129 resultados para Cardiometabolic


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Background: Depression is a major health problem worldwide and the majority of patients presenting with depressive symptoms are managed in primary care. Current approaches for assessing depressive symptoms in primary care are not accurate in predicting future clinical outcomes, which may potentially lead to over or under treatment. The Allostatic Load (AL) theory suggests that by measuring multi-system biomarker levels as a proxy of measuring multi-system physiological dysregulation, it is possible to identify individuals at risk of having adverse health outcomes at a prodromal stage. Allostatic Index (AI) score, calculated by applying statistical formulations to different multi-system biomarkers, have been associated with depressive symptoms. Aims and Objectives: To test the hypothesis, that a combination of allostatic load (AL) biomarkers will form a predictive algorithm in defining clinically meaningful outcomes in a population of patients presenting with depressive symptoms. The key objectives were: 1. To explore the relationship between various allostatic load biomarkers and prevalence of depressive symptoms in patients, especially in patients diagnosed with three common cardiometabolic diseases (Coronary Heart Disease (CHD), Diabetes and Stroke). 2 To explore whether allostatic load biomarkers predict clinical outcomes in patients with depressive symptoms, especially in patients with three common cardiometabolic diseases (CHD, Diabetes and Stroke). 3 To develop a predictive tool to identify individuals with depressive symptoms at highest risk of adverse clinical outcomes. Methods: Datasets used: ‘DepChron’ was a dataset of 35,537 patients with existing cardiometabolic disease collected as a part of routine clinical practice. ‘Psobid’ was a research data source containing health related information from 666 participants recruited from the general population. The clinical outcomes for 3 both datasets were studied using electronic data linkage to hospital and mortality health records, undertaken by Information Services Division, Scotland. Cross-sectional associations between allostatic load biomarkers calculated at baseline, with clinical severity of depression assessed by a symptom score, were assessed using logistic and linear regression models in both datasets. Cox’s proportional hazards survival analysis models were used to assess the relationship of allostatic load biomarkers at baseline and the risk of adverse physical health outcomes at follow-up, in patients with depressive symptoms. The possibility of interaction between depressive symptoms and allostatic load biomarkers in risk prediction of adverse clinical outcomes was studied using the analysis of variance (ANOVA) test. Finally, the value of constructing a risk scoring scale using patient demographics and allostatic load biomarkers for predicting adverse outcomes in depressed patients was investigated using clinical risk prediction modelling and Area Under Curve (AUC) statistics. Key Results: Literature Review Findings. The literature review showed that twelve blood based peripheral biomarkers were statistically significant in predicting six different clinical outcomes in participants with depressive symptoms. Outcomes related to both mental health (depressive symptoms) and physical health were statistically associated with pre-treatment levels of peripheral biomarkers; however only two studies investigated outcomes related to physical health. Cross-sectional Analysis Findings: In DepChron, dysregulation of individual allostatic biomarkers (mainly cardiometabolic) were found to have a non-linear association with increased probability of co-morbid depressive symptoms (as assessed by Hospital Anxiety and Depression Score HADS-D≥8). A composite AI score constructed using five biomarkers did not lead to any improvement in the observed strength of the association. In Psobid, BMI was found to have a significant cross-sectional association with the probability of depressive symptoms (assessed by General Health Questionnaire GHQ-28≥5). BMI, triglycerides, highly sensitive C - reactive 4 protein (CRP) and High Density Lipoprotein-HDL cholesterol were found to have a significant cross-sectional relationship with the continuous measure of GHQ-28. A composite AI score constructed using 12 biomarkers did not show a significant association with depressive symptoms among Psobid participants. Longitudinal Analysis Findings: In DepChron, three clinical outcomes were studied over four years: all-cause death, all-cause hospital admissions and composite major adverse cardiovascular outcome-MACE (cardiovascular death or admission due to MI/stroke/HF). Presence of depressive symptoms and composite AI score calculated using mainly peripheral cardiometabolic biomarkers was found to have a significant association with all three clinical outcomes over the following four years in DepChron patients. There was no evidence of an interaction between AI score and presence of depressive symptoms in risk prediction of any of the three clinical outcomes. There was a statistically significant interaction noted between SBP and depressive symptoms in risk prediction of major adverse cardiovascular outcome, and also between HbA1c and depressive symptoms in risk prediction of all-cause mortality for patients with diabetes. In Psobid, depressive symptoms (assessed by GHQ-28≥5) did not have a statistically significant association with any of the four outcomes under study at seven years: all cause death, all cause hospital admission, MACE and incidence of new cancer. A composite AI score at baseline had a significant association with the risk of MACE at seven years, after adjusting for confounders. A continuous measure of IL-6 observed at baseline had a significant association with the risk of three clinical outcomes- all-cause mortality, all-cause hospital admissions and major adverse cardiovascular event. Raised total cholesterol at baseline was associated with lower risk of all-cause death at seven years while raised waist hip ratio- WHR at baseline was associated with higher risk of MACE at seven years among Psobid participants. There was no significant interaction between depressive symptoms and peripheral biomarkers (individual or combined) in risk prediction of any of the four clinical outcomes under consideration. Risk Scoring System Development: In the DepChron cohort, a scoring system was constructed based on eight baseline demographic and clinical variables to predict the risk of MACE over four years. The AUC value for the risk scoring system was modest at 56.7% (95% CI 55.6 to 57.5%). In Psobid, it was not possible to perform this analysis due to the low event rate observed for the clinical outcomes. Conclusion: Individual peripheral biomarkers were found to have a cross-sectional association with depressive symptoms both in patients with cardiometabolic disease and middle-aged participants recruited from the general population. AI score calculated with different statistical formulations was of no greater benefit in predicting concurrent depressive symptoms or clinical outcomes at follow-up, over and above its individual constituent biomarkers, in either patient cohort. SBP had a significant interaction with depressive symptoms in predicting cardiovascular events in patients with cardiometabolic disease; HbA1c had a significant interaction with depressive symptoms in predicting all-cause mortality in patients with diabetes. Peripheral biomarkers may have a role in predicting clinical outcomes in patients with depressive symptoms, especially for those with existing cardiometabolic disease, and this merits further investigation.

