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Introduction: Language skills, such as the ability to understand words (receptive language), develop during infancy and are built through interactions with the environment, including eating. Exposure to complementary foods also begins in infancy and may play a significant role in language development, especially in understanding of food-related words. However, the relationship between the complementary foods to which a child is exposed and early language acquisition has not been previously studied. We hypothesized that young children's food-related receptive language (FRL) would reflect the complementary foods to which they were frequently offered by caregivers. Methods: Caregivers of young children (4-26 months; n = 408) in the Approaching Eating through Language (APPEAL) Study in the US were surveyed via Qualtrics. FRL was assessed by caregiver-report via a modified MacArthur-Bates Communicative Development Inventory. Complementary foods offered (CFO) by caregivers were assessed using a modified Food Frequency Questionnaire. Latent Class Analysis (LCA) was implemented to identify, 1) groupings of foods frequently offered (>1x/week) and 2) groupings of food-related words understood by the young children. Results: A 5-class best fit LCA model was identified for CFO (-log likelihood [-llik]=-8727) and for FRL (-llik=-5476). Cross-classification of the CFO and FRL derived classes revealed that children with higher exposure to complementary foods were perceived by caregivers to be most likely to also understand a greater number of food-related words (Probability=0.48). As expected, children having been offered a greater number of complementary foods and who understood a greater number of food-related words were older, compared to those with less complementary food exposure and food-related language acquisition (p < 0.001). Discussion: These findings support the potential role of introduction to complementary foods in development of food-related language.

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Background: The COVID-19 pandemic has caused psychological problems among nurses worldwide. However, their willingness to seek professional help is relatively low, due to perceived barriers that have remained unknown. Aims: This study analysed the potential barriers and influencing factors of psychological help-seeking among nurses participating in community COVID-19 epidemic prevention work. Methods: Five variables - depression, anxiety, post-traumatic stress syndrome, social support and mental health literacy - were measured from a sample of 667 nurses. Latent class analysis identified homogeneous classes about psychological help-seeking barriers and multinomial logistic regression identified factors associated with potential grouping outcomes. Results: Three categories were identified: major barriers (N = 17, 2.5%), stigma and accessibility barriers (N = 132, 21.2%) and low barriers (N = 518, 76.4%). Mental health literacy was significantly correlated with the 'low barriers' class (OR = 0.953, B = -0.047, p = 0.03), whereas depression (OR = 1.091, B = 0.085, p = 0.011) had a slightly positive effect on being in the 'stigma and accessibility barriers' class. Conclusions: During pandemics or other social health crises, nurses may experience psychological barriers to help seeking. Communities and hospitals should consider increasing the resources available for psychological counselling services, improving mental health awareness and literacy that may help reduce depression levels and promote mental health.

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BACKGROUND: The purpose of this study includes: 1) identifying classes of substance-related needs among Black women, and 2) examining the effect of substance-related need classes and culturally-relevant factors on Black women's use of substance use disorder (SUD) treatment and mutual support groups. METHODS: As part of a longitudinal cohort study, Black women were recruited in prison nearing release, on probation, and in the community without involvement in the criminal legal system (CLS, n=565) and followed-up at 18-months. We conducted a baseline latent class analysis of substance-related needs among Black women. Logistic regression models adjusted for culturally-relevant factors to predict the use of treatment and frequency of mutual support group participation over 18-months among Black women who use drugs. RESULTS: Four classes by level of needs were found: low, daily marijuana use, high mental health, and high comorbidity. During the 18-month follow-up, women characterized by the high comorbidity need class and with higher scores of religious well-being were more likely to frequently participate in mutual support groups. Non-CLS-involved women were less likely to engage with both treatment and mutual support groups than women from the prison sample at 18-months. CONCLUSIONS: This study highlights four distinct classes of substance-related needs among Black women, highlighting the complex patterns of behavior and within-racial group differences among Black women. Black women with high comorbidity needs were more likely to participate in mutual support groups, but the latent classes did not predict SUD treatment indicating other non-medical and social contextual need factors may be at play.

