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Background: Factors associated with whether individuals choose to participate in serosurveys are not well understood. Understanding perceptions from multiple perspectives, including the perspectives of both data collectors and participants, through a holistic model such as the socio-ecological model contextualizes individual, interpersonal, and structural level influences on survey research participation. We used a multiple methods approach to characterize reasons for serosurvey participation in communities in Southern Province, Zambia where a serosurvey was conducted in 2016.

Methods: The first phase conducted focus group discussions and in-depth interviews with 24 data collectors who participated in a measles-rubella serosurvey in 2016. The second phase surveyed 34 caregivers at health facilities to identify barriers and facilitators to serosurvey participation. Emergent themes were then classified into a socio-ecological model using individual, interpersonal, and structural level constructs.

Results: Common themes emerged from data collectors as well as caregivers surveyed. At the individual level, providing incentives was a facilitator, and some religious beliefs were described as a barrier to serosurvey participation. At the interpersonal level, family dynamics and community peer influences could help or hinder serosurvey participation. Community health workers were consistently named as facilitators of participation. At the structural level, concerns about specimen collection, who was selected for serosurveys, and not receiving test results arose as potential barriers. The most frequently reported facilitator was provision of information about the purpose of the serosurvey (85% of respondents). The most frequently reported barrier was lack of clarity regarding use of their blood specimen (53% of respondents). For specimen collection type, caregivers consistently preferred finger prick blood collection over both venous blood draw and oral swabs.

Conclusion: Serosurvey participation was deemed acceptable to most study participants. The socio-ecological model revealed barriers and facilitators for participation to guide strategies to improve participation which can be applied to ongoing serosurveys for SARS-CoV-2. Serosurveys should continue to develop engagement plans to provide information about blood collection ahead of the serosurvey and communicate the objectives of such studies through trusted sources such as community health workers and traditional leaders.

Life course epidemiology seeks to understand the intricate relationships between risk factors and health outcomes across different stages of life to inform prevention and intervention strategies to optimize health throughout the lifespan. However, extant evidence has predominantly been based on separate analyses of data from individual birth cohorts or panel studies, which may not be sufficient to unravel the complex interplay of risk and health across different contexts. We highlight the importance of a multi-study perspective that enables researchers to: (a) Compare and contrast findings from different contexts and populations, which can help identify generalizable patterns and context-specific factors; (b) Examine the robustness of associations and the potential for effect modification by factors such as age, sex, and socioeconomic status; and (c) Improve statistical power and precision by pooling data from multiple studies, thereby allowing for the investigation of rare exposures and outcomes. This integrative framework combines the advantages of multi-study data with a life course perspective to guide research in understanding life course risk and resilience on adult health outcomes by: (a) Encouraging the use of harmonized measures across studies to facilitate comparisons and synthesis of findings; (b) Promoting the adoption of advanced analytical techniques that can accommodate the complexities of multi-study, longitudinal data; and (c) Fostering collaboration between researchers, data repositories, and funding agencies to support the integration of longitudinal data from diverse sources. An integrative approach can help inform the development of individualized risk scores and personalized interventions to promote health and well-being at various life stages.

Background: The differing global trends in alcohol consumption and policy measures implemented during the COVID-19 pandemic warrant a closer look at the actions taken by civil society organisations (CSOs) and community-led efforts to describe how they may influence and accelerate action for change in alcohol control measures. This paper analyses actions undertaken by CSOs at the national and local levels to safeguard communities and improve alcohol control policies during the COVID-19 pandemic in six African countries.

Methods: A cross-sectional survey was distributed via email to CSOs involved in alcohol prevention, outreach and policy development in Kenya, Lesotho, Namibia, South Africa, Tanzania and Zimbabwe. Individuals (n = 19) working at CSOs responded to the questionnaire from February to March 2022. Questions related to the role of CSOs during the pandemic are analysed and synthesised in this paper. 19 CSOs respondents representing the six countries were included in the study.

Results: Action areas led by CSOs during the COVID-19 pandemic included: (i) direct lobbying advocacy, (ii) conducting public awareness media campaigns and (iii) legal and regulatory interventions linked to the pandemic.

Conclusions: Given the size of the challenges governments faced during the COVID-19 pandemic, the role of CSOs, during the ongoing pandemic and beyond, has become even more relevant to strengthen advocacy and public health interventions for alcohol control in Southern Africa. For this, CSOs should have a "seat at the table" when public health policies are designed, discussed and enforced.

The present healthcare scenario is still in its compromised state, whether it is the lack of infrastructure, medicines and human resources, especially in rural India. Moreover, the condition worsens in rural areas due to several reasons like lack of awareness, proper roads to access, and lack of proper delivery of healthcare model. The state government of Delhi, India, set up the "Mohalla" Clinics to provide essential healthcare to residents of Delhi and the surrounding areas, focusing on the urban poor. Essential health services, such as vaccinations, family planning, and counselling, are available at the Mohalla Clinics, where a doctor, a nurse, a pharmacist, and a lab technician are staffed. Despite a strong start and low operating costs, the Mohalla Clinic initiative still struggles to cover all Delhi state as envisioned. This study analyses the operational challenges of Delhi's "Mohalla" Clinics and proposes lessons to be implemented for other primary healthcare infrastructure services for remote areas. The analysis is based on the systems (infrastructure, facilities, and services) strengths and limitations from a literature review and qualitative interview conducted among 55 respondents, including doctors, nurses, and patients among 11 Mohalla Clinics using the SUTD-MIT (Singapore University of Technology and Design-Massachusetts Institute of Technology Industrial Design Centre) interview template for Product Service System (PSS). The results show that there are lessons to learn from the model of Delhi Mohalla Clinics for other states to implement in their primary healthcare sectors. To achieve Universal Health Coverage (UHC), the Delhi Mohalla Clinic falls short due to several limitations. Thus, to achieve UHC, the Indian healthcare system needs a new healthcare delivery model. Hence, we ought to propose a new healthcare delivery model based on the gained insights from the study. One such delivery model proposed is a mobile Primary Health Center (mPHC). This collapsible system can be taken to far-flung regions, deployed for some hours, run the Out-Patient Department (OPD), collapsed, and returned to base.

