Tag: pubmed

PLoS One. 2021 Jul 9;16(7):e0254446. doi: 10.1371/journal.pone.0254446. eCollection 2021.

ABSTRACT

INTRODUCTION: From the outset of the COVID-19 pandemic, guidance from WHO has promoted social distancing, wearing face masks, frequent hand washing, and staying-at-home as measures to prevent the spread of COVID-19. For many across Africa, compliance can be difficult. The aim of this study was to 1) understand the impact of student’s household’s ability to comply with COVID-19 mitigation strategies, 2) identify predictors of mitigation strategy compliance, and 3) describe the impact of COVID-19 on household economics, food-security, and mental well-being.

MATERIALS AND METHODS: We conducted an email-based survey among current medical and pharmacy students of the University of Liberia College of Health Sciences between July and October 2020. The questionnaire was designed to explore their household’s ability to comply with current mitigation strategies, as well as the pandemic´s impact on the student’s household’s finances and food security. Descriptive statistics were used to delineate demographic characteristics. Logistic regression was used to model factors associated with ability to comply with COVID-19 mitigation strategies, as well as participant’s food security.

RESULTS: 113 persons responded to the questionnaire. Seventy-six (67∙3%) reported income losses as a result of the pandemic, with 93 (82∙3%) reporting being “somewhat” or “very worried” about their households’ finances. Seventy-seven (68∙1%) participants reported food stocks that were sufficient for one-week or less. Forty (35%) participants reported eating less preferred foods or skipping meals in the past week. Overall, 20 participants (19∙4%) had a positive depression screen.

CONCLUSIONS: Study participants showed mixed results in being able to adhere to national COVID-19 mitigation strategies, with household level stressors experienced around finances and food security. Until Liberia has access to vaccinations for most of its citizens, COVID-19 response measures need to provide social protections that address basic needs (shelter, clothing and food), and which specifically targets food insecurity. Preventative interventions for mental health problems must be incorporated into Liberia’s response to the pandemic.

PMID:34242378 | DOI:10.1371/journal.pone.0254446

PLoS One. 2021 Jul 9;16(7):e0254108. doi: 10.1371/journal.pone.0254108. eCollection 2021.

ABSTRACT

In current clinical settings, typically pain is measured by a patient’s self-reported information. This subjective pain assessment results in suboptimal treatment plans, over-prescription of opioids, and drug-seeking behavior among patients. In the present study, we explored automatic objective pain intensity estimation machine learning models using inputs from physiological sensors. This study uses BioVid Heat Pain Dataset. We extracted features from Electrodermal Activity (EDA), Electrocardiogram (ECG), Electromyogram (EMG) signals collected from study participants subjected to heat pain. We built different machine learning models, including Linear Regression, Support Vector Regression (SVR), Neural Networks and Extreme Gradient Boosting for continuous value pain intensity estimation. Then we identified the physiological sensor, feature set and machine learning model that give the best predictive performance. We found that EDA is the most information-rich sensor for continuous pain intensity prediction. A set of only 3 features from EDA signals using SVR model gave an average performance of 0.93 mean absolute error (MAE) and 1.16 root means square error (RMSE) for the subject-independent model and of 0.92 MAE and 1.13 RMSE for subject-dependent. The MAE achieved with signal-feature-model combination is less than 1 unit on 0 to 4 continues pain scale, which is smaller than the MAE achieved by the methods reported in the literature. These results demonstrate that it is possible to estimate pain intensity of a patient using a computationally inexpensive machine learning model with 3 statistical features from EDA signal which can be collected from a wrist biosensor. This method paves a way to developing a wearable pain measurement device.

PMID:34242325 | DOI:10.1371/journal.pone.0254108

PLoS One. 2021 Jul 9;16(7):e0254090. doi: 10.1371/journal.pone.0254090. eCollection 2021.

ABSTRACT

To those involved in discussions about rigor, reproducibility, and replication in science, conversation about the “reproducibility crisis” appear ill-structured. Seemingly very different issues concerning the purity of reagents, accessibility of computational code, or misaligned incentives in academic research writ large are all collected up under this label. Prior work has attempted to address this problem by creating analytical definitions of reproducibility. We take a novel empirical, mixed methods approach to understanding variation in reproducibility discussions, using a combination of grounded theory and correspondence analysis to examine how a variety of authors narrate the story of the reproducibility crisis. Contrary to expectations, this analysis demonstrates that there is a clear thematic core to reproducibility discussions, centered on the incentive structure of science, the transparency of methods and data, and the need to reform academic publishing. However, we also identify three clusters of discussion that are distinct from the main body of articles: one focused on reagents, another on statistical methods, and a final cluster focused on the heterogeneity of the natural world. Although there are discursive differences between scientific and popular articles, we find no strong differences in how scientists and journalists write about the reproducibility crisis. Our findings demonstrate the value of using qualitative methods to identify the bounds and features of reproducibility discourse, and identify distinct vocabularies and constituencies that reformers should engage with to promote change.

