OBJECTIVE: Psychosocial adversity and stress, known to predispose adults to neurodegenerative and inflammatory immune disorders, are widespread among children who experience socioeconomic disadvantage, and the associated neurotoxicity and proinflammatory profile may predispose these children to multiple sclerosis (MS). We sought to determine associations of socioeconomic disadvantage and psychosocial adversity with odds of pediatric-onset MS (POMS), age at POMS onset, and POMS disease activity.
METHODS: This case-control study used data collected across 17 sites in the United States by the Environmental and Genetic Risk Factors for Pediatric Multiple Sclerosis Study. Cases (n = 381) were youth aged 3-21 years diagnosed with POMS or a clinically isolated demyelinating syndrome indicating high risk of MS. Frequency-matched controls (n = 611) aged 3-21 years were recruited from the same institutions. Prenatal and postnatal adversity and postnatal socioeconomic factors were assessed using retrospective questionnaires and zip code data. The primary outcome was MS diagnosis. Secondary outcomes were age at onset, relapse rate, and Expanded Disability Status Scale (EDSS). Predictors were maternal education, maternal prenatal stress events, child separation from caregivers during infancy and childhood, parental death during childhood, and childhood neighborhood disadvantage.
RESULTS: MS cases (64% female, mean age 15.4 years, SD 2.8) were demographically similar to controls (60% female, mean age 14.9 years, SD 3.9). Cases were less likely to have a mother with a bachelor\'s degree or higher (OR 0.42, 95% CI 0.22-0.80, p = 0.009) and were more likely to experience childhood neighborhood disadvantage (OR 1.04 for each additional point on the neighborhood socioeconomic disadvantage score, 95% CI 1.00-1.07; p = 0.025). There were no associations of the socioeconomic variables with age at onset, relapse rate, or EDSS, or of prenatal or postnatal adverse events with risk of POMS, age at onset, relapse rate, or EDSS.
CONCLUSIONS: Low socioeconomic status at the neighborhood level may increase the risk of POMS while high parental education may be protective against POMS. Although we did not find associations of other evaluated prenatal or postnatal adversities with POMS, future research should explore such associations further by assessing a broader range of stressful childhood experiences.

The escalating demands of a growing population and rising living standards strain the efficiency of traditional agricultural methods in fulfilling consumer nutritional needs. Technological advancements, particularly the introduction of contract farming models, offer a potential path towards addressing these challenges. However, in Iran, contract farming remains an underdeveloped and under-researched agricultural practice. This study delves into the factors influencing the development of contract farming in Iran. Employing a two-level multinomial logit model and data collected through 380 questionnaires administered to farmers in the Kermanshah region, the research reveals income (measured by the number of employed household members) as the primary driver of contract farming adoption. Additionally, factors such as reduced agricultural risk, higher education levels among farmers, improved product sales prices, and proximity to processing facilities positively impact the expansion of contract farming. Interestingly, \"push factors\" like land scarcity significantly influence non-contract farming participation, with 30.8% of surveyed households relying on these alternative methods. Geographical factors also contribute, explaining 23% of the observed variance in farming activity choices. These findings inform key policy interventions for sustainable contract farming development in Iran: robust legal frameworks and transparent contracts, contract-specific insurance schemes, training for agricultural extension workers, and farmer awareness campaigns.

