Adult attachment and dehumanization among Chinese college students: trait attachment and state attachment perspectives.

Introduction: Current social issues such as bullying, online violence, and local conflicts are all prominent topics in the field of psychology and linked to dehumanization. However, research on dehumanization from a non-Western background has been rare. As a key factor influencing individual behavior, attachment has not been sufficiently integrated into studies on dehumanization. Therefore, this study provides empirical evidence to explore the relationship between adult attachment (both trait and state) and dehumanization. The sample consisted of college students from China. Methods: In Study 1 (N = 705) latent profile analysis was employed to exploring the potential categories of trait adult attachment in China, and to investigate how these categories impact dehumanization. Study 2 (N = 281) focused on activating secure attachment and examined the effects of three state attachment types, security, avoidance and anxiety, on dehumanization. Results: Study 1 identified four types of adult attachment: preoccupied, secure, fearful, and dismissing, and revealed that these different attachment types have varying impacts on dehumanization. Study 2 showed that both security and avoidance predict dehumanization. Discussion: This research established a link between adult attachment and dehumanization, offering new insights into the psychological mechanisms underlying dehumanization and suggesting novel strategies for its prevention and intervention.

Pre-hospital delay intention and its associated factors in the high-risk population of stroke: A latent profile analysis.

AIM: To explore the possible latent classifications of pre-hospital delayed intention at high risk of stroke and to analyze the characteristics of different profiles. METHODS AND RESULTS: A cross-sectional study was conducted in one community in Shanghai, China. 470 individuals at high risk of stroke were recruited, and self-reported questionnaires (including socio-demographic, stroke knowledge, health belief, and pre-hospital delay behavior intention scale) were distributed between April and June 2023. A latent profile analysis was employed to identify the delay intention clusters, and multinomial logistic regression was utilized to ascertain the factors influencing the latent classes of delay intention. 457 high-risk populations with a response rate of 97.23% were finally enrolled in this study. Four distinct classes were identified: High warning signs-Low delay intention (26.3%), Low warning signs-Low delay intention (17.7%), moderate level of delay intention (37.3%), and high level of delay intention (18.7%). The influencing factors included stroke knowledge, health belief, age, education background, the nearest distance to the medical institution, and household income. CONCLUSION: The pre-hospital delay intention among high-risk populations of stroke was classified into four distinct classes. It is crucial for individuals at high risk to remain vigilant towards stroke symptoms and to take prompt action. Health promotion education may be explored as a strategy to bridge the gap between the recognition of stroke symptoms and the low pre-hospital delay intention.

Artificial intelligence driven definition of food preference endotypes in UK Biobank volunteers is associated with distinctive health outcomes and blood based metabolomic and proteomic profiles.

BACKGROUND: Specific food preferences can determine an individual's dietary patterns and therefore, may be associated with certain health risks and benefits. METHODS: Using food preference questionnaire (FPQ) data from a subset comprising over 180,000 UK Biobank participants, we employed Latent Profile Analysis (LPA) approach to identify the main patterns or profiles among participants. blood biochemistry across groups/profiles was compared using the non-parametric Kruskal-Wallis test. We applied the Limma algorithm for differential abundance analysis on 168 metabolites and 2923 proteins, and utilized the Database for Annotation, Visualization and Integrated Discovery (DAVID) to identify enriched biological processes and pathways. Relative risks (RR) were calculated for chronic diseases and mental conditions per group, adjusting for sociodemographic factors. RESULTS: Based on their food preferences, three profiles were termed: the putative Health-conscious group (low preference for animal-based or sweet foods, and high preference for vegetables and fruits), the Omnivore group (high preference for all foods), and the putative Sweet-tooth group (high preference for sweet foods and sweetened beverages). The Health-conscious group exhibited lower risk of heart failure (RR = 0.86, 95%CI 0.79-0.93) and chronic kidney disease (RR = 0.69, 95%CI 0.65-0.74) compared to the two other groups. The Sweet-tooth group had greater risk of depression (RR = 1.27, 95%CI 1.21-1.34), diabetes (RR = 1.15, 95%CI 1.01-1.31), and stroke (RR = 1.22, 95%CI 1.15-1.31) compared to the other two groups. Cancer (overall) relative risk showed little difference across the Health-conscious, Omnivore, and Sweet-tooth groups with RR of 0.98 (95%CI 0.96-1.01), 1.00 (95%CI 0.98-1.03), and 1.01 (95%CI 0.98-1.04), respectively. The Health-conscious group was associated with lower levels of inflammatory biomarkers (e.g., C-reactive Protein) which are also known to be elevated in those with common metabolic diseases (e.g., cardiovascular disease). Other markers modulated in the Health-conscious group, ketone bodies, insulin-like growth factor-binding protein (IGFBP), and Growth Hormone 1 were more abundant, while leptin was less abundant. Further, the IGFBP pathway, which influences IGF1 activity, may be significantly enhanced by dietary choices. CONCLUSIONS: These observations align with previous findings from studies focusing on weight loss interventions, which include a reduction in leptin levels. Overall, the Health-conscious group, with preference to healthier food options, has better health outcomes, compared to Sweet-tooth and Omnivore groups.

