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The Developmental Origins of Health and Disease (DOHaD) framework has transformed understanding of how early-life exposures shape health across the life course, yet populations from Oceania remain underrepresented in this research. The Raine Study is a globally unique, multigenerational longitudinal pregnancy cohort established in Western Australia, one of the world’s most geographically isolated regions. The study recruited 2900 pregnant women (Generation1) in 1989, which resulted in 2868 live births forming Generation 2, and is now currently recruiting Generation 3 (the children of Generation 2). This paper describes the evolution of the Raine Study from its origins as a pregnancy cohort grounded in DOHaD to a comprehensive life-course and multigenerational research resource. This resource has led to key research findings that have informed international clinical guidelines and national and state health policies across areas including prenatal development and care safety, neurodevelopment, cardiometabolic health, obesity, liver disease, physical activity, mental health, sedentary behaviour, sleep, and assisted reproductive technologies. Central to the Raine Study’s success is a longstanding commitment to participant partnership and engagement, resulting in exceptional retention and strong consumer involvement in governance and research prioritisation. The Raine Study demonstrates the critical value of well-characterised, place-based cohorts for advancing DOHaD and life-course science and provides a globally significant resource to inform prevention strategies, precision medicine, and public health policy across generations.
Mental disorders are a leading cause of disease burden in 10–24-year-olds. In Australia, fragmentation within and across health, mental health and human services sectors contributes to gaps in service provision and increased disease burden. Comprehensive methodologies are needed to identify service gaps and inefficiencies to shape policy, optimise resource allocation and improve outcomes for young people.
Aims
To describe the design and methodology of a population-based data linkage study involving evaluation of health, mental health and human service use among young people in Victoria and identify subgroups experiencing unmet mental health needs.
Method
The primary cohort comprises young people aged 12–25 years in the period between January 2018 and December 2025. For comparative purposes, children aged 5–11 years and adults aged 26–53 years are also included. We describe data sources, linkage methodology and planned analyses. Traditional statistical methods alongside contemporary machine learning and natural language processing techniques will be used.
Results
The study will provide a comprehensive examination of the clinical characteristics of young people, their service use behaviour and typical pathways through care that cannot be gleaned from examining datasets in isolation. Ongoing consultation and engagement with young people and key stakeholders will inform interpretation, dissemination and translation of findings.
Conclusions
By integrating data across multiple service sectors, this study will generate novel evidence regarding pathways through care and unmet mental health needs among Victorian young people. Findings will inform mental health service reform and support improvements in healthcare delivery, service integration and outcomes for young people.
Antibiotic resistance is a critical global health threat, with over a million deaths linked to resistant infections every year. Inappropriate antibiotic use for childhood diarrhoeal illness is a significant contributor to antimicrobial resistance. This is particularly important in low-resource settings where antibiotics are often used without clear clinical indication. This study explored the knowledge and perspectives of antibiotic stewardship among clinicians and caregivers of paediatric patients in Bangladesh. In-depth interviews were conducted with 18 clinicians and 36 patient caregivers across three government hospitals. While few clinicians were familiar with the term ‘antibiotic stewardship’, most understood its core principles and supported judicious prescribing. Caregivers were generally unfamiliar with the concept of antimicrobial stewardship, though a few acknowledged the risks of antibiotic overuse. Clinicians described informal stewardship efforts but highlighted the absence of structured programmes. Key challenges to stewardship included community-level antibiotic dispensing by informal providers, staffing shortages, caregiver expectations for antibiotics, and pressure to satisfy families’ perceived expectations. Despite barriers, clinicians expressed support for educational initiatives and system-level efforts to promote antibiotic stewardship. These findings underscore the need for integrated, facility- and community-based approaches like decision-making support tools for providers, institutional reviews of antibiotic use, and community education on the dangers of inappropriate antibiotic use. Strengthening antibiotic stewardship in low-resource settings like Bangladesh is essential to curb misuse and combat the growing threat of antibiotic resistance.