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L’obésité est un problème de santé publique reconnu. Dans la dernière décennie l’obésité abdominale (OA) a été considérée comme une maladie métabolique qui contribue davantage au risque de diabète et de maladies cardiovasculaires que l’obésité générale définie par l’indice de masse corporelle. Toutefois, dans les populations d’origine africaine, la relation entre l’OA et les autres biomarqueurs de risque cardiométabolique (RCM) demeure obscure à cause du manque d’études chez ces populations et de l’absence de valeurs-seuils spécifiques pour juger d’une OA. Cette étude visait à comparer la prévalence des biomarqueurs de RCM (OA, hypertension artérielle, hyperglycémie, dyslipidémie, résistance à l'insuline et inflammation pré-clinique) chez les Béninois de Cotonou et les Haïtiens de Port-au-Prince (PAP), à étudier l’association de l’OA avec les autres biomarqueurs de RCM, à documenter le rôle du niveau socio-économique (NSE) et du mode de vie dans cette association et à ’identifier les indicateurs anthropométriques de l’OA -tour de taille (TT) et le ratio TT/hauteur (TT/H)- et les seuils qui prédisent le mieux le RCM à Cotonou et à PAP. Il s’est agi d’une analyse de données transversales chez 452 adultes (52 % hommes) apparemment en bonne santé, âgés de 25 à 60 ans, avec 200 sujets vivant à Cotonou (Bénin) et 252 sujets à PAP (Haïti). Les biomarqueurs de RCM considérés étaient : le syndrome métabolique (SMet) d’après les critères harmonisés de 2009 et ses composantes individuelles - une OA à partir d’un TT ≥ 94cm chez les hommes et ≥ 80cm chez les femmes, une hypertension, une dyslipidémie et une hyperglycémie; la résistance à l’insuline définie chez l’ensemble des sujets de l’étude à partir du 75e centile de l’Homeostasis Model Assessment (HOMA-IR); un ratio d’athérogénicité élevé (Cholestérol sérique total/HDL-Cholestérol); et l’inflammation pré-clinique mesurée à partir d’un niveau de protéine C-réactive ultrasensible (PCRus) entre 3 et 10 mg/l. Le ratio TT/H était aussi considéré pour définir l’OA à partir d’un seuil de 0,5. Les données sur les habitudes alimentaires, la consommation d’alcool, le tabagisme, les caractéristiques sociodémographiques et les conditions socio-économiques incluant le niveau d’éducation et un proxy du revenu (basé sur l’analyse par composante principale des biens et des possessions) ont été recueillies au moyen d’un questionnaire. Sur la base de données de fréquence de consommation d’aliments occidentaux, urbains et traditionnels, des schémas alimentaires des sujets de chaque ville ont été identifiés par analyse typologique. La validité et les valeurs-seuils de TT et du ratio TT/H prédictives du RCM ont été définies à partir des courbes ROC (Receiver Operating Characteristics). Le SMet était présent chez 21,5 % et 16,1 % des participants, respectivement à Cotonou et à PAP. La prévalence d’OA était élevée à Cotonou (52,5 %) qu’à PAP (36%), avec une prévalence plus élevée chez les femmes que chez les hommes. Le profil lipidique sérique était plus athérogène à PAP avec 89,3 % d’HDL-c bas à PAP contre 79,7 % à Cotonou et un ratio CT/HDL-c élevé de 73,4 % à PAP contre 42 % à Cotonou. Les valeurs-seuils spécifiques de TT et du TT/H étaient respectivement 94 cm et 0,59 chez les femmes et 80 cm et 0,50 chez les hommes. Les analyses multivariées de l’OA avec les biomarqueurs de RCM les plus fortement prévalents dans ces deux populations montraient que l’OA était associée à un risque accru de résistance à l’insuline, d’athérogénicité et de tension artérielle élevée et ceci, indépendamment des facteurs socio-économiques et du mode de vie. Deux schémas alimentaires ont émergé, transitionnel et traditionnel, dans chaque ville, mais ceux-ci ne se révélaient pas associés aux biomarqueurs de RCM bien qu’ils soient en lien avec les variables socio-économiques. La présente étude confirme la présence de plusieurs biomarqueurs de RCM chez des sujets apparemment sains. En outre, l’OA est un élément clé du RCM dans ces deux populations. Les seuils actuels de TT devraient être reconsidérés éventuellement à la lumière d’études de plus grande envergure, afin de mieux définir l’OA chez les Noirs africains ou d’origine africaine, ce qui permettra une surveillance épidémiologique plus adéquate des biomarqueurs de RCM.

