| Full text | |
| Author(s): |
Mota, Maria Carliana
[1]
;
Waterhouse, Jim
[2]
;
De-Souza, Daurea Abadia
[3]
;
Rossato, Luana Thomazetto
[1]
;
Silva, Catarina Mendes
[1]
;
Jeha Araujo, Maria Bernadete
[4]
;
Tufik, Sergio
[5]
;
de Mello, Marco Tulio
[6]
;
Crispim, Cibele Aparecida
[1]
Total Authors: 9
|
| Affiliation: | [1] Univ Fed Uberlandia, Fac Med, BR-38405320 Uberlandia, MG - Brazil
[2] Liverpool John Moores Univ, Sch Human Sci, Liverpool L3 5UX, Merseyside - England
[3] Univ Fed Uberlandia, Fac Med, Dept Internal Med, BR-38405320 Uberlandia, MG - Brazil
[4] Univ Fed Uberlandia, Fac Med, Dept Pediat, BR-38405320 Uberlandia, MG - Brazil
[5] Univ Fed Sao Paulo, Sleep Inst, Dept Psychobiol, Sao Paulo - Brazil
[6] Univ Fed Sao Paulo, Dept Psychobiol, Sao Paulo - Brazil
Total Affiliations: 6
|
| Document type: | Journal article |
| Source: | CHRONOBIOLOGY INTERNATIONAL; v. 31, n. 10, p. 1130-1138, DEC 2014. |
| Web of Science Citations: | 17 |
| Abstract | |
Shift work and long hours of work are common in medical training and have been associated with a higher propensity for developing nutritional problems and obesity. Changes in leptin and ghrelin concentrations - two hormones that contribute importantly to the central regulation of food intake - are poorly described in this population. The aim of this study was to identify possible negative associations between sleep patterns, nutritional status and serum levels of adipokines. The study included 72 resident physicians (52 women and 20 men) who underwent the following assessments: nutritional assessment (3-day dietary recall evaluated by the Adapted Healthy Eating Index), anthropometric variables, fasting metabolism, physical activity level, sleep quality and sleepiness. Resident physicians with poor sleep quality reported greater weight gain after the beginning of residency (5.1 and 3.0 kg, respectively; p=0.01) and higher frequency of abnormal waist circumference (44.2 and 17.6%, respectively; p=0.04) than those with better sleep quality. Mean ghrelin concentration was greater in volunteers with poor sleep quality (64.6 +/- 67.8 and 26.2 +/- 25.0 pg/mL, respectively; p=0.04). Women identified as having excessive daytime sleepiness had lower levels of leptin (9.57 +/- 10.4 ng/mL versus 16.49 +/- 11.4 ng/mL, respectively; p = 0.03) than those without excessive sleepiness. Furthermore, correlations were found between hours of additional work per week and: intake of cereals, bread and pasta (r = 0.22, p = 0.01); intake of servings of fruits (r = -0.20; p = 0.02) and beans (r = -0.21; p = 0.01); and global score for Adapted Healthy Eating Index (r = -0.23; p = 0.008; Table 3). The sleep quality total score correlated with servings of beans (r = -0.22; p = 0.01) and servings of oils (r = 0.23; p = 0.008). Significant correlations were found between mean of time of sleep and servings of cereals, bread and pasta (r =0.20; p = 0.02), servings of meat (r = -0.29; p = 0.02) and cholesterol levels (r = 0.27; p = 0.03). These observations indicate that sleep patterns and long working hours of resident physicians are negatively associated with biological markers related to central food control, the lipid profile, cholesterol levels and eating healthy foods. These factors may predispose these shift workers to become overweight and develop metabolic disorders. (AU) | |
| FAPESP's process: | 98/14303-3 - Center for Sleep Studies |
| Grantee: | Sergio Tufik |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |