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Biomedical subjects

M Deheeger

Publications and source records attributed to M Deheeger.

At least 19 recordsLinked to original sources
PubMed2006

Early adiposity rebound: causes and consequences for obesity in children and adults.

Childhood obesity is an important public health problem, with a rapidly increasing frequency worldwide. Identification of critical periods for the development of childhood and adolescent obesity could be very useful for targeting prevention measures. Weight status in early childhood is a poor predictor of adult adiposity status, and most obese adults were not obese as children. We first proposed to use the body mass index (BMI) charts to monitor individual BMI development. The adiposity rebound (AR) corresponds to the second rise in BMI curve that occurs between ages 5 and 7 years. It is not as direct a measure as BMI at any age, but because it involves the examination of several points during growth, and because it is identified at a time when adiposity level clearly change directions, this method provides information that can help us understand individual changes and the development of health risks. An early AR is associated with an increased risk of overweight. It is inversely associated with bone age, and reflects accelerated growth. The early AR recorded in most obese subjects and the striking difference in the mean age at AR between obese subjects (3 years) and non-obese subjects (6 years) suggest that factors have operated very early in life. The typical pattern associated with an early AR is a low BMI followed by increased BMI level after the rebound. This pattern is recorded in children of recent generations as compared to those of previous generations. This is owing to the trend of a steeper increase of height as compared to weight in the first years of life. This typical BMI pattern (low, followed by high body fatness level) is associated with metabolic diseases such as diabetes and coronary heart diseases. Low body fatness before the AR suggests that an energy deficit had occurred at an early stage of growth. It can be attributable to the high-protein, low-fat diet fed to infants at a time of high energy needs, the former triggering height velocity and the latter decreasing the energy density of the diet and then reducing energy intake. The high-fat, low-protein content of human milk may contribute to its beneficial effects on growth processes. Early (pre- and postnatal) life is a critical period during which environmental factors may programme adaptive mechanisms that will persist in adulthood. Under-nutrition in fetal life or during the first years after birth may programme a thrifty metabolism that will exert adverse effects later in life, especially if the growing child is exposed to overnutrition. These observations stress the importance of an adequate nutritional status in childhood and the necessity to provide nutritional intakes adapted to nutritional needs at various stages of growth. Because the AR reflects particular BMI patterns, it is a useful tool for the paediatrician to monitor the child's adiposity development and for researchers to investigate the different developmental patterns leading to overweight. It contributes to the understanding of chronic disease programming and suggests new approaches to obesity prevention.

Adiposity↗
PubMed2004

[Longitudinal study of anthropometric measurements in Parisian children aged ten months to 18 years].

AIM: To describe growth parameters in children followed longitudinally from 10 months of age to 18 years and to compare these data with reference values obtain in children born 30 years earlier. SUBJECTS AND METHOD: A follow study started in 1985 in Paris Health Centres at the ages of I 0 months, 2 and 4 years and subsequently at home every 2 years. Anthropometric data were compared with reference values derived from the French sample of the International Longitudinal Growth study which started in 1953-59. RESULTS: As compared to the reference values, children were taller. At the age of 18 years, in boys, height increase was 5.6 cm. This difference appeared as early as at the age of 12 years. Height increase in girls was 1.6 cm, but this difference was greater at 12. Thereafter, height gain was smaller than 30 years before. The Skélique index was greater due to longer leg length. Fat mass was higher and displayed a more android pattern. A higher prevalence of overweight appeared from the age of 8 years. CONCLUSION: Nowadays, growth processes seem unfavourable as compared to 30 years earlier. Fast growth, long leg length, android body fat distribution and overweight are associated with risk factors of various pathologies(cardiovascular diseases and cancer). Factors promoting these changes over time deserve to be explored more fully.

Adolescent↗
PubMed2004

Massive obesity in adolescents: dietary interventions and behaviours associated with weight regain at 2 y follow-up.

