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PubMed1999

Energy intake, appetite and body mass in infancy.

Energy intake in infancy depends on the infant's appetite, which, in turn, depends to a considerable extent on the infant's size, as size is an important determinant of energy expenditure. Previous work on six-week old breast-fed infants has suggested that, at this age, milk intake in infants is proportional to the square root of body weight (wt.(0.5)). In this paper, the form of the relationship between body weight and energy intake is examined in infants of different ages, using data from two longitudinal studies, one of initially breast-fed and one of initially bottle-fed infants. In the first data set, energy intake is proportional to body weight raised to powers ranging from 0.63 to 1.23 at different ages and, in the second, to body weight raised to powers ranging from 0.50 to 1.07 at different ages. No single value is consistent with all the data at all ages. In general, the powers decrease up to six months of age, and then increase again, a pattern that may be due to the pattern of changes in the adiposity of the infants, as reflected in their body mass indexes (BMIs).

Appetite↗

PubMed2007

Pre-meal water consumption reduces meal energy intake in older but not younger subjects.

OBJECTIVE: To determine whether the consumption of water 30 minutes before an ad libitum meal reduces meal energy intake in young and older adults. RESEARCH METHODS AND PROCEDURES: Healthy, non-obese young (n = 29; age, 21 to 35 years) and older (n = 21; age, 60 to 80 years) individuals were provided with an ad libitum lunch meal on two occasions. Thirty minutes before the lunch meals, subjects were given either a water preload (WP: 375 mL, women; 500 mL, men) or no preload (NP). Energy intake at the two lunch meals was measured. Visual analog scales were used to assess changes in hunger, fullness, and thirst during the meal studies. RESULTS: There was no significant difference in meal energy intake between conditions in the young subjects (892 + 51 vs. 913 +/- 54 kcal for NP and WP, respectively; p = 0.65). However, meal energy intake after the WP was significantly reduced relative to the NP condition in the older subjects (682 + 53 vs. 624 +/- 56 kcal for NP and WP, respectively; p = 0.02). This effect was caused primarily by the reduction in meal energy intake after water consumption in older men. Hunger ratings were lower and fullness ratings were higher in older compared with younger adults (p < 0.01). Fullness ratings were higher in the WP condition compared with the NP condition for all subjects (p = 0.01). No age differences in thirst were detected during the test meals. DISCUSSION: Under acute test meal conditions, pre-meal water consumption reduces meal energy intake in older but not younger adults. Because older adults are at increased risk for overweight and obesity, intervention studies are needed to determine whether pre-meal water consumption is an effective long-term weight management strategy for the aging population.

Adult↗

PubMed1996

The nutritional status of Finnish home-living elderly people and the relationship between energy intake and chronic diseases.

The nutritional status and the impact of non-progressive chronic diseases on energy intake were determined in 90 home-living people aged from 73 to 94 years. The nutritional status was assessed by dietary, anthropometric, biochemical and haematological methods. Energy intake (6.0, SD 1.7 MJ) in women was low compared with the Nordic Nutrient Recommendation but in men it (8.0, SD 2.1 MJ) was in keeping with this recommendation. Despite the low energy intake the mean BMI value of women was moderately high (27, SD 5.3 kg/m2). In men the mean was 26, SD 4.0 kg/m2. The intakes of vitamins and minerals met the recommendation, except for those of folic acid and zinc. The blood levels of both these two nutrients were within reference limits. Men suffering from chronic diseases received less (p < 0.015) energy (7.5, SD 1.76 MJ) than other men (8.9, SD 2.0 MJ). This relationship was not found in women. In conclusion, the nutritional status of people aged over 70 years old living at home was good. The presence of chronic diseases affected the energy intake in men but not in women.

Aged↗

PubMed1998

Energy intake and growth of 3- to 36-month-old German infants and children.

Recently, new estimations of the energy requirements of infants and children were proposed as a basis of new FAO/ WHO energy requirements. We have compared the energy intake of 354 healthy, well-nourished infants taking part in the Dortmund Nutritional and Anthropometric Longitudinal Designed Study (3-day-weighted diet records) with these new estimated energy requirements. The energy intake of breast-fed and formula-fed infants and the energy intake of the 1- to 3-year-old children in the study population corresponded well with the new estimated energy requirements, although these were considerably lower than the 1985 FAO/WHO energy requirements. Breast-feeding rates were lower and the introduction of beikost was earlier than the current recommendations. Height and weight, which were taken as global indicators of the adequacy of the energy intake, were in good accordance with The Netherlands' third nationwide survey. Our data indicate that the new estimations of energy requirement seem to be more appropriate than the 1985 FAO/WHO energy requirements.

