Journal: F1000Research

Article Title: Use of ivermectin and factors associated with the prevention and/or treatment of COVID-19: a cross-sectional online survey in the province of Chincha, Peru

doi: 10.12688/f1000research.128675.3

Figure Lengend Snippet: Purpose of use, prescription, and self-medication among participants who used ivermectin (n = 292).

Article Snippet: In the third stage, a bivariate analysis between covariates and ivermectin consumption was performed using the chi-square test.

Techniques:

Journal: F1000Research

Article Title: Use of ivermectin and factors associated with the prevention and/or treatment of COVID-19: a cross-sectional online survey in the province of Chincha, Peru

doi: 10.12688/f1000research.128675.3

Figure Lengend Snippet: Period of consumption (A) and sources of access (B) to ivermectin among the population that took this drug (n = 292) in the province of Chincha, Peru, during the COVID-19 pandemic.

Article Snippet: In the third stage, a bivariate analysis between covariates and ivermectin consumption was performed using the chi-square test.

Techniques:

Journal: F1000Research

Article Title: Use of ivermectin and factors associated with the prevention and/or treatment of COVID-19: a cross-sectional online survey in the province of Chincha, Peru

doi: 10.12688/f1000research.128675.3

Figure Lengend Snippet: Bivariate and logistic regression analysis of the factors associated with the consumption of ivermectin among the population of the province of Chincha, Peru, during the COVID-19 pandemic.

Article Snippet: In the third stage, a bivariate analysis between covariates and ivermectin consumption was performed using the chi-square test.

Techniques: Biomarker Discovery, Infection

Journal: Neuropsychiatric Disease and Treatment

Article Title: The influence of childhood abuse, adult life events, and affective temperaments on the well-being of the general, nonclinical adult population

doi: 10.2147/NDT.S100474

Figure Lengend Snippet: The results of the covariance structure analysis in the structural equation model, using the childhood abuse (CATS), affective temperaments (TEMPS-A), adult life events (LES), positive affect (well-being) ( A ) and negative affect (ill-being) ( B ) (SUBI) scores from 415 subjects from the general, nonclinical adult population. Notes: The rectangles indicate the observed variables and the ovals indicate the latent variables. The arrows with solid lines represent the statistically significant paths, and the broken lines show the nonsignificant paths. The numbers beside the arrows show the standardized path coefficients (minimum −1, maximum 1). * P <0.05, ** P <0.01, *** P <0.001. Abbreviations: CATS, Child Abuse and Trauma Scale; TEMPS-A, Temperament Evaluation of the Memphis, Pisa, Paris, and San Diego Auto-questionnaire; CAI, cyclothymic, anxious, and irritable temperaments; LES, Life Experiences Survey; SUBI, Subjective Well-Being Inventory; RMSEA, Root Mean Square Error of Approximation; CFI, Comparative Fit Index; TLI, Tucker–Lewis Index.

Article Snippet: The statistical analyses were conducted using Mplus version 7.3 for the covariance structure analysis, Excel Statistics for Macintosh (Esumi Co, Ltd, Tokyo, Japan) for the multiple regression analysis, and 4-Steps Excel Statistics (The publisher OMS Ltd., Saitama, Japan) for Spearman’s rank correlation coefficient and the Mann–Whitney U -test.

Techniques: