title: Baby boomers in the United States: Factors associated with working longer and delaying retirement.
abstract: OBJECTIVE
  This study estimated the self-reported probability of working full-time past age 62 (P62) or age 65 (P65) among four cohorts of Americans born between 1931 and 1959.
  
  
  METHODS
  Data from the Health and Retirement Study (HRS) were analyzed. Respondents in four age cohorts were selected for comparison. Multivariable linear regression models were used to assess cohort differences in P62 and P65 while adjusting for covariates.
  
  
  RESULTS
  P62 and P65 increased among boomers despite worsened self-rated health compared to the two preceding cohorts, with 37% and 80% increases among mid-boomers in construction trades. Cohort differences in P62 and P65 remained after controlling for covariates. Changes in pensions, income inequity, and education were significantly associated with work expectations, but SSA policy was not.
  
  
  CONCLUSIONS
  Baby boomers expect to work longer than their predecessors. Efforts to improve work quality and availability for older workers are urgently needed, particularly in physically demanding occupations. Am. J. Ind. Med. 60:315-328, 2017. © 2017 Wiley Periodicals, Inc.
authors.affiliation: CPWR-The Center for Construction Research and Training, Silver Spring, Maryland.
authors.forename: Xiuwen Sue
authors.initials: XS
authors.lastname: Dong
authors.affiliation: CPWR-The Center for Construction Research and Training, Silver Spring, Maryland.
authors.forename: Xuanwen
authors.initials: X
authors.lastname: Wang
authors.affiliation: CPWR-The Center for Construction Research and Training, Silver Spring, Maryland.|Stoneturn Consultants, Seattle, Washington.
authors.forename: Knut
authors.initials: K
authors.lastname: Ringen
authors.affiliation: Department of Human Science, Georgetown University School of Nursing and Health Studies, Washington, District of Columbia.
authors.forename: Rosemary
authors.initials: R
authors.lastname: Sokas
mesh_terms: D000367:Age Factors; D000368:Aged; D015331:Cohort Studies; D060389:Construction Industry / Q000706:statistics & numerical data; D004522:Educational Status; D004651:Employment / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007182:Income; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009790:Occupations / Q000706:statistics & numerical data*; D011640:Public Policy; D012179:Retirement / Q000706:statistics & numerical data*; D012943:Social Security / Q000706:statistics & numerical data; D013997:Time Factors; D014481:United States
keywords: aging workforce; construction workers; health; pension plans; wealth