Assessing Walking Programs in Fibromyalgia: A Concordance Study between Measures

Abstract

This study analyzes the degree of agreement between three self-report measures (Walking Behavior, WALK questionnaire and logbooks) assessing adherence to walking programs through reporting their components (minutes, rests, times a week, consecutive weeks) and their concordance with a standard self-report of physical activity (IPAQ-S questionnaire) and an objective, namely number of steps (pedometer), in 275 women with fibromyalgia. Regularized partial correlation networks were selected as the analytic framework. Three network models based on two different times of assessment, namely T1 and T2, including 6 weeks between both, were used. WALK and the logbook were connected with Walking Behavior and also with the IPAQ-S. The logbook was associated with the pedometers (Z-score > 1 in absolute value). When the behavior was assessed specifically and in a detailed manner, participants’ results for the different self-report measures were in agreement. Specific self-report methods provide detailed information that is consistent with validated self-report measures (IPAQ-S) and objective measures (pedometers). The self-report measures that assess the behavioral components of physical activity are useful when studying the implementation of walking as physical exercise.

The Role of Walking in the Relationship between Catastrophizing and Fatigue in Women with Fibromyalgia

“…Second, this study is based on self-reported data; in this sense, a relevant limitation is presented by the walking having been assessed using self-reports. It should be noted in this regard that the current study is part of a larger project that previously assessed this same behavior by means of self-administered questionnaires and pedometers, and a high consistency was found between measures [ 67 , 68 , 69 ]. An additional shortcoming is the homogeneity of the sample, which was composed of only fibromyalgia patients.…”

Observational longitudinal association between waking movement behaviours and psychological distress among adolescents using isotemporal analysis: DADOS study

“…This method estimates parsimonious and interpretable network structure in the data, avoids spurious correlations, and handles relatively small datasets (Epskamp et al, 2018). The EBICglasso method was selected due to its applicability to non-normal variables via non-paranormal transformation and to ordinal variables via polychoric or polyserial correlations (Costantini et al, 2015;López-Roig et al, 2022). Continuous lines (i.e., edges) between variables (i.e., nodes) represent that they are related after controlling for all other variables, meanwhile the absence of lines means that variables are not related (Heino et al, 2019).…”

Physical activity correlates in people with fibromyalgia: a systematic review

“…It has also been demonstrated in PwF that when PA self-efficacy levels increase, avoidance behavior is likely to reduce [33]. Psychologically informed physiotherapy, including a combination of interactive education sessions, graded activity, and problem-solving strategies might be effective in improving self-efficacy for PA in patients with widespread chronic pain [85].…”