title: Gender and sleep in nightworkers: a quantitative analysis of sleep in days off.
abstract: Differences in sleep patterns between workdays and days off contribute to shiftwork effects on workers' health and well-being. But regardless of shift schedules, female workers face more difficulties in fulfilling their sleep need because of housework. This study analyzes gender differences concerning sleep in days off by comparing sleep patterns in male and female nightworkers, analyzing sleep as related to the presence of children and testing the association of sleep features between workdays and days off. Male (n = 16) and female (n = 30) workers at a plastic plant, working from 10 p.m. to 6 a.m., on weekdays, filled sleep logs for seven consecutive weeks. Male and female samples did not differ in length of night sleep or in total length of sleep. For both samples, sleep length/day in days off increased, but the difference was lager among females. Also important were the relations between sleep in workdays and days off, specially among women. Among female workers, the results indicated that workers with children tended to sleep less in Saturday mornings, suggesting a negative effect of motherhood on sleep not restricted to workdays. The general results indicate that sleep need on the one hand, and social factors on the other determine the actual amount of sleep.
authors.affiliation: Laboratory of Education on Environment and Health, Department of Biology, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil.
authors.forename: L
authors.initials: L
authors.lastname: Rotenberg
authors.forename: L F
authors.initials: LF
authors.lastname: Portela
authors.forename: R A
authors.initials: RA
authors.lastname: Duarte
mesh_terms: D000328:Adult; D001938:Brazil; D002648:Child; D002654:Child Care / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D007221:Industry / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D010561:Personnel Staffing and Scheduling / Q000706:statistics & numerical data*; D010969:Plastics; D012737:Sex Factors; D012890:Sleep; D014931:Women, Working / Q000706:statistics & numerical data*; D014940:Work Schedule Tolerance / Q000523:psychology*
chemical_list: D010969:Plastics