I have collected time series data for four single case experiments to evaluate the effects of an intervention of chronic low back pain. One of the participants pain levels appears to demonstrate micro-seasonality in the plotted data by fluctuations every three weeks.
My rudimentary understanding is: data seasonality and micro seasons is a term used to describe rhythmical' fluctuation's in time series data in sales and economic analyses.
An experience of micro-seasonality in pain level is logical for people with persistent non-specific pain as their activities and stress levels fluctuate with habits and physiological states. Has this been observed in any pain research?
YES, OF COURSE !, especially in situations of intense cold, humidity or both together (among others).
Thank you my question is specifically: Has this been documented in research evidence?
And then:
Are the dimensions of the data explored? What are the clinical implications of rhythmical variations (over a week or a month or a year) in pain levels for health practitioners? Is time series outcome data used in clinical practice rather than ‘on-the-day’ data snapshots?
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