Residential Exposure to Outdoor Air Pollution during Pregnancy and Anthropometric Measures at Birth in a Multicenter Cohort in Spain

BACKGROUND. A growing body of research suggests that prenatal exposure to air pollution may be harmful to fetal development. We assessed the association between exposure to air pollution during pregnancy and anthropometric measures at birth in four areas within the Spanish Children's Health and Environment (INMA) mother and child cohort study. METHODS. Exposure to ambient nitrogen dioxide (NO2) and benzene was estimated for the residence of each woman (n = 2,337) for each trimester and for the entire pregnancy. Outcomes included birth weight, length, and head circumference. The association between residential outdoor air pollution exposure and birth outcomes was assessed with linear regression models controlled for potential confounders. We also performed sensitivity analyses for the subset of women who spent more time at home during pregnancy. Finally, we performed a combined analysis with meta-analysis techniques. RESULTS. In the combined analysis, an increase of 10 µg/m3 in NO2 exposure during pregnancy was associated with a decrease in birth length of -0.9 mm [95% confidence interval (CI), -1.8 to -0.1 mm]. For the subset of women who spent ≥ 15 hr/day at home, the association was stronger (-0.16 mm; 95% CI, -0.27 to -0.04). For this same subset of women, a reduction of 22 g in birth weight was associated with each 10-µg/m3 increase in NO2 exposure in the second trimester (95% CI, -45.3 to 1.9). We observed no significant relationship between benzene levels and birth outcomes. CONCLUSIONS. NO2 exposure was associated with reductions in both length and weight at birth. This association was clearer for the subset of women who spent more time at home.

A Nested Case-Control Study of Metabolically Defined Body Size Phenotypes and Risk of Colorectal Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC).

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.

Estudio longitudinal del Índice de masa corporal (IMC) en pacientes en diálisis

Chronic renal failure is commonly related to hyponutrition, affecting approximately on third of patients with advanced renal failure. We carried out a longitudinal study to assess nutritional evolution of 73 patients on a regular hemodialysis program, assessing changes in the anthropometrical parameter body mass index (BMI) and its correspondence to biochemical nutritional parameters such as total protein (TP) levels and serum albumin (Alb). Every three months plasma TP and albumin levels were collected and BMI was calculated by the standard formula: post-dialysis weight in kg/height in m2. For classifying by BMI categories, overweight and low weight were defined according to the WHO Expert Committee. Studied patients had a mean age of 53 years, 43 were male and 30 were female patients. BMI in women was lower than that in men (p < 0.001), as well as TP (p < 0.001) and Alb (p < 0.001) levels. Mean BMI was 29.3 kg/m2. Three point two percent of the determinations showed low weight, 12.16% overweight, and 83.97% normal BMI. TP were normal in 90.76% and decreased in 9.24%. Alb was normal in 82.2% and low in 17.78%. After the follow-up time (21.6 months, minimum 18 months, maximum 53 months), the Kruskal-Wallis test did not show a statistically significant change for BMI but it did show a change for the biochemical parameters albumin and total proteins (p < 0.05): nutritional impairment in CRF patients is manifested on biochemical parameters (TP and Alb) with no reflection on anthropometrical data.

Thin healthy women have a similar low bone mass to women with anorexia nervosa.

An association between anorexia nerviosa (AN) and low bone mass has been demonstrated. Bone loss associated with AN involves hormonal and nutritional impairments, though their exact contribution is not clearly established. We compared bone mass in AN patients with women of similar weight with no criteria for AN, and a third group of healthy, normal-weight, age-matched women. The study included forty-eight patients with AN, twenty-two healthy eumenorrhoeic women with low weight (LW group; BMI < 18.5 kg/m2) and twenty healthy women with BMI >18.5 kg/m2 (control group), all of similar age. We measured lean body mass, percentage fat mass, total bone mineral content (BMC) and bone mineral density in lumbar spine (BMD LS) and in total (tBMD). We measured anthropometric parameters, leptin and growth hormone. The control group had greater tBMD and BMD LS than the other groups, with no differences between the AN and LW groups. No differences were found in tBMD, BMD LS and total BMC between the restrictive (n 25) and binge-purge type (n 23) in AN patients. In AN, minimum weight (P = 0.002) and percentage fat mass (P = 0.02) explained BMD LS variation (r2 0.48) and minimum weight (r2 0.42; P = 0.002) for tBMD in stepwise regression analyses. In the LW group, BMI explained BMD LS (r2 0.72; P = 0.01) and tBMD (r2 0.57; P = 0.04). We concluded that patients with AN had similar BMD to healthy thin women. Anthropometric parameters could contribute more significantly than oestrogen deficiency in the achievement of peak bone mass in AN patients.

Conozca su Índice de Masa Corporal (IMC para adultos)

Publicado en la página web de la Consejería de Salud y Bienestar social: www.juntadeandalucia.es/salud (Consejería de Salud y Bienestar Social / Profesionales / Salud Pública / Promoción de la Salud / Actividad Física y Alimentación Equilibrada / Consejo dietético)

Estudio longitudinal del peso e índice de masa corporal tras el trasplante renal durante 5 años de evolución.

