Reported recommendations to address cardiovascular risk factors differ by socio-economic status in Brazil. Results from the Brazilian National Health Survey 2019.

Background: Management of cardiovascular risk factors (high cholesterol, diabetes, and hypertension) should start by implementing a healthy lifestyle. Whereas lifestyle recommendations are provided irrespective of the patient's socio-economic status has not been recently assessed in the Brazilian population. Aims: To assess the preventive measures against cardiovascular risk factors according to educational level and income in the Brazilian population. Methods: Survey data of the 2019 Brazilian National Health Survey (PNS). The PNS is a nationwide household-based survey carried out by the Brazilian Ministry of Health. The PNS included face-to-face interviews and collected information on lifestyle management of high cholesterol, diabetes, and hypertension by a healthy diet, an adequate weight, exercise, and quitting smoking. The participant's educational level and income (in multiples of the basic salary per capita) was collected. Results: Of the 88,052 participants included, 13,151 (14.9%), 6,986 (7.9%) and 22,516 (25.6%) reported being diagnosed with high cholesterol, diabetes, or hypertension, respectively. Dietary recommendations were the most frequently provided (94.5%, 94.6% and 88.1% for high cholesterol diabetes, and hypertension, respectively), while recommendations to quit smoking to current smokers were the least frequently provided (74.9%, 85.8% and 81.1% for high cholesterol, diabetes, and hypertension, respectively). After multivariable adjustment, participants with a higher educational level or a higher income had a higher likelihood of reporting receipt lifestyle recommendations for high cholesterol or hypertension, while no associations were found for most recommendations for diabetes. Conclusion: Better-educated, wealthier Brazilians report receiving more lifestyle recommendations regarding high cholesterol and hypertension management more frequently than lower-educated or with low-income.

Vitamin D Levels Are Associated with Cardiovascular Disease Events but Not with Cardiovascular Disease or Overall Mortality: A Prospective Population-Based Study.

(1) Background: A recent review concluded that there was no strong evidence for beneficial vitamin D effects on cardiovascular disease (CVD) risk, but whether individuals with vitamin D deficiency have a higher risk of CVD should be further studied. (2) Aims: We assessed the association between vitamin D levels and CVD events, CVD mortality, and overall mortality in a prospective population-based study in Lausanne, Switzerland. (3) Methods: A total of 5684 participants (53.6% women, 52.5 ± 10.7 years) were followed for a median of 14.4 years [interquartile range: 10.7-16.6]. Vitamin D blood levels were categorized as normal (≥75 nmol/L or 30 ng/mL), insufficient (50-74 nmol/L or 21-29 ng/mL), and deficient (<50 nmol/L or 20 ng/mL). (4) Results: In total, 568 cardiovascular events, 114 cardiovascular deaths, and 679 deaths occurred during follow-up. After multivariate analysis, vitamin D levels were negatively associated with CVD events: hazard ratio and (95% confidence interval) for a 10 nmol/L increase: 0.96 (0.92-0.99). However, no association was found for CVD [0.93 (0.84-1.04)] and overall mortality [0.98 (0.94-1.02)]. No associations were found between vitamin D categories and CVD events, 0.93 (0.71-1.22) and 1.14 (0.87-1.49); CVD deaths, 0.78 (0.41-1.50) and 1.10 (0.57-2.12); and overall mortality, 1.10 (0.82-1.48); and 1.17 (0.87-1.58) for insufficiency and deficiency, respectively. After excluding participants taking vitamin D supplements, similar results were obtained. (5) Conclusion: In this prospective population-based study, vitamin D levels were inversely associated with CVD events but not with CVD or overall mortality.

High Prevalence of Hypovitaminosis D in Adolescents Attending a Reference Centre for the Treatment of Obesity in Switzerland.

