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Nevin Manimala Statistics

Associations between body mass index and all-cause and CVD mortality in agriculture, forestry, and fishing occupations: A prospective cohort study using NHANES data (1999-2014)

PLoS One. 2024 Jul 8;19(7):e0305922. doi: 10.1371/journal.pone.0305922. eCollection 2024.

ABSTRACT

INTRODUCTION: Obesity, as indicated by elevated Body Mass Index (BMI), is a well-established global health concern associated with increased morbidity and mortality across diverse populations. However, the influence of BMI on individuals in Agriculture, Forestry, and Fishing (AFF) occupations, characterized by unique challenges and environmental factors, has received limited research attention.

METHODS: Our study, a prospective cohort analysis, utilized National Health and Nutrition Examination Survey (NHANES) data from 1999-2014, targeting adults above 18 in AFF occupations with comprehensive BMI data, omitting individuals with a history of cancer. Mortality outcomes were extracted from the NHANES mortality file, and BMI was segmented into eight categories. Essential covariates such as age, sex, race, and various health factors were incorporated. The statistical analysis encompassed Cox regression, generalized additive models, smooth curve fitting, and stratified analyses.

RESULTS: During 1,005 person-years with 201 all-cause and 57 CVD deaths, we observed L-shaped and U-shaped correlations of BMI with all-cause and CVD mortality, featuring a pivotal inflection at 26.69 and 27.40 kg/m2. Above this BMI threshold of 26.69 and 27.4 kg/m2, all-cause mortality association was not significant while CVD mortality was positive.

CONCLUSIONS: This study highlights a unique BMI-mortality association in AFF occupations, diverging from standard patterns. The rigorous labor and environmental conditions in AFF jobs suggest that a certain range of higher BMI could reduce mortality risk. This highlights the necessity for tailored health guidelines in different occupations. Future research should concentrate on diverse health indicators and enhanced risk assessment for physically strenuous occupations.

PMID:38976691 | DOI:10.1371/journal.pone.0305922

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Nevin Manimala Statistics

Systemic risk spillover between the stock market and banking deposits: Evidence from a sustainability perspective in the South Asian countries

PLoS One. 2024 Jul 8;19(7):e0288310. doi: 10.1371/journal.pone.0288310. eCollection 2024.

ABSTRACT

This research explores the link between stock markets and banking deposits in South Asian (Pakistan, India, Sri Lanka, Nepal) countries. This study empirically examines the systemic risk potential of financial institutions in South Asia using current systemic risk statistics. Yearly data on stock prices and banking deposits from January 2000 to December 2020 were analyzed using a two-stage process. In the first phase, we measure VaR (value at risk), and in the second step, we measure the DCC GARCH model for our empirical analysis. The study findings reveal systemic risk spillover between the stock markets of South Asian countries and the relevant country’s banking system deposits. The policymakers can use our study findings to create a more sustainable financial sector.

PMID:38976690 | DOI:10.1371/journal.pone.0288310

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Nevin Manimala Statistics

Covid-19 vaccine hesitancy and its predictors among diabetic patients on follow-up at public hospitals in Nekemte Town, Western Ethiopia

PLoS One. 2024 Jul 8;19(7):e0305200. doi: 10.1371/journal.pone.0305200. eCollection 2024.

ABSTRACT

BACKGROUND: Understanding and addressing the concerns of vaccine-hesitant individuals, including those with chronic diseases, is key to increasing vaccine acceptance and uptake. However, in Ethiopia, there is limited evidence on the COVID-19 vaccine hesitancy and predictor variables among diabetic patients. Hence, the study aimed to assess Covid-19 Vaccine Hesitancy and Predictor variables among Diabetic Patients on Follow-Up at Public Hospitals in Nekemte Town, Western Ethiopia.

