Thomas White Michael

Preferred name
Thomas White Michael
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ORCID

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  • Publicacion
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    Efectividad del programa del perdón REACH en universitarios de la selva peruana
    (2023-08-01)
    Jessica Aranda Turpo
    ;
    Jesenia Ramos Huamán
    ;
    ;
    Renzo Felipe Carranza Esteban
    ;
    Resumen: El programa del perdón REACH es un tratamiento viable y basado en evidencias, sin embargo, no ha sido aplicado en participantes hispanohablantes. Por lo tanto, el objetivo del estudio fue determinar la efectividad del programa del perdón REACH sobre la depresión, la ansiedad, el estrés y las motivaciones ante la transgresión interpersonal en universitarios residentes en la selva peruana. El diseño fue experimental, de tipo cuasi-experimental. Participaron 38 universitarios (71.1% mujeres) con edades de 18 a 40 años (M=21, Me= 20,50, DE=4,29), divididos en dos grupos (grupo de intervención, 20; y control, 18). Se utilizó la Escala de Depresión, Ansiedad y Estrés (DASS-21), la escala Transgression-Related Interpersonal Motivations (TRIM-18) y el programa del perdón REACH de Worthington. Los resultados evidenciaron que, en el grupo de tratamiento, se redujeron los síntomas de depresión, ansiedad y estrés. Además de incrementarse el perdón y disminuir la venganza y la evitación hacia el ofensor; no obstante, no hubo diferencias significativas en benevolencia. Mientras que, en el grupo control, no se encontraron diferencias significativas antes y después del tratamiento. Se concluye que el programa del perdón es efectivo para mejorar la salud mental y las relaciones interpersonales de los universitarios participantes.
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    VALIDATION STUDY OF THE SPANISH VERSION OF THE PANDEMIC (COVID-19) ANXIETY TRAVEL SCALE IN PERU
    (2023-10-31)
    Tomás Caycho‐Rodríguez
    ;
    José M. Tomás
    ;
    José Ventura‐León
    ;
    Pablo D. Valencia
    ;
    The COVID-19 pandemic has changed tourists' thoughts, feelings and ways of travelling. In this regard, the aim of the present study was to evaluate the psychometric properties of the Pandemic Anxiety Travel Scale (PATS) using CTT and IRT. A total of 454 participants, with a mean age of 31.4 years (SD = 15.7), completed the PATS, a sociodemographic questionnaire, a measure of perceived health risk, and the Preventive COVID-19 Infection Behaviors Scale. CFA models, Cronbach's alpha and the Composite Reliability Index coefficients were used to estimate reliability. In addition, Item Response Theory (IRT) methods were employed, specifically, the Graded Response Model. The results of the CFA indicated the presence of a single factor for the PATS and high reliability. The IRT results suggest that the PATS items may significantly differentiate responses based on trait level and that a person with low frequency of travel anxiety symptoms during the pandemic will tend to choose the lower response alternatives. Likewise, age, gender, health risk perception, and COVID-19 preventive behaviors significantly predict travel anxiety. In conclusion, the PATS is a brief and reliable measure that appears to be a valid measure of travel anxiety symptoms in the general Peruvian population during the pandemic.
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    COVID-19 vaccination process in Latin America and the Caribbean
    (2022-10-26)
    Tomás Caycho‐Rodríguez
    ;
    Miguel Gallegos
    ;
      3
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    Differential association of SARS-CoV-2 IgG responses with anti-OC43 IgG in a Senegalese cohort
    (2025-04-08)
    Rokhaya Faye
    ;
    Adji Astou Mbow
    ;
    Billo Tall
    ;
    Aboubacry Gaye
    ;
    Amadou Moustapha Ndoye
    Abstract Numerous studies elucidated the kinetics of the humoral immune response post-SARS-CoV-2 infection. However, in sub-Saharan Africa, the evolution of SARS-CoV-2 IgG antibody responses and their interaction with pre-existing seasonal human coronavirus (HCoVs: OC43, 229E, NL63, HKU1) immunity remain underexplored. A prospective cohort study was conducted in Senegal during the first year of the COVID-19 pandemic (March to December 2020). A total of 204 patients with laboratory-confirmed COVID-19 were included. Patients were classified as symptomatic (n=157) or asymptomatic (n=47) based on clinical presentation. Plasma samples (n=705) were collected over 6 months from SARS-CoV-2 positive individuals. IgG levels against SARS-CoV-2 and HCoVs were measured using a multiplex bead-based assay. Among the 204 participants included (95 [46.6%] female, median age, 44 [7–95]), SARS-CoV-2 IgG were detectable 6 months post-infection, peaking at 1 month for most antigens, except for Spike (S), which peaked at 3 months. Elderly patients (>60 years) exhibited higher IgG levels against both SARS- CoV-2 and HCoVs. Symptomatic patients had higher IgG levels than asymptomatic individuals, especially for WTS, RBD, S2, and N. Anti-HCoV IgG levels remained stable post-infection, with OC43 peaking at week 3 in symptomatic patients. A positive correlation was found between anti-SARS-CoV- 2 and anti-OC43 IgG in symptomatic patients. The study highlights persistent