title: Factors influencing female registered nurses' work behavior.
abstract: OBJECTIVE
  To analyze factors that are related to whether registered nurses (RNs) work (WK) or do not work (NW) in nursing; and if the RN works, whether she works full- (FT) or part-time (PT).
  
  
  METHODS
  Secondary data from National Sample Survey of Registered Nurses 2000 (NSSRN), the InterStudy Competitive Edge Part III Regional Market Analysis (2001), and the Area Resource File (2002).
  
  
  METHODS
  Using a cross-sectional design we tested the relationship between WK or NW and FT or PT; and demographic, job-related, and metropolitan statistical area (MSA)-level variables.
  
  
  METHODS
  We combined the data sources noted above to produce the analytic sample of 25,471 female RNs.
  
  
  RESULTS
  Working in nursing is not independent of working FT or PT. Age (55 and older), other family income, and prior other work experience in health care are negatively related to working as an RN. The wage is not related to working as an RN, but negatively influences FT work. Age, children, minority status, student status, employment status, other income, and some job settings have a negative impact on working FT. Previous health care work has a positive effect on whether married RNs worked. Married RNs who are more dissatisfied are less likely to work FT. A greater number of market-level factors influence FT/PT than WK/NW behavior.
  
  
  CONCLUSIONS
  An important contribution of this study is demonstrating that MSA-level variables influence RN work behavior. The market environment seems to have little effect on whether a nurse works, but is influential on how much the nurse works, and has differential effects on married versus single nurses.
authors.affiliation: University at Buffalo School of Nursing, 918 Kimball Tower, Buffalo, NY 14214, USA.
authors.forename: Carol S
authors.initials: CS
authors.lastname: Brewer
authors.forename: Christine T
authors.initials: CT
authors.lastname: Kovner
authors.forename: Yow-Wu
authors.initials: YW
authors.lastname: Wu
authors.forename: William
authors.initials: W
authors.lastname: Greene
authors.forename: Yu
authors.initials: Y
authors.lastname: Liu
authors.forename: Cordelia W
authors.initials: CW
authors.lastname: Reimers
mesh_terms: D000328:Adult; D000368:Aged; D003430:Cross-Sectional Studies; D003625:Data Collection; D004651:Employment / Q000145:classification*; D005260:Female; D006801:Humans; D017533:Marital Status; D008875:Middle Aged; D009720:Nurse Clinicians / Q000600:supply & distribution*; D014481:United States