OBJECTIVE: To compare the influence of weight-reducing diets containing different amounts of protein and CHO on body composition in obese adolescents and to examine dietary and physical activity behaviours during follow-up. METHODOLOGY DESIGN: Prospective randomised study comparing two weight-reducing diets with the same energy (1750 kcal) and fat (31%) content, but different protein and carbohydrate contents: PROT- (15% protein, 54% CHO) vs PROT+ (19% protein, 50% CHO). PATIENTS: Massively obese 11- to 16-year-old children (32 boys and 89 girls). SETTING: A 9-month treatment in a medical centre (boarding school) plus a 2-y follow-up in free-living patients examined at home 1 and 2 y after treatment. MEASUREMENTS: Anthropometry, bioelectrical impedance, nutritional intakes and physical activity. RESULTS: Of the 121 eligible children (61 in PROT- and 60 in PROT+), 82% completed the trial until the end of weight loss treatment and 60% were followed 2 y after treatment. Body mass index (BMI) value at inclusion was 36.3 kg/m(2) or 4.3 z-scores (2.9-5.9). BMI z-score decreased to 1.7 at the end of treatment and went back to 2.8 (0.8-6.1) 2 y after treatment. This corresponded to a weight loss of 30.3 kg and weight regain of 21.3 kg. After treatment, energy intake increased and physical activity decreased. The contribution of energy ingested at breakfast decreased while snacking increased. For all measurements, no dietary group differences existed at baseline or at any time during the intervention and follow-up. CONCLUSION: A higher protein content of the diet did not confer any benefit in the treatment of childhood obesity. Substantial weight loss was obtained with a moderately energy-restricted diet and normal fat content. After weight loss, mean weight increased in spite of moderate energy intake, together with a drift towards obesity-associated behavioural patterns. The causes of the inability to adopt normal weight subjects' behaviour permanently deserve to be investigated further.

Adolescent↗
PubMed2002

The French longitudinal study of growth and nutrition: data in adolescent males and females.

OBJECTIVES: To assess nutritional intake, growth parameters, physical activity and television viewing in French adolescents. METHOD: A longitudinal study of dietary intake and anthropometric data recorded in the same children (n = 94) from 10 to 16 years of age is presented here. RESULTS: Energy intake increased from age 10-16 years in boys, whereas it decreased in girls from the age of 14. Height and weight increased in both males and females over the same period of time. Energy intake was positively associated with age at menarche. Nutritional intake, such as fat and calcium, did not meet recommendations for French adolescents. Height was higher than reference values, but the difference was not significant for girls between 14 and 16 years. Overweight (BMI > 97th percentile of the French reference) was found to be 13-14% between age 10 and 16 years. Time watching TV/computer increased with age from 1.4 to 2.2 h day-1 from 10 to 16 years. Active children had nutritional intake closer to recommendations. CONCLUSION: In conclusion, this study shows that during adolescence, some nutritional variations can be explained by normal individual growth processes. Low intake of calcium in girls and sedentary lifestyle are of particular concern.

Adolescent↗
PubMed2001

Dietary inadequacies observed in homeless men visiting an emergency night shelter in Paris.

OBJECTIVE: To assess the dietary intake and the nutritional status of homeless men. SETTING: A night emergency shelter in Paris, France. DESIGN: Dietary survey (48-h) including alcohol intake and a questionnaire on age, duration of homelessness, smoking habits. Subjects were also weighed and measured. SUBJECTS: Ninety-seven men aged 18-72 years (mean 43.3), of whom 54% were homeless for more than 18 months, 82% were smokers and 53% were regular and/or excessive drinkers. RESULTS: The BMI distribution was shifted towards low values, the percentage of wasted persons being four times higher than in the reference population. The mean total energy intake was 2376 kcal and included a high and highly variable percentage of energy derived from alcohol (12.0% Among drinkers, the mean ethanol intake was 90 g and there was a significant negative correlation between ethanol and non-alcoholic energy intakes. The median intakes of potassium, calcium, zinc, vitamins B1, B2, and niacin were lower than European Population Reference Intakes but only the mean intake of vitamin B1 was significantly lower. Eighty percent of non-alcoholic energy was provided by charitable organisations. For most nutrients, the nutritional density of the shelter ration was not significantly different from the density of the foods purchased by the homeless. CONCLUSIONS: These data suggest that the content of some nutrients should be increased in existing food assistance programs for homeless people in France.

Adolescent↗
PubMed2001

Gold-mining activities and mercury contamination of native amerindian communities in French Guiana: key role of fish in dietary uptake.

In 1994, the French National Public Health Network reported significant mercury exposure of native Amerindians in French Guiana. In 1997, a study was conducted in the Wayana community to quantify the dietary intake and to identify the fish species contributing the most to the contamination. The study was completed by an impregnation analysis based on Hg determination in hair samples. The methodology used was a detailed familial dietary study associated with Hg measurements in fish and some game. The study was conducted over 7 days in two different seasons in the four most populated Wayana villages on the upper part of the Maroni River (521 people; 70% of the Wayana population in French Guiana). Analysis was based on data on consumption obtained from 165 people in a 1-14 day period (i.e., 940 persons [times] days) and involved 270 fish samples from 48 species. Total Hg and monomethylmercury (MMHg) were also determined in hair samples (235 samples for total Hg). The results confirm mercury exposure of the Wayana population related to a diet rich in fish, which are relatively highly contaminated for certain species (up to 1.62 mg/kg fresh weight or 8.1 mg/kg dry weight in skeletal muscle). Results from hair samples showed that 57% of the Amerindians had Hg levels above the World Health Organization (WHO) safety limit (10 microg/g); all those over 1 year of age had a Hg intake greater than the WHO safety limit (200 microg MMHg/week for a 60-kg male). Hg concentrations in fish muscle were closely linked to the feeding regime and position of fish in the food webs. Overall, 14.5% of the fish collected exceeded the 0.5 mg/kg (fresh weight) safety limit. Four carnivorous species accounted for no less than 72% of the metal ingested by the Wayana families, although these represented only 28% of the consumed fish biomass. In conclusion, this study revealed excessive exposure to mercury in the Wayana population in French Guiana related to the consumption of contaminated fish.

