Francisco Álvarez Salvago

Dr. Francisco Álvarez Salvago

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 May 2020 in Journal of Medical Internet Research
Verified
Journal Article
Open access
Mario LozanoMario Lozano
Mario Lozano
Carolina Fernández LaoCarolina Fernández Lao
Carolina Fernández Lao
Irene Cantarero-VillanuevaIrene Cantarero-Villanueva
Irene Cantarero-Villanueva
INIgnacio Noguerol
Ignacio Noguerol
Francisco Álvarez SalvagoFrancisco Álvarez Salvago
Francisco Álvarez Salvago
Noelia Galiano CastilloNoelia Galiano Castillo
Noelia Galiano Castillo
Background: Smartphone-based learning, or mobile learning (m-learning), has become a popular learning-and-teaching strategy in educational environments. Blended learning combines strategies such as m-learning with conventional learning to offer continuous training, anytime and anywhere, via innovative learning activities. Objective: The main aim of this work was to examine the short-term (ie, 2-week) effects of a blended learning method using traditional materials plus a mobile app—the iPOT mobile learning app—on knowledge, motivation, mood state, and satisfaction among undergraduate students enrolled in a health science first-degree program. Methods: The study was designed as a two-armed, prospective, single-blind, randomized controlled trial. Subjects who met the inclusion criteria were randomly assigned to either the intervention group (ie, blended learning involving traditional lectures plus m-learning via the use of the iPOT app) or the control group (ie, traditional on-site learning). For both groups, the educational program involved 13 lessons on basic health science. The iPOT app is a hybrid, multiplatform (ie, iOS and Android) smartphone app with an interactive teacher-student interface. Outcomes were measured via multiple-choice questions (ie, knowledge), the Instructional Materials Motivation Survey (ie, motivation), the Profile of Mood States scale (ie, mood state), and Likert-type questionnaires (ie, satisfaction and linguistic competence). Results: A total of 99 students were enrolled, with 49 (49%) in the intervention group and 50 (51%) in the control group. No difference was seen between the two groups in terms of theoretical knowledge gain (P=.92). However, the intervention group subjects returned significantly higher scores than the control group subjects for all postintervention assessed items via the motivation questionnaire (all P<.001). Analysis of covariance (ANCOVA) revealed a significant difference in the confusion and bewilderment component in favor of the intervention group (P=.01), but only a trend toward significance in anger and hostility as well as total score. The intervention group subjects were more satisfied than the members of the control group with respect to five out of the six items evaluated: general satisfaction (P<.001), clarity of the instructions (P<.01), clarity with the use of the learning method (P<.001), enough time to complete the proposed exercises (P<.01), and improvement in the capacity to learn content (P<.001). Finally, the intervention group subjects who were frequent users of the app showed stronger motivation, as well as increased perception of greater gains in their English-language competence, than did infrequent users. Conclusions: The blended learning method led to significant improvements in motivation, mood state, and satisfaction compared to traditional teaching, and elicited statements of subjective improvement in terms of competence in English. Trial Registration: ClinicalTrials.gov NCT03335397; https://clinicaltrials.gov/ct2/show/NCT03335397

Francisco Álvarez SalvagoFrancisco Álvarez Salvago
Francisco Álvarez Salvago
ALAna Lara-Ramos
Ana Lara-Ramos
Irene Cantarero-VillanuevaIrene Cantarero-Villanueva
Irene Cantarero-Villanueva
MMMaryna Mazheika
Maryna Mazheika
AMAntonio Mundo-López
Antonio Mundo-López
Francisco CordónFrancisco Cordón
Francisco Cordón
Aim: To explore endometriosis-related fatigue (ERF), health-related fitness, sleep quality, and health-related quality of life (HRQoL) in women with endometriosis in comparison with matched controls. Methods: Twenty-five affected women and twenty-five age and height-matched women without endometriosis were included. ERF was assessed through the Piper Fatigue Scale; health-related fitness was assessed through the Schöber, flamingo, and 6-min walking tests and dynamometry; and body composition was assessed through impedanciometry. Self-perceived physical fitness, sleep quality, and HRQoL were assessed through the International Fitness Scale, the Pittsburgh Sleep Quality Index, and the 12-item Short Form Health Survey, respectively. Results: Affected women exhibited higher levels of ERF than controls, increased fat mass, and physical deconditioning (reduced back strength, lumbar flexibility, body balance, and functional capacity, p-values < 0.050). Moreover, cases also had poorer perceived physical fitness, sleep quality, and HRQoL (p-value < 0.050). Finally, we observed deteriorated health-related fitness, sleep quality, and HRQoL in those women with endometriosis with higher levels of ERF. Conclusions: This study constitutes the first evidence that women with endometriosis describe a generalized physical deconditioning, even more pronounced in affected women with higher levels of ERF. Further studies assessing the efficacy of rehabilitation interventions to face these physical impairments in women with endometriosis are warranted.