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Objectives: This study aimed to identify the behavioural pattern of psychological distress (PD) in the population of 18 to 65 years old people in Mashhad, Iran, using latent class regression and evaluate the related factors. PD is a unique emotional state with suffering in response to a stressor or specific need that leads to temporary or permanent impacts. Due to its negative effects on several features of life like the quality of life, health, performance and productivity of individuals, PD and its consequences are considered a public health priority. Methods: A cross-sectional study was performed on 425,286 individuals aged 18 to 65, who were referred to health centres in Mashhad, northeastern Iran in the first half of 2018. The information required for this study, including a checklist of demographic information and the six-item Kessler Psychological Distress Scale (K-6), was obtained from the Sina System. Results: Latent class regression identified three latent patterns of PD in answering the questions of the K-6 questionnaire, including severe PD (14%), low PD distress (40%) and no PD (46%). Statistical variables of this study due to the results are considered as the following: women, illiterate people, unemployed and divorced people, individuals aged between 50 and 59 years and people with low weight were more likely to be in the severe PD class than in the no PD class. Conclusion: Although a small percentage of people were classified as severely disturbed, the findings showed a high rate of symptoms of distress and sadness even in the no PD class.

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BACKGROUND: Patterns of utilization of numerous smoking cessation methods among pregnant women amidst the increasing popularity of vaping (use of e-cigarettes) remains unknown. METHODS: This study included 3,154 mothers who self-reported smoking around the time of conception and delivered live births in 2016-2018 in seven US states. Latent class analysis was used to identify subgroups of smoking women based on their utilization of 10 surveyed quitting methods and vaping during pregnancy. RESULTS: We identified four subgroups of smoking mothers with different utilization patterns of quitting methods during pregnancy: 22.0% reported "not trying to quit"; 61.4% tried to "quit on my own" without any behavioral or pharmacological assistance; 3.7% belonged to the "vaping" subgroup; and 12.9% utilized "wide-ranging methods" with higher use rate of multiple approaches, such as quit line and nicotine patch. Compared to mothers "not trying to quit," the subgroup trying to "quit on my own" were more likely to be abstinent (adjusted OR 4.95, 95% CI 2.82-8.35) or to reduce the number of cigarettes smoked daily (adjusted OR 2.46, 95% CI 1.31-4.60) in late pregnancy, and these improvements lasted into early postpartum. We did not observe a measurable reduction in smoking among the "vaping" subgroup or women trying to quit with "wide-ranging methods". CONCLUSIONS: We identified four subgroups of smoking mothers with different utilization patterns of eleven quitting methods during pregnancy. Pre-pregnancy smokers who tried to "quit on my own" were most likely to be abstinent or to reduce smoking amount.

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OBJECTIVE: Bodily Distress Syndrome (BDS) represents a new research concept for adult patients with various functional somatic syndromes. We evaluated the utility of the BDS research concept and the associated BDS-25-checklist as a screening tool for diverse functional somatic symptoms (FSS) in adolescence by investigating: 1) the psychometric and factorial structures of the checklist, 2) symptom cluster patterns and 3) illness classification and associations with emotional psychopathology and sociodemographic factors. METHODS: This cross-sectional study obtained data from the 16/17-year follow-up (N = 2542) of the general population Copenhagen Child Cohort 2000 (CCC2000). We used self-reported questionnaires to assess physical symptoms (the BDS-25 checklist), overall health (KidScreen), emotional psychopathology (Spence Children's Anxiety Scale; The Mood and Feelings Questionnaire), and illness worry (Whiteley-6 Index), and utilized data from Danish national registers to assess sociodemographic factors. RESULTS: The BDS-25 checklist items displayed satisfactory psychometric data quality. Factor analyses revealed a similar four-factor model as reported in adults (factor loadings λ ≥0.5), representing distinct BDS symptom clusters: cardio-pulmonary, gastro-intestinal, musculoskeletal and general symptoms. Latent class analyses revealed a model with three latent classes, i.e. probable no to mild BDS, probable moderate, single-organ BDS and probable severe, multi-organ BDS, displaying acceptable class quality (Entropy = 0.904). Trend analyses revealed sociodemographic group differences across latent classes. Increased emotional psychopathology was associated with more pronounced BDS symptoms. CONCLUSION: Our findings support the BDS concept with four symptom clusters and three illness severity groups (no BDS, single- organ and multi-organ BDS) to screen for FSS in adolescence.

