Population Studies Research Articles

Global stability and modeling with a non-singular kernel for fractional order heroin epidemic model: Insights from different population studies

There has been a worldwide epidemic of heroin that has affected people, families, societies, and cultures across the world. Now, the heroin epidemic has transitioned from heroin abuse to the overuse of synthetic narcotics, which are widely accessible and inexpensively produced. In this work, a novel mathematical approach is applied to investigate the dynamics of the heroin epidemic model and its harmful effect on society with different population data. A heroin model has been constructed with the importance of a non-singular kernel in the sense of a generalized Mittag-Leffler kernel. The well-possedness of the proposed model is proven via fixed-point theory. To examine the heroin model, two equilibrium states have been determined. These equilibrium states are proven to be locally and globally asymptotically stable. To analyze the behavior of heroin, a basic reproduction number and sensitivity analysis are used to determine the impact of different parameters mathematically as well as through simulations. To find the approximate solution, we implement the Toufik-Atangana numerical method at different fractional order values. The sensitivity of the heroin model is carried out, and 3-D graphs show the significance of the parameter involved in the model. Finally, the numerical outcomes are presented with different values of fractional parameters.

Conductive Hearing Loss Associates With Dementia, and Middle Ear Reconstruction Mitigates This Association: A Multinational Database Study.

To test the hypothesis that conductive hearing loss (CHL) is associated with dementia, and that middle ear reconstruction (MER) associates with improved outcomes for these measures in a multinational electronic health records database. Retrospective cohort study with propensity-score matching (PSM). TriNetX is a research database representing about 110 million patients from the United States, Taiwan, Brazil, and India. Subjects older than 50 years with no HL and any CHL (ICD-10: H90.0-2). Subjects of any age with and without any MER (CPT: 1010174). Odds ratios (ORs) and hazard ratios with 95% confidence intervals (95% CIs) for incident dementia (ICD-10: F01, F03, G30). Of 103,609 patients older than 50 years experiencing any CHL, 2.74% developed dementia compared with 1.22% of 38,216,019 patients with no HL (OR, 95% CI: 2.29, 2.20-2.37). Of patients experiencing CHL, there were 39,850 who received MER. The average age was 31.3 years, with 51% female patients. A total of 343,876 control patients with CHL were identified; 39,900 patients remained in each cohort after 1:1 PSM for HL- and dementia-related risk factors. Matched risk for developing dementia among MER recipients was 0.33% compared with 0.58% in controls (OR: 0.58, 0.46-0.72). CHL increases the odds for dementia, and MER improves the odds for incident dementia. This study represents the first population study on the topic of CHL, MER, and dementia.

Development and temporal validation of a clinical prediction model of transition to psychosis in individuals at ultra-high risk in the UHR 1000+ cohort.

The concept of ultra-high risk for psychosis (UHR) has been at the forefront of psychiatric research for several decades, with the ultimate goal of preventing the onset of psychotic disorder in high-risk individuals. Orygen (Melbourne, Australia) has led a range of observational and intervention studies in this clinical population. These datasets have now been integrated into the UHR 1000+ cohort, consisting of a sample of 1,245 UHR individuals with a follow-up period ranging from 1 to 16.7 years. This paper describes the cohort, presents a clinical prediction model of transition to psychosis in this cohort, and examines how predictive performance is affected by changes in UHR samples over time. We analyzed transition to psychosis using a Cox proportional hazards model. Clinical predictors for transition to psychosis were investigated in the entire cohort using multiple imputation and Rubin's rule. To assess performance drift over time, data from 1995-2016 were used for initial model fitting, and models were subsequently validated on data from 2017-2020. Over the follow-up period, 220 cases (17.7%) developed a psychotic disorder. Pooled hazard ratio (HR) estimates showed that the Comprehensive Assessment of At-Risk Mental States (CAARMS) Disorganized Speech subscale severity score (HR=1.12, 95% CI: 1.02-1.24, p=0.024), the CAARMS Unusual Thought Content subscale severity score (HR=1.13, 95% CI: 1.03-1.24, p=0.009), the Scale for the Assessment of Negative Symptoms (SANS) total score (HR=1.02, 95% CI: 1.00-1.03, p=0.022), the Social and Occupational Functioning Assessment Scale (SOFAS) score (HR=0.98, 95% CI: 0.97-1.00, p=0.036), and time between onset of symptoms and entry to UHR service (log transformed) (HR=1.10, 95% CI: 1.02-1.19, p=0.013) were predictive of transition to psychosis. UHR individuals who met the brief limited intermittent psychotic symptoms (BLIPS) criteria had a higher probability of transitioning to psychosis than those who met the attenuated psychotic symptoms (APS) criteria (HR=0.48, 95% CI: 0.32-0.73, p=0.001) and those who met the Trait risk criteria (a first-degree relative with a psychotic disorder or a schizotypal personality disorder plus a significant decrease in functioning during the previous year) (HR=0.43, 95% CI: 0.22-0.83, p=0.013). Models based on data from 1995-2016 displayed good calibration at initial model fitting, but showed a drift of 20.2-35.4% in calibration when validated on data from 2017-2020. Large-scale longitudinal data such as those from the UHR 1000+ cohort are required to develop accurate psychosis prediction models. It is critical to assess existing and future risk calculators for temporal drift, that may reduce their utility in clinical practice over time.

