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Nevin Manimala Statistics

Relationship of spirituality, health engagement, health belief and attitudes toward acceptance and willingness to pay for a COVID-19 vaccine

PLoS One. 2022 Oct 12;17(10):e0274972. doi: 10.1371/journal.pone.0274972. eCollection 2022.

ABSTRACT

PURPOSE: To explore the wider determinant factor of citizens’ spirituality, health engagement, health belief model, and attitudes towards vaccines toward acceptance and willingness to pay for a Coronavirus disease 2019 (COVID-19) vaccination.

METHODS: A community-based cross-sectional online investigation with convenience sampling was utilized to recruit 1423 citizens from 18 districts across Indonesia between December 14, 2020 and January 17, 2021. Descriptive statistics, One-way analysis of variance, Pearson correlation, Independent t-tests, and multiple linear regression were examined.

RESULTS: Spirituality, health engagement and attitude toward vaccines, as well as health beliefs constructs (all scores of perceived benefits and barriers) were significant key factors of acceptance of vaccines. Interestingly, the spirituality, attitude toward vaccine, and health beliefs constructs including perceived susceptibility, and benefits indicated a significantly higher willingness.

CONCLUSIONS: Results demonstrated the utility of spirituality, health engagement, health belief model, and attitudes towards vaccines in understanding acceptance and willingness to pay for a vaccine. Specifically, a key obstacle to the acceptance of and willingness to pay COVID-19 vaccination included a high score of the perceived barrier construct. Moreover, the acceptance of and willingness to pay could be impaired by worries about the side-effects of a COVID-19 vaccination.

PMID:36223417 | DOI:10.1371/journal.pone.0274972

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Nevin Manimala Statistics

Chronic Obstructive Pulmonary Disease Patients With High Peripheral Blood Eosinophil Counts Have Better Predicted Improvement in 6MWD After Rehabilitation: A PRELIMINARY STUDY

J Cardiopulm Rehabil Prev. 2022 Oct 10. doi: 10.1097/HCR.0000000000000726. Online ahead of print.

ABSTRACT

PURPOSE: The objective of this investigation was to determine whether chronic obstructive pulmonary disease (COPD) patients with high blood eosinophil (EOS) counts had better improvement in 6-min walk test (6MWT) after pulmonary rehabilitation (PR).

METHODS: Fifty COPD patients were randomly assigned to either the rehabilitation group (RG) or the control group (CG). Patients in the RG (8 wk PR + routine medication) and the CG (routine medication) were followed for 32 wk. According to the blood EOS level, the RG was divided into an EOS ≥ 200 cells/μL group and EOS < 200 cells/μL group. The 6MWT distance, Borg Scale, and COPD Assessment Test (CAT) were evaluated before intervention and 8 wk and 32 wk later.

RESULTS: After the 8-wk intervention, 37 patients (19 RG/18 CG) completed the study. At 8-wk and 32-wk follow-up from baseline, a statistically significant difference was found between these two groups in the 6MWT, Borg Scale, and CAT. Compared with baseline, the 6MWT in the RG increased 49.1 ± 40.2 m (95% CI, 29.7-68.5, P < .001) at 8 wk and 60.8 ± 42.1 m (95% CI, 40.5-81.6, P < .001) at 32 wk. In addition, the improvement of 6MWT in the EOS ≥ 200 cells/μL RG group was higher than that in the EOS < 200 cells/μL group (40.1 ± 17.6 m, 95% CI, 36.8-43.4; P = .036) at 32-wk follow-up from baseline.

CONCLUSION: An 8-wk PR can improve the exercise capacity of COPD patients, and the benefits persistent for 24 wk. The improvement in the 6MWT was more significant in COPD patients with a high blood EOS count.

PMID:36223406 | DOI:10.1097/HCR.0000000000000726

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Nevin Manimala Statistics

Phenotypic variation in biomass and related traits among four generations advanced lines of Cleome (Gynandropsis gynandra L. (Briq.))

PLoS One. 2022 Oct 12;17(10):e0275829. doi: 10.1371/journal.pone.0275829. eCollection 2022.

