Assessing the impact of caregiving for older parents on caregivers' health: Initial health status and trajectories of physical and mental health among midlife caregivers for parents and parents-in-law in Britain.

Assessing the impact of caregiving for older parents on caregivers' health is increasingly important in the context of population changes and curtailment of state provided services. This has been extensively studied but results are inconsistent, possibly reflecting a lack of attention to health-related selection into the caregiver role. We use data from a nationally representative UK longitudinal study to analyse differences in the health of people aged 40-69 at baseline by whether they were 'eligible' to provide parent care (with a living parent/parent-in-law) and by whether they subsequently assumed a caregiver role. We measured initial health status using a latent variable derived from three observer-recorded indicators as well as self-reported health. We analysed trajectories of physical and mental health over a seven-year follow-up for those providing intensive care (20+ hours per week) to a parent or parent-in-law, providers of lesser amounts of care, and non-caregivers. Outcomes were measured using the SF-12 indicators of mental and physical health. RESULTS: showed that those with a living parent or parent-in-law had better health than those lacking these relatives. However, among potential caregivers for a parent or parent-in-law, those assuming intensive caregiving had poorer initial health than non-caregivers or those who became providers of less intensive care. Fixed effects analyses of follow-up data showed that the mental health of intensive caregivers deteriorated. However, the physical health of intensive caregivers with low levels of education improved. RESULTS: show the importance of taking account of whether people are at risk of providing parental care and initial health status when assessing impacts of caregiving on health. They also indicate differential effects of caregiving on health depending on socio-demographic characteristics and reaffirm the need for greater supports for those providing substantial amounts of care to older parents.

'Boomerang' moves and young adults' mental well-being in the United Kingdom.

BACKGROUND: In the UK and many other contemporary Western populations, attaining and maintaining residential independence is an important marker of a young person's successful transition to adulthood. However, employment precarity, partnership breakdown, and difficulties in affording housing may mean that some young adults are unable to maintain residential independence and 'boomerang' back to co-reside with their parents. Although a growing body of literature has explored how such counter-transitions affect parents' mental well-being, little is known about effects on the mental health of the young returnees and whether any such effects vary by gender or socio-economic characteristics. DATA AND METHODS: We use data from 11 waves (2009-2020) of the UK Household Longitudinal Study (UKHLS) and focus on young adults aged 21-35 (N = 9714). We estimate fixed-effects models to analyse the effect of returning to the parental home on changes in young adults' mental well-being measured using scores on the General Health Questionnaire (GHQ) and the Mental Component Summary (MCS) score of the Short Form Health Survey (SF-12). RESULTS: Over the period of observation, 15% of young adults made one or more moves back to the parental home. The fixed-effects analysis showed that returning to the parental home was associated with a reduction (improvement) in GHQ score, although effects were small and did not vary by gender, employment status, partnership status, or presence of a co-resident biological child. No associations were found with changes in MCS score. CONCLUSION: Although cross-sectional results from the UK have shown that the mental health of young adults living with parents is worse than that of young adults living independently, we found no evidence that returning to the parental home was associated with a deterioration in young adults' mental health. On the contrary, returns home were associated with a slight reduction in depressive symptoms suggesting that the benefits of parental support may outweigh possible negative impacts of inability to maintain residential independence. Further research in other settings is needed to assess the extent to which these findings reflect the UK context.

Role of family factors in provision and perception of social support for older people in Iran: a cross-sectional survey.

