Traffic-Calming Measures and Road Traffic Collisions and Injuries: a Spatiotemporal Analysis.

Traffic-calming measures (TCMs) are physical modifications to the road network aimed at making the roads safer. Although studies have reported reductions in road crashes and injuries tied to the presence of TCMs, they have been criticized for their pre-post designs. This study aims to complement our knowledge of TCMs effectiveness by assessing their impact using a longitudinal design. The implementation of eight TCMs, including curb extensions and speed humps, was evaluated at the intersections and census tract levels in Montreal, Canada from 2012 to 2019. The primary outcome was fatal or serious collisions among all road users. Inference was performed using a Bayesian implementation of Conditional Poisson regression in which random effects were used to account for the spatiotemporal variation in collisions. TCMs were generally implemented on local roads, although most collisions occurred on arterial roads. Overall, there was weak evidence that TCMs were associated with study outcomes. However, subgroup analyses of intersections on local roads suggested a reduction in collision rates due to TCMs (median IRR: 0.31; 95% Credible Interval: 0.12 - 0.86). To improve road safety, effective counterparts of TCMs on arterial roads must be identified and implemented.

The complex story of educational identity in adolescence: Longitudinal relations with academic achievement and perfectionism.

OBJECTIVE: Education has a strong impact on adolescent development. This study investigated the complex longitudinal associations between educational identity processes, academic achievement, and perfectionism. METHOD: The study used a 4-wave design (N = 744 adolescents, Mage = 15.2 years, 55% girls). RESULTS: Results showed that self-oriented perfectionism mediated the longitudinal relation between academic achievement and educational commitment, whereas educational commitment mediated the longitudinal relation between self-oriented perfectionism and academic achievement. Also, a unidirectional positive direct link from educational in-depth exploration to socially prescribed perfectionism was found, while self-oriented perfectionism mediated the positive relationship between academic achievement and exploration. Finally, higher academic achievement led to decreases in educational reconsideration of commitment, whereas socially prescribed perfectionism predicted increases in educational reconsideration of commitment and decreases in academic achievement. CONCLUSIONS: These findings bring forward the intricate and possibly sabotaging links between educational identity processes, academic achievement, and perfectionism.

An extended health belief model for COVID-19: understanding the media-based processes leading to social distancing and panic buying.

Building on the health belief model (HBM), this research tests, over six months, how the exposure to COVID-related information in the media affects fear, which in turn conditions beliefs about the severity of the virus, susceptibility of getting the virus, and benefits of safety measures. These health beliefs ultimately lead to social distancing and panic buying. As a first contribution, we find that fear is not directly triggered by the objective severity of a crisis, but rather formed over time by the way individuals are exposed to media. Second, we show that fear affects behaviors through the components of the HBM which relate to the risks/benefits of a situation. Last, we find that critical thinking about media content amplifies the "adaptive" responses of our model (e.g., health beliefs, social distancing) and reduces its "maladaptive" responses (e.g., panic buying). Interestingly, we note that the beneficial effect of critical thinking about media content disappears as the level of fear increases over time. The implications of these findings for policymakers, media companies, and theory are further discussed. Supplementary Information: The online version contains supplementary material available at 10.1007/s11747-022-00865-8.

Determinants of social health trajectories during the COVID-19 pandemic in older adults: the Rotterdam Study.