SARS-CoV-2 IgG antibodies for up to 6 months and suggests a link between pre-existing HCoV-OC43 immunity and COVID-19 outcomes in Senegal. These findings could help shape future vaccine strategies, considering the influence of circulating HCoVs on long- term protection against SARS-CoV-2. Author summary Understanding how our immune system responds to SARS-CoV-2, the virus responsible for COVID- 19, is essential for guiding public health countermeasures and informing vaccine development strategies. In our study, we monitored, in COVID-19 patients, the evolution of IgG antibody responses against SARS-CoV-2 structural proteins over a six-month period. Additionally, we examined how previous exposure to common seasonal coronaviruses might influence immune responses to SARS-CoV-2. Conducting this research in an African context is particularly important, as data on immune responses to SARS-CoV-2 in this region are scarce. Our results provide valuable insights into the complex interplay between immune responses elicited by SARS-CoV-2 and pre-existing immunity from seasonal circulating coronaviruses. These findings enhance our understanding of immune memory and cross-reactivity, two critical factors for assessing long-term protection and optimizing vaccine strategies. By shedding light on the dynamics of antibody responses over time within a sub-Saharan population, our research contributes to the global effort aimed at developing effective interventions against COVID-19 and preparing for future coronavirus outbreaks.
      1
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    Contributions to the Study of Validity and Reliability of a Nutrition Knowledge Questionnaire in an Adult Student Population
    (2019-03-01)
    Percy G. Ruiz Mamani
    ;
    Renzo Felipe Carranza Esteban
    ;
    Ester Aelín Luque-Bonet
    ;
  • Publicacion
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    Sample size in quantitative instrument-based studies published in Scopus up to 2022: An artificial intelligence aided systematic review
    (2023-11-01)
    Despite their popularity, quantitative instruments like Likert scales struggle with a practical issue for research projects - how many participants have to fill out the instrument? This study started with the data for 31,271 articles downloaded from Scopus and, after exclusions, reviewed the sample size used in 21,506 studies. Scimago highest quartile data was brought in for 1999-2021 and linked to the exported articles. Anthropic's Claude and Claude-Instant AI tools were used to analyze the journal article abstracts and extract the sample size information. Frequency distribution of sample size used are presented. Descriptive statistics such as maximum, average and trimmed averaged sample size values are presented by quartile of the journal where the article was published, range of years when the article was published, 3 common analyses which tend to increase sample size, and two population groups which have been shown to impact sample size. The study concludes with ranges for commonly used sample sizes based on a number of criteria. This is one of the first studies to use AI tools to assist in the analysis for a systematic review study.
      15
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    Análisis psicométrico de una versión reducida de la escala de autoconcepto AF5
    (2021-01-01)
    Renzo Felipe Carranza Esteban
    ;
    Percy G. Ruiz Mamani
    ;
    Óscar Mamani-Benito
    ;
    Ronald M. Hernández
    ;
    Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models.
      1
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    Propiedades de una escala de preocupación por la COVID-19: análisis exploratorio en una muestra peruana
    (2020-07-09)
    Percy G. Ruiz Mamani
    ;
    Wilter C. Morales-García
    ;
    ;
    Mayte S. Marquez-Ruiz
      16
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    COVID-19 contagion concern scale (PRE-COVID-19): Validation in Cuban patients with type 2 diabetes
    (2021-08-13)
    Tomás Caycho‐Rodríguez
    ;
    Lindsey W. Vilca
    ;
    Ibraín Enrique Corrales-Reyes
    ;
    Frank Hernández-García
    ;
    Antonio Pupo Pérez
      4
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    Predictors of mental health during the COVID-19 pandemic in older adults: the role of socio-demographic variables and COVID-19 anxiety
    (2021-06-22)
    Tomás Caycho‐Rodríguez
    ;
    José M. Tomás
    ;
    Lindsey W. Vilca
    ;
    Cirilo Humberto García Cadena
    ;
    Claudio Rojas-Jara
    = .238). Socio-demographic variables explained 50.5% of psychological well-being variance, 52% of anxiety and 46.9% of depression. Also, sex, work; being diagnosed with COVID-19; family member with COVID-19 diagnosis; and time of exposure to COVID-19 information had statistically significant effects psychological well-being, anxiety and depression. In conclusion, some sociodemographic characteristics and COVID-19 anxiety affect the psychological well-being, anxiety and depression. The findings may allow for a better understanding of the mental health of older adults during the COVID-19 pandemic and guide government responses to detect, anticipate and minimize its impact on the mental health of this population.
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