Non-communicable disease syndemics: poverty, depression, and diabetes among low-income populations

Identifying proteins and pathways associated with multimorbidity in 53,026 adults

BACKGROUND AND AIMS

Multimorbidity, the coexistence of multiple chronic diseases, is a rapidly expanding global health challenge, carrying profound implications for patients, caregivers, healthcare systems, and society. Investigating the determinants and drivers underlying multiple chronic diseases is a priority for disease management and prevention.

METHOD

This prospective cohort study analyzed data from the 53,026 participants in the UK Biobank from baseline (2006 to 2010) across 13.3 years of follow-up. Using Cox proportional hazards regression model, we characterized shared and unique associations across 38 incident outcomes (31 chronic diseases, 6 system mortality and all-cause mortality). Furthermore, ordinal regression models were used to assess the association between protein levels and multimorbidity (0-1, 2, 3-4, or ≥ 5 chronic diseases). Functional and tissue enrichment analysis were employed for multimorbidity-associated proteins. The upstream regulators of above proteins were identified.

RESULTS

We demonstrated 972 (33.3 %) proteins were shared across at least two incident chronic diseases after Bonferroni correction (P < 3.42 × 10-7, 93.3 % of those had consistent effects directions), while 345 (11.8 %) proteins were uniquely linked to a single chronic disease. Remarkably, GDF15, PLAUR, WFDC2 and AREG were positively associated with 20-24 incident chronic diseases (hazards ratios: 1.21-3.77) and showed strong associations with multimorbidity (odds ratios: 1.33-1.89). We further identified that protein levels are explained by common risk factors, especially renal function, liver function, inflammation, and obesity, providing potential intervention targets. Pathway analysis has underscored the pivotal role of the immune response, with the top three transcription factors associated with proteomics being NFKB1, JUN and RELA.

CONCLUSIONS

Our results enhance the understanding of the biological basis underlying multimorbidity, offering biomarkers for disease identification and novel targets for therapeutic intervention.

Classification and identification of risk factors for type 2 diabetes

The risk factors for type 2 diabetes mellitus (T2DM) have been increasingly researched, but the lack of systematic identification and categorization makes it difficult for clinicians to quickly and accurately access and understand all the risk factors, which are categorized in this paper into five categories: Social determinants, lifestyle, checkable/testable risk factors, history of illness and medication, and other factors, which are discussed in a narrative review. Meanwhile, this paper points out the problems of the current research, helps to improve the systematic categorisation and practicality of T2DM risk factors, and provides a professional research basis for clinical practice and industry decision-making.

Every problem is embedded in a greater whole

Peter Drucker pointed out an important distinction between 'doing things right' and 'doing the right thing', which recognised that all problems are embedded in a context and thus can only be understood within their unique contextual setting. Contemporary research practices in clinical medicine often regards contextual factors as potential confounders that will bias effect estimates and thus must be avoided. However rigorous, research devoid of context ultimately deprives users of understanding of the support factors that make research transferable to policy decisions or managing care of individual patients-it stands in the way of 'doing the right thing' in 'real life' settings. Appreciating that all problems are embedded in a greater context means that one should not ignore their interconnected and interdependent systemic nature, that is, every variable is simultaneously dependent and independent. This is the reason for the cascading effects and feedback loops witnessed in disease progression and policy efforts. We discuss the need for researchers to a-priori consider the context of their research question as well as the structural relationships of the variables under investigation, which in turn provides the basis for choosing the most appropriate research design. We have a moral imperative to first 'do the right thing'-ask questions that address the contextual needs of our patients, and then to 'do it right'-choose the best research method to answer this contextually framed need. Only then will our research efforts have meaningful and lasting impacts on patient care.

Trends in incidence, prevalence, and mortality of non-communicable diseases in Iraq (2003-2021)

BACKGROUND

Non-communicable diseases (NCDs) have become a major public health concern in Iraq, playing a significant role in the country's morbidity and mortality rates. To offer a thorough overview of the patterns and the overall impact of NCDs on public health, this study aims to map the trends in the incidence, prevalence, and mortality rates of NCDs in Iraq between 2003 and 2021.

METHODS

Data from the Global Burden of Disease (GBD) Study 2021 were utilized. The focus was on Iraq from 2003 to 2021, a period marked by significant social and political changes. Using the GBD results tool, age-standardized prevalence, incidence, and mortality rates (ASPR, ASIR, ASMR) for 12 major NCDs were extracted and expressed per 100,000 population. Descriptive statistics with 95% uncertainty intervals were calculated, and trends were analyzed.

RESULTS

The analysis revealed a nuanced trajectory of NCDs in Iraq between 2003 and 2021. The ASPR of all NCDs increased slightly (change %: 0.1, 95% UI: -2.2 to 2.4), with a notable decline in chronic respiratory diseases (change %: -14.4, 95% UI: (-30.9 to 6.1) and a significant rise in neoplasms (change %: 32.7, 95% UI: -5.9 to 81.3). The ASIR of diabetes and kidney diseases showed the largest increase (change %: 42.9, 95% UI: 28.4 to 59.3), while chronic respiratory diseases had the greatest decline (change %: -12.1, 95% UI: -36.8 to 22.5). Cardiovascular diseases remained the leading cause of mortality in both sexes, with ASMRs increasing slightly for males and decreasing for females over the period. Skin and subcutaneous diseases showed the highest increase in ASMR (change %: 48.2), while digestive diseases experienced the largest decline (change %: -21.4).

CONCLUSION

The GBD 2021 study highlights progress in reducing NCD mortality in Iraq, especially among younger people. However, older males still face high death rates from cardiovascular diseases. Rising cases of cancer, diabetes, and kidney diseases signal the need for targeted interventions. Continued focus on risk factors and healthcare access is essential.

Can social adversity and mental, physical and oral multimorbidity form a syndemic? A concept and protocol paper

Background

Clustering mental, physical and oral conditions reduce drastically the life expectancy. These conditions are precipitated and perpetuated by adverse social, economic, environmental, political and healthcare contextual factors, and sustained through bidirectional interactions forming potentially a 'syndemic'. No previous study has investigated such potential syndemic. Thus, the present project aimed to (i) test for syndemic interactions between social adversity (socioeconomic adversity and traumatic events) and mental, physical and oral multimorbidity using the syndemic theoretical framework; and (ii) determine whether the syndemic relationships vary by age, sex and ethnicity.

Methods

Data from three large-scale population-based databases: UK BioBank, US National Health and Nutrition Examination Survey (NHANES) and the Research with East London Adolescents Community Health Survey (RELACHS) will be analysed. Structural equation modelling (SEM) will be utilised to conceptualise syndemic factors and model complex relationships between directly observed and indirectly observed (latent) variables (syndemic constructs).

Discussion

the syndemic conceptualisation provides a valuable framework to understand health and illness, and hence to better design and deliver effective and cost-effective preventative and curative integrated (syndemic) care to improve patient and population health. Such syndemic care aims to address the social determinants of health, whilst simultaneously managing all interlocked conditions.

Global, regional, and national burden of major depressive disorders in adults aged 60 years and older from 1990 to 2021, with projections of prevalence to 2050: Analyses from the Global Burden of Disease Study 2021

AIMS

To estimate the burden of major depressive disorder (MDD) among older adults and project its prevalence through 2050.

METHODS

Using data from the Global Burden of Disease Study 2021, we calculated age-standardized rates (ASRs) for the incidence, prevalence, and years lived with disability (YLDs) of MDD among people aged ≥60 years from 1990 to 2021. Trends were analyzed using average annual percentage changes (AAPCs). Polynomial regressions were utilized to assess the relationship between economic levels and MDD burden. Prevalence of MDD was forecasted to 2050 using a mixed-effects model with Socio-demographic Index as the predictor.

RESULTS

Globally, the ASRs for incidence, prevalence and YLDs of MDD in older adults increased annually by 0.24 % (95 % CI: 0.18-0.31), 0.25 % (0.19-0.30), and 0.24 % (0.18-0.30), respectively. The fastest growth was observed in adults aged 60-69 years. The burden of MDD among females was approximately 1.5 times higher than males, although rates grew faster among males. Lower-income countries, particularly in sub-Saharan Africa, exhibited the highest burden and growth rates. By 2050, global MDD cases are projected to reach 97.04 million (95 % uncertainty interval [UI]: 71.27-129.85), with an ASR of 4.53 % (3.33-6.07).

CONCLUSIONS

The global burden of MDD among older adults has increased since 1990 and its prevalence is projected to continue increasing through 2050. Increments were faster in males, younger-old adults and people living in lower-income countries. Comprehensive and integrated management systems at nation, community and individual levels for MDD among older adults are essential to mitigate this growing burden and promote healthy aging.

Sertraline in depressed patients with or at risk for coronary heart disese: a systemic review

BACKGROUND AND AIMS

Depression is a prevalent comorbidity among patients with coronary heart disease (CHD). While recent studies have hinted at a possible association between CHD and antidepressant medications like sertraline, the existing evidence remains inconclusive. To investigate this potential link, we conducted a comprehensive systematic review.