BACKGROUND: Iran has experienced a very fast fertility transition. The process of demographic transition, coupled with modernization, has had considerable consequences for the structure and function of families. There is rising concern in Iran about a potential decline in family care and support for older people as a result of these changes. The main aim of this study was to provide a benchmark by examining current associations between family factors and older people's social support, both perceived and received. METHODS: A cross-sectional survey of a random sample of 644 people aged 60 + years resident in Tehran was conducted using stratified cluster random sampling method in 2015. Outcome variables were perceived social support, as measured by Social Provision Scale, and received instrumental social support. Multilevel mixed-effects models were used to examine the hypotheses. RESULTS: The analyses showed that most of the family factors measured, including family size (p = 0.01), living arrangements (p = 0.05), and amount of contact with family members (p = 0.001) were associated with older people's receipt of instrumental social support. Living arrangements and quality of relationships with family members were associated with older people's perceptions of social support (p < 0.001). Also, a significant gender interaction was found in associations between family size and SPS (p = 0.03). Having a large size family was positively associated with higher SPS for women (Coef. = 3.9, p = 0.009) but not for men (Coef. = -0.4, p = 0.7). CONCLUSION: findings of this study support the premise that most of family factors play an important role in provision and perception of social support for Iranian older people. Further policies should mostly be selective of those at higher risk of low support such as widowed, childless, those living alone, having poor relationship with their relatives and those with worse health status. The results of this study may be utilized to target older populations who are at higher risk of low support with innovative programs that focus on building social networks and enhancing social support.

Prioritising research funding for cardiovascular disease and diabetes in Australia.

The Targeted Translation Research Accelerator program was created to address cardiovascular disease and diabetes in Australia. To maximise the impact of the considerable investment in this program, a structured prioritisation project was undertaken to determine the highest priority health and medical unmet needs in cardiovascular disease and diabetes. The project was led by Monash University's Behaviour Works Australia in collaboration with Australian National University, Research Australia, and MTPConnect. We conducted an online survey with 318 experts and community representatives to generate a 'long list' of unmet needs for (1) cardiovascular disease; (2) diabetes; and (3) interactions in the pathogenesis of Type 1 diabetes, Type 2 diabetes, and cardiovascular disease. We then convened roundtables of clinical, research, and community leaders to discuss survey results. They prioritised unmet needs against six predefined criteria then discussed results. We present the final priority areas for funding. We demonstrate how a feasible, reproducible, and collaborative prioritisation methodology can be used when designing research funding programs. Such approaches can ensure that funding is directed towards projects that are valuable to the community and reflective of expert opinion.

Towards a consensus definition of allostatic load: a multi-cohort, multi-system, multi-biomarker individual participant data (IPD) meta-analysis.

BACKGROUND: Allostatic load (AL) is a multi-system composite index for quantifying physiological dysregulation caused by life course stressors. For over 30 years, an extensive body of research has drawn on the AL framework but has been hampered by the lack of a consistent definition. METHODS: This study analyses data for 67,126 individuals aged 40-111 years participating in 13 different cohort studies and 40 biomarkers across 12 physiological systems: hypothalamic-pituitary-adrenal (HPA) axis, sympathetic-adrenal-medullary (SAM) axis, parasympathetic nervous system functioning, oxidative stress, immunological/inflammatory, cardiovascular, respiratory, lipidemia, anthropometric, glucose metabolism, kidney, and liver. We use individual-participant-data meta-analysis and exploit natural heterogeneity in the number and type of biomarkers that have been used across studies, but a common set of health outcomes (grip strength, walking speed, and self-rated health), to determine the optimal configuration of parameters to define the concept. RESULTS: There was at least one biomarker within 9/12 physiological systems that was reliably and consistently associated in the hypothesised direction with the three health outcomes in the meta-analysis of these cohorts: dehydroepiandrosterone sulfate (DHEAS), low frequency-heart rate variability (LF-HRV), C-reactive protein (CRP), resting heart rate (RHR), peak expiratory flow (PEF), high density lipoprotein cholesterol (HDL-C), waist-to-height ratio (WtHR), HbA1c, and cystatin C. An index based on five biomarkers (CRP, RHR, HDL-C, WtHR and HbA1c) available in every study was found to predict an independent outcome - mortality - as well or better than more elaborate sets of biomarkers. DISCUSSION: This study has identified a brief 5-item measure of AL that arguably represents a universal and efficient set of biomarkers for capturing physiological 'wear and tear' and a further biomarker (PEF) that could usefully be included in future data collection.

How effective are interventions in optimizing workplace mental health and well-being? A scoping review of reviews and evidence map.

