Plant-Based Diets versus the Mediterranean Dietary Pattern and Their Socio-Demographic Determinants in the Spanish Population: Influence on Health and Lifestyle Habits.

BACKGROUND: Plant-based diets are becoming more and more widespread among the Spanish population, progressively replacing the Mediterranean dietary pattern. Different studies have shown the motivations for adherence to these diets, and others have highlighted some health advantages and disadvantages. PURPOSE OF THE STUDY: Further studies are needed to define the socio-demographic determinants that influence the choice of a plant-based diet and to study the relationship that the choice of dietary pattern has on the health and lifestyle habits of the population. METHODS: A descriptive, cross-sectional study was conducted on the Spanish population. The NutSo-HH questionnaire, developed and validated by the research team, was used to gather socio-demographic, nutritional, social, and lifestyle information through non-probabilistic snowball sampling. RESULTS: The questionnaire was completed by 22,181 Spanish citizens, of whom only 19,211 were of interest to the study. The socio-demographic variables gender, age, educational level, income level, and place of residence do not seem to influence the prevalence of a plant-based diet (n = 1638) compared to a Mediterranean diet (n = 17,573). People following a vegetarian or vegan diet have a lower BMI, and they consume less fried food, fast food, and ultra-processed dishes and fewer energy drinks or sugary beverages. They also do more exercise and sleep longer hours, smoke less, and consume alcohol less frequently. However, there seem to be more diagnosed eating disorders among people who follow a plant-based diet than those who follow a Mediterranean diet. CONCLUSIONS: People who adopt a plant-based diet tend to exhibit healthier lifestyle patterns and consume fewer foods that are detrimental to their health. However, it is essential for such dietary choices to be supervised by healthcare professionals to mitigate the risk of maladaptive behaviors evolving into eating disorders.

Developing and Evaluating a Clinic-Based Decision Aid Delivery System.

Background: Despite evidence of their benefits, decision aids (DAs) have not been widely adopted in clinical practice. Quality improvement methods could help embed DA delivery into primary care workflows and facilitate DA delivery and uptake, defined as reading or watching DA materials. Objectives: 1) Work with clinic staff and providers to develop and test multiple processes for DA delivery; 2) implement a systems approach to measuring delivery and uptake; 3) compare uptake and patient satisfaction across delivery models. Methods: We employed a microsystems approach to implement three DA delivery models into primary care processes and workflows: within existing disease management programs, by physician request, and by mail. We developed a database and tracking tools linked to our electronic health record and designed clinic-based processes to measure uptake and satisfaction. Results: A total of 1144 DAs were delivered. Depending on delivery method, 51% to 73% of patients returned to the clinic within 6 months. Nurses asked 67% to 75% of this group follow-up questions, and 65% to 79% recalled receiving the DA. Among them, uptake was 23% to 27%. Satisfaction among patients who recalled receiving the DA was high. Eighty-two to 93% of patients reported that they liked receiving this patient education information, and 82% to 91% reported that receiving patient education information like this is useful to them. Conclusion: Our results demonstrate the realities of clinical practice. One fourth to one third of patients did not return for a follow-up visit. Although nurses were able to assess uptake in the course of their usual duties, the results did not achieve the standards typically expected of clinical research. Despite these limitations, uptake, though modest, was similar across delivery methods, suggesting that there are multiple strategies for implementing DAs in clinical practice.

Targeted screening of at-risk adults for acute HIV-1 infection in sub-Saharan Africa.