METHODS

We systematically searched PubMed, Google Scholar, and Scopus for relevant articles published up to March 2023. After a thorough screening of titles and abstracts, 12 studies were included in our review.

RESULTS

The included studies, spanning from 1999 to 2021, comprised 11 randomized controlled trials (RCTs) and one pilot study. A total of 2767 participants with major depressive disorder and a history of cardiovascular disease or at risk for such events were included. The majority of these studies demonstrated improvements in mood status among patients treated with serotonin-targeting antidepressants and a reduced risk of cardiovascular events, as measured by various outcomes. While some cardiac adverse effects were observed with serotonin treatment, these did not reach statistical significance.

CONCLUSION

Our findings provide evidence supporting the beneficial effects of serotonin-targeting antidepressants for both depressive symptoms and the prevention of coronary adverse outcomes. These results highlight the potential value of serotonin-based treatments for depression in high-risk populations.

A systematic comparison of additive and interaction approaches to modeling the effects of syndemic problems on HIV outcomes in South Africa

Much of the research on the effects of syndemics on HIV outcomes has utilized an additive approach. However, interaction effects may better account for syndemic synergy than an additive approach, but it remains difficult to specify interaction effects without empirical guidance. We sought to systematically compare additive and interaction effects approaches to modeling the effects of syndemic problems on antiretroviral therapy (ART) using empirically specified interaction terms. Participants were 194 people with HIV (PWH) who received HIV care in Khayelitsha, South Africa. In a series of linear regression models, we examined ten syndemic problems: depression, alcohol use, intimate partner violence (IPV), post-traumatic stress, social anxiety, substance use, food insecurity, poverty, housing instability, and structural barriers to care. Depression, substance use, and food insecurity were selected for interaction terms based on a prior network analysis, which found these problems to be most central. The additive models did not produce statistically significant findings. However, the interaction effects models yielded significant interaction terms in both the full model and a parsimonious model. There was a statistically significant effect of the interaction between depression and food insecurity on ART adherence (b = 0.04, Robust SE = 0.02, 95%CI [0.001-0.08], p = .012). This pattern of results was replicated in the parsimonious model. Findings suggest that when feasible, interaction effects approaches may be a helpful syndemic modeling technique. Results may inform future intervention targets, such as depression and food insecurity, and the importance of addressing both structural and psychosocial syndemic problems.

Syndemic Theory and Its Use in Developing Health Interventions and Programming: A Scoping Review

PURPOSE OF REVIEW

The central tenet of syndemics theory is that disease interactions are driven by social factors, and that these factors have to be understood in order to reduce the health burdens of local populations. Without an understanding of the theory and how it is being put into practice, there is a strong possibility of losing the potential for syndemic theory to positively impact change at community and individual level.

METHODS

Following an initial database search that produced 921 articles, we developed a multi-stage scoping review process identifying invention studies that employ syndemic theory. Inclusion was defined as the presence of healthcare interventions examining multiple social-biological outcomes, refering to a specific (local) at risk population, developing or attempting to develop interventions impacting upon multiple health and/or social targets, and explicit employment of syndemic theory in developing the intervention.

RESULTS

A total of 45 articles contained a substantial engagement with syndemic theory and an original healthcare intervention. However, only eleven studies out of all 921 articles met the inclusion criteria.

DISCUSSION/CONCLUSION

It is strongly suggested that when employing syndemic theory researchers focus close attention to demonstrating disease interactions, providing evidence of the social drivers of these disease interactions, and constructing interventions grounded in these analytical findings. We conclude that although frequently referred to, syndemic theory is rarely employed in its entirety and recommend that interventions be developed using a more thorough grounding in this important and powerful theory.

Unlike other medical conditions, type 2 diabetes is a risk factor for new-onset major depression after COVID-19

OBJECTIVE

It is unclear whether pre-COVID medical conditions are risk factors for post-COVID major depressive episode (MDE). We aimed to determine which pre-COVID medical conditions are risk factors for post-COVID MDE after a hospitalization for COVID-19.

METHODS

We conducted a nested retrospective case-cohort study within a cohort of 650 patients evaluated six months after hospitalization for COVID-19 at Bicêtre hospital, France. Nine medical conditions present before COVID-19 (High blood pressure, obesity, type 2 diabetes, cardiac, respiratory and renal disease, immune deficiency, neoplasia and liver disease) were extracted from medical records. MDE was assessed using the Structured Clinical Interview for DSM-5 Disorders-Clinician Version (SCID-5-CV). Bivariate and multivariable analyses were performed to determine which pre-COVID medical conditions are independent risk factors for post-COVID new-onset MDE.

RESULTS

Patients mean age was 62.8 (15.8), 258 (39.7 %) were women; 301 (46.3 %) had high blood pressure, 205 (32.4 %) had obesity, and 186 (28.6 %) had type 2 diabetes. Thirty-six (5.5 %) patients were diagnosed with a new-onset MDE. In contrast to other medical conditions, type 2 diabetes was significantly associated with new-onset MDE (OR = 2.51 [1.19-5.29]).

CONCLUSION

Unlike other pre-COVID medical conditions, type 2 diabetes is a risk factor for post-COVID MDE. Patients with type 2 diabetes should be screened for MDE after a hospitalization for COVID-19.

Associations Among Reduced Income, Unhealthy Habits, the Prevalence of Non-Communicable Diseases, and Multimorbidity in Middle-Aged and Older US Adults: A Cross-Sectional Study

INTRODUCTION

Evidence supports the relationships between socioeconomic status and access to health care, incidence of pathologies, and lifestyle.

OBJECTIVE

The aim of this research was to investigate whether there are associations between having a household income below the poverty line, and participation in unhealthy lifestyle habits, the prevalence of non-communicable diseases, and the number of comorbidities in US middle-aged and older adults.

METHODS

This cross-sectional study is based on the NHANES 2011-2020. A total of 10,788 US middle-aged and older adults (5653 males and 5135 females) participated in this research. Associations were studied through the Chi-squared test, and odds ratios were calculated using a binary logistic regression model.

RESULTS

There were associations between a household income below the poverty line and physical inactivity, unhealthy diet, and being or having been an alcoholic. Associations were found between this adverse economic situation and having hypertension, diabetes, liver disease, kidney problems, arthritis, congestive heart failure, angina pectoris, heart attack, stroke, and also with having two or more, three or more, four or more, and five or more comorbidities. Increased odds of being involved in these unhealthy habits and of suffering these diseases and multimorbidity were found for those with a family income below the poverty threshold.

CONCLUSIONS

The existence of associations between having a family income under the poverty threshold and having unhealthy habits, suffering non-communicable diseases, and having multimorbidity is confirmed in US middle-aged and older adults. Increased odds for various non-communicable diseases, multimorbidity, and for being involved in these unhealthy habits were found for this low-income group. These findings should serve to draw the attention of policy makers to the increased health vulnerability of the adult population below the poverty line in the US.

Depression in Cardiac Patients Is a Major Cardiovascular Event Risk Factor: A 12-Month Observational Study

Background: Depression is a known factor in poor cardiovascular outcomes but is often underassessed in cardiac units. This study evaluates the impact of depression on cardiovascular outcomes in patients undergoing cardiac interventions. Methods: The study included 133 patients who underwent uncomplicated procedures for degenerative aortic valve stenosis (n = 40), acute coronary syndrome (n = 29), or chronic coronary artery disease (n = 64). Depression was assessed using the Beck Depression Inventory (BDI) and Hamilton Depression Rating Scale (HAM-D). The primary endpoint was a major adverse cardiac and cerebrovascular event (MACCE). Patients were followed up for 12 months. Cox proportional hazards analysis was used to identify MACCE risk factors. Results: Depression was more frequently screened by HAM-D than BDI (42.9% vs. 30.8%, p < 0.001). During follow-up, 26 (19.5%) MACCEs occurred. In univariate analysis, risk factors included BDI score ≥ 11, HAM-D score ≥ 8, diabetes on insulin, anticoagulant use, atrial fibrillation, and serum creatinine level ≥ 130 µmol/L. Depression in the BDI increased the risk of the MACCE 3.6-fold (95%CI: 1.64-8.0, p = 0.001), whereas in the HAM-D, it increased the risk 4.9-fold (95%CI: 1.97-12.24, p < 0.001). Multivariate analysis showed HAM-D score ≥ 8 as the strongest predictor of MACCE (HR: 3.08, 95%CI: 1.18-8.08). Conclusions: Depression is a common finding in cardiovascular patients, and it is a strong risk factor for one-year cardiovascular mortality and adverse event risk. Therefore, we believe that common guidelines should be elaborated between relevant psychiatry and cardiology scientific societies.

Testing a syndemics perspective on the effects of multiple adversities on depression and anxiety symptoms in a representative population sample

PURPOSE

Considerable empirical evidence indicates that stressful life experiences may have a negative impact on mental health. However, it is unclear how multiple adverse experiences may intersect to influence symptoms of depression and anxiety. Using a syndemics approach to identify potential synergistic effects between major stressors, we aimed to quantify the roles of multiple recent adverse life experiences on depression and anxiety symptoms.