ABSTRACT

Gynandropsis gynandra (spider plant) is an African traditional leafy vegetable rich in minerals, vitamins and health-promoting compounds with potential for health promotion, micronutrients supplementation and income generation for stakeholders, including pharmaceutical companies. However, information on biomass productivity is limited and consequently constrains breeders’ ability to select high-yielding genotypes and end-users to make decisions on suitable cultivation and production systems. This study aimed to assess the phenotypic variability in biomass and related traits in a collection of G. gynandra advanced lines to select elite genotypes for improved cultivar development. Seventy-one advanced lines selected from accessions originating from Asia, West Africa, East Africa and Southern Africa were evaluated over two years with two replicates in a greenhouse using a 9 x 8 alpha lattice design. Significant statistical differences were observed among lines and genotype origins for all fourteen biomass and related traits. The results revealed three clusters, with each cluster dominated by lines derived from accessions from Asia (Cluster 1), West Africa (Cluster 2), and East/Southern Africa (Cluster 3). The West African and East/Southern African groups were comparable in biomass productivity and superior to the Asian group. Specifically, the West African group had a low number of long primary branches, high dry matter content and flowered early. The East/Southern African group was characterized by broad leaves, late flowering, a high number of short primary branches and medium dry matter content and was a candidate for cultivar release. The maintenance of lines’ membership to their group of origin strengthens the hypothesis of geographical signature in cleome diversity and genetic driver of the observed variation. High genetic variance, broad-sense heritability and genetic gains showed the potential to improve biomass yield and related traits. Significant and positive correlations among biomass per plant, plant height, stem diameter and leaf size showed the potential of simultaneous and direct selection for farmers’ desired traits. The present results provide insights into the diversity of spider plant genotypes for biomass productivity and represent key resources for further improvement in the species.

PMID:36223403 | DOI:10.1371/journal.pone.0275829

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Nevin Manimala Statistics

Envemind: Accurate Monoisotopic Mass Determination Based On Isotopic Envelope

J Am Soc Mass Spectrom. 2022 Oct 12. doi: 10.1021/jasms.2c00176. Online ahead of print.

ABSTRACT

Nowadays, monoisotopic mass is used as an important feature in top-down proteomics. Knowing the exact monoisotopic mass is helpful for precise and quick protein identification in large protein databases. However, only in spectra of small molecules the monoisotopic peak is visible. For bigger molecules like proteins, it is hidden in noise or undetected at all, and therefore its position has to be predicted. By improving the prediction of the peak, we contribute to a more accurate identification of molecules, which is crucial in fields such as chemistry and medicine. In this work, we present the envemind algorithm, which is a two-step procedure to predict monoisotopic masses of proteins. The prediction is based on an isotopic envelope. Therefore, envemind is dedicated to spectra where we are able to resolve the one dalton separated isotopic variants. Furthermore, only single-molecule spectra are allowed, that is, spectra that do not require prior deconvolution. The algorithm deals with the problem of off-by-one dalton errors, which are common in monoisotopic mass prediction. A novel aspect of this work is a mathematical exploration of the space of molecules, where we equate chemical formulas and their theoretical spectrum. Since the space of molecules consists of all possible chemical formulas, this approach is not limited to known substances only. This makes optimization processes faster and enables to approximate theoretical spectrum for a given experimental one. The algorithm is available as a Python package envemind on our GitHub page https://github.com/PiotrRadzinski/envemind.

PMID:36223196 | DOI:10.1021/jasms.2c00176

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Nevin Manimala Statistics

The Use of Close Friends on Instagram, Help-Seeking Willingness, and Suicidality Among Hong Kong Youth: Exploratory Sequential Mixed Methods Study

J Med Internet Res. 2022 Oct 12;24(10):e37695. doi: 10.2196/37695.

ABSTRACT

BACKGROUND: Social networking sites (SNSs) have gained popularity in recent years for help seeking and self-distress expression among adolescents. Although online suicidal expression is believed to have major benefits, various concerns have also been raised, particularly around privacy issues. Understanding youths’ help-seeking behavior on SNSs is critical for effective suicide prevention; however, most research neglects the impacts of the private SNS context.

OBJECTIVE: This study aims to examine youths’ private SNS use via the new Instagram feature, Close Friends, and its association with both online and offline help-seeking willingness as well as youths’ suicidality.

METHODS: This study employed an exploratory sequential mixed methods approach with a combination of explorative qualitative interviews and a systematic quantitative survey, targeting youth aged 15-19 years in Hong Kong. The motivations for utilizing Close Friends and concerns regarding online expression were addressed in the focus group and individual interviews (n=40). A cross-sectional survey (n=1676) was conducted subsequently with eligible secondary school students to examine the prevalence of Close Friends usage, their online and offline help-seeking willingness, and suicide-related experiences.

RESULTS: A total of 3 primary motives for using Close Friends were identified during interviews, including (1) interaction and help seeking, (2) release of negative emotions, and (3) ventilation and self-expression. Most participants also highlighted the privacy concerns associated with public online communication and the importance of contacting close friends for emotional support. Survey results showed that use of Close Friends was quite prevalent among adolescents (1163/1646, 70.66%), with around 46% (754/1646, 45.81%) of respondents being frequent users. Differences by gender and school academic banding were also revealed. Regarding help-seeking intentions, youths were generally positive about seeking help from peers and friends offline (1010/1266, 79.78%) yet negative about seeking assistance from online friends or professionals with whom they had not yet developed a real-world connection (173/1266, 13.67%). Most notably, frequencies of Close Friends usage were differentially associated with online and offline help-seeking willingness and youths’ suicidality. Compared with nonusers, those who had ever used the feature were more likely to seek offline support (adjusted odds ratios [AORs] 1.82-2.36), whereas heavy use of Close Friends was associated with increased odds of online help-seeking willingness (AOR 1.76, 95% CI 1.06-2.93) and a higher risk of suicidality (AOR 1.53, 95% CI 1.01-2.31).

