Interviews with policymakers in Australian health policy: Understanding the process of policy development.

OBJECTIVE: To determine the barriers and enablers oral health and chronic disease policymakers identify during policy development. METHODS: Semi-structured interview questions were developed utilizing an interview guide and applying a knowledge mobilization framework. Reflective thematic analysis of the data was completed based on the research of Braun and Clarke encompassing a critical realist approach. RESULTS: Twelve policymakers were interviewed. Policymakers reported barriers to accessing evidence including the sheer volume of information and a lack of: research summaries, comprehensive oral health data sets, open access articles, consistency of reporting, and time. They did find relationships with experts and intermediaries crucial at times to policy development. Co-creation of research was also a key enabler for policymakers. CONCLUSIONS: This study highlights that policymakers find evidence crucial during the development of policy and often use it to advocate for policies. However, the links between poor oral health; and cardiovascular disease, diabetes, and cognitive impairment are not well recognized among chronic disease policymakers. It is important that oral health researchers and policymakers work to close this gap. The treatment of poor oral health is a global population health issue. It is imperative that evidence of these links is implemented into health policy for the treatment and prevention of chronic diseases and improved quality of life for individuals living with chronic diseases.

Early life stress in relation with risk of overweight, depression, and their comorbidity across adulthood: findings from a British birth cohort.

BACKGROUND: Multimorbidity, known as the co-occurrence of at least two chronic conditions, has become of increasing concern in the current context of ageing populations, though it affects all ages. Early life risk factors of multimorbidity include adverse childhood experiences (ACEs), particularly associated with psychological conditions and weight problems. Few studies have considered related mechanisms and focus on old age participants. We are interested in estimating, from young adulthood, the risk of overweight-depression comorbidity related to ACEs while adjusting for early life confounders and intermediate variables. METHODS: We used data from the 1958 National Child Development Study, a prospective birth cohort study (N = 18 558). A four-category outcome (no condition, overweight only, depression only and, overweight-depression comorbidity) was constructed at 23, 33, and 42 years. Multinomial logistic regression models adjusting for intermediate variables co-occurring with this outcome were created. ACEs and sex interaction on comorbidity risk was tested. RESULTS: In our study sample (N = 7762), we found that ACEs were associated with overweight-depression comorbidity risk throughout adulthood (RRR [95% CI] at 23y = 3.80 [2.10-6.88]) though less overtime. Comorbidity risk was larger than risk of separate conditions. Intermediate variables explained part of the association. After full-adjustment, an association remained (RRR [95% CI] at 23y = 2.00 [1.08-3.72]). Comorbidity risk related to ACEs differed by sex at 42. CONCLUSION: Our study provides evidence on the link and potential mechanisms between ACEs and the co-occurrence of mental and physical diseases throughout the life-course. We suggest addressing ACEs in intervention strategies and public policies to go beyond single disease prevention.

Educational patterning in biological health seven years apart: Findings from the Tromsø Study.

BACKGROUND: Social-to-biological processes is one set of mechanisms underlying the relationship between social position and health. However, very few studies have focused on the relationship between social factors and biology at multiple time points. This work investigates the relationship between education and the dynamic changes in a composite Biological Health Score (BHS) using two time points seven years apart in a Norwegian adult population. METHODS: We used data from individuals aged 30 years and above who participated in Tromsø6 (2007-2008) and Tromsø7 (2015-2016) (n = 8117). BHS was defined using ten biomarkers measured from blood samples and representing three physiological systems (cardiovascular, metabolic, inflammatory). The higher the BHS, the poorer the health status. FINDINGS: Linear regression models carried out on BHS revealed a strong educational gradient at two distinct time points but also over time. People with lower educational attainment were at higher risk of poor biological health at a given time point (ßlow education Tromsø6=0.30 [95 %-CI=0.18-0.43] and ßlow education Tromsø7=0.30 [95 %-CI=0.17-0.42]). They also presented higher longitudinal BHS compared to people with higher education (ßlow education = 0.89 [95 %-CI=0.56-1.23]). Certain biomarkers related to the cardiovascular system and the metabolic system were strongly socially distributed, even after adjustment for sex, age, health behaviours and body mass index. CONCLUSION: This longitudinal analysis highlights that participants with lower education had their biological health deteriorated to a greater extent over time compared to people with higher education. Our findings provide added evidence of the biological embodiment of social position, particularly with respect to dynamic aspects for which little evidence exists.

