Medical service satisfaction and depression among middle-aged and older Chinese adults: moderating role of distinct Internet-using patterns.

BACKGROUND: Patient satisfaction is a powerful predictor of an individual's mental health, according to previous research. However, there has not been a thorough study on the relationship between depression and overall medical service satisfaction (OMSS) in middle-aged and older adults. Moreover, little is known about how different Internet-using patterns affect this relationship. METHODS: We selected 4,523 participants from the China Family Panel Studies (CFPS) 2020 dataset who were aged 45 and older. The relationship between OMSS and depression was examined using logistic regression analysis, distinct Internet-using patterns were investigated using latent class analysis, and the moderating effects of these patterns were examined using SPSS PROCESS macro analysis. RESULTS: The results showed OMSS was negatively related to depression in middle-aged and older adults (ß = -0.181, p < 0.001). For skilled Internet users, there was a significant positive moderating effect (ß = -0.272, SE = 0.096, p < 0.01), for unskilled users, there was a significant negative moderating effect (ß = 0.497, SE = 0.156, p < 0.01). Yet, there is no moderating effect of a controlled Internet-using pattern on the correlation between OMSS and depression. CONCLUSIONS: This study highlights the potential value of improving medical service satisfaction in reducing depressive symptoms in middle-aged and older adults. Additionally, in order to maximize the benefits of healthcare for mental health, the study suggests that Internet-using patterns could be a significant area for intervention.

Latent classes of sleep problems and subjective cognitive decline among middle-aged and older adults in the United States.

OBJECTIVE: Previous studies have linked sleep problems to subjective cognitive decline (SCD) using a variable-centered approach (e.g., adding sleep symptoms to form a score); however, sleep problems may cluster differently between individuals. Thus, employing a person-centered approach, we aimed to: 1) identify profiles of self-reported sleep problems among U.S. middle-aged and older adults; 2) examine the cross-sectional association between these classes and SCD. METHODS: We studied 33,922 adults aged 45+ years from the 2017 U.S. Behavioral Risk Factor Surveillance System (BRFSS) with data on sleep problems, including short or long sleep duration, trouble falling or staying asleep, unintentionally falling asleep, snoring loudly, and observed apneas. Latent class analysis classified participants based on their responses to sleep items. We then used a subsample from Oregon, the only state that administered both sleep and SCD modules (n = 2,747), to examine the association between class membership and SCD using logistic regression, adjusting for sociodemographic and health-related characteristics. RESULTS: We identified and labeled four classes: "Healthy Sleep" (48.0 %); "Primarily Apnea" (25.8 %); "Primarily Insomnia" (17.6 %); and "Comorbid Insomnia and Sleep Apnea (COMISA)" (8.6 %). In adjusted models, individuals in the "COMISA" class had almost twice the odds of SCD, compared to those in the "Healthy Sleep" class (OR=1.91, 95 % CI =1.15-3.15). CONCLUSIONS: Compared to U.S. middle-aged and older adults with healthy sleep, those with COMISA were significantly more likely to report SCD, which is a risk factor for dementia. Studies are needed investigating whether sleep interventions delay cognitive decline in these individuals.

Heterogeneous subgroups of psychological, physical and social condition and their predictors in Chinese older patients with coronary heart disease after stent implantation.

OBJECTIVES: To explore heterogeneous subgroups of the overall health condition in the older coronary heart disease patients with stent implantation and identify their predictors. METHODS: A cross-sectional study was surveyed in Hunan, China. Participants completed the general information questionnaire and PROMIS Profile-57. Latent class analysis was performed, followed by analysis of variance, chi-square test, Fisher's exact test and multinomial logistic regression. RESULTS: A total of 564 patients were investigated and three classes of health condition were identified. The heterogeneity was correlated with age, gender, residence, education background, occupation property before retirement, drinking situation, duration of CHD diagnosis, cardiac function class and duration after stent implantation. Additionally, all older adults who have undergone stenting reported poor physical function. CONCLUSIONS: 75 years or older, female, low level of education, serious cardiac dysfunction characterize the subgroup with the heaviest burden. Precise management should be performed for older adult patients with different health condition based on their predictors.