METHOD: Facility based cross sectional study was conducted among 422 diabetic patients attending public hospitals at Nekemte Town, Western Ethiopia between January, to February, 2023. Study participants were recruited by systematic random sampling. The data were collected interviewee administered pre-tested structured survey questioner. The collected data were entered and cleaned using Epi-Data software 4.6 version. The cleaned data were analyzed using SPSS. 25.0 Statical software. Descriptive statistics like frequency, mean and percentage, and binary logistic regression was applied to identify independent predictors of Covid-19 vaccine hesitancy and association between variables were declared at p-value of 0.05.

RESULT: The overall magnitude of COVID-19 vaccine hesitancy was 15.2% (95% CI: 11.6-18.7). The top three listed reasons for the COVID-19 vaccine hesitancy were: negative information about the vaccine (32.90%), lack of enough information (21.80%), and vaccine safety concern (19.40%). The hesitancy of the COVID-19 vaccination uptake among diabetes patients was independently influenced by age between 40-49 (Adjusted Odd Ratio [AOR] = 4.52(1.04-19.66)), having vaccine awareness (AOR = 0.029(0.001-0.86)), having a great deal of trust on vaccine development (AOR = 0.028(0.002-0.52)), and a fear amount trust (AOR = 0.05(0.003-0.79)) on the vaccine preparation, vaccinated for COVID-19 (AOR = 0.13(0.04-0.51)), perceived exposure to COVID-19 infection after having the vaccine as strongly agree/agree (AOR = 0.03(0.01-0.17))and neither agree nor disagree (AOR = 0.07(0.02-0.30)).

CONCLUSION: COVID-19 vaccine hesitancy among diabetic patients was relatively low. The identified independent predictors were age, vaccine awareness, COVID-19 vaccination history, awareness on vaccine preparation and exposure status to COVID-19 infection. The relevant agency should focus on efforts to translating these high levels of vaccine acceptance into actual uptake, through targeting identifying predictor variables and vaccine availability for a high-risk diabetes patient.

PMID:38976683 | DOI:10.1371/journal.pone.0305200

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Nevin Manimala Statistics

Impact of the Covid-19 pandemic on inpatient health care in Switzerland 2020-2021-A descriptive retrospective study using admission data of all Swiss hospitals

PLoS One. 2024 Jul 8;19(7):e0306791. doi: 10.1371/journal.pone.0306791. eCollection 2024.

ABSTRACT

BACKGROUND: As part of the Covid-19-restrictions in Switzerland, a federal ban on non-urgent examinations and treatments was applied to all hospitals during six weeks in spring 2020 (“spring lockdown”). The aim of this study was to comprehensively investigate the consequences of the Covid-19 pandemic on Swiss inpatient admissions based on data of all hospitals, focusing on selected procedures of different medical urgency.

METHODS: The study includes all acute care inpatient cases (including Covid-19 cases, excluding cases in psychiatry and rehabilitation) according to the Swiss Medical Statistics of Hospitals. Besides the total number of admissions, subdivided by regions, hospital types and age groups, we focused on selected procedures representing different medical urgency: elective surgeries, cancer surgeries, and emergencies. Procedures were selected based on expert interviews. We compared the number of admissions during spring lockdown and for the whole years 2020 and 2021 in absolute numbers and in percentage changes to the corresponding periods in 2019 (baseline year).

RESULTS: During spring lockdown, the number of admissions decreased by 47,156 (32.2%) without catch-up effect by the end of 2020 (-72,817 admissions/-5.8%). With procedure-specific decreases of up to 86%, the decline in admissions was largest for elective surgery, a decline that was only fully reversed in the case of a few procedures, such as joint arthroplasty. Strikingly, admissions due to emergencies also substantially decreased during spring lockdown (stroke -14%; acute myocardial infarction STEMI: -9%, NSTEMI: -26%). Results for the selected procedures in cancer surgery showed no consistent pattern. In 2021, admission numbers for most procedures reached or even exceeded those in 2019.