Prevalence of chronic urticaria: A study in the pediatric population of a general hospital.

Introduction. Chronic urticaria is an inflammatory skin condition characterized by the presence of evanescent wheals or angioedema that last for ≥ 6 weeks. Objective. To determine the prevalence of urticaria and describe its clinical characteristics in children and adolescents under 19 years of age in a general hospital. Population and methods. This was a cross-sectional study carried out between 2015 and 2020 in a population of children and adolescents seen at a private healthcare facility. Results. A total of 1567 medical records of patients with urticaria seen during the study period were reviewed. Thirty-six patients with chronic urticaria were identified; the prevalence was 0.16% (95% CI: 0.11-0.22). Conclusion. The prevalence of chronic urticaria in children and adolescents was 0.16%. A higher frequency was observed among girls and adolescents.

Analysis of refeeding syndrome: Paediatric in-patient population study in Dominican Republic

Analysis of refeeding syndrome: Paediatric in-patient population study in Dominican Republic

Sensitivity of the familial high-risk approach for the prediction of future psychosis: a total population study.

Children who have a parent with a psychotic disorder present an increased risk of developing psychosis. It is unclear to date, however, what proportion of all psychosis cases in the population are captured by a familial high-risk for psychosis (FHR-P) approach. This is essential information for prevention research and health service planning, as it tells us the total proportion of psychosis cases that this high-risk approach would prevent if an effective intervention were developed. Through a prospective cohort study including all individuals born in Finland between January 1, 1987 and December 31, 1992, we examined the absolute risk and total proportion of psychosis cases captured by FHR-P and by a transdiagnostic familial risk approach (TDFR-P) based on parental inpatient hospitalization for any mental disorder. Outcomes of non-affective psychosis (ICD-10: F20-F29) and schizophrenia (ICD-10: F20) were identified in the index children up to December 31, 2016. Of the index children (N=368,937), 1.5% (N=5,544) met FHR-P criteria and 10.3% (N=38,040) met TDFR-P criteria. By the study endpoint, 1.9% (N=6,966) of the index children had been diagnosed with non-affective psychosis and 0.5% (N=1,846) with schizophrenia. In terms of sensitivity, of all non-affective psychosis cases in the index children, 5.2% (N=355) were captured by FHR-P and 20.6% (N=1,413) by TDFR-P approaches. The absolute risk of non-affective psychosis was 6.4% in those with FHR-P, and 3.7% in those with TDFR-P. There was notable variation in the sensitivity and total proportion of FHR-P and TDFR-P cases captured based on the age at which FHR-P/TDFR-P were determined. The absolute risk for psychosis, however, was relatively time invariant. These metrics are essential to inform intervention strategies for psychosis risk requiring pragmatic decision-making.

Bimekizumab efficacy and safety in Korean patients with moderate to severe plaque psoriasis: A phase 3, randomized, placebo-controlled, double-blinded study.