Background: Hypovitaminosis D is common in populations with obesity. This study aimed at assessing (1) the prevalence of hypovitaminosis D and (2) the associations between vitamin D levels and cardiovascular risk factors in adolescents attending a reference centre for the treatment of obesity. Design: Cross-sectional pilot study conducted in the paediatric obesity unit of the Lausanne university hospital, Switzerland. Methods: Participants were considered eligible if they (1) were aged between 10 to 16.9 years and (2) consulted between 2017 and 2021. Participants were excluded if (1) they lacked vitamin D measurements or (2) the vitamin D measurement was performed one month after the base anthropometric assessment. Hypovitaminosis D was considered if the vitamin D level was <30 ng/mL (<75 nmol/L). Severe obesity was defined as a BMI z-score > 3 SD. Results: We included 52 adolescents (31% girls, mean age 13 ± 2 years, 33% with severe obesity). The prevalence of hypovitaminosis D was 87.5% in girls and 88.9% in boys. The vitamin D levels were inversely associated with BMI, Spearman r and 95% CI: −0.286 (−0.555; −0.017), p = 0.037; they were not associated with the BMI z-score: −0.052 (−0.327; 0.224), p = 0.713. The vitamin D levels were negatively associated with the parathormone levels (−0.353 (−0.667; −0.039), p = 0.028) and positively associated with the calcium levels (0.385 (0.061; 0.708), p = 0.020), while no association was found between vitamin D levels and blood pressure and lipid or glucose levels. Conclusion: almost 9 out of 10 adolescents with obesity in our cohort presented with hypovitaminosis D. Hypovitaminosis D does not seem to be associated with a higher cardiovascular risk profile in this group.

Vitamin D and Weight Change: A Mendelian Randomization, Prospective Study.

The association between 25-hydroxyvitamin D and 5-, 10-, or 15-year weight change were assessed in a population-based, prospective study conducted in Lausanne, Switzerland. Data from the first (2009−2012, N = 3527, 51.3% women), second (2014−2017, N = 3237, 53.8% women), and third (2018−2021, N = 2567, 54.2% women) follow-ups were used. A weighted genetic risk score (GRS) of 115 SNPs associated with vitamin D levels was constructed. At baseline, the GRS correlated positively with 25-hydroxyvitamin D levels based on a Spearman rank correlation and 95% confidence interval: 0.198 (0.166; 0.231), p < 0.001; and with body mass index: 0.036 (0.004; 0.068), p = 0.028. No association was found between quartiles of GRS and weight changes at 5, 10, or 15 years: multivariate-adjusted weight changes ± SEM at 5-years follow-up were 1.39 ± 0.17, 1.13 ± 0.17, 1.24 ± 0.17, and 1.00 ± 0.17 kg for the first to the fourth quartile of the GRS, respectively (p = 0.401). Two-step linear regression showed a significant but clinically meaningless association between GRS-derived vitamin D and weight change at 5- and 15-years: slope and 95% confidence interval for a 5 nmol/L increase in GRS-derived 25-hydroxyvitamin D levels: 0.082 (0.013; 0.150) and 0.130 (0.018; 0.243) kg, respectively. We conclude that there is little association between genetically determined 25-hydroxyvitamin D levels and weight gain.

Association between anthropometric markers of adiposity, adipokines and vitamin D levels.

Inverse association between serum levels of vitamin D and obesity has been pointed out in several studies. Our aim was to identify to the associations between vitamin D levels and a large panel of anthropometric markers and adipokines. Cross-sectional study including 6485 participants. Anthropometric markers included body mass index (BMI), % body fat, waist, waist-to-hip (WHR), waist-to-height (WHtR), conicity index, body roundness index (BRI) and a body shape index (ABSI). 55.7% of women and 60.1% of men presented with vitamin D deficiency. Vitamin D levels were negatively associated with most anthropometric markers, with correlation coefficients ranging between -0.017 (ABSI) and -0.192 (BMI) in women and between -0.026 (weight) and -0.130 (% body fat) in men. Vitamin D levels were inversely associated with leptin levels in both sexes and positively associated with adiponectin levels in women only. The likelihood of vitamin D deficiency increased with increasing adiposity levels, except for ABSI (women) and BMI (men). Total body fat, rather than localized or unevenly distributed body fat, is the adiposity marker most associated with decreased vitamin D levels. Monitoring vitamin D levels in people with overweight/obesity is essential.

No Association between Vitamin D and Weight Gain: A Prospective, Population-Based Study.

