Prediabetes and the risk of type 2 diabetes: Investigating the roles of depressive and anxiety symptoms in the Lifelines cohort study.

AIMS: Depression and anxiety may increase the risk of progressing from prediabetes to type 2 diabetes. The present study examined the interactions between prediabetes status and elevated depressive and anxiety symptoms with the risk of type 2 diabetes. METHODS: Participants (N = 72,428) were adults aged 40 years and above without diabetes at baseline from the Lifelines Cohort Study (58% female; mean age = 51.4 years). The Mini-International Neuropsychiatric Interview screened for elevated symptoms of major depressive disorder and generalized anxiety disorder. Glycated haemoglobin A1c (HbA1c ) levels determined prediabetes status at baseline (2007-2013), and HbA1c and self-reported diabetes diagnoses determined diabetes status at follow-up (2014-2017). Groups were formed for elevated depressive and anxiety symptoms, respectively, and prediabetes status at baseline (elevated depressive/anxiety symptoms with prediabetes, elevated depressive/anxiety symptoms alone, and prediabetes alone), and compared to a reference group (no prediabetes or anxiety/depression) on the likelihood of developing diabetes during the follow-up period. RESULTS: N = 1300 (1.8%) participants developed diabetes. While prediabetes alone was associated with incident diabetes (OR = 5.94; 95% CI = 5.10-6.90, p < 0.001), the group with combined prediabetes and depressive symptoms had the highest likelihood of developing diabetes over follow-up (OR = 8.29; 95% CI = 5.58-12.32, p < 0.001). Similar results were found for prediabetes and anxiety symptoms (OR = 6.57; 95% CI = 4.62-9.33, p < 0.001), compared to prediabetes alone (OR = 6.09; 95% CI = 5.23-7.11, p < 0.001), though with a smaller effect. The interaction between depressive symptoms and prediabetes was synergistic in age-and-sex adjusted analyses. CONCLUSIONS: Individuals with elevated depressive, and to some extent anxiety, symptoms in combination with prediabetes may represent a high-risk subgroup for type 2 diabetes.

Adverse childhood experiences and cognitive function in adulthood: examining the roles of depressive symptoms and inflammation in a prospective cohort study.

PURPOSE: Adverse childhood experiences (ACEs) have been associated with cognitive decline in adulthood. However, the underlying mechanisms implicated remain unclear. This study investigated depressive symptoms and systemic inflammation as potential mediators of the association between ACEs and later cognitive function. METHODS: Participants were adults aged 50 + from the English Longitudinal Study of Ageing (N = 3029; 54.8% female). Measures included self-reported ACEs at wave 3 (2006-2007), C-reactive protein (CRP) and depressive symptoms at wave 4 (2008-2009), and cognitive function at waves 3 and 7 (2014-2015). Mediation analyses examined the direct associations between ACEs and cognitive function at wave 7 and the indirect associations via depressive symptoms and CRP at wave 4. In a first set of analyses, models were adjusted for sociodemographic factors and baseline cognitive function. In a second set of analyses, models were additionally adjusted for BMI and health behaviours (n = 1915). RESULTS: Cumulative ACEs exposure positively predicted depressive symptoms (b = 0.184, s.e. = 0.034, p < .001), which in turn predicted poorer cognitive function at wave 7 (b = - 0.035, s.e. = 0.008, p < .001). ACEs also positively predicted systemic inflammation as measured by CRP (b = 0.031, s.e. = 0.01, p = 0.0016). However, CRP did not mediate the association between ACEs and later cognitive function (b = - 0.0002, 95% CI: - 0.002, 0.002). CONCLUSION: These findings suggest that ACEs may be related to cognitive decline partly via depressive symptoms and corroborate prior research linking ACEs with systemic inflammation in adulthood.

Implicit Affect, Heart Rate Variability, and the Metabolic Syndrome.