PMID:34242331 | DOI:10.1371/journal.pone.0254090

PLoS One. 2021 Jul 9;16(7):e0254404. doi: 10.1371/journal.pone.0254404. eCollection 2021.

ABSTRACT

Is it possible to achieve a collaboration between Infectious Diseases (ID) Specialists and General Practitioners (GPs) in the management of chronic HIV infection? A cross sectional survey was conducted among People Living with HIV (PLWHIV) attending the outpatient services of four Italian Infectious Diseases Centers to understand to which extent patients trust their GPs and involve them in the management of their chronic condition. Information about level of communication with GPs, subjective perception of the disease, and presence of co-medications were collected and matched with socio-demographic data using χ2statistics. A p<0.05 was considered statistically significant. From December 2019 to February 2020, 672 patients completed the survey, 59% males and 56% >50 years. Overall, 508 patients (76%) had informed GPs about HIV-positivity. Communication of diagnosis was significantly associated with age >50years, lower education level, history of disease >10 years and residency in Northern Italy. The “Undetectable = Untrasmittable” (U = U) concept was investigated as an indirect measure of perceived stigma. 23% of subjects was unaware of its meaning. Despite undetectable status, 50% of PLWHIV found difficult to communicate their condition to GPs, especially married (52% vs 48% of unmarried, p = 0.003), well-educated patients (51% vs 48, p = 0.007), living in Southern vs Northern Italy (52% vs 46%, p< 0.001). More than 75% of the participants consulted the ID specialist for co-medications and DDIs management, often complaining a lack of communication of the former with GPs. Overall, a good level of communication between PLWHIV and GPs was outlined, even if a wider involvement of the latter in HIV care is desirable.

PMID:34242341 | DOI:10.1371/journal.pone.0254404

PLoS One. 2021 Jul 9;16(7):e0254178. doi: 10.1371/journal.pone.0254178. eCollection 2021.

ABSTRACT

Boosting techniques from the field of statistical learning have grown to be a popular tool for estimating and selecting predictor effects in various regression models and can roughly be separated in two general approaches, namely gradient boosting and likelihood-based boosting. An extensive framework has been proposed in order to fit generalized mixed models based on boosting, however for the case of cluster-constant covariates likelihood-based boosting approaches tend to mischoose variables in the selection step leading to wrong estimates. We propose an improved boosting algorithm for linear mixed models, where the random effects are properly weighted, disentangled from the fixed effects updating scheme and corrected for correlations with cluster-constant covariates in order to improve quality of estimates and in addition reduce the computational effort. The method outperforms current state-of-the-art approaches from boosting and maximum likelihood inference which is shown via simulations and various data examples.

PMID:34242316 | DOI:10.1371/journal.pone.0254178

PLoS One. 2021 Jul 9;16(7):e0254185. doi: 10.1371/journal.pone.0254185. eCollection 2021.

ABSTRACT

BACKGROUND: Binge drinking is a pattern of harmful use of alcohol and it is defined as four drinks for women and five drinks for men in about 2 hours. This behavior causes public health problems like damaging different body organs.

OBJECTIVE: To assess binge drinking and associated factors among Bahir Dar University students in Northwest Ethiopia.

METHOD: A cross sectional study was conducted in November 2017. Systematic sampling technique was used to select 422 participants. Structured questionnaire was used to collect data. Linear and Logistic regression models were used to predict the role of explanatory variables on behavioral intention and binge drinking, respectively. Independent variables with a p-value of <0.05 at 95% confidence interval were considered as statistically significant in the final model.

RESULT: A total of 413 students participated in this study and 33.4%(95% CI: 28.3-38.9) were engaged in binge drinking. Experiential attitude, instrumental attitude, and self-efficacy were found to be significant predictors of intention to binge drinking (p<0.05). Experiential attitude, environmental constraint, injunctive norm, and knowledge predictors were significantly associated with binge drinking (p<0.05).

