The biopsychosocial model combines patient's subjective perception of their condition with objective measures of their functional limitation. Objective outcomes measured through functional tests are limited temporally and spatially. Hence, they may not reflect real-life capacities of patients. We recently developed an embedded method aimed at characterizing free-gait patterns in patients with chronic pain of lower limbs. The objective is to explore the associations between those gait quality measures and subjective and objective classical clinical measures of walking abilities. Over one week, 66 chronic lower limb pain inpatients (CLLPP) wore a simple accelerometer (Actigraph ® ). Trunk accelerations were measured continuously at 50 Hz across waking hours. In the acceleration signals, one-minute walking bouts were detected specifically. From a preliminary validation study, two gait quality indexes were adopted because of their capacity to differentiate between CLLPP and healthy controls: (1) movement intensity, which is of proxy of walking speed; and (2) gait automaticity, which reflects the degree of cautiousness adopted by the patient while walking. The subjective evaluation by patients of how much their pain interferes with walking abilities (pain interference, PI) was obtained through the brief pain inventory (BPI-Interference subscale). The 6-minute walk test (6 MWT) was used as a clinical and punctual measure of walking ability. Using univariate regressions, significant negative correlations were found between pain interference and 6 MWT ( R 2 = 0.21) and between PI and gait automaticity ( R 2 = 0.15). Similarly, a multivariate model reveals significant association between PI and objective gait measures ( R 2 = 0.27). The results show that patients reporting a higher PI with their walking ability are more likely to exhibit a poor 6 MWT performance and a more cautious gait (lower gait automaticity). In contrast, the absence of correlation between PI and movement intensity may evidence that patients reporting lower PI do not exhibit systematically a higher spontaneous walking speed. Strengths of significant associations are moderate, but nevertheless comparable to associations between self-reported and objective estimates of functional limitations found in the literature. Finally, estimating gait quality in real-life conditions may add useful information to the classical walking ability assessment (i.e. the 6 MWT).