OBJECTIVE: Greater negative affect has been associated with an increased risk of the metabolic syndrome (METs). However, all studies to date have examined this association using explicit affect measures based on subjective ratings of emotional experiences. Prior studies suggest that implicit affect, representing the automatic, prereflective appraisal process involved in conscious emotional experiences, is associated with physiological stress responses independent of explicit affect. Furthermore, low resting heart rate variability (HRV) may increase the risk of stress-related diseases. The goals of this study were to evaluate the associations between implicit and explicit affect and METs and to assess whether these associations were amplified by lower HRV. METHODS: This secondary analysis of a larger study included 217 middle-aged women who completed measures of implicit affect, explicit affect, high-frequency HRV, and the different components of METs. RESULTS: There was a significant interaction between implicit negative affect and HRV predicting METs (odds ratio = 0.57, 95% confidence interval = 0.35-0.92), such that the combination of higher implicit affect and lower HRV was associated with a greater likelihood of METs. Similarly, there was a main effect of implicit negative affect as well as an interaction between implicit negative affect and HRV on the lipid accumulation product (b (standard error) = -0.06 (0.02), 95% confidence interval = -0.11 to -0.02), a combination of waist circumference and triglycerides. CONCLUSIONS: Higher implicit negative affect in the context of lower HRV may be related to a greater risk of METs. The present findings highlight the relevance of including implicit affect measures in psychosomatic medicine research.

Association between depressive symptoms, metabolic risk factors, and cognitive function: cross-sectional results from a community study in Quebec, Canada.

OBJECTIVE: To investigate the cross-sectional association between depressive symptoms and metabolic risk factors with cognitive function in a middle-aged population. METHODS: A stratified subsample of the CARTaGENE (CaG) cohort (n = 1991) was used to compare cognitive function outcomes between groups. The stratification was based on the presence of depressive symptoms and metabolic dysregulation (MetD): the presence of a) neither condition (reference group); b) MetD only; c) depressive symptoms only; and d) both depressive symptoms and MetD. Individuals with type 2 diabetes were excluded. Three cognitive domains were assessed: processing speed, episodic memory, and executive function. An overall cognitive function score, standardized for age and education, was computed. Poor cognitive function was defined as the lower quartile of the overall cognitive function distribution. Linear and logistic regression analyses were conducted. RESULTS: The poorest cognitive performance was observed in the group with both depressive symptoms and MetD, followed by the group with depressive symptoms only, then the group with MetD only and the reference group. Mean (SD) overall cognition scores for the four groups were -0.25 (1.13), -0.13 (1.05), 0.11 (0.90), and 0.15 (0.93), respectively. Linear regression analyses suggested a linear increase in cognitive function across groups.In the logistic regression analyses, the highest risk of poor cognitive function was observed in the comorbid (depressive symptoms and MetD) group (adjusted OR = 1.99, 95% CI 1.46, 2.71). CONCLUSION: Comorbidity of depressive symptoms and MetD was associated with reduced cognitive performance in middle-aged adults without diabetes.KEY POINTSPoor cognitive function is a major public health concern and can be potentially prevented by targeting its modifiable risk factors.Metabolic dysregulation and depression have both been independently associated with poor cognitive function.Comorbidity of metabolic dysregulation and depressive symptoms is associated with an increased risk of poor cognitive function in middle-aged individuals.Future health interventions might benefit by screening for comorbidity in patients with poor cognitive function and by targeting depression and metabolic dysregulation together.

Anxiety and Depression Symptom Comorbidity and the Risk of Heart Disease: A Prospective Community-Based Cohort Study.

OBJECTIVE: The goal of this study was to examine the independent and joint associations between anxiety and depression symptoms with the risk of heart disease. METHODS: A total of 30,635 participants from the CARTaGENE community cohort study in Quebec who did not have heart diseases at baseline were included in the study. Baseline anxiety and depression symptoms were assessed using validated questionnaires. Survey data were linked with diagnostic codes from a public insurance database to examine incident heart disease during a 7-year follow-up period. Cox regression analyses were conducted comparing groups with high anxiety only, high depression only, comorbid anxiety and depression, and no/low symptoms of both on the risk of heart disease. Additional analyses examined anxiety and depression using continuous questionnaire symptom scores, data-driven comorbidity groups, and diagnostic codes. Covariates included sociodemographic characteristics, health behaviors, diabetes, and hypertension. RESULTS: In the main analyses, we found that, although depression without anxiety symptoms was associated with an increased risk of heart disease (hazard ratio = 1.35, 95% confidence interval = 1.04-1.74), there was no significant association for anxiety without depression symptoms (hazard ratio = 1.00, 95% confidence interval = 0.71-1.41). High anxiety assessed with diagnostic codes or by examining latent classes was, however, associated with a higher risk of heart disease. CONCLUSIONS: The association between anxiety and incident heart disease may be accounted for by comorbid depression, particularly when anxiety and depression symptoms are assessed using self-report questionnaires. Differing methods of assessment and analysis, and adjustment for comorbid depression may explain differences in findings across different studies on anxiety and the risk of heart disease.