OBJECTIVES: Mental well-being is critical to quality of life. Workplace mental well-being is crucial to ensure employee health, satisfaction, and performance. Mental ill-health is a global challenge, costing workplaces $17 billion per year. Workplaces have realized the need for investment in interventions to promote mental health and well-being in their workforce. However, given their limited resources, workplace personnel responsible for program implementation need evidence-based guidance on which interventions influence which outcomes. METHODS: This study employed a scoping review methodology in order to produce an evidence map and includes reviews of workplace mental well-being interventions. The search strategy focused on peer-reviewed articles with the primary aim of investigating workplace mental health interventions. Reviews were assessed for quality using AMSTAR 2. The evidence map includes interventions (rows) and outcomes (columns), with the relative size of the reviews underpinning each intersection represented by circles and the direction of evidence represented by color. RESULTS: Eighty reviews were deemed eligible from 4795 citations. The resulting evidence map includes 17 intervention types designed to influence 12 outcomes. Interventions with the highest quality evidence were mindfulness, education and information provision, and individual psychological therapies. The most common outcomes were burnout / stress reduction and mental well-being. Interventions tended to focus on individual level factors rather than organizational or system-level factors. CONCLUSION: The evidence-base for workplace mental health interventions is broad and extensive. There is an apparent knowledge-to-practice gap, presenting challenges to implementing workplace mental health programs (ie, what interventions have the highest quality evidence). This study aims to fill the gap by providing an interactive evidence-map. Future research should look to fill the gaps within the map including the lack of organization and system level factors and especially economic evaluations.

What Happens Next? Traumatic Brain Injury in the Community.

Traumatic brain injury (TBI) continues to substantially impact the lives of millions of people around the world annually. Community-based prevention and support of TBI are particularly challenging and underresearched aspects of TBI management. Ongoing cognitive, emotional, and other effects of TBI are not immediately obvious in community settings such as schools, workplaces, sporting clubs, aged care facilities, and support agencies providing homelessness or domestic violence support. This is compounded by a lack of guidance and support materials designed for nonmedical settings. Connectivity Australia, a not-for-profit organization promoting TBI awareness, research, and support, responded to this need by conducting a national survey and series of roundtables to deepen understanding of TBI awareness, challenges, and support needs across the community. The 48 survey respondents and 22 roundtable participants represented Australian departments of health; correctional services; homelessness and housing; Aboriginal and Torres Strait Islander health; community, school, and professional sports; allied healthcare and rehabilitation providers; insurance; and work health and safety. Three key themes were identified: Accessible, nationally consistent plain-language guidelines ; Building research literacy ; and Knowing your role in TBI identification and management . This commentary briefly describes these themes and their implications based on a publicly available full report detailing the study findings ( www.connectivity.org.au/resources-for-researchers/connectivity-research ).

Housing tenure and disability in the UK: trends and projections 2004-2030.

Introduction: Housing is a major influence on health. Housing tenure is associated with housing conditions, affordability, and security and is an important dimension of housing. In the UK there have been profound changes in both housing conditions and the distribution of households by tenure over the past century, that is during the lifetimes of the current population. Methods: We firstly reviewed and summarise changes in housing conditions, housing policy and tenure distribution as they provide a context to possible explanations for health variations by housing tenure, including health related selection into different tenure types. We then use 2015-2021 data from a large nationally representative UK survey to analyse associations between housing tenure and self-reported disability among those aged 40-69 controlling for other socio-demographic factors also associated with health. We additionally examine changes in the association between housing tenure and self-reported disability in the population aged 25 and over in the first two decades of the 21st century and project trends forward to 2030. Results: Results show that associations between housing tenure and disability by tenure were stronger than for any other indicator of socio-economic position considered with owner-occupiers having the best, and social renters the worst, health. Differences were particularly marked in reported mental health conditions and in economic activity, with 28% of social renters being economically inactive due to health problems, compared with 4% of owner-occupiers. Rates of disability have increased over time, and become increasingly polarised by tenure. By 2020 the age standardised disability rate among tenants of social housing was over twice as high as that for owner occupiers, with projections indicating further increases in both levels, and differentials in, disability by 2030. Discussion: These results have substantial implications for housing providers, local authorities and for public health.