Bimekizumab treatment has demonstrated significant improvements in clinical outcomes in patients with moderate to severe plaque psoriasis; however, studies so far have focused on predominantly White patient populations from North America and Europe, with one smaller study in a Japanese population. Here, clinical responses, safety, and tolerability of bimekizumab treatment in Korean patients are reported. Korean patients with moderate to severe plaque psoriasis were randomized to bimekizumab 320 mg every 4 weeks (Q4W) or placebo Q4W to week 16. Co-primary efficacy end points were achievement of ≥90% improvement from baseline in the Psoriasis Area and Severity Index (PASI 90) and Investigator's Global Assessment score of 0/1 (clear/almost clear) at week 16. Secondary efficacy end points included achievement of PASI 75 at week 4 and Dermatology Life Quality Index 0/1 at week 16. Safety outcomes were also assessed. Statistical analysis of the co-primary efficacy end points was performed using a type I error rate, at a two-sided α level of 0.05. Overall, 47 Korean patients were randomized to treatment (bimekizumab: 32, placebo: 15). At week 16, bimekizumab-treated patients had significantly higher clinical responses versus placebo-treated patients (PASI 90: 81.3% vs. 0%; IGA 0/1: 87.5% vs. 0%, p < 0.001 for both). Bimekizumab showed a rapid onset of clinical response, with 75.0% of patients achieving PASI 75 by week 4 (0% in placebo patients [nominal p < 0.001]). A higher proportion of bimekizumab-treated patients achieved DLQI 0/1 at week 16 (46.9% vs. 6.7% in placebo patients, nominal p = 0.007), indicating greater improvements in health-related quality of life (HRQoL) following bimekizumab treatment. Bimekizumab was well-tolerated in Korean patients, with no new safety signals identified. Treatment with bimekizumab led to rapid improvements in clinical responses and HRQoL versus placebo in Korean patients, consistent with responses in global populations. These findings suggest that bimekizumab is an effective and well-tolerated treatment option in Korean patients with psoriasis.

Vitamin A deficiency disturbs Ret expression and induces urinary tract developmental abnormalities in mice

Introduction: Moderate vitamin A levels during pregnancy are strongly related to normal embryonic development in both animal models and population studies. Abnormal development of urinary tract system is linked to either an excess or a shortage of vitamin A. The relationships among maternal vitamin A deficiency prior to conception, moderate vitamin A supplementation during pregnancy, and abnormal urinary system development in offspring are unclear. Methods: By creating preconception and preconception + pregnancy vitamin A insufficiency mouse models, we investigated whether moderate vitamin A treatment during pregnancy may reduce the prevalence of CAKUT and increase distant vitamin A levels in offspring, as well as any potential pathways involved. Results: We effectively established a prepregnancy vitamin A-deficient mouse model by providing a particular diet with or without vitamin A for four weeks. The offspring of the hypovitaminosis A model group presented a greater proportion of neonatal urinary tract developmental malformations. Abnormalities in ureteral bud emergence and key molecules during renal development, such as p-Plcγ and Ret, may be the primary causes of offspring development of CAKUT as a result of mothers’ hypovitaminosis A. Normal vitamin A diets, on the other hand, may help mitigate the teratogenic consequences of prepregnancy hypovitaminosis A, as well as defects produced by ureteral budding and major molecular changes. Conclusion: In contrast, the administration of normal vitamin A feeds during pregnancy may ameliorate the teratogenic effects of prepregnancy hypovitaminosis A to a certain extent and may also ameliorate the abnormalities associated with ureteral budding and key molecular changes.

Intermediate hepatitis C virus (HCV) endemicity and its genotype distribution in Myanmar: A systematic review and meta-analysis

Background Comprehensive details on Hepatitis C virus (HCV) infection in Myanmar are lacking. This study determined the prevalence of HCV antibodies and ribonucleic acid (RNA) and the distribution of HCV genotypes across different populations in Myanmar from 1990 to 2023. Material and methods A systematic search in PubMed, Web of Science, Scopus, and local journals identified studies reporting on HCV antibodies, RNA, and genotypes, excluding clinical research related to liver disease prognosis. Screening and data extraction was done by two authors and study populations were categorized into low-risk, high-risk, liver disease patients, and refugees outside the country. The pooled prevalence was performed by Dersimonian and Laird method using the R program. The publication bias was shown by funnel plot, the Egger test was used to assess the symmetry of the plot, and the heterogeneity was examined by the Cochran Q test and I2 index. Results Out of 135 reports screened for eligibility, 35 reports comprising 51 studies were included in which 33 studies provided data on HCV seroprevalence in 685,403 individuals, 8 studies reported HCV RNA prevalence in 25,018 individuals, and 10 studies examined HCV genotypes in 1,845 individuals. The pooled seroprevalence of HCV among low-risk, high-risk, liver disease patients and refugees were 2.18%, 37.07%, 33.84%, and 2.52% respectively. HCV RNA-positive rates in these groups were 1.40%, 5.25%, 24.96%, and 0.84% respectively. Seroprevalence studies showed publication bias (Egger test, p = 0.0001), while RNA studies did not (Egger test, p = 0.8392). HCV genotype 3 was predominant in all sub-groups in Myanmar. Conclusion Our study shows Myanmar has intermediate HCV endemicity with lowest HCV prevalence of 2.18% in low-risk groups and highest prevalence of 37.07% in high- risk groups. However, the findings highlight the need for further epidemiological studies to understand actual disease burden and implement effective countermeasures to achieve the WHO’s goal of HCV elimination by 2030.

Core Mental Health Clinician Capacity and Use Rates in the US Military

Active duty service members have higher mental health stress and cannot choose where to live. It is imperative to understand how geographic access may be associated with their ability to obtain mental health treatment and how the COVID-19 pandemic was associated with these patterns. To identify changes in the prevalence and intensity of mental health care use when service members experienced changes in core mental health clinician (defined to include psychiatrists, psychiatric nurse practitioners, clinical psychologists and social workers, and marriage and family therapists) capacity in their communities and whether patterns changed from before to after the onset of the COVID-19 pandemic. This retrospective cohort study of the active duty population between January 1, 2016, and December 31, 2022, was conducted using individual fixed-effects models to estimate changes in the probability of mental health care visits and visit volume when a person moved across communities with adequate core mental health clinician capacity (≥1 clinician/6000 beneficiaries), shortage areas (<1 clinician/6000 beneficiaries), and areas with 0 clinicians within a 30-minute drive time. All US active duty service members stationed in the continental US, Hawaii, and Alaska were included. Data were analyzed from January through July 2024. The first set of outcomes captured the probability of making at least 1 mental health care visit in a given quarter; the second set of outcomes captured the intensity of visits (ie, the number of visits log transformed). This study included 33 039 840 quarterly observations representing 2 461 911 unique active duty service members from the Army, Navy, Marines, and Air Force (1 959 110 observations among Asian or Pacific Islander [5.9%], 5 309 276 observations among Black [16.1%], 5 287 168 observations among Hispanic [16.0%], and 18 739 827 observations among White [56.7%] individuals; 27 473 563 observations among males [83.2%]; mean [SD] age, 28.20 [7.78] years). When an active duty service member moved from a community with adequate capacity at military treatment facilities to one with 0 clinicians within a 30-minute drive, the probability of a mental health visit to any clinician decreased by 1.13 percentage points (95% CI, -1.21 to -1.05 percentage points; equivalent to a 11.6% relative decrease) and the intensity of total visits was reduced by 7.7% (95% CI, -9.0% to -6.5%). The gap increased from before to after the onset of the COVID-19 pandemic, from 8.5% (equivalent to -0.82 percentage points [95% CI, -0.92 to -0.73 percentage points]) to 16.2% (equivalent to -1.58 percentage points [95% CI, -1.70 to -1.46 percentage points]) in the probability of visiting any clinician type for mental health. In this study, active duty personnel assigned to locations without core military mental health clinicians within a 30-minute drive time were less likely to obtain mental health care and had fewer mental health care visits than those in communities with adequate military mental health capacity even if there was adequate coverage from the civilian sector. The care disparity increased after the onset of the COVID-19 pandemic.

Importance of accounting for imperfect detection of plants in the estimation of population growth rates