Patterns of dietary quality, physical activity, and sleep duration among cancer survivors and caregivers.

Fruit and vegetable intake (FVI), moderate-to-vigorous physical activity (MVPA), and sleep duration are each independently associated with cancer-related and general health outcomes among cancer survivors. Past research suggests that health behaviors cluster among cancer survivors, with caregivers demonstrating similar patterns. This analysis examined co-occurrence of FVI, MVPA, and sleep duration among cancer survivors and informal cancer caregivers and identified sociodemographic and clinical correlates of health behavior engagement. Using data from the Health Information National Trends Survey (HINTS), an exploratory latent profile analysis (LPA) was conducted among those self-reporting a history of cancer or identifying as a cancer caregiver. The LPA model was fit with daily self-reported FVI (cups/d), MPVA (minutes/d) and sleep duration (hours/d). Multinomial logistic regression models were used to predict profile membership based on sociodemographic and clinical characteristics. Four health behavior profiles were identified (Least Engaged-No MVPA, Least Engaged-Low MVPA, Moderately Engaged, and Highly Engaged). The largest profile membership was Least Engaged-No MVPA, capturing 37% of the sample. Profiles were most distinguished by MVPA, with the lowest variance in sleep duration. Participants reporting higher FVI also often reported greater MVPA and longer sleep duration. Profile membership was significantly associated with age, relationship status, education, income, rurality, alcohol use, self-efficacy, psychological distress, BMI, and cancer type. This study identified four health behaviors patterns and sociodemographic correlates that distinguished those patterns among cancer survivors and caregivers drawn from a nationally representative sample. Results may help identify for whom health behavior interventions could be of greatest benefit.

Latent profiles of multi-dimensional sleep characteristics and association with overweight/obesity in Chinese preschool children.

OBJECTIVES: To examine the association between latent profiles of multi-dimensional sleep characteristics and overweight/obesity (OWO) in Chinese preschool children. STUDY DESIGN: The cross-sectional analysis included 3204 preschool children recruited from 24 kindergartens in Shanghai. Parents reported children's demographics and sleep characteristics, including sleep duration, timing and disturbances. Latent profile analysis (LPA) was used to identify sleep subtypes. Logistic regression models were used to evaluate the associations between sleep characteristics/subtypes and OWO. RESULTS: Short sleep duration, late bedtime, long social jetlag and sleep disturbances were significantly associated with increased OWO. However, when considering the interplay of sleep duration and timing, there was no significant association between sleep duration and OWO for children sleeping later than 22:00. Three sleep subtypes were identified based on children's sleep duration, timing and disturbances: "Average Sleepers" (n = 2107, 65.8 %), "Good Sleepers" (n = 481, 15.0 %), and "Poor Sleepers" (n = 616, 19.2 %). "Good Sleepers" had reduced odds of being OWO (AOR, 0.72; 95 % CI, 0.56-0.93) compared to "Average Sleepers", while "Poor Sleepers" showed an increased risk of OWO (AOR, 1.36; 95 % CI, 1.11-1.67). CONCLUSIONS: These findings highlight that improving multiple sleep characteristics simultaneously is a promising option to prevent and intervene childhood obesity.

Profiles of teachers' emotional labour during COVID-19 and the consequences on mental health: A comparison between online and offline teaching.