The effect of smoking initiation in adolescence on the subsequent smoking trajectories of people who smoke, and the role of adverse childhood experiences: Results from the 1958 British cohort study.

OBJECTIVE: To examine the association between smoking initiation in adolescence and subsequent different smoking trajectories of people who smoke, and to examine the combined effect of adverse childhood experiences (ACEs) and smoking initiation in adolescence on smoking trajectories of people who smoke. DESIGN AND SAMPLE: Data are from 8757 individuals in Great Britain from the birth cohort National Child Development Study and who reported being smokers or former smokers by age 23. MEASUREMENTS: Smoking initiation in adolescence was measured at 16 y and smoking trajectories were derived from smoking variables from ages 23 to 55. We modelled the relationship between smoking initiation in adolescence with or without ACEs and smoking trajectories. RESULTS: Individuals who initiated smoking in adolescence were more likely to quit later than quitting in twenties (RRR quitting in thirties  = 3.43 [2.40; 4.89] p < .001; RRR quitting in forties  = 5.25 [3.38; 8.14] p < .001; RRR quitting in fifties  = 4.48 [2.95; 6.79] p < .001), to relapse (RRR Relapse  = 3.66 [2.82; 4.76] p < .001) and to be persistent smokers (RRR persistent  = 5.25 [3.81; 7.25] p < .001) compared to those who had initiated smoking in young adulthood. These effects were particularly pronounced in case of ACEs. CONCLUSION: Smoking prevention programs aimed at reducing smoking initiation should be promoted to adolescents to limit the burden of smoking, especially for people who have suffered adversity during childhood.

Intraprofessional learning: Dentistry and oral health students' readiness and experience.

INTRODUCTION: Intraprofessional learning is a promising approach to enhance teamwork and patient care. This mixed-method study aimed to assess the readiness and experience of dental and oral health students toward intraprofessional learning. METHODS: Dental and oral health students were paired alternatively in a clinician and assistant role in a pediatric clinical setting. The Readiness for Interprofessional Learning Scale was adapted for a pre- and post-survey. Focus groups were conducted to elicit the students' shared learning experience. RESULTS: Approximately 50% of dental and oral health students participated in the pre- and post-survey. Pre-test findings revealed similar attitudes toward intraprofessional practice for both groups. However, a statistically significant lower score (p < 0.022) for the oral health students in the post-test suggested a less positive attitude toward their experience. Qualitative results indicated that dental students acquired a better understanding of the clinical scope of oral health students, and they learned clinical skills and behavior management from their counterparts. Conversely, oral health students experienced a hierarchical lack of collegiality and reciprocity from dental students, which may have contributed to their lower post-test score. Despite this, some oral health students gained more confidence in their roles and abilities within the intraprofessional team. Overall, dental students valued this learning experience more and desired more intraprofessional opportunities. CONCLUSION: Both groups of dental and oral health students had similar readiness levels to enter intraprofessional practice, appreciated the intraprofessional experience, and gained an increased appreciation for the collaborative approach to patient care. Intraprofessional learning during training may assist with developing collegiality across the dental professions in practice.

The level of education is associated with an anxiety-depressive state among men and women - findings from France during the first quarter of the COVID-19 pandemic.

