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Adequate dietary strategies are essential for the successful participation in ultra-endurance races. The aim of this study was to evaluate and compare the energy and water intakes of participants during three different mountain ultra-endurance runs. The study took place at the “Ultra Mallorca Serra de Tramuntana” (Mallorca, Spain), an ultra-endurance mountain event with runners participating either in a 44-km (Marathon,n = 51), a 67-km (Trail,n = 109) or a 112-km (Ultra,n = 53) run competition. Participants in the study answered a questionnaire focused on the nutritional intake within an hour after finishing the competition. Mean energy intake during the competitions was 183 kcal · h¯1, with an average carbohydrate intake of 31 g · h¯1(52.1% of participants consumed less than 30 g · h¯1). No significant differences between competitions were found in these parameters. However, a higher percentage of energy from lipids in participants in the Trail and the Ultra was found (P = 0.034). Furthermore, significant differences were observed in water intake per hour of competition (P = 0.039), with the lowest value for the intake during the Ultra competition. In conclusion, the majority of the participants in the study present low carbohydrate intakes. However, fluid intake seems to be adequate. Different distances did not significantly influence the participants’ nutritional strategies. [ABSTRACT FROM PUBLISHER]

Aim To analyse the efficacy of a 12-month multifactorial intervention by primary care nurses in increasing adherence to physical activity prescription (150 min/week) in patients with two or more cardiovascular risk factors and with cardiovascular risk up to 15% determined by the REGICOR equation. Background In Spain, cardiovascular diseases are responsible for 30.5% of deaths. Regular physical activity decreases mortality risk due to cardiovascular diseases but the effectiveness of physical activity prescription in routine in primary care settings has been shown to be low. Design Multicentre, single-blind, parallel randomized (in two different branches) clinical trial. Methods At least 368 participants will be recruited (184 control and 184 intervention), to show an 8% increase in adherence to the physical activity prescription (1.2% control group and 9.2% intervention group). Participants will be patients aged 35-75 years with at least two cardiovascular risk factors and with a cardiovascular risk of up to 15% measured using the Framingham- REGICOR equation. Intervention will be performed throughout baseline and three follow-up visits. A motivational interview, the trans-theoretical stages of changes of Prochaska and DiClemente and an individualized prescription of physical exercise using physical activity assets will be used in the intervention. Data will be collected at baseline and after the 1-year intervention. Discussion The present study will allow us to find out whether this brief multifactorial intervention induces greater adherence to physical activity prescription than usual practice, improving the quality of patient care. Trial Registration International Standard Randomized Controlled Trial Number ( ISRCTN): ISRCTN76069254. Protocol version 1.1, 6 July 2015. [ABSTRACT FROM AUTHOR]

Background: Body fat content and fat distribution or adiposity are indicators of health risk. Several techniques have been developed and used for assessing and/or determining body fat or adiposity. Recently, the Body Adiposity Index (BAI), which is based on the measurements of hip circumference and height, has been suggested as a new index of adiposity. The aim of the study was to compare BAI and BMI measurements in a Caucasian population from a European Mediterranean area and to assess the usefulness of the BAI in men and women separately. Research Methodology/Principal Findings: A descriptive cross-sectional study was conducted in a Caucasian population. All participants in the study (1,726 women and 1,474 men, mean age 39.2 years, SD 10.8) were from Mallorca (Spain). Anthropometric data, including percentage of body fat mass obtained by Bioelectrical Impedance Analysis, were determined. Body Mass Index (BMI) and BAI were calculated. BAI and BMI showed a good correlation (r = 0.64, p<0.001). A strong correlation was also found between BAI and the % fat determined using BIA (r = 0.74, p<0.001), which is even stronger than the one between BMI and % fat (r = 0.54, p<0.001). However, the ROC curve analysis showed a higher accuracy for BMI than for the BAI regarding the discriminatory capacity. Conclusion: The BAI could be a good tool to measure adiposity due, at least in part, to the advantages over other more complex mechanical or electrical systems. Probably, the most important advantage of BAI over BMI is that weight is not needed. However, in general it seems that the BAI does not overcome the limitations of BMI. [ABSTRACT FROM AUTHOR]

The purpose of the present study was to investigate the socio-demographic and lifestyle determinants of physical activity practice, as well as the motivations for being or not being physically active in Spanish university students. A representative sample of students from a Spanish university (n = 2,051; 42.1% males; mean age 21.9, s = 4.8 years) participated in the present cross-sectional study. A questionnaire including questions regarding lifestyle, dietary habits, parents' characteristics, and physical activity habits was administered to the students. The socio-demographic and lifestyle determinants of physical activity practice were assessed using multivariable logistic regression. 68.4% of men and 48.4% of women reported to practise physical activity in the present sample. Those who practised physical activity consumed more fruits and were less likely to be smokers compared to non-physically active students. Also, physically inactive men spent more time in front of the computer and physically inactive women spent more time in front of the TV and were more likely to be frequent alcohol consumers. Maternal educational level and maternal physical activity habits were also important determinants of physical activity practice among men and women respectively. In conclusion, physically active students tended to engage in other healthy habits in the present population, suggesting the clustering of healthy or unhealthy lifestyle factors among specific subgroups. [ABSTRACT FROM AUTHOR]