Distinct Phenotypic Groups and Related Clinical Outcomes in Patients With Hypertrophic Cardiomyopathy.

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is a heterogeneous disorder with varying risks of clinical outcomes, including sudden cardiac death (SCD). We aimed to identify distinct phenotypes among patients with HCM in relation to SCD risk factors, interpret their clinical characteristics, and examine their outcomes. METHODS AND RESULTS: This retrospective study analyzed 1231 consecutive patients with HCM from 2 tertiary hospitals. We performed latent class analysis to categorize patients into phenotypic groups. Three distinct phenotypic groups were identified using latent class analysis. Group 1 (n=554) consisted of young patients with HCM with minimal SCD risk factors and favorable cardiac remodeling. Group 2 (n=114) comprised young patients with HCM and a high prevalence of SCD risk factors, whereas Group 3 (n=563) included older patients (median age, 68 years). Over a median 6.5-year follow-up, 34 SCD-related events, 131 cardiovascular events, 133 all-cause mortality events, and 70 noncardiovascular mortality events were observed. Group 2 exhibited the highest rate of SCD-related events (5-year SCD rate: Group 1 versus 2 versus 3: 0.8% versus 8.2% versus 4.0%, respectively, P<0.001), and cardiovascular events were more frequent in Groups 2 and 3 compared with Group 1. All-cause and noncardiovascular mortality were the most frequent in Group 3. A simplified decision tree was developed for the straightforward assignment of phenotypic group membership, demonstrating fair concordance. CONCLUSIONS: This study identified 3 distinct clinical phenotypes in patients with HCM, each associated with different SCD risks and outcomes. Data-driven phenotyping of patients with HCM offers effective risk stratification and may optimize patient management.

Patterns of Poly-Victimization Among Early Adolescents: A Latent Class and Two-Wave Latent Transition Analysis.

Background: Poly-victimization involves more than just counting incidents; it varies in severity and type among adolescents and can change over time. Objective: The aim is to identify latent classes of poly-victimization among children in early adolescence, investigate transition probabilities between these latent categories, and examine the influencing factors. Methods: We used stratified cluster random sampling to select 2275 junior high students from five rural middle schools in Shantou and Jieyang, China, and surveyed them in two waves. Latent Class Analysis (LCA) and Latent Transition Analysis (LTA) identified latent classes of poly-victimization, and multi-factor logistic regression examined factors influencing the probability of students transitioning between these latent classes. Results: LCA identified three categories of poly-victimization: low poly-victimization, group, and high child maltreatment and peer and sibling victimization. The probabilities of remaining in the high child maltreatment and peer and sibling victimization group, transitioning to the transition group, or shifting to the low poly-victimization group were 37.00%, 29.20%, and 33.80%, respectively. Most transition group members remained in the same group, with a conversion probability of 77.10%, followed by transitioning to the low poly-victimization group with a probability of 15.80%. Physically healthy children, compared to those with disabilities or illnesses, were less likely to switch from the low poly-victimization group to the transition group (OR=0.034) or the high child maltreatment and peer and sibling victimization group (OR=0.14). Non-left-behind children, compared to left-behind children, have a higher probability of switching from the high child maltreatment and peer and sibling victimization group to the low poly-victimization group (OR=6.905). Conclusion: The high child maltreatment and peer and sibling victimization group had similar probabilities of transitioning into other categories. Physical illness or disability, as well as being left behind, are significant risk factors for children transitioning from the low-harm group to the high-harm group.

Meritocratic beliefs in the United States, Finland, and China: A multidimensional approach using latent class analysis.