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PURPOSE: This study aimed to examine reclassification rates among classes of chronic obstructive pulmonary disease (COPD) patients based on their distinct symptom experiences and to assess how these subgroups differed in symptom scores and health-related quality of life (HRQoL) outcomes over one year. Moreover, we wished to assess how these subgroups differed in demographic and clinical characteristics at 12 months. PATIENTS AND METHODS: This is a follow-up study of 267 patients with moderate, severe, and very severe COPD. Based on their distinct symptom experiences using the Memorial Symptom Assessment Scale (MSAS), three subgroups (i.e., "high", "intermediate", and "low") were identified at baseline. In the present study, transitions between the subgroups at three, six, nine, and 12 months were investigated and calculated as reclassification rates. Differences among the subgroups in symptom scores and HRQoL at each time point and demographic and clinical characteristics at 12 months were evaluated using analysis of variance with post hoc comparisons. RESULTS: Almost 65% were still in the "high" class after 12 months. At 12 months, pairwise comparisons for respiratory function measurements were not significantly different. Compared to the "intermediate" and "low" class, patients in the "high" class were more likely to be women and had significantly more comorbidities, reported a significantly higher number of symptoms at all time points, and worse HRQoL scores. CONCLUSION: Our findings suggest that the pattern of a high symptom burden in COPD is consistent over time. The patients' individual symptom experiences should be the primary focus of treatment.

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BACKGROUND: Review studies increasingly emphasize the importance of the role of parenting in interventions for preventing overweight in children. The aim of this study was to examine typologies regarding how consistently parents apply energy-balance related behavior rules, and the association between these typologies and socio-demographic characteristics, energy balance-related behaviors among school age children, and the prevalence of being overweight. METHODS: For this cross-sectional study, we had access to a database managed by a Municipal Health Service Department in the Netherlands. In total, 4,865 parents with children 4-12 years of age participated in this survey and completed a standardized questionnaire. Parents classified their consistency of applying rules as "strict", "indulgent", or "no rules". Typologies were identified using latent class analyses. We used regression analyses to examine how the typologies differed with respect to the covariates socio-demographic characteristics, children's energy balance-related behaviors, and weight status. RESULTS: We identified four stable, distinct parental typologies with respect to applying dietary and sedentary behavior rules. Overall, we found that parents who apply "overall strict EBRB rules" had the highest level of education and that their children practiced healthier behaviors compared to the children of parents in the other three classes. In addition, we found that parents who apply "indulgent dietary rules and no sedentary rules" had the lowest level of education and the highest percentage of non-Caucasians; in addition, their children 8-12 years of age had the highest likelihood of being overweight compared to children of parents with "no dietary rules". CONCLUSIONS: Parents' consistency in applying rules regarding dietary and sedentary behaviors was associated with parents' level of education and ethnic background, as well as with children's dietary and sedentary behaviors and their likelihood of becoming overweight. Our results may contribute to helping make healthcare professionals aware that children of parents who do not apply sedentary behavior rules are more likely to become overweight, as well as the importance of encouraging parents to apply strict dietary and sedentary behavior rules. These results can serve as a starting point for developing effective strategies to prevent overweight among children.

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The usual method for assessing the reliability of survey data has been to conduct reinterviews a short interval (such as one to two weeks) after an initial interview and to use these data to estimate relatively simple statistics, such as gross difference rates (GDRs). More sophisticated approaches have also been used to estimate reliability. These include estimates from multi-trait, multi-method experiments, models applied to longitudinal data, and latent class analyses. To our knowledge, no prior study has systematically compared these different methods for assessing reliability. The Population Assessment of Tobacco and Health Reliability and Validity (PATH-RV) Study, done on a national probability sample, assessed the reliability of answers to the Wave 4 questionnaire from the PATH Study. Respondents in the PATH-RV were interviewed twice about two weeks apart. We examined whether the classic survey approach yielded different conclusions from the more sophisticated methods. We also examined two ex ante methods for assessing problems with survey questions and item nonresponse rates and response times to see how strongly these related to the different reliability estimates. We found that kappa was highly correlated with both GDRs and over-time correlations, but the latter two statistics were less highly correlated, particularly for adult respondents; estimates from longitudinal analyses of the same items in the main PATH study were also highly correlated with the traditional reliability estimates. The latent class analysis results, based on fewer items, also showed a high level of agreement with the traditional measures. The other methods and indicators had at best weak relationships with the reliability estimates derived from the reinterview data. Although the Question Understanding Aid seems to tap a different factor from the other measures, for adult respondents, it did predict item nonresponse and response latencies and thus may be a useful adjunct to the traditional measures.