This chapter provides a conceptual framework of public health. We define the term public health as the health conditions of populations and the social responses to these conditions: "public" refers to populations; and "health" refers to both health conditions and responses to those conditions, devoid of any predefined value. We conceptualize public health as both an interdisciplinary field of inquiry and a space for professional practice. We also explore the intellectual evolution of the field, which has at times focused on the prevention or management of disease, and at others encompassed a broader concept of health. It has also evolved from a narrower view of the individual or family as the object of intervention, to a more comprehensive focus on the biophysical and social environment. Finally, we discuss how our proposed definition compares with alternative definitions of public health and population health in use currently.
The COVID-19 pandemic unfolded alongside an unprecedented ‘infodemic’ that reshaped public engagement with science, health, and authority. This study examines how online infodemics translated into collective resistance and influenced population health through political mobilisation. Using structural equation models across six European countries, I conceptualise resistance as a latent construct – captured by residential mobility and protests opposing vaccines, lockdowns, and public health measures linked to populist radical right (PRR) movements – acting as a behavioural bridge between digital information environments and epidemic outcomes. The findings reveal a robust infodemic–resistance–epidemic pathway: greater exposure to infodemic content consistently predicts stronger opposition to non-pharmaceutical interventions (NPIs) and vaccination. This effect is strongest in Germany and Italy, where PRR networks amplified narratives of ‘elite overreach’ and ‘freedom under threat’, transforming online discontent into organised mobilisation. In other countries, resistance appears weaker and more pandemic-specific. By integrating informational, political, and epidemiological processes, the analysis shows how epidemics can evolve into politicised collective behaviour that undermines compliance and sustains transmission. The results highlight populist mobilisation as a key amplifier of epidemic risk and suggest that effective responses must rebuild trust, depoliticise health communication, and address structural sources of grievance.
Medicaid work requirements were found in 2018 to be contrary to the Medicaid statute because, according to the D.C. Circuit, “the objective of Medicaid was to furnish medical assistance.” Even though the Secretary of Health and Human Services determined that the work requirements were “likely to assist in improving health outcomes,” the court concluded that “better health outcomes as [an] objective of Medicaid … lacks textual support. Indeed, the statute makes no mention of that objective.”
With the second Trump administration making Medicaid work requirements a centerpiece of its budget, the “objectives of Medicaid” reemerge as both an important statutory constraint on the program and a foundational question for health policy. Though the upcoming debate will likely ride on the efficacy of work requirements, the broad implications of the litigation will inevitably shape broad implications for future Medicaid policy.
This article delves into the Medicaid statute to reveal its core objectives, and it makes one legal and one policy claim. First, Medicaid’s statutory language does support the promotion of better health outcomes as one of the program’s objectives, and second, providing services that fall outside “medical assistance” is critical in improving health outcomes to beneficiaries. As an empirical matter, nonmedical services have become a staple of health care delivery in recent decades, including in some of Medicaid’s signature initiatives, and a careless revisitation of the legality of work requirements undermine some of the program’s most important advances.
To address the legality of work requirements, courts should embrace Medicaid’s broader objectives and instead apply one of the statute’s mostly ignored requirements: states must evaluate the efficacy of their innovations. The Medicaid statute encourages states to experiment with new health care delivery strategies to find more affordable and cost-effective strategies to promote population health, including those that rely on nonmedical interventions, but the constraint is not whether those innovations are consistent with Medicaid’s legal objectives but rather whether they are empirically shown to improve population health. And precisely because public health research has identified a wealth of social, behavioral, and nonmedical interventions that have proven to be effective in promoting population health, a proper understanding of the Medicaid statute and the program’s objectives are critical in implementing effective health policy, in the second Trump administration and beyond.
Cervicovaginal fluid (CVF) represents a promising biospecimen for ovarian cancer biomarker discovery, but metabolomics typically requires specialized collection methods. We assessed the feasibility of applying untargeted metabolomics to self-collected CVF from 10 ovarian cancer patients in the ORCHiD (Ovarian Cancer Epidemiology, Healthcare Access and Disparities) study using ultrahigh performance liquid chromatography-tandem mass spectroscopy. We detected 1107 compounds mapping to 1002 unique metabolite identifiers across 9 super chemical classes, with detection rates of 62–99%. One-third of detected metabolites overlapped with published studies, while two-thirds were novel. Sample-level detection profiles were broadly consistent. Untargeted metabolomics on self-collected CVF is technically feasible and enables metabolite discovery for population-based cancer research.