Detection of plant individuals is imperfect. Not accounting for this issue can result in biased estimates of demographic parameters as important as population growth rates. In mobile organisms, a common practice is to explicitly account for detection probability during the estimation of most demographic parameters, but no study in plant populations has examined the consequences of ignoring imperfect detectability on the estimation of population growth rates. The lack of accounting for detection probability occurs because plant demographers have frequently assumed that detection is perfect, and because there is a scarcity of studies that formally compare the performance of estimation methods that incorporate detection probabilities with respect to methods that ignore detectabilities. Based on field data of five plant species and data simulations, we compared the performance of three methods that estimate population growth rates, two that do not estimate detection probabilities (direct counts of individuals and the minimum‐number‐alive method) and the other that explicitly accounts for detection probabilities (temporal symmetry models). Our aims were 1) to estimate detection probabilities, and 2) to evaluate the performance of these three methods by calculating bias, accuracy, and precision in their estimates of population growth rates. Our five plant species had imperfect detection. Estimates of population growth rates that explicitly incorporate detectabilities had better performance (less biased estimates, with higher accuracy and precision) than those obtained with the two methods that do not calculate detection probabilities. In these latter methods, bias increases as detection probability decreases. Our findings highlight the importance of using robust analytical methods that account for detection probability of plants during the estimation of critical demographic parameters such as population growth rates. In this way, estimates of plant population parameters will reliably indicate their actual status and quantitative trends.

Checklist and guidance on creating codelists for routinely collected health data research

Background Codelists are required to extract meaningful information on characteristics and events from routinely collected health data such as electronic health records. Research using routinely collected health data relies on codelists to define study populations and variables, thus, trustworthy codelists are important. Here, we provide a checklist, in the style of commonly used reporting guidelines, to help researchers adhere to best practice in codelist development and sharing. Methods Based on a literature search and a workshop with researchers experienced in the use of routinely collected health data, we created a set of recommendations that are 1. broadly applicable to different datasets, research questions, and methods of codelist creation; 2. easy to follow, implement and document by an individual researcher, and 3. fit within a step-by-step process. We then formatted these recommendations into a checklist. Results We have created a 10-step checklist, comprising 28 items, with accompanying guidance on each step. The checklist advises on which metadata to provide, how to define a clinical concept, how to identify and evaluate existing codelists, how to create new codelists, and how to review, check, finalise, and publish a created codelist. Conclusions Use of the checklist can reassure researchers that best practice was followed during the development of their codelists, increasing trust in research that relies on these codelists and facilitating wider re-use and adaptation by other researchers.

Vitamin D, periodontitis and tooth loss in older Irish adults.

The aim of this study is to investigate whether 25-hydroxyvitamin D (25(OH)D) is associated with periodontitis and tooth loss in older adults. A total of 2346 adults underwent a detailed dental examination as part of the health assessment of a national population study - The Irish Longitudinal Study of Ageing. 25(OH)D analysis was performed on frozen non-fasting total plasma using LC-MS. The analysis included both multiple logistic regression and multinominal logistic regression to investigate associations between 25(OH)D concentration, periodontitis and tooth loss, adjusting for a range of potential confounders. Results of the analysis found the mean age of participants was 65·3 years (sd 8·2) and 55·3 % of the group were female. Based on the quintile of 25(OH)D concentration, participants in the lowest v. highest quintile had an OR of 1·57 (95 % CI 1·16, 2·13; P < 0·01) of having periodontitis in the fully adjusted model. For tooth loss, participants in the lowest v. highest quintile of 25(OH)D had a RRR of 1·55 (95 % CI 1·12, 2·13; P < 0·01) to have 1-19 teeth and a RRR of 1·96 (95 % CI 1·20, 3·21; P < 0·01) to be edentulous, relative to those with ≥ 20 teeth in the fully adjusted models. These findings demonstrate that in this cross-sectional study of older men and women from Ireland, 25(OH)D concentration was associated with both periodontitis and tooth loss, independent of other risk factors.

Who are the ‘real’ people? The concept of relational popular identity and the self-identification of populist voters in Poland

Research on national, political, and social identities in the study of populism is typically limited to analysing populist identity framing in political and media discourses and measuring its effects on individual populist attitudes. Thus, the self-identification of populists’ supporters, i.e. how they relate to populist identity framing when reflexively constructing their identities, remains largely unexplored. To address this issue, the article introduces the concept of relational popular identity, capturing the complexities of late-modern political identities, and the relational identity mapping technique used to investigate the web of relations forming these identities. The article also presents a case study of loyal voters of the Law and Justice party in Poland and discusses how a relational right-wing popular identity may serve as an ‘intermediary identity’ that articulates elements of other identities to maintain their integrity and a ‘community of last resort’ that unites the ‘real’ people through an immunitarian mechanism of exclusion.

Viral Infection and Ischemic Stroke: Emerging Trends and Mechanistic Insights.