25 November 2016 in BMC Medical Informatics and Decision Making
Verified
Journal Article
Open access
PDF file
Mario LozanoMario Lozano
Mario Lozano
Lydia Maria Martin MartinLydia Maria Martin Martin
Lydia Maria Martin Martin
Noelia Galiano CastilloNoelia Galiano Castillo
Noelia Galiano Castillo
Francisco Álvarez SalvagoFrancisco Álvarez Salvago
Francisco Álvarez Salvago
Irene Cantarero-VillanuevaIrene Cantarero-Villanueva
Irene Cantarero-Villanueva
MAManuel Arroyo-Morales
Manuel Arroyo-Morales
Technological support using e-health mobile applications (m-health) is a promising strategy to improve the adherence to healthy lifestyles in breast cancer survivors (excess in energy intake or low physical activity are determinants of the risk of recurrence, second cancers and cancer mortality). Moreover, cancer rehabilitation programs supervised by health professionals are needed due to the inherent characteristics of these breast cancer patients. Our main objective is to compare the clinical efficacy of a m-health lifestyle intervention system alone versus an integral strategy to improve Quality of Life in breast cancer survivors. This therapeutic superiority study will use a two-arm, assessor blinded parallel RCT design. Women will be eligible if: they are diagnosed of stage I, II or III-A breast cancer; are between 25 and 75 years old; have a Body Mass Index > 25 kg/m2; they have basic ability to use mobile apps; they had completed adjuvant therapy except for hormone therapy; and they have some functional shoulder limitations. Participants will be randomized to one of the following groups: integral group will use a mobile application (BENECA APP) and will receive a face-to-face rehabilitation (8-weeks); m-health group will use the BENECA app for 2-months and will received usual care information. Study endpoints will be assessed after 8 weeks and 6 months. The primary outcome will be Quality of Life measured by The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core and breast module. The secondary outcomes: body composition; upper-body functionality (handgrip, Disability of the Arm, Shoulder and Hand questionnaire, goniometry); cognitive function (Wechsler Adult Intelligence Scale, Trail Making Test); anxiety and depression (Hospital Anxiety and Depression Scale); physical fitness (Short version of the Minnesota Leisure Time Physical Activity Questionnaire, Self-Efficacy Scale for Physical Activity); accelerometry and lymphedema. This study has been designed to seek to address the new needs for support and treatment of breast cancer survivors, reflecting the emerging need to merge new low cost treatment options with much-needed involvement of health professionals in this type of patients. ClinicalTrials.gov Identifier: NCT02817724 (date of registration: 22/06/2016).

10 March 2020 in Journal of Medical Internet Research
Verified
Journal Article
Open access
Mario LozanoMario Lozano
Mario Lozano
Noelia Galiano CastilloNoelia Galiano Castillo
Noelia Galiano Castillo
Carolina Fernández LaoCarolina Fernández Lao
Carolina Fernández Lao
PPPaula Postigo-Martin
Paula Postigo-Martin
Francisco Álvarez SalvagoFrancisco Álvarez Salvago
Francisco Álvarez Salvago
Irene Cantarero-VillanuevaIrene Cantarero-Villanueva
Irene Cantarero-Villanueva
Background: Generation Z is starting to reach college age. They have adopted technology from an early age and have a deep dependence on it; therefore, they have become more drawn to the virtual world. M-learning has experienced huge growth in recent years, both in the medical context and in medical and health sciences education. Ultrasound imaging is an important diagnosis technique in physiotherapy, especially in sports pathology. M-learning systems could be useful tools for improving the comprehension of ultrasound concepts and the acquisition of professional competencies. Objective: The purpose of this study was to evaluate the efficacy and use of an interactive platform accessible through mobile devices—Ecofisio—using ultrasound imaging for the development of professional competencies in the evaluation and diagnosis of sports pathologies. Methods: Participants included 110 undergraduate students who were placed into one of two groups of a randomized controlled multicenter study: control group (ie, traditional learning) and experimental group (ie, Ecofisio mobile app). Participants’ theoretical knowledge was assessed using a multiple-choice questionnaire (MCQ); students were also assessed by means of the Objective Structured Clinical Examination (OSCE). Moreover, a satisfaction survey was completed by the students. Results: The statistical analyses revealed that Ecofisio was effective in most of the processes evaluated when compared with the traditional learning method: all OSCE stations, P<.001; MCQ, 43 versus 15 students passed in the Ecofisio and control groups, respectively, P<.001. Moreover, the results revealed that the students found the app to be attractive and useful. Conclusions: The Ecofisio mobile app may be an effective way for physiotherapy students to obtain adequate professional competencies regarding evaluation and diagnosis of sports pathologies. Trial Registration: ClinicalTrials.gov NCT04138511; https://clinicaltrials.gov/ct2/show/NCT04138511