OBJECTIVES: The coronavirus disease-2019 (COVID-19) pandemic and accompanying lockdown restrictions impacted social life significantly. We studied associations of sociodemographic factors, mental and social health markers, and brain structure with social health trajectories during the COVID-19 pandemic. DESIGN: Prospective longitudinal population-based cohort study. SETTING: Community-dwelling inhabitants of Rotterdam, the Netherlands. PARTICIPANTS: Repeated questionnaires including questions on social health were sent to Rotterdam Study participants from April 2020 onwards. Social health data at study baseline were available for 5017 participants (mean age: 68.7 ± 11.3; 56.9% women). MEASUREMENTS: Determinants were assessed in routine Rotterdam Study follow-up (1990-2020), including global brain volumes in a subset of participants (N = 1720). We applied linear mixed models and generalized estimating equations to quantify associations between determinants and trajectories of loneliness, perceived social isolation and social connectedness over three time points from April 22nd to July 31st 2020. RESULTS: Loneliness prevalence was 27.9% in April 2020 versus 12.6% prepandemic. Social isolation (baseline mean 4.7 ± 2.4) and loneliness scores (baseline mean 4.9 ± 1.5) decreased over time, whereas social connectedness trajectories remained stable. Depressive symptoms, female sex, prepandemic loneliness, living alone, and not owning a pet were independently associated with lower social connectedness and higher social isolation and loneliness at COVID-19 baseline, but recovery of social health was similar for all determinants. Larger intracranial volume was associated with higher social connectedness. CONCLUSIONS: Despite baseline differences for specific determinants, older adults showed similar recovery of loneliness and social isolation alongside stable social connectedness over time during the pandemic. Social health is multidimensional, especially during a global health crisis.

Associations between childhood autistic traits and adolescent eating disorder behaviours are partially mediated by fussy eating.

OBJECTIVE: Previous literature shows an increased risk for eating disorders in autistic individuals. This study tested whether fussy eating contributes to the association between childhood autistic traits and adolescent eating disorder behaviours. METHOD: Using data from the Avon Longitudinal Study of Parents and Children, we estimated the intercept and slope of parent-rated autistic traits and fussy eating between 7 and 14 years (N = 8982) and their association with self-reported eating disorder behaviours at age 14 years, including the indirect path from autistic traits to eating disorder behaviours via fussy eating. Analyses were adjusted for child sex, maternal age at delivery, maternal body mass index and maternal education. RESULTS: Analyses found a small indirect pathway from autistic traits intercept to eating disorder behaviours via fussy eating slope (b = 0.017, 95% CI = 0.002-0.032, p = 0.026), with higher levels of autistic traits at age 7 years being associated with a shallower decline in fussy eating, which in turn was associated with greater eating disorder behaviours. CONCLUSION: Findings point towards fussy eating as a potential link between childhood autistic traits and later disordered eating. Addressing fussy eating patterns before they become entrenched may decrease risk for eating disorders later in development.

Diabetes and the risk of hospitalisation for infection: the Atherosclerosis Risk in Communities (ARIC) study.

AIMS/HYPOTHESIS: The aim of this work was to assess the association between diabetes and risk for infection-related hospitalisation and mortality. METHODS: We conducted a prospective cohort analysis of the Atherosclerosis Risk in Communities (ARIC) study. Diabetes was defined as a fasting glucose ≥7 mmol/l or non-fasting glucose ≥11.1 mmol/l, self-report of a diagnosis of diabetes by a physician, or current diabetes medication use. Hospitalisation for infection was ascertained from hospital discharge records. Participants were followed from 1987-1989 to 2019. RESULTS: We included 12,379 participants (mean age 54.5 years; 24.7% Black race; 54.3% female sex). During a median follow-up of 23.8 years, there were 4229 new hospitalisations for infection. After adjusting for potential confounders, people with (vs without) diabetes at baseline had a higher risk for hospitalisation for infection (HR 1.67 [95% CI 1.52, 1.83]). Results were generally consistent across infection type but the association was especially pronounced for foot infection (HR 5.99 [95% CI 4.38, 8.19]). Diabetes was more strongly associated with hospitalisation for infection in younger participants and Black people. Overall infection mortality was low (362 deaths due to infection) but the adjusted risk was increased for people with diabetes (HR 1.72 [95% CI 1.28, 2.31]). CONCLUSIONS/INTERPRETATION: Diabetes confers significant risk for infection-related hospitalisation. Enhancing prevention and early treatment of infection in those with diabetes is needed to reduce infection-related morbidity and mortality.

A longitudinal analysis of puberty-related cortical development.