Population studies have suggested that viral infections may be contributing to risk of ischemic stroke, although the mechanisms for this are unclear. In this review, we examine the epidemiological evidence supporting the involvement of viral diseases, including influenza, COVID-19, chronic herpesvirus infections, and hepatitis C in current trends of stroke incidence. To support these associations, we highlight the virus-host interactions that are critical in the context of stroke, including direct effects of acute and persistent viral infections on vascular function, inflammation, and thrombosis. Additionally, we evaluate the systemic changes that occur during viral infection that can predispose individuals to ischemic stroke, including alterations in blood pressure regulation, coagulation, and lipid metabolism. Our review emphasizes the need to further elucidate precise mechanisms involved in viral infections and stroke risk. Future research will inform the development of targeted interventions for stroke prevention in the context of viral diseases.

State program enables the identification of factors associated with naloxone awareness, self-efficacy, and use for overdose reversal: A cross-sectional, observational study in an urban emergency department population

IntroductionTo assist the state of Ohio in addressing the opioid epidemic, the Ohio Attorney General appointed experts in a variety of academic disciplines to the Scientific Committee on Opioid Prevention and Education (SCOPE). The focus of SCOPE is the application of scientific principles to the development of prevention and educational strategies for reducing substance use disorder and related harms (e.g., promoting naloxone awareness). Naloxone awareness is a step in the naloxone cascade, which is a useful model for understanding the sequential steps laypeople must take to prepare themselves to intervene using naloxone; other steps include training and previous administration experience. Prior work has explored correlates of these steps among individuals with risky substance use, but fewer studies have focused on broader populations containing potential bystanders (e.g., family and community members). MethodsThis study was a secondary data analysis of patients from three urban emergency departments. Subsamples differed across five models (n = 479–1208) and included opioid-exposed and -naïve participants. Logistic regression characterized clinically useful sociodemographic predictors (e.g., race, ethnicity, education, employment, housing status) of naloxone awareness, self-efficacy (which relates to training), and previous-overdose administration. Two additional logistic regressions tested associations between risk factors for witnessing an opioid overdose and two cascade steps (awareness and self-efficacy). ResultsNon-White race, Hispanic ethnicity, and lower education predicted not being aware of naloxone; non-White race also predicted lower naloxone self-efficacy, and older age predicted lack of previous-overdose administration. Having family members with risky opioid use was heavily associated with awareness, while personal substance-use behaviors and previous overdose witnessing were associated with both awareness and higher naloxone self-efficacy. ConclusionsCharacteristics associated with lower likelihood of completing each cascade step highlight opportunities for targeted interventions. Specifically, findings indicated the importance of expanding naloxone education and training programs to more diverse populations and to family members of individuals with risky opioid use. Further, these findings demonstrate how a state-funded program such as SCOPE can have a positive impact on identifying strategies that may assist in reducing mortality associated with opioid overdose.

Iron homeostasis and insulin sensitivity: unraveling the complex interactions.

Diabetes has arisen as a noteworthy global health issue, marked by escalating incidence and mortality rates. Insulin, crucial for preserving euglycemia, acts as a vital energy provider for various tissues. Iron metabolism notably plays a significant role in the development of insulin resistance, a key factor in the onset of various metabolic disorders. The intricate interaction between iron and insulin signaling encompasses complex regulatory mechanisms at the molecular level, thereby impacting cellular reactions to insulin. The intricate interplay between insulin and glucagon, essential for precise regulation of hepatic glucose production and systemic glucose levels, may be influenced by certain microelements for instance zinc, copper, iron, boron, calcium, cobalt, chromium, iodine, magnesium and selenium. While significant progress has been achieved in elucidating the pathophysiological connections between iron overload and glucose metabolism, our understanding of the involvement of the Fenton reaction and oxidative stress in insulin resistance influencing many chronical conditions remains limited. Furthermore, the exploration of the multifaceted roles of insulin in the human body continues to be a subject of active investigation by numerous scientific researchers. This review comprehensively outlines the potential adverse impact of iron overload on insulin function and glucose metabolism. Additionally, we provide a synthesis of findings derived from various research domains, encompassing population studies, animal models, and clinical investigations, to scrutinize the multifaceted relationship between iron and insulin sensitivity. Moreover, we delineate instances of correlations between serum iron levels and various medical conditions, including the diabetes also gestational diabetes and obesity.

