Effects of Hesperidin Supplementation on Cardiometabolic Markers: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

CONTEXT: Hesperidin is a naturally occurring bioactive compound that may influence cardiometabolic markers, but the existing evidence is inconclusive. OBJECTIVE: This study aims to further investigate the effects of hesperidin supplementation on cardiometabolic markers in adults. DATA SOURCES: A comprehensive search was conducted up to August 2023, utilizing relevant key words in databases such as PubMed, Scopus, Embase, and the Cochrane Central Register of Controlled Trials, focusing on randomized controlled trials (RCTs). DATA EXTRACTION: RCTs that examined the impact of hesperidin on fasting blood sugar (FBS), insulin, quantitative insulin-sensitivity check index (QUICKI), homeostatic model assessment of insulin resistance (HOMA-IR), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), systolic blood pressure (SBP), diastolic blood pressure (DBP), tumor necrosis factor-alpha (TNF-α), and high-sensitivity C-reactive protein (hs-CRP) were selected independently by 2 authors. The GRADE assessment was used to ascertain the certainty of the evidence. Results were pooled using a random-effects model as weighted mean differences and 95% CIs. DATA ANALYSIS: The results of this study demonstrate that hesperidin supplementation had a significant impact on reducing FBS, TG, TC, LDL-C, SBP, and TNF-α. However, there was no significant effect observed on insulin, HOMA-IR, QUICKI, HDL-C, DBP, and hs-CRP. The study's subgroup analyses also revealed that interventions lasting more than 12 weeks were effective in reducing FBS, TG, TC, and LDL-C. Moreover, hesperidin dosage exceeding 500 mg/day showed significance in reducing FBS, TC, and LDL-C levels. CONCLUSION: In conclusion, this research suggests that hesperidin can be consumed as an effective dietary approach to enhance cardiometabolic markers. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration no. CRD42022325775.

Cashew nut (Anacardium occidentale L.) and cashew nut oil reduce cardiovascular risk factors in adults on weight-loss treatment: a randomized controlled three-arm trial (Brazilian Nuts Study).

Introduction: Cashew nut contains bioactive compounds that modulate satiety and food intake, but its effects on body fat during energy restriction remains unknown. This study aimed to assess the effects of cashew nut and cashew nut oil on body fat (primary outcome) as well as adiposity, cardiometabolic and liver function markers (secondary outcomes). Materials and methods: An eight-week (8-wk) randomized controlled-feeding study involved 68 adults with overweight/obesity (40 women, BMI: 33 ± 4 kg/m2). Participants were randomly assigned to one of the energy-restricted (-500 kcal/d) groups: control (CT, free-nuts), cashew nut (CN, 30 g/d), or cashew nut oil (OL, 30 mL/d). Body weight, body composition, and blood collection were assessed at the baseline and endpoint of the study. Results: After 8-wk, all groups reduced significantly body fat (CT: -3.1 ± 2.8 kg; CN: -3.3 ± 2.7 kg; OL: -1.8 ± 2.6 kg), body weight (CT: -4.2 ± 3.8 kg; CN: -3.9 ± 3.1 kg; OL: -3.4 ± 2.4 kg), waist (CT: -5.1 ± 4.6 cm; CN: -3.9 ± 3.9 cm; OL: -3.7 ± 5.3 cm) and hip circumferences (CT: -2.9 ± 3.0 cm; CN: -2.7 ± 3.1 cm; OL: -2.9 ± 2.3 cm). CN-group reduced liver enzymes (AST: -3.1 ± 5.3 U/L; ALT: -6.0 ± 9.9 U/L), while the OL-group reduced LDL-c (-11.5 ± 21.8 mg/dL) and atherogenic index (-0.2 ± 0.5). Both intervention groups decreased neck circumference (CN: -1.0 ± 1.2 cm; OL: -0.5 ± 1.2 cm) and apo B (CN: -6.6 ± 10.7 mg/dL; OL: -7.0 ± 15.3 mg/dL). Conclusion: After an 8-wk energy-restricted intervention, all groups reduced body fat (kg), weight, and some others adiposity indicators, with no different effect of cashew nut or cashew nut oil. However, participants in the intervention groups experienced additional reductions in atherogenic marker, liver function biomarkers, and cardiovascular risk factors (neck circumference and apo B levels), with these effects observed across the OL group, CN group, and both intervention groups, respectively.Clinical trial registration:https://ensaiosclinicos.gov.br/rg/RBR-8xzkyp2, identifier 8xzkyp2.

Correlation of AMH with Cardiometabolic Markers in Polycystic Ovarian Syndrome: Systematic Review and Meta-Analysis.