BACKGROUND: Despite increasing attention on emotional labor in teacher well-being research, person-centered studies are relatively scarce, particularly concerning the emotional labor of online teaching during COVID-19 and its effects on teachers' non-work-related mental health. OBJECTIVE: This study aims to address these gaps by examining emotional labor profiles and their consequences on job satisfaction, depression, and anxiety among Chinese teachers involved in either online or offline teaching during October-December 2022. METHODS: Two samples of teachers were analyzed altogether: one engaged in online teaching (N=605) and the other in offline teaching (N=394). Latent profile analysis was used to identify emotional labor profiles based on three strategies: surface acting, deep acting, and expression of naturally felt emotions. RESULTS: A total of four subgroups of emotional workers were identified: natural expressors, actors, flexible regulators, and authentic regulators. Significant differences were found between online and offline teaching, with a higher proportion of actors and fewer flexible regulators in the online condition, suggesting that the screen acts as a barrier to authentic emotional display. Among the four classes, actors scored lowest on job satisfaction and highest on depression and anxiety, whereas authentic regulators were the most adaptive, especially in online settings. CONCLUSIONS: The findings highlight the impact of online teaching on teachers' emotional labor profiles and mental health, with practical implications for optimizing online teaching environments and supporting teacher well-being.

Health Risk Behaviors of Adolescents in Europe: A Latent Profile Analysis of Health Behavior in School-Aged Children Survey Data From 43 Countries.

PURPOSE: Current literature on prevention and intervention programs for European adolescents who engage in health risk behaviors is limited. Few studies have utilized latent profile analysis methods and internationally comparative data on adolescents and their health risk behaviors, highlighting the need for more comprehensive research using internationally comparative data. The current study aimed to examine the health risk behavior profiles and identify subgroups of adolescents with similar patterns of health risk behaviors using a representative sample of European countries. Findings will inform better targeted prevention strategies for this population. METHODS: The study used a quantitative approach and implemented secondary data analysis using the Health Behavior in School-Aged Children survey 2017/2018 from 43 European countries to understand the prevalence of health risk behaviors among European adolescents and yield latent profiles regarding their health risk behaviors by sex. RESULTS: Five latent profiles of health risk behaviors were identified for boys and six for girls. For both boys and girls, low-risk (83.4% and 85.7%), poor lifestyle, smoking (6.2% and 5.1%), balanced lifestyle, aggressive acts (5.4% and 3.7%), poor lifestyle, high substance use (2% and 1%), moderate lifestyle, and moderate substance use (3% and 0.9%) were common profiles. A moderate lifestyle and low substance use profile (3.6%) was only specific to girls. DISCUSSION: The current study provides important insights regarding European adolescents' health risk behaviors. The findings suggest the need for better targeted prevention programming.

Latent profile analysis of transdiagnostic emotional distress, suicidality, and resilience in first responders.

BACKGROUND: First responders (i.e., law enforcement officers, firefighters, and emergency medical technicians/paramedics), experience significantly higher occupational trauma exposure than U.S. adult workers outside these fields, leading to increased risks of comorbid mental health disorders. Repeated and intense trauma exposure may combine with personal factors to place them at higher risk for suicide. Conversely, first responders may show higher levels of psychological resilience in the face of occupational trauma experiences. Some research exists on resilience, though little is known about suicide resilience in first responder populations. METHODS: We used latent profile analysis (LPA) on a treatment-seeking sample of first responders (N = 340) with measures of posttraumatic stress disorder (PTSD), generalized anxiety, depression, suicidality, and resilience. RESULTS: We determined the best fit was a five-class solution, including the following emotional distress categories: minimal (19 %), mild (33 %), moderate (8 %), moderately severe (27 %), and severe (13 %) emotional distress. In this study, all multivariate analyses of variance (MANOVAs) were statistically significant and had large effect sizes ranging from the lowest (resilience) to the largest (depression). LIMITATIONS: We used self-report assessments and not a clinical interview. Also, we did not have data on measures of substance use, emotional dysregulation (e.g., attachment), or trauma exposure. CONCLUSIONS: This study underscores the critical need for developing and implementing transdiagnostic interventions that not only address the spectrum of emotional distress and suicidality but also actively enhance resilience among treatment-seeking first responders.

Association of Plastic Exposure with Cognitive Function Among Chinese Older Adults.

