448 resultados para ADIPOSITY
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While dementia affects 6-10% of persons 65 years or older, industrialized countries have witnessed an alarming rise in obesity. However, obesity's influence on dementia remains poorly understood. The conducted a systematic review and meta-analysis. PUBMED search (1995-2007) resulted in 10 relevant prospective cohort studies of older adults (40-80 years at baseline) with end points being dementia and predictors including adiposity measures, such as body mass index (BMI) and waist circumference (WC). There was a significant U-shaped association between BMI and dementia (P= 0.034), with dementia risk increased for obesity and underweight. Pooled odds ratios (OR) and 95% confidence intervals (CI) for underweight, overweight and obesity compared with normal weight in relation to incident dementia were: 1.36 (1.07, 1.73), 0.88 (0.60, 1.27) and 1.42 (0.93, 2.18) respectively. Pooled ORs and 95% CI for obesity and incident Alzheimer's disease (AD) and vascular dementia were 1.80 (1.00, 3.29) vs. 1.73 (0.47, 6.31) and were stronger in studies with long follow-up (>10 years) and young baseline age (
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SUMMARY : The traditional medical advice for pregnant women has been to reduce their physical activity (PA) levels. The advice was based on concerns that exercise could affect pregnancy outcomes by increasing core body temperature, by increasing the risk of maternal musculoskeletal injury and by altering the transplacental transport of oxygen and nutrients to maternal skeletal muscle rather than to the developing foetus. In the meantime, several studies have provided new information on adaptation of the pregnant woman and her foetus to moderate PA. New investigations have shown no adverse maternal or neonatal outcomes, abnormal foetal growth, increase in early pregnancy loss, or late pregnancy complications. Moreover, enrolment in moderate PA has proven to result in marked health benefits including improved maternal cardiovascular function, reduction of excessive weight gain and fat retention, less complicated labour, improved foetal stress tolerance and neurobehavioral maturation. In view of the beneficial effects, current recommendations encourage healthy pregnant women to engage in 30 minutes of moderate PA on most, if not all, days of the week. This thesis work addressed several questions. Firstly, it examined whether compliance with the recommended levels of PA during pregnancy results in better preparedness for the sudden physical exertion of labour and delivery. Secondly, it measured PA during pregnancy as compared to postpartum. Lastly, it assessed the influence of pre-pregnancy body mass index on gestational resting metabolic rate. Data collection was conducted on healthy women living in Switzerland during the third trimester of pregnancy and postpartum. Total and activity energy expenditure was assessed through 24-hour heart rate and accelerations recordings, and cardiovascular fitness through an individual step-test. Information related to pregnancy, labour and delivery was collected from medical records. The results indicate that a minimum 30 min of moderate PA per day during pregnancy are associated with better cardiovascular fitness and lower risk of operative delivery with no negative effects on maternal and foetal conditions (study 1). Despite these benefits, a substantial proportion of pregnant women (39%) living in Switzerland do not meet the PA recommendations. The decrease in activity related energy expenditure during pregnancy compared to postpartum was measured to be around 100 kcal/day (~13%), whereas the total energy expenditure was found to increase by 300 kcal/day (study 2). Thus, the energy cost of late pregnancy in Switzerland corresponds to 200 kca/day. These findings are based on average values of the study group. It should be noted, however, that large variations in individual energy expenditure may occur depending on the pre-pregnancy body mass index (study 3). When adjusted to body weight, gestational resting metabolic rate is significantly lower among women of high pre-pregnancy body mass index compared to women of normal or low pre-pregnancy body mass index. This can be explained by the fact that resting metabolic rate is primarily a function of fat-free mass, and when expressed per kg body weight, it decreases as the percentage of body fat increases. If energy intake is not modified appropriately in order to match lower energy cost per kg body weight in overweight and obese women it will result in positive energy balance, thus contributing to the current trend towards increasing adiposity in affluent society. The results of these studies go beyond the current state of knowledge on PA and pregnancy (study 4) and provide valid evidence to guide clinical practice. In view of the current epidemic of sedentary behaviour and obesity related pathology, the findings contribute new and reliable information to public health policies regarding the effects of PA in pregnancy, an important period of life for both mother and infant.
