cancer stage II was a protective factor for FCR patients (OR = 0.107, P < 0.01) and was more likely to be categorized among the low FCR group. Anxiety depression was a risk factor for FCR patients and was more likely to be categorized in the medium FCR group (OR = 1.764, P < 0.001) and in the high FCR group (OR = 2.911, P < 0.001). In addition, patients subjected to a high perception of illness were more likely to be considered in the medium FCR group (OR = 1.041, P < 0.05), a risk factor affecting patients with FCR. Linear regression analysis showed that subgroups with higher FCR had a stronger negative predictive effect on their QoL (all P < 0.001). CONCLUSIONS: The FCR was identified as three subgroups among breast cancer patients in rehabilitation, which suggests that healthcare professionals should give full consideration to the impact of cancer stage, anxiety and depression, and illness perceptions on the FCR subgroups in order to improve their QoL.

Nothing means anything if everything means something: exploring the issues of coping profiles and the person-centered approach.

BACKGROUND: Adopting a person-centered approach to coping potentially allows researchers to explore the multifaceted nature of the construct. However, this increasingly adopted approach also has limitations. Namely, employing cluster or latent profile analysis to investigate coping through a person-centered lens often brings a lack of generalizability and subjectivity in interpreting the generated profiles. As such, this study aimed to explore the impact of varied methodology in person-centered investigations of coping profiles. METHODS: 682 university students' (M = 21.3 years old, SD = 3.5) responses to the COPE Inventory were analyzed across item, subscale, and higher-order category levels using cluster and latent profile analysis to produce 6 finalized models for cross-method comparison. RESULTS: Throughout 19 analyses, approach coping, avoidance coping, low coping, and help-seeking profiles were consistently identified, alluding to the potential of universal coping trends. However, membership overlap across COPE structures and methodology was largely inconsistent, with individual participants classified into theoretically distinct profiles based on the methodology employed. CONCLUSION: While evidence suggests latent profile analysis provides a more rigorous approach, the significant impact of minor methodological variations urges a reevaluation of person-centered approaches and incorporation of multi-construct data to enhance the understanding of coping profiles.

Motivations to engage in collective action: A latent profile analysis of refugee supporters.

What motivates people to participate in collective action? Some actions such as symbolic or online actions are often critiqued as performative allyship, motivated by personal gain rather than genuine concern for the cause. We aim to adjudicate this argument by examining the quality of motivations for acting, drawing on the insights of self-determination theory and the social identity approach. Using latent profile analysis, we examined whether there are different types of supporters of refugees based on their underlying motives. In Study 1, we surveyed supporters of Syrian refugees from six nations (N = 936) and measured autonomous and controlled motivation, pro-refugee identification and collective action. In Study 2 (N = 1994), we surveyed supporters of Ukrainian refugees in Romania, Hungary and the UK. We found 4-5 profiles in each sample and consistently found that supporters with high autonomous motivation take more action than disengaged or ambivalent supporters (low/neutral on all motives). However, contrary to the tenets of self-determination theory, those high in both autonomous and controlled motives were the most engaged. We conclude that the most committed supporters are those with multiple motives, but further research is needed on the role of controlled motivation.

Latent profile analysis of benefit finding among family caregivers of Chinese older adults with disabilities and its influencing factors.

OBJECTIVES: The increase in the number of older adults with disability creates new challenges for caregivers. Benefit finding is the positive experience that caregivers get from caregiving, helping to reduce the negative impact on the caregiver's quality of life. However, there is less research on the positive experiences of family caregivers of older adults with disabilities. This study aimed to identify different benefit finding profiles among family caregivers of older adults with disabilities in China and to explore the sociodemographic characteristics and psychosocial factors with different benefit finding profiles. METHODS: A cross-sectional study of 218 family caregivers of Chinese older adults with disabilities using the sociodemographic questionnaire, the Family-APGAR, the Sense of Coherence-13, the Emotion Regulation Scale and Benefit Finding Scale from October 2022 to June 2023 in communities and hospitals of China, Shenyang, Liaoning Province. Latent profile analysis was used to analyze the latent profiles of benefit finding among family caregivers of Chinese older adults with disability. Multiple logistic regression was used to explore the predictors of different profiles. RESULTS: The benefit finding among family caregivers of Chinese older adults with disability can be classified into three potential profiles: Profile 1 - high-level benefit finding group (12.84%), Profile 2 - medium-level benefit finding group (43.58%), Profile 3 - low-level benefit finding group (43.58%). Working status, family function, and cognitive reappraisal of caregiver were predictors of different profiles. CONCLUSIONS: Nurses and community health care staffs should pay attention to the characteristics, family function, and emotion regulation strategies of family caregivers of older adults with different disability. Help family caregivers enhance family cohesion and cognitive reappraisal to improve positive experiences for caregivers in different profiles.

