ABSTRACT
BACKGROUND: Patients receiving home parenteral nutrition (HPN) are known to experience psychological distress and have profoundly disrupted sleep. The aim of this analysis was to examine the relationship between sleep patterns with depressive symptoms and HPN characteristics. METHODS: The study was a secondary analysis of cross-sectional data examining sleep patterns using subjective and objective measures. Sleep was assessed by surveys and 7-day actigraphy. The Patient Health Questionnaire-8 was used to evaluate depressive symptoms. Participants provided information on HPN. Spearman correlations were calculated between sleep measures with depressive symptoms and HPN characteristics. Correlations were further examined in multivariable linear regression models. RESULTS: Thirty-two adults (age = 53 years; 75% female; 94% White) were included. Lower sleep quality (r = 0.54-0.60; P < 0.001) and later sleep timing (r = -0.35; P = 0.049) were correlated with higher depressive symptoms. Sleep patterns were also correlated with several HPN characteristics (r = -0.47 to 0.51). In linear regression models, rate of infusion was associated with sleep duration (ß = -0.004 [0.002] h; P = 0.046) in which each 100 mL/h was associated with 24-min shorter duration. Higher total energy was associated with lower sleep quality (ß = 0.0004 [0.0002] log-unit; P = 0.042), and higher volume was associated with longer sleep onset latency (ß = 0.0006 [0.0003] log-min; P = 0.049). CONCLUSIONS: We provide evidence supporting the link between poor and later sleep with higher depressive symptoms and identify potentially modifiable infusion characteristics (notably, slower rate of infusion and lower total energy and volume) that, on further verification, may support sleep among those receiving HPN.
ABSTRACT
BACKGROUND & AIMS: The Ideal Body Weight (IBW) model has provided dietitians and researchers with a quick method of risk assessment but is known to be imperfect. IBW formulas were developed from anthropometric measurements of life-insurance policy holders obtained between 1885 and 1908, providing statistics of mortality, organized by sex and age. Actuaries of the U.S. life insurance companies published data on the impact of overweight/obese status and mortality risk. Research of the same era repeatedly revealed either no significance or an inverse relationship. The intent of this text is to draw attention to the complexity and overall discussion of utility of the IBW method. METHODS: Reviewed relevant literature from the development of IBW through the recent findings in 2014. RESULTS: Height, weight, and frame fail to consider comorbidities and genetics. IBW formulas assume that weight increases as a linear function of height. Weight has been shown to increase not just as a function of height, but also of volume: body width, trunk length, and musculature. Depending on standards of practice, several equations may be used. CONCLUSIONS: The IBW model is utilized but not limited to creating enteral and parenteral feeding plans, avoiding malnutrition, aiding weight management, identifying transplant eligibility, and determining inclusion or exclusion from research studies. Socially, the significance around "ideal" can impact a weight-centric mentality and negatively affect a large portion of the population. Every individual has a distinct "ideal" body weight based on genetics, environment and lifestyle, which could be represented and assessed effectively with new tools.