This study employs latent class analysis (LCA) as a novel methodology to investigate the multidimensional nature of meritocratic beliefs, addressing the limitations of traditional unidimensional approaches. Using data from the International Social Survey Program 2009 for the United States, Finland, and China, this study demonstrates several advantages of this multidimensional approach. First, LCA effectively identifies dual consciousness, where individuals simultaneously endorse meritocratic and structuralist explanations of social stratification. The analysis reveals three distinct narratives explaining social stratification: purely meritocratic beliefs, predominantly meritocratic beliefs, and dual consciousness. While all three subtypes consider merits highly important, they differ in their perceived importance of structural factors. Second, LCA facilitates cross-national comparisons, unveiling qualitative typological variations in meritocratic beliefs across countries. Unique country-specific subtypes or patterns emerge: Finland exhibits purely meritocratic beliefs, the United States shows predominantly meritocratic beliefs, and China demonstrates a dominance of dual consciousness. Although dual consciousness exists in all three countries, its prevalence varies significantly-dominant in China, moderate in the United States, and least in Finland. Third, this study reveals that the effect of education on meritocratic beliefs varies across the three countries. Education strengthens individual meritocratic beliefs in the United States, weakens them in Finland, and shows no significant effect in China. These findings highlight both within-country and across-country heterogeneity of meritocratic beliefs, underscoring the importance of a multidimensional approach.

Patterns of pain medication usage and self-reported pain in older Irish adults with osteoarthritis: A latent class analysis of data from the Irish Longitudinal Study on Ageing.

BACKGROUND: This study aimed to identify and describe links between pain medication use and self-reported pain among people aged ≥ 50 years with osteoarthritis (OA) in an Irish population, and to examine the relationships between pain, medication usage and socioeconomic and clinical characteristics. METHODS: Secondary data analysis of wave 1 cross-sectional data from The Irish Longitudinal Study on Ageing (TILDA) was undertaken of 1042 people with self-reported doctor-diagnosed OA. We examined use of medications typically included in OA clinical guidelines, including non-opioid analgesics (e.g. paracetamol), topical and oral non-steroidal anti-inflammatory drugs (NSAIDs), opioids and nutraceuticals. Latent Class Analysis (LCA) was used to identify underlying clinical subgroups based on medication usage patterns, and self-reported pain severity. Multinomial logistic regression was used to explore sociodemographic and clinical characteristic links to latent class membership. RESULTS: A total of 358 (34.4%) of the 1042 people in this analysis were taking pain medications including oral NSAIDs (17.5%), analgesics (11.4%) and opioids (8.7%). Nutraceutical (glucosamine/chondroitin) use was reported by 8.6% and topical NSAID use reported by 1.4%. Three latent classes were identified: (1) Low medication use/no pain (n = 382, 37%), (2) low medication use/moderate pain (n = 523, 50%) and (3) moderate medication use/high pain (n = 137, 13%). Poorer self-rated health and greater sleep disturbance were associated with classes 2 and 3; depressive symptoms and female gender were associated with class 2, and retirement associated with class 3. CONCLUSIONS: Whilst pain medication use varied with pain severity, different medication types reported broadly aligned with OA guidelines. The two subgroups exhibiting higher pain levels demonstrated poorer self-rated health and greater sleep disturbance.

Perception towards electronic health records & uptake of digital health IDs among the urban residents in northern India: A mixed methods study.

Background & objectives Ayushman Bharat Digital Mission (ABDM) envisages a unique digital health ID for all citizens of India, to create electronic health records (EHR) of individuals. The present study assessed the uptake of Digital Health IDs by the patient and general population, their attitude toward EHR, and explored the barriers to digital ID and utilizing electronic health records services. Methods A concurrent explanatory mixed methods study was undertaken in Chandigarh, India, with an analytical cross-sectional design as a quantitative part and a qualitative descriptive study. The study participants were 419 individuals aged ≥18 yr who attended the urban primary healthcare centre (n=399) and the community-based screening camps (n=20) between July 2021 and January 2022. Latent Class Analysis (LCA) was undertaken to identify hidden sub-population characteristics. In-depth interviews were done to identify the barriers to health ID uptake. Results The digital health ID uptake rate was 78 per cent (n=327). Among the study participants, those who were aware of EHR, those who wanted a national EHR system, those who were confident with the government on EHR security, and those who were willing to make national EHR accessible for research showed significantly higher digital health ID uptake than their counterparts. The themes identified under barriers of uptake from the qualitative interviews were lack of awareness, technology-related (including digital literacy) and utility-related. Interpretation & conclusions Increasing EHR awareness, digital health literacy, and enacting data protection laws may improve the acceptance of the digital health ecosystem in India.