CONCLUSION: Our study indicated that one-third of the students practiced binge drinking. This behavior was associated with experiential attitude, injunctive norm, environmental constraints, and knowledge factors. Additionally, experiential attitude, instrumental attitude, and self-efficacy constructs had explained behavioral intention. This implies focusing on the abovementioned determinant factors is imperative while designing intervention strategy.

PMID:34242321 | DOI:10.1371/journal.pone.0254185

PLoS One. 2021 Jul 9;16(7):e0253968. doi: 10.1371/journal.pone.0253968. eCollection 2021.

ABSTRACT

BACKGROUND: Recently, increasing attention has been paid to the periodontal health of orthodontic patients in the maintenance stage in clinical practice. The focus of this meta-analysis was to compare the effects of vacuum-formed retainers (VFR) and Hawley retainers (HR) on periodontal health, in order to provide a reference for clinical selection.

METHODS: From the establishment of the database until November 2020, a large number of databases were searched to find relevant randomized control trials, including the Cochrane Library databases, Embase, PubMed, Medline via Ovi, Web of Science, Scopus, Grey Literature in Europe, Google Scholar and CNKI. Related literature was manually searched and included in the analysis. Two researchers screened the literature according to relevant criteria. The size of the effect was determined using RevMan5.3 software, and the mean difference and 95% confidence intervals (CI) were used to estimate the results using a random effects model.

RESULTS: This meta-analysis included six randomized controlled trials involving 304 patients. The results of the meta-analysis showed that there was no statistical difference in sulcus probing depth status between the VFR group and the HR group, including at 1, 3, and 6 months. Compared with the VFR group, the HR group showed a lower gingival index at 1 month (mean difference = 0.12, 95%CI: 0.06 to 0.19) and 3 months (mean difference = 0.11, 95%CI: 0.06 to 0.17), while there was no statistically significant difference at 6 months (mean difference = 0.10, 95%CI: -0.07 to 0.27). The plaque index of the HR group also showed a good state at 1 month (mean difference = 0.06, 95%CI: 0.01 to 0.12), 3 months (mean difference = 0.12, 95%CI: 0.08 to 0.16), and 6 months (mean difference = 0.19, 95%CI: 0.09 to 0.29). Subgroup analysis of PLI showed that when all teeth were measured, PLI status was lower in the HR group at 6 months (mean difference = 0.32, 95%CI: 0.18 to 0.46). PLI status was also low for the other teeth group (mean difference = 0.15, 95%CI: 0.08 to 0.22).

CONCLUSION: Our meta-analysis showed that patients using the Hawley retainer had better periodontal health compared with those using vacuum-formed retainers. However, more research is needed to look at the periodontal health of patients using these two retainers.

PMID:34242289 | DOI:10.1371/journal.pone.0253968

PLoS One. 2021 Jul 9;16(7):e0254267. doi: 10.1371/journal.pone.0254267. eCollection 2021.

ABSTRACT

Methylenetetrahydrofolate reductase (MTHFR), a folate-dependent enzyme, is reportedly involved in several cancer types. The MTHFR C677T polymorphism influences many biological processes, including tumorigenesis. However, the association between the MTHFR C677T polymorphism and breast cancer (BC) subtypes is not fully understood. In this study, the MTHFR C677T polymorphism was genotyped in 490 individuals with or without BC from southwestern China. Analysis of the association between the MTHFR C677T polymorphism and BC revealed that there was a significant association between the MTHFR C677T polymorphism and triple-negative breast cancer (TNBC) (OR = 2.83, 95% CI: 1.12-9.51, P = 0.0401). Furthermore, the MTHFR C677T polymorphism can also serve as a protective factor in luminal A breast cancer (OR = 0.57, 95% CI: 0.34-0.94, P = 0.0258). Evaluation of the association between the MTHFR C677T polymorphism and clinical characteristics indicated that people who suffered from hypertension had an increased risk for BC (OR = 2.27; 95% CI: 1.08-4.6; P = 0.0264), especially TNBC (OR = 215.38; 95% CI: 2.45-84430.3; P = 0.0317). Our results suggest that the MTHFR C677T polymorphism is significantly associated with susceptibility to luminal B breast cancer and TNBC.

PMID:34242313 | DOI:10.1371/journal.pone.0254267

PLoS One. 2021 Jul 9;16(7):e0254066. doi: 10.1371/journal.pone.0254066. eCollection 2021.

ABSTRACT

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic continues to be a global threat, with tremendous resources invested into identifying risk factors for severe COVID-19 illness. The objective of this study was to analyze the characteristics and outcomes of male compared to female adults with COVID-19 who required hospitalization within US academic centers.

