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.

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.

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.

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.

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 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.

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.

Coping among South Asian individuals living with chronic illnesses: A latent profile analysis.

Individuals' coping differs based on sociocultural determinants and the nature of illness. This study developed a coping typology for South Asians with chronic illnesses and differentiated the coping profiles based on sociocultural determinants. Individuals (n = 384) with chronic illness were recruited. The Brief COPE scale was used for data collection and latent profile analysis for typology development. The class differences were examined in terms of age, gender, socioeconomic status, education, type of family, smoking, primary decision maker in the family, type of community, number of years living with chronic illness and type of health care services used. Latent profile analysis supported four class model: Avoider-Emotion (n = 34, 9%), Problem-Emotion (n = 128, 33.9%), Problem-Avoider (n = 55, 14.6%) and Emotion-Avoider (n = 161, 42.6%) copers. Comparison of classes across chronic illness showed that individuals with chronic respiratory disorders were Emotion-Avoider and Avoider-Emotion copers, those with cardiac problems were Problem-Emotional and Problem-Avoiders copers, those with renal problems were Emotional-Avoiders and Problem-Emotions copers, and individuals with mental health issues were mainly Problem-Emotional and Emotion-Avoider copers. These class differences were statistically different (χ2 = 134, df = 18, p < .001). The findings can be useful for developing coping programmes for South Asian populations in low- and middle-income countries and South Asian immigrants.

Social determinants of health and their relation to suboptimal health status in the context of 3PM: a latent profile analysis.

Background: Suboptimal health is identified as a reversible phase occurring before chronic diseases manifest, emphasizing the significance of early detection and intervention in predictive, preventive, and personalized medicine (PPPM/3PM). While the biological and genetic factors associated with suboptimal health have received considerable attention, the influence of social determinants of health (SDH) remains relatively understudied. By comprehensively understanding the SDH influencing suboptimal health, healthcare providers can tailor interventions to address individual needs, improving health outcomes and facilitating the transition to optimal well-being. This study aimed to identify distinct profiles within SDH indicators and examine their association with suboptimal health status. Method: This cross-sectional study was conducted from June 16 to September 23, 2023, in five regions of China. Various SDH indicators, such as family health, economic status, eHealth literacy, mental disorder, social support, health behavior, and sleep quality, were examined in this study. Latent profile analysis was employed to identify distinct profiles based on these SDH indicators. Logistic regression analysis by profile was used to investigate the association between these profiles and suboptimal health status. Results: The analysis included 4918 individuals. Latent profile analysis revealed three distinct profiles (prevalence): the Adversely Burdened Vulnerability Group (37.6%), the Adversity-Driven Struggle Group (11.7%), and the Advantaged Resilience Group (50.7%). These profiles exhibited significant differences in suboptimal health status (p < 0.001). The Adversely Burdened Vulnerability Group had the highest risk of suboptimal health, followed by the Adversity-Driven Struggle Group, while the Advantaged Resilience Group had the lowest risk. Conclusions and relevance: Distinct profiles based on SDH indicators are associated with suboptimal health status. Healthcare providers should integrate SDH assessment into routine clinical practice to customize interventions and address specific needs. This study reveals that the group with the highest risk of suboptimal health stands out as the youngest among all the groups, underscoring the critical importance of early intervention and targeted prevention strategies within the framework of 3PM. Tailored interventions for the Adversely Burdened Vulnerability Group should focus on economic opportunities, healthcare access, healthy food options, and social support. Leveraging their higher eHealth literacy and resourcefulness, interventions empower the Adversity-Driven Struggle Group. By addressing healthcare utilization, substance use, and social support, targeted interventions effectively reduce suboptimal health risks and improve well-being in vulnerable populations. Supplementary Information: The online version contains supplementary material available at 10.1007/s13167-024-00365-5.

A latent profile analysis of psychosocial adjustment in patients with enterostomy after rectal cancer surgery.