Is it the Past or the Present? Employment Quality, Unemployment History, Psychological Distress and Mental Wellbeing in the United Kingdom.

Low employment quality and precarious employment have been associated with adverse mental health outcomes, yet the extent to which this association may be explained by the experience of unemployment "scarring" has not yet been explored. From a life course perspective, understanding this possible confounding is necessary. Drawing on the United Kingdom's Understanding Society dataset and using latent class analysis, we derived a typology of employment quality across six dimensions and assessed the links between individuals' employment quality, unemployment history, and mental well-being and psychological distress. Our results show that precarious types of employment as well as a higher quality "protected part-time" were linked to low mental well-being, though important gender differences were noted. Accounting for past unemployment did not fully explain these associations. No such adverse associations were observed for increased psychological distress. Our results help further the understanding of employment quality as a social determinant of health and highlight the need for both life course and gender-sensitive research in this area.

Prospective associations between heterogeneous sleep profiles and depressive symptoms in adolescents: The mediating role of coping styles.

INTRODUCTION: Extant literature has linked sleep disturbance to depressive symptoms. However, the coexistence of naturally occurring sleep profiles among adolescents and the prospective associations between sleep profiles and depressive symptoms remain poorly understood. This study aims to uncover sleep patterns in Chinese adolescents based on a comprehensive set of sleep features (e.g., latency, daytime dysfunction, etc.) derived from the Pittsburg Sleep Quality Index (PSQI) and investigate the relationship between these profiles and subsequent depressive symptoms mediated by positive and negative coping styles. METHODS: Five thousand five hundred five adolescents from Shandong province, China, enrolled (Mage = 16.83 years; 49.9% girls) in a two-wave longitudinal study (T1 in August 2023; T2 in February 2024). Latent class analysis (LCA) was conducted to identify adolescent sleep patterns. Mediation and sensitivity analyses were used to examine prospective associations between sleep patterns, coping styles, and depressive symptoms. RESULTS: Four qualitatively distinct sleep profiles emerged: Healthy Sleepers (18.9%), Latency but Functioning Sleepers (13.6%), Efficient but Dysfunctional Sleepers (57.5%), and Medicated Maladaptive Sleepers (10.0%). Using the Healthy Sleepers as a reference group, Latency but Functional Sleepers, Efficient but Dysfunctional Sleepers, and Medicated Maladaptive Sleepers all predicted subsequent depressive symptoms through positive coping styles rather than negative coping styles. The relative indirect effects were 0.19, 0.19, and 0.32, respectively. CONCLUSIONS: The study underscored that adolescents exhibit distinct sleep patterns, and specific sleep profiles may be prospectively associated with depressive symptoms mediated by positive coping styles.

Prevalence, subtypes, and risk factors of adverse childhood experiences among Chinese residents: a multicenter cross-sectional study.

Background: Addressing the long-term physical and mental health impacts of adverse childhood experiences (ACEs) remains a significant public health challenge. Additionally, ACEs can contribute to intergenerational transmission, affecting future generations. While previous studies have primarily focused on children and adolescents, there is limited data on ACE subtypes and influencing factors among the general adult population, particularly in China. This study aims to explore the prevalence, subtypes, and factors influencing ACEs among Chinese adults. Method: A total of 1,932 Chinese residents from southwest China (Sichuan, Yunnan, Guizhou provinces, and Chongqing Municipality) participated in the study, consisting of 867 men (44.9%) and 1,065 women (55.1%). Latent class analysis (LCA) was used to identify ACE clusters, and regression analysis examined associations between ACE clusters and demographic factors, physical illness, and mental health outcomes. Results: The findings revealed that 28.7% of participants had experienced at least one ACE, while 13.2% had experienced three or more ACEs. Three distinct ACE clusters were identified: a low ACE group, a high emotional and physical abuse/family dysfunction group, and a high ACE/sexual abuse group. Regression analysis showed significant associations between childhood adversity and demographic factors (age, education, birthplace), as well as physical and mental health outcomes (anxiety, depression). ANOVA further confirmed significant differences in depression and anxiety scores across the clusters. Conclusion: These findings offer critical insights for developing targeted public health interventions. Policymakers should consider strategies to reduce childhood ACEs and mitigate their long-term consequences, with particular attention to high-risk groups.