METHODS

A population-representative sample of 1090 Australian adults (53% women, Mage 47 years) completed a cross-sectional survey in 2022 that assessed mental health and retrospective reports of nine specific stressful life experiences in the past year.

RESULTS

The most common adverse life experiences in the past year were financial problems (64%), loneliness (63%), or a major health problem (51%). In multivariate logistic regression analyses, financial problems, personal health problems, health problems in a close contact, relationship problems and loneliness were significantly associated with both depression and anxiety symptoms (p < 0.05). There was just one synergistic interaction and one buffering interaction of combined adversities on anxiety, and no synergistic interactions of adverse experiences on depression. The perceived impact of combined adversities was associated with both depression (b = 0.59, p < 0.001) and anxiety (b = 0.48, p < 0.001).

CONCLUSION

Adversity was strongly associated with depression and anxiety. Inconsistent with a syndemics framework, there were very few synergistic relationships between different types of adversities, suggesting that different adverse experiences may independently influence mental health. The findings indicate important opportunities for early intervention to prevent depression and anxiety during difficult times.

Embodiment of structural vulnerability: illness experiences among Somali refugee women in urban displacement

OBJECTIVES

Forced migration and its subsequent sequelae have caused refugees to face significant adversities throughout the displacement process, making them susceptible to significant health issues. Refugees displaced in Africa are a group especially vulnerable to poor health outcomes, experiencing a documented decline in overall physical and mental health status and rise in mortality from non-communicable diseases (NCDs). Despite the heightened health risks experienced by Somali refugees, particularly women, research into their complex illness experiences and co-/multimorbid health conditions is scarce, leaving a gap in our understanding of the multifaceted health challenges of this population.

DESIGN

Using structural vulnerability theory, this study explores how the broader host context shapes illness experiences for Somali refugee women in Kenya. Specifically, we describe the factors associated with illness experiences of urban Somali refugee women and how this compares with women with other similarly situated identities, such as Somali Kenyan women, other/non-Somali refugees, and Kenyan women. In-depth interviews were conducted with 43 women in Eastleigh, Kenya.

RESULTS

Using hybrid thematic analysis, the emergent themes were grouped into three distinct domains: (1) multimorbid, complex illness experiences, (2) embodiment of structural vulnerability, and (3) distinct/shared vulnerability among refugee/non-refugee women. Results suggest that illness experiences of displaced refugee women are inextricably linked to traumatic experiences before displacement, as well as the experiences of transmigration stressors and the hostile socio-legal dynamics encountered post-displacement.

CONCLUSIONS

Our findings also have implications for the need to consider intersectional identities when examining for differential exposure to structural risks and the susceptibility to poor health experiences as well as supports the need for urgent change and improvement in systems of social protection and basic care for refugees experiencing prolonged displacement.

Opportunities and challenges in utilizing community assets to extend chronic care management in podoconiosis endemic areas: Evidence from Northwestern Ethiopia

Community-based chronic care intervention is important in the control and prevention of lifelong conditions such as podoconiosis and similar 'intensive disease management' neglected tropical diseases (NTDs). Despite a call for such interventions, few efforts have been made to identify opportunities and challenges related to their implementation. Employing a qualitative approach, this study explored the possibility of engaging community actors, physical places and networks to promote chronic care management in rural Ethiopia. We gathered data from affected individuals, community members, local leaders, health professionals and community health workers between April and May 2022. The study revealed that affected individuals, family members, religious leaders, traditional leaders, and health professionals have the potential to extend chronic care management in rural areas. Houses, churches, schools, and healthcare facilities are suitable venues at which to perform interventions. Strong community solidarity and political will are vital to chronic care interventions, while lack of understanding about chronic conditions, financial constraints, and limited resources at healthcare facilities could pose challenges. Using community assets has great promise for expanding chronic care management with minimal costs and efforts in under resourced areas. Achieving this will require a successful plan to coordinate the collaboration among the agents and settings.

Rethinking Scale-Up of Rehabilitation for Chronic Disease in Low-Resource Settings: Embracing Complexity for Contextual Impact

As the burden of chronic disease and multiple long-term conditions is increasing globally, disproportionally affecting those in low-resourced settings, there is an increasing call to action to scale effective models of care that can assist in mitigating the impact of chronic disease on functioning, activity, societal participation, and health-related quality of life. The aim of this paper is to unpack the contextual factors that have been implicitly and explicitly voiced by researchers reporting on rehabilitation interventions used to manage chronic disease in low-resourced settings. We systematically engaged the literature and applied a reflexive qualitative and systems thinking lens to unpack the contextual factors and their interplay. A total of 40 different contextual factors were derived through an iterative analysis of 144 eligible articles. The identified factors could be packaged into nine system elements or subsystems relevant to the scale-up of rehabilitation for people with chronic disease. The complexity identified encourages a focus on innovative and intersectoral approaches to address the rehabilitation needs in low-resourced settings.

Prevalence of depressive symptoms among young adults in Brazil: Results of the 2013 and 2019 editions of the National Health Survey

OBJECTIVE

To estimate the prevalence of depressive symptoms in the population aged 18 to 24, according to socioeconomic and demographic aspects in Brazil, comparing its evolution between 2013 and 2019.

METHODS

Cross-sectional study carried out with secondary data obtained from National Health Survey 2013 and 2019. It were included 7,823 young adulthood (aged 18 to 24) from 2013 and 8,047 from 2019. The instrument used to assess depression was the Patient Health Questionnaire-9 (PHQ-9). All estimates included population weights and complex sampling.

RESULTS

The prevalence of depression almost doubled: 10.9% (95%CI 9.6-12.2) in 2019, compared to 5.6% (95%CI 4.8-6.4) in 2013, an absolute difference of 5.3% (4.5-6.0) greater. Women were the most affected in both surveys, with an increase between 2013 (8.3%; 95%CI 6.9-9.6) and 2019 (15.6%; 95%CI 13.5-17.6) higher than that of men (2013: 2.9%; 95%CI 2.0-3.8 and 2019: 6.2%; 95%CI 4.7-7.7). In both sexes, the pattern of increase was greater for the groups aged 18 to 20, not participating in religious activities, who were at the lowest levels of education and income, who lived with two or three or more people, who lived in the Northeast, Southeast, capitals and metropolitan areas of the country.

CONCLUSION

There was a significant increase in the prevalence of depressive symptoms over the six years between the two surveys. However, this increase did not occur homogeneously among the characteristics analyzed, indicating population groups and locations in Brazil where the presence of these symptoms increased most in the period.

A comparative systematic review of risk factors, prevalence, and challenges contributing to non-communicable diseases in South Asia, Africa, and Caribbeans

BACKGROUND

Non-communicable diseases (NCDs) are a global epidemic challenging global public health authorities while imposing a heavy burden on healthcare systems and economies.

AIM

To explore and compare the prevalence of NCDs in South Asia, the Caribbean, and non-sub-Saharan Africa, aiming to identify both commonalities and differences contributing to the NCD epidemic in these areas while investigating potential recommendations addressing the NCD epidemic.

METHOD

A comprehensive search of relevant literature was carried out to identify and appraise published articles systematically using the Cochrane Library, Ovid, Google Scholar, PubMed, Science Direct, and Web of Science search engines between 2010 and 2023. A total of 50 articles fell within the inclusion criteria.

RESULTS

Numerous geographical variables, such as lifestyle factors, socio-economic issues, social awareness, and the calibre of the local healthcare system, influence both the prevalence and treatment of NCDs. The NCDs contributors in the Caribbean include physical inactivity, poor fruit and vegetable intake, a sedentary lifestyle, and smoking, among others. While for South Asia, these were: insufficient societal awareness of NCDs, poverty, urbanization, industrialization, and inadequate regulation implementation in South Asia. Malnutrition, inactivity, alcohol misuse, lack of medical care, and low budgets are responsible for increasing NCD cases in Africa.

CONCLUSION

Premature mortality from NCDs can be avoided using efficient treatments that reduce risk factor exposure for individuals and populations. Proper planning, implementation, monitoring, training, and research on risk factors and challenges of NCDs would significantly combat the situation in these regions.

Construction of a Theoretical Model of Chronic Disease Self-Management: Self-Management Within a Syndemic

The purpose of this article is to describe a model of chronic disease self-management that incorporates the complexity of social and environmental interactions experienced by people who self-manage chronic conditions. This study combines quantitative data from a large national research cohort and qualitative interviews to test and refine a self-management model. The self-management within a syndemic model depicts the contextual, psychological, and social factors that predict self-management behaviors and clinical and long-term outcomes.

Understanding the Relationship between Environmental Factors and Mental Health Status among Type 2 Diabetes Mellitus Patients: A Scoping Review

Background

Type 2 diabetes mellitus (T2DM) is associated with a wide range of health outcomes, including an increased risk of depression and anxiety and a decline in quality of life. Even though the significance of biopsychological factors in the mental health status of T2DM patients has been discussed in other studies, the role of environmental factors has been lacking. Therefore, this review aimed to identify the relationship between environmental factors and mental health status among T2DM patients.

