Rotating Shift Work and Menstrual Cycle Characteristics
نویسندگان
چکیده
منابع مشابه
Characteristics of Menstrual Cycle in Shift Workers
BACKGROUND In this study, the characteristics of menstrual cycle in shift workers employed in the pharmaceutical industry are investigated. METHOD This study was conducted in a pharmaceutical industrial complex in Tehran in 2012. 406 female workers in packaging units were studied on the menstrual cycle characteristics. The studied workers were divided into two groups of shift workers and non-...
متن کاملRotating shift work and menstrual characteristics in a cohort of Chinese nurses
BACKGROUND Shift work disrupts the circadian rhythm and may cause menstruation disorders. This study assessed the impact of shift work on menstrual cycle in a population of Chinese nurses. METHODS Questionnaires on menstrual characteristics and shift schedules were sent to female nurses of the First Affiliated Hospital of Sun Yat-sen University (FAHSYSU) and Guanghua Hospital of Stomatology (...
متن کاملNight shift work characteristics and 6-sulfatoxymelatonin (MT6s) in rotating night shift nurses and midwives.
OBJECTIVES Synthesis of melatonin follows a circadian cycle, with high melatonin levels during the night and low levels during the day. Light exposure at night has been hypothesised as one of potential mechanisms of breast carcinogenesis in the night shift workers through inhibition of melatonin synthesis. The aim of the study was to examine a number of determinants for night shift work in rela...
متن کاملRotating night shift work and mammographic density.
BACKGROUND An increased risk of breast cancer has been observed in night shift workers. Exposure to artificial light at night and disruption of the endogenous circadian rhythm with suppression of the melatonin synthesis have been suggested mechanisms. We investigated the hypothesis that rotating night shift work is associated with mammographic density. METHODS We conducted a cross-sectional s...
متن کاملFactors affecting menstrual cycle characteristics.
This 1989-1991 study in California and Utah used daily urinary metabolites of estrogen and progesterone and computer algorithms to assess ovulatory status and day of ovulation. The authors examined the associations of risk factors with menstrual cycle characteristics for 309 working women aged 20-44 years who collected a median of five cycles each of daily urine samples. Linear mixed models wer...
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ژورنال
عنوان ژورنال: Epidemiology
سال: 2011
ISSN: 1044-3983
DOI: 10.1097/ede.0b013e3182130016