Persistent disparities in child health highlight the need for clinical and public health research approaches to identify and address risks with greater spatial precision. This study linked residence-and neighborhood-specific socio-environmental data to population-wide healthcare data to characterize pediatric hospitalization risk for every residential address in Cincinnati, Ohio.
Methods:
We linked hospitalization data (07/01/2016–06/30/2022) to parcel-level housing data from the Hamilton County Auditor and Cincinnati Department of Buildings & Inspections and street-range crime data from the Cincinnati Police Department. Addresses were localized to 2010 census tracts to join variables from the US Census American Community Survey and Eviction Lab. Generalized random forest models estimated address-level hospitalization risk and birth-adjusted hospitalization risk, accounting for child residency using vital birth records. Model performance was assessed based on varying diagnostic thresholds; fairness was evaluated by census block-level racial demographics.
Results:
We matched 81.5% of hospitalizations to residential addresses. Among 77,077 addresses, 7.4% had ≥1 hospitalization. Our model performed well (ROC-AUC: 0.98–0.99; PR-AUC: 0.65–0.72) in characterizing high-risk addresses, with housing violations, violent crime, and market total value among top features. The birth-adjusted model also showed high performance (ROC-AUC: 0.92–0.93; PR-AUC: 0.65–0.78) and moderate agreement with the hospitalization risk model (κ = 0.43).
Conclusions:
Our results highlight the potential of address-level modeling and multiscale data integration to build on traditional area-level analyses and advance precision population health. Future directions include geographic expansion, stakeholder engagement, and patient-level validation. This work offers a scalable approach to precisely identifying pediatric health risks, supporting targeted clinical and policy interventions.
Understanding the financial implications of intensive care unit (ICU) survivor care is critical to the success of ICU follow-up clinics. The model of value-based healthcare first suggested by Porter and Teisburg in their 2006 book, Redefining Health Care: Creating Value-Based Competition on Results, presents a perspective from which to argue for the importance of ICU follow-up clinics. A robust understanding of the financial implications of ICU follow-up clinics must go beyond billing and collections generated by these clinics and should focus on total value provided by these clinics to patients. A general equation to assess value is value = quality / cost. Cost should include not only cost to providers or payors but also to patients and their families. We present a series of practical financial considerations when developing a follow-up clinic that focus on the value attained relative to the costs of running the clinic. We also suggest areas that would benefit from further research, such as optimal staffing, alignment of time frame for resolution of post intensive care syndrome with time points at which the value of follow-up clinics is assessed, and application of behavioral economics to ICU survivor follow-up care process design.
Mortality trends among Indigenous peoples in Brazil remain poorly characterised. An ecological time-series study (2010–2022) was conducted, comparing Indigenous and non-Indigenous populations using nationwide open-access demographic and mortality data. Mortality was stratified by sex, age, and ICD-10 groups, populations were compared using Pearson’s chi-square test (p < 0.05), and trends were evaluated with joinpoint regression (JR) to estimate Average Annual Percentage Changes (AAPCs). Between 2010 and 2022, mortality among Indigenous peoples increased by 82.5% (from 2,927 to 5,343), compared with a 42.3% increase in the non-Indigenous population. Over 40% of deaths among Indigenous peoples occurred outside health facilities in both years, versus fewer than 30% among non-Indigenous populations. Crude mortality rates remained lower in Indigenous peoples (2010: 35.8 versus 55.9; 2022: 43.5 versus 74.8 per 10,000 population). However, age-specific differences were marked: mortality among Indigenous children and adolescents (0–19 years) was 3.3 times higher in 2010 and 3.8 times higher in 2022, while mortality among adults aged ≥40 years was approximately 2.5 times lower in both years compared with non-Indigenous populations (all p < 0.05). Mortality rates among Indigenous peoples were consistently higher for maternal, perinatal, and congenital conditions in both 2010 and 2022. JR revealed heterogeneous proportional mortality trends: significant increases in perinatal, congenital, and external causes (AAPC approximately 5.0–6.4%), as well as neoplasms, circulatory, haematological, digestive, respiratory, and endocrine/metabolic diseases (AAPC approximately 1.6–4.4%); a significant decline in infectious and parasitic diseases (AAPC −6.6%); and stability in other groups. Indigenous peoples in Brazil continued to face unfavourable mortality, particularly among children, adolescents, and maternal conditions. Many leading causes of death are preventable. Strengthening primary healthcare, expanding prenatal and perinatal services, improving vaccination and mental-health support, and adopting culturally safe, community-driven strategies to address chronic diseases are critical to reducing inequities and preventable deaths.