Age Factors↗
PubMed2000

Nutritional status and food intake in adolescents living in Western Europe.

This review covers surveys of nutritional intake in adolescents living in several countries of Western Europe. Current definitions of nutritional status are discussed, with a special emphasis on adolescent years. It is generally observed that obesity rates are increasing (especially those of massive obesity) in young people, whereas declared energy intakes are decreasing. Average daily energy input seems adequate in adolescents of Western Europe. However, fat (especially saturated) intake is high while that of CHO and fiber is low. Proteins are mainly (two-thirds) from animal sources. Average micronutrient intakes correspond to recommended values in most cases, but there are a few exceptions (calcium and iron) that are low, particularly in girls. Specific problems become frequent at adolescence, such as dieting, smoking, getting low quality foods away from the home, etc. These behaviors may induce adverse nutritional conditions. On average, nutritional problems at adolescence do not appear to be more severe than at other ages, however they may exert a strong deleterious impact on future health.

Adolescent↗
PubMed1999

Breakfast type, daily nutrient intakes and vitamin and mineral status of French children, adolescents, and adults.

OBJECTIVE: To examine associations between the consumption of different types of breakfasts, dietary intakes, and selected indices of nutritional status. METHODS: Dietary intakes were obtained using the dietary history method, and serum bioassays were used to assess vitamin and mineral status in a representative community-based sample of 1108 French children (ages 2 to 10 years), adolescents (ages 10 to 18 years), and adults (ages 18 to 65 years). Breakfasts were divided into three categories: low-energy (<15% of the energy RDA), medium-energy (15-25%) and high-energy (>25%). RESULTS: High-energy breakfasts were associated with the consumption of ready-to-eat (RTE) cereals. High-energy breakfasts and cereal consumption, both more common among children and adolescents than among adults, were also associated with a greater proportion of daily energy from carbohydrate and lower proportion of energy from fat. High-energy breakfasts and cereal consumption were further associated with higher intakes of vitamins and minerals as measured by percent RDAs. High-energy breakfasts and cereal consumption were associated with lower serum cholesterols and improved biochemical indices of nutritional status. Serum concentrations of vitamin B1 (in children and adolescents), vitamin B2 and beta-carotene (in adults) were significantly linked to the level of energy provided by breakfast. CONCLUSION: The consumption of breakfast cereals appears to have a positive impact on nutritional status regardless of age.

Adolescent↗
PubMed1997

Physical activity and body composition in 10 year old French children: linkages with nutritional intake?

OBJECTIVES: To investigate the relationships between physical activity, dietary intake and body composition in children. DESIGN: A cross-sectional study on physical activity, nutritional intakes and body composition conducted in 86 healthy 10 y old French children. In addition, growth parameters and nutritional intakes were available from the age of 10 months. MEASUREMENTS: Physical activity level (using a validated activity questionnaire over the past year), nutritional intake (dietary history method), anthropometric measurements (body weight, height, arm circumference, triceps and subscapular skinfolds, Body Mass Index (BMI), arm muscle and arm fat areas calculated from these measurements) at the age of 10 y. Anthropometric measurements and nutritional intakes were recorded in the same children at the age of 10 months and every 2 y from the age of 2 y. RESULTS: At the age of 10 y, active children ingested significantly more energy than less active children, mostly due to higher energy intake at breakfast and in the afternoon. This higher energy intake was accounted for by increased consumption of carbohydrates (281 g vs 246 g; 49.6% vs 47.4% of total energy). Even if the amounts of fat consumed were similar in both groups (90 g vs 84 g; P = 0.09), the percentage of fat intake was lower in active children (35.4% vs 37.4%; P = 0.04). The percentage of protein was not different (14.9% vs 15.3%; P = 0.33). In spite of a higher energy intake in the active group, active and less active children had similar BMI at the age of 10 y. However, their body composition differed significantly: active children had a higher proportion of fat-free mass, a lower proportion of fat-mass as measured in the arm and they had a later adiposity rebound. Fatness was significantly and positively associated with the time spent watching television and video games. CONCLUSIONS: Physical activity was associated with improved body composition and growth pattern. This association may be related to nutritional changes: active children consumed more energy by increasing carbohydrate, thus reducing the relative fat content of their diet. These results provide support to encourage physical activity during childhood.

