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Nevin Manimala Statistics

The intergenerational effect of tuition-free lower-secondary education on children’s nutritional outcomes in Africa

Glob Public Health. 2024 Jan;19(1):2291703. doi: 10.1080/17441692.2023.2291703. Epub 2023 Dec 20.

ABSTRACT

One in five child deaths under age 5 are a result of severe wasting. Malnutrition at early ages is linked to lifelong consequences, such as reduced cognitive skills, reduced earnings in adulthood and chronic health conditions. Countries worldwide have committed to addressing child undernutrition, and ending hunger is foundational to the Millennium Development Goals. In this paper, we study the intergenerational effect of providing free tuition in secondary school on future children’s nutrition. We combined a novel longitudinal dataset that captures educational policies for 40 African countries from 1990 to 2019 with the Demographic and Health Survey (DHS). We identified three countries that introduced free secondary education several years after implementing free primary education. Exploiting this variation in timing we estimate the additional impact of providing free secondary education over free primary education. Using a difference-in-difference approach, we find that introducing free secondary education significantly reduced wasting. Cohorts exposed to free secondary had an 18% relative decrease in wasting. The impact on cohorts exposed only to free primary was smaller and not statistically significant. Expanding free secondary education has long-term, intergenerational benefits and is an effective path to reducing malnutrition. Results are robust to different specifications.

PMID:38118117 | DOI:10.1080/17441692.2023.2291703

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Nevin Manimala Statistics

Association of the COVID-19 Pandemic With Women, Infants, and Children (WIC) Receipt Among Pregnant Individuals: United States, 2016-2022

Am J Public Health. 2023 Dec;113(S3):S240-S247. doi: 10.2105/AJPH.2023.307525.

ABSTRACT

Objectives. To evaluate the effect of COVID-19 on Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) receipt among pregnant individuals overall and by race/ethnicity. Methods. We measured changes in WIC receipt among Medicaid-covered births (n = 10 484 697) from the US National Center for Health Statistics Natality Files (2016-2022). Our interrupted time series logistic model included a continuous monthly variable, a binary post-COVID variable, and a continuous slope shift variable. We additionally fit separate models for each race/ethnicity relative to White individuals, using interaction terms between the time series variables and race/ethnicity. Results. We found decreases in WIC receipt (adjusted odds ratio [AOR] = 0.899; P < .001) from before COVID (66.6%) to after COVID (57.9%). There were larger post-COVID decreases for American Indian/Alaska Native (AOR = 0.850; P < .001), Native Hawaiian/Other Pacific Islander (AOR = 0.877; P = .003), Black (AOR = 0.974; P < .001), and Hispanic (AOR = 0.972, P < .001) individuals relative to White individuals. Conclusions. The greater reductions in WIC receipt among minoritized individuals highlights a pathway through which the pandemic may have widened gaps in already disparate maternal and infant health. Public Health Implications. Continued efforts to increase WIC utilization are needed overall and among minoritized populations. (Am J Public Health. 2023;113(S3):S240-S247. https://doi.org/10.2105/AJPH.2023.307525).

PMID:38118087 | DOI:10.2105/AJPH.2023.307525

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Nevin Manimala Statistics

Cognitive and Developmental Profiles Associated with Self-Reported Sexual and Gender Minority Stigmatization Among Binary Transgender Adolescents

J Clin Child Adolesc Psychol. 2023 Dec 20:1-17. doi: 10.1080/15374416.2023.2292045. Online ahead of print.

ABSTRACT

OBJECTIVE: Sexual and gender minority (SGM) stigmatization is a key factor related to transgender adolescent mental health. While previous research has focused on direct associations between stigmatization and mental health, the present study of transgender youth, equitably recruited across the autism spectrum, examines cognitive and developmental factors in relation to the self-report of experienced and perceived SGM stigmatization.

METHOD: 65 binary transgender adolescents (43% transfeminine; ages 13-21 years) were intentionally recruited across the spectrum of autism traits from no traits to full criteria autism. Participants completed measures of autism-related social differences, cognitive abilities, and self-reported directly experienced and perceived SGM stigma. Autism-related social differences, cognitive abilities, and age were studied in relation to both SGM stigma factors.

