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Introduction Subjective cognitive decline (SCD) represents self‐reported problems with memory, a possible early sign of dementia. Little is known about SCD among sexual and gender minority (SGM) adults who identify as lesbian, gay, bisexual, and/or transgender or gender non‐binary. Methods Data were weighted to represent population estimates from 25 states’ 2015–2018 Behavioral Risk Factor Surveillance System to describe SCD in adults ≥45 years by SGM status. Logistic regression tested associations between demographic and health conditions. Results SCD prevalence was higher in SGM (15.7%; 95% confidence interval [CI]:13.1–18.2) than in non‐SGM adults (10.5%; 95% CI:10.1–10.9; P < .0001). SGM adults with SCD were also more likely to report functional limitations due to SCD than non‐SGM adults with SCD, 60.8% versus 47.8%, P = .0048. Differences in SCD by SGM status were attenuated after accounting for depression. Discussion Higher prevalence of SCD in SGM adults highlights the importance of ensuring inclusive screenings, interventions, care services, and resources for SGM adults.

About 17% of humanity goes through an episode of major depression at some point in their lifetime. Despite the enormous societal costs of this incapacitating disorder, it is largely unknown how the likelihood of falling into a depressive episode can be assessed. Here, we show for a large group of healthy individuals and patients that the probability of an upcoming shift between a depressed and a normal state is related to elevated temporal autocorrelation, variance, and correlation between emotions in fluctuations of autorecorded emotions. These are indicators of the general phenomenon of critical slowing down, which is expected to occur when a system approaches a tipping point. Our results support the hypothesis that mood may have alternative stable states separated by tipping points, and suggest an approach for assessing the likelihood of transitions into and out of depression.

Background: The study aimed to explore the psychometric properties of two versions of the Patient Health Questionnaires (PHQ-9 and PHQ-2) on screening for Major Depressive Disorder (MDD) among Spanish-speaking Latin American adult immigrants in Santiago, and to explore factors associated with a higher risk of occurrence of MDD among them. Methods: A representative sample of 897 Spanish-speaking immigrants completed the PHQ-9. The Composite International Diagnostic Interview (CIDI) was employed to evaluate MDD. Internal consistency and structural validity were evaluated using Cronbach’s α coefficient and confirmatory factor analysis (CFA). Convergent validity with the 7-item General Anxiety Disorder Scale (GAD-7) was assessed using Spearman’s correlations. Sensitivity, specificity, positive predictive values, and area under the receiver operating characteristic (ROC) curve were calculated for different cut-off points. Logistic regression analysis was used to identify factors associated with the risk of MDD. Results: Cronbach’s α coefficient of the PHQ-9 was 0.90; item-total correlation coefficients ranged from 0.61 to 0.76 and correlation with the GAD-7 was moderate (r = 0.625; p < 0.001). CFA on three alternative models suggests a plausible fit in the overall sample and among two of the subsamples: Peruvians and Venezuelans. Taking the results of CIDI as the gold standard for MDD, the area under the ROC curve was 0.91 (95% confidence interval (CI): 0.83~1.0). When the cut-off score was equal to 5, values of sensitivity, specificity, and Youden’s index were 0.85, 0.90, and 0.75, respectively. Multivariate logistic regression analyses showed that the influence of having three or more children (OR = 3.91, 95% CI: 1.20~12.81; p < 0.05), residency in Chile of up to three years (OR = 1.79, 95% CI: 1.07~3.00; p < 0.05), active debt (OR = 2.74, 95% CI: 1.60~4.70; p < 0.001), a one (OR = 2.01, 95% CI: 1.03~3.94; p < 0.05) and two or more events of adversity during childhood (OR = 5.25, 95% CI: 1.93~14.3; p < 0.01) on the occurrence of MDD was statistically significant. Reliability (α = 0.62), convergent (r = 0.534; p < 0.01) and criterion (AUC = 0.85, 95% CI: 0.67~1.00) validity coefficients of the PHQ-2 were weaker than for the PHQ-9. Conclusions: The PHQ-2 and the PHQ-9 are reliable and valid instruments for use as screeners for MDD among Spanish-speaking populations of Latin America.

