The effect of obesity on skin disease and epidermal permeability barrier status in children

Obese adult patients have many dermatoses, such as skin tags, candida infection, cellulite, and intertrigo, but only limited data have been published on obese children and the barrier function of their skin. Sixty-five overweight and obese children (n = 40, BMI 85th-95th percentile; n = 25, BMI > 95th percentile) (aged 8-15; mean age 11.6) and 30 normal-weight controls (aged 7-15; mean age 11.1) underwent a clinical evaluation and calculation of transepidermal water loss (TEWL). Higher weight percentile was associated with a higher incidence of some dermatoses. Skin tags were found in 40% of subjects in the 95th percentile and 2.5% of those in the 85th percentile. Striae distensae were observed in 32% of patients in the 95th percentile and 22.5% of those in the 85th percentile. Plantar hyperkeratosis was observed only in 20% of the 95th percentile subjects and was not observed in the other groups. TEWL values at the forearm site were significantly higher (p < 0.05) in obese children than in the control group, but no significant differences in TEWL values according to BMI level were found between the two groups of obese children. Degree of obesity influences the incidence of some associated dermatoses; skin tags, striae distensae, and plantar hyperkeratosis were more frequent in children in the 95th percentile of BMI. Obesity increases the TEWL rate, suggesting that obese children might become more easily overheated as weight increases, with more profuse sweating because of the thick layers of subcutaneous fat.

Body mass index and bioelectrical vector distribution in 8-year-old children

OBJECTIVE

To describe bioelectrical impedance vector distribution in relation to BMI (body mass index; body weight/stature(2)) in a population of healthy children in order to detect possible changes in body composition status.

DESIGN

Observational study involving 464 healthy 8-year-old children. The subjects were divided into three groups based on their BMI: 218 normal weight (NW) children with BMI<18.4 for male and BMI<18.3 for female; 135 overweight (OW) children with BMI 18.4 to <21.6 for male and with BMI 18.3 to <21.6 for female; 111 obese (OB) children with BMI>/=21.6. Skinfold thickness was measured at the triceps using a Holtain caliper. Bioelectrical impedance analysis (BIA) measurements were performed. Total body water (TBW), fat-mass (FM), fat-free mass (FFM), body cell mass (BCM) and extra-cellular water (ECW) were estimated using conventional BIA regression equations. The resistance-reactance graph (RXc graph) method was used for vector BIA using as reference population the set of 353 children with BMI 14.0-21.5kg/m(2).

RESULTS

Mean vector displacement followed a definite pattern, with progressive vector shortening in groups with increasing BMI class, and along a fixed phase angle. This pattern indicates an increase in TBW due to an increase in soft tissue mass with an average, normal hydration. In NW children, vectors out of the right and upper half of the 75% tolerance ellipse indicating leanness, and vectors falling out of the right and lower half of the tolerance ellipse indicating undernutrition, show a significantly reduced value of BCM but no significant differences in FM or triceps skinfold thickness (TST), respectively, compared to vectors falling within the 75% tolerance ellipse.

CONCLUSIONS

Although BMI is a reliable measure to grade overweight, it cannot differentiate whether weight change is due to variation of FM, FFM or water. In our study a different impedance vector pattern has been associated with normal weight to obesity, and we have established the trajectory followed by the impedance vector of standardized age, healthy children grouped by BMI. This BIVA may be useful for clinical purposes due to ability to detect changes in hydration or body composition in children.

Role of dietary intervention on metabolic abnormalities and nutritional status after renal transplantation

BACKGROUND

In these last years, several traditional risk factors for cardiovascular disease, like obesity, dyslipidaemia, hypertension and post-transplant diabetes mellitus have been also identified as important non-immunological risk factors leading to the development of chronic allograft nephropathy, the first cause of graft loss in transplanted patients. The aim of the present study was to determine the effects of a 12-month dietary regimen on the nutritional status and metabolic outcome of renal transplant recipients in the first post-transplant year.

METHODS

Forty-six cadaver-donor renal transplant recipients (mean age 40.8 +/- 10.1-years), enrolled during the first post-transplant year (4.8 +/- 3.3 months) and followed prospectively for a 12 month period. Biochemical and nutritional markers, anthropometric measurements, body composition (by conventional bioelectrical impedance analysis) and dietary records (using a detailed food-frequency questionnaire) at baseline and after 12 months.

RESULTS

Compliance to the diet was related to sex (male better than female) and was associated with weight loss primarily due to a decrease in fat mass, with decrease in total cholesterol and glucose plasma levels and with a concomitant rise in serum albumin.

CONCLUSION

After renal transplantation, health benefits of proper metabolic balance that include reduced body fat, weight loss, lower cholesterol and triglycerides levels and an improvement, fasting glucose levels can be obtained when dietary intervention occurred.

Bioelectrical impedance analysis and age-related differences of body composition in the elderly

BACKGROUND AND AIM

Significant changes in body composition that have important health related effects may occur in the elderly. In this study, we evaluated the bioelectrical characteristics in a large group of apparently healthy Caucasian men in the age range 50-80 years, as a function of age and body mass index.

METHODS

We studied 315 men with ages ranging from 50 to 80 years. They were divided into three groups according to body mass index (kg/m(2)): 18.5-24.9 normoweight (NW); 25.0-29.9 overweight (OW); > or =30 obese (OB), and they were classified in nine age subgroups: 50-59 (young-old, YO); 60-69 (old, O); 70-80 (oldest, OS). Fat-free mass, fat mass and body cell mass were investigated using conventional bioelectrical impedance analysis. Body composition was also assessed by bioelectrical impedance vector analysis and the RXc graph method.

RESULTS

Body cell mass decreased significantly with age particularly in subgroups of the OW and OB groups (p<0.05). Mean vector displacement followed a definite pattern, with downward migration of the ellipses in the OW and OB groups, after 70 years of age.

CONCLUSIONS

Ageing was associated with a pattern of vector bioelectrical impedance analysis indicating decreased soft tissue mass (fat-free mass and body cell mass), particularly in OW and OB-OS healthy men. We suggest 70 years of age as a cut-off for significant quantitative and qualitative (tissue electrical properties) body composition modifications. This bioelectrical impedance vector analysis pattern associated with ageing and across the different body mass index categories, may be useful for clinical purposes and can be used in geriatric routine to accurately assess the body composition modifications occurring in the elderly.