The brain undergoes extensive structural changes during adolescence, concurrent to puberty-related physical and hormonal changes. While animal research suggests these biological processes are related to one another, our knowledge of brain development in humans is largely based on age-related processes. Thus, the current study characterized puberty-related changes in human brain structure, by combining data from two longitudinal neuroimaging cohorts. Beyond normative changes in cortical thickness, we examined whether individual differences in the rate of pubertal maturation (or "pubertal tempo") was associated with variations in cortical trajectories. Participants (N = 192; scans = 366) completed up to three waves of MRI assessments between 8.5 and 14.5 years of age, as well as questionnaire assessments of pubertal stage at each wave. Generalized additive mixture models were used to characterize trajectories of cortical development. Results revealed widespread linear puberty-related changes across much of the cortex. Many of these changes, particularly within the frontal and parietal cortices, were independent of age-related development. Males exhibiting faster pubertal tempo demonstrated greater thinning in the precuneus and frontal cortices than same-aged and -sex peers. Findings suggest that the unique influence of puberty on cortical development may be more extensive than previously identified, and also emphasize important individual differences in the coupling of these developmental processes.

A population-based study to develop juvenile arthritis case definitions for administrative health data using model-based dynamic classification.

BACKGROUND: Previous research has shown that chronic disease case definitions constructed using population-based administrative health data may have low accuracy for ascertaining cases of episodic diseases such as rheumatoid arthritis, which are characterized by periods of good health followed by periods of illness. No studies have considered a dynamic approach that uses statistical (i.e., probability) models for repeated measures data to classify individuals into disease, non-disease, and indeterminate categories as an alternative to deterministic (i.e., non-probability) methods that use summary data for case ascertainment. The research objectives were to validate a model-based dynamic classification approach for ascertaining cases of juvenile arthritis (JA) from administrative data, and compare its performance with a deterministic approach for case ascertainment. METHODS: The study cohort was comprised of JA cases and non-JA controls 16 years or younger identified from a pediatric clinical registry in the Canadian province of Manitoba and born between 1980 and 2002. Registry data were linked to hospital records and physician billing claims up to 2018. Longitudinal discriminant analysis (LoDA) models and dynamic classification were applied to annual healthcare utilization measures. The deterministic case definition was based on JA diagnoses in healthcare use data anytime between birth and age 16 years; it required one hospitalization ever or two physician visits. Case definitions based on model-based dynamic classification and deterministic approaches were assessed on sensitivity, specificity, and positive and negative predictive values (PPV, NPV). Mean time to classification was also measured for the former. RESULTS: The cohort included 797 individuals; 386 (48.4 %) were JA cases. A model-based dynamic classification approach using an annual measure of any JA-related healthcare contact had sensitivity = 0.70 and PPV = 0.82. Mean classification time was 9.21 years. The deterministic case definition had sensitivity = 0.91 and PPV = 0.92. CONCLUSIONS: A model-based dynamic classification approach had lower accuracy for ascertaining JA cases than a deterministic approach. However, the dynamic approach required a shorter duration of time to produce a case definition with acceptable PPV. The choice of methods to construct case definitions and their performance may depend on the characteristics of the chronic disease under investigation.

Trajectories of Subjective Health: Testing Longitudinal Models for Self-rated Health From Adolescence to Midlife.

Self-rated health (SRH) is ubiquitous in population health research. It is one of the few consistent health measures in longitudinal studies. Yet, extant research offers little guidance on its longitudinal trajectory. The literature on SRH suggests several possibilities, including SRH as (1) a more fixed, longer-term view of past, present, and anticipated health; (2) a spontaneous assessment at the time of the survey; (3) a result of lagged effects from prior responses; (4) a function of life course processes; and (5) a combination of the preceding. Different perspectives suggest different longitudinal models, but evidence is lacking about which model best captures SRH trajectory. Using data from the National Longitudinal Study of Adolescent to Adult Health and the National Longitudinal Survey of Youth, we employ structural equation modeling to correct for measurement error and identify the best-fitting, theoretically guided models describing SRH trajectories. Results support a hybrid model that combines the lagged effect of SRH with the enduring perspectives, fitted with a type of autoregressive latent trajectory (ALT) model. This model structure consistently outperforms other commonly used models and underscores the importance of accounting for lagged effects combined with time-invariant effects in longitudinal studies of SRH. Interestingly, comparisons of this latent, time-invariant autoregressive model across gender and racial/ethnic groups suggest that there are differences in starting points but less variability in SRH trajectories from early life into adulthood.