Experimental work in animals has shown that DNA methylation (DNAm), an epigenetic mechanism regulating gene expression, is influenced by typical variation in maternal care. While emerging research in humans supports a similar association, studies to date have been limited to candidate gene and cross-sectional approaches, with a focus on extreme deviations in the caregiving environment. Here, we explored the prospective association between typical variation in maternal sensitivity and offspring epigenome-wide DNAm, in a population-based cohort of children ( = 235). Maternal sensitivity was observed when children were 3- and 4-years-old. DNAm, quantified with the Infinium 450 K array, was extracted at age 6 (whole blood). The influence of methylation quantitative trait loci (mQTLs), DNAm at birth (cord blood), and confounders (socioeconomic status, maternal psychopathology) was considered in follow-up analyses. Genome-wide significant associations between maternal sensitivity and offspring DNAm were observed at 13 regions ( < 1.06 × 10 ), but not at single sites. Follow-up analyses indicated that associations at these regions were in part related to genetic factors, confounders, and baseline DNAm levels at birth, as evidenced by the presence of mQTLs at five regions and estimate attenuations. Robust associations with maternal sensitivity were found at four regions, annotated to , , , and . These findings provide novel leads into the relationship between typical variation in maternal caregiving and offspring DNAm in humans, highlighting robust regions of associations, previously implicated in psychological and developmental problems, immune functioning, and stress responses.

Objectives: We quantified adherence to COVID-19 preventive measures and explored associated factors, after the first and during the second Swiss epidemic waves. Methods: With an observational cohort study in a representative sample of individuals aged 15 years and more, we analysed the association between self-reported adherence to COVID-19 preventive measures (respect of simple hygiene rules; respect of social distancing rules; wearing a mask) and socio-demographic factors, the existence of a chronic disease, and the existence of a previous confirmed COVID-19 episode. Results: Highest adherence was to simple hygiene rules, followed by social distancing rules and mask wearing, with a slight decrease for simple hygiene rules and a strong increase for mask wearing between visits. Men were significantly less likely to respect simple hygiene rules and wear a mask in public. Participants aged 65 years and more (versus 25–64 years) and those with at least one chronic disease (versus none) were two times more likely to respect social distancing rules and wear a mask. Conclusion: Adherence to social distancing rules and mask wearing was rather poor, especially compared to other countries.

Background Food intake is a complex behaviour which can be assessed using dietary patterns. Our aim was to characterize dietary patterns and associated factors in French-speaking Switzerland. Methods Cross-sectional study conducted between 2009 and 2012 in the city of Lausanne, Switzerland, including 4372 participants (54% women, 57.3 ± 10.3 years). Food consumption was assessed using a validated food frequency questionnaire. Dietary patterns were assessed by principal components analysis. Results Three patterns were identified: “Meat & fries”; “Fruits & Vegetables” and “Fatty & sugary”. The “Meat & fries” pattern showed the strongest correlations with total and animal protein and cholesterol carbohydrates, dietary fibre and calcium. The “Fruits & Vegetables” pattern showed the strongest correlations with dietary fibre, carotene and vitamin D. The “Fatty & sugary” pattern showed the strongest correlations with total energy and saturated fat. On multivariate analysis, male gender, low educational level and sedentary status were positively associated with the “Meat & fries” and the “Fatty & sugary” patterns, and negatively associated with the “Fruits & Vegetables” pattern. Increasing age was inversely associated with the “Meat & fries” pattern; smoking status was inversely associated with the “Fruits & Vegetables” pattern. Being born in Portugal or Spain was positively associated with the “Meat & fries” and the “Fruits & Vegetables” patterns. Increasing body mass index was positively associated with the “Meat & fries” pattern and inversely associated with the “Fatty & sugary” pattern. Conclusions Three dietary patterns, one healthy and two unhealthy, were identified in the Swiss population. Several associated modifiable behaviours were identified; the information on socio- demographic determinants allows targeting of the most vulnerable groups in the context of public health interventions.

Objectives: To evaluate the prevalence of numerous risky driving behaviors (RDBs) and the associated risk of road traffic accidents (RTA) in a population-based sample of adolescent drivers (14–19 years) of Tuscany, Italy. Methods: The frequency of participation -by age and sex- often RDBs were investigated: Multivariable analyses were performed to evaluate the association between RDBs and the risk of RTA and severe RTA. Results: 2,737 adolescents were included in the study. Talking to passenger(s), listening to loud music, speeding, and texting showed the highest weekly participation rates. For all the considered RDBs, the frequency of participation significantly increased with age. Males reported a significantly higher participation in speeding, DUI of alcohol or drugs; while females reported listening to loud music and talking to passenger(s) more frequently. All the considered RDBs were significantly associated with the risk of RTA and severe RTA. Conclusion: The prevalence of RDBs and the associated risk of RTA largely varied in adolescents. Findings provide evidence for tailoring prevention interventions and suggest the need to include common- but traditionally overlooked- RDBs in road safety campaigns.