Background: The widespread exposure to plastic products and the increasing number of individuals with cognitive impairments have imposed a heavy burden on society. Objective: This study aims to investigate the relationship between plastic product exposure in daily life and cognitive function in older Chinese individuals. Methods: Data were obtained from the 2023 Ningxia Older Psychological Health Cohort, comprising 4045 participants aged 60 and above. Cognitive function was assessed using the Mini-Mental State Examination scale. A population-based plastic exposure questionnaire was used to calculate plastic exposure scores (PES). Binary logistic regression was employed to analyze the relationship between PES and cognitive function, while restricted cubic splines were used to examine the dose-response relationship between PES and cognitive function. Latent profile analysis (LPA) was employed to explore the potential patterns of plastic exposure, and logistic regression was used to investigate the relationship between different exposure patterns and cognitive function. A linear regression model was utilized to investigate the relationship between PES and different dimensions of cognitive function. Results: Among the 4045 participants, 1915 individuals were assessed with mild cognitive impairment (MCI). After adjusting for all covariates, PES (OR = 1.04, 95% CI 1.02-1.06) was significantly associated with the risk of MCI and exhibited a dose-response relationship. LPA identified two potential categories of plastic exposure, with a higher risk of MCI observed in the group using plastic utensils. Conclusions: This study indicates a positive correlation between plastic exposure levels and MCI risk, particularly among individuals who frequently use plastic tableware.

(Fire)fighting the pandemic: PTSD and depression symptom profiles and longitudinal correlates.

Background: Firefighters face regular exposure to potentially traumatic events, which is associated with the development of post-traumatic stress disorder (PTSD) and depression. Despite the high comorbidity, there remains limited understanding of the co-occurrence of PTSD and depression in terms of symptom patterns. Due to the unique stressors added by the COVID-19 pandemic, it is relevant to also understand this comorbidity in light of the impact of the COVID-19 pandemic.Objective: This study aimed to identify PTSD and depression symptom profiles in firefighters, and correlates thereof, using latent profile analysis (LPA).Method: 139 Dutch Firefighters (93% male) completed self-report surveys prior to the COVID-19 pandemic (T1) and after the outbreak COVID-19 pandemic (T2) on PTSD, depression, COVID-19 related stressors and other relevant correlates.Results: LPA demonstrated the best fit for a three-profile solution for PTSD and depression at T2 encompassing a low symptom profile (35%), a moderate symptom profile (46%), and an elevated symptom profile (19%). Profiles displayed mostly below clinical range scores for both PTSD and depression at T2. PTSD severity at T1, depression severity at T1, loneliness at T2, COVID-19-related stressors at T2 were significantly and positively related to PTSD and depression symptom profiles at T2.Conclusion: Our results shed light on the resilience of firefighters. Even in light of COVID-19 pandemic, firefighters seemed to maintain generally low levels of psychopathology. Despite firefighters' overall resilience, our findings highlight loneliness and the negative impact of the COVID-19 pandemic as potential risk factors for increased severity of PTSD and depression symptoms.

Three symptom profiles of PTSD and depression emerged in a sample of Dutch firefighters.Firefighters displayed mostly below clinical threshold PTSD and depression levels, emphasizing their resilience.Loneliness and COVID-19 stressors were identified as potential risk factors for PTSD and depression symptoms in firefighters.

High sensitivity groups with distinct personality patterns: a person-centered perspective.

Introduction: Sensory-processing sensitivity (SPS) refers to interindividual differences in sensitivity to positive and negative environmental stimuli and reflects the concept of differential susceptibility. The Highly Sensitive Person Scale (HSPS) has been utilized to capture the multifaceted experiences of highly sensitive individuals. The scale's total score (i.e., the sum of the subfactors) is an indicator of high sensitivity. However, it cannot differentiate between the contributions of the specific subfactors. Consequently, interpreting the total score cannot help resolve the current theoretical debate about how individuals integrate the positive and negative aspects of sensitivity, whereas a multidimensional profile should be able to offer a more comprehensive understanding. Intriguingly, in variable-centered research, the subfactors' differential associations with external constructs in negative or positive trait spaces have suggested heterogeneity (i.e., interindividual differences) among highly sensitive individuals. Thus, person-centered approaches should be better suited to address this heterogeneity. Methods: To explore heterogeneity within the highly sensitive population, we conducted a three-step Latent Profile Analysis in two independent German-speaking samples (N = 1,102; N = 526). Subsequently, we employed the Five-Factor Model of personality to provide a detailed description of the latent sensitivity groups. Results: Beyond the frequently identified quantitative three-class differentiation of sensitivity groups, we obtained a four-class model that included two qualitatively different high-sensitivity groups, each displaying distinct HSPS subfactor and personality patterns that corresponded to prototypical personality profiles. Within these high sensitivity groups, (i) the Confident Sensitivity Group exhibited average Neuroticism, significantly above-average Openness, and slightly above-average Extraversion. By contrast, (ii) the Vulnerable Sensitivity Group displayed the typical personality pattern of significantly above-average Neuroticism, below-average Extraversion, and slightly above-average Openness. Personality analyses revealed that features such as passiveness, internalizing tendencies, giftedness, and aesthetics, often commonly ascribed to all highly sensitive individuals, are features that differ across distinct sensitivity groups. Discussion: To avoid over- or underestimating sensitivity effects, future research should consider these interindividual differences in highly sensitive individuals. For instance, studies could focus on the different associations of sensitivity groups with abilities, health aspects, emotion regulation and intervention outcomes, taking into account the different environmental factors that shape the type of sensitivity.