Association between sleep duration and weight gain and incident overweight/obesity: longitudinal analyses from the China Health and Nutrition Survey.

OBJECTIVE: To evaluate the association between sleep duration and weight gain and incident overweight/obesity in the population of China. METHODS: Data were derived from the China Health and Nutrition Survey. Adult participants with baseline data of sleep duration and body mass index (BMI) and who received at least one follow-up evaluation were selected to analyze the association of sleep duration with weight gain (n = 12,871) and incident overweight/obesity (n = 7,752). Daily sleep duration was categorized into five groups: ≤ 6, 7, 8 (as reference), 9, and ≥ 10 h. The study outcomes were weight gain ≥ 5 kg and incident overweight/obesity (BMI ≥ 24 kg/m2). RESULTS: Adjusted Cox proportional hazards models showed that only short sleep duration (≤ 6 h) significantly increased the risk of weight gain ≥ 5 kg (HR: 1.160, 95% CI: 1.005-1.339, p < 0.001) and incident overweight/obesity (HR: 1.403, 95% CI: 1.185-1.660, p < 0.001), whereas sleep duration 9 h was significantly associated with a lower risk of incident overweight/obesity (HR: 0.817, 95% CI: 0.700-0.953, p = 0.010). No significant correlation was found between long sleep duration (> 10 h) and the risk of weight gain ≥ 5 kg and incident overweight/obesity. CONCLUSION: Short sleep duration is a risk factor for the development of weight gain ≥ 5 kg and incident overweight/obesity in Chinese adults, whereas long sleep duration had no effect on future obesity.

Mental health and well-being from childhood to adulthood: design, methods and results of the 11-year follow-up of the BELLA study.

Mental health and well-being are of great interest in health policy and research. Longitudinal surveys are needed to provide solid population-based data. We describe the design and methods of an 11-year follow-up of the German BELLA study in children, adolescents and young adults, and we report on age- and gender-specific courses of general health and well-being, long-term health-related outcomes of mental health problems, and mental health care use. The BELLA study is the module on mental health and well-being within the German Health Interview and Examination Survey for Children and Adolescents (KiGGS). Standardised measures were used at each of the five measurement points of the BELLA study. In the 11-year follow-up, young people aged 7-31 years participated (n = 3492). Individual growth modelling, linear regression and descriptive analyses were conducted. Self-reported general health and well-being were both better in younger (vs. older) and in male (vs. female) participants according to the data from all five measurement points. Mental health problems in childhood and adolescence (measured at baseline) predicted impaired health outcomes at 6-year and 11-year follow-ups. Approximately one out of four children with a diagnosed mental disorder was not undergoing mental health treatment. With its 11-year follow-up, the prospective longitudinal BELLA study provides new and solid data on mental health and well-being from childhood to adulthood in Germany, and these data are important for health promotion and prevention practices. These results are consistent with previous findings. Promising future analyses are planned.

Effect size measures for longitudinal growth analyses: Extending a framework of multilevel model R-squareds to accommodate heteroscedasticity, autocorrelation, nonlinearity, and alternative centering strategies.

Developmental researchers commonly utilize multilevel models (MLMs) to describe and predict individual differences in change over time. In such growth model applications, researchers have been widely encouraged to supplement reporting of statistical significance with measures of effect size, such as R-squareds (R2 ) that convey variance explained by terms in the model. An integrative framework for computing R-squareds in MLMs with random intercepts and/or slopes was recently introduced by Rights and Sterba and it subsumed pre-existing MLM R-squareds as special cases. However, this work focused on cross-sectional applications, and hence did not address how the computation and interpretation of MLM R-squareds are affected by modeling considerations typically arising in longitudinal settings: (a) alternative centering choices for time (e.g., centering-at-a-constant vs. person-mean-centering), (b) nonlinear effects of predictors such as time, (c) heteroscedastic level-1 errors and/or (d) autocorrelated level-1 errors. This paper addresses these gaps by extending the Rights and Sterba R-squared framework to longitudinal contexts. We: (a) provide a full framework of total and level-specific R-squared measures for MLMs that utilize any type of centering, and contrast these with Rights and Sterba's measures assuming cluster-mean-centering, (b) explain and derive which measures are applicable for MLMs with nonlinear terms, and extend the R-squared computation to accommodate (c) heteroscedastic and/or (d) autocorrelated errors. Additionally, we show how to use differences in R-squared (ΔR2 ) measures between growth models (adding, for instance, time-varying covariates as level-1 predictors or time-invariant covariates as level-2 predictors) to obtain effects sizes for individual terms. We provide R software (r2MLMlong) and a running pedagogical example analyzing growth in adolescent self-efficacy to illustrate these methodological developments. With these developments, researchers will have greater ability to consider effect size when analyzing and predicting change using MLMs.