Objective: To develop and evaluate the feasibility of a mobile application in Swiss households and assess its impact on dietary behavior and food acceptability between children who cooked with limited parental support (intervention group) with children who were not involved in cooking (control group).

Methods: A ten-week randomized controlled trial was conducted online in 2020. Parents were given access to a mobile-app with ten recipes. Each recipe emphasized one of two generally disliked foods (Brussels sprouts or whole-meal pasta). Parents photographed and weighed the food components from the child's plate and reported whether their child liked the meal and target food. The main outcome measures were target food intake and acceptability analyzed through descriptive analysis for pre-post changes.

Results: Of 24 parents who completed the baseline questionnaires, 18 parents and their children (median age: 8 years) completed the evaluation phase. Mean child baseline Brussel sprouts and whole-meal pasta intakes were 19.0 ± 24.2 g and 86.0 ± 69.7 g per meal, respectively. No meaningful differences in intake were found post-intervention or between groups. More children reported a neutral or positive liking towards the whole-meal pasta in the intervention group compared to those in the control group. No change was found for liking of Brussel sprouts.

Conclusions for practice: The intervention was found to be feasible however more studies on larger samples are needed to validate feasibility. Integrating digital interventions in the home and promoting meal preparation may improve child reported acceptance of some healthy foods. Using such technology may save time for parents and engage families in consuming healthier meals.

Social trust-between governments and people and between individuals-and trust in science were proposed as prerequisites for tackling covid. Others suggested less democratic societies were more able to impose strict rules stopping the virus. These propositions were tested for a group of mainly advanced countries. The dependent variable is cumulated deaths from covid. Findings are broken down between (a) OECD member countries, (b) these and countries having cooperation agreements with it, and (c) all these plus China. They are also broken down by time-between (a) the period before the appearance of "new variants" in late 2020 and (b) the period from then until end September 2021. The best, most parsimonious, models explain nearly half of the changes in the level of deaths. Trust in government improves outcomes, as does interpersonal trust. Vaccine antipathy does not play a role. Also, there is little indication that authoritarian regimes performed better than higher trust societies. In the first period, increasing wealth inequality-indicating a more divided society-is related to higher death rates. Hospital bed availability is important then, but not thereafter. Furthermore, as the pandemic persisted, the importance of pre-existing levels of social trust declined. The paper warns that institutions and cultures cannot easily be transferred from one country to another. Nor would all transfers be desired. It also suggests that some other lessons of what contributed to better outcomes under covid might be relevant for the monkeypox virus-its successor public health emergency.

Human social epigenomics research is critical to elucidate the intersection of social and genetic influences underlying racial and ethnic differences in health and development. However, this field faces major challenges in both methodology and interpretation with regard to disentangling confounded social and biological aspects of race and ethnicity. To address these challenges, we discuss how these constructs have been approached in the past and how to move forward in studying DNA methylation (DNAm), one of the best-characterized epigenetic marks in humans, in a responsible and appropriately nuanced manner. We highlight self-reported racial and ethnic identity as the primary measure in this field, and discuss its implications in DNAm research. Racial and ethnic identity reflects the biological embedding of an individual's sociocultural experience and environmental exposures in combination with the underlying genetic architecture of the human population (i.e., genetic ancestry). Our integrative framework demonstrates how to examine DNAm in the context of race and ethnicity, while considering both intrinsic factors-including genetic ancestry-and extrinsic factors-including structural and sociocultural environment and developmental niches-when focusing on early-life experience. We reviewed DNAm research in relation to health disparities given its relevance to race and ethnicity as social constructs. Here, we provide recommendations for the study of DNAm addressing racial and ethnic differences, such as explicitly acknowledging the self-reported nature of racial and ethnic identity, empirically examining the effects of genetic variants and accounting for genetic ancestry, and investigating race-related and culturally regulated environmental exposures and experiences.

Supplementary information: The online version contains supplementary material available at 10.1007/s44155-023-00039-z.

Understanding the determinants of subjective or self-rated health (SRH) is of central importance because SRH is a significant correlate of actual health as well as mortality. A large body of research has examined the correlates, antecedents, or presumed determinants of SRH, usually measured at a given time or endpoint. In the present study, we investigate whether individual mastery, a prominent indicator of agency, has a positive effect on SRH over a broad span of the life course. Drawing on longitudinal data from the Youth Development Study (n=741), we examine the impacts of mastery on SRH over a 24-year period (from ages 21-22 to 45-46). The findings of a fixed effects analysis, controlling time-varying educational attainment, unemployment, age, obesity, serious health diagnoses, and time-constant individual differences, lead us to conclude that mastery is a stable predictor of SRH from early adulthood to mid-life. This study provides evidence that psychological resources influence individuals' subjective assessment of their health, even when objective physical health variables and socioeconomic indicators are taken into account.