Methods

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for scoping reviews was utilized in this study. Using predetermined keywords, a systematic search was conducted on three electronic databases from 2005 to 2023, namely, Web of Science, Scopus, and PubMed. Articles written in English, and studies focusing on the research question are among the inclusion criteria. Ten articles were extracted that were relevant to the research question.

Results

Poor socioeconomic status, urban areas, the influence of neighborhood, greenness, and air pollution had associations with mental health status among T2DM patients.

Conclusion

The possible implications of these factors for mental health demand further research and policy consideration.

Social determinants of inflammatory markers linking depression and type 2 diabetes among women: A scoping review

OBJECTIVE

Inflammation is implicated in the pathophysiology of depression and type 2 diabetes (T2D) and is linked to social determinants of health (SDoH) associated with socioeconomic disadvantage. The objective of this review is to identify and map the range of SDoHs associated with inflammation in depression, T2D, or their co-occurrence among women.

METHODS

PubMed, CINAHL, PsychINFO, and Web of Science were searched March-July 2023 to identify studies where 1) an SDoH was a predictor or independent variable, 2) depression or T2D was a clinical focus, 3) inflammatory markers were collected, and 4) analysis was specific to women. We used the National Institute on Minority Health and Health Disparities research framework to guide searching SDoHs, organize findings, and identify gaps.

RESULTS

Of the 1135 studies retrieved, 46 met criteria. Within the reviewed studies, the most used inflammatory measures were C-reactive protein, interleukin-6, and tumor necrosis factor-α, and the most studied SDoHs were early life stress and socioeconomic status. Individual and interpersonal-level variables comprised the bulk of SDoHs in the included studies, while few to no studies examined built environment (n = 6) or health system level (n = 0) factors. Disadvantageous SDoHs were associated with higher levels of inflammation across the included studies.

CONCLUSION

The scope and intersection of depression and T2D represent a syndemic that contributes to and results from socioeconomic inequities and disproportionately affects women. Simultaneous inclusion of social and inflammatory measures, particularly understudied SDoHs, is needed to clarify potent targets aimed at advancing health and equity.

'The Lost Peace': Evidencing the Syndemic Relationship between Neglected Tropical Diseases and Mental Distress in Liberia

Neglected Tropical Diseases (NTDs) are a group of chronic infectious diseases of poverty affecting over one billion people globally. Intersections of NTDs, disability, and mental ill-health are increasingly evidenced but are rarely studied from a mixed-methods perspective. Here, we advance syndemic understandings by further assessing and contextualising the syndemic relationship between NTDs (particularly their associated disability) and mental distress in Liberia. Participatory qualitative methods, including body mapping (56 participants), social mapping (28 participants), and in-depth interviews (12) provided space for persons affected by NTDs to narrate their experiences. Simultaneously, 201 surveys explored experiences of common mental health conditions among persons affected by skin NTDs. An intersectionality approach was applied within the analysis for both qualitative and quantitative methods informed by Meyer's minority stress model, adapted for NTDs. Qualitative data was analysed thematically and gender-disaggregated, univariable and multivariable analyses were applied to survey data for the outcome measures depression (PHQ-9) and anxiety (GAD-7). Disability was associated with higher levels of depression and anxiety (p < 0.001). An interaction between disability and being a women increased incidence risk ratio of depression (p < 0.001). In alignment with qualitative findings, persons affected experienced additional generalised (financial concerns), external (experience of stigma) and internal (experience of pain and physical symptoms) minority stressors, to varying degrees, which contributed towards their mental distress, and mental health conditions. These findings were used to co-develop a syndemic-informed person-centred health system response to address the suffering associated with NTDs and mental distress, including a focus on strengthening relationships between formal and informal community health actors and the broader health system.

Bringing Generalists to Global Health: a Missed Opportunity and Call to Action

The credo of the generalist physician has always been the promotion of health for all, in every aspect: not just multiple vulnerable organ systems, but multiple social, cultural, and political factors that contribute to poor health and exacerbate health inequity. In recent years, the field of global health has also adopted this same mission: working across both national and clinical specialty borders to improve health for all and end health disparities worldwide. Yet within the Society for General Internal Medicine, and among American generalists, engagement in global health, both within and outside the USA, remains uncommon. We see this gap as an opportunity, because in fact generalists in America already have the skills and experience that global health badly needs. SGIM could promote generalists to global health's vanguard, with three core steps. First, we generalists must continue to integrate health for the vulnerable into our domestic work, generating care models applicable in low-resource settings around the globe. Conversely, we must also engage with and implement international ideas and solutions for universal access to primary care for vulnerable patients in the USA. And lastly, we must build platforms to connect ourselves with colleagues worldwide to exchange these learnings.

Sex differences in houselessness, injection drug use, and mental health conditions among people newly diagnosed with HIV in Manitoba, Canada from 2018 to 2021: a retrospective cohort study

Background

Manitoba saw the highest number of new HIV diagnoses in the province's history in 2021 and is the only Canadian province not meeting any of the previous UNAIDS 90-90-90 targets. Our goal was to describe sex differences and syndemic conditions within an incident HIV cohort in Manitoba, and the HIV treatment initiation and undetectable viral load outcomes.

Methods

This was a retrospective cohort study of all people 18 years and older newly diagnosed with HIV in Manitoba, Canada between January 1st, 2018 and December 31st, 2021. Data was collected as follows: before HIV diagnosis: chlamydia, gonorrhoea, syphilis, and/or hepatitis C antibodies. At the time of HIV diagnosis: age, sex, gender, race/ethnicity, sexual orientation. During follow-up: CD4 counts, viral load, HIV treatment, hospitalizations, and number of visits to HIV care. Main exposures evaluated: methamphetamine use, injection drug use, houselessness, and mental health conditions. Outcomes: started antiretroviral treatment and achieved an undetectable viral load. A descriptive statistical analysis was used.

Findings

There were 404 new HIV diagnoses in Manitoba from 2018 to 2021; 44.8% were female, 55.2% male; 76.% self-identified as Indigenous, 13.4% white/European, 4.7% African/black; 86.6% cis-gender; 60.9% heterosexual, 13.4% gay, bisexual and men who have sex with men, and 1.7% lesbian. Injection drug use was reported by 71.8% and 43.5% of females and males respectively. Methamphetamine was the most frequently injected drug (62.4%). Amongst females, 81.8% experienced at least one of the following: houselessness (43.1%), mental health comorbidities (46.4%), and injection drug use (71.8%). Only 64.9% of all individuals had an undetectable viral load (61.1% females and 67.9% males), 56.5% among people experiencing houselessness, 59% among young people (≤29 years), and 60.1% among people who inject drugs.

Interpretation

People newly diagnosed with HIV in Manitoba are disproportionately experiencing houselessness, mental illness, and injection drug use (mostly methamphetamine). This pattern is more pronounced for female individuals. These findings highlight the need for syndemic and gender-specific approaches, simultaneously addressing social and health conditions, to treat HIV.

Funding

This work was supported by the Canadian Institutes of Health Research, The Manitoba Medical Service Foundation, The James Farley Memorial Fund and the Canada Research Chairs Program.

Transcutaneous auricular vagus nerve stimulation as a novel therapy connecting the central and peripheral systems: a review

Currently, clinical practice and scientific research mostly revolve around a single disease or system, but the single disease-oriented diagnostic and therapeutic paradigm needs to be revised. This review describes how transcutaneous auricular vagus nerve stimulation (taVNS), a novel non-invasive neuromodulation approach, connects the central and peripheral systems of the body. Through stimulation of the widely distributed vagus nerve from the head to the abdominal cavity, this therapy can improve and treat central system disorders, peripheral system disorders, and central-peripheral comorbidities caused by autonomic dysfunction. In the past, research on taVNS has focused on the treatment of central system disorders by modulating this brain nerve. As the vagus nerve innervates the heart, lungs, liver, pancreas, gastrointestinal tract, spleen and other peripheral organs, taVNS could have an overall modulatory effect on the region of the body where the vagus nerve is widespread. Based on this physiological basis, the authors summarize the existing evidence of the taVNS ability to regulate cardiac function, adiposity, glucose levels, gastrointestinal function, and immune function, among others, to treat peripheral system diseases, and complex diseases with central and peripheral comorbidities. This review shows the successful examples and research progress of taVNS using peripheral neuromodulation mechanisms from more perspectives, demonstrating the expanded scope and value of taVNS to provide new ideas and approaches for holistic therapy from both central and peripheral perspectives.

