UNASSIGNED: 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.
UNASSIGNED: This study analysed the potential barriers and influencing factors of psychological help-seeking among nurses participating in community COVID-19 epidemic prevention work.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.

UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.

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.

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.

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.

Migraine is heritable and formally diagnosed by structured criteria that require presence of some but not all possible migraine symptoms which include aura, several distinct manifestations of pain, nausea/vomiting, and sensitivity to light or sound. The most recent genome-wide genetic association study (GWAS) for migraine identified 38 loci. We investigated whether 46 single-nucleotide polymorphisms (SNPs), i.e., genetic variants, at these loci may have especially pronounced, i.e., selective, association with migraine presenting with individual symptoms compared to absence of migraine. Selective genetic associations of SNPs were evaluated through a likelihood framework in the Women\'s Genome Health Study (WGHS), a population-based cohort of middle-aged women including 3,003 experiencing migraine and 18,108 not experiencing migraine, all with genetic information. SNPs at 12 loci displayed significant selective association for migraine subclassified by specific symptoms, among which six selective associations are novel. Symptoms showing selective association include aura, nausea/vomiting, photophobia, and phonophobia. The selective associations were consistent whether the women met all formal criteria for diagnostic for migraine or lacked one of the diagnostic criteria, formally termed probable migraine. Subsequently, we performed latent class analysis of migraine diagnostic symptoms among 69,861 women experiencing migraine from the WGHS recruitment sample to assess whether there were clusters of specific symptoms that might also have a genetic basis. However, no globally robust latent migraine substructures of diagnostic symptoms were observed nor were there selective genetic associations with specific combinations of symptoms revealed among weakly supported latent classes. The findings extend previously reported selective genetic associations with migraine diagnostic symptoms while supporting models for shared genetic susceptibility across all qualifying migraine at many loci.

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.
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).
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.
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.

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.

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.

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.