PURPOSE: The aim of this study was to improve the level of psychosocial adjustment and quality of life of patients with enterostomy by analyzing the subgroups of psychosocial adjustment and its influencing factors. METHODS: This was a multi-center cross-sectional study. On the basis of investigating the level of psychosocial adjustment of enterostomy patients, a profile model of psychosocial adjustment of patients with enterostomy was established by using latent profile analysis. Univariate analysis and multinomial logistical regression were used to analyze the factors affecting the different psychosocial adjustment subgroups of enterostomy patients. RESULTS: Psychosocial adjustment of 3840 patients with enterostomy can be divided into three latent characteristics: Moderately high psychosocial adjustment level and high positive emotion in enterostomy patients (24.5%), Medium psychosocial but low social life adjustment (64.6%), low psychosocial adjustment level and high negative emotion (10.9%). Multinomial logistic regression showed that enterostomy self-care knowledge score, gender, medical payment method, educational background, carer, and self-care ability were affecting the subgroup classification of psychosocial adjustment of enterostomy patients. CONCLUSION: The psychosocial adjustment level of enterostomy patients can be divided into three latent profiles, which have obvious classification characteristics. Future studies can provide individualized interventions for different subgroups of enterostomy patients to improve the psychosocial adjustment of enterostomy patients.

Middle school students' psychological health on suicide ideation: based on latent profile analysis.

Introduction: This study identifies potential categories of mental health for adolescents in different school years and further analyzes the relationship between these categories and suicidal ideation. Methods: A total of 1944 middle school students completed SCL-90 and Self-rating Idea of Suicide Scale on November 29, 2022, selecting via a whole-group sampling method. Latent profile analysis was used to analyze the psychological health subtypes of students from a middle school in Southwest China. The R3step method and the DU3step method were conducted to analyze the predictive role of demographic variables and the effects of different profiles on suicidal ideation. Results: Different potential categories of psychological health were observed among middle school students. Junior middle school students can be classified into three types: Psychological Health Type (62.3%), Low-risk Type (27.1%) and High-risk Type (10.7%). Senior middle school students can be classified into four types: Psychological Health Type (43.3%), Low-risk Type (33.9%), Medium -risk Type (16.8%), and High-risk Type (6.0%). Gender and subjective family atmosphere are predictors of psychological health, and they also influence the population distribution of psychological health patterns in different sections of middle school students. Girls and students with poor subjective family atmosphere are more prone to experiencing psychological problems. There were significant differences in suicidal ideation among different potential categories of psychological health of different sections middle school students (χ 2 = 1178.71, 1174.85, p<0.001). Among senior high school students classified as High-risk Type, they exhibited the highest score for suicidal ideation. Conclusion: There is obvious group heterogeneity in psychological health of different sections middle school students. Older students are more likely to have suicidal thoughts.

Association between non-restorative sleep and psychotic-like experiences among Chinese college students: A latent profile and moderated mediation analysis.

BACKGROUND: Non-restorative sleep (NRS) is a core symptom of insomnia that has considerable consequences for daily life. However, the association between NRS and psychotic-like experiences (PLEs) remains unclear. The current study was designed to explore the relationship between NRS and PLEs as well as the mediation/moderation role of rumination and resilience among college students in China. METHODS: 3060 college students were recruited from two universities in South China from September 21st to October 26th, 2022. Non-restorative Sleep Scale, 8-item Positive Subscale of the Community Assessment of Psychic Experiences, Ruminative Response Scale, and 10-item Connor-Davidson Resilience Scale were administered. Latent profile analysis and moderated mediation analysis were performed. RESULTS: 11.3 % participants reported frequent PLEs in the past one month. Three profiles of rumination were identified and named as "low rumination" group (27.7 %), "medium rumination" group (55.3 %), and "high rumination" group (16.9 %). NRS directly predicted PLEs, and rumination played a significant mediation role between NRS and PLEs. Resilience significantly moderated the association between NRS and rumination as well as the association between NRS and PLEs. CONCLUSIONS: NRS, rumination and resilience are important predictors to PLEs. Strategies on increasing restorative sleep, decreasing rumination, and enhancing resilience are of great significance in the prevention of PLEs.

Study on the Impact of Dietary Patterns on Cardiovascular Metabolic Comorbidities among Adults.

