Health Interventions Research Articles

8102 Hyperandrogenism and its Influence on Emotional and Social Development in Adolescent Daughters of Women with Polycystic Ovary Syndrome

Abstract Disclosure: J.P. del Rio: None. R. Gonzalo: None. M. Maliqueo: None. B. Echiburu: None. A. Ladron de Guevara: None. P. Gaspar: None. M. Alejandro: None. N.R. Crisosto: None. Introduction: Polycystic Ovarian Syndrome (PCOS) is the most prevalent endocrine disorder in adolescents. PCOS is characterized by hyperandrogenism, which can modulate brain maturation, especially in highly neuronal plasticity periods, such as intra-uterine life and adolescence. Daughters of women with PCOS (dPCOS) will probably be exposed to hyperandrogenism during these two periods. However, the effects of hyperandrogenism on psychosocial development have not yet been fully characterized. Objectives: To characterize the consequences of hyperandrogenism in the emotional status and social cognition (SC) on dPCOS. Methods/Design: Analytical cross-sectional study. dPCOS and controls between 12 to 25 years old were recruited. Participants underwent a complete clinical evaluation, serum hormone determinations (including total testosterone, SHBG, androstenedione, 17-OH-progesterone, and OGTT-I with 4 collections (0’-30’-90’-120´)) and ovarian ultrasound characterization. Emotional status and SC were estimated by measurements of affects (PANAS), strength and difficulties (SDQ), self-reported empathy (EQ/SQ and AQ), and gaze patterns measurement via Eye-Tracking (while completing an emotional recognition task). Results: 33 participants were recruited, 15 cases and 18 controls. Median age was 17 and 18 years, respectively. The dPCOS presented a larger anogenital distance (cm) (9.7 vs 7.8; p=0.014), Ferryman-Gallwey score mean (13.0 vs 2.0; p=<0.001) and free androgen index value (7.5 vs 4.1; p=0.004), suggesting hyperandrogenism exposure during intrauterine and adolescence periods. Regarding emotional status and SC, dPCOS exhibited a predominantly negative affective status (PANAS 8.0 vs 2.0, p=0.049) and a higher score in socio-emotional problems (SDQ 2,5 vs 1,5; p=0,047). The eye-tracking registration showed that dPCOS presented a longer time to first fixation in areas of interest (s) (0,35 vs 0,28; p=0,037), which was associated with a worse endpoint in emotional recognition (aR2=-0,920; f=19,48; Pr >|t|=<0,049). Furthermore, the 2D:4D ratio (intrauterine marker of androgen exposure) and insulin levels at 60’ were correlated with a predominance of negative affects (rho=0,51; p=0,019 and rho= -0,48; p=0,035), and 2D:4D ratio was also correlated with less prosocial behaviors (coef=-2,39; P>|t|=0,049). Conclusions: Clinical and hormonal markers suggest that dPCOS are exposed to hyperandrogenism during the most critical neuroplasticity periods. This exposure is associated with a predominance of negative affects, more social-emotional difficulties and worse performance on emotional recognition and prosocial behavior. Considering PCOS patient’s elevated psychiatric comorbidity, early mental health intervention becomes crucial, underscoring the necessity for in-depth study on hyperandrogenism's impacts on psychosocial development. Presentation: 6/3/2024

Burden of SARS-CoV-2 infection prior to vaccine eligibility among immunocompromised children aged 1-11years at a pediatric tertiary referral hospital in Toronto, Canada.

SARS-CoV-2 seroprevalence reflects the efficacy of pandemic infection prevention and control measures. We performed anti-spike IgG serological testing on residual sera of children 1-11years old at a tertiary care referral center between October and November 2021. Immunocompromised patients had the highest SARS-CoV-2 seroprevalence, at 40.5%, compared to 19.3% in non-immunocompromised patients. Targeted infection prevention and public health interventions are warranted for pediatric immunocompromised patients in future pandemics.

Emotional competence self-help app versus cognitive behavioural self-help app versus self-monitoring app to prevent depression in young adults with elevated risk (ECoWeB PREVENT): an international, multicentre, parallel, open-label, randomised controlled trial.