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INTRODUCTION: Few studies have assessed patterns of substance use among Canadian adolescents. This cross-sectional study examined substance use classes among Canadian secondary school students and associations with anxiety and depression. METHODS: This study used data from Year 6 (2017/18) of the COMPASS study. Students (n = 51 767) reported their substance use (alcohol, cannabis, cigarette and e-cigarette use) and anxiety and depression symptoms. We employed latent class analysis to identify substance use classes and multinomial logistic regression to examine how anxiety and depression were associated with class membership. RESULTS: Overall, 40% of students indicated having anxiety and/or depression (50% in females; 29% in males) and 60% of students reported substance use (60% in females; 61% in males). We identified three substance use classes: poly-use, dual use, and non-use. Females with both anxiety and depression had the highest odds of being in the poly-use class compared to the non-use class (odds ratio [OR] = 4.09; 95% confidence interval [CI]: 3.59-4.65) followed by females with depression only (OR = 2.65; 95% CI: 2.31-3.04) and males with both anxiety and depression (OR = 2.48; 95% CI: 2.19-2.80). Symptomatology was also associated with belonging to the dual use class except among males with anxiety only (OR = 1.13; 95% CI: 0.94-1.37). CONCLUSION: Canadian secondary school students are engaging in dual and poly-substance use, and anxiety and depression were associated with such use. Females had a higher prevalence of anxiety and depression and should be a priority population for mental health programming.

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OBJECTIVE: Define and contrast acute pain trajectories vs. the aggregate pain measurements, summarize appropriate linear and nonlinear statistical analyses for pain trajectories at the patient level, and present methods to classify individual pain trajectories. Clinical applications of acute pain trajectories are also discussed. SETTING: In 2016, an expert panel involving the Analgesic, Anesthetic, and Addiction Clinical Trial Translations, Innovations, Opportunities, and Networks (ACTTION), American Pain Society (APS), and American Academy of Pain Medicine (AAPM) established an initiative to create a pain taxonomy, named the ACTTION-APS-AAPM Pain Taxonomy (AAAPT), for the multidimensional classification of acute pain. The AAAPT panel commissioned the present report to provide further details on analysis of the individual acute pain trajectory as an important component of comprehensive pain assessment. METHODS: Linear mixed models and nonlinear models (e.g., regression splines and polynomial models) can be applied to analyze the acute pain trajectory. Alternatively, methods for classifying individual pain trajectories (e.g., using the 50% confidence interval of the random slope approach or using latent class analyses) can be applied in the clinical context to identify different trajectories of resolving pain (e.g., rapid reduction or slow reduction) or persisting pain. Each approach has advantages and disadvantages that may guide selection. Assessment of the acute pain trajectory may guide treatment and tailoring to anticipated symptom recovery. The acute pain trajectory can also serve as a treatment outcome measure, informing further management. CONCLUSIONS: Application of trajectory approaches to acute pain assessments enables more comprehensive measurement of acute pain, which forms the cornerstone of accurate classification and treatment of pain.

