The Effects of Pre and Post Exercise Low-Level Laser Therapy on Biochemical Markers of Skeletal Muscle Fatigue in Equines

Our objective was to determine whether administering low-level laser therapy before or after exercise had the greatest effect on biochemical markers of skeletal muscle fatigue in equines such as cortisol and blood lactate. Twelve quarter horses were divided into three groups: Group A received no laser therapy, Group B received laser therapy before exercise, and Group C received laser therapy after exercise. A Class II ERCHONIA ® PL500 handheld low-level laser was utilized for treatment with a wavelength of 635nm. Exercise was utilized using a horse walker system for 30 minutes five days a week for three weeks. Blood was collected via jugular venipuncture at time zero and then once a week for the remainder of the study. According to the results of this study, there is no evidence to suggest that laser therapy had a significant effect on equine cortisol or lactate, regardless if it was performed before or after exercise. However, there was an interaction between group and time for both lactate and cortisol. The results also showed that lactate increased as time increased as a result of lactic acid build up due to exercise, and cortisol decreased over time, which could be due to several possible variables such as weather. Several factors could have altered the results of this study, such as age, gender, weather, and diet of the equine subjects

Data Snapshot: Fewer Young Adults Lack Health Insurance Following Key ACA Provisions

T he share of people without health insurance has dropped dramatically since the implementation of the Affordable Care Act (ACA), but declines have been most dramatic among young adults age 19 to 25. In 2008, one-in-three 23-year-olds were uninsured, likely reflecting their graduation from college and therefore, their ineligibility to be covered on parental plans. Beginning in 2010, the ACA allowed young adults to remain on their parents’ plans until age 26; the orange line in Figure 1 reflects this shift, as 26-year-olds, rather than 23-year-olds, became the most often uninsured by 2013

Data Snapshot: Nine Million Publicly Insured Children in the Twelve States Facing Federal CHIP Cutoff by End of Year

Funding for the Children’s Health Insurance Program (CHIP)—the federal program that extends health insurance coverage to low income children not eligible for traditional Medicaid—officially expired on September 30, 2017. Given that states implement CHIP in different ways, states will run out of funds at different times, with twelve states exhausting their federal allotment by the end of 2017

Working Families’ Access to Early Childhood Education

In this brief, using data from the Census Bureau, state administrative systems, and a Carsey survey of working parents, author Jessica Carson examines the child care landscape of the Upper Valley of New Hampshire and Vermont and links these findings to a discussion of early childhood education policy and practice. She reports that 96 percent of Upper Valley parents surveyed said child care is necessary in order for them to work. The number of slots offered by licensed (home- and center-based) early childhood education providers in the Upper Valley is 2,000 short of the estimated number of young children whose parent or parents are in the labor force. Further, the cost of licensed care for an Upper Valley family with just one infant is equivalent to 16 percent of median family income, more than twice the 7 percent that the federal government considers affordable. She discusses possible multipronged strategies and policies to address the challenges working parents face accessing early childhood care and education in the Upper Valley and beyond

Data Snapshot: SNAP Declines Continue in 2016, but Not for Rural Places

In 2016, 12.4 percent of households reported Supplemental Nutrition Assistance Program (SNAP, or food stamps) receipt, down 0.4 percentage point from 2015. Similar declines in suburbs and cities drove the national decrease, but the 14.8 percent of rural households receiving SNAP did not significantly change between 2015 and 2016