Objective: The purpose of this systematic review and meta-analysis was to determine whether there is a connection between polycystic ovarian syndrome (PCOS)-affected women's levels of the anti-Mullerian hormone (AMH) and certain cardiometabolic indicators. Materials and Methods: To find pertinent recent research published between 2017 and 2023, a thorough search was done in PubMed. Studies were included if they looked into the relationship between PCOS-related women's AMH levels and cardiometabolic markers. To determine pooled effect estimates, data from the included studies were examined using random-effects models. Results: Five papers were included in the meta-analysis since they satisfied the inclusion requirements. The meta-analysis found substantial positive relationships between AMH levels and markers of insulin resistance, fasting blood sugar levels, and dyslipidemia measures such as total cholesterol (SMD: 0.68, 95% confidence interval: 0.34-1.00, P < 0.001). Conclusion: This systematic review and meta-analysis show that AMH levels in PCOS-affected women significantly positively correlate with markers of insulin resistance, fasting glucose levels, and dyslipidemia parameters. These findings imply that the pathogenesis of the cardiometabolic abnormalities seen in PCOS may include AMH. AMH may be used as a biomarker to estimate the cardiometabolic risk in PCOS-affected women, but more studies are required to determine its clinical applicability.

The Association of Cardiometabolic, Diet and Lifestyle Parameters With Plasma Glucagon-like Peptide-1: An IMI DIRECT Study.

CONTEXT: The role of glucagon-like peptide-1 (GLP-1) in type 2 diabetes (T2D) and obesity is not fully understood. OBJECTIVE: We investigate the association of cardiometabolic, diet, and lifestyle parameters on fasting and postprandial GLP-1 in people at risk of, or living with, T2D. METHODS: We analyzed cross-sectional data from the two Innovative Medicines Initiative (IMI) Diabetes Research on Patient Stratification (DIRECT) cohorts, cohort 1 (n = 2127) individuals at risk of diabetes; cohort 2 (n = 789) individuals with new-onset T2D. RESULTS: Our multiple regression analysis reveals that fasting total GLP-1 is associated with an insulin-resistant phenotype and observe a strong independent relationship with male sex, increased adiposity, and liver fat, particularly in the prediabetes population. In contrast, we showed that incremental GLP-1 decreases with worsening glycemia, higher adiposity, liver fat, male sex, and reduced insulin sensitivity in the prediabetes cohort. Higher fasting total GLP-1 was associated with a low intake of wholegrain, fruit, and vegetables in people with prediabetes, and with a high intake of red meat and alcohol in people with diabetes. CONCLUSION: These studies provide novel insights into the association between fasting and incremental GLP-1, metabolic traits of diabetes and obesity, and dietary intake, and raise intriguing questions regarding the relevance of fasting GLP-1 in the pathophysiology T2D.

Associations of early childhood body mass index trajectories with body composition and cardiometabolic markers at age 10 years: the Ethiopian infant anthropometry and body composition (iABC) birth cohort study.

BACKGROUND: Variability in body mass index (BMI) (kg/m2) trajectories is associated with body composition and cardiometabolic markers in early childhood, but it is unknown how these associations track to later childhood. OBJECTIVES: We aimed to assess associations of BMI trajectories from 0 to 5 y with body composition and cardiometabolic markers at 10 y. METHODS: In the Ethiopian infant anthropometry and body composition (iABC) birth cohort, we previously identified 4 distinct BMI trajectories from 0 to 5 y: stable low BMI (19.2%), normal BMI (48.8%), rapid growth to high BMI (17.9%), and slow growth to high BMI (14.1%). At 10 y, we obtained data from 320 children on anthropometry, body composition, abdominal subcutaneous and visceral fat, and cardiometabolic markers. Associations of BMI trajectories and 10-y outcomes were analyzed using multiple linear regression. RESULTS: Compared with children with the normal BMI trajectory, those with rapid growth to high BMI had 1.7 cm (95% CI: 0.1, 3.3) larger waist circumference and those with slow growth to high had 0.63 kg/m2 (95% CI: 0.09, 1.17) greater fat mass index and 0.19 cm (95% CI: 0.02, 0.37) greater abdominal subcutaneous fat, whereas those with stable low BMI had -0.28 kg/m2 (95% CI: -0.59, 0.03) lower fat-free mass at 10 y. Although the confidence bands were wide and included the null value, children with rapid growth to high BMI trajectory had 48.6% (95% CI: -1.4, 123.8) higher C-peptide concentration and those with slow growth to high BMI had 29.8% (95% CI: -0.8, 69.8) higher insulin and 30.3% (95% CI: -1.1, 71.6) higher homeostasis model assessment of insulin resistance, whereas those with rapid growth to high BMI had -0.23 mmol/L (95% CI: -0.47, 0.02) lower total cholesterol concentration. The trajectories were not associated with abdominal visceral fat, blood pressure, glucose, and other lipids at 10 y. CONCLUSIONS: Children with rapid and slow growth to high BMI trajectories before 5 y tend to show higher measures of adiposity and higher concentrations of markers related to glucose metabolism at 10 y. CLINICAL TRIAL REGISTRY: ISRCTN46718296 (https://www.isrctn.com/ISRCTN46718296).

An Increase in Food Insecurity Correlated with an Increase in Plasma Triglycerides among Latinx Children.