Gender Interaction in Association of Perceived Social Support and Health-Related Quality of Life Among Iranian Older People: A Cross-sectional Survey.

Background: The purpose of this study was to examine the relationship between perceived social support (PSS) and dimensions of health-related quality of life (HRQoL) and to examine possible gender interaction in the mentioned associations. Methods: A community-based cross-sectional study conducted among 644 participants over the age of 60 years old in Tehran. The data were collected through face-to-face interviews conducted in their own homes, by using a structured multi-sectional questionnaire. The version 1 of the SF-12 scale was used to measure the HRQoL, consisting of two summary measures; PCS (Physical Component Score) and MCS (Mental Component Score). The Persian version of the Social Provisions Scale (SPS) was used to measure PSS. Four multilevel mixed-effects logistic regression models were used to examine the associations. Results: Older people with poor SPS score were 1.8 times more likely to be in the worst quartile of the MCS distribution (CI=1.11-2.93, P =0.021), and twice as likely to be in the worst quartile of the PCS distribution (CI=1.18-3.54, P =0.011). We found strong evidence to support the hypothesis of gender interaction in the association between economic status and PCS [Men: OR 0.28, CI (0.11-0.71); Women: OR 1.00, CI (0.53-1.88); P of Interaction 0.021], and a borderline evidence for gender interaction in the association between physical activity and PCS [Men: OR 5.32, CI (2.14-13.20); Women: OR 1.80, CI (0.82-3.93); P of Interaction 0.051]. Conclusions: Social support could be regarded as one of the main social determinants affecting HRQoL among older people. Men with poor economic status and poor physical activity, compared to women, are more likely to suffer from poor quality of life, thus men should be prioritized in financial support and life style and physical activity interventions.

Multimorbidity as assessed by reporting of multiple causes of death: variations by period, sociodemographic characteristics and place of death among older decedents in England and Wales, 2001-2017.

BACKGROUND: Multimorbidity is common at older ages and is associated with disability, frailty and poor quality of life. Research using clinical databases and surveys has shown associations between multimorbidity and indicators of social disadvantage. Use of multiple coded death registration data has been proposed as an additional source which may also provide insights into quality of death certification. METHODS: We investigate trends in reporting multiple causes of death during 2001-2017 among decedents aged 65 years and over included in a census-based sample of 1% of the England and Wales population (Office for National Statistics Longitudinal Study). Using Poisson regression analysis, we analyse variations in number of mentions of causes of death recorded by time period, place of death, age, sex and marital status at death and indicators of health status and individual and area socioeconomic disadvantage reported at the census prior to death. RESULTS: Number of mentions of causes recorded at death registration increased 2001-2017, increased with age, peaking among decedents aged 85-9 years, and was positively associated with indicators of prior disadvantage and poor health, although effects were small. Number of mentions was highest for hospital decedents and similar for those dying in care homes or their own homes. CONCLUSION: Socioeconomic disadvantage, prior poor health, dying in hospital and older age-although not extreme old age-are associated with dying with more recorded conditions. Results may reflect both differences in multimorbidity at death and variations in quality of medical certification of death. Quality of death certification for decedents in care homes needs further investigation.

Slowdown in Mortality Improvement in the Past Decade: A US/UK Comparison.

OBJECTIVES: To investigate the slowdown in mortality improvement in the United States, United Kingdom, and comparator countries observed in the first decade of the twenty-first century and critically evaluate proposed explanations. METHODS: Change-point analysis to identify the year of change in comparison of national mortality trends and linear spline models in the investigation of subnational differences using data from the Human Mortality Database, Global Burden of Disease cause-specific data, and, for the United Kingdom, national statistics data. Consideration of the impact of using different methods to estimate overall mortality is also concluded together with a review of methodological assumptions made in previous studies. RESULTS: The results confirm the slowdown in mortality improvement observed in the early twenty-first century but indicate that proposed explanations for this are inadequate on a range of counts. DISCUSSION: Mortality improvement slowed down in the early twenty-first century but the explanations advanced, such as opioid use in the United States or influenza epidemics and austerity programs in the United Kingdom, seem unlikely to account for this. Further research considering longer-term life course and cohort influences is needed.