Lower socio-economic status (SES) is significantly associated with metabolic syndrome (MS) prevalence, possibly affecting women more than men, although evidence in Spain is still limited. The present cross-sectional study analyzed the association between MS and SES by age and gender among 42,146 working adults living in the Balearic Islands (Spain). Prevalence was higher in men (9.4% by ATP-III; 12.3% by IDF) than women (3.8% by ATP-III; 5.7% by IDF) and in the lower social class (7.9% by ATP-III; 10.7% by IDF) than the higher (4.1% by ATP-III; 5.9% by IDF). The SES gradient in MS prevalence was larger in women (PR 95% CI: 3.38, 2.50-4.58 by ATP-III; 3.06, 2.43-3.86 by IDF) than in men (1.23, 1.06-1.41 by ATP-III; 1.15, 1.03-1.30 by IDF) and was already evident from early adulthood, reaching the highest ratio at the late stages of middle adulthood (4.34, 1.11-16.98). Among men, it was significant during the late stages of early adulthood only (1.80, 1.19-2.73). Lower SES influenced MS prevalence in both genders, however, women seemed more affected than men. From a public health perspective, SES could be strongly associated with the burden of MS; in an effort to reduce its prevalence, public health policies should focus on gender differences in socio-economic inequality and consider women with low socio-economic resources as a priority.

Aim: To evaluate the effectiveness of a 12-month multifactorial intervention by primary care nurses using health assets in increasing adherence to physical activity prescription (150 min/week) in patients with two or more cardiovascular risk factors., Background: Physical activity promotion is a priority and helps to decrease mortality risk due to cardiovascular diseases. However, adherence to the habitual physical activity prescription in primary healthcare settings is low., Design: Multicentre, single-blind, parallel randomized (in two different branches) clinical trial., Methods: In total, 263 participants from 20 primary healthcare centres in Mallorca completed the randomized controlled trial study (intervention group N = 128, control group N = 135). The intervention consisted in four visits and included a motivational interview and an individualized prescription of physical activity using health assets. Primary outcome measure was the number of participants performing at least 150 min of weekly physical activity. Secondary outcomes included physical activity level and physical fitness, Sense of Coherence, cardiovascular risk, sociodemographic data, trans-theoretical stage of change, sleep quality, and depression., Results: Adherence to the recommendation of at least 150 min of physical activity was higher in the intervention than in the control group (χ 2  = 3.951, p = .047). However, this higher adherence did not suppose higher physical activity levels because no differences between groups were found in the total physical activity performed after intervention (t=-0.915, p = .361). At the end of the intervention participants randomized to the intervention group spent more time walking than participants in the control group (t = 2.260, p = .025)., Conclusion: The multifactorial intervention performed by primary care nurses induced a higher adherence to the 150-min of weekly physical activity recommendation., Impact: Adherence to the usual physical activity prescription in primary care is low. Physical activity prescription performed by primary care nurses and based on health assets and motivational interview can help to increase physical activity levels of patients. The main finding of the present study was that prescription using this approach was shown to be effective, leading to a higher adherence in the intervention group. This intervention is feasible in the nurse's primary healthcare setting, thus it could be implemented as the main tool when exercise is prescribed., Trial Registration: International Standard Randomized Controlled Trial Number: ISRCTN76069254., (© 2020 John Wiley & Sons Ltd.)

Low-grade chronic inflammation is associated with many chronic diseases and pathological conditions. The aim of the present study was to determine the effect of regular caffeine intake, physical activity levels, and sedentary behavior on the inflammatory status in healthy participants. In total, 112 men and 132 women aged 18 to 55 years and belonging to the staff and student population of the University of the Balearic Islands volunteered to participate in this descriptive cross-sectional study. Plasma concentrations of pro-inflammatory and anti-inflammatory markers were measured. Weight, height, and body composition (bioelectrical impedance) were determined. Caffeine intake, physical activity levels and sitting time, and diet quality were determined using questionnaires. Statistical regression analysis showed that caffeine intake was a negative predictor of C-reactive protein (CRP) ( p = 0.001). Body fat percentage was positively associated with CRP ( p < 0.001) and inversely associated with adiponectin ( p = 0.032) and interleukin (IL)-10 levels ( p = 0.001). Visceral fat was the main predictor for IL-6 ( p < 0.001) and tumor necrosis factor (TNF)-α ( p < 0.001). Sitting time was found to be the main, inverse, predictor for IL-10 ( p < 0.001), and a positive predictor for TNF-α ( p < 0.001). In conclusion, regular caffeine consumption induced very limited anti-inflammatory effects. Sedentary behavior and body fat accumulation induced significant pro-inflammatory effects.