Addressing the Syndemic Relationship between Lymphatic Filariasis and Mental Distress in Malawi: The Potential of Enhanced Self-Care

Lymphatic filariasis (LF) causes disfiguring and disabling lymphoedema, which can lead to mental distress and requires life-long self-care treatment. This study applies syndemic theory to understand the biosocial relationship between LF and mental distress in Malawi. Using in-depth qualitative methods, we critically evaluate experiences of mental distress and LF through 21 life-history interviews, to narrate experiences from the perspective of persons affected by LF, and to understand how enhanced self-care (ESC) for lymphoedema management disrupts the syndemic relationship. Complementary key informant interviews with Ministry of Health LF programme staff were conducted to further understand intervention and health system delivery. All interviews were recorded, transcribed, and translated, and then subject to thematic analysis. Our findings suggest that for persons affected by LF in Malawi, before being trained in ESC, absent referral pathways, inequalities in healthcare provision or available treatment, and limited knowledge of the condition (LF) drove the syndemic of LF and mental distress. Distress was often exacerbated by stigma and social exclusion, and shaped by intersections of gender, generation, poverty, and extreme climate conditions. We argue that addressing the syndemic suffering associated with LF and mental distress through interventions which center the needs of persons affected is critical in effective and equitable LF care delivery.

Interdisciplinary perspectives on multimorbidity in Africa: Developing an expanded conceptual model

Multimorbidity is an emerging challenge for health systems globally. It is commonly defined as the co-occurrence of two or more chronic conditions in one person, but its meaning remains a lively area of academic debate, and the utility of the concept beyond high-income settings is uncertain. This article presents the findings from an interdisciplinary research initiative that drew together 60 academic and applied partners working in 10 African countries to answer the questions: how useful is the concept of multimorbidity within Africa? Can the concept be adapted to context to optimise its transformative potentials? During a three-day concept-building workshop, we investigated how the definition of multimorbidity was understood across diverse disciplinary and regional perspectives, evaluated the utility and limitations of existing concepts and definitions, and considered how to build a more context-sensitive, cross-cutting description of multimorbidity. This iterative process was guided by the principles of grounded theory and involved focus- and whole-group discussions during the workshop, thematic coding of workshop discussions, and further post-workshop development and refinement. Three thematic domains emerged from workshop discussions: the current focus of multimorbidity on constituent diseases; the potential for revised concepts to centre the priorities, needs, and social context of people living with multimorbidity (PLWMM); and the need for revised concepts to respond to varied conceptual priorities amongst stakeholders. These themes fed into the development of an expanded conceptual model that centres the catastrophic impacts multimorbidity can have for PLWMM, families and support structures, service providers, and health systems.

Temporal Pattern and Spatial Distribution of Tuberculosis Prevalence Associated with Multimorbidity in Brazil

BACKGROUND

Four main chronic conditions may be involved in the tuberculosis pathogenic process and/or clinical evolution: HIV/AIDS, diabetes mellitus, mental illness, and Chronic Obstructive Pulmonary Disease. This study aimed to determine the spatiotemporal pattern of tuberculosis (TB) associated with multimorbidity in Brazil.

METHODS

Ecological study use data from the Notifiable Diseases Information System (SINAN), collected from the electronic portal of the Department of Informatics of the SUS (DATASUS). These data included TB cases that were reported between 2007 and 2021 and were associated with two or more chronic clinical health conditions (multimorbidity).

RESULTS

A total of 7,795 cases of TB associated with multimorbidity were recorded, with an average growth trend of 4.6% per year (95% Confidence Interval (CI): 3.3-5.9; p<0.001) and higher growth in the first temporal segment (2007 to 2011) (8.9%; 95%CI: 4.2-13.9; p=0.002). The spatial analysis, after Bayesian smoothing, highlighted the main municipalities states of the study, namely: São Paulo (19.8%; n = 297), Porto Alegre (23.6%; n = 354), and Rio de Janeiro (44.8%; n = 672). The proportion of extremely poor (β=-0.002), the bolsa família program (β=0.002), the average per-person income (β=0.001), and the percentage of the population living in households with a density of more than 2 people per bedroom (β=0.001) were related to chronic health conditions.

CONCLUSIONS

These findings will stimulate public action to manage this situation. However, as this is still a recent topic in the literature, we encourage the development of studies on the synergistic characteristics of TB and other clinical conditions.

Examining associations between mental health and Chronic Non-Communicable Diseases (C-NCDs) among older adults in Wakiso, Uganda

BACKGROUND

Globally, the prevalence of chronic non-communicable diseases (C-NCDs) and occurrence of multi-morbidity specifically, has been increasing and will continue to rise as life expectancy increases. The burden of mental health disorders has also been rising globally. In sub-Saharan Africa (SSA), literature on these health issues, which are interrelated, is scarce. This study assesses the prevalence of C-NCDs, and depressive and anxiety symptomology and examines the relationship between these issues among a sample of older adults in Uganda.

METHODS

Between 2021-2022, 604 consenting adults aged 35 years and older were surveyed on a broad range of health issues for the ongoing AMBSO Population Health Surveillance (APHS) cohort study in Wakiso district. Descriptive analyses were performed to characterize the burden of C-NCDs (e.g. diabetes, hypertension), depression (PHQ-9 using a cutoff of <5 scores for minimal/no and 5+ for mild to severe symptomology) and anxiety (GAD-7 using a cutoff of 5+ scores for mild to severe symptomology). Bivariate analysis and multivariable logistic regression models were built using STATA software version 16.0 to examine associations between mental health disorders and having at least one C-NCD. Our exposures of interest were depressive and anxiety symptoms and our outcomes of interest was presence of C-NCDs.

RESULTS

Majority of participants were females (63.6%), median age was 46 (IQR: 39-54). Any C-NCDs prevalence was 18.7%, while 18.9% and 11.4%, had screening scores indicative of depressive and anxiety symptomology, respectively. Three percent (3.2%) had PHQ-9 scores indicative of moderate to severe depressive symptomology. In models adjusted for sociodemographic characteristics, there was 12% increased odds of suffering from C-NCDs for every unit increase in PHQ-9 score (AOR = 1.12, 95% CI: 1.10-1.20). Participants with any anxiety symptoms had 2.1 greater odds of suffering from C-NCD compared to those who did not have anxiety symptoms (AOR = 2.10, 95% CI: 1.21-3.70).

CONCLUSION

C-NCDs were prevalent in older adults, particularly among those experiencing mental health symptoms. Screening for C-NCDs and mental health disorders should be integrated into routine health care for older adults in the country. Early screening and identification of these health issues through primary health care could significantly reduce the public health burden attributable to mental health disorders and the incidence of multi-morbidity in Uganda.

Social determinants of health and long-term conditions in people of Black African and Black Caribbean ethnicity living with HIV in London: A qualitative study

BACKGROUND

People living with human immunodeficiency virus (HIV) are disproportionately impacted by socioeconomic deprivation and are at increased risk of developing other long-term conditions (LTCs). These illnesses require transformative action to tackle the adverse effects on their health. Data on lived experiences of LTCs among people living with HIV of Black African and Black Caribbean ethnicities are sparse, and how people with LTCs are impacted by social determinants of health (SDoH).

METHODS

Through a phenomenological study design this qualitative study, conducted in 2022, comprised four focus group discussions (FGDs) with 20 people of Black ethnicities living with HIV were purposively invited from a community organisation (CO) in London, including four semistructured interviews with CO staff. Following transcription, qualitative data were analysed thematically and measures to validate the findings were implemented.

RESULTS

The findings are presented in terms of the following four levels of SDoH: (1) individual determinants (such as the impact of SDoH on lifestyle modification and self-management); (2) interpersonal determinants (such as positive experiences of accessing healthcare for LTCs); (3) clinical determinants (such as care pathway barriers) and (4) systemic determinants (such as systemic barriers related to race/ethnicity).

CONCLUSIONS

It is necessary to provide ongoing and interactive education to community members who live with HIV, focusing on risks and management of LTCs. Additionally, individuals would benefit from support to navigate increasingly complex and fragmented health services. Health Service staff require cultural competence when caring for patients of Black African and Black Caribbean ethnicities with complex health and psychosocial needs.

PATIENT OR PUBLIC CONTRIBUTION

The research team collaborated with an HIV CO in South London from the very start of the project to agree the study design and learn about the realities of their daily lived experiences. Community collaborators helped to develop the semistructured interview and FGD topic guides, and were directly involved in the data gathering, analysis and validation.

Transcutaneous vagus nerve stimulation modulates depression-like phenotype induced by high-fat diet via P2X7R/NLRP3/IL-1β in the prefrontal cortex

BACKGROUND

Depression is a common psychiatric disorder in diabetic patients. Depressive mood associated with obesity/metabolic disorders is related to the inflammatory response caused by long-term consumption of high-fat diets, but its molecular mechanism is unclear. In this study, we investigated whether the antidepressant effect of transcutaneous auricular vagus nerve stimulation (taVNS) in high-fat diet rats works through the P2X7R/NLRP3/IL-1β pathway.

METHODS

We first used 16S rRNA gene sequencing analysis and LC-MS metabolomics assays in Zucker diabetic fatty (ZDF) rats with long-term high-fat diet (Purina #5008) induced significant depression-like behaviors. Next, the forced swimming test (FST) and open field test (OFT) were measured to evaluate the antidepressive effect of taVNS. Immunofluorescence and western blotting (WB) were used to measure the microglia state and the expression of P2X7R, NLRP3, and IL-1β in PFC.