CONCLUSIONS: The substantial reduction in admissions, particularly in elective procedures, may reflect the impact of the triage in favor of anticipated Covid-19-cases during spring lockdown. By the end of 2020, admissions were still at lower levels relative to the previous, pre-pandemic year. The numbers in 2021 reached the same levels as those in 2019, which suggests that the Covid-19 pandemic only temporarily impacted inpatient health care in Switzerland. Long-term consequences of the observed reduction in admissions for emergencies and cancer surgery need to be investigated at the individual level.

PMID:38976682 | DOI:10.1371/journal.pone.0306791

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Nevin Manimala Statistics

Herding-like behaviour in medical decision making: An experimental study investigating general practitioners’ prescription behaviour

PLoS One. 2024 Jul 8;19(7):e0297019. doi: 10.1371/journal.pone.0297019. eCollection 2024.

ABSTRACT

Previous observational studies have indicated that social influences, such as arising from herding-like behaviour, can contribute to medical errors. In this study, we experimentally examined whether general practitioners (GPs) would follow incorrect prescription recommendations from fellow GP or specialists. To investigate this, we conducted an online survey with 475 GPs practicing in England that included two case vignettes. Case vignette 1 focused on sleeping tablets, and case vignette 2 was centred around antibiotics. The vignettes were presented in random order, and within each vignette, study participants were assigned to one of three experimental conditions: control condition (lacking peer recommendation), fellow GP condition (including a recommendation from a fellow GP not aligned with best practice clinical guidelines), or specialist condition (including a recommendation from a specialist not aligned with best practice clinical guidelines). The primary outcome measure was the proportion of GPs who prescribed medication that deviated from best practice clinical guidelines. We found that, in both case vignettes, the percentage of respondents prescribing such medication was highest in those assigned to the specialist condition, followed by those assigned to the control condition. It was lowest in those assigned to the fellow GP condition (case vignette 1: 73.8% vs. 55.6% vs. 36.6% and case vignette 2: 24.0% vs. 12.4% vs. 10.1%). In the case of vignette 1, the difference between the fellow GP condition and the control condition is statistically significant, suggesting that GPs are less likely to prescribe sleeping tablets when recommended by a fellow GP. This implies that GPs are more inclined to prescribe non-guideline-recommended medication when advised by specialists. This study is the first to experimentally demonstrate that physician herding behaviour can result in prescription errors. Future research could extend this inquiry to diverse contexts, including diagnosis.

PMID:38976681 | DOI:10.1371/journal.pone.0297019

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Nevin Manimala Statistics

BCI Toolbox: An open-source python package for the Bayesian causal inference model

PLoS Comput Biol. 2024 Jul 8;20(7):e1011791. doi: 10.1371/journal.pcbi.1011791. Online ahead of print.

ABSTRACT

Psychological and neuroscientific research over the past two decades has shown that the Bayesian causal inference (BCI) is a potential unifying theory that can account for a wide range of perceptual and sensorimotor processes in humans. Therefore, we introduce the BCI Toolbox, a statistical and analytical tool in Python, enabling researchers to conveniently perform quantitative modeling and analysis of behavioral data. Additionally, we describe the algorithm of the BCI model and test its stability and reliability via parameter recovery. The present BCI toolbox offers a robust platform for BCI model implementation as well as a hands-on tool for learning and understanding the model, facilitating its widespread use and enabling researchers to delve into the data to uncover underlying cognitive mechanisms.

PMID:38976678 | DOI:10.1371/journal.pcbi.1011791

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Nevin Manimala Statistics

Ultrasound characteristics can predict response to biologics therapy in stricturing Crohn’s disease

Clin Transl Gastroenterol. 2024 Jul 1. doi: 10.14309/ctg.0000000000000738. Online ahead of print.

ABSTRACT

BACKGROUND: Stricture is a common complication in Crohn’s disease (CD). Accurate identification of strictures that poorly respond to biologic therapy is essential for making optimal therapeutic decisions. This study aimed to determine the association between ultrasound characteristics of strictures and their therapeutic outcomes.