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Background: Hyperuricemia is related to Metabolic Syndrome (MetS) and cardiovascular diseases, but the use of serum uric acid (UA) to diagnose MetS is currently ignored in clinical practices. Objectives: To examine the impact of serum UA on the diagnostic of MetS and the relationship of serum UA with cardiometabolic risk factors in apparently healthy Brazilian middle-aged men residents in a city of Minas Gerais. Methods: In a cross-sectional analysis, 289 apparently healthy middle-aged men underwent anthropometric, clinical, sociodemographic and blood serum biochemical evaluation. By using receive operating curve the internal cutoff of serum UA was determined (5.25 mg/dL). Results: Subjects with two or more components of MetS exhibited higher serum UA as compared to those with one or none component. The inclusion of serum UA ≥ 5.25mg/dL as an additional component of MetS increased the occurrence of this syndrome by 13%. Subjects with UA ≥ 5.25mg/dL showed high prevalence for MetS and association with its components (central obesity, hypertriglyceridemia, dyslipidemia and hypertension) as well as atherogenic risk. Conclusions: Serum UA has an important impact on the diagnostic of MetS and is related to cardiometabolic risk factors in apparently healthy Brazilian middle-aged men. Its use in clinical practices could aggregate accuracy to diagnose MetS.

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En 2011, l’Agence de la santé et des services sociaux de Montréal (ASSSM), en partenariat avec les Centres de santé et services sociaux (CSSS) de la région, a coordonné la mise en œuvre d’un programme de prévention et de prise en charge intégré sur le risque cardiométabolique. Ce programme, s’inspirant du Chronic Care Model et s’adressant aux patients atteints de diabète et d’hypertension artérielle, est d’une durée de deux ans et comporte une séquence de suivis individuels avec l’infirmière et la nutritionniste, de cours de groupe et de séances d’activité physique. L’objectif de ce mémoire est d’évaluer, à l’aide d’un devis quasi-expérimental, l’impact de la variation dans l’implantation de certains aspects du programme dans les six CSSS participant à l’étude sur les résultats de santé des patients. Cinq aspects du programme ont été retenus : les ressources, la conformité au processus clinique prévu dans le programme régional, la maturité du programme, la coordination interne au sein de l’équipe de soins et la coordination externe avec les médecins de 1re ligne. Des analyses de différence de différences, incluant des scores de propension afin de rendre les groupes comparables, ont été effectuées dans le but d’évaluer l’influence de ces aspects sur quatre indicateurs de santé : l’hémoglobine glyquée, l’atteinte de la cible de tension artérielle et l’atteinte de deux cibles d’habitudes de vie concernant la répartition des glucides alimentaires et la pratique d’activité physique. Les résultats indiquent que les indicateurs de santé sélectionnés se sont améliorés chez les patients participant au programme et ce, indépendamment des variations dans son implantation entre les CSSS participant à l’étude. Très peu d’analyses de différence de différences ont en effet relevé un impact significatif des variables d’implantation étudiées sur ces indicateurs. Les résultats suggèrent que les effets bénéfiques d’un tel programme sont davantage tributaires de la prestation des interventions auprès des patients que d’aspects organisationnels liés à son implantation.