BACKGROUND: Ghana is a malaria-endemic country with the entire population at risk. The Northern region of the country recorded the highest malaria case fatality rate (CFR) for two consecutive years: 1.11% in 2013 and 1.07% in 2014. Even though the National Malaria Elimination Programme (NMEP) has achieved a reduction in malaria mortality, the existence of high case fatality in the Northern region was alarming. This study, therefore, aimed to determine the factors associated with malaria mortality in the northern region of Ghana to institute control measures.
METHODS: An unmatched case control study was conducted from July 2015 to August 2015. The study population consisted of patients admitted to health facilities for severe malaria in the Northern region of Ghana. A case was defined as a patient diagnosed with severe malaria at an eligible health facility who died as a result of malaria. A control was a patient diagnosed with severe malaria admitted to an eligible health facility who did not die. Health facilities that recorded CFRs of 1.0% and above were randomly sampled for this study, after which, 10 cases and 20 controls were recruited from each health facility. Information on cases and controls was then abstracted from hospital records using an electronically deployed abstraction tool. Continuous variables were expressed as means and medians, and categorical variables as frequencies and proportions. Multivariable logistic regression was used to assess the strength of the association between malaria mortality and factors predictive of malaria mortality. A p-value of < 0.05 was considered statistically significant.
RESULTS: In all, a total of 95 cases and 190 controls participated in this study. The median ages of cases and controls were 4.1 years (IQR = 21.6) and 5.7 years (IQR = 18.2), respectively. Fifty-four (56.8%) cases were females, while 93 (49.0%) of the controls were females. Factors associated with malaria mortality included: duration of hospital stay less than 24 h [aOR: 12.0, 95% CI (5.9-24.6)], severe pallor [aOR: 2.3, 95% CI (1.1-4.6)], children under 5 years [aOR: 2.8, 95% CI (1.4-5.6)], oral Artesunate/Amodiaquine administration [aOR: 0.4, 95% CI (0.2-0.9)] and sepsis as an additional diagnosis [aOR: 4.1, 95% CI (1.8-9.5)].
CONCLUSIONS: Predictors of malaria mortality in the Northern region include children under 5 years, severe pallor, sepsis as an additional diagnosis, and use of oral anti-malarial. Patients with severe pallor and sepsis as co-morbidities should receive proactive management. The NMEP and its partners should implement measures to strengthen the referral system, anaemia prevention and management, and retrain health workers on malaria case management. Malaria control interventions targeted at under five children in the region should be reviewed and enhanced.

UNASSIGNED: According to study on the under-estimation of COVID-19 cases in African countries, the average daily case reporting rate was only 5.37% in the initial phase of the outbreak when there was little or no control measures. In this work, we aimed to identify the determinants of the case reporting and classify the African countries using the case reporting rates and the significant determinants.
UNASSIGNED: We used the COVID-19 daily case reporting rate estimated in the previous paper for 54 African countries as the response variable and 34 variables from demographics, socioeconomic, religion, education, and public health categories as the predictors. We adopted a generalized additive model with cubic spline for continuous predictors and linear relationship for categorical predictors to identify the significant covariates. In addition, we performed Hierarchical Clustering on Principal Components (HCPC) analysis on the reporting rates and significant continuous covariates of all countries.
UNASSIGNED: 21 covariates were identified as significantly associated with COVID-19 case detection: total population, urban population, median age, life expectancy, GDP, democracy index, corruption, voice accountability, social media, internet filtering, air transport, human development index, literacy, Islam population, number of physicians, number of nurses, global health security, malaria incidence, diabetes incidence, lower respiratory and cardiovascular diseases prevalence. HCPC resulted in three major clusters for the 54 African countries: northern, southern and central essentially, with the northern having the best early case detection, followed by the southern and the central.
UNASSIGNED: Overall, northern and southern Africa had better early COVID-19 case identification compared to the central. There are a number of demographics, socioeconomic, public health factors that exhibited significant association with the early case detection.

UNASSIGNED: Our study explores how New York City (NYC) communities of various socioeconomic strata were uniquely impacted by the COVID-19 pandemic.
UNASSIGNED: New York City ZIP codes were stratified into three bins by median income: high-income, middle-income, and low-income. Case, hospitalization, and death rates obtained from NYCHealth were compared for the period between March 2020 and April 2022.
UNASSIGNED: COVID-19 transmission rates among high-income populations during off-peak waves were higher than transmission rates among low-income populations. Hospitalization rates among low-income populations were higher during off-peak waves despite a lower transmission rate. Death rates during both off-peak and peak waves were higher for low-income ZIP codes.
UNASSIGNED: This study presents evidence that while high-income areas had higher transmission rates during off-peak periods, low-income areas suffered greater adverse outcomes in terms of hospitalization and death rates. The importance of this study is that it focuses on the social inequalities that were amplified by the pandemic.