Body Height↗

PubMed1990

Validity of reported energy intake in obese and nonobese adolescents.

Daily metabolizable energy intake (ME) and total daily energy expenditure (TEE) were measured in 28 nonobese and 27 obese adolescents over a 2-wk period. Reported ME was significantly (p less than 0.001) lower than measured TEE in both the nonobese and the obese groups (2193 +/- 618 vs 2755 +/- 600 kcal/d and 1935 +/- 722 vs 3390 +/- 612 kcal/d, respectively). Reported ME as a percentage of TEE was significantly lower in the obese than the nonobese group (58.7 +/- 23.6% vs 80.6 +/- 18.7%, respectively). When reported ME was adjusted to account for changes in body energy stores, reported ME still remained significantly lower than TEE in both groups. ME was highly reproducible over the 2-wk period. Intraclass correlation coefficients among days for subjects with complete 14-d diaries were 0.87 and 0.89 for nonobese and obese groups, respectively. In both groups, interindividual variability in ME was significantly greater than intraindividual variability. Our data suggest that reported ME in nonobese and obese adolescents is not representative of TEE or energy requirements.

Adolescent↗

PubMed1989

Acetylsalicylic acid dose fails to affect energy intake of osteoarthritic elderly.

The objective of the study was to determine the effect on energy intake and appetite of acetylsalicylic acid (ASA), commonly used by the elderly to treat arthritis. In a double blind cross-over study, 23 free-living osteoarthritic patients 60 years of age or older were treated for two-weeks intervals with a mean daily ASA intake of 2.44 and 1.29 grams, respectively. Twenty healthy persons similar in age, taking no medication, and matched in sociocultural characteristics were included as a control group. Appetite was measured directly, using a visual analogue scale, and indirectly by calculating energy intake from three-day food records. Varying the dose of ASA was without effect on appetite and food energy intake; however, as appetite was rated lower by the medicated osteoarthritic than by the healthy group, although the energy intakes were not significantly different, the former should be considered as potentially at nutritional risk.

Aged↗

PubMed1997

Comparison of energy expenditure measurements by diet records, energy intake balance, doubly labeled water and room calorimetry.

OBJECTIVES: The purpose of this study was to compare estimates of daily energy expenditure (EE) using energy intake from self reported diet records, metabolizable energy intake balance, doubly labeled water and room calorimetry methods. DESIGN: Cross sectional design. SETTING: Beltsville Human Nutrition Research Center, Beltsville, MD USA. INTERVENTIONS: Energy intake was measured using seven-day self reported diet records (EI), and metabolizable energy (ME) intake balance. EE was measured using doubly labeled water (TEE) and 24 h indirect room calorimetry (24 EE). Body composition was measured using stable isotope dilution and DEXA. RESULTS: EI measured by self reported diet records was 22% less than ME intake balance, 23% less than TEE by doubly labeled water and 8% less than 24 EE by room calorimetry. 24 EE was 16% less than TEE and 16% less than ME. TEE was not significantly greater than ME (0.3%). While mean ME, TEE and 24 EE measurements were significantly lower in female compared to male subjects, mean EI and the mean percent difference between measurement methods were not. CONCLUSIONS: Direct comparison of these methods indicate self reported diet records and room calorimetry underestimate daily energy expenditure. While EI balance accurately estimates energy expenditure, EE measured by doubly labeled water is a more direct approach.

Absorptiometry, Photon↗

PubMed1983

Energy density of diet in relation to energy intake of preschool children from urban and rural communities of different economic status.

Energy intake, total volume (bulk) and the energy density (kcal/ml) of the diets of preschool children of middle and lower-middle economic groups from an urban area and of a rural low economic group were examined. The energy intake of children from the urban area was higher than that of the children from the rural area. The total solid intake in the three groups was not different. However, the energy density of the diets (kcal/ml) of the urban preschool children (1.17 kcal/ml or 4.74 kJ/ml) was significantly higher as compared to the energy density of the diets of rural children (0.74 kcal/ml or 2.94 kJ/ml). The urban children of higher income groups had a much higher intake of fat and milk than the rural poor children, which accounts for the differences in the energy densities of their diets. The results of this study suggest that one of the reasons for low energy intake of rural poor preschool children may be the low energy density of their diets.