Effective, scalable interventions are needed to prevent poor mental health in young people. Although mental health apps can provide scalable prevention, few have been rigorously tested in high-powered trials built on models of healthy emotional functioning or tailored to individual profiles. We aimed to test a personalised emotional competence app versus a cognitive behavioural therapy (CBT) self-help app versus a self-monitoring app to prevent an increase in depression symptoms in young people. This multicentre, parallel, open-label, randomised controlled trial, within a cohort multiple randomised trial (including a parallel trial of wellbeing promotion) was done at four university trial sites in the UK, Germany, Spain, and Belgium. Participants were recruited from schools, universities, and social media from the four respective countries. Eligible participants were aged 16-22 years with increased vulnerability indexed by baseline emotional competence profile, without current or past diagnosis of major depression. Participants were randomly assigned (1:1:1) to usual practice plus either the personalised emotional competence self-help app, the generic CBT self-help app, or the self-monitoring app by an independent computerised system, minimised by country, age, and self-reported gender, and followed up for 12 months post-randomisation. Outcome assessors were masked to group allocation. The primary outcome was depression symptoms (according to Patient Health Questionnaire-9 [PHQ-9]) at 3-month follow-up, analysed in participants who completed the 3-month follow-up assessment. The study is registered with ClinicalTrials.gov, NCT04148508, and is closed. Between Oct 15, 2020, and Aug 3, 2021, 1262 participants were enrolled, including 417 to the emotional competence app, 423 to the CBT app, and 422 to the self-monitoring app. Mean age was 18·8 years (SD 2·0). Of 1262 participants self-reporting gender, 984 (78·0%) were female, 253 (20·0%) were male, 15 (1·2%) were neither, and ten (0·8%) were both. 178 participants in the emotional competence app group, 191 in the CBT app group, and 199 in the self-monitoring app group completed the follow-up assessment at 3 months. At 3 months, depression symptoms were lower with the CBT app than the self-monitoring app (mean difference in PHQ-9 -1·18 [95% CI -2·01 to -0·34]; p=0·006), but depression symptoms did not differ between the emotional competence app and the CBT app (0·63 [-0·22 to 1·49]; p=0·15) or the self-monitoring app and emotional competence app (-0·54 [-1·39 to 0·31]; p=0·21). 31 of the 541 participants who completed any of the follow-up assessments received treatment in hospital or were admitted to hospital for mental health-related reasons considered unrelated to interventions (eight in the emotional competence app group, 15 in the CBT app group, and eight in the self-monitoring app group). No deaths occurred. The CBT app delayed increases in depression symptoms in at-risk young people relative to the self-monitoring app, although this benefit faded by 12 months. Against hypotheses, the emotional competence app was not more effective at reducing depression symptoms than the self-monitoring app. CBT self-help apps might be valuable public mental health interventions for young people given their scalability, non-consumable nature, and affordability. European Commission.

Digital communication between mothers and community health workers to support neonatal health (CHV-NEO): study protocol for a randomized controlled trial

BackgroundProvision of essential newborn care at home, rapid identification of illness, and care-seeking by caregivers can prevent neonatal mortality. Mobile technology can connect caregivers with information and healthcare worker advice more rapidly and frequently than healthcare visits. Community health workers (CHWs) are well-suited to deliver such interventions. We developed an interactive short message service (SMS) intervention for neonatal health in Kenya, named CHV-NEO. CHV-NEO sends automated, theory-based, actionable, messages throughout the peripartum period that guide mothers to evaluate maternal and neonatal danger signs and facilitate real-time dialogue with a CHW via SMS. We integrated this intervention into Kenya’s national electronic community health information system (eCHIS), which is currently used at scale to support CHW workflow.MethodsThe effect of CHV-NEO on clinical and implementation outcomes will be evaluated through a non-blinded cluster randomized controlled trial. Twenty sites across Kisumu County in Western Kenya were randomized 1:1 to provide either the national eCHIS with integrated CHV-NEO messaging (intervention) or standard of care using eCHIS without CHV-NEO (control). We will compare neonatal mortality between arms based on abstracted eCHIS data from 7200 pregnant women. Secondary outcomes include self-reported provision of essential newborn care (appropriate cord care, thermal care, and timely initiation of breastfeeding), knowledge of neonatal danger signs, and care-seeking for neonatal illness, compared between arms based on questionnaires with a subgroup of 2000 women attending study visits at enrollment in pregnancy and 6 weeks postpartum. We will also determine CHV-NEO’s effect on CHW workflows and evaluate determinants of intervention acceptability, adoption, and fidelity of use through questionnaires, individual interviews, and messaging data.DiscussionWe hypothesize that the CHV-NEO direct-to-client communication strategy can be successfully integrated within existing CHW workflows and infrastructure, improve the provision of at-home essential newborn care, increase timely referral of neonatal illness to facilities, and reduce neonatal mortality. The intervention’s integration into the national eCHIS tool will facilitate rapid scale-up if it is clinically effective and successfully implemented.Trial registrationClinicalTrials.gov, NCT05187897. The CHV-NEO study was registered on January 12, 2022.