Self-Reported Health and Associated Factors among Nepalese Older Adults

Background: Self-reported health (SRH) is a subjective measurement tool for overall health status that integrates biological, social, mental, and functional aspects of individuals. Objectives: The purpose of this article is to assess the SRH and its correlates among community-living older adults. Methods: This study is a secondary analysis of structured interview data collected by the Central Department of Population Studies at Tribhuvan University (TU) via a cross-sectional survey of community-dwelling persons aged 60+ in the Pharping area of Kathmandu. For this study, there were 1320 valid responses. A simple and direct question was used “In general, how do you rate your general health?” Its answer was recorded on the 5-point Likert scale ranging from “Very Good to Very Bad”. Results: The mean age of the participants was 69.92 years. Of the participants, 19.2% reported poor SRH. Results show mental health problems, total number of children still alive, age of respondent, literacy status, physical health problem now, satisfaction with current living arrangements, walking efficiency, adequate income sources, marital status and currently working were correlated with SRH. However, linear regression shows that significant factors of SRH are walking efficiency (β= 0.324, 95% CI= 0.240 to 0.323), physical health problems (β = -0.258, 95% CI= -0.493 to -0.346), currently working (β: 0.197, 95% CI=0.223 to 0.373), having enough income to meet basic needs (β: 0.065, 95% CI= -0.136 to -0.021) and satisfied with living arrangements (β= 0.065, 95% CI= 0.018 to 0.116). Conclusion: Nepal is aging rapidly, and the proportion of older people will increase in the coming days. Walking efficiency, physical health, currently working and having sufficient income are important factors related to SRH. Identifying these determinants through self-rated status can support the planning of actions aimed at improving the health of the community living older adults.

Mitochondrial Health Markers and Obesity-Related Health in Human Population Studies: A Narrative Review of Recent Literature.

This narrative review summarizes current literature on the relationship of mitochondrial biomarkers with obesity-related characteristics, including body mass index and body composition. Mitochondria, as cellular powerhouses, play a pivotal role in energy production and the regulation of metabolic process. Altered mitochondrial functions contribute to obesity, yet evidence of the intricate relationship between mitochondrial dynamics and obesity-related outcomes in human population studies is scarce and warrants further attention. We discuss emerging evidence linking obesity and related health outcomes to impaired oxidative phosphorylation pathways, oxidative stress and mtDNA variants, copy number and methylation, all hallmark of suboptimal mitochondrial function. We also explore the influence of dietary interventions and metabolic and bariatric surgery procedures on restoring mitochondrial attributes of individuals with obesity. Finally, we report on the potential knowledge gaps in the mitochondrial dynamics for human health for future study.

Limited support for a direct connection between prebiotics and intestinal permeability - a systematic review.

The intestinal barrier is a selective interface between the body´s external and the internal environment. Its layer of epithelial cells is joined together by tight junction proteins. In intestinal permeability (IP), the barrier is compromised, leading to increased translocation of luminal contents such as large molecules, toxins and even microorganisms. Numerous diseases including Inflammatory Bowel Disease (IBD), Coeliac disease (CD), autoimmune disorders, and diabetes are believed to be associated with IP. Dietary interventions, such as prebiotics, may improve the intestinal barrier. Prebiotics are non-digestible food compounds, that promote the growth and activity of beneficial bacteria in the gut. This systematic review assesses the connection between prebiotic usage and IP. PubMed and Trip were used to identify relevant studies conducted between 2010-2023. Only six studies were found, which all varied in the characteristics of the population, study design, and types of prebiotics interventions. Only one study showed a statistically significant effect of prebiotics on IP. Alteration of intestinal barrier function was measured by lactulose/mannitol, chromium-labelled Ethylenediaminetetraacetic acid (51Cr-EDTA), lactulose/rhamnose, and sucralose/erythritol excretion as well as zonulin and glucagon-like peptide 2 levels. Three studies also conducted gut microbiota assessment, and one of them showed statistically significant improvement of the gut microbiome. This study also reported a decrease in zonulin level. The main conclusion from this review is that there is a lack of human studies in this important field. Futhermore, large population studies and using standardized protocols, would be required to properly assess the impact of prebiotic intervention and improvement on IP.