Background: The prevalence of cardiovascular metabolic comorbidities (CMM) among adults is relatively high, imposing a heavy burden on individuals, families, and society. Dietary patterns play a significant role in the occurrence and development of CMM. This study aimed to identify the combined types of CMM in adult populations and investigate the impact of dietary patterns on CMM. Methods: Participants in this study were from the sixth wave of the China Health and Nutrition Survey (CHNS). Dietary intake was assessed using a three-day 24-hour dietary recall method among 4,963 participants. Latent profile analysis was used to determine dietary pattern types. Two-step cluster analysis was performed to identify the combined types of CMM based on the participants' conditions of hyperuricemia, dyslipidemia, diabetes, renal dysfunction, hypertension, and stroke. Logistic regression analysis with robust standard errors was used to determine the impact of dietary patterns on CMM. Results: Participants were clustered into three dietary patterns (Pattern 1 to 3) and five CMM types (Class I to V). Class I combined six diseases, with a low proportion of diabetes. Class II also combined six diseases but with a high proportion of diabetes. Class III combined four diseases, with a high proportion of hypertension. Class IV combined three diseases, with the highest proportions of hyperuricemia, diabetes, and renal dysfunction. Class V combined two diseases, with high proportions of dyslipidemia and renal dysfunction. Patients with Class III CMM had a significantly higher average age than the other four classes (P ≤ 0.05). Compared to those with isolated dyslipidemia, individuals with a low-grain, high-fruit, milk, and egg (LCHFM) dietary pattern had a higher risk of developing dyslipidemia combined with renal dysfunction (Class V CMM) with an odds ratio of 2.001 (95% CI 1.011-3.960, P≤ 0.05). Conclusion: For individuals with isolated dyslipidemia, avoiding a low-grain, high-fruit, milk, and egg (LCHFM) dietary pattern may help reduce the risk of developing dyslipidemia combined with renal dysfunction (Class V CMM).

Pregnant Women's Dyadic Coping and Associated Factors: A Cross-Sectional Study Utilizing Latent Profile Analysis.

Background: The problem of maternal mental health is a priority issue of global concern. Dyadic coping refers to the co-managing and making decisions between two parties in response to a joint stressful event. At present, china has limited focus on dyadic coping for pregnant women during pregnancy. This study aimed to investigate different categories and characteristics of dyadic coping in pregnant women throughout pregnancy and to analyze the factors that influence these categories. Methods: This study was a cross-sectional, and 376 pregnant women who visited the obstetric clinic at a tertiary hospital in Sichuan province from June to September 2023 were interviewed face-to-face using convenience sampling. Data were collected using a sociodemographic questionnaire, dyadic coping scale, and family adaptability and cohesion evaluation scale. The data were imported into excel and exported to spss 27.0 to analyze the potential characteristics of pregnant women's dyadic coping during pregnancy and to explore the effects of this using univariate analysis and multifactorial logistic regression. Results: A total of 376 valid questionnaires were collected. The results of the potential profile analysis showed that the dyadic coping of pregnant women during pregnancy could be categorized into three different groups: the "low coping group" (21.3%), the "general coping group" (67.5%), and the "high coping group" (11.2%). Multiple logistic regression analyses revealed that low monthly family income, early pregnancy, primipara, family adaptability and cohesion were the factors influencing the dyadic coping of pregnant women during pregnancy. Conclusion: During pregnancy, pregnant women exhibit moderate levels of dyadic coping. Three different categories of dyadic coping patterns were exhibited: low coping group, general coping group, and high coping group, with significant heterogeneity. Therefore, there is a need to focus on the dyadic coping status of various categories of pregnant women and implement targeted couple and family-wide interventions.

Parenting in African American families: Profiles of general and culturally specific dimensions of parent-adolescent relationships during late adolescence.