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Introduction: Long-standing disparities in colorectal cancer (CRC) outcomes and survival between Whites and Blacks have been observed. A person-centered approach using latent class analysis (LCA) is a novel methodology to assess and address CRC health disparities. LCA can overcome statistical challenges from subgroup analyses that would normally impede variable-centered analyses like regression. Aim was to identify risk profiles and differences in malignant CRC survivorship outcomes. Methods: We conducted an LCA on the Surveillance, Epidemiology, and End Results data from 1975 to 2016 for adults ≥18 (N = 525,245). Sociodemographics used were age, sex/gender, marital status, race, and ethnicity (Hispanic/Latinos) and stage at diagnosis. To select the best fitting model, we employed a comparative approach comparing sample-size adjusted BIC and entropy; which indicates a good separation of classes. Results: A four-class solution with an entropy of 0.72 was identified as: lowest survivorship, medium-low, medium-high, and highest survivorship. The lowest survivorship class (26% of sample) with a mean survival rate of 53 months had the highest conditional probabilities of being 76-85 years-old at diagnosis, female, widowed, and non-Hispanic White, with a high likelihood with localized staging. The highest survivorship class (53% of sample) with a mean survival rate of 92 months had the highest likelihood of being married, male with localized staging, and a high likelihood of being non-Hispanic White. Conclusion: The use of a person-centered measure with population-based cancer registries data can help better detect cancer risk subgroups that may otherwise be overlooked.

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PURPOSES: To identify fatigue trajectories during/after stroke rehabilitation, to determine characteristics associated with trajectory membership before discharge and to investigate how these trajectories and activity pacing are associated with sustained physical activity after rehabilitation. METHODS: People after stroke (n = 206) were followed from 3-6 weeks before discharge (T0) to 14 (T1), 33 (T2) and 52 (T3) weeks after discharge from rehabilitation in the ReSpAct study. Latent Class analysis was used to identify trajectories of perceived fatigue. Binomial multivariable logistic regression analyses were performed to determine characteristics associated with trajectory membership (T0). Multilevel regression analyses were used to investigate how perceived fatigue and activity pacing were associated with self-reported physical activity (T0-T3). RESULTS: Three fatigue trajectories were identified: high (n = 163), low (n = 41) and recovery (n = 2). Compared with the high fatigue trajectory, people in the low fatigue trajectory were more likely to report higher levels of health-related quality of life (HR-QoL) (OR = 3.07, 95%CI = 1.51-6.26) and physical activity (OR = 1.93, 95%CI = 1.07-3.47). Sustained high levels of physical activity after rehabilitation were significantly associated with low perceived fatigue and high perceived risk of overactivity. CONCLUSIONS: Three fatigue trajectories after stroke rehabilitation were identified. High levels of HR-QoL and physical activity before discharge identified people in the low fatigue trajectory. A physically active lifestyle after rehabilitation was associated with low perceived fatigue and perceived risk of overactivity.IMPLICATIONS FOR REHABILITATIONSince almost 80% of people after stroke in this study perceived severe fatigue up to 1 year after stroke rehabilitation, activities focusing on the management of fatigue symptoms should be integrated in general stroke rehabilitation.In clinical practice, low levels of health-related quality of life and low levels of self-reported physical activity before discharge from stroke rehabilitation should be considered by rehabilitation professionals (e.g., physicians, physiotherapists, and physical activity counsellors) since these characteristics can predict chronic perceived fatigue up to 1 year after stroke rehabilitation.A physical activity counselling programme delivered during and after stroke rehabilitation may be improved by incorporating tailored advice regarding the management of fatigue.

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Background and Objectives: Most individuals experience multiple potentially traumatizing events (PTEs); hence, it is important to consider count and types of PTEs (polytraumatization) in relation to post-trauma health. Notably, no research has examined polytraumatization typologies in relation to positive memory count and phenomenology. We examined (1) latent subgroupings of individuals based on PTE endorsements; and (2) relation of the optimal latent class solution to positive memory count and phenomenology. Design: Participants were 203 trauma-exposed adults (Mage = 35.40; 61.10% females); we used PTEs endorsed on the Life Events Checklist for DSM-5 as indicators for analyses. Results: Latent class analyses indicated a three-class solution differing in quantity and quality of PTE types: Low Experience, Predominant Interpersonal PTEs, and Predominant Non-Interpersonal PTEs. Further, more positive memories predicted membership in the Low Experience vs. other classes; greater sensory details of a positive memory predicted membership in the Low Experience vs. the Predominant Interpersonal PTEs Classes; and greater accessibility of a positive memory predicted membership in the Predominant Interpersonal PTEs vs. the Predominant Non-Interpersonal PTEs Classes. Conclusions: Results indicated three meaningful subgroups endorsing differing levels/types of PTEs; count, sensory details, and accessibility of positive memories, pending further investigation, may differentiate these subgroups.