BACKGROUND: Food insecurity and metabolic diseases both disproportionately affect Hispanic children. Cross-sectional studies have linked food insecurity with adverse cardiometabolic markers, including elevated plasma triglycerides and glucose concentrations. However, the association between changes in food insecurity and changes in cardiometabolic markers in children remains to be explored. Furthermore, few studies have assessed the impact of school-based nutrition interventions on household food insecurity. OBJECTIVE: The objectives of this study are to assess the effect of the TX Sprouts intervention on household food insecurity and to examine the association between changes in household food insecurity and changes in cardiometabolic markers over 1 academic year. METHODS: This secondary analysis used data from TX Sprouts, a cluster-randomized school-based gardening, cooking, and nutrition trial. The study enrolled 3rd-5th-grade students from 16 schools that served primarily (>50%) Hispanic families with low income in Austin, TX. Participants (n = 619) provided household food insecurity data and fasting lipid panels at both baseline and postintervention, ∼9 mo following. RESULTS: There was no intervention effect on household food insecurity. Independent of the intervention, a 1-point increase in food insecurity, indicative of becoming more food insecure, was associated with a 2.61 mg/dL increase in triglycerides (P = 0.001; 95% CI: 1.04, 4.19) at follow-up. Children who were food insecure at baseline and became food secure at follow-up had a mean 5.05 mg/dL decrease in triglycerides compared with a 7.50 mg/dL increase in triglycerides in children who remained food insecure throughout (95% CI: -23.40, -1.71, P = 0.023). There were no other associations between changes in food insecurity and cardiometabolic markers. CONCLUSION: Although the intervention did not improve food insecurity, reductions in food insecurity over 9 mo were associated with improved cardiometabolic markers in high-risk children, emphasizing the need for interventions targeting food insecurity. The study is registered at clinicaltrials.gov under NCT02668744 (https://classic. CLINICALTRIALS: gov/ct2/show/NCT02668744).

Effect of camel milk on lipid profile among patients with diabetes: a systematic review, meta-analysis, and meta-regression of randomized controlled trials.

The effects of camel milk (CM) intake on lipid profile among patients with diabetes remain controversial. This systematic review and meta-analysis of randomized controlled trials (RCTs) aimed to calculate the effect size of CM intake on blood lipids among patients with type 1 (T1D) and type 2 (T2D) diabetes. We searched nine databases from inception until December 31, 2022, to identify relevant RCTs. Effect sizes for total cholesterol (TC), triglycerides (TG), low-density lipoprotein (LDL), very low-density lipoprotein (VLDL), and high-density lipoprotein (HDL) were calculated and expressed using mean differences (MD) and confidence intervals (CI). Of 4,054 retrieved articles, 10 RCTs (a total of 347 participants aged 8-70 years, 60.5% male) were eligible for inclusion. The pooled results from a random-effects model showed statistically significant decreases in TC (MD - 21.69, 95% CI: 41.05, - 2.33; p = 0.03; I2=99%), TG (MD - 19.79, 95% CI: -36.16, - 3.42; p=0.02, I2=99%), and LDL (MD -11.92, CI: -20.57, -3.26; p = 0.007, I2=88%), and a significant increase in HDL (MD 10.37, 95% CI, 1.90, 18.84; p=0.02, I2=95%) in patients with diabetes supplemented with CM compared with usual care alone. Subgroup analysis revealed that only long-term interventions (> 6 months) elicited a significant reduction in TC levels and TG levels. Consumption of fresh CM by patients with diabetes resulted in significant reductions in TC, TG, and LDL levels, while showing a significant increase in HDL levels. Patients with T1D elicited a more beneficial effect in lowering TC, LDL, and TG levels and in increasing HDL levels than their corresponding partners with T2D. In conclusion, long-term consumption of CM for patients with diabetes, especially those with T1D, could be a useful adjuvant therapy to improve lipid profile alongside prescribed medications. However, the high heterogeneity in the included studies suggests that more RCTs with larger sample sizes and longer intervention durations are required to improve the robustness of the available evidence.

The Associations of Breastfeeding Status at 6 Months with Anthropometry, Body Composition, and Cardiometabolic Markers at 5 Years in the Ethiopian Infant Anthropometry and Body Composition Birth Cohort.

(1) Background: Breastfeeding (BF) has been shown to lower the risk of overweight and cardiometabolic disease later in life. However, evidence from low-income settings remains sparse. We examined the associations of BF status at 6 months with anthropometry, body composition (BC), and cardiometabolic markers at 5 years in Ethiopian children. (2) Methods: Mother-child pairs from the iABC birth cohort were categorised into four BF groups at 6 months: 1. "Exclusive", 2. "Almost exclusive", 3. "Predominantly" and 4. "Partial or none". The associations of BF status with anthropometry, BC, and cardiometabolic markers at 5 years were examined using multiple linear regression analyses in three adjustment models. (3) Results: A total of 306 mother-child pairs were included. Compared with "Exclusive", the nonexclusive BF practices were associated with a lower BMI, blood pressure, and HDL-cholesterol at 5 years. Compared with "Exclusive", "Predominantly" and "Almost exclusive" had shorter stature of -1.7 cm (-3.3, -0.2) and -1.2 cm (-2.9, 0.5) and a lower fat-free mass index of -0.36 kg/m2 (-0.71, -0.005) and -0.38 kg/m2 (-0.76, 0.007), respectively, but a similar fat mass index. Compared with "Exclusive", "Predominantly" had higher insulin of 53% (2.01, 130.49), "Almost exclusive" had lower total and LDL-cholesterol, and "Partial or none" had a lower fat mass index. (5) Conclusions: Our data suggest that children exclusively breastfed at 6 months of age are overall larger at 5 years, with greater stature, higher fat-free mass but similar fat mass, higher HDL-cholesterol and blood pressure, and lower insulin concentrations compared with predominantly breastfed children. Long-term studies of the associations between BF and metabolic health are needed to inform policies.