Governments are seeking to regulate food environments to promote health by restricting sales and marketing of processed foods high in fat, sugar and sodium. We aimed to evaluate whether the legal instruments in member states of the Western Pacific Region (WPR) mandate the declaration of nutrient composition for nutrients of concern in relation to Codex Alimentarius and non-communicable disease (NCD) prevention.
Design:
We undertook content analysis of legal instruments governing food quality and safety, documenting mandates for nutrient declarations in the WPR. Legal instruments were purposefully sourced through a systematic search of regional legal databases and Google. We performed qualitative and quantitative analysis, using an adapted version of Reeve and Magnusson’s Framework for Analysing and Improving the Performance of Regulatory Instruments.
Setting:
Legal instruments governing food quality and safety in twenty-eight member states of the WPR.
Results:
There was substantial variation in the nutrient declaration mandates within legal instruments, with only three out of twenty-eight countries mandating nutrient declarations in full alignment with Codex recommendations (energy, protein, available carbohydrate, fat, saturated fat, sodium and total sugars). Just four countries mandated the display of sodium, sugar, saturated fat and trans-fats, in line with NCD prevention recommendations. Sodium labelling was mandated in ten countries, sugar in seven and saturated fat in six.
Conclusions:
There is scope for countries to strengthen legal instruments for nutrient declarations to better support diet-related NCD prevention efforts. Regional support agencies can play a key role in promoting greater policy coherence and alignment with international best practice.
Hypertension (HTN) is the primary cause of preventable cardiovascular-related deaths globally, representing the most important modifiable risk factor for preventing such deaths. Nearly 700 million of the 1.3 billion adults with HTN worldwide remain untreated, most of whom live in low-and middle-income countries, including East Africa. Barriers to the diagnosis of HTN also impact treatment adherence after diagnosis and the initiation of treatment. This scoping review used a qualitative synthesis method to describe studies examining the cultural and contextual factors influencing HTN treatment adherence in East Africa and the lived experiences of patients with HTN to gain a better understanding of these factors in the region. A total of 34 studies, 25 qualitative and 9 mixed-methods designs from five East African nations were included in the final review. Reported influencing factors are classified into individual, structural, and social factors. Lack of HTN literacy and limited risk perception were often cited as individual barriers to adherence, along with mental health challenges, including fear of stigma, while trust and HTN literacy enhanced adherence. Inconsistent healthcare delivery, lack of access, and financial constraints were the most reported structural factors. Social norms surrounding health behaviours and attitudes towards HTN treatment were identified as key determinants of adherence at the social level. The findings underscore the complex interplay of individual, structural, and social factors associated with HTN treatment adherence in East Africa, offering practical ways to enhance adherence in the region at all three levels.
Existing research demonstrates that insomnia is common, with significant negative impacts on health and quality of life. Cognitive–behavioural therapy for insomnia (CBT-I), the first-line treatment, is highly cost-effective. However, healthcare records have not been used in the UK to establish real-world insomnia prevalence, inequalities or unmet need.
Aims
This study’s aim was to establish the above in North Central London.
Method
Data were extracted from primary care records across three London boroughs for 765 035 patients. Prevalence was determined by identifying those with a recent code for insomnia, insomnia treatment or sleeping tablet prescription.