Animals↗

PubMed1982

Effect of exercise on energy intake and eating patterns in lean and obese humans.

Twelve obese and four lean subjects increased their energy expenditure by 100 kcal/day by cycling on a bicycle ergometer. The order of testing was alternated so that half of the subjects did exercise on the first three days and the remainder on the last three days. Ad lib energy intake was measured over six days using an automated food dispensing machine. The obese subjects ate 1196 +/- 517 kcal/day and the lean subjects ate 1162 +/- 301 kcal/day and showed no overall significant difference in energy intake or eating patterns. However, these obese subjects ate 18 kcal/day less and the lean subjects ate 155 kcal/day more during the exercise period. The difference in response confirms the hypothesis that lean subjects tend to regulate energy intake more accurately than obese subjects. Exercise increased the frequency of eating and drinking and decreased hunger and appetite for all subjects. There was a significantly greater decrease in hunger and appetite with exercise for the obese subjects. However, as there was no accompanying decrease in energy intake and some subjects had difficulty in completing the exercise, the value of small increases in voluntary exercise in the treatment of obesity is questioned.

Adult↗

PubMed1999

Long-term oral administration of dehydroepiandrosterone has different effects on energy intake of young lean and obese male Zucker rats when compared to controls of similar metabolic body size.

AIM: The effects of dehydroepiandrosterone (DHEA) on appetite and weight in the Zucker rat have been examined by many investigators who have reported appetite suppression and metabolic effects. However, these studies compared the treated animals to controls of a similar age. Since animals of different sizes consume different amounts of food, perhaps the treated animals should be compared to controls of a similar size. We studied the effects of DHEA on energy intake and weight gain and analysed the effects by age and metabolic body size. METHODS: Lean (n = 21) and obese (n = 16) male Zucker rats were fed plain chow or chow containing 6 g DHEA/kg chow (0.6% wt/wt) from age 4 wk to 20 wk. Daily energy intakes and body weights were determined at least once weekly. RESULTS: As expected, the lean and obese rats given DHEA exhibited less daily energy intake (kJ/d) and less weight gain than their respective controls of the same age. The lean rats given DHEA did not exhibit any difference in daily energy intake when determined relative to body weight (b.w.) (kJ x d-1 x g b.w.-1) compared to lean controls of the same metabolic body size, while the obese rats given DHEA exhibited less daily energy intake relative to b.w. (kJ x d-1 x g b.w.-1) compared to obese control of the same metabolic body size. CONCLUSIONS: Though DHEA reduced total energy intake among the lean and obese Zucker rats, only the obese rats exhibited less energy intake relative to b.w. compared to controls of the same metabolic body size. Thus, DHEA may exert different effects on energy intake relative to b.w. in lean and obese Zucker rats and perhaps the lean Zucker rat is a better model for evaluating the metabolic effects of DHEA since it does not exhibit any effect on energy intake relative to b.w. compared to rats of the same metabolic body size.

Animals↗

PubMed1998

Childhood energy intake and adult mortality from cancer: the Boyd Orr Cohort Study.

OBJECTIVE: To examine the relation between energy intake in childhood and adult mortality from cancer. STUDY DESIGN: Cohort study. SETTING: 16 rural and urban centres in England and Scotland. SUBJECTS: 3834 people who took part in Lord Boyd Orr's Carnegie survey of family diet and health in prewar Britain between 1937 and 1939 who were followed up with the NHS, central register. Standardised methods were used to measure household dietary intake during a one week period. MAIN OUTCOME MEASURES: Cancer mortality. RESULTS: Significant associations between childhood energy intake and cancer mortality were seen when the confounding effects of social variables were taken into account in proportional hazards models (relative hazard for all cancer mortality 1.15 (95% confidence interval 1.06 to 1.24), P = 0.001, for every MJ increase in adult equivalent daily intake in fully adjusted models). This effect was essentially limited to cancers not related to smoking (relative hazard 1.20; 1.07 to 1.34; P = 0.001), with similar effects seen in men and women. CONCLUSION: This positive association between childhood energy intake and later cancer is consistent with animal evidence linking energy restriction with reduced incidence of cancer and the association between height and human cancer, implying that higher levels of energy intake in childhood increase the risk of later development of cancer. This evidence for long term effects of early diet confirm the importance of optimal nutrition in childhood and suggest that the unfavourable trends seen in the incidence of some cancers may have their origins in early life.