Prolactin in Polycystic Ovary Syndrome: Metabolic Effects and Therapeutic Prospects.

Polycystic ovary syndrome (PCOS) is the most prevalent endocrine and metabolic disorder in premenopausal women, characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovaries. Patients frequently present comorbidities, including obesity, insulin resistance, and impaired glucose and lipid metabolism. The diverse clinical presentation may mimic various endocrine disorders, making the diagnosis challenging in some clinical circumstances. Prolactin (PRL) is a recommended biomarker in the initial diagnostic workup to rule out hyperprolactinemia (HPRL). The traditional role of PRL is linked to lactation and the reproductive system. Recent research highlights PRL's emerging role in metabolic homeostasis. PRL influences metabolism directly by interacting with the pancreas, liver, hypothalamus, and adipose tissue. Its influence on an individual's metabolism is intricately tied to its serum concentration. While deficient and very high levels of PRL can negatively affect metabolism, intermediate-normal to moderately high levels may promote metabolic health. In women with PCOS, PRL levels may be altered. Research results on different aspects of the relationship between PCOS and the impact of various levels of PRL on metabolic homeostasis are limited and inconsistent. In this narrative literature review, we comprehensively examined data on serum PRL levels in PCOS patients. We investigated the correlation between a favorable metabolic profile and serum PRL levels in this population. Furthermore, we explored the concept of beneficial PRL effects on metabolism and discussed the potential therapeutic application of dopamine agonists in PCOS treatment. Lastly, we emphasized several promising avenues for future research in this field.

Soluble receptor for advanced glycation end-products (sRAGE) in childhood obesity: association with gene expression of RAGE and cardiometabolic markers / Receptor soluble para productos finales de glicación avanzada (sRAGE) en la obesidad infantil:asociación con la expresión génica de RAGE y marcadores cardiometabólicos

Introduction: advanced glycation end-products (AGEs) interact with the receptor for AGEs (RAGE). Full-length RAGE is associated with intracellular signal transduction, and soluble-RAGE (sRAGE) lacks the transmembrane and cytoplasmic domains, acting as a competitive inhibitor ofAGEs-RAGE binding. sRAGE levels in healthy children are associated with cell surface expression of RAGE. However, the expression of RAGE hasnot been explored in childhood obesity.Objective: the study aim was to evaluate the sRAGE levels and the gene expression of RAGE in children and its association with cardiometabolicmarkers.Methods: this is a cross-sectional study with 6-11-year children, 20 with overweight and 20 with obesity. Anthropometric measurements includedwaist circumference (cm) (WC), neck circumference (NC), weight (kg), fat mass (%), trunk fat (kg), muscular mass (kg), height (cm), and bodymass index (BMI) (kg/m2). Blood samples following an overnight fast were collected to measure glucose (mg/dl) and lipid profile with colorimetricmethods. sRAGE was determined in serum using the enzyme-linked immunosorbent assay (ELISA). Quantitative reverse transcription (RT-qPCR)was performed to analyze RAGE transcripts in peripheral blood mononuclear cells isolated by Ficoll®-Hypaque.Results: we found higher RAGE (p = 0.0315) and lower sRAGE (p = 0.0305) levels in the obesity group. sRAGE level showed a negative correlation with RAGE (r = -0.35) and BMI (r = -0.24), and positive with HDL-cholesterol (r = 0.29). Regression analysis suggests that HDL-C andRAGE levels are predictors of sRAGE levels.Conclusions: expression of RAGE is associated with lower sRAGE levels in childhood obesity. Moreover, obese children show higher cardiometabolic risk markers, and a positively associated with sRAGE. (AU)

Introducción: los productos finales de glicación avanzada (AGE) interactúan con el receptor de AGE (RAGE). El RAGE de longitud completaestá asociado con la transducción de señales intracelulares y el RAGE soluble (sRAGE) carece de los dominios transmembrana y citoplásmico,actuando como un inhibidor competitivo de la unión de AGE-RAGE. Los niveles de sRAGE en niños sanos están asociados con la expresión deRAGE en la superficie celular. Sin embargo, la expresión de RAGE no se ha explorado en la obesidad infantil.Objetivo: el objetivo del estudio fue evaluar los niveles de sRAGE y la expresión génica de RAGE en niños y su asociación con marcadorescardiometabólicos.Métodos: se trata de un estudio transversal con niños de seis a once años, 20 con sobrepeso y 20 con obesidad. Las medidas antropométricasincluyeron la circunferencia de la cintura (cm) (CC), la circunferencia del cuello (NC), el peso (kg), la masa grasa (%), la grasa del tronco (kg),la masa muscular (kg), la altura (cm) y el índice de masa corporal (IMC) (kg/m2). Se tomaron muestras de sangre después de una noche deayuno para medir glucosa (mg/dl) y el perfil de lípidos con métodos colorimétricos. Los sRAGE se determinaron en suero utilizando un ensayoinmunoabsorbente ligado a enzimas (ELISA). Se realizó una transcripción inversa cuantitativa (RT-qPCR) para analizar los transcritos de RAGE encélulas mononucleares de sangre periférica aisladas por Ficoll®-Hypaque.Resultados: encontramos niveles más altos de RAGE (p = 0,0315) y más bajos de sRAGE (p = 0,0305) en el grupo de obesidad. El nivel de sRAGE mostró una correlación negativa con RAGE (r = -0,35) e IMC (r = -0,24), y positiva con el colesterol HDL (r = 0,29). El análisis de regresión sugiere que los niveles de HDL-C y RAGE predicen los niveles de sRAGE.Conclusiones: la expresión de RAGE se asocia con niveles más bajos de sRAGE en la obesidad infantil. ... (AU)