METHODS: Consecutive CD patients with symptomatic strictures scheduled for biologic therapy were retrospectively recruited at a tertiary hospital. Baseline intestinal ultrasound was conducted to assess stricture characteristics, including bowel wall thickness, length, stratification, vascularity, and creeping fat wrapping angle. Patients were followed-up for a minimum of one year, during which long-term outcomes including surgery, steroid-free clinical remission, and mucosal healing were recorded. Statistical analyses were performed.

RESULTS: A total of 43 patients were enrolled. Strictures were located in the ileocecal region (39.5%), colon (37.2%), anastomosis (20.9%), and small intestine (2.3%). The median follow-up time was 17 months (IQR 7-25), with 27 (62.8%) patients undergoing surgery. On multivariant analysis, creeping fat wrapping angle > 180° (OR 6.2, 95% CI 1.1-41.1) and a high Limberg score (OR 2.3, 95% CI 1.4-6.0) were independent predictors of surgery, with an area under the curve of 0.771 (95% CI: 0.602-0.940), accuracy of 83.7%, sensitivity of 96.3%, and specificity of 62.5%. On Cox survival analysis, creeping fat > 180° was significantly associated with surgery (HR, 5.2; 95% CI, 1.2-21.8; P=0.03). Additionally, creeping fat was significantly associated with steroid-free clinical remission (P=0.015) and mucosal healing (P=0.06).

CONCLUSION: Intestinal ultrasound characteristics can predict outcomes in patients with stricturing Crohn’s disease who undertook biologic therapy.

PMID:38976327 | DOI:10.14309/ctg.0000000000000738

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Nevin Manimala Statistics

Acute Pouchitis is Common in Pregnant and Post-partum Women

Clin Transl Gastroenterol. 2024 Jul 1. doi: 10.14309/ctg.0000000000000732. Online ahead of print.

ABSTRACT

INTRODUCTION: The impact of pregnancy on the development of pouchitis in women who have undergone total proctocolectomy (TPC) with ileal pouch anal anastomosis (IPAA) for ulcerative colitis (UC) is poorly understood.

METHODS: This was a retrospective study of women with UC who underwent TPC with IPAA and subsequently became pregnant at Mount Sinai Hospital. The primary outcome was acute pouchitis during pregnancy or the post-partum period defined as symptoms of increased stool frequency and urgency treated with antibiotics.

RESULTS: A total of 44 women with 63 pregnancies and complete data were identified. Acute pouchitis occurred in 14 (22.2%) pregnancies in 12 women, and in the post-partum period of 10 (15.9%) pregnancies in 9 women. Acute pouchitis occurred more frequently in women with a prior history of acute pouchitis immediately before, during, or after pregnancy.

CONCLUSIONS: Acute pouchitis was common during pregnancy and the post-partum period, likely due to microbial shifts. Although not statistically significant, these results provide insight into the impact of pregnancy on the risk of pouchitis and establish the framework for pre-conception counseling that focuses on prevention and management of pouchitis during pregnancy.

PMID:38976322 | DOI:10.14309/ctg.0000000000000732

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Nevin Manimala Statistics

A Novel mHealth App for Smokers Living With HIV Who Are Ambivalent About Quitting Smoking: Formative Research and Randomized Feasibility Study

JMIR Form Res. 2024 Jul 8;8:e58063. doi: 10.2196/58063.

ABSTRACT

BACKGROUND: More people who smoke and are living with HIV now die from tobacco-related diseases than HIV itself. Most people are ambivalent about quitting smoking and want to quit someday but not yet. Scalable, effective interventions are needed to motivate and support smoking cessation among people ambivalent about quitting smoking (PAQS) who are living with HIV.

OBJECTIVE: This study aims to develop an app-based intervention for PAQS who are living with HIV and assess its feasibility, acceptability, and potential impact. Results of this study will inform plans for future research and development.