Subgroups of relational job characteristics and their differences in turnover intention and subjective well-being among nurses: a latent profile analysis.

OBJECTIVE: Relational job characteristics include perceived social worth and perceived social influence. Good relational job characteristics mean that nurses have high prosocial behavior. The purpose of this study was to explore the potential profile of nurses' relational job characteristics, influencing factors and their differences in turnover intention and subjective well-being, thus finding the most suitable clinical relationship job characteristics. METHODS: A cross-sectional survey was conducted among 1013 clinical nurses using the general demographic data questionnaire, Relational Job Characteristics scale, Turnover Intention Questionnaire and Campbell index of well-being. A latent profile analysis was performed to explore relational job characteristics latent profiles. Multinomial logistic regression analysis was conducted to examine the predictors of profile membership, and a one-way analysis of variance was applied to compare the turnover intention and subjective well-being in each latent profile. RESULTS: Five latent profiles were identified and labeled 'High prosocial job characteristics' profile (20.7%), 'Moderate prosocial job characteristics' profile (41.7%), 'High social worth-low social impact perceived' profile (6.3%), 'Low social worth-high social impact perceived' profile (18.8%) and 'Low prosocial job characteristics' profile (12.5%). Factors affecting the different types of nurse relationship job characteristics include age, marital status, hospital department, nursing years, professional title and hospital position. Among them, chief nurse, nurses with more than 20 years of nursing experience and obstetrics and gynecology nurses were more likely to be 'high prosocial job characteristics' profile. The turnover intention of nurses in 'high prosocial job characteristics' profile was significantly lower than that of other profiles, and their subjective well-being was significantly higher than that of other profiles. CONCLUSION: Improving nurses' perception of social worth and social impact on clinical work can improve nurses' prosocial behavior and subjective well-being, and reduce their turnover intention. Nursing managers or policy makers can formulate targeted intervention measures according to the influencing factors of potential profiles.

Latent profiles of narrative competence and professional identity among nursing students: A cross-sectional analytic study based on the Ring theory of personhood.

AIM: To identify latent profiles of narrative competence in nursing students and examine the association between the potential competence profiles and professional identity from a person-centred perspective. BACKGROUND: According to the Ring theory of personhood, nursing students can develop their professional identities from individual, relational and social aspects through interaction with patients, as well as listening to, understanding and responding to patients' disease narratives. However, few studies have examined the relationship between narrative competence and professional identity through the quantitative method. DESIGN: A cross-sectional analytic study. METHODS: A total of 472 nursing students responded to the survey between March and May 2023. The Professional Identity Questionnaire for Nurse Students and the Narrative Competence Scale were given to participants. Latent profile analysis was conducted to identify narrative competence profiles. The Bolck-Croon-Hagenaars method was used to analyse whether these latent profiles for narrative competence affected nursing students' general, individual, interpersonal and social professional identities. RESULTS: Latent profiles were identified as "low narrative competence" (12.1 %), "relatively low narrative competence" (39.9 %), "moderate narrative competence" (40.1 %) and "high narrative competence" (7.9 %). The profiles only show level differences rather than combinations of competence areas. These profiles had varying effects on the nursing students' general professional identities, as well as their individual, relational and social professional identities. CONCLUSION: This study highlights the significance of providing tailored guidance and support to nursing students, taking into account their unique narrative competency profile, to promote the formation of professional identity from individual, relational and social aspects. Nursing educators should effectively distinguish nursing students with inadequate narrative competence and value patients' disease narratives to promote narrative competence and professional identity.

Who Finds Pornography Stressful? A Latent Profile Analysis.