Factors predicting poor glycemic control in the first two years of childhood onset type 1 diabetes in a cohort from East London, UK: Analyses using mixed effects fractional polynomial models.

BACKGROUND/OBJECTIVE: Poor early glycemic control in childhood onset type 1 diabetes (T1D) is associated with future risk of acute and chronic complications. Our aim was to identify the predictors of higher glycated hemoglobin (HbA1c) within 24 months of T1D diagnosis in children and adolescents. METHODS: Mixed effects models with fractional polynomials were used to analyze longitudinal data of patients <19 years of age, followed from T1D diagnosis for up to 2 years, at three diabetes clinics in East London, United Kingdom. RESULTS: A total of 2209 HbA1c observations were available for 356 patients (52.5% female; 64.4% non-white), followed from within 3 months of diagnosis during years 2005 to 2015, with a mean ± SD of 6.2 ± 2.5 HbA1c observations/participant. The mean age and HbA1c at diagnosis were 8.9 ± 4.3 years and 10.7% ±4.3% (or expressed as mmol/mol HbA1c mean ± SD 92.9 ± 23.10 mmol/mol) respectively. Over the 2 years following T1D diagnosis, HbA1c levels were mostly above the National Institute for Health, Care and Excellence (NICE), UK recommendations of 7.5% (<58 mmol/mol). Significant (P < .05) predictors of poorer glycemic control were: Age at diagnosis (12-18 years), higher HbA1c at baseline (>9.5%, ie, >80 mmol/mol), clinic site, non-white ethnicity, and period (pre-year 2011) of diagnosis. Additionally in univariable analyses, frequency of clinic visits, HbA1c at diagnosis, and type of insulin treatment regimen showed association with poor glycemic control (P < .05). CONCLUSIONS: Major risk factors of poorer glycemic control during 3-24 months following childhood onset T1D are: diagnosis prior to 2011, higher HbA1c levels at baseline, age at diagnosis, non-white ethnicity, and clinic site.

Home care clients: a research protocol for studying their pathways.

BACKGROUND: Enhancing non-clinical home care supports and services for older adults to live well is a strategic priority in developed countries, including Canada. Underpinning these supports and services are structures of care that are reflected in home care policies, programs and practices within jurisdictions. These approaches to care exist at multiple levels and inform interactions, perceptions, and care assessment, planning and provision, ultimately shaping the supports that are delivered. Jurisdictional differences in approaches to care mean that pathways through home care systems may differ, depending on where one lives. The goal of this study is to understand how approaches to care shape the pathways of older adult home care clients with chronic and long term conditions in two Canadian health jurisdictions. METHODS: This longitudinal mixed-methods study has three interrelated research streams informed by aspects of the socio-ecological framework. We will examine client pathways using a retrospective analysis of home care assessment data (Resident Assessment Instrument- Home Care) in two health authorities (Client/Service Data Stream). We will analyze interview data from older adult home care clients and a cluster of each client's family or friend caregiver(s), home support worker(s), care/case coordinator(s) and potentially other professionals at up to three points over 18 months using a prospective qualitative comparative case study design (Constellation Data Stream). We will review home care policies relevant to both health authorities and interview key informants regarding the creation and implementation of policies (Policy Stream). Our study will apply an integrated knowledge translation (iKT) approach that engages knowledge users in research design, analysis and interpretation to facilitate relevancy of results. DISCUSSION: Applying a mixed-method research design to understand approaches to care within and between two jurisdictions will contribute to the evidence base on older adult home care client pathways. Study results will identify how potential differences are experienced by clients and their families. An understanding of the policies will help to contextualize these findings. The iKT model will ensure that findings are useful for strategic planning and decision-making, and supporting changes in care practice.