Associations of weight and body composition at birth with body composition and cardiometabolic markers in children aged 10 y: the Ethiopian infant anthropometry and body composition birth cohort study.

BACKGROUND: Although birth weight (BW) has been associated with later cardiovascular disease and type 2 diabetes, the role of birth fat mass (BFM) and birth fat-free mass (BFFM) on cardiometabolic health is unclear. OBJECTIVES: To examine associations of BW, BFM, and BFFM with later anthropometry, body composition, abdominal fat, and cardiometabolic markers. METHODS: Birth cohort data on standardized exposure variables (BW, BFM, and BFFM) and follow-up information at age 10 y on anthropometry, body composition, abdominal fat, and cardiometabolic markers were included. A linear regression analysis was used to assess associations of exposures with outcome variables, adjusting for maternal and child characteristics at birth and current body size in separate models. RESULTS: Among 353 children, mean (SD) age was 9.8 (1.0) y, and 51.5% were boys. In the fully adjusted model, 1-SD higher BW and BFFM were associated with 0.81 cm (95% CI: 0.21, 1.41 cm) and 1.25 cm (95% CI: 0.64, 1.85 cm) greater height at 10 y, respectively. The 1-SD higher BW and BFM were associated with 0.32 kg/m2 (95% CI: 0.14, 0.51 kg/m2) and 0.42 kg/m2 (95% CI: 0.25, 0.59 kg/m2) greater fat mass index at 10 y, respectively. In addition, 1-SD higher BW and BFFM were associated with 0.22 kg/m2 (95% CI: 0.09, 0.34 kg/m2) greater FFM index, whereas a 1-SD greater BFM was associated with a 0.05 cm greater subcutaneous adipose tissue (95% CI: 0.01, 0.11 cm). Furthermore, 1-SD higher BW and BFFM were associated with 10.3% (95% CI: 1.4%, 20.0%) and 8.3% (95% CI: -0.5%, 17.9%) greater insulin, respectively. Similarly, 1-SD higher BW and BFFM were associated with 10.0% (95% CI: 0.9%, 20.0%) and 8.5% (95% CI: -0.6%, 18.5%) greater homeostasis model assessment of insulin resistance, respectively. CONCLUSIONS: BW and BFFM rather than BFM are predictors of height and FFM index at 10 y. Children with higher BW and BFFM showed higher insulin concentrations and homeostasis model assessment of insulin resistance at 10 y of age. This trial was registered at ISRCTN as ISRCTN46718296.

Vitamin D status of 3-year-old children in Denmark: determinants and associations with bone mineralisation and blood lipids.

PURPOSE: Low vitamin D status is a global problem and has been associated with reduced skeletal and cardiometabolic health. However, evidence in young children is lacking. We, therefore, aimed to characterise vitamin D status in toddlers, identify its determinants, and explore if vitamin D status was associated with bone mineralisation and lipid profile. METHODS: We used cross-sectional data from 3-year-old children (n = 323) living in Denmark (latitude: 55°N). Bone mineralisation (n = 108) was measured by DXA. Blood samples were analysed for serum 25-hydroxyvitamin D (s-25(OH)D) by LC-MS/MS, triacylglycerol, and total, low- and high density lipoprotein cholesterol. RESULTS: Mean ± SD s-25(OH)D was 69 ± 23 nmol/L, but varied with season. During winter, 38% had inadequate s-25(OH)D (< 50 nmol), whereof 15% had deficiency (< 30 nmol/L); these numbers were only 7 and 1% during summer. In terms of status determinants, supplement use (66% were users) was associated with s-25(OH)D (P < 0.001), whereas dietary vitamin D intake (median [25-75th percentile] of 1.3 [0.9-1.9] µg/d), sex, parental education, BMI, and physical activity were not. There were no associations between s-25(OH)D and blood lipids or bone measurements, using either unadjusted or adjusted regression models. CONCLUSION: More than 1/3 of Danish toddlers had inadequate vitamin D intake during winter, but acceptable mean vitamin D status. In addition to season, supplement use was the main determinant of vitamin D status, which was, however, not associated with bone mineralisation or lipid profile. The results support recommendations of vitamin D supplements during winter at northern latitudes, but potential health effects need further investigation.