This study explores the connection between pornography use, sexual functioning, and mental health using latent profile analysis (LPA) to identify distinct profiles among pornography users and assess variations in mental health, including anxiety, depression, and emotion regulation. The aim of this study was to identify profiles among pornography users, specifically distinguishing those with sexual distress and sexual function problems, characterize these profiles, and assess variations in mental health. Data were collected from 463 participants through an anonymous online survey. Three distinct pornography user profiles were identified based on their consumption and sexual problems: high-frequency problematic pornography use (PPU, which is defined as uncontrollable patterns of pornography use resulting in adverse consequences and significant distress) with sexual problems, high-frequency non-PPU without/with low sexual problems, and no/low-frequency non-PPU without sexual problems. Differences among the profiles emerged in anxiety and depressive symptoms as well as emotion regulation capabilities. The high-frequency PPU with sexual problems group exhibited lower emotion regulation capabilities, while the no/low-frequency non-PPU without sexual problems group reported significantly lower depressive symptoms. This study emphasizes the multifaceted nature of pornography use, revealing that certain patterns may be more problematic. The findings highlight the interplay between emotional dysregulation, anxiety, depression, problematic pornography use, and sexual problems and distress. Recognizing these distinct profiles is crucial for understanding the relationship between pornography use and sexual and mental well-being, ultimately contributing to more targeted interventions and improved outcomes for all populations.

The impact of parenting style on malevolent creativity based on Chinese university students: a latent profile analysis.

Introduction: This study investigated the association between parenting styles and malevolent creativity. Methods: It used latent profile analysis to compare the differences in malevolent creativity between different combinations of parenting styles with an online sample (N = 620). Results: The results of the study suggest that a three-profile solution best fits the data, and the three profiles were labelled positive open parenting, undifferentiated parenting and negative limited parenting. Subsequent analyses revealed that there were significant differences in malevolent creativity performance among the three parenting styles, with participants in the positive open parenting having more malevolent creativity. Those with undifferentiated parenting had the lowest scores. Discussion: The findings provide theoretical guidance for parenting strategies. Future intervention studies on malevolent creativity should also consider the potential impact of parenting style to obtain better results.

Metacognition as a transdiagnostic factor across eating disorders: a latent profile analysis study.

Background: Metacognition is a crucial aspect of understanding and attributing mental states, playing a key role in the psychopathology of eating disorders (EDs). This study aims to explore the diverse clinical profiles of metacognition among patients with EDs using latent profile analysis (LPA). Method: A total of 395 patients with a DSM-5 diagnosis of ED (116 AN-R, 30 AN/BP, 100 BN, 149 BED) participated in this study. They completed self-report measures assessing metacognition, eating psychopathology, depression, emotional dysregulation, personality traits, and childhood adversities. LPA and Welch ANOVAs were conducted to identify profiles based on metacognition scores and examine psychological differences between them. Logistic regression models were employed to explore associations between personal characteristics and different profiles. Results: A 3-class solution had a good fit to the data, revealing profiles of high functioning (HF), intermediate functioning (IF), and low functioning (LF) based on levels of metacognitive impairments. Participants in the IF group were older and had a higher BMI than those in the HF and LF groups. Individuals with BN were largely categorized into HF and LF profiles, whereas participants with BED were mainly included in the IF profile. Participants in the LF group reported an impaired psychological profile, with high levels of depression, emotional dysregulation, childhood adversity, and personality dysfunction. Multinomial logistic regression analyses showed significant associations between metacognitive profiles and emotional and neglect abuse, emotion dysregulation, and detachment. Conclusion: This exploratory study unveils distinct metacognitive profiles in EDs, providing a foundation for future research and targeted interventions. In this light, metacognitive interpersonal therapy could be a valid and effective treatment for EDs, as suggested by the initial promising results for these patients.

A study of latent profile analysis of empathic competence and factors influencing it in nursing interns: a multicenter cross-sectional study.