Considering User Experience and Behavioral Approaches in the Design of mHealth Interventions for Atrial Fibrillation: Systematic Review.

Atrial fibrillation (AF) is a leading chronic cardiac disease associated with an increased risk of stroke, cardiac complications, and general mortality. Mobile health (mHealth) interventions, including wearable devices and apps, can aid in the detection, screening, and management of AF to improve patient outcomes. The inclusion of approaches that consider user experiences and behavior in the design of health care interventions can increase the usability of mHealth interventions, and hence, hopefully, yield an increase in positive outcomes in the lives of users. This study aims to show how research has considered user experiences and behavioral approaches in designing mHealth interventions for AF detection, screening, and management; the phases of designing complex interventions from the UK Medical Research Council (MRC) were referenced: namely, identification, development, feasibility, evaluation, and implementation. Studies published until September 7, 2022, that examined user experiences and behavioral approaches associated with mHealth interventions in the context of AF were extracted from multiple databases. The PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines were used. A total of 2219 records were extracted, with only 55 records reporting on usability, user experiences, or behavioral approaches more widely for designing mHealth interventions in the context of AF. When mapping the studies onto the phases of the UK MRC's guidance for developing and evaluating complex interventions, the following was found: in the identification phase, there were significant differences between the needs of patients and health care workers. In the development phase, user perspectives guided the iterative development of apps, interfaces, and intervention protocols in 4 studies. Most studies (43/55, 78%) assessed the usability of interventions in the feasibility phase as an outcome, although the data collection tools were not designed together with users and stakeholders. Studies that examined the evaluation and implementation phase entailed reporting on challenges in user participation, acceptance, and workflows that could not be captured by studies in the previous phases. To realize the envisaged human behavior intended through treatment, review results highlight the scant inclusion of behavior change approaches for mHealth interventions across multiple levels of sociotechnical health care systems. While interventions at the level of the individual (micro) and the level of communities (meso) were found in the studies reviewed, no studies were found intervening at societal levels (macro). Studies also failed to consider the temporal variation of user goals and feedback in the design of long-term behavioral interventions. In this systematic review, we proposed 2 contributions: first, mapping studies to different phases of the MRC framework for developing and evaluating complex interventions, and second, mapping behavioral approaches to different levels of health care systems. Finally, we discuss the wider implications of our results in guiding future mHealth research.

A Nationwide Physical Activity Intervention for 654,500 Adults in Singapore: Cost-Utility Analysis.