BACKGROUND: High proportion of multibacillary (MB) among newly diagnosed leprosy cases poses a public health challenge.
OBJECTIVE: This study aimed to find out the factors associated with the high burden of MB leprosy in West Bengal.
METHODS: This case-control study was conducted from August 2020 to December 2022 in three high-endemic districts (annual new case detection rate ≥10/lakh) of West Bengal.
OBJECTIVE: MB cases registered under the National Leprosy Eradication Programme were considered as case and paucibacillary (PB) cases were considered as control. Weighted sample sizes for cases and controls in each of the three districts were selected using simple random sampling from the list of registered leprosy patients. Requisite data were collected through structured interview with a validated questionnaire in Bengali. R, version 4.1.1 (R Foundation for Statistical Computing, 2021, Vienna, Austria) was used for data analysis. A binary logistic regression model was prepared with the type of leprosy as a dependent variable.
RESULTS: Three hundred and ninety-eight individuals, 204 MB and 194 PB, participated in this study with 1.97% nonresponse rate. Gender, marital status, and diagnostic delay (adjusted odds ratio = 2.75 [1.66,4.65]) were associated with developing MB. Not perceiving the symptoms seriously (90, 56% [PB], 97, 51% [MB]), lack of knowledge about the disease and its complications (47, 29% [PB], 53, 28% [MB]), delayed referral by the private practitioners (11, 7% [PB], 22, 12% [MB]) were the major reasons of delay.
CONCLUSIONS: This study identified a vulnerable group - married and migrated males. Changing from annual screening to quarterly screening along with capacity building and awareness generation of the targeted population is the need of the hour for eradicating the disease.

BACKGROUND: Diabetes mellitus (DM) and depression are major public health problems globally. Evidence of linkage of common mental disorders (CMDs) including depression and anxiety disorders with DM is sparsely reported from community-based settings.
OBJECTIVE: The present study aimed to study the association between CMDs and DM among adult population (>30 years) residing in a rural area of North India.
METHODS: A community-based case-control study was conducted in 28 villages of Ballabgarh block of Faridabad district of Haryana. Cases (diabetes) were recruited from the community with at least 1 year of diabetes. Age- and sex-matched two neighborhood controls were selected from the same community. Diabetic status was confirmed using glycated hemoglobin. CMDs such as depression and anxiety disorders were screened using PRIME-MD Hindi version. Conditional logistic regression was used to study the relationship between diabetes and CMDs.
RESULTS: Total 211 cases (diabetic) and 273 controls (nondiabetic) were approached for the study, of which 173 cases and 175 controls were analyzed. Cases and controls were comparable with respect to age, sex, and socioeconomic status. CMDs were found more among cases as compared to controls (67.5% vs. 37.5%) (P < 0.001). On conditional logistic regression analysis, CMDs were significantly higher among diabetes cases (adjusted odds ratio - 3.2, 95% confidence interval: 1.9-5.2).
CONCLUSIONS: Strong evidence of coexistence of CMDs and DM from this population-based study necessitates the need of incorporation of management of CMDs into diabetes control program in India.