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OBJECTIVE: A large body of epidemiologic data strongly suggests an association between excess adiposity and coronary artery disease (CAD). Low adiponectin levels, a hormone secreted only from adipocytes, have been associated with an increased risk of CAD in observational studies. However, these associations cannot clarify whether this relationship is causal or due to a shared set of causal factors or even confounding. Genome-wide association studies have identified common variants that influence adiponectin levels, providing valuable tools to examine the genetic relationship between adiponectin and CAD. METHODS: Using 145 genome wide significant SNPs for adiponectin from the ADIPOGen consortium (n = 49,891), we tested whether adiponectin-decreasing alleles influenced risk of CAD in the CARDIoGRAM consortium (n = 85,274). RESULTS: In single-SNP analysis, 5 variants among 145 SNPs were associated with increased risk of CAD after correcting for multiple testing (P < 4.4 × 10(-4)). Using a multi-SNP genotypic risk score to test whether adiponectin levels and CAD have a shared genetic etiology, we found that adiponectin-decreasing alleles increased risk of CAD (P = 5.4 × 10(-7)). CONCLUSION: These findings demonstrate that adiponectin levels and CAD have a shared allelic architecture and provide rationale to undertake a Mendelian randomization studies to understand if this relationship is causal.
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IMPORTANCE: Depression and obesity are 2 prevalent disorders that have been repeatedly shown to be associated. However, the mechanisms and temporal sequence underlying this association are poorly understood. OBJECTIVE: To determine whether the subtypes of major depressive disorder (MDD; melancholic, atypical, combined, or unspecified) are predictive of adiposity in terms of the incidence of obesity and changes in body mass index (calculated as weight in kilograms divided by height in meters squared), waist circumference, and fat mass. DESIGN, SETTING, AND PARTICIPANTS: This prospective population-based cohort study, CoLaus (Cohorte Lausannoise)/PsyCoLaus (Psychiatric arm of the CoLaus Study), with 5.5 years of follow-up included 3054 randomly selected residents (mean age, 49.7 years; 53.1% were women) of the city of Lausanne, Switzerland (according to the civil register), aged 35 to 66 years in 2003, who accepted the physical and psychiatric baseline and physical follow-up evaluations. EXPOSURES: Depression subtypes according to the DSM-IV. Diagnostic criteria at baseline and follow-up, as well as sociodemographic characteristics, lifestyle (alcohol and tobacco use and physical activity), and medication, were elicited using the semistructured Diagnostic Interview for Genetic Studies. MAIN OUTCOMES AND MEASURES: Changes in body mass index, waist circumference, and fat mass during the follow-up period, in percentage of the baseline value, and the incidence of obesity during the follow-up period among nonobese participants at baseline. Weight, height, waist circumference, and body fat (bioimpedance) were measured at baseline and follow-up by trained field interviewers. RESULTS: Only participants with the atypical subtype of MDD at baseline revealed a higher increase in adiposity during follow-up than participants without MDD. The associations between this MDD subtype and body mass index (β = 3.19; 95% CI, 1.50-4.88), incidence of obesity (odds ratio, 3.75; 95% CI, 1.24-11.35), waist circumference in both sexes (β = 2.44; 95% CI, 0.21-4.66), and fat mass in men (β = 16.36; 95% CI, 4.81-27.92) remained significant after adjustments for a wide range of possible cofounding. CONCLUSIONS AND RELEVANCE: The atypical subtype of MDD is a strong predictor of obesity. This emphasizes the need to identify individuals with this subtype of MDD in both clinical and research settings. Therapeutic measures to diminish the consequences of increased appetite during depressive episodes with atypical features are advocated.
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BACKGROUND. Maternal genetics and feeding before and during pregnancy, different maternal metabolic pathologies, as well as nutrient intakes of newborns in their first months of life may be involved in the obesity aetiology and its long-term consequences. The possible role of these and others factors, the mechanisms and the effects on the metabolism, and the development of this disease need further research. OBJECTIVE. To acquire more knowledge about foetal adipose tissue development and the influence of genetic, dietetic and environmental factors on the risk to suffer from obesity. METHODOLOGY. Four study groups have been established with 30 pregnant women in each one: 1) control group; 2) mothers with glucose intolerance/gestational diabetes; 3) women with low weight gain during pregnancy, and 4) women with overweight/obesity at the beginning of the pregnancy. The magnitudes to be studied are: 1) dietary intake; 2) life-style habits; 3) physical activity; 4) anthropometry and body composition; 5) haematological study; 6) biochemical study (lipid and metabolic biomarkers); 7) immune function profile related to nutritional status; 8) psychological profile; 9) genetic biomarkers, and 10) microbiological markers; all of them in relation to the development of the foetal adipose tissue in the first stages of life and the risk of suffering from obesity in the future. CONCLUSION. This project, coordinated by the Department of Paediatrics of the School of Medicine in the University of Granada, and with the collaboration of well-known and expert research groups, tries to contribute to the knowledge about the obesity aetiology in infancy and its subsequent development in later periods of life.
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Introduction: Motor abilities in schoolchildren have been decreasing in the last two decades (Bös, 2003, Tomkinson et al., 2003). This may be related to the dramatic increase in overweight and adiposity during the same time period. Children of migrant background are especially affected (Lasserre et al., 2007). But little is known about the relationship between BMI and migration background and motor abilities in preschool children. Methods/Design We carried out a cross-sectional analysis with 665 children (age 5.1 ± 0.6 years; 49.8 % female) of 40 randomly selected kindergarten classes from German and French speaking regions in Switzerland with a high migrant background. We investigated BMI, cardiorespiratory fitness (20 m shuttle run), static (displacement of center of pressure (COP)) and dynamic (balancing forward on a beam) postural control and overall fitness (obstacle course). Results: Of the children, 9.6 % were overweight, 10.5 % were obese (Swiss national percentiles) and 72.8 % were of migrant background (at least one parent born outside of Switzerland). Mean BMI from children of non-migrant background was 15.5 ± 1.1 kg/m2, while migrant children had a mean BMI of 15.8 ± 1.7 kg/m2 (p=0.08). Normal-weight children performed better in cardiorespiratory fitness (3.1 ± 1.4 vs. 2.6 ± 1.1 stages, p<0.001), overall fitness (18.9 ± 4.4 vs. 20.8 ± 4.6 sec, p<0.001) and in dynamic balance (4.9 ± 3.5 vs. 3.8 ± 2.5 steps, p<0.001) compared to overweight and obese children, while the latter had less postural sway (COP: 956 ± 302 vs. 1021 ± 212 mm, p=0.008). There was a clear inverse dose-response relationship between weight status and dynamic motor abilities. There were no significant differences in most tested motor abilities between non-migrant and migrant. The latter performed less well in only one motor test (overall fitness: 20.2 ± 5.2 vs. 18.3 ± 3.5 sec, p<0.001). These findings persisted after adjustment for BMI. Conclusion In preschool children, differences in motor abilities are already present between normal weight and overweight/obese children. However, migrant children demonstrate similar motor abilities compared to non-migrant children for almost all tests, despite their slightly higher BMI.
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BACKGROUND Obesity is positively associated with colorectal cancer. Recently, body size subtypes categorised by the prevalence of hyperinsulinaemia have been defined, and metabolically healthy overweight/obese individuals (without hyperinsulinaemia) have been suggested to be at lower risk of cardiovascular disease than their metabolically unhealthy (hyperinsulinaemic) overweight/obese counterparts. Whether similarly variable relationships exist for metabolically defined body size phenotypes and colorectal cancer risk is unknown. METHODS AND FINDINGS The association of metabolically defined body size phenotypes with colorectal cancer was investigated in a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolic health/body size phenotypes were defined according to hyperinsulinaemia status using serum concentrations of C-peptide, a marker of insulin secretion. A total of 737 incident colorectal cancer cases and 737 matched controls were divided into tertiles based on the distribution of C-peptide concentration amongst the control population, and participants were classified as metabolically healthy if below the first tertile of C-peptide and metabolically unhealthy if above the first tertile. These metabolic health definitions were then combined with body mass index (BMI) measurements to create four metabolic health/body size phenotype categories: (1) metabolically healthy/normal weight (BMI < 25 kg/m2), (2) metabolically healthy/overweight (BMI ≥ 25 kg/m2), (3) metabolically unhealthy/normal weight (BMI < 25 kg/m2), and (4) metabolically unhealthy/overweight (BMI ≥ 25 kg/m2). Additionally, in separate models, waist circumference measurements (using the International Diabetes Federation cut-points [≥80 cm for women and ≥94 cm for men]) were used (instead of BMI) to create the four metabolic health/body size phenotype categories. Statistical tests used in the analysis were all two-sided, and a p-value of <0.05 was considered statistically significant. In multivariable-adjusted conditional logistic regression models with BMI used to define adiposity, compared with metabolically healthy/normal weight individuals, we observed a higher colorectal cancer risk among metabolically unhealthy/normal weight (odds ratio [OR] = 1.59, 95% CI 1.10-2.28) and metabolically unhealthy/overweight (OR = 1.40, 95% CI 1.01-1.94) participants, but not among metabolically healthy/overweight individuals (OR = 0.96, 95% CI 0.65-1.42). Among the overweight individuals, lower colorectal cancer risk was observed for metabolically healthy/overweight individuals compared with metabolically unhealthy/overweight individuals (OR = 0.69, 95% CI 0.49-0.96). These associations were generally consistent when waist circumference was used as the measure of adiposity. To our knowledge, there is no universally accepted clinical definition for using C-peptide level as an indication of hyperinsulinaemia. Therefore, a possible limitation of our analysis was that the classification of individuals as being hyperinsulinaemic-based on their C-peptide level-was arbitrary. However, when we used quartiles or the median of C-peptide, instead of tertiles, as the cut-point of hyperinsulinaemia, a similar pattern of associations was observed. CONCLUSIONS These results support the idea that individuals with the metabolically healthy/overweight phenotype (with normal insulin levels) are at lower colorectal cancer risk than those with hyperinsulinaemia. The combination of anthropometric measures with metabolic parameters, such as C-peptide, may be useful for defining strata of the population at greater risk of colorectal cancer.
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Atherogenic dyslipidemia, manifest by low HDL-cholesterol and high TG levels, is an important component of ATP-III defined metabolic syndrome. Here, we dissected the phenotypic and genetic architecture of these traits by assessing their relationships with other metabolically relevant measures, including plasma adipo-cytokines, highly sensitive C-reactive protein (hsCRP) and LDL particle size, in a large family data set (n=2800) and in an independent set of dyslipidemic cases (n=716) and normolipidemic controls (n=1073). We explored the relationships among these phenotypes using variable clustering and then estimated their genetic heritabilities and cross-trait correlations. In families, four clusters explained 61% of the total variance, with one adiposity-related cluster (including hsCRP), one BP-related cluster, and two lipid-related clusters (HDL-C, TG, adiponectin and LDL particle size; apoB and non-HDL-C). A similar structure was observed in dyslipidemic cases and normolipidemic controls. The genetic correlations in the families largely paralleled the phenotype clustering results, suggesting that common genes having pleiotropic effects contributed to the correlations observed. In summary, our analyses support a model of metabolic syndrome with two major components, body fat and lipids, each with two subcomponents, and quantifies their degree of overlap with each other and with metabolic-syndrome related measures (adipokines, LDL particle size and hsCRP).
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OBJECTIVES: A lipidomic approach was employed in a clinically well-defined cohort of healthy obese women to explore blood lipidome phenotype ascribed to body fat deposition, with emphasis on epicardial adipose tissue (EAT). METHODS: The present investigation delivered a lipidomics signature of epicardial adiposity under healthy clinical conditions using a cohort of 40 obese females (age: 25-45 years, BMI: 28-40 kg/m(2) ) not showing any metabolic disease traits. Lipidomics analysis of blood plasma was employed in combination with in vivo quantitation of mediastinal fat depots by computerized tomography. RESULTS: All cardiac fat depots correlated to indicators of hepatic dysfunctions (ALAT and ASAT), which describe physiological connections between hepatic and cardiac steatosis. Plasma lipidomics encompassed overall levels of lipid classes, fatty acid profiles, and individual lipid species. EAT and visceral fat associated with diacylglycerols (DAG), triglycerides, and distinct phospholipid and sphingolipid species. A pattern of DAG and phosphoglycerols was specific to EAT. CONCLUSIONS: Human blood plasma lipidomics appears to be a promising clinical and potentially diagnostic readout for patient stratification and monitoring. Association of blood lipidomics signature to regio-specific mediastinal and visceral adiposity under healthy clinical conditions may help provide more biological insights into obese patient stratification for cardiovascular disease risks.
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This thesis has been conducted in the context of a lifestyle intervention in 40 Swiss kindergarten classes in the cantons St. Gallen and Vaud, in areas with a high migrant prevalence (Ballabeina study). The main objective of this work was to fill certain gaps of the literature and to bring a better understanding of the risk factors of overweight and obesity and their determinants in preschool children. Our data show that parental migrant status and educational level influence independently of each other adiposity and/or eating habits in these children. In addition, sports club participation at this young age seems to be a better indicator of healthy lifestyle characteristics in terms of physical activity, sedentary behaviour and eating habits than weight status. Finally, we found that in this population higher scores of hyperactivity/inattention are associated with lower adiposity and with both healthy (more physical activity and less sedentary activity) and unhealthy (more television viewing and more unhealthy eating habits) lifestyle characteristics. Thus, our findings can be used by different actors of health and education system to better target their preventive actions and can serve as a basis for future complementary researches. - Cette thèse a été réalisée dans le cadre d'un projet de promotion de la santé mené dans 40 classes enfantines suisses issues de régions à forte prévalence migrante des cantons de St. Gall et de Vaud (étude Ballabeina). L'objectif principal de ce travail était de combler certaines lacunes de la littérature et d'approfondir nos connaissances sur les facteurs de risque du surpoids et de l'obésité et de leurs déterminants chez les enfants d'âge préscolaire. Nos analyses montrent que le statut de migrant des parents et leur niveau d'éducation influencent indépendamment l'un de l'autres l'adiposité et les habitudes alimentaires chez ces enfants. De plus, à ce jeune âge la participation dans un club de sport semble être un meilleur indicateur de style de vie sain en termes d'activité physique, de comportements sédentaires et d'habitudes alimentaires que le statut pondéral. Nous avons également trouvé que dans cette population, un score plus élevé d'hyperactivité/inattention est associé aussi bien à des caractéristiques de style de vie saines (plus d'activité physique, moins d'activité sédentaire) que malsaines (plus de consommation de télévision et moins bonnes habitudes alimentaire. Ainsi, nos résultats peuvent aider les différents acteurs de la santé et de l'éducation à mieux cibler leurs actions de prévention et servir de base à de futures recherches complémentaires.
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Visceral adiposity is increasingly recognized as a key condition for the development of obesity related disorders, with the ratio between visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) reported as the best correlate of cardiometabolic risk. In this study, using a cohort of 40 obese females (age: 25-45 y, BMI: 28-40 kg/m(2)) under healthy clinical conditions and monitored over a 2 weeks period we examined the relationships between different body composition parameters, estimates of visceral adiposity and blood/urine metabolic profiles. Metabonomics and lipidomics analysis of blood plasma and urine were employed in combination with in vivo quantitation of body composition and abdominal fat distribution using iDXA and computerized tomography. Of the various visceral fat estimates, VAT/SAT and VAT/total abdominal fat ratios exhibited significant associations with regio-specific body lean and fat composition. The integration of these visceral fat estimates with metabolic profiles of blood and urine described a distinct amino acid, diacyl and ether phospholipid phenotype in women with higher visceral fat. Metabolites important in predicting visceral fat adiposity as assessed by Random forest analysis highlighted 7 most robust markers, including tyrosine, glutamine, PC-O 44∶6, PC-O 44∶4, PC-O 42∶4, PC-O 40∶4, and PC-O 40∶3 lipid species. Unexpectedly, the visceral fat associated inflammatory profiles were shown to be highly influenced by inter-days and between-subject variations. Nevertheless, the visceral fat associated amino acid and lipid signature is proposed to be further validated for future patient stratification and cardiometabolic health diagnostics.
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It is well known that visceral adipose tissue (VAT) is associated with insulin resistance (IR). Considerable debate remains concerning the potential positive effect of thigh subcutaneous adipose tissue (TSAT). Our objective was to observe whether VAT and TSAT are opposite, synergistic or additive for both peripheral and hepatic IR. Fifty-two volunteers (21 male/31 female) between 30 and 75 years old were recruited from the general population. All subjects were sedentary overweight or obese (mean BMI 33.0 ± 3.4 kg/m(2)). Insulin sensitivity was determined by a 4-h hyperinsulinemic-euglycemic clamp with stable isotope tracer dilution. Total body fat and lean body mass were determined by dual X-ray absorptiometry. Abdominal and mid-thigh adiposity was determined by computed tomography. VAT was negatively associated with peripheral insulin sensitivity, while TSAT, in contrast, was positively associated with peripheral insulin sensitivity. Subjects with a combination of low VAT and high TSAT had the highest insulin sensitivity, subjects with a combination of high VAT and low TSAT were the most insulin resistant. These associations remained significant after adjusting for age and gender. These data confirm that visceral excess abdominal adiposity is associated with IR across a range of middle-age to older men and women, and further suggest that higher thigh subcutaneous fat is favorably associated with better insulin sensitivity. This strongly suggests that these two distinct fat distribution phenotypes should both be considered in IR as important determinants of cardiometabolic risk.
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OBJECTIVE: A new tool to quantify visceral adipose tissue (VAT) over the android region of a total body dual-energy x-ray absorptiometry (DXA) scan has recently been reported. The measurement, CoreScan, is currently available on Lunar iDXA densitometers. The purpose of the study was to determine the precision of the CoreScan VAT measurement, which is critical for understanding the utility of this measure in longitudinal trials. DESIGN AND METHODS: VAT precision was characterized in both an anthropomorphic imaging phantom (measured on 10 Lunar iDXA systems) and a clinical population consisting of obese women (n = 32). RESULTS: The intrascanner precision for the VAT phantom across 9 quantities of VAT mass (0-1,800 g) ranged from 28.4 to 38.0 g. The interscanner precision ranged from 24.7 to 38.4 g. There was no statistical dependence on the quantity of VAT for either the inter- or intrascanner precision result (p = 0.670). Combining inter- and intrascanner precision yielded a total phantom precision estimate of 47.6 g for VAT mass, which corresponds to a 4.8% coefficient of variance (CV) for a 1 kg VAT mass. Our clinical population, who completed replicate total body scans with repositioning between scans, showed a precision of 56.8 g on an average VAT mass of 1110.4 g. This corresponds to a 5.1% CV. Hence, the in vivo precision result was similar to the phantom precision result. CONCLUSIONS: The study suggests that CoreScan has a relatively low precision error in both phantoms and obese women and therefore may be a useful addition to clinical trials where interventions are targeted towards changes in visceral adiposity.