BACKGROUND: The association between vitamin D and weight gain remains controversial due to important limitations in the studies. We investigated the relationship between vitamin D levels and 5 and 10 years of weight and waist circumference change in a population-based prospective cohort study. METHODS: Prospective study including participants aged between 35 and 75 years living in the city of Lausanne, Switzerland. Weight and waist change at 5- and 10-year follow-up were assessed according to baseline vitamin D status (normal, insufficiency and deficiency). RESULTS: A total of 3638 participants (47.9 % women, mean age 51.6 ± 10.4 years) were included for the 5-year follow-up. No association was found between vitamin D categories and weight change, multivariate-adjusted average ± standard error: 1.6 ± 0.3, 1.5 ± 0.2 and 1.2 ± 0.1 kg for normal, insufficiency and deficiency, respectively, p = 0.159. For waist change, the corresponding values were 3.3 ± 0.4, 3.3 ± 0.2 and 3.4 ± 0.2 cm, p = 0.792. For the 10-year follow-up, data from 2999 participants (45.8% women, mean age 50.8 ± 10.3 years) were used. No association was found for weight 2.3 ± 0.4, 2.3 ± 0.2 and 2.0 ± 0.2 kg, p = 0.588, or for waist 3.7 ± 0.4, 3.6 ± 0.3 and 4.2 ± 0.2 cm for normal, insufficiency and deficiency, respectively, p = 0.259. CONCLUSION: No association between vitamin D status and weight or waist gain at 5- and 10-year follow-up was found.

Dietary patterns according to vitamin supplement use. A cross-sectional study in Switzerland.

Background: consumers of dietary supplements (DS) or vitamin-mineral supplements (VMS) have a better health profile than nonconsumers; whether this also applies to healthier dietary patterns has seldom been assessed. We aimed to assess the dietary intake of subjects according to their consumption of DS or VMS. Methods: Cross-sectional, population-based studies conducted in 2009-2012 (3773 participants, 52.4% women, 57.0 ± 10.0 years) and 2014-2017 (2536 participants, 52.4% women, 60.0 ± 10 years) in Lausanne, Switzerland. Dietary intake was assessed via a 97-item food frequency questionnaire. Nutrients, consumption of specific food groups, dietary scores, and compliance with the Swiss nutritional guidelines were compared between VMS/DS consumers and nonconsumers. Results: In 2009-2012, after multivariable adjustment for gender, age, body mass index, education, smoking, country of birth, sedentariness, diet and total energy intake, VMS/DS consumers had a higher score for the "Fruits & vegetables"(-0.09 ± 0.02 vs. 0.15 ± 0.05) dietary pattern and a lower score for the "Fatty & sugary" dietary pattern (0.02 ± 0.02 vs. -0.14 ± 0.04) and had a lower likelihood to comply with the guideline on total fat [odds ratio and 95 %CI: 0.72 (0.57-0.89)] than nonconsumers. In 2014-2017, after multivariable adjustment, no differences (at p < 0.005) were found between VMS/DS consumers and nonconsumers. Conclusion: VMS/DS consumers tend to have healthier dietary choices than nonconsumers. The beneficial effect of VMS and/or DS consumption is decreased, as it does not target subjects who really need them.

Retirement is associated with a decrease in dietary quality.

BACKGROUND AND AIM: Retirement has been associated with changes in dietary intake. We evaluated dietary intake and compliance to dietary guidelines after retirement in a population-based survey. METHODS: Data from a prospective study conducted in Lausanne, Switzerland. Dietary intake was assessed using a validated food frequency questionnaire in 2009-2012 (first survey) and 2014-2017 (second survey). Total energy intake (TEI), macro and micronutrients, foods, dietary scores and compliance to dietary guidelines were assessed. Three approaches were used comparing changes in dietary intake: 1) before and after retiring (paired analysis); 2) in participants who retired with gender- and age-matched participants who did not retire (two-group comparison), and 3) in participants who retired, who did not retire or who were retired at both surveys (analysis of variance). RESULTS: Using the first approach, newly retired participants (n = 215) increased their intake of total (median and [interquartile range]: 15.2 [13.7-17.5] vs. 14.9 [13.3-17.1] % of TEI) and animal (11.1 [9.1-13.0] vs. 10.0 [8.5-12.6] %TEI) protein; total (35.8 [32.1-40.7] vs. 34.6 [30.0-39.1] %TEI), saturated and monounsaturated fat; alcohol; cholesterol; vitamin D and fish, and decreased their intake of vegetable protein; total carbohydrates and monosaccharides, and of the Mediterranean diet score. Those findings were confirmed for total and saturated fat, alcohol, total carbohydrates and monosaccharides; vitamin D and fish intake, and of the Mediterranean diet score in the other two approaches. CONCLUSION: Retirement was associated with an unhealthier dietary intake.