A picture of health: determining the core population served by an urban NHS hospital trust and understanding the key health needs.

BACKGROUND: NHS hospitals do not have clearly defined geographic populations to whom they provide care, with patients able to attend any hospital. Identifying a core population for a hospital trust, particularly those in urban areas where there are multiple providers and high population churn, is essential to understanding local key health needs especially given the move to integrated care systems. This can enable effective planning and delivery of preventive interventions and community engagement, rather than simply treating those presenting to services. In this article we describe a practical method for identifying a hospital's catchment population based on where potential patients are most likely to reside, and describe that population's size, demographic and social profile, and the key health needs. METHODS: A 30% proportional flow method was used to identify a catchment population using an acute hospital trust in West London as an example. Records of all hospital attendances between 1st April 2017 and 31st March 2018 were analysed using Hospital Episode Statistics. Any Lower Layer Super Output Areas where 30% or more of residents who attended any hospital for care did so at the example trust were assigned to the catchment area. Publicly available local and national datasets were then applied to identify and describe the population's key health needs. RESULTS: A catchment comprising 617,709 people, of an equal gender-split (50.4% male) and predominantly working age (15 to 64 years) population was identified. Thirty nine point six percent of residents identified as being from Black and Minority Ethnic (BAME) groups, a similar proportion that reported being born abroad, with over 85 languages spoken. Health indicators were estimated, including: a healthy life expectancy difference of over twenty years; bowel cancer screening coverage of 48.8%; chlamydia diagnosis rates of 2,136 per 100,000; prevalence of visible dental decay among five-year-olds of 27.9%. CONCLUSIONS: We define a blueprint by which a catchment can be defined for a hospital trust and demonstrate the value a hospital-view of the local population could provide in understanding local health needs and enabling population-level health improvement interventions. While an individual approach allows tailoring to local context and need, there could be an efficiency saving were such public health information made routinely and regularly available for every NHS hospital.

Planning and Evaluating Remote Consultation Services: A New Conceptual Framework Incorporating Complexity and Practical Ethics.

Establishing and running remote consultation services is challenging politically (interest groups may gain or lose), organizationally (remote consulting requires implementation work and new roles and workflows), economically (costs and benefits are unevenly distributed across the system), technically (excellent care needs dependable links and high-quality audio and images), relationally (interpersonal interactions are altered), and clinically (patients are unique, some examinations require contact, and clinicians have deeply-held habits, dispositions and norms). Many of these challenges have an under-examined ethical dimension. In this paper, we present a novel framework, Planning and Evaluating Remote Consultation Services (PERCS), built from a literature review and ongoing research. PERCS has 7 domains-the reason for consulting, the patient, the clinical relationship, the home and family, technologies, staff, the healthcare organization, and the wider system-and considers how these domains interact and evolve over time as a complex system. It focuses attention on the organization's digital maturity and digital inclusion efforts. We have found that both during and beyond the pandemic, policymakers envisaged an efficient, safe and accessible remote consultation service delivered through state-of-the art digital technologies and implemented via rational allocation criteria and quality standards. In contrast, our empirical data reveal that strategic decisions about establishing remote consultation services, allocation decisions for appointment type (phone, video, e-, face-to-face), and clinical decisions when consulting remotely are fraught with contradictions and tensions-for example, between demand management and patient choice-leading to both large- and small-scale ethical dilemmas for managers, support staff, and clinicians. These dilemmas cannot be resolved by standard operating procedures or algorithms. Rather, they must be managed by attending to here-and-now practicalities and emergent narratives, drawing on guiding principles applied with contextual judgement. We complement the PERCS framework with a set of principles for informing its application in practice, including education of professionals and patients.

The introduction of a mandatory mask policy was associated with significantly reduced COVID-19 cases in a major metropolitan city.