RESULTS

Purina#5008 diet induced significant depression-like behaviors in ZDF rats and was closely related to purine and inflammatory metabolites. Consecutive taVNS increased plasma insulin concentration, reduced glycated hemoglobin and glucagon content in ZDF rats, significantly improved the depressive-like phenotype in ZDF rats through reducing the microglia activity, and increased the expression of P2X7R, NLRP3, and IL-1β in the prefrontal cortex (PFC).

CONCLUSION

The P2X7R/NLRP3/IL-1β signaling pathway may play an important role in the antidepressant-like behavior of taVNS, which provides a promising mechanism for taVNS clinical treatment of diabetes combined with depression.

Childhood Adversity Determines the Syndemic Effects of Violence, Substance Misuse, and Sexual Behavior on Psychotic Spectrum Disorder Among Men

BACKGROUND AND HYPOTHESIS

Childhood adversity (CA) increases the risk for several adult psychiatric conditions. It is unclear why some exposed individuals experience psychotic symptoms and others do not. We investigated whether a syndemic explained a psychotic outcome determined by CA.

STUDY DESIGN

We used self-reported cross-sectional data from 7461 British men surveyed in different population subgroups. Latent class analysis (LCA) identified categorical psychopathological outcomes. LCs were tested by interaction analysis between syndemic factors derived from confirmatory factor analysis according to CA experiences. Pathway analysis using partial least squares path modeling.

RESULTS

A 4-class model with excellent fit identified an LC characterized by both psychotic and anxiety symptoms (class 4). A syndemic model of joint effects, adducing a 3-component latent variable of substance misuse (SM), high-risk sexual behavior (SH), violence and criminality (VC) showed synergy between components and explained the psychotic outcome (class 4). We found significant interactions between factor scores on the multiplicative scale, specific only to class 4 (psychosis), including SM × SH, SH × VC, and SM × VC (OR > 1, P < .05); and on the additive scale SM × SH (relative excess risk due to interaction >0, P < .05), but only for men who experienced CA.

CONCLUSION

Multiplicative synergistic interactions between SM, SH, and VC constituted a mechanism determining a psychotic outcome, but not for anxiety disorder, mixed anxiety disorder/depression, or depressive disorder. This was specific to men who had experienced CA along direct and syndemic pathways. Population interventions should target SM and VC in adulthood but prioritize primary prevention strategies for CA.

Intersectional stigma and the non-communicable disease syndemic in the context of HIV: protocol for a multisite, observational study in the USA

INTRODUCTION

The increasing burden of non-communicable diseases, such as hypertension, diabetes and dyslipidaemia, presents key challenges to achieving optimal HIV care outcomes among ageing people living with HIV. These diseases are often comorbid and are exacerbated by psychosocial and structural inequities. This interaction among multiple health conditions and social factors is referred to as a syndemic. In the USA, there are substantial disparities by social position (ie, racial, ethnic and socioeconomic status) in the prevalence and/or control of non-communicable diseases and HIV. Intersecting stigmas, such as racism, classism and homophobia, may drive these health disparities by contributing to healthcare avoidance and by contributing to a psychosocial syndemic (stress, depression, violence victimisation and substance use), reducing success along the HIV and non-communicable disease continua of care. Our hypothesis is that marginalised populations experience disparities in non-communicable disease incidence, prevalence and control, mediated by intersectional stigma and the psychosocial syndemic.

METHODS AND ANALYSIS

Collecting data over a 4 year period, we will recruit sexual minority men (planned n=1800) enrolled in the MACS/WIHS Combined Cohort Study, a long-standing mixed-serostatus observational cohort in the USA, to investigate the following specific aims: (1) assess relationships between social position, intersectional stigma and the psychosocial syndemic among middle-aged and ageing sexual minority men, (2) assess relationships between social position and non-communicable disease incidence and prevalence and (3) assess relationships between social position and HIV and non-communicable disease continua of care outcomes, mediated by intersectional stigma and the psychosocial syndemic. Analyses will be conducted using generalised structural equation models using a cross-lagged panel model design.

ETHICS AND DISSEMINATION

This protocol is approved as a single-IRB study (Advarra Institutional Review Board: Protocol 00068335). We will disseminate results via peer-reviewed academic journals, scientific conferences, a dedicated website, site community advisory boards and forums hosted at participating sites.

A novel electronic health record-based, machine-learning model to predict severe hypoglycemia leading to hospitalizations in older adults with diabetes: A territory-wide cohort and modeling study

BACKGROUND

Older adults with diabetes are at high risk of severe hypoglycemia (SH). Many machine-learning (ML) models predict short-term hypoglycemia are not specific for older adults and show poor precision-recall. We aimed to develop a multidimensional, electronic health record (EHR)-based ML model to predict one-year risk of SH requiring hospitalization in older adults with diabetes.

METHODS AND FINDINGS

We adopted a case-control design for a retrospective territory-wide cohort of 1,456,618 records from 364,863 unique older adults (age ≥65 years) with diabetes and at least 1 Hong Kong Hospital Authority attendance from 2013 to 2018. We used 258 predictors including demographics, admissions, diagnoses, medications, and routine laboratory tests in a one-year period to predict SH events requiring hospitalization in the following 12 months. The cohort was randomly split into training, testing, and internal validation sets in a 7:2:1 ratio. Six ML algorithms were evaluated including logistic-regression, random forest, gradient boost machine, deep neural network (DNN), XGBoost, and Rulefit. We tested our model in a temporal validation cohort in the Hong Kong Diabetes Register with predictors defined in 2018 and outcome events defined in 2019. Predictive performance was assessed using area under the receiver operating characteristic curve (AUROC), area under the precision-recall curve (AUPRC) statistics, and positive predictive value (PPV). We identified 11,128 SH events requiring hospitalization during the observation periods. The XGBoost model yielded the best performance (AUROC = 0.978 [95% CI 0.972 to 0.984]; AUPRC = 0.670 [95% CI 0.652 to 0.688]; PPV = 0.721 [95% CI 0.703 to 0.739]). This was superior to an 11-variable conventional logistic-regression model comprised of age, sex, history of SH, hypertension, blood glucose, kidney function measurements, and use of oral glucose-lowering drugs (GLDs) (AUROC = 0.906; AUPRC = 0.085; PPV = 0.468). Top impactful predictors included non-use of lipid-regulating drugs, in-patient admission, urgent emergency triage, insulin use, and history of SH. External validation in the HKDR cohort yielded AUROC of 0.856 [95% CI 0.838 to 0.873]. Main limitations of this study included limited transportability of the model and lack of geographically independent validation.

CONCLUSIONS

Our novel-ML model demonstrated good discrimination and high precision in predicting one-year risk of SH requiring hospitalization. This may be integrated into EHR decision support systems for preemptive intervention in older adults at highest risk.

The collaborative framework for the management of tuberculosis and type 2 diabetes syndemic in low- and middle-income countries: a rapid review

INTRODUCTION

Given the absence of international guidelines on the joint management and control of tuberculosis (TB) and type 2 diabetes mellitus (T2D), the World Health Organization (WHO) and the International Union Against Tuberculosis and Lung Disease (The Union) launched in 2011 a policy framework to address the growing syndemic burden of TB-T2D. This review aimed at mapping the available evidence on the implementation of the Union-WHO Framework, explicitly, or bi-directional TB-T2D health programs as an initiative for co-management in patients in low- and middle-income countries (LMIC).

METHODS

A rapid review was performed based on a systematic search in PubMed and Web of Science electronic databases for peer-reviewed articles on The Union-WHO Framework and bi-directional interventions of TB and T2D in LMIC. The search was restricted to English language articles and from 01/08/2011 to 20/05/2022.

RESULTS

A total of 24 articles from 16 LMIC met the inclusion criteria. Four described the implementation of The Union-WHO Framework and 20 on the bi-directional interventions of TB and T2D. Bi-directional activities were found valuable, feasible and effective following the Union-WHO recommendations. Limited knowledge and awareness on TB-T2D comorbidity was identified as one of the barriers to ensure a functional and effective integration of services.

CONCLUSIONS

This review revealed that it is valuable, feasible and effective to implement bi-directional TB and T2D activities (screening and management) according to the Union-WHO Framework recommendations, especially in countries that face TB-T2D syndemic. Additionally, it was apparent that gaps still exist in research aimed at providing evidence of costs to implement collaborative activities. There is need for TB and T2D services integration that should be done through the well-stablished TB programme. This integration of two vertical programmes, could ensure patient-centeredness, continuum of care and ultimately contribute for health systems strengthening.