Developmental and parenting frameworks suggest that factors at the individual-level and multiple levels of adolescents' contexts are important determinants of how African American parents prepare their children to live in a racially stratified society. Using a person-centered approach, this study explored heterogeneity in profiles of African American parent-adolescent relationships (PARs) using indicators of parent-reported ethnic-racial socialization (cultural socialization, preparation for bias), general parenting practices (autonomy support, monitoring, behavioral control), and relationship quality (warmth, communication, conflict). We also examined how adolescents' characteristics, parents' personal and psychological resources, and contextual sources of stress and support contributed to profile membership. Data were from the Maryland Adolescent Development in Context Study (1991-2000) and consisted of 589 African American caregiver-adolescent dyads (caregivers: 89% female; 57.2% married; adolescents: 50.7% female; Mage = 17, SD = 0.64, range = 15-19 years old). Latent profile analysis revealed four profiles: (a) No-Nonsense High Socializers, (b) Indulgent Average Socializers, (c) Unengaged Silent Socializers, and (d) Authoritative Cultural Socializers. Adolescent characteristics (gender, depression, and problem behavior), parents' personal and psychological resources (parenting self-efficacy, centrality, private regard, and depression), and contextual sources of stress and support (stress: economic hardship, family stress, neighborhood disadvantage and support: marital status, family cohesion, family organization) were correlated with profile membership. Findings suggest that variability in African American PARs is shaped by an extensive set of individual and contextual factors related to adolescents and the family and neighborhood context. These findings have important implications for future research and how to target multiple potential levers for change in African American parenting practice.

Care needs for urinary incontinence in older adults: Latent profile analysis.

AIM: This study utilized latent profile analysis to investigate care needs subgroups among older adults with urinary incontinence. METHODS: The "Elderly Urinary Incontinence Care Needs Inventory" surveyed 510 participants in two Guangzhou City hospitals from July 2022 to June 2023. Latent profile analysis created a classification model, and variance and correlation analysis assessed influencing factors. RESULTS: A total of 510 older adults with urinary incontinence participated. The standardized total care needs score was 78.77 ± 5.03, with variations across dimensions: social participation needs scored (71.16 ± 10.32), daily life care needs (78.80 ± 5.51), medical care needs (77.33 ± 12.17), psychological comfort needs (76.97 ± 6.51) and health education needs scored highest (82.67 ± 6.77). Three distinct profiles emerged: "medium," "high SPN-PCN" and "high DLCN-MCN-HEN". The majority belonged to the "high SPN-PCN" profile. Significant correlations were found with age, education, leaks and frequency of micturitions. CONCLUSION: Research findings showed the existence of three distinct categories, with a notable majority of participants belonging to the "high SPN-PCN" group. The significance of having these classes identified lies in the move away from a one-size-fits-all approach to a more nuanced understanding of care needs. Customized nursing interventions can be devised based on specific factors, such as age, education level, urinary incontinence-related symptoms and potential category. For instance, for the "high SPN-PCN" group, our nursing strategy can encompass heightened psychological support and expanded opportunities for social engagement.Furthermore, in the training and education of healthcare professionals, recognizing and meeting the needs of each potential category of older adults might require more attention. Geriatr Gerontol Int 2024; ••: ••-••.

Potential profiling of self-management skills in older co-morbid patients.

BACKGROUND: Under the general trend of global aging, geriatric comorbidity is increasingly common, which may have some impact on the quality of life of the older people. Self-management can effectively improve patient compliance, subjective initiative, and improve patient quality of life. However, the present situation of self-management in different old people is different. Therefore, this study classifies older co-morbid patients through potential profiling analysis, understands the category characteristics of self-management level of older co-morbid patients, and discusses the influencing factors of self-management level of different categories of older co-morbid patients, which can provide reference for personalized intervention programs for different comorbidity characteristics of elderly people in the future.  METHOD: Through a cross-sectional study, 616 cases of older co-morbid patients in three districts of Zhengzhou City, Henan Province, were selected as survey subjects by using the whole cluster sampling method. The General Information Questionnaire, Chronic Disease Self-Management Scale, Health Literacy Scale, Electronic Health Literacy Scale, Collaborative Social Support Scale, and Health Empowerment Scale were used to conduct the survey. RESULTS: The result of LPA shows that the self-management characteristics of older co-morbid patients should be classified into 3 categories: good self-management (19.4%), medium self-management(27.9%), and low self-management (52.7%). The results of multivariate logistic regression analyses show that literacy, religiosity, health literacy, e-health literacy, appreciative social support, and health empowerment are influential factors for self-management among older co-morbid patients (p < 0.05). CONCLUSION: There is obvious heterogeneity in the self-management level of older co-morbid patients. It is recommended that healthcare professionals give targeted interventions for their weaknesses according to the self-management characteristics of different categories of patients in order to enhance the self-management level of this population and improve their quality of life.

