Misreporting of dietary energy intake obtained by 24 h recalls in older adults: a comparison of five previous methods using doubly labeled water.

BACKGROUND/OBJECTIVE: To test five different methods to detect misreporting in comparison to doubly labeled water in a sample of older adults. SUBJECTS/METHODS: A cross-sectional study with thirty-eight Brazilian community-dwelling older adults aged 60-84 years, who had their total energy expenditure measured by doubly labeled water (TEEDLW). Dietary data were collected by two 24 h recalls. Misreporting was compared with estimates obtained by the methods proposed by: Goldberg et al. [1, 2], Black [3], McCrory et al. [4], Huang et al [5], and Rennie et al [6]. Bland-Altman plots with 95% limits of agreement were constructed to assess the agreement between rEI and TEEDLW. Weighted kappa coefficients, sensitivity and specificity analyses, and area under the receiving operator characteristic curve (AUC) were used to test the performance of each method. RESULTS: The prevalence of under-reporters (UR) and over-reporters (OR) obtained by the reference (DLW) were 57.9% (n = 22) and 5.3% (n = 2), respectively. Black [3] presented the worst agreement and McCrory et al. [4] the best one to accurately classify individuals in the three categories of energy reporting. McCrory et al. [4] had the best performance in the sensitivity and specificity analyses detecting UR and plausible reporters. CONCLUSIONS: There was a high prevalence of misreporting, especially underreporting, in this sample of community-dwelling Brazilian older adults. The study showed a wide variation in the accuracy of predictive methods to handle misreporting, with none of the equations showing outstanding agreement with the reference. When DLW is not available, a valid method should be chosen to address energy intake reporting.

Associations between markers of glucose metabolism and bone measures among diabetic and non-diabetic adults.

PURPOSE: To investigate the relationships between bone measures, vitamin D status and markers of glucose metabolism among diabetic and non-diabetic adults. METHODS: Cross sectional study with 298 adults (mean age 57.5 years, SD = 14.8; 44.3% male, 16.9% diabetic) participants of the Health Survey-São Paulo (ISA-Capital) 2014-2015. Blood samples were collected to assess serum glucose, insulin and 25 hydroxyvitamin D [25(OH)D] concentrations. Dual-energy x-ray absorptiometry (DXA) was performed to determine total body fat; total lean mass; full body bone mineral density (BMD); lumbar spine BMD and bone mineral content (BMC); and femur BMD and BMC. Fat mass index (FMI), lean mass index (LMI), quantitative insulin sensitivity check index (QUICKI), homeostasis model assessment of insulin resistance (HOMA-IR) and of ß-pancreatic cell function (HOMA-ß) were calculated. Linear regression analysis were performed. RESULTS: Multiple bone measures were associated with markers of glucose metabolism in analyses adjusted by age and sex. However, after additional adjustments by LMI, FMI and serum 25(OH)D, only associations of lumbar spine BMC with HOMA-IR (ß = 0.167; p = 0.035) and QUICKI (ß = -1.879; p = 0.027) persisted, in the subgroup of diabetic participants. Analysis restricted to diabetic subjects revealed stronger correlations between bone parameters and markers of glucose metabolism. CONCLUSIONS: Our study observed positive associations between BMD and markers of insulin resistance among a sample of adults. Correlations were stronger among diabetic subjects, and some associations between bone and glucose metabolism were independent of adiposity. Findings reinforce the need of further research for better understanding the bidirectional and multifactorial crosstalk between glucose homeostasis and bone metabolism.

Estimating total daily energy requirements in community-dwelling older adults: validity of previous predictive equations and modeling of a new approach.

BACKGROUND/OBJECTIVES: Accurate estimation of energy requirements is crucial for health maintenance and prevention of malnutrition in older adults. This study aimed to assess the accuracy of predictive equations for estimating energy requirements in older adults and to test the validity of new predictive equations for this age group. SUBJECTS/METHODS: This is a cross-sectional study including 38 Brazilian community-dwelling older adults aged 60-84 years, who had their total energy expenditure measured by doubly labeled water (TEEDLW). The energy expenditure was compared to the Institute of Medicine (Dietary Reference Intake (DRI)) and Vinken et al. previous predictive equations and three predictive models developed in a modeling sample. The agreement was assessed using intra-class correlation coefficient, Bland-Altman plots, and Lin's concordance correlation. Accuracy was evaluated considering ±10% of the ratio between estimated and measured energy expenditure. RESULTS: The mean (standard deviation) TEEDLW was 2656.7 (405.6) kcal/day for men and 2168.9 (376.9) for women. Vinken et al. and both DRI equations presented moderate to good degree of agreement, while the developed models vary from fair to very good agreement in comparison to DLW. The accuracy rate was the same for both DRI equations and Vinken et al. equation (60.53%). The new equations developed in this study had accuracy in predicting TEE for Brazilian older adults varying from 43.11% to 73.68%. CONCLUSIONS: The results corroborate the use of previous predictive equations for estimating energy requirements in Brazilian older adults. Further studies have the potential to explore the use of the developed models to assess energy needs in this population.

High parathyroid hormone levels are associated with poor balance in older persons: A cross-sectional study.

OBJECTIVES: A high level of parathyroid hormone (PTH) was recently identified as a risk factor for falling. As balance instability is one of the major risk factors for falls, we aimed to investigate whether high PTH concentrations are associated with poor balance in older persons. STUDY DESIGN: Cross-sectional study with 127 community-dwelling older adults (75% female), aged 65-96 years, at the Falls and Fracture Clinic, Western Health-Sunshine Hospital, Melbourne, Australia. Patients with clinical conditions that could affect balance (e.g. Meniere's disease), denosumab users, and those with advanced kidney failure were excluded. MAIN OUTCOME MEASURES: We assessed dynamic balance by timed "up and go" (TUG)and four-square step tests, and by gait parameters; and static balance by posturography on a force platform. Blood tests provided values of PTH, vitamin D, calcium, albumin, and creatinine. Standard questionnaires were applied to assess clinical condition, medications and nutritional status, and to screen for depression. RESULTS: For dynamic balance, elevated PTH concentrations resulted in increased time to complete the TUG test (ß = 0.13; 95%CI: 0.01-0.26), indicating worse performance. For static balance, increased PTH was associated with increased instability in the center of pressure while standing with eyes closed on a hard surface (ß = 0.38; 95%CI: 0.03-0.73). Both models were controlled for vitamin D, renal function, nutritional and depressive status, age, sex, and number of medications. CONCLUSION: Increasing concentrations of PTH in this population of older persons had an independent negative association with both static and dynamic balance, which could place them at risk of falls. However, longitudinal studies are still required.