Premium
Influence of minor children and contribution to household income on work hours of female dentists
Author(s) -
Kuthy Raymond A.,
Jennings Adrienne D.,
McQuistan Michelle R.,
Marshall Teresa A.,
Qian Fang
Publication year - 2013
Publication title -
journal of public health dentistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.64
H-Index - 63
eISSN - 1752-7325
pISSN - 0022-4006
DOI - 10.1111/jphd.12022
Subject(s) - minor (academic) , logistic regression , medicine , work hours , demography , full time , household income , working hours , geography , archaeology , labour economics , sociology , political science , law , economics , economic growth
Objective To study the association of having minor children and contribution to household income on weekly work hours of Iowa female dentists. Methods A 28‐question survey was mailed to all active Iowa dentists. This study represents female dentists who responded to the survey ( n = 192; response rate = 63 percent). The dependent variable was whether dentists currently worked full‐ or part‐time (≥32 versus <32 hours/week). The associations of having minor children and the percent women contributed toward their household income were then analyzed using stepwise logistic regression, controlling for covariates (alpha = 0.05). Results Of the respondents, 14.6 percent worked part‐time. Females who had no minor children (40.1 percent) were 3.1 times as likely to work full‐time ( P = 0.0353), and those who contributed >60 percent to household income (57.8 percent) were 3.0 times as likely to work full‐time ( P = 0.0129). The final regression model indicated that those who contributed >60 percent to household income ( P = 0.0096) and had no leave of absence longer than 45 consecutive days within the prior 2 years ( P = 0.0483) were more likely to work full‐time compared with their counterparts. Conclusion Iowa female dentists who provided more than 60 percent to household income and had not taken a leave of absence during the past 2 years were more likely to work full‐time. The inclusion of leave of absence as a predictor variable negates any additional influence of the presence or absence of minor children in the regression model, indicating that these variables are highly correlated for this population.