Title |
Alteração no comportamento alimentar de trabalhadores de turnos de um frigorífico do sul do Brasil
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Published in |
Ciência & Saúde Coletiva, August 2015
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DOI | 10.1590/1413-81232015208.18642014 |
Pubmed ID | |
Authors |
Elisângela da Silva de Freitas, Raquel Canuto, Ruth Liane Henn, Beatriz Anselmo Olinto, Jamile Block Araldi Macagnan, Marcos Pascoal Pattussi, Fernanda Michelin Busnello, Maria Teresa Anselmo Olinto |
Abstract |
The relationship between shift work and the eatinghabits of workers was investigated in a slaughterhouse in southern Brazil. It involved a cross-sectional study with 1,206 workers of both sexes between 18 and 50 years of age. A standardized questionnaire was used to gather demographic, socioeconomic, work shift and eating habit information. The shift of work was categorized into daytime and nighttime, based on the starting and ending times of the shift. The eating habits of workers were evaluated as follows: number and type of meals eaten during the 24 hours of a normal day, the inappropriateness of the hoursof these meals and the dietaryrisk score. This was built on the risk score of the weekly consumption of 13 food items. After adjusting for potential confounders, non-Caucasian and younger male workers were more likely to manifest eating risk habits. Nighttimeshift workers consumed ahigher number of meals/day with greater inappropriateness of meal times than daytimeshift workers. The night shift can negatively influence the eating habits of workers of that shift. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 66 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 12 | 18% |
Student > Ph. D. Student | 6 | 9% |
Student > Bachelor | 5 | 8% |
Researcher | 4 | 6% |
Other | 3 | 5% |
Other | 12 | 18% |
Unknown | 24 | 36% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 12 | 18% |
Nursing and Health Professions | 7 | 11% |
Unspecified | 4 | 6% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Agricultural and Biological Sciences | 2 | 3% |
Other | 12 | 18% |
Unknown | 27 | 41% |