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Bien que de nombreuses études suggèrent des liens entre les troubles psychiatriques et les maladies cardiovasculaires (MCV), peu ont utilisé des investigations somatique, biologique et psychiatrique adéquates. Pour déterminer les potentiels mécanismes impliqués dans ces associations, plusieurs études ont investigué le lien entre les troubles psychiatriques et les facteurs de risque des maladies cardiovasculaires (FRCV) (surpoids, diabète, dyslipidémie, hypertension artérielle, inactivité, consommation de cigarettes). De plus, des biomarqueurs (régulateurs du métabolisme, marqueurs hépatiques et inflammatoires) pouvant être associés à la fois aux troubles psychiatriques et aux FRCV ont été étudiés mais avec des résultats contradictoires. Basée sur un large échantillon de la population générale de la Ville de Lausanne et des investigations somatique et psychiatrique adéquates, cette thèse comporte deux articles: le premier étudie l'association entre les troubles psychiatriques majeurs et les FRCV; le second établit les liens entre certains biomarqueurs et le développement du diabète de type 2. Appliquant une méthodologie rigoureuse sur un échantillon de 3716 sujets de la population lausannoise âgés de 35 à 66 ans, les résultats du premier article ont montré que 1) le sous-type atypique de la dépression était associé à une augmentation du risque de souffrir de plusieurs FRCV (surpoids, diabète et syndrome métabolique), contrairement à d'autres sous-types de dépression, 2) les problèmes d'alcool étaient associés à un risque accru de souffrir de diabète et de dyslipidémie, 3) presque tous les troubles psychiatriques étaient associés à une consommation régulière de cigarettes. Quant au deuxième article, parmi les différents biomarqueurs testés, seul un niveau bas d'adiponectine (une hormone produite par le tissu adipeux qui affecte la sensibilité à l'insuline) était associé à un risque accru de souffrir de diabète par la suite. Ces résultats soulignent la nécessité pour les spécialistes de distinguer les sous-types de dépression pour le risque cardiovasculaire et de donner une attention particulière au sous-type atypique. Un problème d'alcool comorbide pourrait accroître le risque cardiovasculaire. De plus, des efforts pour diminuer la cigarette chez les sujets souffrant de troubles psychiatriques seraient une mesure préventive importante contre le développement des MCV. Le rôle de l'adiponectine dans l'association entre les troubles psychiatriques et les FRCV restant incertain, une prochaine analyse devrait déterminer le lien entre ce biomarqueur et la dépression atypique. - Despite the fact that several studies have highlighted associations between psychiatric disorders and cardiovascular diseases (CVD), few have used adequate somatic, biological and psychiatric measures. To determine potential mechanisms implicated in these associations, several studies have assessed the relationship between psychiatric disorders and cardiovascular risk factors (CVRFs), such as overweight, diabetes, dyslipidemia, hypertension, physical inactivity and smoking. Moreover, biomarkers such as metabolic regulators, hepatic and inflammatory markers, which could be associated with both psychiatric disorders and CVRFs, have been studied yielding contradictory results. Based on a population-based sample from the city of Lausanne and using adequate somatic and psychiatric investigations, this dissertation encompasses two articles: the first studies the associations between major psychiatric disorders established for lifetime and CVRFs; the second studies the associations between certain biomarkers and the development of type 2 diabetes. Using standardized contemporary methodology in a sample composed of 3716 individuals aged from 35 to 66 years, the first article revealed associations between 1) the atypical depression subtype and an increased risk of several CVRFs (overweight, diabetes and the metabolic syndrome) in contrast to other depression subtypes; 2) alcohol disorders and an increased risk of diabetes and dyslipidemia; 3) almost all psychiatric disorders and a lifetime history of regular cigarette smoking. The second article showed, among the various biomarkers tested, that only lower levels of adiponectin (a hormone produced by adiposity which affects sensitivity to insulin) were associated with an increased risk of subsequent type 2 diabetes. Our results highlight the need for specialists to subtype depression when studying the cardiovascular risk and to pay particular attention to the atypical subtype. A comorbid alcohol misuse may further increase the cardiovascular risk. Moreover, efforts to diminish smoking in subjects suffering from psychiatric disorders could be an important tool for preventing subsequent CVD. The role of adiponectin in the association between psychiatric disorders and CVRFs should still be elucidated, and future analyses should focus in particular on the relationship between this biomarker and atypical depression.
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Changes in the rate of growth and adiposity index (Quetelet index), calculated as weight/(length)2, kg/m2, were monitored from birth to 3 years in 19 premature babies (post-conceptional age 31.2 +/- 2 weeks) who were subjected during rapid growth (16 +/- 4 g/kg.day) to initial metabolic balance studies in the first weeks of life. These studies showed that the rate of fat accretion in these infants (3.3 +/- 0.9 g/kg.day) was substantially greater than that observed in fetuses of the same gestational age (2 g/kg.day) but the adiposity index was lower (9.6 +/- 1 kg/m2) than intrauterine values (11 kg/m2). Since at 6 months of age (corrected for gestational age at birth) the adiposity index was close to normality (103% of standard), the greater rate of fat accretion in early life contributed to progressively restore total body fat in premature babies. It is concluded that despite substantial fat deposition during the first weeks of life, the future evolution of these premature babies is favourable as judged from the normalization of adiposity index within the first 2 years of life.