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Examining factors that affect vitamin D status in the fast-growing elderly population of Miami-Dade, Florida, is needed. Vitamin D deficiency in older adults has been linked to correlates of disability, including falls and fractures, and cardiovascular disease. The purpose of this study was to determine the proportion of vitamin D insufficient individuals and their relationship with vitamin D insufficiency in older adults (n=97) living in Miami-Dade. We evaluated the association between vitamin D status and 1) dual task physical performance to understand the link between vitamin D and cognition in the context of mobility; and 2) cardiometabolic risk, measured by galvanic skin response, pulse oximetry, and blood pressure to create a composite score based on autonomic nervous system and endothelial function. Participants completed baseline assessments that included serum levels of vitamin D, anthropometrics, body composition, dual task physical performance and cardiometabolic risk. Surveys to evaluate vitamin D intake, sun exposure, physical activity, and depressive symptoms were completed. Spearman’s correlations, independent t-tests, paired t-tests, repeated measures ANOVAs, and multiple logistic and linear regressions were used to examine the relationship of vitamin D insufficiency (25(OH)D /ml) and sufficiency (25(OH)D ≥30 ng/ml) with determinants of vitamin D status, dual task physical performance variables and cardiometabolic risk scores. Although the proportion of vitamin D insufficient individuals was lower when compared to the prevalance of the general United States elderly population, it was still common in healthy community-dwelling older adults living in Miami-Dade County, especially among Hispanics. Factors that affected skin synthesis (ethnicity, and sun exposure), and bioavailability/metabolism (obesity) were significant predictors of vitamin D status. Vitamin D insufficiency was not significantly correlated with worse dual task physical performance; however, cognitive performance was worse in the vitamin D insufficient group. Our results suggest a relationship of vitamin D insufficiency with executive dysfunction, and support an association with cardiometabolic risk using an innovative electro-sensor complex, possibly by modulating autonomic nervous system activity and vascular function, thus affecting cardiac performance.

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Background: Polycystic Ovary Syndrome (PCOS) is a complex heterogeneous disorder and the most common endocrinopathy amongst women of reproductive age. It is characterized by androgen excess, chronic anovulation and an altered cardiometabolic profile. PCOS is linked to impaired adipose tissue (AT) physiology and women with this disorder present with greater risk for insulin resistance (IR), hyperinsulinemia, central adiposity, nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM) than matched for age and body mass index (BMI) women without PCOS. Hyperandrogenaemia appears to be driving adipocyte hypertrophy observed in PCOS under the influence of a hyperinsulinaemic state. Changes in the function of adipocytes have an impact on the secretion of adipokines, adipose tissue-derived proinflammatory factors promoting susceptibility to low grade inflammation. Methods: In this article, we review the existing knowledge on the interplay between hyperandrogenaemia, insulin resistance, impaired adipocyte biology, adipokines and chronic low-grade inflammation in PCOS. Results: In PCOS, more than one mechanisms have been suggested in the development of a chronic low-grade inflammation state with the most prevalent being that of a direct effect of the immune system on adipose tissue functions as previously reported in obese women without PCOS. Despite the lack of conclusive evidence regarding a direct mechanism linking hyperandrogenaemia to pro-inflammation in PCOS, there have been recent findings indicating that hyperandrogenaemia might be involved in chronic inflammation by exerting an effect on adipocytes morphology and attributes. Conclusion: Increasing evidence suggests that there is an important connection and interaction between proinflammatory pathways, hyperinsulinemia, androgen excess and adipose tissue hypertrophy and, dysfunction in PCOS. While lifestyle changes and individualized prescription of insulin-sensitizing drugs are common in managing PCOS, further studies are warranted to eventually identify an adipokine that could serve as an indirect marker of adipocyte dysfunction in PCOS, used as a reliable and pathognomic sign of metabolic alteration in this syndrome.