Results
Insomnia prevalence was 4.3%. Prevalence increased steadily with age, and was highest for women (4.9%), those of Bangladeshi ethnicity (7.3%) and those in the most deprived quintile (5.2%). Prevalence was significantly higher in patients with comorbidities (including chronic obstructive pulmonary disease (17.5%), severe mental illness (16.6%) and depression (14.1%)). Only 1.7% of people with insomnia had been referred for CBT-I.
Conclusions
Findings suggested that insomnia is at least as common as illnesses receiving high levels of focus and resourcing in the UK, and that prevalence estimates were probably underestimates. Variation in prevalence by demographic factors and deprivation may represent health inequalities. Insomnia was particularly common among patients with certain comorbidities and of advancing age, indicating that those groups should be actively screened. Concerningly, referral rates for CBT-I were extremely low. This has important implications regarding population health management, commissioning and training. Prevalence and unmet need are likely to be high in many other areas and should be investigated locally.
Rural and urban environments are exposed to the same types of climate-induced disasters, but rural populations are considered particularly vulnerable to the adverse health effects associated with these disasters. This study compares individual-level public health preparedness for climate-induced disasters in rural versus urban environments and examines the impact of rurality on variables that influence preparedness attitudes and behaviors.
Methods
A national, online survey was conducted from April to June 2024. Chi-squared tests and multiple logistic regression models with interaction terms were used to compare the preparedness attitudes and behaviors reported by rural and urban populations.
Results
Rural and urban populations generally shared preparedness attitudes and behaviors, but several significant differences were observed. Regression analysis suggested that rurality interacted with age and income to play a significant role in modifying the odds of having an evacuation plan and reporting concern about the severity of future climate-induced disasters.
Conclusions
Rurality appears to influence certain attitudes and behaviors related to preparedness for climate-induced disasters. Should climate-induced behaviors become more frequent and severe in the future, dedicated efforts should be taken to ensure that these events do not exacerbate health disparities between rural and urban environments.
Biosocial birth cohort studies are uniquely positioned to be novel sites of interdisciplinary research. Their enduring commitment to specific field sites and populations, recurring grant renewal cycles, ability to ask prospective questions while drawing on long-standing data repositories, and more ensure ongoing collaboration and allow research to remain responsive to the evolving needs and timelines of multiple disciplines. However, it is widely recognised that interdisciplinary work is often easier imagined than achieved, and additional conditions are required to facilitate it beyond assembling teams of varied experts. This piece offers mediating practices as a concept that refers to the practical, multi-directional, and relational processes that attempt to resolve tensions that interdisciplinary teams often confront. Mediating practices bridge gaps among different disciplines’ data and methods, often relying on pragmatic strategies, like re-designing data infrastructures or planning action items after a meeting, to do so. As such, mediating practices are crucial to conducting successful interdisciplinary research. Further, the concept of mediating practices foregrounds the actions of junior team members who often perform these practices, highlighting the need to foster epistemic humility and models of horizontal knowledge production in interdisciplinary teams. Here, the authors discuss their experiences and insights as members of interdisciplinary projects and outline how mediating practices emerged in these projects and enabled interdisciplinary success.
The aim of this policy article is twofold: (i) to provide a summary and update of recent important policy developments, in particular relevant guidance on the use of real-world data/real-world evidence (RWD/RWE) by health technology assessment (HTA) bodies and (ii) to set out our policy recommendations on how the different elements of an “RWE framework” we have previously developed could support, further enhance and facilitate the use of RWE for HTA purposes and by HTA bodies and payers.
Methods
We undertook a targeted review and analysis of recent important policy developments. The aim was to build on our recommendations from previous work on the “RWE Framework,” and consider how the relevant tools from our Framework can further enhance and facilitate the use of RWE for HTA purposes and by HTA bodies/payers.
Results
We provide eight conditions that we argue would, in combination, constitute the optimal use and acceptance of RWD/RWE for HTA. We believe that, should the eight conditions hold, RWD/RWE would enable more efficient access to medicines and healthcare technologies for patients.
Conclusions
High-quality, fit-for-purpose RWD/RWE can and should be used more frequently in HTA. Multi-stakeholder and cross-geography collaborative partnerships are needed to align on best practices to optimize the evidence that needs to be generated to satisfy all stakeholders’ needs.