The association between job strain, depressive symptoms, and cardiovascular disease risk: results from a cross-sectional population-based study in Québec, Canada.

PURPOSE: Job strain (high psychological demands and low decision control) has been associated with cardiovascular disease (CVD). It is unclear if job strain is associated with CVD risk score independently of depression, an established risk factor for CVD. This study investigated whether there is an association between job strain and CVD risk score, when depressive symptoms are controlled for. Sex differences were examined. METHODS: Data came from the CARTaGENE study, a community health survey of adults in Québec, Canada (n = 7848). Participants were working adults aged 40-69 years. CVD risk was estimated using the Framingham risk score. Job strain was measured as the ratio of job demands to control using the Job Content Questionnaire. Depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9). Regression analyses were conducted to examine the association between job strain and CVD risk score controlling for depressive symptoms. There was no interaction effect between job strain and depressive symptoms in the association with CVD risk score. RESULTS: High job strain was reported in approximately 21% of participants, high Framingham risk score was observed in approximately 9%. Job strain was associated with the Framingham risk score (B = 0.73, p < 0.001, adjusted for age, sex, and education) and controlling for depressive symptoms did not significantly change the association (B = 0.59, p < 0.001). CONCLUSION: The results suggest that the job strain is associated with CVD risk score and that this association is not explained by depressive symptoms. Similar associations were observed for males and females.

Dyadic associations between physical activity and body mass index in couples in which one partner has diabetes: results from the Lifelines cohort study.

Physical activity and body mass index (BMI) are linked to the prevention and management of type 2 diabetes (T2D). Romantic partners influence each other's health and the behavioral management of T2D often involves both partners. Therefore, this study examined dyadic associations between physical activity and BMI in couples in which one partner has T2D. Data came from the Lifelines cohort study. The actor-partner interdependence model was applied to cross-sectional data from 1133 couples in which only one partner had T2D. The physical activity of the person with diabetes was inversely associated with his/her partner's BMI. However, partner physical activity was not associated with the BMI of the person with diabetes. These results suggest that people with diabetes may influence the BMI of their partners. Future research should consider how people with diabetes influence the health outcomes of their partners, which is an area that is often overlooked in the literature.

Trajectories of social support in adults with type 2 diabetes: Associations with depressive symptoms and functional disability.

OBJECTIVES: Little is known about temporal trajectories of social support in adults with type 2 diabetes (T2D) and how they are associated with diabetes-related outcomes. This study identified and explored different trajectories of social support in a community sample of adults with T2D, as well as the extent to which different trajectories were prospectively associated with depressive symptoms and functional disability. METHODS: Data came from five annual waves of the Evaluation of Diabetes Treatment study (N = 1077). Social support, depressive symptoms, and functional disability were assessed via self-report. Separate analyses were conducted to examine the associations between social support trajectories, depressive symptoms, and functional disability, adjusting for demographic characteristics, diabetes-related covariates, and baseline depressive symptoms and functional disability. RESULTS: Latent class growth modeling identified four distinct social support trajectories. Trajectory Groups 1 and 2 comprised participants with persistently low and persistently moderate-low social support, respectively. Trajectory Groups 3 and 4 included participants with persistently moderate-high and persistently high social support, respectively. People with persistently low social support reported higher functional disability relative to those with persistently moderate-high and persistently high social support. CONCLUSIONS: The findings of the present study indicate that temporal patterns of social support are a predictor of future functional disability among adults with T2D.

