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. 2014 Dec;56(12):1249-57.
doi: 10.1097/JOM.0000000000000328.

Assessing the relationship between chronic health conditions and productivity loss trajectories

Elyssa Besen  1 , Glenn Pranksy
Affiliations
Free PMC article

Assessing the relationship between chronic health conditions and productivity loss trajectories

Elyssa Besen et al. J Occup Environ Med. 2014 Dec.
Free PMC article

Abstract

Objective: To examine the relationship between health conditions and the risk for membership in longitudinal trajectories of productivity loss.

Methods: Trajectories of productivity loss from the ages of 25 to 44 years, previously identified in the National Longitudinal Survey of Youth (NLSY79), were combined with information on health conditions from the age 40 years health module in the NLSY79. Multinomial logistic regression was used to examine the relative risk of being in the low-risk, early-onset increasing risk, late-onset increasing risk, or high-risk trajectories compared with the no-risk trajectory for having various health conditions.

Results: The trajectories with the greatest probability of productivity loss longitudinally had a greater prevalence of the individual health conditions and a greater total number of health conditions experienced.

Conclusions: Health conditions are associated with specific longitudinal patterns of experiencing productivity loss.

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Conflict of interest statement

Authors Besen and Pransky have no relationships/conditions/circumstances that present potential conflict of interest.

Figures

FIGURE 1.
FIGURE 1.
Trajectories of the probability of productivity loss across ages 25 to 44 years. Reproduced with permission from Besen and Pransky.
FIGURE 2.
FIGURE 2.
Flow chart of chronic health conditions included and excluded in analyses. BMI, body mass index; BP, blood pressure; ENT, ear, nose and throat; UTI, urinary tract infection.
See this image and copyright information in PMC

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