Adolescent↗

PubMed1996

Dietary starch composition and level of energy intake alter nutrient oxidation in "carbohydrate-sensitive" men.

The effect of dietary starch type on components of 24-h energy expenditure (total, sleep, exercise) were examined in 13 hyperinsulinemic and nine control men, aged 28-58 y. Subjects consumed products containing 70% amylopectin or 70% amylose cornstarch for two 14-wk periods in a crossover design. A 10-wk period of starch replacement in the subjects' self-selected diets was followed by a 4-wk controlled feeding period at 100% maintenance energy intake; diets during the last 4 d of the controlled feeding period provided excess energy, i.e., 125% of maintenance energy. Data for insulin, glucose, 24-h energy expenditure and its components, respiratory quotient and nutrient oxidation were analyzed by ANOVA for mixed models. Although insulin and glucose responses to a starch tolerance test remained greater for hyperinsulinemic than for control subjects, both were reduced with high amylose consumption (P < 0.04). No component of energy expenditure was significantly affected by dietary starch or subject type. However, excess energy intake did increase metabolic energy expenditure (P < 0.0001). Protein oxidation increased with excess energy intake when subjects consumed the high amylopectin starch but did not increase in response to excess energy consumption when the high amylose diet was consumed, suggesting increased protein retention. The magnitude of the response in carbohydrate and fat oxidation was blunted in hyperinsulinemic subjects consuming excess levels of the amylose diet. This may be due to an improvement in overall insulin response or to a change in available substrates for oxidation resulting from microbial fermentation.

Adult↗

PubMed2004

No difference in satiety or in subsequent energy intakes between a beverage and a solid food.

Energy compensation following the consumption of caloric beverages is said to be imprecise and incomplete. This study compared the relative impact on satiety and energy intakes of the physical form of foods versus the timing of consumption. Thirty-two volunteers (16 men and 16 women), aged 18-35 years, consumed equal-energy preloads (1254 kJ, 300 kcal) of regular cola (710 ml, 24 oz) or fat-free raspberry cookies (87 g, 3 oz) on two occasions each. The preloads were presented either 2 h or 20 min before the test meal. Their principal ingredient was sugar. Participants rated motivational states prior to ingestion and at 30-min intervals. A tray lunch was presented at 12:30 p.m., and food consumption was measured. Regular cola and cookies suppressed hunger ratings equally and no temporal difference in satiety was observed. Cola, but not cookies, resulted in lower ratings of thirst. Energy intakes at lunch were lower when the preload was consumed closer to the test meal (20 min) but was not affected by physical form (liquid vs. solid). Cola, but not cookies, reduced water intakes at lunch. There was no satiety deficit following the ingestion of a beverage as compared with a solid food. The timing of consumption may be more important than the physical form of energy consumed.

Adolescent↗

PubMed1999

Energy intake and dietary pattern in cancer of the oral cavity and pharynx.

OBJECTIVE: To explore the role of energy and macronutrients in cancers of the oral cavity and pharynx. METHODS: Case-control study: 754 individuals with first incident cancer of the oral cavity and pharynx and 1775 controls in hospital for acute, non-neoplastic diseases were interviewed in two Italian areas and in the Swiss Canton of Vaud between 1992 and 1997. RESULTS: Cases reported higher total energy intake, due to higher intake of alcohol energy. Non-alcohol energy intake was lower in cases than controls. The composition of diet also differed: proteins (OR for an addition of 100 kcal/day = 0.8) and monounsaturated fatty acids (OR = 0.8) were inversely associated, while saturated fatty acids (OR = 1.4) were directly associated with oral cancer risk. Vegetable intake, which was positively correlated with oil intake, was lower in cases than controls, but accounted only partly for the observed difference in fat intake pattern. CONCLUSIONS: Alcohol energy may not be used efficiently after some threshold. Protein deficiency may enhance cancer risk in heavy drinkers. An opposite influence of different types of fat is emerging for cancer of the oral cavity and pharynx as well as other sites of the upper aero-digestive tract.

Adult↗

PubMed1996

Effect of exercise and dietary restraint on energy intake of reduced-obese women.

