<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>Artículos Enfermería</title>
<link href="https://hdl.handle.net/10259/4999" rel="alternate"/>
<subtitle/>
<id>https://hdl.handle.net/10259/4999</id>
<updated>2026-04-18T13:03:07Z</updated>
<dc:date>2026-04-18T13:03:07Z</dc:date>
<entry>
<title>A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept</title>
<link href="https://hdl.handle.net/10259/7536" rel="alternate"/>
<author>
<name>Ramírez Sanz, José Miguel</name>
</author>
<author>
<name>Garrido Labrador, José Luis</name>
</author>
<author>
<name>Olivares Gil, Alicia</name>
</author>
<author>
<name>García Bustillo, Álvaro</name>
</author>
<author>
<name>Arnaiz González, Álvar</name>
</author>
<author>
<name>Diez Pastor, José Francisco</name>
</author>
<author>
<name>Jahouh, Maha</name>
</author>
<author>
<name>González Santos, Josefa</name>
</author>
<author>
<name>González Bernal, Jerónimo</name>
</author>
<author>
<name>Allende-Río, Marta</name>
</author>
<author>
<name>Valiñas Sieiro, Florita</name>
</author>
<author>
<name>Trejo Gabriel y Galán, José Mª</name>
</author>
<author>
<name>Cubo Delgado, Esther</name>
</author>
<id>https://hdl.handle.net/10259/7536</id>
<updated>2023-04-18T10:42:52Z</updated>
<published>2023-02-01T00:00:00Z</published>
<summary type="text">A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept
Ramírez Sanz, José Miguel; Garrido Labrador, José Luis; Olivares Gil, Alicia; García Bustillo, Álvaro; Arnaiz González, Álvar; Diez Pastor, José Francisco; Jahouh, Maha; González Santos, Josefa; González Bernal, Jerónimo; Allende-Río, Marta; Valiñas Sieiro, Florita; Trejo Gabriel y Galán, José Mª; Cubo Delgado, Esther
The consolidation of telerehabilitation for the treatment of many diseases over the last&#13;
decades is a consequence of its cost-effective results and its ability to offer access to rehabilitation in&#13;
remote areas. Telerehabilitation operates over a distance, so vulnerable patients are never exposed to&#13;
unnecessary risks. Despite its low cost, the need for a professional to assess therapeutic exercises&#13;
and proper corporal movements online should also be mentioned. The focus of this paper is on&#13;
a telerehabilitation system for patients suffering from Parkinson’s disease in remote villages and&#13;
other less accessible locations. A full-stack is presented using big data frameworks that facilitate&#13;
communication between the patient and the occupational therapist, the recording of each session,&#13;
and real-time skeleton identification using artificial intelligence techniques. Big data technologies are&#13;
used to process the numerous videos that are generated during the course of treating simultaneous&#13;
patients. Moreover, the skeleton of each patient can be estimated using deep neural networks for&#13;
automated evaluation of corporal exercises, which is of immense help to the therapists in charge of&#13;
the treatment programs.
</summary>
<dc:date>2023-02-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>EVIDENT smartphone app, a new method for the dietary record: comparison with a food frequency questionnaire</title>
<link href="https://hdl.handle.net/10259/5202" rel="alternate"/>
<author>
<name>Recio Rodríguez, José I.</name>
</author>
<author>
<name>Rodríguez Martín, Carmela</name>
</author>
<author>
<name>González Sánchez, Jesús</name>
</author>
<author>
<name>Rodríguez Sánchez, Emiliano</name>
</author>
<author>
<name>Martín Borras, Carme</name>
</author>
<author>
<name>Martínez Vizcaino, Vicente</name>
</author>
<author>
<name>Arietaleanizbeaskoa, María Soledad</name>
</author>
<author>
<name>Magdalena González, Olga</name>
</author>
<author>
<name>Fernández Alonso, Carmen</name>
</author>
<author>
<name>Maderuelo Fernández, José A.</name>
</author>
<author>
<name>Gómez Marcos, Manuel A.</name>
</author>
<author>
<name>García Ortiz, Luis</name>
</author>
<author>
<name>On Behalf of the EVIDENT Investigators</name>
</author>
<id>https://hdl.handle.net/10259/5202</id>
<updated>2021-11-10T09:53:33Z</updated>
<published>2019-02-01T00:00:00Z</published>
<summary type="text">EVIDENT smartphone app, a new method for the dietary record: comparison with a food frequency questionnaire
Recio Rodríguez, José I.; Rodríguez Martín, Carmela; González Sánchez, Jesús; Rodríguez Sánchez, Emiliano; Martín Borras, Carme; Martínez Vizcaino, Vicente; Arietaleanizbeaskoa, María Soledad; Magdalena González, Olga; Fernández Alonso, Carmen; Maderuelo Fernández, José A.; Gómez Marcos, Manuel A.; García Ortiz, Luis; On Behalf of the EVIDENT Investigators