Walnut Intake Interventions Targeting Biomarkers of Metabolic Syndrome and Inflammation in Middle-Aged and Older Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Biomarkers of metabolic syndrome and inflammation are pathophysiological predictors and factors of senescence and age-related diseases. Recent evidence showed that particular diet components, such as walnuts rich in antioxidant bioactive compounds and with a balanced lipid profile, could have positive outcomes on human health. A systematic search in PubMed, EMBASE, Cochrane Library, Scopus, and ClinicalTrials.gov databases was performed to retrieve randomized controlled trials published from the beginning of each database through November 2021, reporting on the outcomes of walnut consumption over 22 metabolic syndrome and inflammatory markers in middle-aged and older adults. The search strategy rendered 17 studies in the final selection, including 11 crossover and 6 parallel trials. The study revealed that walnut-enriched diets had statistically significant decreasing effects for triglyceride, total cholesterol, and LDL cholesterol concentrations on some inflammatory markers and presented no consequences on anthropometric and glycemic parameters. Although further studies and better-designed ones are needed to strengthen these findings, the results emphasize the benefits of including walnuts in the dietary plans of this age group.

Quantification of diet quality utilizing the rapid eating assessment for participants-shortened version in bipolar disorder: Implications for prospective depression and cardiometabolic studies.

OBJECTIVES: Recognizing bipolar disorder as a multi-system metabolic condition driven, in part, by binge eating behavior and atypical depressive symptoms, this study aimed to quantify diet quality and evaluate clinical correlates in a bipolar disorder cohort. METHODS: Participants from the Mayo Clinic Bipolar Disorder Biobank (n = 734) completed the Rapid Eating Assessment for Participants - Shortened version (REAP-S) to determine diet quality. The average REAP-S score for a U.S. omnivorous diet is 32 (range 13 to 39) with higher scores indicating healthier diet. Demographic variables were collected in a standardized clinical questionnaire. Depressive symptoms were assessed by the Bipolar Inventory of Symptoms Scale. Cardiometabolic variables were retrieved from the electronic health record. Associations between continuous variables and REAP-S scores (total, 'healthy foods' and 'avoidance of unhealthy foods') were assessed using linear regression. RESULTS: Overall, our sample had a mean REAP-S score of 27.6 (4.9), suggestive of a lower diet quality than the average general population in the US. There was a significant inverse relationship between mean REAP-S lower scores with increased BMI, waist circumference, disordered eating and depression. All these associations were significantly stronger in female participants. LIMITATIONS: EHR cross-sectional data. CONCLUSIONS: Our data suggest unhealthy diet quality in bipolar disorder is associated with depression, obesity and cardiometabolic abnormalities. Additional work is encouraged to prospectively track mood and diet quality to further understand the bidirectional relationship and clarify if dietary interventions can positively impact mood. Further delineating potential sex differences in diet quality and depression may provide greater appreciation of modifiable risk factors for future cardiometabolic burden.

Breaks no tempo em comportamento sedentário e marcadores cardiometabólicos em adolescentes / Breaks in sedentary time and cardiometabolic markers in adolescents

Resumo Fundamento: Interrupções no tempo despendido em comportamento sedentário (breaks) têm sido associadas a melhores níveis de indicadores cardiometabólicos na população adulta. No entanto, em adolescentes, os achados sobre essa associação ainda são conflitantes. Objetivos: Analisar a associação do número de breaks por dia em comportamento sedentário com marcadores cardiometabólicos e avaliar se ela é moderada pelo estado nutricional e o tempo excessivo em comportamento sedentário em adolescentes. Métodos: Estudo transversal com 537 adolescentes (52,3% do sexo feminino), de 10 a 14 anos de idade, de escolas públicas de João Pessoa (PB). O número diário de breaks em comportamento sedentário (>100 counts/minutos) foi mensurado por meio de acelerômetros (Actigraph GT3X+). Os marcadores cardiometabólicos analisados foram: pressão arterial sistólica e diastólica (mmHg), glicose de jejum, colesterol total, triglicerídeos, HDL-c, LDL-c (todos em mg/dL) e índice de massa corporal (IMC) (kg/m2). Utilizou-se a regressão linear para analisar a associação do número de breaks com marcadores cardiometabólicos e avaliar se ela é moderada pelo estado nutricional e o tempo excessivo em comportamento sedentário. O nível de significância de p<0,05 foi adotado para todas as análises. Resultados: O número de breaks por dia se associou negativamente ao IMC (ß = −0,069; IC95%: −0,102; −0,035), mas não aos demais marcadores cardiometabólicos, e essa associação não foi moderada pelo estado nutricional dos adolescentes (p=0,221) e nem pelo tempo excessivo em comportamento sedentário (p=0,176). Conclusão: A inclusão de breaks no tempo em comportamento sedentário parece contribuir para valores mais baixos do IMC em adolescentes.