Prenatal Substance Exposure and Infant Discharge Placement: Results From the ACT NOW Study.

It is critical that researchers gather evidence of factors that identify infants at risk of out-of-home placement based on types of substance exposures and demographic characteristics. This study applied a validated medical record data extraction tool on data derived from a multi-site (N = 30) pediatric clinical trials network (ISPCTN) study of Neonatal Opioid Withdrawal (ACT NOW study). Participants included 1808 birthing parent-infant dyads with documented NOWS scoring or prenatal opioid exposure. Non-Hispanic White pregnant persons comprised the largest proportion of the sample (69.8%), followed by Non-Hispanic Black (11.6%), Non-Hispanic Multiracial and Other race (8.5%), and Hispanic (6.2%). Most notably, infant prenatal substance exposure across alcohol, cocaine, meth/amphetamine, and opioids, had the lowest possibility of discharging to parent(s). Additionally, latent class analysis identified distinct classes of substance use during pregnancy that were associated with different probabilities of discharging to parent(s). Specifically, less than half of infants (47%-49%) in the Poly-use and Meth/amphetamine classes were discharged to their parent(s). Severity of infant withdrawal symptoms influenced placement decisions within the Poly-use and Prescription Opioid classes. Findings can inform standard practices for increasing support for pregnant persons and substance-exposed infants including identification, subsequent referrals, communication with Child Protective Services, and plans of safe care.

From breast cancer diagnosis to survivorship: analyzing perioperative biopsychosocial phenotypes and their relationship to pain on long term.

Persistent breast cancer treatment-related pain affects up to 40% of patients, decreasing their quality of life (QoL). While current research typically utilizes correlation and regression analysis to identify biopsychosocial phenotypes contributing to this pain, this study employs cluster analysis to identify qualitatively different phenotypes based on somatosensory and psychosocial characteristics both before and one week post-breast cancer surgery. Further, it investigates how these phenotypes are related to pain intensity one year post-surgery and examines the evolution of phenotype membership from pre- to post-surgery. Somatosensory and psychosocial functioning was evaluated pre- and post-surgery in 184 women undergoing unilateral breast cancer surgery. Eight different quantitative sensory testing (QST) methods including mechanical detection and pain thresholds, pressure pain thresholds, thermal detection and pain thresholds, and conditioned pain modulation were performed at the surgical area (trunk, arm, major pectoral muscle) and a distant location (quadriceps muscle). Psychosocial functioning was assessed using the Central Sensitization Inventory, Pain Catastrophizing Scale, Depression Anxiety Stress Scale-21, and the McGill Quality of Life Questionnaire. Pain intensity was evaluated one year post-breast cancer surgery using the Visual Analogue Scale. Latent class analysis identified five distinct phenotypes before and post-surgery, characterized by differences in mechanical and pain thresholds alongside psychosocial factors. Moreover, higher psychosocial distress and lower QoL correlated with elevated pain intensity one year post-surgery. These findings underscore the importance of addressing breast cancer patients' mental health perioperatively. Therefore, future research should explore whether psychological interventions perioperatively can reduce long-term pain intensity. PERSPECTIVE: This secondary analysis, utilizing cluster analysis, reveals five distinct phenotype based on somatosensory and psychosocial characteristics both before and post breast cancer surgery. Higher psychosocial distress and lower quality of life correlated with elevated pain intensity one year post-surgery, emphasizing the need to address patients' mental health perioperatively. TRIAL REGISTRATION: clinicaltrials.gov (NCT03351075).

Profiling patterns of patient experiences of access and continuity at team-based primary healthcare clinics (Canada): a latent class analysis.