CONCLUSIONS: The popularity of Close Friends reflects the increasing need for private online expression among youth. This study demonstrates the importance of Close Friends for self-expression and private conversation and inadequacy of peer support for suicidal adolescents. Further research is needed to identify the causal relationship between Close Friends usage and help-seeking willingness to guide the advancement of suicide prevention strategies. Researchers and social media platforms may cooperate to co-design a risk monitoring system tailored to the private SNS context, assisting professionals in identifying youth at risk of suicide.

PMID:36223182 | DOI:10.2196/37695

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Nevin Manimala Statistics

Characteristics of outdoor motorized scooter-related injuries: analysis of data from the electronic Canadian Hospitals Injury Reporting and Prevention Program (eCHIRPP)

Health Promot Chronic Dis Prev Can. 2022 Oct;42(10):450-454. doi: 10.24095/hpcdp.42.10.05.

ABSTRACT

INTRODUCTION: The use of motorized scooters is gaining popularity in Canada and elsewhere. This study aims to summarize characteristics of injuries related to use of motorized scooters using data from the electronic Canadian Hospitals Injury Reporting and Prevention Program (eCHIRPP) and to analyze trends. The eCHIRPP collects information associated with the injury event and clinical information related to treatment (the injured body part, the nature of the injury, injury intent and treatment received) from 11 pediatric and 9 general hospitals across Canada.

RESULTS: A free-text search using keywords identified 523 cases related to motorized scooter injuries between January 2012 and December 2019. Most of the injuries reported were among males (62.7%). Fracture/dislocation was the most frequent injury (36.9%), and 14.3% of all patients were admitted to hospital. Joinpoint regression showed a statistically significant increase in injuries related to motorized scooter use between 2012 and 2017 (annual percent change of 18.4%).

CONCLUSION: Study findings indicate the need for continued preventive efforts and improved educational messages on safe riding and the importance of the use of protective equipment to prevent injuries among riders.

PMID:36223161 | DOI:10.24095/hpcdp.42.10.05

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Nevin Manimala Statistics

Impact of staffing on the results of treatment among surgical patients. Statistical study

Khirurgiia (Mosk). 2022;(10):15-20. doi: 10.17116/hirurgia202210115.

ABSTRACT

OBJECTIVE: To study the influence of staffing index on the results of surgical treatment.

MATERIAL AND METHODS: The study was based on the data of surgical service in the Russian Federation upon 2018 (A.Sh. Revishvili et al., 2019). Correlation and regression analysis was carried out using the Microsoft Excel 2019 software. To assess between-group differences, we analyzed odds ratio (OR) and contingency table using χ2 test.

RESULTS: Correlation and regression analysis revealed strong direct functional relationships (r=0.889) between the staffing of surgical service and in-hospital mortality rates. We distinguished 3 formalized levels of surgical staffing (high, medium and low). Gradation of these categories depends on the annual average reference indicator of staffing (88.4% in 2018). In high level of surgical staffing (≥88.4%), in-hospital mortality was 2.19%. Low level of surgical staffing (<88.4%) is accompanied by in-hospital mortality of 2.65% (OR 0.83; 95% CI 0.81-0.84; p<0.05).

CONCLUSION: We confirmed the hypothesis about correlation of in-hospital mortality and staffing of surgical personnel. Validation of scientific data requires further studies with multivariate analysis of various covariates. Long-term prospects of surgical personnel policy in Russia are associated with formulation of specific tasks for surgical services at each level of surgical care.

PMID:36223145 | DOI:10.17116/hirurgia202210115

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Use of and Retention on Video, Telephone, and In-Person Buprenorphine Treatment for Opioid Use Disorder During the COVID-19 Pandemic

JAMA Netw Open. 2022 Oct 3;5(10):e2236298. doi: 10.1001/jamanetworkopen.2022.36298.

ABSTRACT

IMPORTANCE: The coronavirus disease 2019 (COVID-19) pandemic prompted policy changes to allow increased telehealth delivery of buprenorphine, a potentially lifesaving medication for opioid use disorder (OUD). It is unclear how characteristics of patients who access different treatment modalities (in-person vs telehealth, video vs telephone) vary, and whether modality is associated with retention-a key indicator of care quality.