RESULTS: Autism-related social differences were negatively associated with level of directly experienced SGM stigma but unassociated with perceived stigma. Greater cognitive ability was positively associated with level of perceived SGM stigma, but unassociated with report of directly experienced stigma. Older age was positively associated with level of perceived SGM stigma. There was a statistical trend toward older age positively associated with level of directly experienced stigma.

CONCLUSIONS: The present study identifies candidate cognitive and developmental influences on self-reported SGM stigmatization among transgender adolescents, evenly recruited across the autism spectrum. The factors which may impact the perception and experience of stigmatization have been notably under-explored in the mental health field. The examination of these individual characteristics may allow for more precise predictive models for research with transgender youth, and ultimately, in clinical care.

PMID:38118056 | DOI:10.1080/15374416.2023.2292045

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Nevin Manimala Statistics

Where Medical Statistics Meets Artificial Intelligence. Reply

N Engl J Med. 2023 Dec 21;389(25):2403-2404. doi: 10.1056/NEJMc2312332.

NO ABSTRACT

PMID:38118045 | DOI:10.1056/NEJMc2312332

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Nevin Manimala Statistics

Where Medical Statistics Meets Artificial Intelligence

N Engl J Med. 2023 Dec 21;389(25):2403. doi: 10.1056/NEJMc2312332.

NO ABSTRACT

PMID:38118044 | DOI:10.1056/NEJMc2312332

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Nevin Manimala Statistics

Where Medical Statistics Meets Artificial Intelligence

N Engl J Med. 2023 Dec 21;389(25):2402-2403. doi: 10.1056/NEJMc2312332.

NO ABSTRACT

PMID:38118043 | DOI:10.1056/NEJMc2312332

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Nevin Manimala Statistics

Where Medical Statistics Meets Artificial Intelligence

N Engl J Med. 2023 Dec 21;389(25):2402. doi: 10.1056/NEJMc2312332.

NO ABSTRACT

PMID:38118042 | DOI:10.1056/NEJMc2312332

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Nevin Manimala Statistics

Effective Stakeholder Engagement for Collation, Analysis and Expansion of Antimicrobial Resistance (AMR) Data: A CAPTURA Experience

Clin Infect Dis. 2023 Dec 20;77(Supplement_7):S519-S527. doi: 10.1093/cid/ciad585.

ABSTRACT

BACKGROUND: An effective implementation of antimicrobial resistance (AMR) surveillance projects requires sustainable and multidisciplinary engagement with stakeholders from various backgrounds, interests and aims. The “Capturing Data on Antimicrobial resistance Patterns and Trends in Use in Regions of Asia” (CAPTURA) project, funded by the Fleming Fund, initially targeted 12 countries in South Asia (SA) and Southeast Asia (SEA) to “expand the volume of historical and current data on AMR and antimicrobial usage” and support local agencies through capacity building activities.

METHODS: In this article, we focus on early stakeholder engagement activities and present overall statistics on AMR data collated from 72 laboratories across seven countries. This included 2.3 million records of antimicrobial susceptibility testing (AST) data, which were curated, analyzed, and shared back to the facilities for informed decision making.

RESULTS: Approximately 98% of the data collated by CAPTURA originated from laboratories based in SA countries. Furthermore, country-wide data were analyzed to identify commonly reported pathogens in each country, followed by descriptions of AST practices and multidrug-resistant (MDR) pathogens. Overall, we found meager adherence to standard guidelines to perform and record AST results, and a significant number of MDR pathogens were reported.

CONCLUSIONS: We conclude that close collaboration with the existing national mechanisms for identifying AMR data sources was crucial for the project’s success. Although we show a vast retrospective dataset on AMR is available for data sharing in Asia, there remain critical gaps in data generation/management practice and analysis capacity for AMR data at most facilities.