BACKGROUND: Access to primary healthcare services is a core lever for reducing health inequalities. Population groups living with certain individual social characteristics are disproportionately more likely to experience barriers accessing care. This study identified profiles of access and continuity experiences of patients registered with a family physician working in team-based primary healthcare clinics and explored the associations of these profiles with individual and organizational characteristics. METHODS: A cross-sectional e-survey was conducted between September 2022 and April 2023. All registered adult patients with an email address at 104 team-based primary healthcare clinics in Quebec were invited to participate. Latent class analysis was used to identify patient profiles based on nine components of access to care and continuity experiences. Multinomial logistic regression models were fit to analyze each profile's association with ten characteristics related to individual sociodemographics, perceived heath status, chronic conditions and two related to clinic area and size. RESULTS: Based on 87,155 patients who reported on their experience, four profiles were identified. "Easy access and continuity" (42% of respondents) was characterized by ease in almost all access and continuity components. Three profiles were characterized by diverging access and/or continuity difficulties. "Challenging booking" (32%) was characterized by patients having to try several times to obtain an appointment at their clinic. "Challenging continuity" (9%) was characterized by patients having to repeat information that should have been in their file. "Access and continuity barriers" (16%) was characterized by difficulties with all access and continuity components. Female gender and poor perceived health significantly increased the risk of belonging to the three profiles associated with difficulties by 1.5. Being a recently arrived immigrant (p = 0.036), having less than a high school education (p = 0.002) and being registered at a large clinic (p < 0.001) were associated with experiencing booking difficulties. Having at least one chronic condition (p = 0.004) or poor perceived mental health (p = 0.048) were associated with experiencing continuity difficulties. CONCLUSIONS: These results highlight individual social and health characteristics associated with increased risk of experiencing healthcare access difficulties, such as immigration status and education level and/or continuity difficulties when having a chronic condition and poor perceived mental health. Facilitating appointment booking for recently arrived immigrants and patients with low education, integrating interprofessional collaboration practices for patients with chronic conditions and improving care coordination and communication for patients with mental health needs are recommended.

Sleep patterns in adolescents and associations with substance use.

OBJECTIVES: Good sleep during adolescence is crucial for maintaining physical and psychological health; however, sleep disturbance during this period may contribute to health risks, such as substance use. This study aimed to identify the latent sleep patterns across male and female adolescents, and their association with drug use. METHOD: A cross-sectional study was conducted involving 1391 high school students (aged 15-17; 56.4% female). Participants completed the brief Pittsburgh Sleep Quality Index alongside other sleep measures, and the Timeline Follow-Back and Drug Use History Questionnaire to measure substance use. A multiple-group latent class analysis was used to identify sleep patterns across sexes, and pairwise Logistic Regression models to compare their association with substance use. RESULTS: Four sleep patterns were identified with varying degrees of sleep difficulties: "Good Sleep" (43.3%), "Night Awakenings" (31.8%), "Poor Efficiency and Sleep Onset" (9.4%), and "Poor Sleep" (15.5%). Female adolescents were more likely to belong to Poor Sleep and Poor Efficiency and Sleep Onset patterns, and male adolescents to Good Sleep. Likewise, binge drinking and using alcohol for a longer period were associated with experiencing Poor Efficiency and Sleep Onset (OR=1.03 and 2.3, respectively); smoking tobacco within the past month was linked to Night Awakenings (OR=2.2); and using cannabis or illegal drugs to the Poor Sleep pattern (OR=2.4 and 2.6, respectively). CONCLUSIONS: Varied sleep difficulties exist among adolescents that significantly correlate with different aspects of drug use. Targeted interventions that address both sleep and drug prevention are recommended.

Analyzing early childhood allergy prevention motivation of mothers of infants and its predictors using latent class analysis and structural equation modelling.