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Background: Chronic stress frequently manifests with anxiety and/or depressive symptomatology and may have detrimental cardiometabolic effects over time. As such, recognising the potential links between stress-related psychological disorders and cardiovascular disease (CVD) is becoming increasingly important in cardiovascular epidemiology research. The primary aim of this study was to explore prospectively potential associations between clinically relevant depressive symptomatology and anxiety levels and the 10-year CVD incidence among apparently healthy Greek adults. Design: A population-based, health and nutrition prospective survey. Methods: In the context of the ATTICA Study (2002–2012), 853 adult participants without previous CVD history (453 men (45 ± 13 years) and 400 women (44 ± 18 years)) underwent psychological evaluations through validated, self-reporting depression and anxiety questionnaires. Results: After adjustment for multiple established CVD risk factors, both reported depression and anxiety levels were positively and independently associated with the 10-year CVD incidence, with depression markedly increasing the CVD risk by approximately fourfold (adjusted odds ratio (95% confidence interval) 3.6 (1.3, 11) for depression status; 1.03 (1.0, 1.1) for anxiety levels). Conclusions: Our findings indicate that standardised psychological assessments focusing on depression and anxiety should be considered as an additional and distinct aspect in the context of CVD preventive strategies that are designed and implemented by health authorities at the general population level.

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The fibroblast growth factor (FGF) family consists of 22 evolutionarily and structurally related proteins (FGF1 to FGF23; with FGF15 being the rodent ortholog of human FGF19). Based on their mechanism of action, FGFs can be categorized into intracrine, autocrine/paracrine and endocrine subgroups. Both autocrine/paracrine and endocrine FGFs are secreted from their cells of origin and exert their effects on target cells by binding to and activating specific single-pass transmembrane tyrosine kinase receptors (FGFRs). Moreover, FGF binding to FGFRs requires specific cofactors, namely heparin/heparan sulfate proteoglycans or Klothos for autocrine/paracrine and endocrine FGF signaling, respectively. FGFs are vital for embryonic development and mediate a broad spectrum of biological functions, ranging from cellular excitability to angiogenesis and tissue regeneration. Over the past decade certain FGFs (e.g. FGF1, FGF10, FGF15/FGF19 and FGF21) have been further recognized as regulators of energy homeostasis, metabolism and adipogenesis, constituting novel therapeutic targets for obesity and obesity-related cardiometabolic disease. Until recently, translational research has been mainly focused on FGF21, due to the pleiotropic, beneficial metabolic actions and the relatively benign safety profile of its engineered variants. However, increasing evidence regarding the role of additional FGFs in the regulation of metabolic homeostasis and recent developments regarding novel, engineered FGF variants have revitalized the research interest into the therapeutic potential of certain additional FGFs (e.g. FGF1 and FGF15/FGF19). This review presents a brief overview of the FGF family, describing the mode of action of the different FGFs subgroups, and focuses on FGF1 and FGF15/FGF19, which appear to also represent promising new targets for the treatment of obesity and type 2 diabetes.