BACKGROUND: Whilst evidence of use of face masks in reducing COVID-19 cases is increasing, the impact of mandatory use across a large population has been difficult to assess. Introduction of mandatory mask use on July 22, 2020 during a resurgence of COVID-19 in Melbourne, Australia created a situation that facilitated an assessment of the impact of the policy on the epidemic growth rate as its introduction occurred in the absence of other changes to restrictions. METHODS AND FINDINGS: Exponential epidemic growth or decay rates in daily COVID-19 diagnoses were estimated using a non-weighted linear regression of the natural logarithm of the daily cases against time, using a linear spline model with one knot (lspline package in R v 3.6.3). The model's two linear segments pivot around the hinge day, on which the mask policy began to take effect, 8 days following the introduction of the policy. We used two forms of data to assess change in mask usage: images of people wearing masks in public places obtained from a major media outlet and population-based survey data. Potential confounding factors (including daily COVID-19 tests, number of COVID-19 cases among population subsets affected differentially by the mask policy-e.g., healthcare workers) were examined for their impact on the results. Daily cases fitted an exponential growth in the first log-linear segment (k = +0.042, s.e. = 0.007), and fitted an exponential decay in the second (k = -0.023, s.e. = 0.017) log-linear segment. Over a range of reported serial intervals for SARS-CoV-2 infection, these growth rates correspond to a 22-33% reduction in an effective reproduction ratio before and after mandatory mask use. Analysis of images of people in public spaces showed mask usage rose from approximately 43% to 97%. Analysis of survey data found that on the third day before policy introduction, 44% of participants reported "often" or "always" wearing a mask; on the fourth day after, 100% reported "always" doing so. No potentially confounding factors were associated with the observed change in growth rates. CONCLUSIONS: The mandatory mask use policy substantially increased public use of masks and was associated with a significant decline in new COVID-19 cases after introduction of the policy. This study strongly supports the use of masks for controlling epidemics in the broader community.

Area deprivation, perceived neighbourhood cohesion and mental health at older ages: A cross lagged analysis of UK longitudinal data.

Previous research on neighbourhood influences on older adults' mental health shows inconsistent evidence for effects of neighbourhood deprivation but stronger evidence for effects of perceived neighbourhood social cohesion, often proposed as a mediator of the link between neighbourhood deprivation and mental well-being. However, it is possible that mental health influences perceptions of neighbourhoods; this has rarely been considered. We use data from a large UK longitudinal study to investigate these associations. Results from cross-lagged models indicate that greater neighbourhood deprivation is associated with worse perceived social cohesion and worse mental health. Associations between change in perceived social cohesion and in mental health were reciprocal-lower perceived cohesion predicted poorer mental health and vice versa. Further research including three waves of data is needed to further unravel underlying directions of association.

Smoking, SARS-CoV-2 and COVID-19: A review of reviews considering implications for public health policy and practice.

INTRODUCTION: There has been significant speculation regarding the association between the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pathogen, coronavirus disease (COVID-19) and smoking. We provide an overview of the available literature regarding the association between smoking, risk of SARS-CoV-2 infection, and risk of severe COVID-19 and poor clinical outcomes, with the aim of informing public health policy and practice, particularly in England. METHODS: Publications were identified utilising a systematic search approach on PUBMED and Google Scholar. Publications presenting a systematic review or meta-analysis considering the association between smoking and SARS-COV-2 infection or COVID-19 outcomes were included. RESULTS: Eight studies were identified. One considered the relationship between smoking and the probability of SARS-CoV-2 infection, three considered the association between COVID-19 hospitalisation and smoking history, and six reviewed the association between smoking history and development of severe COVID-19. One study specifically investigated the risk of mortality. The studies considering risk of severe disease indicate that there is a significant association between COVID-19 and current or ever smoking. CONCLUSIONS: This is a rapidly evolving topic. Current analysis remains limited due to the quality of primary data, although, early results indicate an association between smoking and COVID-19 severity. We highly recommend public health messaging to continue focusing on smoking cessation efforts.

Fertility History and Biomarkers Using Prospective Data: Evidence From the 1958 National Child Development Study.