The longitudinal relationship of alcohol problems and depressive symptoms and the impact of externalising symptoms: findings from the Belfast Youth Developmental Study.

PURPOSE: The aim of the present study was to contribute to the inconsistent literature on the comorbid relationship of alcohol problems and depressive symptoms from late adolescent to emerging adulthood by accounting for their trajectories and their conjoint relationship while controlling for the influence of externalising symptoms. METHODS: We utilised data, from a longitudinal school cohort from Northern Ireland (Belfast Youth Developmental Study), over three time points where the participants were 16, 17 and 21 years of age. A total of 3118 participants were included, 1713 females and 1405 males. Second-order latent growth models were applied to examine growth trajectories. Parallel process growth models were used to assess whether growth trajectories of the symptoms were associated. Externalising symptoms were subsequently added as a covariate. RESULTS: Alcohol problems among males significantly increased over time but decreased in females. Depressive symptoms initially increased then decreased in both genders. Results indicated associations of the alcohol problems and depression, both initially and with time. Accounting for externalising symptoms only somewhat diminished this effect in males but not in females. An increase of initial levels of depression was associated with a decrease in alcohol problems over time. This association was only true among females. After controlling for externalising symptoms, the relationship was no longer observed. CONCLUSIONS: The present study provides further evidence of a significant relationship of alcohol problems and depression in adolescents and further supports a small literature indicating that depression may have protective effects of alcohol problems. Finally, the study shows the importance of accounting for externalising symptoms.

With a little help from my friends? A longitudinal look at the role of peers versus friends on adolescent alcohol use.

INTRODUCTION: Alcohol is the most commonly used substance by South African adolescents. Social norms play a key role in alcohol use, although distinctions are not always made between descriptive and injunctive norms and peer proximity. Additionally, little research identifies factors attenuating social norms, peer proximity, and alcohol use, such as one's ability to resist peer influence. METHODS: The current study investigates the relationship between adolescent alcohol use in 9th Grade and descriptive peer and injunctive friend norms in 8th grade, the moderating role of resistance to peer influence, and sex differences. Data were from South African students (N = 3592; Mage = 14) participating in the HealthWise South Africa implementation quality trial. RESULTS: Path model results indicated injunctive friend norms, but not peer norms, influenced alcohol use. Resistance to peer influence did not moderate relationships and group comparisons found no sex differences. CONCLUSION: Findings suggest social proximity shapes influences of alcohol use. Despite a differing cultural context, findings were consistent with those from the United States, indicating social proximity is relevant cross-culturally.

Changes in anti-citrullinated protein antibody isotype levels in relation to disease activity and response to treatment in early rheumatoid arthritis.

Rheumatoid arthritis (RA) is a chronic inflammatory disease where serum analysis of anti-citrullinated peptide/protein antibodies (ACPA) is an important diagnostic/prognostic tool. Levels and changes of ACPA in RA patients have been studied previously in relation to disease course and therapy response, but less is known regarding ACPA isotype changes in early RA. Hence, recent-onset RA patients (n = 231) were subjected to a 3-year clinical and radiological follow-up. Serum samples were serially collected and ACPA isotypes were analysed using the second-generation cyclic citrullinated peptide (CCP) as capture antigen. Changes in ACPA isotype levels and status were related to disease course and pharmacotherapy. At inclusion, 74% of the patients tested positive for ACPA IgG; 55% for immunoglobulin (Ig)A, 37% for secretory IgA (SIgA) and 35% for IgM. The proportion of positive patients decreased significantly at follow-up regarding ACPA SIgA, IgM and IgA. During the initial 3 months, reduction of the 28-joint disease activity score (DAS28) correlated with reduced levels of ACPA IgG (Rho = 0·242, P = 0·003), IgA (Rho = 0·260, P = 0·008), IgM (Rho = 0·457, P < 0·001) and SIgA (Rho = 0·402, P < 0·001). Levels of ACPA SIgA (P = 0·008) and IgM (P = 0·021) decreased significantly among patients with good response to treatment, which was not seen regarding ACPA IgA or IgG. Changes in ACPA isotype levels were not associated with radiographic damage. In conclusion, ACPA SIgA and IgM declined rapidly upon anti-rheumatic therapy and correlated with decreased disease activity in recent-onset RA. This may indicate that down-regulation of mucosal immunity to citrullinated proteins/peptides and recruitment of new B cells are key features of therapy responses in early RA.

