L. Anne Gilmore

Pregnancy as a window to future health: Excessive gestational weight gain and obesity

Metabolic and behavioral changes that occur during pregnancy have well-known effects on maternal and fetal health during the immediate pregnancy and now are thought to be a catalyst for future health throughout later life. Recommendations for appropriate gestational weight gain (GWG) and lifestyle modifications during pregnancy have changed throughout history as more is known about this crucial time. Herein we discuss the current GWG recommendations and the impact of pregnancy and excess GWG gain on the current and future health of women and children including risk of obesity, gestational diabetes, type 2 diabetes, cardiovascular disease, and metabolic syndrome.

The Technology Boom: A New Era in Obesity Management

As technology continues to develop rapidly, the incidence of obesity also continues to climb at an alarming rate. The increase in available technology is thought to be a contributor in the obesogenic environment, yet at the same time technology can also be used to intervene and improve health and health behaviors. This article reviews the components of effective weight management programs and the novel role that technology, such as SMS, websites, and smartphone apps, is playing to improve the success of such programs. Use of these modern technologies can now allow for individualized treatment recommendations to be delivered to individuals remotely, increased self-monitoring/tracking of health-related data, broader and more rapid dissemination of health information/recommendations, and increased patient–dietician/physician contact. The use of technology in weight management programs results in improved long-term weight management, and in most cases improved cost-effectiveness. Rather than blaming increased food intake and sedentary lifestyle on technology, rapidly developing and innovative technologies should be used to our advantage and deployed to combat the obesity epidemic.

Developmental programming : State-of-the-science and future directions: Summary from a Pennington Biomedical symposium

On December 8–9, 2014, the Pennington Biomedical Research Center convened a scientific symposium to review the state‐of‐the‐science and future directions for the study of developmental programming of obesity and chronic disease. The objectives of the symposium were to discuss: (i) past and current scientific advances in animal models, population‐based cohort studies, and human clinical trials, (ii) the state‐of‐the‐science of epigenetic‐based research, and (iii) considerations for future studies.

Weight gain in pregnancy and application of the 2009 IOM guidelines: toward a uniform approach.

There is an urgent need to adopt standardized nomenclature as it relates to gestational weight gain (GWG), a more uniform approach to calculate it, and hence quantifying adherence to the 2009 Institute of Medicine (IOM) guidelines.

An objective estimate of energy intake during weight gain using the intake-balance method

BACKGROUND Estimates of energy intake (EI) in humans have limited validity. OBJECTIVE The objective was to test the accuracy and precision of the intake-balance method to estimate EI during weight gain induced by overfeeding. DESIGN In 2 studies of controlled overfeeding (1 inpatient study and 1 outpatient study), baseline energy requirements were determined by a doubly labeled water study and caloric titration to weight maintenance. Overfeeding was prescribed as 140% of baseline energy requirements for 56 d. Changes in weight, fat mass (FM), and fat-free mass (FFM) were used to estimate change in energy stores (ΔES). Overfeeding EI was estimated as the sum of baseline energy requirements, thermic effect of food, and ΔES. The estimated overfeeding EI was then compared with the actual EI consumed in the metabolic chamber during the last week of overfeeding. RESULTS In inpatient individuals, calculated EI during overfeeding determined from ΔES in FM and FFM was (mean ± SD) 3461 ± 848 kcal/d, which was not significantly (-29 ± 273 kcal/d or 0.8%; limits of agreement: -564, 505 kcal/d; P = 0.78) different from the actual EI provided (3490 ± 729 kcal/d). Estimated EI determined from ΔES in weight closely estimated actual intake (-7 ± 193 kcal/d or 0.2%; limits of agreement: -386, 370 kcal/d; P = 0.9). In free-living individuals, estimated EI during overfeeding determined from ΔES in FM and FFM was 4123 ± 500 kcal/d and underestimated actual EI (4286 ± 488 kcal/d; -162 ± 301 kcal or 3.8%; limits of agreement: -751, 427 kcal/d; P = 0.003). Estimated EI determined from ΔES in weight also underestimated actual intake (-159 ± 270 kcal/d or 3.7%; limits of agreement: -688, 370 kcal/d; P = 0.001). CONCLUSION The intake-balance method can be used to estimate EI during a period of weight gain as a result of 40% overfeeding in individuals who are inpatients or free-living with only a slight underestimate of actual EI by 0.2-3.8%.

Early Pregnancy Weight Gain Exerts the Strongest Effect on Birth Weight, Posing a Critical Time to Prevent Childhood Obesity

Gestational weight gain (GWG) is associated with infant birth weight and childhood obesity; however, the patterns of GWG on infant birth weight are poorly understood.

Significant improvement in cardiometabolic health in healthy nonobese individuals during caloric restriction-induced weight loss and weight loss maintenance

Calorie restriction (CR) triggers benefits for healthspan including decreased risk of cardiometabolic disease (CVD). In an ancillary study to CALERIE 2, a 24-mo 25% CR study, we assessed the cardiometabolic effects of CR in 53 healthy, nonobese (BMI: 22-28 kg/m2) men ( n = 17) and women ( n = 36). The aim of this study was to investigate whether CR can reduce risk factors for CVD and insulin resistance in nonobese humans and, moreover, to assess whether improvements are exclusive to a period of weight loss or continue during weight maintenance. According to the energy balance method, the 25% CR intervention ( n = 34) produced 16.5 ± 1.5% (mean ± SE) and 14.8 ± 1.5% CR after 12 and 24 mo (M12, M24), resulting in significant weight loss (M12 -9 ± 0.5 kg, M24 -9 ± 0.5 kg, P < 0.001). Weight was maintained in the group that continued their habitual diet ad libitum (AL, n = 19). In comparison to AL, 24 mo of CR decreased visceral (-0.5 ± 0.01 kg, P < 0.0001) and subcutaneous abdominal adipose tissue (-1.9 ± 0.2kg, P < 0.001) as well as intramyocellular lipid content (-0.11 ± 0.05%, P = 0.031). Furthermore, CR decreased blood pressure (SBP -8 ± 3 mmHg, P = 0.005; DBP -6 ± 2 mmHg, P < 0.001), total cholesterol (-13.6 ± 5.3 mg/dl, P = 0.001), and LDL-cholesterol (-12.9 ± 4.4 mg/dl, P = 0.005), and the 10-yr risk of CVD-disease was reduced by 30%. Homeostasis model assessment of insulin resistance (HOMA-IR) decreased during weight loss in the CR group (-0.46 ± 0.15, P = 0.003), but this decrease was not maintained during weight maintenance (-0.11 ± 0.15, P = 0.458). In conclusion, sustained CR in healthy, nonobese individuals is beneficial in improving risk factors for cardiovascular and metabolic disease such as visceral adipose tissue mass, ectopic lipid accumulation, blood pressure, and lipid profile, whereas improvements in insulin sensitivity were only transient.

Development and Application of the Remote Food Photography Method to Measure Food Intake in Exclusively Milk Fed Infants: A Laboratory-Based Study

Background Accurate methods of assessing food intake in infants are needed to assess the relationship between infant feeding practices and risk of childhood obesity. Current methods are either subjective or have limited ability for use beyond clinical research settings. Objective To assess the accuracy of the RFPM to evaluate simulated milk intake including energy, macronutrient, and micronutrient intake compared to direct weighing within a controlled study. Methods Individuals were recruited to prepare three 2 fl oz, 4 fl oz, 6 fl oz, and 8 fl oz servings of infant formula and to capture photographs at different stages of preparation (dry powdered formula, prepared formula, and liquid waste) using the SmartIntake® application. Gram weights of the bottles were obtained by the RFPM and direct weighing. Using the United States Department of Agriculture National Nutrient Database for Standard Reference, energy, macronutrient, and micronutrient values were generated from gram weights. Results Intake of formula prepared from powder measured by the RFPM was equivalent to weighed intake within 7.5% equivalence bounds among all servings and each serving size. The mean difference between methods varied among servings sizes with the RFPM underestimating intake by 1.6 ± 0.4 kcals in 2 fl oz servings, 4.8 ± 0.6 kcals in 4 fl oz servings, and 6.2 ± 1.0 kcals in 6 fl oz servings, and overestimating intake by 0.1 ± 1.2 kcals in 8 fl oz servings. Bland-Altman analysis showed that the RFPM overestimated intake at lower levels food intake and underestimated intake at higher levels. Considering photographs of only the prepared formula bottle and the bottle with formula waste to simulate ready-to-feed formula and human breast milk, intake estimated by the RFPM was equivalent to the directly weighed intake within 7.5% for all servings. Conclusions The RFPM has higher accuracy than subjective methods and similar accuracy as compared to the objective methods in estimating simulated intake of milk and formula with lower burden to caregivers. The RFPM is a viable method for measuring intake in exclusively milk fed infants by caregivers in a controlled environment with potential for widespread use in research and clinical practice.

Anti-aging Effects of Nutritional Modification: The State of the Science on Calorie Restriction

Caloric restriction (CR) has been shown to retard the aging process and ward off diseases, extending the median and maximal lifespan in various models and species. Caloric restriction in humans has been studied through 1) observational studies including the Centenarians from Okinawa, the Biosphere 2 experiment, and the Cronies and 2) randomized clinical trials including the Vallejo Study and CALERIE Phase I. There is increasing evidence that CR improves metabolic and endocrine health, biomarkers of longevity, and decrease cardiovascular and diabetes risk factors even in non-obese humans without negative effects on mood, hunger, quality of life, or cognitive function. Despite the positive effects seen with CR on overall human health, more longitudinal research is needed to determine the ability of CR to increase longevity and lifespan in humans.

Assessing Energy Requirements in Women With Polycystic Ovary Syndrome: A Comparison Against Doubly Labeled Water

Context Weight loss is prescribed to offset the deleterious consequences of polycystic ovary syndrome (PCOS), but a successful intervention requires an accurate assessment of energy requirements. Objective Describe energy requirements in women with PCOS and evaluate common prediction equations compared with doubly labeled water (DLW). Design Cross-sectional study. Setting Academic research center. Participants Twenty-eight weight-stable women with PCOS completed a 14-day DLW study along with measures of body composition and resting metabolic rate and assessment of physical activity by accelerometry. Main Outcome Total daily energy expenditure (TDEE) determined by DLW. Results TDEE was 2661 ± 373 kcal/d. TDEE estimated from four commonly used equations was within 4% to 6% of the TDEE measured by DLW. Hyperinsulinemia (fasting insulin and homeostatic model assessment of insulin resistance) was associated with TDEE estimates from all prediction equations (both r = 0.45; P = 0.02) but was not a significant covariate in a model that predicts TDEE. Similarly, hyperandrogenemia (total testosterone, free androgen index, and dehydroepiandrosterone sulfate) was not associated with TDEE. In weight-stable women with PCOS, the following equation derived from DLW can be used to determine energy requirements: TDEE (kcal/d) = 438 - [1.6 * Fat Mass (kg)] + [35.1 * Fat-Free Mass (kg)] + [16.2 * Age (y)]; R2 = 0.41; P = 0.005. Conclusions Established equations using weight, height, and age performed well for predicting energy requirements in weight-stable women with PCOS, but more precise estimates require an accurate assessment of physical activity. Our equation derived from DLW data, which incorporates habitual physical activity, can also be used in women with PCOS; however, additional studies are needed for model validation.