Cardiometabolic dysregulation and cognitive decline: potential role of depressive symptoms.

BACKGROUND: Previous studies have examined associations of cardiometabolic factors with depression and cognition separately. Aims To determine if depressive symptoms mediate the association between cardiometabolic factors and cognitive decline in two community studies. METHOD: Data for the analyses were drawn from the Rotterdam Study, the Netherlands (n = 2940) and the Whitehall II study, UK (n = 4469). RESULTS: Mediation analyses suggested a direct association between cardiometabolic factors and cognitive decline and an indirect association through depression: poorer cardiometabolic status at time 1 was associated with a higher level of depressive symptoms at time 2 (standardised regression coefficient 0.07 and 0.06, respectively), which, in turn, was associated with greater cognitive decline between time 2 and time 3 (standardised regression coefficient of -0.15 and -0.41, respectively). CONCLUSIONS: Evidence from two independent cohort studies suggest an association between cardiometabolic dysregulation and cognitive decline and that depressive symptoms tend to precede this decline. Declaration of interest None.

Do mental disorders moderate the association between diabetes status and alcohol consumption?

Although heavy alcohol consumption is associated with diabetes-related complications, little is known about patterns of alcohol use among people with diabetes. Moreover, heavy drinking is more common among individuals with major depressive disorder (MDD), bipolar disorder (BD), and generalized anxiety disorder (GAD) than in the general population, and these disorders are often comorbid with diabetes. The present study tested the hypothesis that mental disorders moderate the association between diabetes status and alcohol consumption. A total of 14,302 adult participants aged 40-79 were included from the cross-sectional 2012 Canadian Community Health Survey-Mental Health (1,698 with diabetes). Data were analyzed using hierarchical linear regression models. MDD and BD, but not GAD, significantly moderated the association between diabetes status and alcohol quantity, such that the presence of diabetes was strongly and negatively associated with alcohol quantity if individuals had MDD or BD. There was no interaction between diabetes status and any of the mental disorders and alcohol frequency. This study suggests that among individuals with diabetes, those with comorbid MDD or BD drink less than those without MDD or BD. Further investigation of this association is needed and could help inform future alcohol-related interventions among individuals with diabetes.

Diabetes Complications and Depressive Symptoms: Prospective Results From the Montreal Diabetes Health and Well-Being Study.

OBJECTIVE: Prospective studies testing the potential impact of diabetes complications on depression are limited. The present study examined the longitudinal associations between diabetes complications and the risk and recurrence/persistence of depressive symptoms. METHODS: Data were from a prospective community cohort telephone survey of adults with diabetes (N = 1314). Diabetes complications and depressive symptoms were assessed via self-report (Diabetes Complications Index and Patient Health Questionnaire-9, respectively) at baseline and annually for 5 years. Statistical models adjusted for sociodemographic, lifestyle, and diabetes characteristics. RESULTS: The number of diabetes complications at baseline was positively associated with a greater risk of elevated depressive symptoms, with the highest risk found for those with four to six complications at baseline (risk ratio = 2.73, 95% confidence interval = 1.64-4.56). Cerebrovascular disease was the complication most strongly associated with incident depressive symptoms (risk ratio = 2.22, 95% confidence interval = 1.59-3.10). Coronary artery disease, peripheral vascular disease, and neuropathy were also associated with the risk of depression, whereas foot problems and eye problems were not. In addition, a greater number of diabetes complications were associated with recurrent/persistent depression, though with a small effect size (Δr = .02). A parallel process latent growth curve model indicated that increases in diabetes complications were associated with increases in depressive symptoms during the course of the follow-up period (ß = .74, p < .001). CONCLUSIONS: This study demonstrates the temporal relation between diabetes complications and depressive symptoms and underscores the psychological burden of diabetes complications by prospectively demonstrating the increased risk and recurrence of depressive symptoms associated with diabetes complications.

High-Frequency Heart Rate Variability Reactivity and Trait Worry Interact to Predict the Development of Sleep Disturbances in Response to a Naturalistic Stressor.