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PURPOSE: Rural women, compared to urban, experience worse survivorship outcomes, including poorer health-related quality of life (QOL). There is a need to characterize the role of multilevel social factors that contribute to QOL, including context, networks, and functioning. Our objectives were to (1) use latent class analysis to identify distinct classes of social context and social networks and (2) examine how multilevel social factors (context, networks, and functioning) are associated with health-related QOL. METHODS: We recruited self-identified rural survivors to the Illinois Rural Cancer Assessment (2017-2018), via community-based sampling methods, and participants completed the survey online, by phone, or on paper. We used latent class analysis to generate multidimensional variables for contextual and network factors. We next modeled each social factor sas a predictor in separate, bivariable linear regressions for the QOL outcomes, followed by multivariable, adjusted regressions. RESULTS: For our first objective, there were three classes each of county-level contexts (1, highly rural, socioeconomically disadvantaged, and mostly lacking in cancer-related services; 2, mostly rural, moderately disadvantaged, and underserved; 3, mostly metropolitan, less disadvantaged, and most-resourced) and social networks (1, no caregivers; 2, only spousal caregivers with whom they communicated daily; 3, multiple caregivers with varying daily communication). For our second objective, among all social factors, only functioning was associated with better mental health-related QOL. No factors were associated with physical health-related QOL. CONCLUSIONS: Our findings suggest a rich diversity of social context and networks among rural female cancer survivors, and social functioning is particularly important for mental health-related QOL.

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PURPOSE: This study aimed to evaluate the implementation of a physical activity counseling program in rehabilitation and to study heterogeneity in received counseling and investigate its association with changes in patients' physical activity outcomes. METHODS: This prospective cohort study was conducted in 18 rehabilitation institutions. Data were collected using surveys completed by professionals (n= ±70) and patients (n = 1719). Implementation was evaluated using different process outcomes: reach, dosage, satisfaction, maintenance. Patients' physical activity outcomes included changes in total minutes/week of physical activity. Latent class analyses were conducted to identify profiles of received counseling characteristics and multilevel models were used to investigate associations with physical activity outcomes. RESULTS: 5873 Patients were provided with motivational interviewing-based counseling after rehabilitation. Professionals and patients were positive about the program. Sixteen institutions (89%) formally agreed to continue the program. The four identified profiles of counseling characteristics illustrate a large variation in received counseling among patients. No substantial differences in physical activity outcomes were found between profiles. CONCLUSION: After a three-year program period, the physical activity counseling centers were sustainably implemented in Dutch rehabilitation care. This study illustrated an innovative approach to assess heterogeneity in implementation outcomes (e.g., counseling profiles) in relation to program outcomes (e.g., physical activity).Implications for rehabilitationPhysical activity counseling after rehabilitation is important to support people with disabilities in making the step from rehabilitation-based physical activities to community-based physical activities.Establishing "Physical Activity Counseling Centers" is a promising "disability-overarching" strategy to promote physical activity after rehabilitation.Although the actual received counseling (dosage) varied among patients, this did not coincide with large differences in physical activity outcomes.The training in Motivational Interviewing, the financial incentives, and the advisory support were considered as important or essential ingredients for a successful implementation of the counseling program in rehabilitation practice.