Background: Empathy, as one of the fundamental principles of nursing professionalism, plays a pivotal role in the formation and advancement of the nursing team. Nursing interns, as a reserve force within the nursing team, are of significant importance in terms of their ability to empathize. This quality is not only directly related to the degree of harmony in the nurse-patient relationship and the enhancement of patient satisfaction, but also plays a pivotal role in the promotion of the quality of nursing services to a new level. Aim: The objective of this study was to gain a deeper understanding of the current state of nursing interns' empathic abilities. To this end, we sought to examine empathic performance under different profile models and to identify the key factors influencing these profile models. Methods: The study utilized 444 nursing interns from 11 tertiary general hospitals in Inner Mongolia as research subjects. The study employed a number of research tools, including demographic characteristics, the Jefferson Scale of Empathy, and the Professional Quality of Life Scale. A latent profile model of nursing interns' empathy ability was analyzed using Mplus 8.3. The test of variability of intergroup variables was performed using the chi-square test. Finally, the influencing factors of each profile model were analyzed by unordered multi-categorical logistic regression analysis. Results: The overall level of empathy among nursing interns was found to be low, with 45% belonging to the humanistic care group, 43% exhibiting low empathy, and 12% demonstrating high empathy. The internship duration, empathy satisfaction, secondary traumatic stress, only child, place of birth, and satisfaction with nursing were identified as factors influencing the latent profiles of empathy in nursing interns (p < 0.05). Conclusion: There is considerable heterogeneity in nursing interns' ability to empathize. Consequently, nursing educators and administrators should direct greater attention to interns with lower empathy and develop targeted intervention strategies based on the influences of the different underlying profiles.

Distinguishing Affective Temperament Profiles in Major Depressive Disorder and Bipolar Disorder Through the Short Version of TEMPS-A: Cross-Sectional Study Using Latent Profile Analysis.

OBJECTIVE: This study aimed to elucidate the distinct response patterns exhibited by patients diagnosed with bipolar disorder (BD) and those with major depressive disorder (MDD) through the application of the short version of the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego Autoquestionnaire (TEMPS-A-SV). METHODS: A total of 2,458 participants consisting of patients with MDD (n=288), BD (BD I, n=111; BD II, n=427), and control group (n=1,632) completed the TEMPS-A-SV. The response patterns of the participants were classified into distinct profiles using latent profile analysis. The study further examined the impact of covariates such as age, sex, and diagnostic group on derived latent profile memberships. RESULTS: The following three latent profiles were identified: High Affective Temperament Group (17.86%), Low Affective Temperament Group (41.25%), and Middle Affective Temperament Group (40.89%). Compared with the patient group with MDD and BD, the control group was more likely to belong in the Low Affective Temperament Group, which showed a higher score on hyperthymic temperament than the Middle Affective Temperament Group. Furthermore, compared with the patients with BD, the MDD patients were more likely to be in the Low Affective Temperament Group rather than the Middle Affective Temperament Group. CONCLUSION: These results indicate that different affective temperaments exist between patients with MDD and BD. Attempting to classify response patterns using the TEMPS-A-SV can help diagnose MDD and BD correctly.

How much gaming is too much? An analysis based on psychological distress.

Background: While there are calls to restrict the time spent on gaming because it is seen as problematic and potentially leading to gaming disorder (GD), there is conflicting evidence about this issue. We explored the association between the average weekly time spent gaming and reported GD symptoms. Additionally, Latent Profile Analysis was employed to investigate how time spent gaming relates to variables representing psychological distress (PD), such as satisfaction with life, symptoms of depression, and perceived stress. Methods: Data were collected using surveys with a large sample of highly engaged gamers (N = 14,740; Mage = 24.14 years, SDage = 7.0, 89.3% males). Results: We observed a positive, close to linear association between time spent gaming and GD symptoms. Groups at risk of GD played for about 42 h (SD = 19) on average, according to the American Psychiatric Association and World Health Organization frameworks. Furthermore, we identified four profiles representing varying levels of PD. Gamers reporting very high levels of PD (4.2% of the sample) played for 33 h per week on average. Remarkably, a substantial percentage of the sample (41.9%) showed no PD despite playing for 26 h per week. Conclusion: The association between gaming time and PD is complex as even prolonged time spent gaming can be unproblematic for many gamers.

Person-centered exploration of work-related stress patterns, predictors, and their association with subhealth in midwives: A cross-sectional study.