Background: More alternatives are needed for recording people’s normal diet in different populations, especially adults or the&#13;
elderly, as part of the investigation into the effects of nutrition on health.&#13;
Objective: The aim of this study was to compare the estimated values of energy intake, macro- and micronutrient, and alcohol&#13;
consumption gathered using the EVIDENT II smartphone app against the data estimated with a food frequency questionnaire&#13;
(FFQ) in an adult population aged 18 to 70 years.&#13;
Methods: We included 362 individuals (mean age 52 years, SD 12; 214/362, 59.1% women) who were part of the EVIDENT&#13;
II study. The participants registered their food intake using the EVIDENT app during a period of 3 months and through an FFQ.&#13;
Both methods estimate the average nutritional composition, including energy intake, macro- and micronutrients, and alcohol.&#13;
Through the app, the values of the first week of food recording, the first month, and the entire 3-month period were estimated.&#13;
The FFQ gathers data regarding the food intake of the year before the moment of interview.&#13;
Results: The intraclass correlation for the estimation of energy intake with the FFQ and the app shows significant results, with&#13;
the highest values returned when analyzing the app’s data for the full 3-month period (.304, 95% CI 0.144-0.434; P&lt;.001). For this period, the correlation coefficient for energy intake is .233 (P&lt;.001). The highest value corresponds to alcohol consumption&#13;
and the lowest to the intake of polyunsaturated fatty acids (r=.676 and r=.155; P&lt;.001), respectively. The estimation of daily&#13;
intake of energy, macronutrients, and alcohol presents higher values in the FFQ compared with the EVIDENT app data. Considering&#13;
the values recorded during the 3-month period, the FFQ for energy intake estimation (Kcal) was higher than that of the app (a&#13;
difference of 408.7, 95% CI 322.7-494.8; P&lt;.001). The same is true for the other macronutrients, with the exception g/day of&#13;
saturated fatty acids (.4, 95% CI −1.2 to 2.0; P=.62).&#13;
Conclusions: The EVIDENT app is significantly correlated to FFQ in the estimation of energy intake, macro- and micronutrients,&#13;
and alcohol consumption. This correlation increases with longer app recording periods. The EVIDENT app can be a good&#13;
alternative for recording food intake in the context of longitudinal or intervention studies.&#13;
Trial Registration: ClinicalTrials.gov NCT02016014; http://clinicaltrials.gov/ct2/show/NCT02016014 (Archived by WebCite&#13;
at http://www.webcitation.org/760i8EL8Q).
</summary>
<dc:date>2019-02-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Combined use of smartphone and smartband technology in the improvement of lifestyles in the adult population over 65 years: study protocol for a randomized clinical trial (EVIDENT-Age study)</title>
<link href="https://hdl.handle.net/10259/5096" rel="alternate"/>
<author>
<name>Recio Rodríguez, José I.</name>
</author>
<author>
<name>Lugones Sánchez, Cristina</name>
</author>
<author>
<name>Agudo Conde, Cristina</name>
</author>
<author>
<name>González Sánchez, Jesús</name>
</author>
<author>
<name>Tamayo Morales, Olaya</name>
</author>
<author>
<name>González Sánchez, Susana</name>
</author>
<author>
<name>Fernández Alonso, Carmen</name>
</author>
<author>
<name>Maderuelo Fernández, José A.</name>
</author>
<author>
<name>Mora Simón, Sara</name>
</author>
<author>
<name>Gómez Marcos, Manuel A.</name>
</author>
<author>
<name>Rodríguez Sánchez, Emiliano</name>
</author>
<author>
<name>García Ortiz, Luis</name>
</author>
<id>https://hdl.handle.net/10259/5096</id>
<updated>2022-12-19T13:22:13Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Combined use of smartphone and smartband technology in the improvement of lifestyles in the adult population over 65 years: study protocol for a randomized clinical trial (EVIDENT-Age study)
Recio Rodríguez, José I.; Lugones Sánchez, Cristina; Agudo Conde, Cristina; González Sánchez, Jesús; Tamayo Morales, Olaya; González Sánchez, Susana; Fernández Alonso, Carmen; Maderuelo Fernández, José A.; Mora Simón, Sara; Gómez Marcos, Manuel A.; Rodríguez Sánchez, Emiliano; García Ortiz, Luis
Background&#13;
