Employment and coronary risk in women at midlife: a longitudinal analysis.
This study investigated the relation between employment and cholesterol in 541 women aged 42-50 years who resided in Allegheny County, Pennsylvania, in 1985-1988. Employment, health-related variables, and cholesterol were assessed at baseline and 3 years later. At baseline, employed and nonemployed women did not differ in cholesterol or health behaviors. However, women employed at baseline had a significant decrease in total high density lipoprotein cholesterol (1.9 mg/dl) and high density lipoprotein2 cholesterol subfraction (3.2 mg/dl) at follow-up. Those who were employed at both assessments had the lowest high density lipoprotein cholesterol at follow-up. These effects could not be accounted for by sociodemographics or employment quality variables. Post hoc analyses were conducted to examine health behaviors as a potential mechanism to account for the association between employment status and cholesterol. Over the study period, those who were employed at baseline were less likely to increase exercise and more likely to gain weight than those who were not employed at baseline. With menopause-related changes in metabolism, this can result in detrimental effects for cholesterol levels and coronary health. The results highlight the importance of longitudinal assessment in the study of employment and health.
Department of Psychology, Yale University, New Haven, CT, USA.
J R
JR
Ickovics
A C
AC
Morrill
A W
AW
Meisler
J
J
Rodin
J T
JT
Bromberger
K A
KA
Matthews
D000328:Adult; D000704:Analysis of Variance; D015992:Body Mass Index; D002784:Cholesterol / Q000097:blood*; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D003327:Coronary Disease / Q000097:blood; D004651:Employment / Q000706:statistics & numerical data*; D005260:Female; D015438:Health Behavior; D006801:Humans; D007588:Job Satisfaction; D008137:Longitudinal Studies; D008875:Middle Aged; D010414:Pennsylvania; D017697:Premenopause / Q000097:blood; D012044:Regression Analysis; D012307:Risk Factors; D014931:Women, Working / Q000706:statistics & numerical data*
D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D002784:Cholesterol