CONTEXT: It is widely recognised that the COVID-19 pandemic has negatively impacted individuals' mental health. However, little emphasis has been put on the possible influence of socio-economic factors in the relationship. In the context of the COVID-19 pandemic, our objectives were (i) to assess the relationship between education level and mental health in French adults, and (ii) to study the influence of the economic, social, health and the COVID-19-related factors in men and women respectively. METHOD: Data are from 32,581 individuals representative of the French population who responded to the weekly survey "Baromètre COVID-19" between April 7th and May 31st 2020. Education level was self-reported (university degree, high school qualification, vocational certificate/qualification, no diploma). Anxiety-depressive state was derived from four items related to the frequency of occurrence of depressive and anxiety symptoms, and summarized in an overall validated anxiety-depressive score. Multivariate linear regression analyses were carried out with nested adjustments of variables related to economic, social, health and COVID-19 contexts to assess the relationship between education and anxiety-depressive state. RESULTS: In total, 45% of individuals reported symptoms of anxiety-depressive state (53% in women versus 36% in men). Among men, those with a vocational certificate/qualification and those with no diploma had a greater risk of having a higher anxiety-depressive state compared to those with a university degree (ßVocational certificate/qualification = 0.16 [0.04; 0.27]; ßNo diploma = 0.75 [0.43; 1.07]) while among women, the risk of anxiety-depressive state increased as education level decreased (ßBaccalaureate = 0.37 [0.25; 0.49]; ßVocational certificate/qualification = 0.41 [0.28; 0.54]; ßNo diploma = 0.8 [0.49; 1.12]). For both men and women, economic, health, and COVID-19 factors partly attenuate these associations while social factors marginally modified the relationship. After accounting for confounders and intermediate variables, the absence of a diploma remained associated with anxiety-depressive state among men, while the whole educational gradient of anxiety-depressive state persisted among women. CONCLUSION: In France, at the end of the first wave of COVID-19, individuals with a lower level of education had a higher risk of anxiety-depressive state. This association was more pronounced for women, highlighting a process of social inequality in health possibly related to gender. This should be considered in future prevention and public health interventions.

Building capacity for citizen science in health promotion: a collaborative knowledge mobilisation approach.

Policymakers and practitioners in health promotion (e.g. those working for local, state or federal government organisations or community and non-government organisations with a focus on health and wellbeing) are increasingly interested in citizen science as a means of involving the public in research and decision making. The potential benefits of citizen science approaches in health promotion include increased research capacity, incorporation of community perspectives on problems and solutions, and improved public awareness and acceptance of actions to improve health. However, health promotion practitioners and policymakers report having limited familiarity and experience with citizen science and a desire to build their capacity in these approaches. The Citizen Science in Prevention (CSP) project aims to build capacity for citizen science in health promotion by: 1) supporting the development and implementation of citizen science projects by policymakers and practitioners, 2) establishing a network of health promotion stakeholders with familiarity and interest in citizen science approaches, and 3) co-designing resources to support the use of citizen science in policy and practice contexts. A comprehensive mixed methods evaluation will establish the reach, satisfaction, and impacts that can be attributed to the capacity building intervention. This paper describes the first known initiative to build capacity in the application of citizen science approaches in health promotion and we hope that this work will assist others in the development and implementation of capacity building activities for citizen science in health promotion and beyond.

Citizen science, the active involvement of members of the public in undertaking research, is gaining attention as a means of involving the public in research and decision making in health promotion. However, despite increasing interest in citizen science, policymakers and practitioners in health promotion (e.g. those working for local, state or federal government organisations or community and non-government organisations with a focus on health and wellbeing), lack the knowledge, skills and confidence to apply these approaches within their work. Knowledge mobilisation is a process designed to ensure research is useful for society, underpinned by researchers and non-academic partners working together to ensure that the knowledge produced is relevant and useful to those responsible for making decisions in practice. Within this paper we describe how we have used a knowledge mobilisation approach to work in partnership with health promotion agencies to develop, implement and evaluate a suite of activities aimed at building capacity in the use of citizen science approaches in health promotion.

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.

Explaining biological differences between men and women by gendered mechanisms.