METHODS: Using the Vizient clinical database, discharge records of adults with a diagnosis of COVID-19 between March 1, 2020 and November 30, 2020 were reviewed. Outcome measures included demographics, characteristics, length of hospital stay, rate of respiratory intubation and mechanical ventilation, and rate of in-hospital mortality of male vs female according to age, race/ethnicity, and presence of preexisting comorbidities.

RESULTS: Among adults with COVID-19, 161,206 were male while 146,804 were female. Adult males with COVID-19 were more likely to have hypertension (62.1% vs 59.6%, p <0.001%), diabetes (39.2% vs 36.0%, p <0.001%), renal failure (22.3% vs 18.1%, p <0.001%), congestive heart failure (15.3% vs 14.6%, p <0.001%), and liver disease (5.9% vs 4.5%, p <0.001%). Adult females with COVID-19 were more likely to be obese (32.3% vs 25.7%, p<0.001) and have chronic pulmonary disease (23.7% vs 18.1%, p <0.001). Gender was significantly different among races (p<0.001), and there was a lower proportion of males versus females in African American patients with COVID-19. Comparison in outcomes of male vs. female adults with COVID-19 is depicted in Table 2. Compared to females, males with COVID-19 had a higher rate of in-hospital mortality (13.8% vs 10.2%, respectively, p <0.001); a higher rate of respiratory intubation (21.4% vs 14.6%, p <0.001); and a longer length of hospital stay (9.5 ± 12.5 days vs. 7.8 ± 9.8 days, p<0.001). In-hospital mortality analyzed according to age groups, race/ethnicity, payers, and presence of preexisting comorbidities consistently showed higher death rate among males compared to females (Table 2). Adult males with COVID-19 were associated with higher odds of mortality compared to their female counterparts across all age groups, with the effect being most pronounced in the 18-30 age group (OR, 3.02 [95% CI, 2.41-3.78]).

CONCLUSION: This large analysis of 308,010 COVID-19 adults hospitalized at US academic centers showed that males have a higher rate of respiratory intubation and longer length of hospital stay compared to females and have a higher death rate even when compared across age groups, race/ethnicity, payers, and comorbidity.

PMID:34242273 | DOI:10.1371/journal.pone.0254066

PLoS One. 2021 Jul 9;16(7):e0254075. doi: 10.1371/journal.pone.0254075. eCollection 2021.

ABSTRACT

BACKGROUND: Undernutrition is responsible for a significant proportion of maternal and child morbidity and mortality. Lactating women are nutritionally vulnerable groups because this period places a high nutritional demand on the mother and leads to nutritional stress. Poor nutrition during lactation has a significant negative consequence to mothers and children’s survival, growth, and development. Therefore this study aimed to assess the nutritional status of lactating mothers and associated factors in pastoral community, Afar region, Ethiopia.

METHODS: A community-based cross-sectional study was conducted from January 5/2020 to February 10/2020, in the Abala district. The data were collected from a sample of 366 lactating mothers whose children aged less than 24 months. Data was collected through face-to-face interviews and anthropometric measurements. Study participants were recruited using a systematic sampling technique. Anthropometric measurements (both body mass index and mid-upper arm circumference) were taken from each mother using calibrated equipment and standardized techniques. Data were entered into Epi-data version 4.2 and exported to SPSS version 22 for analysis. Predictor variables with a P-value < 0.25 at bivariable analysis were candidates for the final model. Statistical significance was declared at P-value of < 0.05 in the multivariable logistic regression.

RESULT: This study showed that 120(32.8%) and 122(33.3%) surveyed mothers were undernourished using a cut-off body mass index <18.5 kg/m2 and mid-upper arm circumference <23 Centimeter, respectively. Lactating mothers who didn’t meet the minimum dietary diversity score were more than five (Adjusted odds ratio (AOR) = 5.103; 95% confidence interval (CI): 2.128, 12.238) times more likely to be undernourished than those who met the minimum dietary diversity score. Mothers with short birth intervals were also more than four (AOR = 4.800; 95% CI: 2.408, 9.567) time more likely to be undernourished.

CONCLUSION: Nearly one-third of lactating mothers were undernourished. Undernutrition among lactating mothers was significantly associated with maternal dietary diversity score and birth interval. Health education on proper and adequate maternal dietary feeding practices, and proper family planning utilization during lactation should be emphasized.

PMID:34242276 | DOI:10.1371/journal.pone.0254075