ObjectivesTo assess the level of functional health literacy (HL) and its antecedents and consequences in an adult population-based sample, using the Italian version of Newest Vital Sign (NVS-IT).DesignCross-sectional study.SettingGeneral population.Participants984 people were randomly selected from the resident registers of 11 general practitioners; a total of 452 (46.2%) of the selected people completed the study. Inclusion criteria were the following: 18–69 years of age and Italian speaking. Exclusion criteria included cognitive impairment, severe psychiatric diseases and end-stage diseases.Outcome measuresHL levels as assessed by the NVS-IT and the following potential HL predictors and consequences were assessed using logistic regression models: sociodemographic characteristics, body mass index, presence of long-term illnesses, self-reported health status, health services use in the last 12 months.ResultsHigh likelihood of limited HL, possibility of limited HL and adequate HL were found in 11.5%, 24.6% and 63.9% of the sample, respectively. The results of the multivariate logistic model for the antecedents showed that the risk of having high likelihood or possibility of limited HL levels increases with age (OR 1.07, 95% CI 1.05 to 1.09), lower educational level (OR 4.03; 95% CI 3.41 to 7.49) and with worse financial situation (OR 1.64; 95% CI 1.17 to 2.63). As far as health outcomes are concerned, HL resulted to be positively associated with self-reported health status (OR 2.25, 95% CI 1.75 to 2.75).ConclusionsFindings show a good level of functional HL in the population. However, older, less educated and poorer population groups showed to have a higher likelihood of suffering from limited or inadequate HL. Efforts should be made to design and implement public health policies and interventions tailored to different HL levels.Trial registration numberCEAVC:10113.

Canonical correlation analysis (CCA) and partial least squares correlation (PLS) detect linear associations between two data matrices by computing latent variables (LVs) having maximal correlation (CCA) or covariance (PLS). This study compared the similarity and generalizability of CCA- and PLS-derived brain-behavior relationships. Data were accessed from the baseline Adolescent Brain Cognitive Development (ABCD) dataset (N > 9,000, 9–11 years). The brain matrix consisted of cortical thickness estimates from the Desikan-Killiany atlas. Two phenotypic scales were examined separately as the behavioral matrix; the Child Behavioral Checklist (CBCL) subscale scores and NIH Toolbox performance scores. Resampling methods were used to assess significance and generalizability of LVs. LV1 for the CBCL brain relationships was found to be significant, yet not consistently stable or reproducible, across CCA and PLS models (singular value: CCA = .13, PLS = .39, p < .001). LV1 for the NIH brain relationships showed similar relationships between CCA and PLS and was found to be stable and reproducible (singular value: CCA = .21, PLS = .43, p < .001). The current study suggests that stability and reproducibility of brain-behavior relationships identified by CCA and PLS are influenced by the statistical characteristics of the phenotypic measure used when applied to a large population-based pediatric sample.

There has been little research on whether younger children with developmental coordination disorder (DCD) symptoms have an increased risk for emotional and behavioral problems. This study examined whether coordination difficulties are associated with emotional and behavioral problems (emotional symptoms, conduct problems, hyperactivity/inattention, peer problems, reduced prosocial behavior) in preschool children and the role of autistic traits in this association. Data ( N  = 1042, age 58–71 months) were analyzed from the Tama Children’s Survey (TCS). The Little Developmental Coordination Disorder Questionnaire (LDCDQ) was used to measure coordination difficulty symptoms. Information was obtained on emotional/behavioral problems using the Strengths and Difficulties Questionnaire (SDQ) and on autistic traits with the Social Responsiveness Scale (SRS). Higher autistic traits were based on SRS cutoff scores (53.5 for boys and 52.5 for girls). Logistic regression analysis was used to assess associations between the variables. In adjusted models, children with probable DCD (pDCD) were significantly more likely to score above the clinical thresholds on all SDQ emotional/behavioral domains. However, nearly all of these associations became nonsignificant after including autistic traits in the analysis. Additional analyses showed that children with pDCD with higher autistic traits had significantly increased odds for emotional problems (odds ratio [OR]: 4.47, 95% confidence interval [CI]: 1.52–13.19), hyperactivity/inattention (OR: 3.74, 95% CI: 1.45–9.64), peer problems (OR: 15.81, 95% CI: 5.96–41.99), and total difficulties (OR: 28.78, 95% CI: 7.23–114.57), compared to children with pDCD alone. These results indicate that the increased risk of emotional/behavioral difficulties in preschool children with pDCD might be mediated by autistic traits.