BACKGROUND: The principal aim of this study was to explore if biological differences between men and women can be explained by gendered mechanisms. METHODS: We used data from the 1958 National Child Development Study, including all the living subjects of the cohort at the outcome collection wave (44-45 years). We explored several biomarkers as outcomes: systolic blood pressure, triglycerides, LDL cholesterol, HbA1c, CRP, and cortisol. Three conceptualizations of gender have been used to define methodological strategies: (a) Gender as an individual characteristic; (b) Gender as an effect of sex on socio-behavioural characteristics; (c) Gender as an interaction between sex and the social environment, here the early-life social environment. We estimated the total effect of sex and the proportion of total effect of sex at birth eliminated by gender, measured by 3 different ways according to these 3 concepts, using g-computation. RESULTS: The average level of each biomarker was significantly different according to sex at birth, higher in men for cardiometabolic biomarkers and higher in women for inflammatory and neuroendocrine biomarkers. The sizes of the differences were always smaller than one standard deviation but were larger than differences due to early-life deprivation, except for CRP. We observed gender mechanisms underlying these differences between men and women, even if the mediation effects were rarely statistically significant. These mechanisms were of three kinds: (1) mediation by socio-behavioural characteristics; (2) attenuation by gendered mechanisms; (3) interaction with early social environment. Indeed, we observed that being born into a deprived rather than non-deprived family increased metabolic and inflammatory biomarkers levels more strongly in females than in males. CONCLUSIONS: The biological differences between men and women seem to not be purely explained by biological mechanisms. The exploration of gender mechanisms opens new perspectives, in terms of methodology, understanding and potential applications.

Toward a conceptual framework of health and its operational definition: an application in the 1958 British birth cohort.

BACKGROUND: Defining and measuring Health presents a challenge, partly due to its conceptual pluralism. To measure Health as an ability to adapt and self-manage, we developed an approach within the theoretical framework of resources and reserves over the life course, recently proposed in the literature. We aimed to (i) use the conceptual framework developed to identify indicators of deteriorating health reserves, (ii) construct an overall health measure from these indicators, (iii) evaluate the association between the overall health measure and subsequent health outcomes and (iv) assess the robustness of our method. METHODS: We used data from 7,043 individuals born in 1958 in Great Britain included in the National Child Development Study. An overall health measure was constructed via the sum of three selected indicators of deteriorating health reserves in mid-life: chronic widespread pain (CWP), Clinical Interview Schedule - revised (CIS-r), and allostatic load (AL). A three-category variable was defined: impaired/medium/optimal overall health. We explored criterion validity by modelling the relationships between the overall health measure, or each reserve taken separately at 44-45 years, and self-rated health at 46 years and mortality up to 58 years, corresponding to 14 years of follow up, using Cox and logistic regressions respectively. We performed comparative analyses to assess the robustness of the method. RESULTS: Having an impaired overall health measure was significantly associated with all-cause premature mortality (HRimpaired = 2.74 [1.86; 4.05]) and an increased risk of later fair/poor/very poor self-rated health (ORimpaired = 7.50 [6.29; 8.95]). The overall health measure had a greater effect on the self-rated health estimates than each indicator of deteriorating health reserves considered separately (ORAL medium = 1.82 [1.59; 2.09]; ORAL high = 2.74 [2.37; 3.16]; ORCIS-r = 5.20 [4.45; 6.08]; ORCWP = 2.85 [2.53; 3.21]). CIS-r and allostatic load were also associated with premature mortality contrary to chronic widespread pain (HRAL medium1.82 [1.27; 2.61]; HRAL high = 3.10 [2.19; 4.40]; HRCIS-r = 1.77 [1.22; 2.56]; HRCWP = 1.32 [0.98; 1.76]). The multiple comparative analyses conducted allowed us to assess the robustness of our method within this cohort. CONCLUSIONS: We proposed a method for measuring Health in mid-life in line with the concept of Health as the ability to adapt and self-manage and the concept of health reserves. This method may be applied and further developed within the field of social and positive epidemiology.

Baseline characteristics of participants in the NAVKIDS2 trial: a patient navigator program in children with chronic kidney disease.