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En 2011, l’Agence de la santé et des services sociaux de Montréal (ASSSM), en partenariat avec les Centres de santé et services sociaux (CSSS) de la région, a coordonné la mise en œuvre d’un programme de prévention et de prise en charge intégré sur le risque cardiométabolique. Ce programme, s’inspirant du Chronic Care Model et s’adressant aux patients atteints de diabète et d’hypertension artérielle, est d’une durée de deux ans et comporte une séquence de suivis individuels avec l’infirmière et la nutritionniste, de cours de groupe et de séances d’activité physique. L’objectif de ce mémoire est d’évaluer, à l’aide d’un devis quasi-expérimental, l’impact de la variation dans l’implantation de certains aspects du programme dans les six CSSS participant à l’étude sur les résultats de santé des patients. Cinq aspects du programme ont été retenus : les ressources, la conformité au processus clinique prévu dans le programme régional, la maturité du programme, la coordination interne au sein de l’équipe de soins et la coordination externe avec les médecins de 1re ligne. Des analyses de différence de différences, incluant des scores de propension afin de rendre les groupes comparables, ont été effectuées dans le but d’évaluer l’influence de ces aspects sur quatre indicateurs de santé : l’hémoglobine glyquée, l’atteinte de la cible de tension artérielle et l’atteinte de deux cibles d’habitudes de vie concernant la répartition des glucides alimentaires et la pratique d’activité physique. Les résultats indiquent que les indicateurs de santé sélectionnés se sont améliorés chez les patients participant au programme et ce, indépendamment des variations dans son implantation entre les CSSS participant à l’étude. Très peu d’analyses de différence de différences ont en effet relevé un impact significatif des variables d’implantation étudiées sur ces indicateurs. Les résultats suggèrent que les effets bénéfiques d’un tel programme sont davantage tributaires de la prestation des interventions auprès des patients que d’aspects organisationnels liés à son implantation.

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In recent years, different subphenotypes of obesity have been described, including metabolically healthy obesity (MHO), in which a proportion of obese individuals, despite excess body fat, remain free of metabolic abnormalities and increased cardiometabolic risk. In the absence of a universally accepted set of criteria to classify MHO, the reported prevalence estimates vary widely. Our understanding of the determinants and stability of MHO over time and the associated cardiometabolic and mortality risks is improving, but many questions remain. For example, whether MHO is truly benign is debatable, and whether risk stratification of obese individuals on the basis of their metabolic health status may offer new opportunities for more personalized approaches in diagnosis, intervention, and treatment of diabetes remains speculative. Furthermore, as most of the research to date has focused on MHO in adults, little is known about childhood MHO. In this review, we focus on the epidemiology, determinants, stability, and health implications of MHO across the life course.

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Background: Although the negative consequences on health of being obese are well known, most adults gain weight across the lifespan. The general increase in body mass index (BMI) is mainly considered to originate from behavioral and environmental changes; however, few studies have evaluated the influence of these factors on change in BMI in the presence of genetic risk. We aimed to study the influence of multifactorial causes of change in BMI, over 65 years. Methods and Findings: Totally, 6130 participants from TwinGene, who had up to five assessments, and 536 from the Swedish Adoption/Twin Study of Aging, who had up to 12 assessments, ranging over 65 years were included. The influence of lifestyle factors, birth cohort, cardiometabolic diseases and an individual obesity genetic risk score (OGRS) based on 32 single nucleotide polymorphisms on change in BMI was evaluated with a growth model. For both sexes, BMI increased from early adulthood to age of 65 years, after which the increase leveled off; BMI declined after age of 80 years. A higher OGRS, birth after 1925 and cardiometabolic diseases were associated with higher average BMI and a steeper increase in BMI prior to 65 years of age. Among men, few factors were identified that influence BMI trajectories in late life, whereas for women type 2 diabetes mellitus and dementia were associated with a steeper decrease in BMI after the age of 65 years. Conclusions: There are two turning points in BMI in late adulthood, one at the age of 65 years and one at the age 80 years. Factors associated with an increase in BMI in midlife were not associated with an increase in BMI after the age of 65 years. These findings indicate that the causes and consequences of change in BMI differ across the lifespan. Current health recommendations need to be adjusted accordingly.