OBJECTIVE: A pharmacoepidemiological study to assess VTE risk factors in a diabetes-rich population.
METHODS: The study comprised 299,590 individuals. We observed 3450 VTEs and matched them with 15,875 controls using a nested case-control approach and collected data on comorbidities and prescriptions. By multivariable conditional logistic regression, we calculated ORs with 95%CIs for comorbidities and medications to evaluate their associations with VTE.
RESULTS: Diabetes (aOR 2.16; 95%CI 1.99-2.34), inflammatory bowel disease (1.84; 1.27-2.66), and severe psychiatric disorders (1.72; 1.43-2.05) had the strongest associations among the non-cancer comorbidities. Pancreatic (12.32; 7.11-21.36), stomach (8.57; 4.07-18.03), lung and bronchus (6.26; 4.16-9.43), and ovarian (6.72; 2.95-15.10) cancers were ranked as high-risk for VTE. Corticosteroids, gabapentinoids, psychotropic drugs, risedronic acid, and pramipexole were most strongly associated (aOR exceeding 1.5) with VTE. Insulin (3.86; 3.33-4.47) and sulphonylureas (2.62; 2.18-3.16) had stronger associations than metformin (1.65; 1.49-1.83). Statins and lercanidipine (0.78; 0.62-0.98) were associated with a lowered risk of VTE.
CONCLUSIONS: In this cohort, with 50% diabetes prevalence, pancreatic, stomach, lung and bronchus, and ovarian cancers were strongly associated with VTE. Corticosteroids, gabapentinoids, and psychotropic medications had the strongest associations with VTE among medications. This may be valuable for generating hypotheses for the further research. Lercanidipine may be a novel protective medication against VTE.

Our study aims to delineate the phenotypes of chronic neuropsychiatric symptoms among adult subjects recovering from their first COVID that occurred more than one year ago. We also aim to explore the clinical and socioeconomic risk factors of having a high loading of chronic neuropsychiatric symptoms. We recruited a post-COVID group who suffered from their first pre-Omicron COVID more than a year ago, and a control group who had never had COVID. The subjects completed app-based questionnaires on demographic, socioeconomic and health status, a COVID symptoms checklist, mental and sleep health measures, and neurocognitive tests. The post-COVID group has a statistically significantly higher level of fatigue compared to the control group (p < 0.001). Among the post-COVID group, the lack of any COVID vaccination before the first COVID and a higher level of material deprivation before the COVID pandemic predicts a higher load of chronic post-COVID neuropsychiatric symptoms. Partial correlation network analysis suggests that the chronic post-COVID neuropsychiatric symptoms can be clustered into two major (cognitive complaints -fatigue and anxiety-depression) and one minor (headache-dizziness) cluster. A higher level of material deprivation predicts a higher number of symptoms in both major clusters, but the lack of any COVID vaccination before the first COVID only predicts a higher number of symptoms in the cognitive complaints-fatigue cluster. Our result suggests heterogeneity among chronic post-COVID neuropsychiatric symptoms, which are associated with the complex interplay of biological and socioeconomic factors.

OBJECTIVE: To investigate iron-deficiency anemia as a risk factor for dental pulp disease in children from the central Peruvian jungle.
METHODS: A case-control study was carried out with 270 children, of which 90 referred to cases and 180, to controls. Patients with pulp disease were diagnosed according to the criteria of the Association of Endodontists and the American Board of Endodontics. A specific questionnaire was used to assess ferrous sulfate consumption, maternal education level, maternal age, occupation, and household income. Data were analyzed using Pearson\'s correlation coefficient and a binary logistic regression.
RESULTS: Iron deficiency anemia offers a risk factor for pulp disease in children (OR 7.44, IC 95% 4.0-13.8). According to multivariate analysis using binary logistic regression, ferrous sulfate consumption (OR 13.8, IC 95% 5.6.33.9), maternal education level (OR 2.4, IC 95% 1.1-5.3), maternal age (OR 7.5, IC 95% 2.9-19.4), household income (OR 4.0, IC 95% 1.6-9.6), and caries (OR 10.7, IC 95% 4.5-25.7) configured independent factors that were statistically associated with pulp disease.
CONCLUSIONS: Iron deficiency anemia, ferrous sulfate consumption, maternal education level, maternal age, household income, and dental caries were positively associated with pulp disease in children.