BACKGROUND: Patients with acute HIV-1 infection (AHI) have elevated infectivity, but cannot be diagnosed using antibody-based testing. Approaches to screen patients for AHI are urgently needed to enable counselling and treatment to reduce onward transmission. METHODS: We pooled data from four African studies of high-risk adults that evaluated symptoms and signs compatible with acute retroviral syndrome and tested for HIV-1 at each visit. AHI was defined as detectable plasma viral load or p24 antigen in an HIV-1-antibody-negative patient who subsequently seroconverted. Using generalized estimating equation, we identified symptoms, signs, and demographic factors predictive of AHI, adjusting for study site. We assigned a predictor score to each statistically significant predictor based on its beta coefficient, summing predictor scores to calculate a risk score for each participant. We evaluated the performance of this algorithm overall and at each site. RESULTS: We compared 122 AHI visits with 45 961 visits by uninfected patients. Younger age (18-29 years), fever, fatigue, body pains, diarrhoea, sore throat, and genital ulcer disease were independent predictors of AHI. The overall area under the receiver operating characteristics curve (AUC) for the algorithm was 0.78, with site-specific AUCs ranging from 0.61 to 0.89. A risk score of at least 2 would indicate AHI testing for 5-50% of participants, substantially decreasing the number needing testing. CONCLUSION: Our targeted risk score algorithm based on seven characteristics reduced the number of patients needing AHI testing and had good performance overall. We recommend this risk score algorithm for use by HIV programs in sub-Saharan Africa with capacity to test high-risk patients for AHI.

Fetal electrocardiographic measurements in the assessment of fetal heart rate variability in the antepartum period.

This study examines signal availability in fetal electrocardiogram (FECG) beat-to-beat acquisition and the accuracy of fetal heart rate variability (HRV) analysis in the clinical setting using a commercially available FECG monitor. Signal availability was examined in 130 FECG recordings of 0.3-17.5 h duration collected in 63 fetuses (25th-42nd week of gestation) under uncontrolled conditions. Identification of R-peaks demonstrated a signal loss of 30% ± 24% with 3.6 ± 1.7 signal gaps per minute. Median duration of the gaps within a recording was 1.8 ± 0.2 s. Per hour of recording, 1.8 ± 2.1 episodes of 5 min of uninterrupted data were found. Signal availability improved with gestational age and was poorer in women with high body-mass index. Fetal HRV between weeks 36-42 was examined on the basis of 5 min RR-interval episodes obtained under controlled quiet conditions in 55 FECG compared to 46 high quality fetal magnetocardiograms. There were no differences in RR-interval duration, its standard deviation and low frequency power. However, various measures of short-term HRV were significantly higher in the FECG data: root mean square of successive differences (10.0 ± 1.8 versus 6.6 ± 3.0 ms, p < 0.001, high frequency spectral power (24 ± 12 versus 13 ± 13 ms(2), p < 0.001) and approximate entropy (0.86 ± 0.16 versus 0.73 ± 0.24, p = 0.007). We conclude that, in spite of considerable signal loss, FECG recordings can accurately estimate heart rate and its overall variance. However, measures that quantify short-term beat-to-beat HRV will be compromised due to possible recurring inappropriate detection of single R-peaks.

Development of a protocol for capillary blood glucose testing in nursing home and rehabilitation settings.

OBJECTIVES: To develop an algorithm to standardize capillary blood glucose (CBG) testing in nursing home and rehabilitation patients. DESIGN: Descriptive study in which an interdisciplinary team from a nursing home, a rehabilitation center, and a diabetes mellitus care program developed and tested a protocol to standardize diabetes management parameters and CBG testing frequency. SETTING: Department of Veterans Affairs nursing home and rehabilitation unit. PARTICIPANTS: One hundred one patients admitted to the units during the 6-month study period who had orders for CBG testing. INTERVENTION: Use of a standardized CBG testing protocol. MEASUREMENTS: Use of management goal, use of CBG testing protocol, total CBG tests/month. RESULTS: One hundred one subjects received orders for CBG testing; 72 (72%) received orders for a management goal, and 69 (69%) received orders to use the CBG protocol. Of these 69 patients, 22 met their CBG goals and were advanced to less-frequent CBG testing using the protocol, and 15 did not meet their CBG goals and were not advanced. An additional 15 patients were advanced to less-frequent CBG testing but not using the protocol. In all, 54 of 69 patients (78%) were advanced or could have been advanced by protocol to less-frequent CBG testing. Total CBG testing per month did not change before, during, or after the study period. CONCLUSION: This protocol would be useful in long-term care facilities and in other congregate living settings where patients with diabetes mellitus have staff assisting with their diabetes management. Barriers to successful implementation are discussed.