BACKGROUND: High-frequency heart rate variability (HF-HRV) reactivity was proposed as a vulnerability factor for stress-induced sleep disturbances. Its effect may be amplified among individuals with high trait worry or sleep reactivity. PURPOSE: This study evaluated whether HF-HRV reactivity to a worry induction, sleep reactivity, and trait worry predict increases in sleep disturbances in response to academic stress, a naturalistic stressor. METHOD: A longitudinal study following 102 undergraduate students during an academic semester with well-defined periods of lower and higher academic stress was conducted. HF-HRV reactivity to a worry induction, trait worry using the Penn State Worry Questionnaire, and sleep reactivity using the Ford Insomnia Stress Reactivity Test were measured during the low stress period. Sleep disturbances using the Pittsburgh Sleep Quality Index were assessed twice during the lower stress period and three times during the higher stress period. RESULTS: Greater reductions in HF-HRV in response to the worry induction predicted increases in sleep disturbances from the lower to the higher academic stress period. Trait worry moderated this association: individuals with both higher trait worry and greater HF-HRV reactivity to worry had larger increases in stress-related sleep disturbances over time, compared to participants with lower trait worry and HF-HRV reactivity. A similar, but marginally significant effect was found for sleep reactivity. CONCLUSION: This study supports the role of HF-HRV reactivity as a vulnerability factor for stress-induced sleep disturbances. The combination of high trait worry and high HF-HRV reactivity to worry might identify a subgroup of individuals most vulnerable to stress-related sleep disturbances.

Does Social Support Moderate the Association Among Major Depression, Generalized Anxiety Disorder, and Functional Disability in Adults With Diabetes?

BACKGROUND: Diabetes requires complex self-management routines to prevent the development of functional disability. Relative to people without diabetes, those with diabetes are more likely to have comorbid major depressive disorder (MDD) and generalized anxiety disorder (GAD), which also increase the likelihood of functional disability. Social support is associated with positive health outcomes in people with comorbid diabetes and mental disorders and may serve as a buffer against functional disability, though this possibility has yet to be examined. OBJECTIVES: This study examined whether social support moderates the association between MDD or GAD and functional disability in adults with diabetes. Adults with MDD or GAD were expected to report greater disability than those without MDD or GAD. This association was expected to be stronger in people reporting lower social support relative to those reporting higher social support. METHODS: Data came from the cross-sectional 2012 Canadian Community Health Survey-Mental Health (n = 1764). Diabetes status, social support, and functional disability were assessed via self-report; past-year MDD and GAD were assessed with structured diagnostic interviews. RESULTS: Linear regression analyses, conducted separately for MDD and GAD, indicated main effects of past-year MDD and GAD, such that those with a mental disorder reported greater functional disability than those without a mental disorder. Social support did not moderate the associations between either MDD and functional disability or GAD and functional disability. CONCLUSIONS: In this nationally representative population study, both MDD and GAD predicted greater functional disability in adults with diabetes. Social support, however, did not moderate these associations.

Associations between Depressive Symptoms and Social Support in Adults with Diabetes: Comparing Directionality Hypotheses with a Longitudinal Cohort.

BACKGROUND: Individuals with diabetes are at increased risk of elevated depressive symptoms, and social support has been identified as a key factor in the health of this population. Cross-sectional associations between depressive symptoms and social support have been demonstrated. Three classes of hypotheses differentially describe the direction of this association: (1) depressive symptoms influence social support, (2) social support influences depressive symptoms, and (3) reciprocal associations exist between depressive symptoms and social support. PURPOSE: The aim of this study was to compare these hypotheses. METHODS: Depressive symptoms and social support were measured via telephone survey in a large cohort study of individuals with diabetes (n = 1754) in Quebec, Canada. After baseline, data were collected annually for 4 years. Path models depicting each hypothesis, as well as a stability model containing only autoregressive effects, were generated, and model fit was compared with Akaike's Information Criterion (AIC). RESULTS: The reciprocal model was selected as the best fitting model because it had the lowest AIC. This model demonstrated that depressive symptoms predicted subsequent social support at all time points and that social support predicted subsequent depressive symptoms at most time points. CONCLUSIONS: It appears that the association between depressive symptoms and social support in people with diabetes is best characterized as reciprocal. Results underscore the importance of directly comparing competing hypotheses and offer a more accurate depiction of the association between depressive symptoms and social support among people with diabetes.