BACKGROUND: Children with chronic kidney disease (CKD) require multidisciplinary care to meet their complex healthcare needs. Patient navigators are trained non-medical personnel who assist patients and caregivers to overcome barriers to accessing health services through care coordination. This trial aims to determine the effectiveness of a patient navigator program in children with CKD. METHODS: The NAVKIDS2 trial is a multi-center, waitlisted, randomized controlled trial of patient navigators in children with CKD conducted at five sites across Australia. Children (0-16 years) with CKD from low socioeconomic status rural or remote areas were randomized to an intervention group or a waitlisted control group (to receive intervention after 6 months). The study primary and secondary endpoints include the self-rated health (SRH) (primary), and utility-based quality of life, progression of kidney dysfunction of the child, SRH, and satisfaction with healthcare of the caregiver at 6 months post-randomization. RESULTS: The trial completed recruitment in October 2021 with expected completion of follow-up by October 2022. There were 162 patients enrolled with 80 and 82 patients randomized to the immediate intervention and waitlisted groups, respectively. Fifty-eight (36%) participants were from regional/remote areas, with a median (IQR) age of 9.5 (5.0, 13.0) years, 46% were of European Australian ethnicity, and 65% were male. A total of 109 children (67%) had CKD stages 1-5, 42 (26%) were transplant recipients, and 11 (7%) were receiving dialysis. CONCLUSION: The NAVKIDS2 trial is designed to evaluate the effectiveness of patient navigation in children with CKD from families experiencing socioeconomic disadvantage. A higher resolution version of the Graphical abstract is available as Supplementary information.

Interaction between patient and general practitioner according to the patient body weight: a cross-sectional survey.

OBJECTIVE: To analyse whether patient-general practitioner (GP) interaction, measured by their disagreement, varies among overweight or obese patients compared with normal-weight patients. METHODS: Twenty-seven GPs and 585 patients participated in the quantitative phase of the multidisciplinary INTERMEDE project and answered "mirrored" questionnaires collecting both GPs and patients' perceptions on information and advice given at the end of the consultation. Multilevel logistic regressions were performed to explore associations between patient body mass index (BMI) and patient-GP disagreement on information and advice given during the consultation. RESULTS: Disagreement increased with the patients' excess weight, and it was particularly pronounced for advice given by GPs on weight and lifestyle issues. Compared with patients with a "normal" BMI, overweight patients were more likely to disagree with their GP regarding advice given on weight loss (odds ratio [OR] = 10.7, 95% confidence interval [CI] = 4.1-27.3), advice given on doing more physical activity (OR = 1.9, 95% CI = 1.1-3.4), and nutritional advice (OR = 2.9, 95% CI = 1.5-5.6). CONCLUSION: These disagreements could degrade the quality of patient-physician relationship. Our study provides an opportunity for GPs to reflect on how they communicate with overweight and obese patients, particularly with regard to lifestyle and weight-related advice and interventions taking into account the patient's representations.

Early childhood caries sequelae and relapse rates in an Australian public dental hospital.

BACKGROUND: Early childhood caries (ECC) remains one of the most prevalent childhood diseases in Australia, disproportionately affecting disadvantaged populations. AIM: To investigate the ECC experience including risk factors, incidence of caries, pain and infection as well as relapse rates of caries and secondary dental general anaesthesia (GA). DESIGN: A retrospective cohort study included dental records of children with ECC, aged <72 months at an Australian public dental hospital paediatric dentistry department from 2013 to 2015 (n = 102). Dental caries, pain, infection, referral patterns, demographic and caries risk factor data were recorded for 24 months. Descriptive statistics were used for patient characteristics and clinical data, and Kaplan-Meier curves and parametric exponential survival models for time-to-event series. RESULTS: The study population demonstrated higher-than-national average dmft and disease progression at baseline. Major risk factors for the development of caries, pain and infection were daily consumption of sweetened beverages, poor oral hygiene, residing in lower socio-economic areas, older age and being male. Rates of caries relapse and new referral for secondary treatment under general anaesthesia were relatively high. CONCLUSION: A high degree of ECC progression and recurrence in this population indicates a need for a more comprehensive approach to ECC addressing multilevel root causes and systemic risk factors.