Health-related lifestyles in young adults are a public health concern because they affect the risk for developing noncommunicable diseases. Although unhealthy lifestyles tend to cluster together, most studies have analyzed their effects as independent factors. This study assessed the prevalence, association, and clustering of health-related lifestyles (smoking, alcohol consumption, physical activity, and quality of diet) among university students. This cross-sectional study examined a sample of student participants from the University of the Balearic Islands (n = 444; 67.8% females; mean age: 23.1 years). A self-reported questionnaire was used to assess health-related lifestyles. Men that consumed more alcohol, had less healthy diets, were more likely to be overweight, and performed more physical activity. Women had a higher prevalence of low weight and performed less physical activity. Physical activity had a negative association with time using a computer (OR: 0.85; 95% CI: 0.76, 0.95) and a positive association with adherence to the Mediterranean diet (OR: 1.16; 95% CI: 1.02, 1.32). Adherence to the Mediterranean diet had a negative association with tobacco consumption (OR: 0.52; 95% CI: 0.30, 0.91), and positive associations with having breakfast every day (OR: 1.70; 95% CI: 1.05, 2.76) and consuming more daily meals (OR: 1.43; 95% CI: 1.10, 1.87). Cluster analysis indicated the presence of three distinct groups: Unhealthy lifestyles with moderate risk; unhealthy lifestyles with high risk; and healthy lifestyles with low risk. Health promotion interventions in the university environment that focus on multiple lifestyles could have a greater effect than interventions that target any single lifestyle.

Aims: To test whether communicating cardiovascular diseases (CVD) risk using a novel risk assessment tool (Heart Age) will be able to motivate a population to adopt healthier lifestyles and improve CVD risk profile over the use of a traditional percentage-based tool., Methods: A single-blind randomized intervention study was carried out in a Caucasian population. A total of 3153 subjects were randomly allocated to one of three study groups: control (conventional medical advice was given to the subjects), Framingham REGICOR (10-year percentage risk score, calibrated to Spanish population was given to the subjects), or Heart Age group (Heart Age tool was administered to the subjects). Anthropometrical and metabolic parameters were measured and lifestyle habits were recorded at recruitment and 12-months post intervention., Results: Both the Framingham REGICOR and the Heart Age intervention groups demonstrated significant decreases in their risk scores at post intervention compared to the control group, with the improvement being of a greater magnitude in the Heart Age group. No differences per gender were observed in the Heart Age group., Conclusions: Informing patients about their CVD risk expressed as the new Heart Age tool results in a reduction in their CVD risk higher than the one observed when the Framingham REGICOR risk score was used., (© The European Society of Cardiology 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.)

Background: Several studies have shown a relation between the adipose tissue accumulation and a higher risk for developing metabolic and cardiovascular diseases. Thus, body fat content and, mainly, the fat distribution or adiposity could be considered as important indicators of health risk. In spite of presenting several limitations, BMI is the most widely used and accepted index for classifying overweight and obesity. The aim of the study was to evaluate the correlations between Body Adiposity Index (BAI), BMI and other adiposity indexes such as WC, WHR and WHtR with cardiovascular and metabolic risk factors. Furthermore, the behavior of BAI and BMI regarding the ability to discriminate overweight or obese individuals was also analyzed., Research Methodology/principal Findings: A cross-sectional study was conducted in Spanish Caucasian adult workers. Participants in the study (29.214 men and 21.040 women, aged 20-68 years) were systematically selected during their work health periodic examinations. BAI, BMI, WHR, WHtR, body weight, hip and waist circumference (WC) as well as systolic and diastolic blood pressure were measured. Serum levels of high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), triglycerides (TG) and glucose were also determined. Results of the study indicated that BAI was less correlated with cardiovascular risk factors and metabolic risk factors than other adiposity indexes (BMI, WC and WHtR). The best correlations were found for WHtR. In addition, the BAI presented lower discriminatory capacity than BMI for diagnosing metabolic syndrome (MS) using both IDF and ATP III criteria. A different behavior of the BAI in men and women when considering the ability to discriminate overweight or obese individuals was also observed., Conclusions: The adiposity indexes that include the waist circumference (WHtR and WC) may be better candidates than BAI and BMI to evaluate metabolic and cardiovascular risk in both clinical practice and research.