FRAX predicts cardiovascular risk in women undergoing osteoporosis screening: the Manitoba bone mineral density registry

Osteoporosis and cardiovascular disease (CVD) are highly prevalent in older women, with increasing evidence for shared risk factors and pathogenesis. Although FRAX was developed for the assessment of fracture risk, we hypothesized that it might also provide information on CVD risk. To test the ability of the FRAX tool and FRAX-defined risk factors to predict incident CVD in women undergoing osteoporosis screening with DXA, we performed a retrospective prognostic cohort study which included women aged 50 yr or older with a baseline DXA scan in the Manitoba Bone Mineral Density Registry between March 31, 1999 and March 31, 2018. FRAX scores for major osteoporotic fracture (MOF) were calculated on all participants. Incident MOF and major adverse CV events (MACE; hospitalized acute myocardial infarction [AMI], hospitalized non-hemorrhagic cerebrovascular disease [CVA], or all-cause death) were ascertained from linkage to population-based healthcare data. The study population comprised 59 696 women (mean age 65.7 ± 9.4 yr). Over mean 8.7 yr of observation, 6021 (10.1%) had MOF, 12 277 women (20.6%) had MACE, 2274 (3.8%) had AMI, 2061 (3.5%) had CVA, and 10 253 (17.2%) died. MACE rates per 1000 person-years by FRAX risk categories low (10-yr predicted MOF <10%), moderate (10%-19.9%) and high (≥20%) were 13.5, 34.0, and 64.6, respectively. Although weaker than the association with incident MOF, increasing FRAX quintile was associated with increasing risk for MACE (all P-trend <.001), even after excluding prior CVD and adjusting for age. HR for MACE per SD increase in FRAX was 1.99 (95%CI, 1.96-2.02). All FRAX-defined risk factors (except parental hip fracture and lower BMI) were independently associated with higher non-death CV events. Although FRAX is intended for fracture risk prediction, it has predictive value for cardiovascular risk.

A community psychology for migrant justice: Critically examining border violence and resistance during the COVID-19 syndemic

This article explores the magnifying lenses of the COVID-19 syndemic to highlight how people racialized as migrants and refugees have been-and continue to be-disproportionally harmed. We use empirical evidence collected in our scholarly/activist work in Europe, Africa, South Asia, and the United States to examine migrant injustice as being produced by a combination of power structures and relations working to maintain colonial global orders and inequalities. This is what has been defined as "border imperialism." Our data, complemented by evidence from transnational solidarity groups, show that border imperialism has further intersected with the hygienic-sanitary logics of social control at play during the COVID-19 period. This intersection has resulted in increasingly coercive methods of restraining people on the move, as well as in increased-and new-forms of degradation of their lives, that is, an overall multiplication of border violences. At the same time, however, COVID-19 has provided a unique opportunity for grassroot solidarity initiatives and resistance led by people on the move to be amplified and extended. We conclude by emphasizing the need for community psychologists to take a more vigorous stance against oppressive border imperialist regimes and the related forms of violence they re/enact.

Neighborhood characteristics and HIV treatment outcomes: A scoping review

Recognizing challenges faced by people living with HIV is vital for improving their HIV treatment outcomes. While individual-level interventions play a crucial role, community factors can shape the impact of individual interventions on treatment outcomes. Understanding neighborhood characteristics' association with HIV treatment outcomes is crucial for optimizing effectiveness. This review aims to summarize the research scope on the association between neighborhood characteristics and HIV treatment outcomes. The databases PubMed, CINAHL (EBSCOhost), Embase (Elsevier), and PsychINFO (EBSCOhost) were searched from the start of each database to Nov 21, 2022. Screening was performed by three independent reviewers. Full-text publications of all study design meeting inclusion criteria were included in the review. There were no language or geographical limitations. Conference proceedings, abstract only, and opinion reports were excluded from the review. The search yielded 7,822 publications, 35 of which met the criteria for inclusion in the review. Studies assessed the relationship between neighborhood-level disadvantage (n = 24), composition and interaction (n = 17), social-economic status (n = 18), deprivation (n = 16), disorder (n = 8), and rural-urban status (n = 7) and HIV treatment outcomes. The relationship between all neighborhood characteristics and HIV treatment outcomes was not consistent across studies. Only 7 studies found deprivation had a negative association with HIV treatment outcomes; 6 found that areas with specific racial/ethnic densities were associated with poor HIV treatment outcomes, and 5 showed that disorder was associated with poor HIV treatment outcomes. Three studies showed that rural residence was associated with improved HIV treatment outcomes. There were inconsistent findings regarding the association between neighborhood characteristics and HIV treatment outcomes. While the impact of neighborhood characteristics on disease outcomes is highly recognized, there is a paucity of standardized definitions and metrics for community characteristics to support a robust assessment of this hypothesis. Comparative studies that define and assess how specific neighborhood indicators independently or jointly affect HIV treatment outcomes are highly needed.

Trends and disparities in non-communicable diseases in the Western Pacific region

The WHO Western Pacific region bears disproportionate deaths from non-communicable diseases (NCDs), with increased overall NCD proportional mortality over the past two decades. The disease burden of mental health increased, resulting from rapid ageing, enhanced stress, and the COVID-19 pandemic, but it was largely neglected. The highly diverse cultures, religions, political systems, socioeconomic contexts, lifestyles, and environmental factors probably have led to massive disparities across countries in NCD mortality, risk factors, and NCD management. Geographically, East Asia had the lowest NCD mortality whilst Pacific islands had the highest. Economic booms, ageing, nutrition transition, social stress, prevalent tobacco use, and fast-increasing obesity and hyperglycaemia are important drivers of NCDs. Men tended to have more adverse behavioural and metabolic risk factors. Rural residents are catching up with their urban counterparts in metabolic risk factors and conditions. Sustainable strategies tailored to NCD patterns are needed to fight the NCD epidemic and related disparities.

Preventing HIV Infection in Pregnant Women in Western Uganda Through a Comprehensive Antenatal Care-Based Intervention: An Implementation Study

We implemented and assessed a comprehensive, antenatal care (ANC)-embedded strategy to prevent HIV seroconversions during pregnancy in Uganda. HIV-negative first-time ANC clients were administered an HIV risk assessment tool and received individual risk counseling. Those attending ANC without partners obtained formal partner invitation letters. After three months, repeat HIV testing was carried out; non-attending women were reminded via phone. We analyzed uptake and acceptance, HIV incidence rate, and risk behavior engagement. Among 1081 participants, 116 (10.7%) reported risk behavior engagement at first visit; 148 (13.7%) were accompanied by partners. At the repeat visit (n = 848), 42 (5%, p < 0.001) reported risk behavior engagement; 248 (29.4%, p < 0.001) women came with partners. Seroconversion occurred in two women. Increased odds for risk behavior engagement were found in rural clients (aOR 3.96; 95% CI 1.53-10.26), women with positive or unknown partner HIV-status (2.86; 1.18-6.91), and women whose partners abused alcohol (2.68; 1.15-6.26). Overall, the assessed HIV prevention strategy for pregnant women seemed highly feasible and effective. Risk behavior during pregnancy was reduced by half and partner participation rates in ANC doubled. The observed HIV incidence rate was almost four times lower compared to a pre-intervention cohort in the same study setting.

Environmental inequalities and multimorbidity: Insights from the Southwest China Multi-Ethnic Cohort Study

Multimorbidity is an increasingly significant public health challenge worldwide. Although the association between environmental factors and the morbidity and mortality of individual chronic diseases is well-established, the relationship between environmental inequalities and multimorbidity, as well as the patterns of multimorbidity across different areas and ethnic groups, remains unclear. We first focus on analyzing the differences in environmental exposures and patterns of multimorbidity across diverse areas and ethnic groups. The results show that individuals of Han ethnicity residing in Chongqing and Sichuan are exposure to higher levels of air pollutants such as PM2.5, PM10, and NO2. Conversely, Tibetans in Tibet and Yi people in Yunnan face elevated concentrations of O3. Furthermore, the Dong, Miao, Buyi ethnicities in Guizhou and Bai in Yunnan have greater access to green spaces. The key multimorbidity patterns observed in Southwest China are related to metabolic abnormalities combined with digestive system diseases. However, significant differences in multimorbidity patterns exist among different regions and ethnic groups. Further utilizing the logistic regression model, the analysis demonstrates that increased exposure to environmental pollutants (PM2.5, PM10, NO2, O3) is significantly associated with higher odds ratios of multimorbidity. Conversely, a greater presence of green spaces (NDVI 250, NDVI 500, NDVI 1000) significantly reduces the risk of multimorbidity. This large-scale epidemiological study provides some evidence of a significant association between environmental inequalities and multimorbidity. By addressing these environmental inequalities and promoting healthy environments for all, we can work towards reducing the prevalence of multimorbidity and improving overall population health.

Modifiable lifestyle, mental health status and diabetic retinopathy in U.S. adults aged 18-64 years with diabetes: a population-based cross-sectional study from NHANES 1999-2018

BACKGROUND

The relationship between integrated lifestyles, mental status and their impact on overall well-being has attracted considerable attention. This study aimed to evaluate the association between lifestyle factors, depression and diabetic retinopathy (DR) in adults aged 18-64 years.