INTRODUCTION: Gain weight after transplantation is relatively common, also tends to be multifactorial and can be influenced by glucocorticoids and immunosuppressive medications, delayed graft function and cause serious health complications. OBJECTIVES: Assess changes in weight, degree of obesity and body mass index as well as the effect of immunosuppressive treatment over these 5 years after kidney transplantation. METHODS: The samples were 119 kidney transplant recipients, 70 men and 49 women, that attended the query post for five years. All patients were measured Pretransplant and post (from 1st year to the 5th year) weight, height and body mass index calculated by the formula weight/size2 relating it to immunosuppressive treatment taking. RESULTS: There is a considerable increase of body mass index, weight and degree of obesity in the first year after transplantation to increase more slowly in the next four years. The type of immunosuppressive treatment influence the weight and degree of obesity that occurs in this period of time. CONCLUSIONS: A high prevalence there are overweight and obesity after the transplant especially during the first year. A year patients earn an average of 6.6 kg in weight and an average of 2.5 kg/m2 in their BMI. During treatment should minimize doses of steroids and include dietary treatment and adequate physical exercise

Relación entre la edad, el índice de masa corporal, el grado de dependencia y la calidad de vida en pacientes con desnutrición tras un alta hospitalaria.

Introduction: The quality of life assessment means investigating how patients perceive their disease. Malnutrition-specific characteristics make patients more vulnerable, so it is important to know how these factors impaction patients’ daily life. Aim: To assess the quality of life in malnourished patients who have had hospital admission, and to determine the relationship of the quality of life with age, body mass index, diagnosis of malnutrition, and dependency. Method: Multicenter transversal descriptive study in 106 malnourished patients after hospital admission. The quality of life (SF-12 questionnaire), BMI, functional independency (Barthel index), morbidity, and a dietary intake evaluation were assessed. The relationship between variables was tested by using the Spearman correlation coefficient Results: The patients of the present study showed a SF-12 mean of 38.32 points. The age was significantly correlated with the SF-12 (r= -0.320, p= 0.001). The BMI was correlated with the SF-12 (r= 0.251, p= 0.011) and its mental component (r= 0.289, p= 0.03). It was also reported a significant correlation between the Barthel index and the SF-12 (r= 0.370, p< 0.001). Conclusions: The general health perception in malnourished patients who have had a hospital admission was lower than the Spanish mean. Moreover, the quality of life in these patients is significantly correlated with age, BMI and functional independency.

Osteoporosis e índice de masa corporal en el trasplantado renal.

INTRODUCTION: frequently after kidney transplantation there is an increase in weight with a resulting high percent of obesity in these recipients. This combined with a rapid loss of bone mass, a higher prevalence of osteoporosis and fractures is evident than in normal populations. OBJECTIVES: to explore the relationship between body mass index (BMI) and prevalence of osteoporosis in a population of renal transplant recipients. METHODS: prospective longitudinal study design. The study was conducted on 306 kidney transplant recipients. The relationship between weigh and body mass index with femoral and lumbar osteopenia and osteoporosis prevalence at the moment of transplant and at 12 months post was explored. RESULTS: there was a high prevalence of overweight (35.6%) and obese (14.1%) recipients after renal transplant and 1 year after (42.2% and 24.2% respectively). Significant differences were found(p = 0.049) between the weight at the time of transplant and the presence of osteopenia or osteoporosis at the lumbar level one year after, the highest weights were in recipients with osteoporosis. The mean BMI was higher (p = 0.028) in osteoporotic patients (26.59 kg/m2) than in patients with osteopenia (24.23 kg/m2). CONCLUSION: results seem to be consistent with recent studies in the general population showing excessive weight as a possible factor detrimental to the bone health.

Estudio de la albúmina sérica y del índice de masa corporal como marcadores nutricionales en pacientes en hemodiálisis.

Background: Protein calorie malnutrition as well as systemic inflammation and metabolic disorders are common among patients with chronic renal failure undergoing renal replacement therapy (haemodialysis), which contributes to its morbidity and mortality. Aims: The aims of this work was to evaluate the nutritional status of patients in a hemodialysis treatment through the assessment of biochemical parameters nutritional as albumin, and anthropometric parameters of body mass index during ten years of follow up. Methods: In this work has been followed 90 patients of both sexes with chronic kidney disease who were treated with hemodialysis regularly on our unit for ten years. All patients were conducted quarterly measurements of plasma albumin (Alb), and other biochemical determinations, and anthropometric measurements of height, weight and body mass index calculated by the formula weight/height², grouped n BMI < 23 kg/m2 and albumin levels <3.8 g/dl according to the consensus of the panel of experts of the International Society for renal Nutrition and metabolism. Results: During the 10 years all patients showed a significant decline in the biochemical parameters and the albumin, change in BMI does not presented significant changes in relation to malnutrition. Conclusions: Malnutrition in patients on dialysis is a fact patent, BMI does not correspond with the biochemical parameters were observed, for what nutritional impairment in these patients is mainly expressed by serum albumin.