RFRaquel Fábrega-Cuadros
Raquel Fábrega-Cuadros
Fidel Hita-ContrerasFidel Hita-Contreras
Fidel Hita-Contreras
Antonio Martínez-AmatAntonio Martínez-Amat
Antonio Martínez-Amat
Jose Daniel Jimenez-GarciaJose Daniel Jimenez-Garcia
Jose Daniel Jimenez-Garcia
AAAlexander Achalandabaso-Ochoa
Alexander Achalandabaso-Ochoa
Agustín Aibar-AlmazánAgustín Aibar-Almazán
Agustín Aibar-Almazán
(1) Background: The aim of this study was to analyze the associations between severity of sarcopenia and health-related quality of life (HRQoL) among community-dwelling middle-aged and older adults. (2) Methods: A cross-sectional study involving 304 older-adult participants was used to assess the severity of sarcopenia by measuring muscle strength (handgrip dynamometer), muscle mass (bioelectrical impedance analysis), and physical performance (Timed Up-and-Go test). The generic 36-item Short-Form Health Survey (SF-36) was used to evaluate HRQoL. Anxiety and depression (Hospital Anxiety and Depression Scale) as well as age were considered as possible confounders. Probable sarcopenia was determined by low muscle strength; confirmed sarcopenia was defined by the presence of both low muscle strength and muscle mass; and severe sarcopenia was defined by low muscle strength and mass along with poor physical performance. (3) Results: The linear regression analysis showed that the presence of probable sarcopenia was associated with the SF-36 domains physical role (adjusted R2 = 0.183), general health (adjusted R2 = 0.290), and social functioning (adjusted R2 = 0.299). As for the SF-36 mental (MCS) and physical (PCS) component summary scores, probable sarcopenia, as well as depression and anxiety, remained associated with MCS (adjusted R2 = 0.518), and these three variables, together with age, were linked to PCS (adjusted R2 = 0.340). (4) Conclusions: Probable sarcopenia, but not confirmed or severe sarcopenia, was independently associated with poor HRQoL. More precisely, it was related to PCS and MCS, as well as to the physical role, general health, and social functioning of SF-36 domains.

Jose Daniel Jimenez-GarciaJose Daniel Jimenez-Garcia
Jose Daniel Jimenez-Garcia
Antonio Martínez-AmatAntonio Martínez-Amat
Antonio Martínez-Amat
Fidel Hita-ContrerasFidel Hita-Contreras
Fidel Hita-Contreras
RFRaquel Fábrega-Cuadros
Raquel Fábrega-Cuadros
Francisco Álvarez SalvagoFrancisco Álvarez Salvago
Francisco Álvarez Salvago
Agustín Aibar-AlmazánAgustín Aibar-Almazán
Agustín Aibar-Almazán
Background: Functional mobility and muscle strength are well known risk factors for sarcopenia. Furthermore, possible associations have been suggested between predisposing factors of sarcopenia and reaction time among the elderly. This study aims to analyze possible associations of functional mobility and muscle strength and reaction times in a population of people aged >60 years. Methods: A total of 290 older people (69.35 ± 5.55 years) participated in this study. The following parameters were assessed: optoacoustic lower-limb reaction time (OALLRT); acoustic lower-limb reaction time (ALLRT); optic lower-limb reaction time (OLLRT, using an optical detection system), functional mobility (through the timed up-and-go test) and muscle strength (using a dynamometer). Results: Our results show that lower values of muscle strength were associated with increased reaction times in OALLRT (β = −0.170; 95% confidence interval −0.011–0.000; R2 = 0.237; p = 0.035) and in ALLRT (β = −0.228; 95% confidence interval −0.011–0.002; R2 = 0.199; p = 0.006). Conclusion: Increased muscle strength (which at low values are risk factors for sarcopenia) was associated with decreased reaction times in people >60 years of age.