Increasing physical inactivity is a primary risk factor for diabetes and hypertension, contributing to rising health care expenditure and productivity losses. As Singapore's aging population grows, there is an increased disease burden on Singapore's health systems. Large-scale physical activity interventions could potentially reduce the disease burden but face challenges with the uncertainty of long-term health impact and high implementation costs, hindering their adoption. We examined the cost-effectiveness of the Singapore National Steps Challenge (NSC), an annual nationwide mobile health (mHealth) intervention to increase physical activity, from both the health care provider perspective, which only considers the direct costs, and the societal perspective, which considers both the direct and indirect costs. We used a Markov model to assess the long-term impact of increased physical activity from the NSC on adults aged 17 years and older. A Monte Carlo simulation with 1000 samples was conducted to compare two situations: the NSC conducted yearly for 10 years against a no-intervention situation with no NSC. The model projected inpatient and outpatient costs and mortality arising from diabetes and hypertension, as well as their complications. Health outcomes were expressed in terms of the quality-adjusted life-years (QALYs) gained. All future costs and QALYs were discounted at 3% per annum. Sensitivity analyses were done to test the robustness of our model results. We estimated that conducting the NSC yearly for 10 years with a mean cohort size of 654,500 participants was projected to prevent 6200 diabetes cases (95% credible interval 3700 to 9100), 10,500 hypertension cases (95% credible interval 6550 to 15,200), and 4930 deaths (95% credible interval 3260 to 6930). This led to a reduction in health care costs of SGD (Singapore dollar) 448 million (95% credible interval SGD 132 million to SGD 1.09 billion; SGD 1=US $0.73 for the year 2019). There would be 78,800 (95% credible interval 55,700 to 102,000) QALYs gained. Using a willingness-to-pay threshold of SGD 10,000 per QALY gained, the NSC would be cost-saving. When indirect costs were included, the NSC was estimated to reduce societal costs by SGD 1.41 billion (95% credible interval SGD 353 million to SGD 3.80 billion). The model was most sensitive to changes in the inpatient cost of treatment for diabetes complications, time horizon, and program compliance. In this modeling study, increasing physical activity by conducting a yearly nationwide physical activity intervention was cost-saving, preventing diabetes and hypertension and reducing mortality from these diseases. Our results provide important information for decision-making in countries that may consider introducing similar large-scale physical activity programs.

The burden of type 2 diabetes attributable to dietary risks in China: Insights from the global burden of disease study 2021

ObjectivesThis study aims to comprehensively assess how dietary risk factors have influenced the prevalence of Type 2 Diabetes Mellitus (T2DM) in China from 1990 to 2021. The study seeks to provide robust data and scientific evidence essential for formulating effective preventive and control strategies to combat T2DM in China. Study designThis cross-sectional study conducted secondary analyses using data from the Global Burden of Disease 2021 (GBD 2021) to assess the burden of T2DM in China attributable to dietary risks. MethodsThe study analyzed age-adjusted metrics related to T2DM, including death counts, Disability-Adjusted Life Years (DALYs), and Age-Standardized Rates (ASRs), using GBD 2021 data, stratified by age and sex. Additionally, Estimated Annual Percentage Changes (EAPCs) were employed to track trends over time. ResultsIn 2021, the results show that 21.43 % of T2DM-related deaths and 23.51 % of DALYs were attributable to dietary risk factors, notably a diet low in whole grains and high in red and processed meats. Over the period from 1990 to 2021, there has been an increasing trend in the EAPCs of death rates and DALYs associated with dietary risks in China, suggesting a substantial impact of dietary factors on the burden of T2DM in the country. ConclusionThis study highlights the urgent need for targeted public health interventions to promote dietary changes and reduce the burden of T2DM in China.

Folate fortification for spina bifida: preventing neural tube defects.

Neural tube defects (NTDs), such as spina bifida and anencephaly, are severe congenital anomalies affecting the development of the brain and spine. These conditions are often linked to folic acid deficiency during early pregnancy, a modifiable risk factor. While high-income countries have implemented mandatory folic acid fortification in staple foods, resulting in significant reductions in NTD prevalence, low- and middle-income countries (LMICs) continue to experience disproportionately high rates of these birth defects. Folic acid supplementation and fortification are proven interventions for preventing NTDs, but many LMICs face political, financial, and logistical barriers to implementing these programs. This paper highlights the importance of mandatory folic acid fortification as a cost-effective public health intervention and advocates for its expansion in LMICs. It reviews the successes of fortification programs in high-income countries, explores alternative food vehicles like rice for regions with different dietary staples, and discusses the potential of multi-nutrient fortification strategies. Additionally, this paper emphasizes the need for global collaboration, enhanced monitoring and evaluation, and public health education campaigns to ensure that women of reproductive age, especially in LMICs, receive adequate folic acid. By addressing these challenges, the global health community can significantly reduce the incidence of NTDs, improve maternal and child health, and promote health equity worldwide. The time to act is now, as the benefits of folic acid fortification far outweigh the costs of inaction.

