Around 70% of the culling of Holstein dairy cattle is related to reproductive failures, metabolic disorders, mastitis, and lameness. These culling decisions equate to an estimated loss of one billion dollars annually for US dairy producers. Reducing the incidence of these health events provides a compelling opportunity for dairy breeders to improve the health and profitability of their herds. The objective of this study was to quantify genetic trends for 6 economically impactful health traits: mastitis (MAST), metritis (METR), retained placenta (RETP), displaced abomasum (DA), ketosis (KETO), and lameness (LAME) in US Holsteins. The data consisted of 5,136,242 phenotypic records from 2,457,691 cows from 32,522 sires and 1,006,038 dams. The analysis was performed using the single-step genomic BLUP method under univariate threshold animal model containing a fixed effect of lactation number and random effects of herd x year x season of calving, animal, and permanent environment. The predicted transmitting abilities for wellness traits were expressed as standardized transmitting abilities (STA) with a mean of 100 and a standard deviation of 5. Animals with larger STA values have lower relative disease risk compared with herdmates with smaller STA values. Only consecutive years with at least 20,000 animals for MAST were visualized (1998–2013). The genetic trends estimated for MAST, METR, RETP, DA, KETO, and LAME were 0.11 STA/year, 0.04 STA/year, 0.04 STA/year, 0.09 STA/year, 0.06 STA/year, and 0.02 STA/year, respectively. These genetic trends were consistent with the heritabilities of these traits (<0.1) and indicate slow progress in the absence of opportunities for direct selection. These low rates of change reinforce the need for direct genetic evaluation of relative risk for these traits to improve the health and efficiency of dairy cattle. Direct evaluation of these traits and their inclusion in a multi-trait selection index, will result in a larger response to selection than is currently achieved using correlated traits.