Developing a systems thinking guide for enhancing knowledge mobilisation in prevention research.

Knowledge mobilisation aims to increase research impact in policy and practice. 'Mobilising' knowledge implies a social interaction and involves an iterative, collaborative process. We argue that this process is strengthened when underpinned by systems thinking. Previous research has integrated systems thinking with knowledge mobilisation. We built on this to develop an applied tool to support prevention researchers seeking to incorporate systems thinking into their knowledge mobilisation work. We refer to this tool as the 'systems thinking guide for knowledge mobilisation'. Our guide was developed through a stepwise process that included: 1) An inductive thematic synthesis of previous research in this area; 2) Reflexive deliberation to identify critical focus areas, drawing on the synthesis and the authors' experiences of applying systems approaches to knowledge mobilisation; 3) Development of a set of questions designed for end users to consider against the backdrop of their own research and contexts; 4) Trialling these questions through a series of workshops; and 5) Revision based on user feedback. The proposed systems thinking guide includes 13 questions and 18 subquestions to help researchers frame their knowledge mobilisation strategies using a systems perspective. Our next steps are applying this guide to other research projects and reviewing and reporting on its implementation and real-world use. In the meantime, we invite other research teams to test this tool and contribute constructive feedback on its usefulness and potential further development.

Leadership for systems change: Researcher practices for enhancing research impact in the prevention of chronic disease.

Introduction: Strengthening systems for chronic disease prevention is essential. Leadership for systems change is an important key to strengthening systems. Leadership in prevention research for supporting systems change remains a relatively abstract concept and there is limited empirical information about the leadership practices of prevention research teams when viewed through a complexity lens. In this paper we examine and describe some systems leadership practices for creating change through prevention research, as identified in a series of six case studies. Methods: A qualitative approach incorporating semi-structured interviews, participant observation, and document review was used to facilitate an in-depth investigation of the research topic. Results: Several researcher practices for enhancing research impact in the prevention of chronic disease were distilled from the data pertaining to how they sought to create change. These included persuasive communication, compassion and deep listening, reflective practice, and embedding themselves within the systems they sought to change. Discussion: The findings provide insights that may assist prevention researchers and other practitioners dedicated to creating change in chronic disease prevention.

Assessing How Social Exposures Are Integrated in Exposome Research: A Scoping Review.

BACKGROUND: Exposome research aims to describe and understand the extent to which all the exposures in human environments may affect our health over the lifetime. However, the way in which humans interact with their environment is socially patterned. Failing to account for social factors in research exploring the exposome may underestimate the magnitude of the effect of exposures or mask inequalities in the distribution of both exposures and outcomes. OBJECTIVES: We aimed to describe the extent to which social factors appear in the exposome literature, the manner in which they are used in empirical analyses and statistical modeling, and the way in which they are considered in the overall scientific approach. METHODS: We conducted a scoping review of the literature using three databases (PubMed, Embase, and Web of Science) up to January 2022. We grouped studies based on the way in which the social variables were used in the analyses and quantified the type and frequency of social variables mentioned in the articles. We also qualitatively described the scientific approach used by authors to integrate social variables. RESULTS: We screened 1,001 records, and 73 studies were included in the analysis. Fifty-five (∼75%) used social variables as exposures or confounders or both, and a wide array of social variables were represented in the articles. Individual-level social variables were more often found, especially education and race/ethnicity, as well as neighborhood-level deprivation indices. Half of the studies used a hypothesis-free approach and the other half, a hypothesis-driven approach. However, in the latter group, of 35 studies, only 8 reported and discussed at least one possible social mechanism underlying the relationship observed between the social variable and the outcome. DISCUSSION: Social factors in exposome research should be considered in a more systematic way, considering their role in structuring both the specific external and the internal exposome. Doing so could help to understand the mechanisms of construction and, potentially, alleviate social inequalities in health and mitigate the emergence of new ones. https://doi.org/10.1289/EHP11015.