Perceived Social Support and Health-Related Quality of Life Among Hypertensive Patients: A Latent Profile Analysis and the Role of Delay Discounting and Living Alone.

Background: Improving health-related quality of life (HRQoL) among hypertensive individuals has emerged as a significant public health issue. However, current research has ignored the individual heterogeneity of perceived social support (PSS) among hypertensive patients. The potential mechanism of delay discounting (DD), living alone, and PSS on HRQoL remains unclear, and further exploration is required. Aim: This study aimed to ascertain PSS profiles among hypertensive patients and examine the hypotheses that DD mediates the relationship between PSS and HRQoL and that this mediating process is moderated by living alone in hypertensive patients. Methods: A cross-sectional study was carried out in Jiangsu, China. In total, 1815 hypertensive patients completed socio-demographic and HRQoL questionnaires, a PSS scale, and a DD task. Data analyses included a latent profile analysis, χ2-test, Spearman correlation analysis, and PROCESS macro for regression analysis. Results: Four potential PSS profiles were identified: lowest (3.2%), moderate-low (26.6%), moderate-high (42.4%), and highest (27.8%). DD mediated the association between PSS and HRQoL. The first half of this mediating process was moderated by living alone. Conclusion: Our findings indicated that PSS, DD, and living alone significantly influence the HRQoL of individuals with hypertension. Healthcare professionals should consider variations in PSS among hypertensive patients and implement interventions to reduce DD by enhancing PSS, in order to improve the HRQoL of this population.

How are illness representations of gambling disorder associated with gambling behaviors? A latent profile analysis.

Gambling disorder (GD) is a behavioral addiction that causes serious harm to individuals' mental health and social functioning. This study aimed to explore whether gamblers' illness representations (IR) for GD are related to disordered and/or controlled patterns of gambling under the framework of commonsense model of self-regulation (CSM). Based on CSM, different facets of IR do not exist in isolation but together form a total illness schema; we hence used a person-centered analysis method, latent profile analysis (LPA), to classify gamblers by their overall IR for GD (including consequences, personal and treatment control, timeline cyclical, emotional representations, and coherence) into groups and then tested whether these groups differed in GD symptoms, controlled gambling behaviors, and help-seeking intention. An anonymous online survey was conducted on a social media platform, and valid responses from 589 past-year adult gamblers were collected. LPA results supported a four-profile model, revealing four profiles of GD representations: the weak-perception profile, average profile, tensed-up profile, and rational profile. Significant differences were found in all outcome variables in these four profile groups. In particular, the rational group exhibited the lowest levels of GD symptoms and impaired behavioral control, the highest levels of responsible and controlled gambling, and the highest levels of help-seeking intention, whereas the weak-perception group reported the lowest levels of responsible and controlled gambling behaviors. The findings provide empirical support for the application of CSM to addictive behaviors, as well as preliminary evidence for the potential use of CSM-based interventions for GD prevention.

A latent profile analysis of relationship satisfaction and self-regulation among low-income participants who attended relationship education with a partner.