OBJECTIVES: To compare patient characteristics across receipt of different treatment modalities and to assess whether modality was associated with retention during the year following COVID-19-related policy changes.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study was conducted in the national Veterans Health Administration. Participants included patients who received buprenorphine for OUD during March 23, 2020, to March 22, 2021. Analyses examining retention were stratified by buprenorphine initiation time (year following COVID-19-related changes; prior to COVID-19-related changes).

EXPOSURES: Patient characteristics; treatment modality (at least 1 video visit, at least 1 telephone visit but no video, only in-person).

MAIN OUTCOMES AND MEASURES: Treatment modality; 90-day retention.

RESULTS: Among 17 182 patients, 7094 (41.3%) were aged 30 to 44 years and 6251 (36.4%) were aged 45 to 64 years; 15 835 (92.2%) were male, 14 085 (82.0%) were White, and 16 292 (94.8%) were non-Hispanic; 6547 (38.1%) had at least 1 video visit, 8524 (49.6%) had at least 1 telephone visit but no video visit, and 2111 (12.3%) had only in-person visits. Patients who were younger, male, Black, unknown race, Hispanic, non-service connected, or had specific mental health/substance use comorbidities were less likely to receive any telehealth. Among patients who received telehealth, those who were older, male, Black, non-service connected, or experiencing homelessness and/or housing instability were less likely to have video visits. Retention was significantly higher for patients with telehealth compared with only in-person visits regardless of initiation time (for initiated in year following COVID-19-related changes: adjusted odds ratio [aOR], 1.31; 95% CI, 1.12-1.53; for initiated prior to COVID-19-related changes: aOR, 1.23; 95% CI, 1.08-1.39). Among patients with telehealth, higher retention was observed in those with video visits compared with only telephone for patients who initiated in the year following COVID-19 (aOR, 1.47; 95% CI, 1.26-1.71).

CONCLUSIONS AND RELEVANCE: In this cross-sectional study, many patients accessed buprenorphine via telephone and some were less likely to have any video visits. These findings suggest that discontinuing or reducing telephone access may disrupt treatment for many patients, particularly groups with access disparities such as Black patients and those experiencing homelessness. Telehealth was associated with increased retention for both new and continuing patients.

PMID:36223118 | DOI:10.1001/jamanetworkopen.2022.36298

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[18F]FDG-PET/CT volumetric parameters can predict outcome in untreated mantle cell lymphoma

Leuk Lymphoma. 2022 Oct 12:1-10. doi: 10.1080/10428194.2022.2131415. Online ahead of print.

ABSTRACT

Several studies have shown a strong predictive value for pretreatment [18F]FDG-PET/CT metabolic parameters in different lymphoma subtypes. However, few publications exist concerning the role of metabolic parameters in mantle cell lymphoma (MCL). We retrospectively investigated the prognostic value of baseline metabolic tumor volume (MTV) and lesion dissemination in untreated MCL. We compared it to currently used prognostic factors such as stage, mantle cell lymphoma international prognostic index (MIPI) and KI-67. We report that a higher baseline MTV is a risk factor for worse overall survival (OS), progression-free survival (PFS), and disease-specific survival (DSS) in univariate analysis. In multivariate analysis, MTV was significantly associated with DSS, but not with OS and PFS. We found no correlation between lesion dissemination and outcome. The MIPI score remains the strongest predictor of outcome. These results show that MTV is an important prognostic tool and can improve patient risk stratification at staging of untreated MCL.

PMID:36223113 | DOI:10.1080/10428194.2022.2131415

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Accommodating a Latent XM Interaction in Statistical Mediation Analysis

Multivariate Behav Res. 2022 Oct 12:1-16. doi: 10.1080/00273171.2022.2119928. Online ahead of print.

ABSTRACT

Statistical mediation analysis is used in the social sciences and public health to uncover potential mechanisms, known as mediators, by which a treatment led to a change in an outcome. Recently, the estimation of the treatment-by-mediator interaction (i.e., the XM interaction) has been shown to play a pivotal role in understanding the equivalence between the traditional mediation effects in linear models and the causal mediation effects in the potential outcomes framework. However, there is limited guidance on how to estimate the XM interaction when the mediator is latent. In this article, we discuss eight methods to accommodate latent XM interactions in statistical mediation analysis, which fall in two categories: using structural models (e.g., latent moderated structural equations, Bayesian mediation, unconstrained product indicator method, multiple-group models) or scoring the mediator prior to estimating the XM interaction (e.g., summed scores and factor scores, with and without attenuation correction). Simulation results suggest that finite-sample bias is low, type 1 error rates and coverage of percentile bootstrap confidence intervals and Bayesian credible intervals are close to the nominal values, and statistical power is similar across approaches. The methods are demonstrated with an applied example, syntax is provided for their implementation, and general considerations are discussed.

PMID:36223100 | DOI:10.1080/00273171.2022.2119928