This study aimed to investigate the influence of socio-demographic and epidemiological factors on the secular changes in body size indicators (height, weight, and BMI) among young adults aged 17–22 years in Moscow from the early 20th century to the present. Published average anthropometric data from screening surveys conducted from 1880/1925–26 to 2020–21 were analysed (4,823 males and 5,952 females), along with demographic data from the Federal State Statistics Service of the Russian Federation. Findings revealed consistent anthropometric trends and strong associations between secular changes in body size of Moscow youth and socio-demographic indicators such as population size, life expectancy, and infant mortality rates. An increase in height and weight was noted against the backdrop of urbanisation, increased life expectancy, and reduced infant mortality. These results indicate that the urbanisation process and the transformation of the epidemiological landscape in 20th-century Russia – marked by enhancements in public health, modernisation of the healthcare system, and medical advancements – have had a significant impact on changes in body size across generations. Notably, from the mid-20th century onwards, with the exception of the final decade, conditions favourable to growth and development were established, culminating in a significant increase in definitive anthropometric parameters across successive generations. The findings underscore the imperative for policymakers to bolster investments in urban development, healthcare, and education. Such strategic investments are essential for sustaining and amplifying the positive physical development trends witnessed.
The normative principle that every individual is equally entitled to continued life is a subject of debate in ethics, health economics and policy. We reconsider this principle in the context of setting priorities for healthcare interventions. When applied without restriction, the principle overlooks quality of life concerns entirely. However, we contend that it remains ethically relevant in certain situations, particularly when patients suffer from conditions unrelated to the therapeutic areas and treatments under consideration. Thus, we defend the principle while also emphasizing the need for its application within tight limits.
Diet indices are quantitative assessments of the quality of population intake. Understanding diet quality is crucial to support health and well-being; however, knowledge of diet quality across racial groups is limited. To examine diet quality of acial groups ‘White’, ‘Black’, ‘Asian’, and ‘Other’ in the United Kingdom (U.K.) and United States (U.S.), U.K. and U.S. national survey data were used to calculate Alternative Healthy Eating Index (AHEI-2010), Diet Quality Index-International (DQI-I), and EAT-Lancet scores. ANCOVA tests compared median total quality scores across racial groups adjusting for covariates. Kruskal–Wallis tests examined differences in individual component scores. Spearman correlations identified association of diet quality scores across indices. Highest diet quality scores were reported for U.K. and U.S. Asian groups. Most noticeable differences were apparent between U.S. Asian and White/Black groups (62% Asians within highest tertile of AHEI-2010 score vs. 29% Whites; P < 0.001). All racial groups demonstrated poor diet quality in terms of sustainability; EAT-Lancet scores were <40% of maximum total score for U.S. White, Black, and Other groups. AHEI-2010 diet quality scores were moderately associated with EAT-Lancet scores, evident across all groups (r = 0.53–0.65; P < 0.001). There is a need for all groups to increase intake of wholegrains, especially Black groups (mean Wholegrain score for U.S. Black group within DQI-I was 0.60 (maximum score of 5)) as demonstrated within AHEI-2010, DQI-I, and EAT-Lancet component scores. Additionally, increased intake of vegetables and legumes and decreased intake of processed and red meat would improve the adequacy, healthiness, and sustainability of U.K. and U.S. racial diets.
In the field of American state politics, the tension between majoritarian institutions and equality has largely been ignored. Do state institutions that empower majority preferences exacerbate disparities in social outcomes? Under what conditions do majoritarian institutions exacerbate inequalities in the American states? Our argument is that equality is most likely to be threatened under majoritarian institutions when (1) there are systemic participatory biases and/or (2) there are widespread prejudices about particular groups in society. We find that more majoritarian institutions are associated with larger disparities between White and Black life expectancy and poverty rates across the American states, but not differences in educational attainment. We also find that this effect is moderated by racial context, with majoritarian institutions being associated with greater disparities for states with diverse racial contexts and smaller disparities in more homogenous states. These findings suggest that majoritarian institutions operate to the benefit of the White majority, while coming at the cost of minority population outcomes when a racial threat is perceived, and presumably, public opinion is biased.