Relationship education has shown promising effects for low-income couples on outcomes such as promoting positive communication, improving global relationship satisfaction, parenting, and individual psychological distress. Studies also indicate that couples' baseline distress (e.g., relational and individual) moderates outcomes. Yet, few studies implemented a person-centered approach to analyzing data for those who participate in relationship education. In a sample of 488 low-income opposite-gendered couples, we identified latent profile groups for men and women based on self-reported relationship satisfaction and behavioral self-regulation scores, thus incorporating both relational and individual factors. Results yielded a three-class solution for men and a four-class solution for women. We then examined group profile differences in individual psychological distress and relationship satisfaction change scores after completing the relationship education intervention (12 h of PREP's Within Our Reach). Results indicated significant differences, suggesting that group membership can predict overall improvements in both psychological and relationship distress. Thus, RE programmers and policymakers may consider flexible delivery (e.g., more or less content; more or less intense coaching) that considers overall baseline relational and/or individual functioning as opposed to a one-size-fits-all method.

Psychosocial impact of dental aesthetics in adolescent : an evaluation of a latent profile and its associated risk factors.

BACKGROUND: The psychosocial impact of dental aesthetics (PIDA) has a significant effect on well-being and quality of life. This study aimed to explore the latent heterogeneous classes of the PIDA among adolescents and investigate the relationships among identified subtypes and sociodemographic variables, the status of left-behind children, and the clinical manifestations of malocclusion. METHODS: A cross-sectional study on the PIDA among 1451 adolescents aged 11 to 12 years in elementary schools in a rural area in Guangxi, China, was conducted. The PIDA on adolescents was also investigated via latent profile analysis; each predictor was tested via ordinal logistic regression. RESULTS: Three latent classes for the PIDA were identified: low-risk (48.2%), medium-risk (39.8%), and high-risk (11.9%) groups. There were significant differences among the three latent classes. The results revealed that being female, The duration of maternal employment outside the hometown, the largest anterior maxillary irregularity, the largest anterior mandibular irregularity, and the antero-posterior molar relationship (ORs of 1.737, 1.138, 1.117, 1.157, and OR = 1.242; P < 0.001, < 0.01, < 0.01, < 0.01 and < 0.05, respectively) had significant effects on the PIDA on adolescents. CONCLUSIONS: The occlusal features, being female and the duration of maternal employment outside the hometown are risk factors that influence the PIDA on adolescents. This provides an evidence for improving the PIDA status among rural adolescents.

Depression, anxiety, and stress in young adult gamers and their relationship with addictive behaviors: A latent profile analysis.

BACKGROUND: There is limited research examining latent profiles of gamers based on emotional variables, which has implications for prevention efforts. The study sought to identify young adult gamer profiles based on depression, anxiety, and stress, and to examine differences between the latent profiles in other addictive behaviors (i.e., tobacco, alcohol, cannabis, illegal substance use, gaming, and gambling). METHODS: A total of 1209 young adults (Mage = 19.37, SD = 1.62; 55.3%males) reported past-year gaming. A latent profile analysis (LPA) was performed to identify distinct profiles, and a set of ANOVA and chi-square analyses characterized the profiles in terms of sociodemographic, addictive behaviors, and emotional variables. RESULTS: LPA suggested a three-profile solution: profile 1 (n = 660, 'low emotional distress'), profile 2 (n = 377, 'moderate emotional distress'), and profile 3 (n = 172, 'high emotional distress'). Participants with 'moderate' and 'high emotional distress' were mostly women, showed greater gaming severity, higher prevalence of past-month substance use (i.e., tobacco and illegal drugs), and greater consequences of alcohol use. LIMITATIONS: The cross-sectional nature of the study and sample being university students. CONCLUSION: Findings revealed three distinct profiles of gamers, which differed in emotional, gaming, and substance use severity. Transdiagnostic prevention programs have the potential to provide significant benefits to college students by addressing the core processes (e.g., emotion regulation) that underlie substance use and gaming.

Dyadic coping and related factors among couples with colorectal cancer: A latent profile analysis.

Objective: This study aimed to identify latent subgroups of dyadic coping (DC) among colorectal cancer (CRC) patients and their spousal caregivers, and to explore the factors associated with these subgroups. Methods: We conducted a cross-sectional study involving 268 pairs of CRC patients and their spousal caregivers. Participants completed the General Information Questionnaire, the Dyadic Coping Inventory, the Cancer-Related Communication Problems Scale, and the Fear of Progress Questionnaire-Short Form. Latent profile analysis (LPA) of DC among CRC couples was performed using Mplus 8.3. We compared couple illness communication, fear of cancer recurrence (FCR), and demographic characteristics between the identified subgroups and conducted ordinal logistic regression analysis to examine factors associated with these subgroups. Results: The 268 pairs of CRC patients and their spousal caregivers were classified into four subgroups based on their coping levels: low-DC group (12.3%), low common-DC group (7.1%), moderate-DC group (52.6%), and high-DC group (28.0%). Disease stage, couple illness communication, and spouse's FCR were significantly associated with the four subgroups. Conclusions: There is considerable variability in DC levels among CRC patients and their spousal caregivers. Patients with advanced disease stages, inadequate communication between spouses, and severe RCR exhibit lower levels of DC. These findings provide a theoretical basis for nursing personnel to develop personalized intervention strategies tailored to the characteristics of these subgroups.