Abstract Background: The interruption of the time spent in sedentary behavior (breaks) has been associated with better levels of cardiometabolic indicators in the adult population, but in adolescents, further investigations are still needed to confirm these findings. Objectives: To analyze the association of the number of breaks per day in sedentary behaviors with cardiometabolic markers and whether it was moderated by nutritional status and excessive time on sedentary behavior in adolescents. Methods: This is a cross-sectional study of 537 adolescents (52.3% girls), aged between 10 and 14 years, enrolled in public schools in the city of João Pessoa, Paraíba state, Brazil. The number of daily breaks (>100 counts/minutes) in sedentary time was measured by Actigraph GT3X+ accelerometers. The following cardiometabolic markers were analyzed: systolic and diastolic blood pressure (mmHg), fasting blood glucose levels, total cholesterol, triglycerides, HDL-c, LDL-c (all in mg/dL) and body mass index (BMI) (kg/m2). Linear regression was used to analyze the association between the number of breaks and cardiometabolic markers and whether this association was moderated by nutritional status and excessive time in sedentary behavior. The significance level of p<0.05 was adopted for all analyses. Results: The number of daily breaks was negatively associated with BMI (boys - ß = −0.083; 95%CI: −0.132; −0.034 and girls - ß = −0.115; 95%CI: −0.169; −0.061), but not with the remaining cardiometabolic markers. The number of breaks per day was negatively associated with BMI (ß = −0.069; 95% CI: −0.102; −0.035), but not with the other cardiometabolic markers and this association was not moderated by the adolescents' nutritional status (p=0.221), or by excessive time in sedentary behavior (p=0.176). Conclusions: Including breaks in sedentary time seems to contribute to lower BMI values in adolescents.

Cardiometabolic markers among Argentinean normal weight and overweight children with and without central obesity.

BACKGROUND: The association between central obesity and cardiometabolic complications justifies exploring its association in normal-weight and overweight/obese (OW/OB) schoolchildren. OBJECTIVE: To describe cardiometabolic markers in four groups according to BMI/WC categories: (i) normal weight with central OB; (ii) normal weight without central OB; (iii) OW/OB with central OB and (iv) OW/OB without central OB, in a sample of Argentinean schoolchildren. METHODS: A cross-sectional study of 1264 Argentinean schoolchildren (624 F), aged 9.5 ± 2.2 years was performed between November 2013 and 2015. Children's anthropometric measures, blood pressure (BP), glucose, lipids, and insulin were measured. Children were divided into four groups: (i) normal weight with central OB; (ii) normal weight without central OB; (iii) OW/OB with central OB and (iv) OW/OB without central OB. RESULTS: The prevalence of normal-weight children without central OB was 64.3% (796), normal weight with central OB 5% (66), OW/OB without central OB 11% (137), and OW/OB with central OB 21% (265). Normal weight with central OB had significantly higher triglycerides than normal-weight children without central OB (86 vs 70 mg/dL, respectively) and OW/OB children without central OB (81 vs 77 mg/dL). Multiple linear regression analyses showed that age, systolic BP, HDL-C, triglycerides, and maternal WC were significantly associated with children's WC; R2 = 0.50 as well as children's BMI; R2 = 0.37. CONCLUSION: This study found that children with central OB might be at future higher cardiometabolic risk than those without central OB independently of the presence of OW/OB. However, future longitudinal studies should be performed to confirm these findings.

Dietary patterns acquired in early life are associated with cardiometabolic markers at school age.

BACKGROUND & AIMS: it has previously been described that dietary patterns established early in life tracked to late childhood. The aim of the present work was to analyse the association of dietary patterns that tracked from 2 to 8y with cardiometabolic markers at 8y of age. METHODS: The 3 identified patterns at 2y (that previous analyses showed to track to age 8y) were: "CoreDP", loaded for vegetables, fruits, fish, olive oil, etc.; "F&SDP", loaded by poor-quality fats and sugars; and "ProteinDP", mainly loaded by animal protein sources. Cardiometabolic markers at 8y were systolic blood pressure (SBP), insulin resistance (HOMA-IR), and triglycerides, and BMI z-score. To examine whether the association of diet with the outcomes was the result of a direct effect of diet at either two or 8y, or synergy between them, we used structural equation models. RESULTS: the associations between the patterns and the health outcomes were: CoreDP was inversely associated with SBP and HOMA-IR; ProteinDP was directly associated with HOMA-IR and SBP; and adherence to F&SDP was directly associated with triglycerides and SBP. The associations between the patterns and the health outcomes were independent of BMI and were the result of a direct effect of diet at 2y, an indirect effect of diet at 2y through diet at 8y or a combination between both pathways. CONCLUSION: dietary patterns acquired in early life, persisting to later childhood, were associated with cardiometabolic markers at school age independently of BMI.

Association between diet quality index and cardiometabolic risk factors in adolescents: Study of Cardiovascular Risks in Adolescents (ERICA).