Respiratory sinus arrhythmia during worry forecasts stress-related increases in psychological distress.

Respiratory sinus arrhythmia (RSA) has been conceptualized as an index of emotion regulation abilities. Although resting RSA has been associated with both concurrent and prospective affective responses to stress, the impact of RSA reactivity on emotional responses to stress is inconsistent across studies. The type of emotional stimuli used to elicit these phasic RSA responses may influence the adaptive value of RSA reactivity. We propose that RSA reactivity to a personally relevant worry-based stressor might forecast future affective responses to stress. To evaluate whether resting RSA and RSA reactivity to worry inductions predict stress-related increases in psychological distress, an academic stress model was used to prospectively examine changes in psychological distress from the well-defined low- and high-stress periods. During the low-stress period, 76 participants completed self-report mood measures and had their RSA assessed during a resting baseline, free worry period and worry catastrophizing interview. Participants completed another mood assessment during the high-stress period. Results indicated that baseline psychological distress predicted larger decreases in RSA during the worry inductions. Lower resting RSA and greater RSA suppression to the worry inductions at baseline prospectively predicted larger increases in psychological distress from the low- to high-stress period, even after accounting for the impact of baseline distress on RSA. These results provide further evidence that RSA may represent a unique index of emotion regulation abilities in times of stress.

Intolerance of uncertainty mediates the relation between generalized anxiety disorder symptoms and anger.

Previous research has shown that individuals with generalized anxiety disorder (GAD) report elevated anger compared with nonanxious individuals; however, the pathways linking GAD and anger are currently unknown. We hypothesized that negative beliefs about uncertainty, negative beliefs about worry and perfectionism dimensions mediate the relationship between GAD symptoms and anger variables. We employed multiple mediation with bootstrapping on cross-sectional data from a student sample (N = 233) to test four models assessing potential mediators of the association of GAD symptoms to inward anger expression, outward anger expression, trait anger and hostility, respectively. The belief that uncertainty has negative personal and behavioural implications uniquely mediated the association of GAD symptoms to inward anger expression (confidence interval [CI] = .0034, .1845, PM = .5444), and the belief that uncertainty is unfair and spoils everything uniquely mediated the association of GAD symptoms to outward anger expression (CI = .0052, .1936, PM = .4861) and hostility (CI = .0269, .2427, PM = .3487). Neither negative beliefs about worry nor perfectionism dimensions uniquely mediated the relation of GAD symptoms to anger constructs. We conclude that intolerance of uncertainty may help to explain the positive connection between GAD symptoms and anger, and these findings give impetus to future longitudinal investigations of the role of anger in GAD.

A network analysis of depressive symptoms in adults with and without diabetes: findings from the Irish longitudinal study on ageing.

OBJECTIVES: This study aimed to estimate networks of depressive symptoms among Irish adults with and without diabetes at two time points and compare between the two groups at each time point using data from the Irish Longitudinal Study on Ageing (TILDA). METHODS: Participants were from Wave 1 (2009-2011) and Wave 4 (2016) of TILDA, with n = 639 participants with diabetes and n = 7,837 without diabetes at Wave 1, and n = 1,151 with diabetes and n = 4,531 without diabetes at Wave 4. Depressive symptoms were measured using the 8 items of the Center for Epidemiologic Studies Depression Scale. Network psychometric analysis was used to examine symptom centrality, symptom-level associations, and network comparisons at each time point. RESULTS: Stable, strongly connected networks emerged for people with and without diabetes at both time points. The symptoms of feeling depressed, feeling like everything's an effort, not enjoying life, feeling sad, and couldn't get going were the most central nodes in all networks, which did not differ between people with and without diabetes. However, for people with diabetes, the network was more densely connected at Wave 4, when the sample was predominately people with newly diagnosed diabetes. Furthermore, the relationship between 'felt lonely' and 'couldn't get going' and between 'not enjoying life' and 'sad' was significantly stronger for people with diabetes than for those without. CONCLUSIONS: This study provides a more detailed understanding of the structure of depressive symptoms at two time points in older Irish adults with and without type 1 or type 2 diabetes.