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University students were confronted with abrupt changes to their daily lives by the COVID-19 lock-down. We investigated Generalized Anxiety Disorder Scale-7 (GAD-7) and anxiety levels, and the association between perceived impact on well-being, studies, and daily lives and anxiety levels, adjusted for gender, age, social class and affiliation. Early in the lock-down all students of the Zurich University of Applied Sciences (N = 12,429) were invited to a voluntary longitudinal health survey. Participation rate was 20% (n = 2437): 70% females, median age 25 yrs. (IQR 23-28). A total of 10% reported a deterioration of well-being compared to pre-Corona. LCA yielded three classes varying in perceived COVID-19 impact: 1 (low, n = 675), 2 (moderate, n = 1098), and 3 (strong, n = 656). Adjusted proportion of moderate to severe anxiety by class were 45% (95% CI: 28.0-62.0), 15.5% (95% CI: 13.1-17.9), and 5.1% (95% CI: 4.7-5.6), respectively. Multivariate regression analyses yielded an OR for moderate to severe anxiety of 3.88 (95% CI: 2.5-6.0, class 2) and 22.43 (95% CI: 14.5-34.6, class 3) compared to class-1. The investigated association implies that containment measures have a selective effect on anxiety in students. The diversity of students' perception and associated anxiety should be monitored and considered in future response to pandemics.

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Self-rated health (SRH) is a marker of future health and a possible predictor of future multimorbidity, which is a major challenge for population health and health care. There is a lack of studies on adolescent SRH and patterns of health problems across the transitional period from adolescence to early adulthood. Therefore, this study aimed to identify groups of people with similar health problems in early adulthood and explore the predictive value of adolescent SRH on the group classification after a period of 10-19 years. Data from 8828 adolescents participating in the Young HUNT-1 survey (1995-1997) were linked to the Norwegian registry of general practitioner (GP) claims, which includes diagnoses recorded in GP consultations in 2006-2014. We used latent class analysis (LCA) to identify groups of patients with similar health problems in early adulthood and explored SRH as a predictor of class membership using latent class regression, adjusting for baseline chronic disease, frequency of health care attendance, sex and age. The mean age at baseline was 16 years, and 50% of the participants were female. SRH was reported as very good by 28%, good by 61% and not good by 11%. We identified five groups of patient classification (classes): Healthy (35%), Infections and general problems (26%), Musculoskeletal problems (21%), Psychological problems (6%) and Multi-illness (13%). We found a gradual increase in the probability of belonging to the Healthy class with better SRH, and an inverse pattern for the Psychological and Multi-illness classes. This pattern remained after adjusting for baseline variables. In conclusion, there is a clear association between adolescent SRH and the risk of having multi-illness in early adulthood, seen as a proxy for later multimorbidity. This finding warrants greater attention to SRH in adolescence as a possible indicator in targeted prevention of future health problems.

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OBJECTIVE: Bullying victimization among adolescents has been well-recognized as a behavior associated with adverse psychological and mental health outcomes. Most studies on bullying victimization have focused on adolescents, but research is sparse regarding school victimization among preadolescents before they transition to adolescence. This study sought to identify latent classes of different types of co-occurring bullying victimization, based on a sample of 3829 school students in grades 5-8, ages 9-14 in the year of 2011 from the Saskatoon Health Region, Saskatchewan, Canada. RESULTS: Using a latent class analysis approach, the results uncovered three groups of victimized students, including those who were aggressively victimized (7.2%), moderately victimized (34.6%) and non-victimized (58.2%). Younger age and being overweight was associated with a higher likelihood of bullying victimization. Moderately and aggressively victimized students had greater probabilities of feeling like an outsider, experiencing anxiety, depressed moods, engaging in suicidal ideation and drinking when compared to non-victimized students. Peer and parent supports had significant protective effects against being victimized. Given the negative consequences of recurrent victimization among the preadolescents, it is imperative to address bullying incidents as they occur to prevent repeated transgressions, especially for those who suffer from multiple types of victimization.

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Research on activities overlooks the possibility that older adults engage in different activities contemporaneously. To address this gap, we used latent class analyses to identify activity patterns and then examined demographic and health correlates of these patterns among a nationally representative sample of older adults in Singapore. We identified four classes of activities: the family-focused instrumental activity (FIA) class, the social leisure activity (SLA) class, the multidynamic activity (MDA) class, and the passive activity (PA) class. Furthermore, the MDA members showed higher scores in their mental health. Worse physical functioning and higher depression scores also increased the likelihood of being in the FIA and PA groups. Significant demographics such as gender, ethnicity, marital status, education, employment, house type, and income were related to heterogeneity in older adults' activity patterns. Service providers might consider the impact of certain significant demographic and health-related correlates when planning programs to ensure greater reach and access.

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