BACKGROUND: Midwives experience elevated levels of work-related stress. However, there is limited understanding of the patterns of this stress, its sociodemographic and work-related determinants, and its association with sub-health. METHOD: This multi-center cross-sectional study, conducted in 21 hospitals in Zhuhai City, Guangdong Province, China, involved 300 midwives. Work-related stress levels in midwives were evaluated using the Chinese version of the Nursing Stress Scale, while social, physical and mental sub-health status was measured with the Sub-Health Measurement Scale. Utilizing latent profile analysis, the study aimed to categorize midwives into homogeneous profiles based on patterns of work-related stress. RESULTS: Among the 300 midwives examined, three distinct profiles were identified: profile 1 (n=57, 19 %), characterized by low work-related stress; profile 2 (n=149, 50 %), representing the moderate work-related stress class; and profile 3 (n=94, 31 %), indicative of high work-related stress. Midwives in the high work-related stress profile tended to be younger, with lower monthly income, lower professional titles, and a higher likelihood of night shift work (all P<0.01). Significant and noteworthy trends were observed in sociodemographic characteristics (age, monthly income, and professional title) and work-related characteristics (night shift status). After controlling for confounders, the work-related stress profile demonstrated a negative association with social, physical and mental sub-health status. CONCLUSION: This study highlights integrating stress domains and adopting a person-centered approach to examine midwives' work-related stress. Identifying predictors of profile membership and their relationship with sub-health can inform tailored interventions to reduce stress and improve midwives' well-being.

Gaming Disorder: The role of a gamers flow profile.

Digital games are widely popular and integral to contemporary entertainment. Nevertheless, a proportion of users present with disordered/excessive gaming behaviours, provisionally classified as Internet Gaming Disorder (IGD). Previous literature suggests examining the contribution of an individual's profile of immersive engagement with their gaming activity, known as online flow, for disordered gaming behaviours. Therefore, the main goals of this study were (1) to categorise gamers into distinct profiles based on their online flow experiences and (2) to investigate the differences in disordered gaming among these different flow profiles. A sample of 565 gamers (12-68 years, Mage = 29.3 years) was assessed twice over six months with the Online Flow Questionnaire (OFQ), the Internet Gaming Disorder Scale-Short-Form (IGDS9-SF), and the Gaming Disorder Test (GDT). Latent profile analysis (LPA) identified five distinct profiles encompassing 'High-Flow with High Loss of Control' (HF-HLOC; 14.0 %), 'Low Flow with Low Enjoyment' (LF-LE; 11.9 %), 'Average Flow with Low Enjoyment' (AF-LE; 17.5 %), 'Low Flow with High Enjoyment' (LF-HE; 20.2 %), and 'High Loss of Sense of Time with Low Loss of Control' groups (HLOT-LLOC; 36.5 %). As hypothesised, individuals across varying profiles evidenced differences in their concurrent and longitudinal disordered gaming behaviours. Overall, findings suggest that 'loss of sense of time' may be the most pivotal factor in differentiating flow states and profiles during gaming, advocating its consideration in disordered gaming assessment and treatment.

Body image, self-efficacy, and sleep quality among patients with breast cancer: A latent profile and mediation analysis.

PURPOSE: As a sign of femininity, impaired breast after surgery causes particularly confusion for patients with breast cancer resulting in increased body image distress, which has negative impacts on sleep quality. And self-efficacy enables patients to use positive and effective coping strategies to maintain a favorable night's sleep. Therefore, our study is to explore the heterogeneity in body image experienced by patients with breast cancer and to examine the mediation effects of self-efficacy between body image and sleep quality. METHOD: Between July 2023 and October 2023, 251 patients with breast cancer were recruited for the Be Resilient to Breast Cancer program. They responded to the General Perceived Self-Efficacy Scale, Body Image Scale, and Pittsburgh Sleep Quality Index Scale. Data were analyzed using a latent profile analysis (LPA) and mediation analysis. RESULTS: Results of the LPA indicated that body image could be classified into three subgroups as follows: low (43.0%), moderate (45.5%), and high (11.5%). Furthermore, the mediation analysis demonstrated two partially mediated effects upon comparing the low and moderate (standard error, SE = 0.548, 95% confidence interval, CI = 0.009, 0.366) and the high and low (SE = 0.848, 95% CI = 0.570, 3.909) body image groups. CONCLUSION: Heterogeneity exists in body image, and self-efficacy mediates the relationship between body image and sleep quality. Hence, promoting self-efficacy can buffer the negative impacts of body image on sleep quality in patients with breast cancer, and self-efficacy-orientated interventions should also receive more attention in clinic.