Neighbourhood characteristics and socioeconomic inequalities in child mental health: Cross-sectional and longitudinal findings from the Growing Up in Ireland study.

This study examined the role of neighbourhood characteristics in explaining socioeconomic inequalities in child mental health (the total difficulties score from the Strengths and Difficulties Questionnaire) using data from Cohort '08 of Growing Up in Ireland Waves 3 (age 5; baseline) and 5 (age 9; follow-up). Twenty neighbourhood items were grouped into neighbourhood safety, built environments, cohesion, interaction, and disorder. Data were analysed using regression, single and multiple mediation, and network psychometric analyses. We found that neighbourhood safety, cohesion, interaction, and disorder were associated with child mental health. These four domains separately (by up to 18 %) or in concert (by up to 23 %) partially explained socioeconomic inequalities in child mental health. Built environments may explain socioeconomic inequalities in mental health in urban children only. Findings from network analysis indicated that specific concerns over "people being drunk or taking drugs in public" and "this is a safe neighbourhood" had the strongest connections with child mental health. Improving neighbourhood characteristics may be important to reduce socioeconomic inequalities in child mental health in Ireland.

Childhood maltreatment and the risk of impaired glucose metabolism or type 2 diabetes in young adults: Findings from the Lifelines Cohort Study.

We examined the associations between childhood maltreatment and the risk of impaired glucose metabolism (IGM) or type 2 diabetes (T2D) in young adults aged 18-35. Participants (N = 8506) from the Lifelines Cohort Study without IGM or diabetes at baseline (2007-2013) were included. Childhood maltreatment was assessed by the Childhood Trauma Questionnaire (CTQ) and incident IGM/T2D was assessed by haemoglobin A1c levels (≥5.7%) in 2014-2017. There were 223 (2.6%) cases of IGM/T2D during the follow-up period. After adjusting for sociodemographic and health/lifestyle covariates and follow-up time, only the CTQ Sexual Abuse subscale was significantly associated with IGM/T2D (RR = 1.05 [95% CI = 1.01, 1.10]). The association remained when additionally accounting for depressive and anxiety symptoms (RR = 1.05 [95% CI = 1.00, 1.09]). Childhood sexual abuse was associated with an increased risk of IGM/T2D in young adults, highlighting the long-term metabolic consequences of childhood maltreatment.

Trait Anger, Hostility, and the Risk of Type 2 Diabetes and Diabetes- Related Complications: A Systematic Review of Longitudinal Studies.

BACKGROUND: Research suggests associations between trait anger, hostility, and type 2 diabetes and diabetes-related complications, though evidence from longitudinal studies has not yet been synthesized. OBJECTIVE: The present systematic review examined findings from longitudinal research on trait anger or hostility and the risk of incident type 2 diabetes or diabetes-related complications. The review protocol was pre-registered in PROSPERO (CRD42020216356). METHODS: Electronic databases (MEDLINE, PsychINFO, Web of Science, and CINAHL) were searched for articles and abstracts published up to December 15, 2020. Peer-reviewed longitudinal studies with adult samples, with effect estimates reported for trait anger/hostility and incident diabetes or diabetes-related complications, were included. Title and abstract screening, full-text screening, data extraction, and quality assessment using the Newcastle-Ottawa Scale were conducted by two independent reviewers. A narrative synthesis of the extracted data was conducted according to the Synthesis Without Meta-Analysis guidelines. RESULTS: Five studies (N = 155,146 participants) met the inclusion criteria. While results were mixed, our synthesis suggested an overall positive association between high trait-anger/hostility and an increased risk of incident diabetes. Only one study met the criteria for the diabetes-related complications outcome, which demonstrated a positive association between hostility and incident coronary heart disease but no significant association between hostility and incident stroke. CONCLUSION: Based on the available longitudinal evidence, trait anger and hostility are associated with an increased risk of diabetes. Longitudinal studies are needed to investigate the association between trait-anger or hostility and the risk of diabetes-related complications.