Data Collection
I was recently appointed as a Research Affiliate in the UVM Department of Rehabilitation and Movement Science. The position is unpaid but enables me to fully participate with the two professors I’ve been working with on a research project comparing the biomechanics of runners over 50 and under 30 years of age. The gist of the research is to understand how changes in the strength and flexibility in the lower extremities (ankles, knees, and hips) affects running gait and speed. It’s well established that the “float” (time off the ground) of older runners is shorter than younger runners. It’s also known that this negatively affects stride length, one of the two components of speed (the other being cadence, or turnover.) Thus, this research study measures strength and flexibility in the lower extremity and then has subjects run a 1.5 mile time trial, during which they pass a point 15 times (the UVM track is 1/10th of a mile) where video is taken measuring each leg’s stride length and overall biomechanics. A key goal of the research is to identify chronic weaknesses and imbalances that might lead to injury and by doing so, enable runners to address those things and be able to run into their senior years. We look to recruit 30 runners in each age group. Participants are scheduled for 90 minutes to complete needed paperwork and then do the exercises and time trial.
Subjects in human studies are protected so: their data is held confidential; the perceived benefits from the research outweigh potential risks; there is not undue pressure to participate, and their safety is assured. To be added to the study team, I was required to complete training applicable to research involving human subjects. This enables me to recruit and engage with participants, answer questions, ensure they are eligible, gather their informed consent;, and then assist with data collection. It’s a lot of work on the part of PIs (principal investigators) to develop a study and gain approval from the local (UVM in this case) Institutional Review Board (IRB) and then be directly involved in data collection and analysis. It is due to this commitment on the part of researchers that new knowledge is gained and disseminated.
Before I was added to the team, I was a participant in the study. The data collection was done on the track I regularly run on during the winter. (Great to have this option on cold and snowy days!) Since I regularly strength-train, I thought I would breeze through the strength and flexibility exercises before running the time trial. It was a wakeup call! The warm-up started with walking toe-touches. The goal was to keep the back straight while kicking my leg out and touching my toes. I failed miserably – I was bent over, never got close to my toes, lost balance and nearly fell over. The other warmups were a bit easier. Then it was on the videoed single-legged jumping and flexibility drills. More embarrassment – I barely got off the ground or moved forward. I thought the PI cut me some slack by accepting some of my trials. I wasn’t sure I even wanted to receive the results but decided to opt in. Might clue me in on things I need to do! The time trial was the easiest thing. I typically run half-mile intervals so, 1.5 miles was a push but that was nothing compared to the pre-run exercises.
Fast forward to my involvement as a data collector rather than a “collectee.” My first day we saw five participants, four of whom I had directly or indirectly recruited. (Naturally a key role for me is bringing in the older runners.) It was helpful that I had previously been a study subject — I knew first-hand how difficult the pre-run exercises could be. I commiserated with and offered encouragement to those doing them (most much better than I had!) And counting the laps and cheering folks on during the time trial I trust helped people feel supported.
It’s generally good to put ourselves in new places and situations. Often, we feel disoriented and struggle at first, trying to put one foot in front of the other without stumbling. We learned that way when younger and it seems that really doesn’t change with age. In fact, I wonder if wanting to avoid looking foolish keeps us from doing things that help us maintain a fresh perspective, keep learning, and see something new in what we encounter and people we meet. In a way, our lives are an ongoing opportunity for data collection. Ideally, this is done with others and we learn together.