Research on the later-life health implications of fertility history has predominantly considered associations with mortality or self-reported indicators of health. Most of this previous research has either not been able to account for selection factors related to both early-life and later-life health or has had to rely on retrospectively reported accounts of childhood circumstances. Using the 1958 National Child Development Study, and in particular the biomedical survey conducted in 2002-2003, we investigate associations between fertility histories (number of children and age at first and at last birth) and biomarkers for cardiometabolic risk and respiratory function in midlife among both men and women. Results from models that adjusted for a very wide range of childhood factors, including early-life socioeconomic position, cognitive ability, and mental health, showed weak associations between parity and biomarkers. However, we found an inverse association between age at first birth and biomarkers indicative of worse cardiometabolic health, with poorer outcomes for those with very young ages at entry to parenthood and increasingly better outcomes for those becoming parents at older ages. A very young age at last birth was also associated with less favorable biomarker levels, especially among women. Results highlight the value of prospectively collected data and the availability of biomarkers in studies of life course determinants of health in midlife and later.

The association between parity, CVD mortality and CVD risk factors among Norwegian women and men.

BACKGROUND: Several studies have shown that women and men with two children have lower mortality than the childless, but there is less certainty about mortality, including CVD mortality, at higher parities and meagre knowledge about factors underlying the parity-mortality relationship. METHODS: The association between parity and CVD mortality was analyzed by estimating discrete-time hazard models for women and men aged 40-80 in 1975-2015. Register data covering the entire Norwegian population were used, and the models included a larger number of relevant sociodemographic control variables than in many previous studies. To analyze the relationship between parity and seven CVD risk factors, logistic models including the same variables as the mortality models were estimated from the CONOR collection of health surveys, linked to the register data. RESULTS: Men (but not women) who had four or more children had higher mortality from CVD than those with two, although this excess mortality was not observed for the heart disease sub-group. Overweight, possibly in part a result of less physical activity, seems to play a role in this. All CVD risk factors except smoking and alcohol may contribute to the relatively high CVD mortality among childless. CONCLUSIONS: Childbearing is related to a number of well-known CVD risk factors, and becoming a parent or having an additional child is, on the whole, associated with lower-or at least not higher-CVD mortality in Norway. However, for men family sizes beyond three children are associated with increased CVD mortality, with risks of overweight one possible pathway.

Information Safety Assurances Increase Intentions to Use COVID-19 Contact Tracing Applications, Regardless of Autonomy-Supportive or Controlling Message Framing.

Promoting the use of contact tracing technology will be an important step in global recovery from the COVID-19 pandemic. Across two studies, we assessed two messaging strategies as motivators of intended contact tracing uptake. In one sample of 1117 Australian adults and one sample of 888 American adults, we examined autonomy-supportive and controlling message framing and the presence or absence of information safety as predictors of intended contact tracing application uptake, using an online randomized 2 × 2 experimental design. The results suggested that the provision of data safety assurances may be key in affecting people's intentions to use contact tracing technology, an effect we found in both samples regardless of whether messages were framed as autonomy-supportive or controlling. Those in high information safety conditions consistently reported higher intended uptake and more positive perceptions of the application than those in low information safety conditions. In Study 2, we also found that perceptions of government legitimacy related positively to intended application uptake, as did political affiliation. In sum, individuals appeared more willing to assent to authority regarding contact tracing insofar as their data safety can be assured. Yet, public messaging strategies alone may be insufficient to initiate intentions to change behavior, even in these unprecedented circumstances.

Fertility trajectories and later-life depression among parents in England.

We examine pathways between indicators of fertility tempo/quantum and depressive symptoms among parents aged 55+ with at least two children, using three waves of the English Longitudinal Study of Ageing. Using standard regression approaches and path analysis within the structural equation framework, we also investigate whether fertility trajectories mediated the association between childhood disadvantage and later-life depression. Results provide limited support for direct influences of fertility trajectories on depression, but indicate indirect linkages for both women and men. Associations are mediated by partnership history, social support, wealth, later-life smoking, and functional limitation. Associations between childhood disadvantage and later-life depression are partially mediated by fertility stressors. Results confirm the influence of life course experiences on depression at older ages and demonstrate the interlinked role of family and other life course pathways on later-life well-being.