The increasing use of smartphones by older adults also increases their potential for improving different aspects of health in this population. Some studies have shown promising results in the improvement of cognitive performance through lifestyle modification. All this may have a broad impact on the quality of life and carrying out daily living activities. The objective of this study is to evaluate the effectiveness of combining the use of smartphone and smartband technology for 3 months with brief counseling on life habits, as opposed to providing counseling only, in increasing physical activity and improving adherence to the Mediterranean diet. Secondary objectives are to assess the effect of the intervention on body composition, quality of life, independence in daily living activities and cognitive performance.&#13;
&#13;
Methods&#13;
This study is a two-arm cluster-randomized trial that will be carried out in urban health centers in Spain. We will recruit 160 people aged between 65 and 80 without cardiovascular disease or cognitive impairment (score in the Mini-mental State Examination ≥24). On a visit to their center, intervention group participants will be instructed to use a smartphone application for a period of 3 months. This application integrates information on physical activity received from a fitness bracelet and self-reported information on the patient’s daily nutritional composition. The primary outcome will be the change in the number of steps measured by accelerometer. Secondary variables will be adherence to the Mediterranean diet, sitting time, body composition, quality of life, independence in daily living activities and cognitive performance. All variables will be measured at baseline and on the assessment visit after 3 months. A telephone follow-up will be carried out at 6 months to collect self-reported data regarding physical activity and adherence to the Mediterranean diet.&#13;
&#13;
Discussion&#13;
Preventive healthy aging programs should include health education with training in nutrition and lifestyles, while stressing the importance of and enhancing physical activity; the inclusion of new technologies can facilitate these goals. The EVIDENT-AGE study will incorporate a simple, accessible intervention with potential implementation in the care of older adults.
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Effectiveness of a multifactorial intervention in increasing adherence to the mediterranean diet among patients with diabetes mellitus type 2: a controlled and randomized study (EMID Study)</title>
<link href="https://hdl.handle.net/10259/5052" rel="alternate"/>
<author>
<name>Alonso Domínguez, Rosario</name>
</author>
<author>
<name>García Ortiz, Luis</name>
</author>
<author>
<name>Patino Alonso, Maria Carmen .</name>
</author>
<author>
<name>Sánchez Aguadero, Natalia .</name>
</author>
<author>
<name>Gómez Marcos, Manuel A.</name>
</author>
<author>
<name>Recio Rodríguez, José I.</name>
</author>
<id>https://hdl.handle.net/10259/5052</id>
<updated>2021-11-10T09:53:33Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Effectiveness of a multifactorial intervention in increasing adherence to the mediterranean diet among patients with diabetes mellitus type 2: a controlled and randomized study (EMID Study)
Alonso Domínguez, Rosario; García Ortiz, Luis; Patino Alonso, Maria Carmen .; Sánchez Aguadero, Natalia .; Gómez Marcos, Manuel A.; Recio Rodríguez, José I.
The Mediterranean diet (MD) is recognized as one of the healthiest dietary patterns and has&#13;
benefits such as improving glycaemic control among patients with type 2 diabetes (T2DM). Our aim is&#13;
to assess the effectiveness of a multifactorial intervention to improve adherence to theMD, diet quality&#13;
and biomedical parameters. The EMID study is a randomized and controlled clinical trial with two&#13;
parallel groups and a 12-month follow-up period. The study included 204 subjects between 25–70 years&#13;
with T2DM. The participants were randomized into intervention group (IG) and control group (CG).&#13;
Both groups received brief advice about healthy eating and physical activity. The IG participants&#13;
additionally took part in a food workshop, five walks and received a smartphone application for three&#13;
months. The population studied had a mean age of 60.6 years. At the 3-month follow-up visit, there&#13;
were improvements in adherence to the MD and diet quality of 2.2 and 2.5 points, compared to the&#13;
baseline visit, respectively, in favour of the IG. This tendency of the improvement was maintained,&#13;
in favour of the IG, at the 12-month follow-up visit. In conclusion, the multifactorial intervention&#13;
performed could improve adherence to the MD and diet quality among patients with T2DM.
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
</feed>