Age Factors↗
PubMed1996

Individual patterns of food intake development in children: a 10 months to 8 years of age follow-up study of nutrition and growth.

Individual patterns of food intake development have been investigated on the basis of a longitudinal study of nutrition and growth carried out in 112 children at the ages of 10 months, and 2, 4, 6, and 8 years. On the average, energy intake increased steadily with age. However, individual subjects sometimes followed a different pattern. Approximately 1 out of 5 subjects decreased their intake between two examinations. Besides, less than half the children (43%) were in the same category of energy intake (defined as tertiles) at 10 months and 8 years of age. Similarly, 47% of the children were in the same weight/height (BMI) category at 10 months and 8 years. Correlations computed between early intakes (10 months, and 2, 4, and 6 years) and intakes at 8 years were better for energy and protein intake than for fat and carbohydrates (CHO), showing that intake of energy or protein early in life has a better predictive value of intake at later ages. Energy intake development has been examined in those children who were found to be lean, medium, and fat at the age of 8 years; it increased more between the ages of 4 and 6 years, in children who were fat at 8 years. Individual variations of anthropometric measurements during growth are well documented. The present study points out that similar individual variations of intake also exists. These variations could reflect regulatory processes acting during growth and should be taken into account in investigating the child's appetite.

Body Composition↗
PubMed1995

Influence of macronutrients on adiposity development: a follow up study of nutrition and growth from 10 months to 8 years of age.

OBJECTIVE: To investigate the relationship between early nutrient intake and adiposity development. DESIGN: A follow up study of nutrition and growth carried out in a sample of 112 French children from 10 months to 8 years of age. MEASUREMENTS: Nutritional intakes at the age of 2 years and anthropometric measurements: Body Mass Index (BMI), subscapular and triceps skinfolds at the age of 8 years, and age at adiposity rebound assessed on the basis of BMI development. RESULTS: The BMI at the age of 8 years is positively correlated with energy intake at the age of 2 years, but this correlation becomes non significant after adjustment for BMI at 2 years. Protein (% of energy) intake at the age of 2 years is positively correlated with BMI and subscapular skinfold at 8 years after adjustment for energy intake at 2 years and parental BMI. The percentage of protein at 2 years is negatively associated with age at adiposity rebound, i.e. the higher the protein intake at 2 years, the earlier the adiposity rebound and the higher the subsequent BMI level. CONCLUSION: Protein at the age of 2 years is the only nutrient intake associated with fatness development pattern. A high protein intake increases body fatness at 8 years of age, via an early adiposity rebound. The association between protein intake and obesity is consistent with the increased stature and accelerated growth of obese children. A high fat low protein diet (such as human milk) is adapted to high energy demand for growth in early childhood. Our results suggest that high protein diet early in life could increase the risk of obesity and other pathologies later in life.

Adipose Tissue↗
PubMed1991

[Changes in food intake in 2 year old children between 1973 and 1986].

The food intake time changes in 2-year-old children was evaluated on the basis of two studies conducted in 1973 and 1986. An increase in the consumption of dairy products, vegetables and fruits, fish and poultry was observed. In addition, the choice in dairy products and fat has changed: more semi-skimmed milk, less butter and more vegetable oil are consumed resulting in a better fatty acid balance in 1986. However, iron intake remains lower than the recommended dietary allowance given by the Centre de Coordination des Etudes et Recherches sur la Nutrition et l'Alimentation. Knowledge on the tendencies of food intake behaviour is useful to improve information and prevention.

Calcium, Dietary↗
PubMed1991

[Dietary intake of a representative sample of the population of Val-de-Marne: I. Contribution of diet to energy supply].

Dietary intakes and its nutritional value were assessed during a nutritional survey performed in a population living in a district in the Paris area (Val-de-Marne). Data were obtained from 1108 subjects, aged 6 months to 97 years, randomly selected from the telephone directories of 12 of 47 towns and cities in the district. Dietary intake was evaluated in individual home interviews conducted by specialized dietitians, using the dietary history method. Age appears to be an important determining factor in variations in nutritional intake. Large differences exist between men and women for most types of food consumption. But the relative contribution of the main groups of food groups to the structure of energy intake is very similar in both sexes and virtually constant in the different age groups after the age of 6.

Adolescent↗