The association between ultra-processed food (UPF) and risk of cardiometabolic disorders is an ongoing concern. Different food processing-based classification systems have originated discrepancies in the conclusions among studies. To test whether the association between UPF consumption and cardiometabolic markers changes with the classification system, we used baseline data from 5636 participants (48.5% female and 51.5% male, mean age 65.1 ± 4.9) of the PREDIMED-Plus (“PREvention with MEDiterranean DIet”) trial. Subjects presented with overweight or obesity and met at least three metabolic syndrome (MetS) criteria. Food consumption was classified using a 143-item food frequency questionnaire according to four food processing-based classifications: NOVA, International Agency for Research on Cancer (IARC), International Food Information Council (IFIC) and University of North Carolina (UNC). Mean changes in nutritional and cardiometabolic markers were assessed according to quintiles of UPF consumption for each system. The association between UPF consumption and cardiometabolic markers was assessed using linear regression analysis. The concordance of the different classifications was assessed with intra-class correlation coefficients (ICC3, overall = 0.51). The highest UPF consumption was obtained with the IARC classification (45.9%) and the lowest with NOVA (7.9%). Subjects with high UPF consumption showed a poor dietary profile. We detected a direct association between UPF consumption and BMI (p = 0.001) when using the NOVA system, and with systolic (p = 0.018) and diastolic (p = 0.042) blood pressure when using the UNC system. Food classification methodologies markedly influenced the association between UPF consumption and cardiometabolic risk markers.
It is important to know the attitudes of students of health sciences (SHSs) towards vaccination since they will be tomorrow’s health professionals. Vaccination is a powerful tool in the fight against COVID-19. The aim of the present, cross-sectional study was to examine how the COVID-19 pandemic has influenced the attitude of SHSs towards vaccination. Data were collected in the form of a questionnaire from all students of nursing, physiotherapy and chiropody matriculated at a Madrid University for the academic year 2019/2020 (i.e., before the start of the pandemic [Q1]), and from all those matriculated for the year 2021/22 (i.e., c18 months after the pandemic was declared [Q2]). A multivariate analysis was performed to identify the influence of sex, degree being studied, course year and the time of answering (Q1 or Q2), on the dimensions Beliefs, Behaviours and General Attitude. Overall, 1894 questionnaires were returned (934 [49.3%] for Q1, and 960 [50.7%] for Q2), of which 70.5% were completed by students of nursing, 14% by students of physiotherapy and 15.4% by those studying chiropody. In Q2, the results for all three dimensions were significantly better (p < 0.05). The most important influencing factors were being a student of nursing, being in the final years of training (years 3 or 4), female gender and answering at the time of Q2. The results obtained are encouraging since student nurses (who showed Q1 and Q2 General Attitude scores of 3.34 and 3.47 (maximum possible 4), respectively [p < 0.05]) are the health professionals of tomorrow most likely to be involved in vaccination programmes.
Vaccination against influenza and SARS-CoV-2 is recommended in health sciences students to reduce the risk of acquiring these diseases and transmitting them to patients. The aim of the study was to evaluate how the pandemic influenced the modification of influenza vaccination coverage during the 2019/2020 and 2021/2022 campaigns and to analyze the vaccination coverage against SARS-CoV-2 in health sciences students. A cross-sectional study was conducted among students of the Faculty of Nursing, Physiotherapy and Podiatry of the Complutense University of Madrid. A questionnaire was administered in two stages, the first, Q1, before the start of the pandemic, where we analyzed influenza coverage during the 2019/2020 campaign and a second, Q2, 18 months after the start of the pandemic where we analyzed influenza coverage during the 2021/2022 campaign and coverage against SARS-CoV-2. A total of 1894 students (58.78% of the total of those enrolled) participated. Flu vaccination coverage increased from 26.7% in Q1 to 35.0% in Q2 (p < 0.05), being higher in the age group older than 21 years, who studied nursing, were in their fourth year and lived with people at risk. Vaccination coverage against SARS-CoV-2 was very high (97.8%), especially in students vaccinated against influenza. Coverage of the influenza vaccine in health sciences students increased from 2019–2020 to 2021–2022, being higher in the age group older than 21 years, who studied nursing, were in their first and fourth year and lived with people at risk. Coverage of the SARS-CoV-2 vaccine in health sciences students was very high, especially in those vaccinated against influenza.
The prevalence of overweight and obesity varies significantly according to the criteria used to define overweight and obesity. The percentiles of the Foundation Orbegozo gave the lowest estimates and the standards of growth of the World Health Organization were higher.
Self-perceived health has been used as a good estimator of health status and receiving affection can be a determining factor for good self-perceived health. The aim of the present study was to assess whether lack of social support (measured through Duke scale, which ranges from 11 to 55) was associated with poorer health status measured as self-perceived health, and whether that association was different between women and men. A cross-sectional study was conducted using data from the 2017 Spanish National Health Survey. A descriptive study was performed, and logistic regression models were applied using self-perceived health as a dependent variable. Mean Duke score was 47.6 for men and 47.9 for women (p = 0.016). Moreover, 36.3% of women and 27.6% of men reported poor self-perceived health (p < 0.001). The multivariate analysis revealed that lower scores in Duke-UNC social support scale were associated with poorer health status. That association was higher in women than in men. Poor self-perceived health was also associated with low level of education and obesity, especially among women. There was gender inequality as regards health status associated with lack of social support. These results can help design prevention strategies to improve health.
Background: Adequate eHealth literacy levels empower people to make informed decisions, enhancing their autonomy. The current study assessed a group using primary care services for their eHealth literacy and examined its relationship with sociodemographic characteristics. Methods: Adult patients in need of primary care nursing services participated in this cross-sectional study, which was carried out in a healthcare center in the Madrid region of Spain. Through systematic random sampling, 166 participants were chosen for the study. The eHealth Literacy Questionnaire was used to assess eHealth literacy (eHLQ). Results: The studied population showed higher eHealth literacy scores in dimensions 2 (“understanding of health concepts and language”) and 4 (“feel safe and in control”); the lowest scores were recorded for dimensions 1 (“using technology to process health information”), 3 (“ability to actively engage with digital services”), and 7 (“digital services that suit individual needs”). People with completed secondary education and a better-perceived health status who were younger and employed showed a higher level of eHealth literacy. Conclusions: The findings advance our knowledge of the variables affecting eHealth literacy. We may be able to understand patients’ needs and provide them with greater support if we can pinpoint the areas where they demonstrate the lowest eHealth literacy.
Objectives: to identify anthropometric techniques and measurements related to nursing diagnoses and interventions, included in the NANDA International (NANDA-I) and Nursing Interventions Classification (NIC), respectively. Methods: descriptive study of the revision of the NANDA-I and NIC taxonomies by professors of Nursing of the Universidad Complutense de Madrid. Results: A total of 24 nursing diagnoses, 20 nursing interventions and 71 nursing activities were identified that require the use of anthropometric measurements. Conclusions: anthropometric measurements are necessary in the conduct of numerous nursing diagnoses and nursing interventions that are commonly used in healthcare practice. It would be useful to systematize the use of anthropometric techniques in the application of the nursing process and to standardize this training process.
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