Health Impacts of the COVID-19 Lockdown Measure in a Low Socio-Economic Setting: A Cross-Sectional Study on Reunion Island.

In March 2020, the French government implemented nation-wide measures to reduce social contact and slow the progression of the emerging coronavirus responsible for COVID-19, the most significant being a complete home lockdown that lasted 8 weeks. Reunion Island is a French overseas department marked by large social inequalities. We draw the hypothesis that distancing and lockdown measures may have contributed to an increase in the social inequalities in health (SIH) on Reunion Island. The aim of our study was to describe the SIH during lockdown in the Reunionese population. We implemented a cross-sectional telephone survey conducted between 13 May and 22 July 2020, using a retrospective data collection on the lockdown period. A total of 892 adult participants (≥18 years) were recruited in the 114 large Reunionese neighborhoods using the quota method within the national "White Pages" telephone directory. Degraded psychological states, an increase in addictive behaviors, difficulties in accessing food, a decrease in physical activity, delayed medical appointments, violence against women, and health problems in children were driven by the socio-economic characteristics of the population, most often to the disadvantage of social groups exposed to poor living conditions. These results suggest that the COVID-19 lockdown contributed to an increase in SIH.

NAVKIDS2 trial: a multi-centre, waitlisted randomised controlled trial of a patient navigator intervention in children with chronic kidney disease - statistical analysis plan and update to the protocol.

BACKGROUND: This update summarises key changes made to the protocol since the publication of the original protocol for the NAVKIDS2 trial of patient navigators for children with chronic kidney disease (CKD) experiencing social disadvantage and provides the statistical analysis plan (SAP) which has not previously been published. METHODS/DESIGN: The original protocol was published in BMC Nephrology ( https://doi.org/10.1186/s12882-019-1325-y ) prior to the commencement of trial recruitment. During the course of the trial, some key methodological changes needed to be made including changes to eligibility criteria (addition of patients with CKD stages 1-2, broadening of financial status eligibility criterion, addition of patients living in rural/remote areas, modification of age eligibility to 0-16 years, addition of limits related to the language spoken by family, guidance regarding families with multiple eligible children), changes to sites, reduction of sample size, addition of virtual options for consent and study procedures in response to the COVID-19 pandemic, removal of staggered recruitment across sites, addition of outcomes, and changes to the timing and number of assessments. This update summarises the changes made and their rationale and provides the detailed plan for statistical analysis of the trial. These changes have been finalised prior to the completion of study follow-up and the commencement of data analysis. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12618001152213 . Prospectively registered on 12 July 2018.

Avoiding overadjustment bias in social epidemiology through appropriate covariate selection: a primer.

Obtaining accurate estimates of the causal effects of socioeconomic position (SEP) on health is important for public health interventions. To do this, researchers must identify and adjust for all potential confounding variables, while avoiding inappropriate adjustment for mediator variables on a causal pathway between the exposure and outcome. Unfortunately, 'overadjustment bias' remains a common and under-recognized problem in social epidemiology. This paper offers an introduction on selecting appropriate variables for adjustment when examining effects of SEP on health, with a focus on overadjustment bias. We discuss the challenges of estimating different causal effects including overadjustment bias, provide guidance on overcoming them, and consider specific issues including the timing of variables across the life-course, mutual adjustment for socioeconomic indicators, and conducting systematic reviews. We recommend three key steps to select the most appropriate variables for adjustment. First, researchers should be clear about their research question and causal effect of interest. Second, using expert knowledge and theory, researchers should draw causal diagrams representing their assumptions about the interrelationships between their variables of interest. Third, based on their causal diagram(s) and causal effect(s) of interest, researchers should select the most appropriate set of variables, which maximizes adjustment for confounding while minimizing adjustment for mediators.