Health impacts of lifestyle and ambient air pollution patterns on all-cause mortality: a UK Biobank cohort study.

BACKGROUND: Extensive evidence indicates that both lifestyle factors and air pollution are strongly associated with all-cause mortality. However, little studies in this field have integrated these two factors in order to examine their relationship with mortality and explore potential interactions. METHODS: A cohort of 271,075 participants from the UK Biobank underwent analysis. Lifestyles in terms of five modifiable factors, namely smoking, alcohol consumption, physical activity, diet, and sleep quality, were classified as unhealthy (0-1 score), general (2-3 score), and healthy (4-5 score). Air pollution, including particle matter with a diameter ≤ 2.5 µm (PM2.5), particulate matter with a diameter ≤ 10 µm (PM10), particulate matter with a diameter 2.5-10 µm (PM2.5-10), nitrogen dioxide (NO2), and nitrogen oxides (NOx), was divided into three levels (high, moderate, and low) using Latent Profile Analysis (LPA). Cox proportional hazard regression analysis was performed to examine the links between lifestyle, air pollution, and all-cause mortality before and after adjustment for potential confounders. Restricted cubic spline curves featuring three knots were incorporated to determine nonlinear relationships. The robustness of the findings was assessed via subgroup and sensitivity analyses. RESULTS: With unhealthy lifestyles have a significantly enhanced risk of death compared to people with general lifestyles (HR = 1.315, 95% CI, 1.277-1.355), while people with healthy lifestyles have a significantly lower risk of death (HR = 0.821, 95% CI, 0.785-0.858). Notably, the difference in risk between moderate air pollution and mortality risk remained insignificant (HR = 0.993, 95% CI, 0.945-1.044). High air pollution, on the other hand, was independently linked to increased mortality risk as compared to low air pollution (HR = 1.162, 95% CI, 1.124-1.201). The relationship between NOx, PM10, and PM2.5-10 and all-cause mortality was found to be nonlinear (p for nonlinearity < 0.05). Furthermore, no significant interaction was identified between lifestyle and air pollution with respect to all-cause mortality. CONCLUSIONS: Exposure to ambient air pollution elevated the likelihood of mortality from any cause, which was impacted by individual lifestyles. To alleviate this hazard, it is crucial for authorities to escalate environmental interventions, while individuals should proactively embrace and sustain healthy lifestyles.

Latent Profiles and Transitions of Bedtime Procrastination Among Chinese College Students: The Predictive Roles of Anxiety, Depression, Problematic Smartphone Use and Self-Control.

Background: Bedtime procrastination (BP) has become an important factor affecting individual well-being. This study aimed to assess the stability and changes in BP and examine risk and protective factors. Methods: The study recruited 1423 respondents. Latent profile analysis was used to identify subgroups of BP and latent transition analysis to determine transition probabilities for each subgroup. Logistic regression examined associations between identified classes and related factors. Results: Three subgroups of BP were identified. In terms of stability and changes, the moderate bedtime procrastination group showed the highest stability (66%), followed by the severe bedtime procrastination group (62.4%), and the mild bedtime procrastination group had a 52% probability of switching to moderate bedtime procrastination. In terms of influencing factors, more problematic phone use (PSU) (OR: 1.08; 95% CI = 1.05-1.12), more depression (OR: 1.17; 95% CI = 1.06-1.29) and anxiety (OR: 1.16; 95% CI = 1.05-1.28) are all factors that aggravate the transition from mild to moderate sleep procrastination. Similarly, PSU (OR: 1.15; 95% CI = 1.12-1.19), anxiety (OR: 1.10; 95% CI = 1.06-1.14), and depression (OR: 1.10; 95% CI = 1.06-1.14) increased the risk of severe bedtime procrastination. Self-control emerged as a protective factor against BP. Conclusion: This study identified three subgroups of BP at two time points and the rule of transition for each subgroup. Our findings indicate that BP were relatively stable, with some changes over time. The results also highlight the important function that PSU, depression, anxiety, and self-control can play in preventing and intervening in BP.