Self-selected food intake of 15 reduced-obese women living in a metabolic ward was studied for 14 consecutive days to determine the effect of exercise and other metabolic and behavioral variables on energy intake. A choice of prepared food items were offered at breakfast, lunch and dinner, and a variety of additional food items were available continuously 24 h/day. Subjects performed either moderate intensity aerobic exercise (A-EX) (n = 8) expending 354 +/- 76 kcal/session or low intensity resistance weight training (R-EX)(n =7) expending 96 +/- kcal/session, 5 days/week. Mean energy intakes (kcal/day, +/- SEM) of the exercise groups were similar: 1867 +/- 275 for A-EX, 1889 +/- 294 for R-EX. Mean energy intakes of individuals ranged from 49 to 157% of the predetermined level required for weight maintenance. Resting metabolic rate per kg 0.75 and the Eating Inventory hunger score contributed significantly to the between subject variance in energy intake, whereas exercise energy expenditure did not. Regardless of exercise, eight women consistently restricted their energy intake (undereaters), and seven other consumed excess energy (overeaters). Overeaters were distinguished by higher Eating Inventory disinhibition (P = 0.023) and hunger (p = 0.004) scores. The overeaters' diet had a higher fat content 34 +/- 1% (p = 0.007). Also, overeaters took a larger percentage of their daily energy, than that of undereaters, 27 +/- 1 energy intake in the evening, 13 +/- 2%, compared to undereaters, 7 +/- 1% (p = 0.005). We conclude that the Eating Inventory is useful for identifying reduced-obese women at risk of overeating, and these individuals may benefit from dietary counseling aimed at reducing fat intake and evening snacking.

Adult↗

PubMed1987

Implications of total energy intake for epidemiologic studies of breast and large-bowel cancer.

Animal studies suggest that the energy-restriction hypothesis should be considered in addition to the fat-composition hypothesis as an explanation for the strong international differences in risk of breast cancer. Because of the complex meaning of total energy intake, studies that attempt to examine directly the relationship between energy intake and cancer risk are likely to be misleading. Carefully conducted and interpreted studies of height and relative weight may be more revealing, although they are susceptible to diagnostic bias. These studies may prove useful in expanding our limited knowledge about breast and colon cancer, but they will have few direct implications for public health because individuals are not likely to restrict their energy intake voluntarily to a substantial degree, even if the energy-restriction hypothesis is correct.

Breast Neoplasms↗

PubMed1990

Diet composition, energy intake, and exercise in relation to body fat in men and women.

This study examined the relationships among body fat, diet composition, energy intake, and exercise in adults. Male (n = 107) and female (n = 109) adults aged 18-71 y (36.6 +/- 1.0 y, means +/- SEM) were hydrostatically weighed to determine body fat (5.7-49.0% of total weight). Diet and exercise behaviors were determined by use of a questionnaire. As body fat increased, percent of energy intake derived from fat increased (p less than 0.001) whereas the percent from carbohydrate decreased (p less than 0.001). There was no relationship between energy intake and adiposity although leanness and exercise were related (p less than 0.001). When subgroups of lean and obese subjects were compared, the lean subjects derived approximately 29% of their energy from fat and 53% from carbohydrate vs 35% and 46%, respectively, for the obese subjects. No differences were found between groups for energy intake but the lean individuals exercised more often than did the obese individuals. These data suggest that diet composition may play as important a role in fat deposition as do energy intake and lack of exercise.

Adipose Tissue↗

PubMed2000

Energy density of foods: effects on energy intake.

This article examines the importance of dietary energy density (ED) as a major factor that may influence human appetite and energy intake (EI). The article examines whether the effects of diet composition on appetite and EI can be explained in terms of ED. There is clear evidence that dietary macronutrients exert differential effects on energy intake (EI), both in the laboratory and in real life. Under normal conditions where fat contributes disproportionately to ED, protein, carbohydrate, and fat exert hierarchical effects on satiety in the order protein >carbohydrate > fat. Alcohol appears to stimulate EI. In human appetite studies the main effect of controlling ED is to diminish the impact of differences in the satiating effects of fat and carbohydrate. ED exerts profound effects in constraining EI in short-to-medium term studies. Subjects behave differently in longer term interventions. In short-to-medium term laboratory studies, increases in ED are more effective at increasing EI than at decreasing food intake. In longer term and cross-sectional studies conducted in naturalistic environments, increased ED appears more effective at decreasing food intake and less effective at elevating EI. The available evidence suggests that we should be evolving more complex, multifactor models to account for the observations that both macronutrients and ED affect EI rather than substituting one simplistic model with another.

Air↗