Clinico-epidemiological profile of dermatology patients: a one-year study at a newly established tertiary care centre in India

Background: Dermatology is predominantly an outpatient specialty focused on the diagnosis and treatment of dermatoses affecting the skin. We conducted a study on the demographic and clinical characteristics of patients attending the outpatient clinic to better understand the clinico-epidemiological profile and to predict morbidity patterns within the specific geographical region. Methods: A retrospective study was conducted over the past year, encompassing all patients who visited the outpatient dermatology clinic at AIIMS, Raebareli. The study systematically documented a range of dermatoses, including disorders affecting the skin, hair, and nails. Results: A total of 4,188 patients were included in the study, comprising 2,681 (64%) adults, 978 (23.4%) geriatric patients, and 529 (12.6%) pediatric patients. Among these, 1,311 patients primarily suffered from infections, followed by 752 patients with dermatitis. Of those with infections, 1,024 (78%) were diagnosed with fungal infections, while scabies was observed in 126 patients (9.6%). In the adult group, 756 (28.2%) patients had infections, while 429 (16%) patients were affected by dermatitis. Similar patterns were observed in both the geriatric and pediatric groups, with infections being the most prevalent, affecting 214 and 341 patients, respectively. Conclusions: Based on the findings of this study, it can be concluded that infections, particularly fungal infections, are the most prevalent dermatological conditions across all age groups in the population studied. Dermatitis also emerged as a significant concern, particularly among adult patients. The high prevalence of infectious dermatoses, especially in geriatric and pediatric patients, highlights the need for targeted public health interventions and preventive measures.

Enhancing dietary analysis: Using machine learning for food caloric and health risk assessment.

In the wake of growing concerns regarding diet-related health issues, this study investigates the application of machine learning methods to estimate the energy content and classify the health risks of foods based on the USDA National Nutrient Database. The caloric content of foods was estimated using the nutritional composition (i.e., carbohydrates, protein, total lipid, and total sugar content) and classified based on their weighted health risks, considering their carbohydrate, lipid, and glycemic index levels. The algorithms used for modeling include multiple linear regression (MLR), K-nearest neighbors, support vector machine, random forest regression (RFR), gradient-boosted regression, decision trees (DT), and deep neural networks. The MLR model demonstrated high accuracy on the training dataset (R2=0.99, mean absolute error [MAE]=7.71kcal, and root mean squared error [RMSE]=17.89kcal) and testing dataset (R2=0.99, MAE=7.75kcal, and RMSE=18kcal) in energy estimation, indicating its effectiveness in dietary assessment. The RFR and DT models were useful in categorizing foods into low-health-risk foods, but their performance was reduced in medium and high-health-risk groups. This research contributes to developing tools that could aid in personalized dietary planning and public health interventions to mitigate diet-related health risks. PRACTICAL APPLICATION: This study applies machine learning to estimate how many calories are in food and to understand the health risks different foods might have. By investigating the fats, cholesterol, and sugars in food items listed in a public database, we can better plan diets or develop apps that help people make healthier eating choices. This work aims to improve public access to nutritional information, supporting efforts to combat diet-related diseases through educational materials and applications that guide dietary choices in various settings.

Technological Innovations in Enhancing Digital Mental Health Engagement for Low-Income Groups

Malaysia, classified as a low-income group, faces a significant burden of mental health problems. Digital Mental Health Interventions (DMHI) offer innovative solutions to address mental disorders (MD) through the application of scientific principles and engineering technologies. This study investigates the digital mental health (DMH) tools used to prevent MD and identifies the factors influencing their adoption among low-income groups (LIG). This study reviews four key articles that highlight three main DMH tools: Mobile Health (mHealth), telehealth, social media platforms, and chatbots. It identifies key factors driving engagement with DMH tools among LIG, including accessibility, communication, affordability, cultural sensitivity, and government policies. Advances in technology are enhancing the accessibility and effectiveness of DMH tools, making them increasingly viable for LIG. By leveraging applied science and engineering technologies, these tools can reduce the cost of mental health care, improve service utilization, and alleviate the burden of mental disorders.

Assessing the Effectiveness of an mHealth Intervention to Support Men Who Have Sex With Men Engaging in Chemsex (Budd): Single-Case and Pre-Post Experimental Design Study.