BACKGROUND: Allergic diseases are among the most common chronic diseases in childhood. Early childhood allergy prevention (ECAP) behaviors of those caring for the infant during pregnancy and the first months of life may influence the risk of allergy development over the life course. Motivation and intention to use appropriate primary ECAP measures are thus of critical importance. AIMS: To characterize parental ECAP motivation, (a) valid indicators will be developed and (b) typical parental characteristics will be identified. (c) According to socio-cognitive models, the predictive value of parental risk perception, control belief and self-efficacy for parental ECAP motivation shall be determined. METHOD: A sample of N = 343 (expectant) mothers of infants completed a questionnaire on self-reported ECAP motivation, risk perception, control belief, and self-efficacy. The cross-sectional data were analyzed using latent class analysis and structural equation modelling including nominal regression models. RESULTS: Four typical maternal response profiles (motivated to a customary degree, 70%; motivated to use primary preventive measures, 17.8%; reluctant towards new prevention measures, 6.4%; highly motivated to apply preventive measures in case of an existing allergy, 5.8%) could be identified for the items on ECAP motivation. After splitting the model variables "risk perception" (allergy vs. allergy-associated general health problems) and "self-efficacy" (trust vs. insecurity) a satisfactory model-fit was achieved (CFI = .939; RMSEA = .064). Particularly, increased "risk perception-allergy" (OR = 1.655) and "self-efficacy-insecurity" (OR = 2.013) as well as lower "risk perception-general health" (OR = 0.555) and "control belief" (OR = 0.217), respectively, are associated with higher ECAP motivation. CONCLUSION: The use of ECAP-measures by parents to protect their newborns from allergies is important, but there are deficiencies in their implementation. Based on a social cognitive model approach, predictive characteristics could be identified, which are associated with increased motivation to implement ECAP-measures. For public health our findings provide a promising basis for conception of behavioral and environmental ECAP prevention measures and their motivated implementation by parents.

Identification of novel sub-phenotypes of severe ARDS requiring ECMO using latent class analysis.

BACKGROUND: Sub-phenotyping of acute respiratory distress syndrome (ARDS) could be useful for evaluating the severity of ARDS or predicting its responsiveness to given therapeutic strategies, but no studies have yet investigated the heterogeneity of patients with severe ARDS requiring veno-venous extracorporeal membrane oxygenation (V-V ECMO). METHODS: We conducted this retrospective multicenter observational study in adult patients with severe ARDS treated by V-V ECMO. We performed latent class analysis (LCA) for identifying sub-phenotypes of severe ARDS based on the radiological and clinical findings at the start of ECMO support. Multivariate Cox regression analysis was conducted to investigate the differences in mortality and association between the PEEP setting of ≥ 10 cmH2O and mortality by the sub-phenotypes. RESULTS: We identified three sub-phenotypes from analysis of the data of a total of 544 patients with severe ARDS treated by V-V ECMO, as follows: Dry type (n = 185; 34%); Wet type (n = 169; 31%); and Fibrotic type (n = 190; 35%). The 90-days in-hospital mortality risk was higher in the patients with the Fibrotic type than in those with the Dry type (adjusted hazard ratio [95% confidence interval] 1.75 [1.10-2.79], p = 0.019) or the Wet type (1.50 [1.02-2.23], p = 0.042). The PEEP setting of ≥ 10 cmH2O during the first 3 days of ECMO decreased the 90-days in-hospital mortality risk only in patients with the Wet type, and not in those with the Dry or Fibrotic type. A significant interaction effect was observed between the Wet type and the PEEP setting of ≥ 10 cmH2O in relation to the 90-day in-hospital mortality (pinteraction = 0.036). CONCLUSIONS: The three sub-phenotypes showed different mortality rates and different relationships between higher PEEP settings in the early phase of V-V ECMO and patient outcomes. Our data suggest that we may need to change our management approach to patients with severe ARDS during V-V ECMO according to their clinical sub-phenotype.

Patterns of Health Behaviors and Trajectories of Stress among People with Disabilities in Korea.

Background: As a health vulnerable group, people with disabilities require more health-promoting behavior than non-disabled people. We aimed to identify the types of health behavior of disabled people and to track the trajectories of stress by the type of health behaviors. Methods: Data came from the Panel Survey of Employment for the Disabled Second Wave by the Employment Development Institute (EDI) in Korea. We used dataset from the first 6 years of the 2nd wave of PSEDSW (2016-2021). The current study analyzed 3,991 subjects. The types of health behavior were identified through latent class analysis (LCA) and the trajectories of stress were estimated through multi-group latent growth modeling using Mplus 8.0. Results: Two types of groups in health behaviors, smoking-drinking group (SD), nonsmoking-less drinking group (NLSD) were derived. Depending on the types of health behavior, the trajectories of stress appeared significantly different: the NLSD had significantly lower stress than the SD in the first year, and this low-level stress trajectory was maintained continuously for 6 years. Conclusion: Health behaviors could be suitable as a stress coping method for people with disabilities. This study suggests that it is necessary to make efforts to create an environment that supports people with disabilities to learn healthier ways to cope with stress.

