Effect of consuming a late-night high-protein/moderate-carbohydrate vs. low-protein/high-carbohydrate meal by night workers on their food perceptions later during the day: a randomized crossover study.

It is typical of night workers to consume a large dinner meal before their work shift, even though this practice may increase the risk for metabolic disorders. Night workers usually eat at night to socialize with colleagues as well as to stay alert and to avoid upset stomach during the night shift. However, little is known if and how the composition of the nighttime meal by night shift workers influences their food perceptions and eating behavior later during the day. The aim of this study was to analyze the effect of a high-protein/moderate-carbohydrate (HP/MCHO) meal vs. low-protein/high-carbohydrate (LP/HCHO) meal eaten at night by night-shift workers on their food consumption and perceptions later during the day. Fourteen male night shift workers were followed-up for 7 days for their eating and sleep habits. Then, participants underwent two isocaloric dietary events - one event a HP/MCHO meal containing 45% carbohydrate, 35% protein, and 20% fat and the other event a LP/HCHO meal containing 65% carbohydrate, 15% protein, and 20% fat, with a 6-day washout period between them - at 01:00 h during their night shift. Thereafter throughout the day, participants filled a food register of all the food consumed and perceptions, including hunger before meals, enjoyment of meals, and satiety. Generalized estimating equation analyses were used to examine the effect of both conditions on food consumption and food perceptions. Appetite for salty food snacks was greater after the HP/MCHO condition than after the LP/HCHO condition (p = .041). During the day following consumption of the nighttime HP/MCHO vs. LP/HCHO meal, there was higher percentage of carbohydrate consumption during lunch and a lower percentage of fat consumption during dinner (48.14% vs. 36.98% and 27.34% vs. 40.39%, respectively). These findings suggest the composition in terms of carbohydrates, protein, and fats of the meal consumed for the night shift by night workers may affect later during the day both food consumption and perceptions.

Dietary intake, body composition and metabolic parameters in women with polycystic ovary syndrome.

BACKGROUND & AIMS: Overweight polycystic ovary syndrome (PCOS) patients present exacerbation of clinical symptoms and increased risk for chronic diseases. The effects of inadequate dietary intake have been investigated in body weight gain in PCOS women. The aim of this study was to evaluate the dietary pattern and to analyze possible associations with the metabolism and body composition in PCOS women. METHODS: A case-control study was performed with thirty-nine women diagnosed with PCOS and thirty-five control women, matched by age and body mass index. A body composition assessment was performed by Dual-energy X-ray absorptiometry (DXA) and food intake was assessed using the seven-day food record. The metabolic parameters evaluated were fasting glucose, insulin, Homeostasis Model Assessment-estimated Insulin Resistance (HOMA-IR) index and oral glucose tolerance test (OGTT). RESULTS: No significant differences were observed in dietary intake of women with or without PCOS. In the analysis of the associations between dietary intake, metabolic parameters and body composition, PCOS women showed an inverse correlation between dietetic fiber intake and HOMA-IR index (r = -0.365; p = 0.024). Also in PCOS group, dietary fiber intake presented an inverse correlation with total body fat (r = -0.401; p = 0.011), trunk fat (r = -0.388; p = 0.015), and android fat (r = -0.431; p = 0.006). PCOS women group had higher glucose 120', compared to those without PCOS (p = 0.015). CONCLUSION: These results provide evidence that the adequate intake of dietary fiber contributes to more appropriate body composition and glucose metabolism in PCOS women and possibly toward the prevention of chronic non-communicable diseases.