This study focuses on the Budd app, a mobile health intervention designed for gay, bisexual, and other men who have sex with men who participate in chemsex. Chemsex, the use of psychoactive drugs in a sexual context, presents substantial health risks including increased HIV transmission and mental health issues. Addressing these risks requires innovative interventions tailored to the unique needs of this population. This study aims to evaluate the effectiveness of the Budd app in promoting drug harm reduction practices among its users, focusing on knowledge, behavioral intention, risk behavior awareness, and self-efficacy. The study used a mixed methods approach, combining a single-case experimental design and a pre-post study. A total of 10 participants from an outpatient clinic were recruited, and each attended the clinic 3 times. During the first visit, participants installed a restricted version of the Budd app, which allowed them to report daily mood and risk behavior after chemsex sessions. Phase A (baseline) lasted at least 2 weeks depending on chemsex participation. In the second visit, participants gained full access to the Budd app, initiating phase B (intervention). Phase B lasted at least 6 weeks, depending on chemsex participation, with identical data input as phase A. Participants completed pre- and postintervention surveys assessing behavioral determinants during the first and third visit. The study observed an increased knowledge about chemsex substances postintervention, with a mean percentage improvement in knowledge scores of 20.59% (SD 13.3%) among participants. Behavioral intention and self-efficacy showed mixed results, with some participants improving while others experienced a decrease. There was also a variable impact on awareness of risk behavior, with half of the participants reporting a decrease postintervention. Despite these mixed results, the app was generally well-received, with participants engaging with the app's features an average of 50 times during the study. The Budd app showed effectiveness in enhancing knowledge about chemsex substances among gay, bisexual, and other men who have sex with men. However, its impact on safe dosing behavior, behavioral intention, self-efficacy, and risk behavior awareness was inconsistent. These findings suggest that while educational interventions can increase knowledge, translating this into behavioral change is more complex and may require more participants, a longer follow-up period, and additional strategies and support mechanisms.

Capturing sources of health system legitimacy in fragmented conflict zones under different governance models: a case study of northwest Syria

IntroductionLegitimacy and trust are crucial for resilient health systems in fragmented conflict zones. This study evaluates the legitimacy of health systems in northwest Syria under different governance models.MethodsUsing a deductive and inductive mixed-methods approach, the research team developed a framework with an index, 4 sub-indices and 18 indicators to assess the legitimacy of health systems using different governance models – top-down, bottom-up, and hybrid – in the context of the response to the earthquake that hit Syria in February 2023. The study includes surveys, workshops, stakeholder consultations, and an expert panel conducted in northwest Syria and online.ResultsThe findings indicate that bottom-up health governance model is perceived as the most legitimate, followed by the mixed model, while top-down model is perceived as the least legitimate. This preference is measured across all legitimacy source sub-indices, including legality, justification, consent and performance and across the overall Health System Legitimacy Index (HSLI). However, the hybrid governance approach showed limited superiority at two indicator levels regarding long-term health system response.ConclusionThis study highlights the importance of considering the legitimacy of the health system in fragmented conflict zones. It helps explain the effectiveness of the bottom-up approach and community-based governance in enhancing trust, cooperative behaviour, health interventions and achieving sustainability. Additionally, the study highlighted the role of legitimate health systems in practising civic virtue and promoting social justice, thus contributing to peace-building efforts. These insights are crucial for policymakers and development donors to strengthen health systems in challenging contexts.

Patient-Reported Outcome Measures for Pelvic Organ Prolapse: A Systematic Review Using the COnsensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) Checklist.

Patient-reported outcome measures (PROMs) are recommended to measure the impact of a health condition or intervention effectiveness as they aim to capture what is most meaningful to patients. Several PROMs are used to evaluate pelvic organ prolapse (POP)-related domains, yet the measurement properties of these instruments have not been fully explored with a rigorous analysis of the methodological quality and quality of evidence. To conduct a systematic review reporting on the measurement properties of PROMs used for the assessment of POP-related domains in accordance with the COSMIN guidelines. Five databases were searched from inception to December 2023. Studies were eligible if they involved (1) at least one group of female adults diagnosed with or presenting with symptoms of POP; (2) a self-reported outcome measure (PROMs, questionnaires) to evaluate POP-related domains; and (3) at least one measurement property. Methodological quality and measurement quality were assessed using the COSMIN risk of bias (ROB) checklist and the COSMIN criteria for good measurement properties. A total of 13 PROMs were included. The BIPOP had the lowest ROB for Content Validity. The POP-SS was the only PROM with sufficient evidence of adequate construct validity and responsiveness to be used in both surgical and conservative management settings. This original work identified a gap in evidence regarding the measurement qualities of identified PROMs used in the POP population.