Recommendations for empirical syndemics analyses: A stepwise methodological guide.

Syndemic theory posits that co-occurring diseases interact in a manner that increases disease transmission, progression, and negative health outcomes. And that adverse socioeconomic and environmental conditions promote this disease or health condition clustering and interaction. The concept offers two important contributions to the health sciences. First, it positions socioeconomic, structural, and environmental conditions as central to disease burdens. Second, as a portmanteau - 'syn' for synergy and 'demic' for disease epidemics - syndemic theory indicates that in some cases diseases do not merely co-occur but synergistically interact to affect an outcome that is more than the accumulation of the individual disease effects. The difficulty in operationalizing these central elements has resulted in a divergence of scholarship from the centralizing principles of the theory towards a simpler accumulation perspective in which more conditions equate to worse health outcomes. In addition, all empirical syndemic assessments should include robust qualitative assessments of the dynamics, however, much syndemic scholarship focuses only on quantitative analyses. To address these issues, a five-step approach to quantitative analyses of syndemic arrangements is proposed: (1) identifying disease clusters within a defined population; (2) determining the relevant social and structural factors that support disease clustering; (3) determining if clusters are distinct by social/demographic groups within the population; (4) evaluating if the identified disease cluster contributes to worse health outcomes; and (5) assessing for synergy between clustering diseases. This stepwise strategy ensures not only a rigorous assessment of hypothesized syndemic interactions but also presents a closer alignment of scholarship with syndemics theory. As an illustration, the approach is applied to an assessment of a hypothesized HIV/cardiovascular disease syndemic in South Africa. While syndemics theory has proven valuable in guiding public health interventions and policy, progressive improvement must be made in the application of the theory to ensure that it continues to effectively inform comprehensive practice.

Profiles of refugee-related trauma exposure and depression among North Korean refugees in South Korea: A latent class analysis.

BACKGROUND: North Korean refugees (NKRs) exhibit alarmingly high levels of depression prior to or immediately after entering South Korean society, which is likely attributable to their pre-migration traumatic experiences. However, prior research on NKRs has simply examined the cumulative effect of trauma on depression. Despite calls for research identifying trauma exposure patterns that co-occur among refugees, to date, no study has investigated distinct profiles of NKRs' pre-migration trauma exposure and their associations with depression in this high-risk population. To better understand the unique mental health needs of NKRs and provide them with tailored care, it is imperative to identify meaningful subgroups of NKRs with distinct profiles of trauma exposure. AIMS: Using latent class analysis (LCA), which is a person-centered approach, this study aimed to identify subgroups of NKRs based on trauma exposure and their associations with sociodemographic characteristics and depression levels. METHODS: A sample of NKRs (N = 405) in South Korea were assessed for depression, pre-migration trauma, and sociodemographic covariates through a self-administered survey. LCA was conducted to identify trauma exposure classes and multivariate ordinary least squares regression analysis was performed to examine associations between trauma exposure classes and depression. RESULTS: The prevalence of clinically significant depression was 47.2% for our study sample. Three classes of trauma were identified: deprivation trauma and witnessing death (59.3%), complex and pervasive trauma (23.7%), and low exposure (17.0%). Members in the complex and pervasive trauma class demonstrated very high probabilities of exposure to all traumatic events and had the strongest association with elevated depression. CONCLUSIONS: Our findings underscore the importance of identifying subgroups of NKRs to unravel heterogeneity in trauma exposure and provide more nuanced explanations for different risk profiles regarding depression. These findings also provide evidence for a framework for clinicians to provide individualized resources and trauma-informed services to NKRs.