The heterogeneity of insomnia symptoms for emerging workers in the digital economy: Latent profile and network analysis.

Although insomnia symptoms is a common public health issue, few studies pay attention to insomnia symptoms among emerging workers in the digital economy. In this study, a total of 1093 emerging workers were recruited. Latent profile analysis was used to investigate the heterogeneity profiles and the relationship between job characteristics and these profiles. Additionally, core symptoms of insomnia were explored through network analysis. Latent profile analysis identified four insomnia profiles: severe insomnia without daytime dysfunction (8.8%), good sleepers (39.6%), mild insomnia (41.7%), and moderate to severe insomnia (9.9%). Job characteristics (e.g. daily working duration, intensity, and performance measurement system) significantly affected the profiles. Network analysis revealed that four profiles had similar network structures, but the edge and strength were varied. The implication for preventing and intervening insomnia symptoms for emerging workers in the digital economy has been discussed.

Association between Dietary Patterns and Cardiometabolic Multimorbidity among Chinese Rural Older Adults.

BACKGROUND: The global population is aging rapidly, leading to an increase in the prevalence of cardiometabolic multimorbidity (CMM). This study aims to investigate the association between dietary patterns and CMM among Chinese rural older adults. METHODS: The sample was selected using a multi-stage cluster random sampling method and a total of 3331 rural older adults were ultimately included. Multivariate logistic regression analysis was used to examine the association between the latent dietary patterns and CMM. RESULTS: The prevalence of CMM among rural older adults was 44.64%. This study identified four potential categories: "Low Consumption of All Foods Dietary Pattern (C1)", "High Dairy, Egg, and Red Meat Consumption, Low Vegetable and High-Salt Consumption Dietary Pattern (C2)", "High Egg, Vegetable, and Grain Consumption, Low Dairy and White Meat Consumption Dietary Pattern (C3)" and "High Meat and Fish Consumption, Low Dairy and High-Salt Consumption Dietary Pattern (C4)". Individuals with a C3 dietary pattern (OR, 0.80; 95% CI, 0.66-0.98; p = 0.028) and a C4 dietary pattern (OR, 0.70; 95% CI, 0.51-0.97; p = 0.034) significantly reduced the prevalence of CMM compared with the C1 dietary pattern. CONCLUSIONS: Rural older adults have diverse dietary patterns, and healthy dietary patterns may reduce the risk of CMM.

Longitudinal relationship between pre-exposure prophylaxis motivation and change in adherence among men who have sex with men in Western China.

INTRODUCTION: The efficacy of pre-exposure prophylaxis (PrEP) is highly dependent on adherence, and adherence behavior is influenced by motivation. The aim of this study was to explore the longitudinal relationship between PrEP motivation and change in adherence among men who have sex with men (MSM) in Western China. METHODS: From November 2019 to June 2021, we conducted a PrEP prospective cohort study. Motivation to take medicine was measured by the PrEP Motivation Scale at baseline, and was grouped into different levels of latent categories by Latent Profile Analysis (LPA). A multinomial logistic regression model was used to explore the longitudinal relationship between change in adherence (improvement, decline, no change) and different levels of PrEP motivation. RESULTS: MSM were divided into two categories of PrEP motivation, a "high motivation group" (n = 506, 69.89%) and a "low motivation group" (n = 218, 30.11%). High PrEP motivation had no significant effect on the change in short-term adherence, however, it contributed to the improvement in long-term adherence [odds ratio (OR) = 3.028 (1.100-8.332), p = 0.031]. The predictive power of the adherence model was significantly enhanced with the addition of the PrEP motivation factor. CONCLUSIONS: There was a positive correlation between high PrEP motivation at baseline and an improvement in long-term adherence. Surveillance and intervention of PrEP motivation in MSM can increase their adherence, and then promote PrEP efficacy.