Determinants of access to primary healthcare for formerly incarcerated women transitioning into the community: a systematic review of the literature

BackgroundWomen with a history of incarceration experience significantly poorer health outcomes and encounter barriers to accessing healthcare, both during incarceration and after release. These challenges are more pronounced compared with...

Global health impacts of high BMI: A 30-Year analysis of trends and disparities across regions and Demographics

ObjectiveThis study explores the global disease burden associated with high Body Mass Index (BMI) from 1990 to 2021, using data from the Global Burden of Disease Study 2021 (GBD 2021). MethodsWe applied Joinpoint regression to assess trends in deaths and Disability-Adjusted Life Years (DALYs) and employed ARIMA models to project future BMI-related burdens. ResultsFrom 1990 to 2021, global deaths linked to high BMI surged by 153.97%, rising from 1.46 million to 3.71 million. DALYs increased by 167.57%, with the highest rises in North Africa, the Middle East, and South Asia. Women, particularly those aged 75 and above, experienced the most significant burden, with a faster rate of increase in disease burden compared to men post-2000. Future projections indicate a continued rise in BMI-related health impacts, particularly in low- and middle-income countries. ConclusionsThe global disease burden attributable to high BMI is increasing rapidly, particularly in low- and middle-income regions. Targeted public health interventions, especially for women and the elderly, are crucial to addressing this growing health challenge.

Fluctuations in Mediterranean Diet Adherence Pre- and Post-Pandemic: A Study of Portuguese Cohorts 2019–2024

Background/Objectives: The Mediterranean Diet (MD) is a lifestyle offering numerous health benefits. Nevertheless, the adherence to the MD is moderate even in Mediterranean countries. While sociodemographic factors influence MD adherence, additional impacts occurred due to the COVID-19 pandemic. This cross-sectional longitudinal study with three cohorts of Portuguese adults analyzes MD adherence before, during, and after the COVID-19 pandemic, and explores the effect of sociodemographic variables. Methods: Sociodemographic factors, lifestyle habits, and MD adherence were assessed in the years 2019, 2021, and 2024 with an online self-filled questionnaire. MD adherence was measured with the Mediterranean Diet Adherence Screener (MEDAS). Results: MEDAS score increased significantly (p < 0.05) from 2019 to 2021 (6.2 ± 0.7 to 7.7 ± 0.1), followed by a significant (p < 0.05) decrease in 2024 (7.2 ± 0.1) relative to 2019, which was more pronounced in participants with higher income. Accordingly, a trend in healthier food choices was observed followed by a decline in 2024. Of note is the significant increase in red meat consumption (p < 0.05) in 2024 relative to 2021. Respondents who consumed more red meat were mostly men, employed, or in a stable relationship. Most respondents practiced sport “Never or occasionally” in 2019 and 2021 (59.4 and 55.2%, respectively); in 2024, this category was significantly (p < 0.05) reduced (40.9%); men or higher-income participants were more likely to meet the recommended activity levels. Conclusions: This study reveals that the improvements in MD lifestyle during the pandemic were not sustained in 2024, as healthier habits formed during confinement were not fully integrated into long-term behavior. These findings strengthen the need for targeted public health interventions to promote the MD.

The Universal Neighborhood Effect Averaging in Mobility-Dependent Environmental Exposures.

The neighborhood effect averaging problem (NEAP) is a fundamental statistical phenomenon in mobility-dependent environmental exposures. It suggests that individual environmental exposures tend toward the average exposure in the study area when considering human mobility. However, the universality of the NEAP across various environmental exposures and the mechanisms underlying its occurrence remain unclear. Here, using a large human mobility data set of more than 27 000 individuals in the Chicago Metropolitan Area, we provide robust evidence of the existence of the NEAP in a range of individual environmental exposures, including green spaces, air pollution, healthy food environments, transit accessibility, and crime rates. We also unveil the social and spatial disparities in the NEAP's influence on individual environmental exposure estimates. To further reveal the mechanisms behind the NEAP, we perform multiscenario analyses based on environmental variation and human mobility simulations. The results reveal that the NEAP is a statistical phenomenon of regression to the mean (RTM) under the constraints of spatial autocorrelation in environmental data. Increasing travel distances and out-of-home durations can intensify and promote the NEAP's impact, particularly for highly dynamic environmental factors like air pollution. These findings illuminate the complex interplay between human mobility and environmental factors, guiding more effective public health interventions.