METHODS

A cohort of 3482 participants diagnosed with diabetes was drawn from the National Health and Nutrition Examination Survey (NHANES) spanning the years 1999-2018. DR was defined based on self-reported diabetic retinopathy diagnoses by professional physicians, relying on Diabetes Interview Questionnaires. Subgroup analysis was employed to assess lifestyle and psychological factors between participants with DR and those without, both overall and stratified by diabetic duration. Continuous variables were analyzed using the student's t test, while weighted Rao-Scott χ2 test were employed for categorical variables to compare characteristics among the groups.

RESULTS

Of the 3482 participants, 767 were diagnosed with diabetic retinopathy, yielding a weighted DR prevalence of 20.8%. Patients with DR exhibited a higher prevalence of heavy drinking, depression, sleep deprivation, and insufficient physical activity compared to those without DR. Furthermore, multivariable logistic regression analysis revealed that sleeping less than 5 h (OR = 3.18, 95%CI: 2.04-4.95, p < 0.001) and depression (OR = 1.35, 95%CI:1.06-1.64, p = 0.025) were associated with a higher risk of DR, while moderate drinking (OR = 0.49, 95%CI: 0.32-0.75, p = 0.001) and greater physical activity (OR = 0.64, 95%CI: 0.35-0.92, p = 0.044) were identified as protective factors.

CONCLUSIONS

Adults aged 18-64 years with DR exhibited a higher prevalence of lifestyle-related risk factors and poorer mental health. These findings underscore the need for concerted efforts to promote healthy lifestyles and positive emotional well-being in this population.

Correlation between time on target and glycated hemoglobin in people with diabetes mellitus: systematic review

to analyze the correlation between time on target and glycated hemoglobin in people living with diabetes mellitus and carrying out continuous blood glucose monitoring or self-monitoring of capillary blood glucose.

systematic review of etiology and risk based on JBI guidelines and reported according to Preferred Reporting Items for Systematic Reviews and Meta- Analyses, covering six databases and grey literature. The sample included 16 studies and methodological quality was assessed using JBI tools. Protocol registered in the Open Science Framework, available at https://doi.org/10.17605/OSF.IO/NKMZB.

time on target (70-180 mg/dl) showed a negative correlation with glycated hemoglobin, while time above target (>180 mg/dl) showed a positive correlation. Correlation coefficients ranged between -0.310 and -0.869 for time on target, and between 0.66 and 0.934 for time above target. A study was carried out on a population that performed self-monitoring.

there is a statistically significant correlation between time on target and time above target with glycated hemoglobin. The higher the proportion in the adequate glycemic range, the closer to or less than 7% the glycated hemoglobin will be. More studies are needed to evaluate this metric with data from self-monitoring of blood glucose.

Estimating the potential impact and diagnostic requirements for SARS-CoV-2 test-and-treat programs

Oral antivirals have the potential to reduce the public health burden of COVID-19. However, now that we have exited the emergency-phase of the COVID-19 pandemic, declining SARS-CoV-2 clinical testing rates (average testing rates = [Formula: see text]10 tests/100,000 people/day in low-and-middle income countries; <100 tests/100,000 people/day in high-income countries; September 2023) make the development of effective test-and-treat programs challenging. We used an agent-based model to investigate how testing rates and strategies affect the use and effectiveness of oral antiviral test-to-treat programs in four country archetypes of different income levels and demographies. We find that in the post-emergency-phase of the pandemic, in countries where low testing rates are driven by limited testing capacity, significant population-level impact of test-and-treat programs can only be achieved by both increasing testing rates and prioritizing individuals with greater risk of severe disease. However, for all countries, significant reductions in severe cases with antivirals are only possible if testing rates were substantially increased with high willingness of people to seek testing. Comparing the potential population-level reductions in severe disease outcomes of test-to-treat programs and vaccination shows that test-and-treat strategies are likely substantially more resource intensive requiring very high levels of testing (≫100 tests/100,000 people/day) and antiviral use suggesting that vaccination should be a higher priority.

Converging global health agendas and universal health coverage: financing whole-of-government action through UHC

UN member states have committed to universal health coverage (UHC) to ensure all individuals and communities receive the health services they need without suffering financial hardship. Although the pursuit of UHC should unify disparate global health challenges, it is too commonly seen as another standalone initiative with a singular focus on the health sector. Despite constituting the cornerstone of the health-related Sustainable Development Goals, UHC-related commitments, actions, and metrics do not engage with the major drivers and determinants of health, such as poverty, gender inequality, discriminatory laws and policies, environment, housing, education, sanitation, and employment. Given that all countries already face multiple competing health priorities, the global UHC agenda should be used to reconcile, rationalise, prioritise, and integrate investments and multisectoral actions that influence health. In this paper, we call for greater coordination and coherence using a UHC+ lens to suggest new approaches to funding that can extend beyond biomedical health services to include the cross-cutting determinants of health. The proposed intersectoral co-financing mechanisms aim to support the advancement of health for all, regardless of countries' income.

Synergistic Epidemic or Syndemic: An Emerging Pattern of Human Diseases

Synergistic epidemics refer to the phenomenon where the occurrence and interaction of multiple diseases or health conditions exacerbate their individual impact, leading to complex health challenges and increased vulnerability in populations. Syndemics are a complex, multilevel phenomenon. In a population with biological interactions, a syndemic is the accumulation of two or more concurrent or sequential epidemics, which significantly worsens the situation. Disease concentration, disease interaction, and their underlying social forces, such as poverty and social inequality, are the fundamental concepts. Extensive political, economic, and cultural factors have contributed to cluster epidemics of several infectious diseases, particularly HIV and tuberculosis. Concerning the SAVA (substance abuse, violence, AIDS) syndemic, this narrative review article explores the complex interactions between substance abuse, violence, and HIV/AIDS. Further, it describes in-depth interactions between the COVID-19 syndemic's health conditions, societal factors, biological factors, and global dynamics. The review also emphasizes how infectious and non-communicable diseases interact, emphasizing how having one condition can make the severity and outcomes of another worse. It investigates the causes of synergistic epidemics and the impact of environmental factors. Syndemics acknowledge that the presence of one condition can worsen the severity and progression of others and take into account the intricate relationships between diseases. We can create more efficient plans to enhance health outcomes, lessen disparities, and promote healthier communities by understanding the connections between disorders and the underlying social determinants. This narrative review provides insights into the emerging patterns of human diseases within synergistic epidemics.

COPD and multimorbidity: recognising and addressing a syndemic occurrence

Most patients with chronic obstructive pulmonary disease (COPD) have at least one additional, clinically relevant chronic disease. Those with the most severe airflow obstruction will die from respiratory failure, but most patients with COPD die from non-respiratory disorders, particularly cardiovascular diseases and cancer. As many chronic diseases have shared risk factors (eg, ageing, smoking, pollution, inactivity, and poverty), we argue that a shift from the current paradigm in which COPD is considered as a single disease with comorbidities, to one in which COPD is considered as part of a multimorbid state-with co-occurring diseases potentially sharing pathobiological mechanisms-is needed to advance disease prevention, diagnosis, and management. The term syndemics is used to describe the co-occurrence of diseases with shared mechanisms and risk factors, a novel concept that we propose helps to explain the clustering of certain morbidities in patients diagnosed with COPD. A syndemics approach to understanding COPD could have important clinical implications, in which the complex disease presentations in these patients are addressed through proactive diagnosis, assessment of severity, and integrated management of the COPD multimorbid state, with a patient-centred rather than a single-disease approach.

Food insecurity increases risk of depression and anxiety among women in Senegal living with diabetes and/or hypertension

Food insecurity affects close to half the population of Senegal, West Africa, a country simultaneously affected by the ongoing global diabetes pandemic. Diabetes and food insecurity are associated with adverse mental health, yet research exploring the relationship between chronic physical illness, food insecurity, and mental illness in Senegal is currently lacking. The objective of this study was to investigate the association between food insecurity and depression and anxiety, separately, in Senegalese women living with diabetes and hypertension. Food insecurity was measured using the Household Food Insecurity Access Scale. Occurrence of depression and anxiety symptoms was assessed using the Modified Hopkins Symptoms Checklist Survey (HSCL-25). A sensitivity analysis examining the relationship between food insecurity and depression and anxiety was performed by comparing two previously validated cutoff values (1.75 and 2.25) on the HSCL-25. Most participants (83%) had some level of food insecurity. More than 80% of the sample were depressed or anxious using 1.75 as the cutoff, while 42 and 60% were depressed or anxious, respectively, using 2.25 as the cutoff. Food insecurity increased relative risk for depression (RRR: 1.40, 95% CI: 1.05-1.31, 1.75 as cutoff; RRR: 1.06, 95% CI: 0.99-1.14, 2.25 as cutoff) and anxiety (RRR: 1.17, 95% CI: 1.05-1.31, 1.75 as cutoff; RRR: 1.11, 95% CI: 1.04-1.19, 2.25 as cutoff). These findings demonstrate that among populations suffering from diabetes and hypertension, food insecurity is a modifiable risk factor for depression and anxiety and a potential intervention target in this setting.