PMID:38118005 | DOI:10.1093/cid/ciad585

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Nevin Manimala Statistics

Associations between R.E.N.A.L. nephrometry score and survival outcomes in renal tumours

Jpn J Clin Oncol. 2023 Dec 19:hyad174. doi: 10.1093/jjco/hyad174. Online ahead of print.

ABSTRACT

OBJECTIVE: The radius-exophytic/endophytic-nearness-anterior/posterior-location nephrometry score could be used to predict surgical outcomes and renal tumour aggressiveness. We aimed to analyse its associations with survival outcomes.

METHODS: We included 1368 patients with sporadic, unilateral and non-metastatic renal tumours who received curative nephrectomy in Zhongshan Hospital from January 2009 to September 2019. Radius-exophytic/endophytic-nearness-anterior/posterior-location nephrometry scores were assigned by three urologists based on preoperative CT/MRI scans. Correlations between parameters or sum of radius-exophytic/endophytic-nearness-anterior/posterior-location nephrometry scores, overall survival and recurrence-free survival were analysed by Kaplan-Meier analyses and the multivariate Cox regression model. We further compared survival outcomes between patients who received partial nephrectomy and patients who received radical nephrectomy.

RESULTS: We observed statistically significant associations between all components of radius-exophytic/endophytic-nearness-anterior/posterior-location nephrometry scores and oncologic outcomes, including R (radius) (overall survival, P < 0.001; recurrence-free survival , P < 0.001), E (exophytic/endophytic) (overall survival, P = 0.003; recurrence-free survival, P < 0.001), N (nearness) (overall survival, P = 0.063; recurrence-free survival, P < 0.001), A (anterior/posterior) (overall survival, P < 0.001; recurrence-free survival, P = 0.005), L (location) (overall survival, P = 0.008; recurrence-free survival, P < 0.001) and suffix ‘h’ (overall survival, P = 0.237; recurrence-free survival, P = 0.034). Kaplan-Meier curves of overall survival and recurrence-free survival rates were significantly different when stratified by radius-exophytic/endophytic-nearness-anterior/posterior-location nephrometry score complexity group (overall survival, P < 0.001; recurrence-free survival, P < 0.001). After adjusting for tumour stage and grade, radius-exophytic/endophytic-nearness-anterior/posterior-location nephrometry score as continuous variables was an adverse independent risk factor for survival outcomes [P = 0.027, hazard ratio (95% confidence interval) = 1.151 (1.016-1.303)] and recurrence-free survival [P < 0.001, hazard ratio (95% confidence interval) = 1.299 (1.125-1.501)]. For tumours with radius-exophytic/endophytic-nearness-anterior/posterior-location nephrometry scores of 4 and 5, partial nephrectomy showed a survival benefit than radical nephrectomy.

CONCLUSION: Both components and complexity groups of the radius-exophytic/endophytic-nearness-anterior/posterior-location nephrometry score are associated with survival outcomes in renal tumour patients.

PMID:38117949 | DOI:10.1093/jjco/hyad174

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Nevin Manimala Statistics

Design and analysis heterogeneity in observational studies of COVID-19 booster effectiveness: A review and case study

Sci Adv. 2023 Dec 22;9(51):eadj3747. doi: 10.1126/sciadv.adj3747. Epub 2023 Dec 20.

ABSTRACT

We investigated the design and analysis of observational booster vaccine effectiveness (VE) studies by performing a scoping review of booster VE literature with a focus on study design and analytic choices. We then applied 20 different approaches, including those found in the literature, to a single dataset from Michigan Medicine. We identified 80 studies in our review, including over 150 million observations in total. We found that while protection against infection is variable and dependent on several factors including the study population and time period, both monovalent boosters and particularly the bivalent booster offer strong protection against severe COVID-19. In addition, VE analyses with a severe disease outcome (hospitalization, intensive care unit admission, or death) appear to be more robust to design and analytic choices than an infection endpoint. In terms of design choices, we found that test-negative designs and their variants may offer advantages in statistical efficiency compared to cohort designs.

PMID:38117882 | DOI:10.1126/sciadv.adj3747