No changes in dietary intake after quitting smoking; a prospective study in Switzerland.

BACKGROUND: After quitting smoking, quitters frequently increase their weight and change their dietary intake. Still, most studies on the topic are over 20 years old and focused on few dietary markers. We analysed the changes in weight and dietary intake after quitting smoking using a large panel of dietary markers. METHODS: Prospective study including 5064 participants, 169 of whom (3.3%) quitted during a median follow-up of 5 years. Dietary intake was assessed using a food frequency questionnaire. Participants were excluded if they lacked dietary data or reported extreme total energy intakes (TEI) < 850 or > 4000 kcal/day. RESULTS: Data from 128 participants (43.8% women, aged 56.0 ± 10.0 years) were used. After quitting smoking, mean weight increased 2.1 ± 0.7 kg; the majority (58%) of the participants gained over 1 kg, and only 7.1% were on a diet to reduce their weight. Total protein intake increased from (median [interquartile range]) 14.4 [12.9-16.4] to 15.1 [13.4-17.9] % of total energy intake (TEI), p = 0.008, while animal protein intake increased from 9.7 [8.0-12.1] to 10.8 [8.5-13.5] %TEI, p = 0.011. Fish intake increased from 27 [17-45] to 37 [19-55] g/day, p = 0.016 and dairy intake decreased from 177 [94-288] to 150 [77-243] g/day, p = 0.009. No other changes were found. Among the 68 (53%) participants who reported time since quitting, quitting for <=1 year led to a decreased consumption of fruits, while the opposite was found for participants who quit for longer than one year. No associations were found between weight or dietary changes and time since quitting. CONCLUSIONS: People who quit smoking tend to gain weight, do not significantly change their dietary intake, and seem to make little effort to prevent weight gain. Systematic dietary support should be provided to all smokers wishing to quit.

Effectiveness of a 16-month multi-component and environmental school-based intervention for recovery of poor income overweight/obese children and adolescents: study protocol of the health multipliers program.

BACKGROUND: Excess of weight is a serious public health concern in almost all countries, afflicting people of different ages and socioeconomic backgrounds. Studies have indicated the need for developing treatment strategies that intervene directly in the obesogenic environment. This study aims to evaluate the effectiveness of a multi-component and environmental school-based intervention, lasting 16 months, on the recovery of the nutritional status of low-income children and adolescents with overweight/ obesity. METHODS/STUDY DESIGN: The study was conducted by the Center for Recovery and Nutritional Education (CREN) in São Paulo, Brazil. Two schools located in poor neighborhoods were selected for the intervention, between March 2016 and June 2017. The participants were all students aged 8 to 12 years from the two participating schools. At the beginning of the intervention, anthropometric measurements were carried out to assess the nutritional status of the students. For convenience, students from one of the schools were considered as the control group, while those from the other school formed the experimental group. The intervention in the experimental group (n = 438) consists of the following weekly activities at school: psychological counseling in groups, theoretical/practical nutrition workshops, and supervised physical education classes. In addition, theoretical and practical educational activities are held regularly for parents, teachers, and cooks. Students with excess of weight (≥1 body mass index [BMI] -for-age Z score, n = 138) received clinical and nutritional care periodically at the outpatient care at CREN. Students enrolled in the control group (n = 353) participated in psychological counseling groups and theoretical/practical nutrition workshops for 6 months held in the school environment to provide motivation to entire classrooms. In the following 10 months, students with excess of weight from the control group (n = 125) were invited to attend the routine outpatient care at CREN. DISCUSSION: This study is the first to assess the effectiveness of a multi-component and environmental school-based intervention for the recovery of low-income, overweight/obese children and adolescents. If positive, the results demonstrate the feasibility for the recovery of excess of weight in populations of similar conditions and age. TRIAL REGISTRATION: Brazilian Registry of Clinical Trials - ReBEC Primary Id Number RBR-9t2jr8 . Registration Date: Nov. 30, 2016. Retrospectively registered. Protocol version: 3.