Merging the Religious Congregations and Membership Studies: A Data File for Documenting American Religious Change.

The decennial religious congregations and membership studies are a popular data source for analyzing local religious composition and diversity, but several methodological challenges hinder merging the datasets for longitudinal analyses. In this paper, we introduce strategies for addressing four of the most serious challenges: religious mergers and schisms, changes in membership standards within certain groups, missing data and changes in county boundaries. In doing so we successfully merge the 1980, 1990, 2000 and 2010 collections and build new longitudinal datasets of congregational and membership counts at the state and county levels. These changes increase religious group representation from 48 to 76, reduce bias from missing data, allow for the more reliable inclusion of 20-23 million adherents in each year, and improve overall ease of use. We also document instances when corrections were not possible and alert readers to the limitations of the merged files when measuring change among certain groups. The new longitudinal files are accessible from theARDA.com.

Time Spent Commuting to Work and Mental Health: Evidence From 13 Waves of an Australian Cohort Study.

Time-related stressors, such as long working hours, are recognized as being detrimental to health. We considered whether time spent commuting to work was a risk factor for poor mental health. Data from the Household, Income Labour Dynamics in Australia Survey were used to conduct fixed-effects longitudinal regression analyses. The outcome variable was the Mental Health Inventory, and the main exposure represented hours per week traveling to and from a place of paid employment. Effect modifiers included sex, low job control, high demands, and low job security. Compared with when a person commuted for ≤2 hours per week, there was a small decline (coefficient = -0.33, 95% CI: -0.62, -0.04; P = 0.025) in the Mental Health Inventory score when they commuted for over 6 hours per week. Compared with persons with high job control, persons working in jobs with low job control experienced significantly greater declines in the Mental Health Inventory score when commuting 4 to 6 hours per week and when commuting over 6 hours per week. We found no influence from the other hypothesized effect modifiers. These results suggest the importance of considering commuting time as an additional work-related time stressor.

Physical, sexual and social health factors associated with the trajectories of maternal depressive symptoms from pregnancy to 4 years postpartum.

PURPOSE: Few studies have examined the course of maternal depressive across pregnancy and early parenthood. The aim of this study was to identify the physical, sexual and social health factors associated with the trajectories of maternal depressive symptoms from pregnancy to 4 years postpartum. METHOD: Data were drawn from 1102 women participating in the Maternal Health Study, a prospective pregnancy cohort study in Melbourne, Australia. Self-administered questionnaires were completed at baseline (<24 weeks gestation), and at 3-, 6-, 12-, and 18 months, and 4 years postpartum. RESULTS: Latent class analysis modelling identified three distinct classes representing women who experienced minimal depressive symptoms (58.4%), subclinical symptoms (32.7%), and persistently high symptoms from pregnancy to 4 years postpartum (9.0%). Risk factors for subclinical and persistently high depressive symptoms were having migrated from a non-English speaking country, not being in paid employment during pregnancy, history of childhood physical abuse, history of depressive symptoms, partner relationship problems during pregnancy, exhaustion at 3 months postpartum, three or more sexual health problems at 3 months postpartum, and fear of a partner since birth at 6 months postpartum. CONCLUSIONS: This study highlights the complexity of the relationships between emotional, physical, sexual and social health, and underscores the need for health professionals to ask women about their physical and sexual health, and consider the impact on their mental health throughout pregnancy and the early postpartum.