Recommendations for empirical syndemics analyses: A stepwise methodological guide

Syndemic theory posits that co-occurring diseases interact in a manner that increases disease transmission, progression, and negative health outcomes. And that adverse socioeconomic and environmental conditions promote this disease or health condition clustering and interaction. The concept offers two important contributions to the health sciences. First, it positions socioeconomic, structural, and environmental conditions as central to disease burdens. Second, as a portmanteau – ‘syn’ for synergy and ‘demic’ for disease epidemics – syndemic theory indicates that in some cases diseases do not merely co-occur but synergistically interact to affect an outcome that is more than the accumulation of the individual disease effects. The difficulty in operationalizing these central elements has resulted in a divergence of scholarship from the centralizing principles of the theory towards a simpler accumulation perspective in which more conditions equate to worse health outcomes. In addition, all empirical syndemic assessments should include robust qualitative assessments of the dynamics, however, much syndemic scholarship focuses only on quantitative analyses. To address these issues, a five-step approach to quantitative analyses of syndemic arrangements is proposed: (1) identifying disease clusters within a defined population; (2) determining the relevant social and structural factors that support disease clustering; (3) determining if clusters are distinct by social/demographic groups within the population; (4) evaluating if the identified disease cluster contributes to worse health outcomes; and (5) assessing for synergy between clustering diseases. This stepwise strategy ensures not only a rigorous assessment of hypothesized syndemic interactions but also presents a closer alignment of scholarship with syndemics theory. As an illustration, the approach is applied to an assessment of a hypothesized HIV/cardiovascular disease syndemic in South Africa. While syndemics theory has proven valuable in guiding public health interventions and policy, progressive improvement must be made in the application of the theory to ensure that it continues to effectively inform comprehensive practice.

Exploring the association between consultation themes and suicidal ideation: a gender-stratified analysis of Hangzhou Mental Health Hotline (2014-2023)

BackgroundSuicide is a critical global public health issue that demands a better understanding of its complex causes and effective interventions. This study examines data from the Hangzhou Mental Health Hotline (2014-2023) to explore the relationship between consultation themes and suicidal ideation, with an emphasis on gender differences and how these associations changed during different phases of the COVID-19 pandemic.MethodsThis retrospective analysis covers 128,245 calls to the hotline over a decade. Chi-square tests identified differences in suicidal ideation across consultation themes and demographics. Multivariate logistic regression models were used to examine the relationship between specific themes and suicidal ideation, adjusting for confounders. The analysis was stratified by gender and pandemic phases to assess the interaction between gender and pandemic-related changes.ResultsThe incidence of suicidal ideation was highest during the mid-pandemic phase (11.95%), compared to the pre-pandemic (7.68%) and post-pandemic phases (10.66%). Additionally, the rate was slightly higher among female callers (9.8%) than male callers (9.4%). Physical illness (OR = 4.70, 95% CI: 3.71-5.91) had the strongest association with suicidal ideation, followed by mental health issues (OR = 3.35, 95% CI: 3.03-3.70). Compared to male callers, female callers were more significantly affected by physical illness (OR = 6.86 vs. OR = 3.71, p < 0.001) and mental health issues (OR = 6.81 vs. OR = 2.11, p < 0.001). In the context of romantic relationship problems, female callers had a higher likelihood of suicidal ideation (OR = 4.13 vs. OR = 1.88, p < 0.001). Similarly, marital and family issues were more strongly associated with suicidal ideation in female callers (OR = 4.58 vs. OR = 1.21, p < 0.001). During the global COVID-19 pandemic, the association between suicidal ideation and consultation themes among male callers showed a sharp upward trend, which eased after the pandemic. In contrast, the association among female callers gradually accumulated and continued to worsen in the later stages of the pandemic.ConclusionThis study highlights the necessity of implementing gender-sensitive mental health interventions tailored to different gender groups during and after global crises such as the COVID-19 pandemic, to safeguard public mental health effectively.