METHODS: In phase 1, PAQS living with HIV (n=8) participated in user-centered design interviews to inform the final intervention app design and recruitment plan for a subsequent randomized pilot study. In phase 2, PAQS living with HIV were randomized to either a standard care control app or a similar experimental app with additional content tailored for PAQS and those with HIV. Participants were followed for 3 months. Feasibility focused on recruitment, retention, and participants’ willingness to install the app. The study was not powered for statistical significance. Indices of acceptability (satisfaction and use) and impact (smoking behavior change and treatment uptake) were assessed via automated data and self-report among those who installed and used the app (n=19).

RESULTS: Recruitment for both study phases was a challenge, particularly via web-based and social media platforms. Enrollment success was greater among people living with HIV recruited from a health care provider and research registry. Once enrolled, retention for the phase 2 randomized study was good; 74% (14/19) of the participants completed the 3-month follow-up. Phase 1 findings suggested that PAQS living with HIV were receptive to using an app-based intervention to help them decide whether, when, and how to stop smoking, despite not being ready to quit smoking. Phase 2 findings further supported this conclusion based on feedback from people who agreed to use an app, but group differences were observed. Indices of acceptability favored the experimental arm, including a descriptively higher mean number of sessions and utilization badges. Similarly, indices of potential impact were descriptively higher in the experimental arm (proportion reducing smoking, making a quit attempt, or calling free tobacco quitline). No participants in either arm quit smoking at the 3-month follow-up.

CONCLUSIONS: On the basis of this formative work, PAQS living with HIV may be receptive to using a mobile health-based app intervention to help them decide whether, when, or how to stop using tobacco. Indices of acceptability and impact indicate that additional research and development are warranted.

TRIAL REGISTRATION: ClinicalTrials.gov NCT05339659; https://clinicaltrials.gov/study/NCT05339659.

PMID:38976321 | DOI:10.2196/58063

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Nevin Manimala Statistics

Association of Social Determinants of Health with the Likelihood of Treatment with Laser Trabeculoplasty in a United States Database

J Glaucoma. 2024 Jul 1. doi: 10.1097/IJG.0000000000002455. Online ahead of print.

ABSTRACT

PRECIS: Among 1,861 adults with ocular hypertension or mild or moderate primary open-angle glaucoma, those with Medicaid or no insurance had a statistically significantly lower likelihood of receiving laser trabeculoplasty compared with those with other insurance.

PURPOSE: To determine whether social determinants of health are associated with undergoing treatment with laser trabeculoplasty (LTP) among individuals with ocular hypertension (OHT) or mild or moderate primary open angle glaucoma (POAG).

METHODS: In this cross-sectional study, we included patients with OHT or mild or moderate POAG from the National Institutes of Health All of Us Research Program, a diverse US nationwide dataset. Logistic regression was performed to study the association between LTP treatment status and seven covariates (diagnosis severity, age, gender, race/ethnicity, income, insurance status, and education).

RESULTS: 1,861 subjects were included (median age of 72 y). In univariable logistic regression, diagnosis severity, older age, higher income, and insurance (non-Medicaid) were associated with LTP treatment. On multivariable logistic regression models, those with mild POAG (OR, 3.49; 95% CI [2.12-5.87]) and moderate POAG (OR, 7.15 [4.49-11.8]) were still more likely than OHT patients to have received LTP. Moreover, compared with participants with Medicaid or no insurance, participants with other insurance (e.g. employer provided, Medicare) were still more likely to have received LTP (OR, 2.24 [1.08-5.29]). There was no significant difference in the LTP treatment likelihood based on race/ethnicity.

CONCLUSIONS: After controlling for confounders, the likelihood of receiving LTP appears to be driven primarily by insurance rather than income or race/ethnicity. Potential reasons for decreased utilization of LTP among Medicaid patients include higher rates of declining the procedure, or LTP may have been offered less frequently due to Medicaid’s lower levels of reimbursement and longer reimbursement delays.

PMID:38976304 | DOI:10.1097/IJG.0000000000002455