OBJECTIVE: This study evaluated the association between diet quality, assessed by the Diet Quality Index for Adolescents adapted for Brazilians (DQIA-BR), and cardiometabolic markers in adolescents. METHODS: The DQIA-BR and cardiometabolic markers were assessed in 36 956 Brazilian adolescents (12-17 y old) enrolled in the Study of Cardiovascular Risks in Adolescents (ERICA), a national school-based cross-sectional multicenter study in Brazil. For analyses, the sample was stratified by sex and nutritional status. Multiple linear regressions were used to investigate the association between DQIA-BR and cardiometabolic markers (total cholesterol, HDL-c, LDL-c, triglycerides, fasting glucose and HOMA-IR). Adjusted models were constructed with two input levels of covariates. The first model was adjusted for sex, age, and socioeconomic status; in the second model, total energy intake, physical activity, and sedentary behavior were included. RESULTS: A higher DQIA-BR score was associated with a better cardiometabolic profile in girls with normal weight; however, no association was observed in those with overweight/obesity. In boys with overweight/obesity, a better quality of diet was associated with lower concentrations of total cholesterol (ß = -0.338, 95% confidence interval [CI]: -0.611 to -0.066) and LDL-c (ß = -0.227, 95% CI: -0.448 to -0.005), but only LDL-c remained significant in those with normal weight (ß = -0.115, 95% CI: -0.224 to 0.005). CONCLUSION: The effects of diet quality on cardiometabolic risk factors differ according to sex and the presence of overweight/obesity. Overall, DQIA-BR is a suitable tool to evaluate the association between diet quality and cardiometabolic markers in normal-weight adolescents, but not for adolescents, especially girls, with overweight/obesity.

The effects of exercise and low-calorie diets compared with low-calorie diets alone on health: a protocol for systematic reviews and meta-analyses of controlled clinical trials.

BACKGROUND: Exercise and weight loss diets are two independent non-pharmaceutical strategies used to improve several aspects of body composition and health. We plan to systematically review controlled clinical trials investigating weight loss diets alone compared to weight loss diets in conjunction with exercise on energy intake, body weight, body composition, cardiometabolic risk factors, sex hormones, and mental health. METHODS AND ANALYSIS: PubMed/MEDLINE, EMBASE, ISI (Web of Science), Scopus, and Google Scholar will be searched to retrieve potential controlled clinical trials investigating the effects of exercise in conjunction with weight loss diets compared with weight loss diets alone on energy intake, body weight and composition (fat mass, fat-free mass), anthropometrics (waist circumference), cardiometabolic markers, sex hormones [testosterone, estradiol, and sex hormone binding globulin (SHBG)], liver and kidney enzymes (alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transferase (GGT), uric acid, blood urea nitrogen (BUN), glomerular filtration rate (GFR), quality of life, and depression in adults. The weighted mean difference (WMD) and its corresponding 95% confidence intervals (CIs) will be derived using random effects model. Several subgroup analyses based on follow-up duration, the health status of the participants, the diet used for weight loss, the exercise protocol, participants' sex, and other possible variables will be conducted to explore possible sources of heterogeneity. Publication bias will be explored by inspecting funnel plots and by conducting asymmetry tests. Overall quality of the evidence will be assessed by using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) tool. DISCUSSION: We envisage that this systematic review and meta-analysis will provide valuable information regarding the effectiveness of adding exercise to weight loss diets. No primary data is going to be collected; therefore, ethical approval is not required. The resulting manuscripts will be disseminated in peer-reviewed journals and at international and national conferences. SYSTEMATIC REVIEW REGISTRATION: The study protocol is registered in the International Prospective Register of Systematic Reviews (PROSPERO, Registration ID: CRD42020173434 ).

Body mass index and blood pressure in bipolar patients: Target cardiometabolic markers for clinical practice.

OBJECTIVE: To evaluate the association between cardiometabolic markers and bipolar disorder (BD), examining the impact of sex and cardiometabolic medication use, from a large case-control biorepository of more than 1300 participants. PATIENTS AND METHODS: Recruited from July 2009 through September 2017, cardiometabolic markers were harvested from electronic health records (EHR) of participants (n=661) from the Mayo Clinic Individualized Medicine Biobank for Bipolar Disorder and Mayo Clinic Biobank age-sex-matched controls (n=706). Markers were compared between cases and controls using logistic regression, stratified by sex, adjusting for cardiometabolic medications and current smoking status. We studied the effect of psychotropics in case-only analyses. RESULTS: The mean age of the sample was 52.5 ± 11.6 years and 55% were female. BD patients had higher rates of smoking, but lower utilization of lipid-lowering medication compared with controls. After adjustment, BD was associated with obesity [Odds ratio (CI) 1.62 (1.22-2.15)], elevated systolic blood pressure (SBP) [2.18 (1.55-3.06)] and elevated triglycerides [1.58 (1.13-2.2)]. When stratified by sex, obesity [1.8 (1.23-2.66)] and systolic blood pressure [2.32 (1.46-3.7)] were associated with BD females compared to female controls; however, only systolic blood pressure [2.04 (1.23-3.42)] was associated with male bipolars compared to male controls. Psychotropics were marginally associated with mean BMI, abnormal triglycerides, and HbA1c. LIMITATIONS: EHR cross-sectional data CONCLUSION: To our knowledge, this is the largest case controlled study to date to explore the association between cardiometabolic markers and bipolar disorder adjusting for utilization of cardiometabolic medication. Identification of significant, non-laboratory based cardiometabolic markers that are associated with increased risk of major cardiovascular adverse events in patients with bipolar disorder, underscores, both the utility and importance of risk monitoring that can be easily done in community mental health centers.