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Objetivos: El presente estudio tuvo por objetivo general (1) determinar los valores de referencia de la condición muscular mediante el índice general de fuerza (IGF) y como objetivo específico, (2) estudiar si el IGF está relacionado con indicadores de adiposidad en niños y adolescentes escolares de Bogotá, Colombia. Métodos: Del total de 7.268 niños y adolescentes (9-17.9 años) evaluados en el estudio FUPRECOL, 4.139 (57%) fueron mujeres. Se evaluó el IGF como marcador del desempeño muscular a partir de la tipificación de las pruebas de fuerza prensil (FP) y salto longitud (SL). El IGF se recodificó en cuartiles (Q), siendo el Q4 la posición con mejor valor del IGF. El índice de masa corporal (IMC), la circunferencia de cintura (CC), el índice cintura/talla (ICT) y el porcentaje de grasa corporal (%GC) por Bioimpedancia eléctrica, se midieron como marcadores de adiposidad. Resultados: La edad media de los evaluados fue 12,8±2,3 años. Se aprecia una tendencia hacia un incremento del nivel de condición física muscular en los varones conforme aumenta la edad, y hacia la estabilidad o un ligero aumento en el caso de las mujeres. El IGF se relacionó inversamente con el ICT y %GC en los varones (r= -0,280, r= -0,327 p<0,01), respectivamente. Los escolares ubicados en el Q4 del IGF, presentaron menores valores en marcadores de adiposidad IMC, CC, ICT y %GC, p<0,01 que su contraparte del Q1. Conclusión: Se presentan valores de referencia del IGF a partir de la estandarización de los resultados obtenidos en la FP y SL. La evaluación de la fuerza muscular en edades tempranas permitirá implementar programas de prevención de riesgo cardiovascular y metabólico futuro

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Our aim was to determine the normative reference values of cardiorespiratory fitness (CRF) and to establish the proportion of subjects with low CRF suggestive of future cardio-metabolic risk.

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In contrast to the definition of metabolic syndrome (MetS) in adults, there is no standard definition of MetS in pediatric populations. We aimed to assess the differences in the prevalence of MetS in children and adolescents aged 9–17 years in the city of Bogota (Colombia) using four different operational definitions for these age groups and to examine the associated variables. A total of 673 children and 1,247 adolescents attending public schools in Bogota (54.4% girls; age range 9–17.9 years) were included. The prevalence of MetS was determined by the definitions provided by the International Diabetes Federation (IDF) and three published studies by Cook et al., de Ferranti et al., and Ford et al. The prevalence of MetS was 0.3%, 6.3%, 7.8%, and 11.0% according to the IDF, Cook et al., Ford et al., and de Ferranti et al. definitions, respectively. The most prevalent components were low high-density lipoprotein cholesterol and high triglyceride levels, whereas the least prevalent components were abdominal obesity and hyperglycemia. Overall, the prevalence of MetS was higher in obese than in non-obese schoolchildren. In conclusion, MetS diagnoses in schoolchildren strongly depend on the definition chosen. These findings may be relevant to health promotion efforts for Colombian youth to develop prospective studies and to define which cut-offs are the best indicators of future morbidity.

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Objetivo: Determinar la distribución por percentiles de salto con contramovimiento (CMJ) en una población escolar de Bogotá, Colombia, perteneciente al estudio Fuprecol. Métodos: Estudio transversal realizado entre 2846 niños y 2754 adolescentes, entre 9 a 17 años de edad, pertenecientes a 18 instituciones educativas oficiales de Bogotá, Colombia. Se evaluó el CMJ, de acuerdo, con lo establecido por la batería de condición física, Fuprecol. Se calcularon, los percentiles (P3, P10, P25, P50, P75, P90 y P97), y curvas centiles por el método LMS, según su sexo y edad. Se realizó una comparación entre los valores de la CMJ observados con estándares internacionales. Resultados: La muestra estuvo constituida por 5.600 niños y adolescentes entre 9 y 17 años; el promedio de edad fue 12,6 ± 2,4 años. En el CMJ, los valores altos, los obtuvieron los niños, franja en la que la media osciló entre 25,1 cm a los 9 años, y 38,6 cm a los 17; para las niñas, la media fluctuó entre 23,2 cm a los 9 años, y 28,6 a los 17; en ambos sexos esos valores aumentan proporcional a la edad. Conclusiones: Se registran percentiles del CMJ de acuerdo con la edad y el sexo, que podrán ser usados como referencia en la evaluación del salto vertical desde edades tempranas.