By analysing the cognitive appraisals made by chronic pain patients, clinicians could make better predictions regarding the way they cope and adjust.

This study analyses the relationships between patients' dispositional optimism and pessimism and the coping strategies they use. In addition, the coping strategies repercussions on adjustment to chronic pain were studied. Ninety-eight patients with heterogeneous chronic pain participated. The assessment tools were as follows: Life Orientation Test (LOT), the Vanderbilt Pain Management Inventory (VPMI), the McGill Pain Questionnaire (MPQ), Hospital Anxiety and Depression Scale (HADS), and the Impairment and Functioning Inventory for Chronic Pain Patients (IFI). The hypothetical model establishes positive relationships between optimism and the use of active coping strategies, whereas pessimism is related to the use of passive coping. Active coping is associated with low levels of pain, anxiety, depression and impairment and high levels of functioning. However, passive coping is related to high levels of pain, anxiety, depression and impairment and low levels of functioning. The hypothetical model was empirically tested using the LISREL 8.20 software package and the unweighted least squares method. The results support the hypotheses formulated regarding the relations among optimism, pessimism, coping and adjust of chronic pain patients. By analysing optimism among chronic pain patients, clinicians could make better predictions regarding coping and adjustment.

Positive personality characteristics could play a crucial role in patient adjustment, and thus clinicians should take into account the positive path to capacity to better understand the chronic pain experience.

AbstractBackground/aimsThis longitudinal study investigated the pattern of change in pain intensity, disability, and depression in 232 chronic pain patients who were followed up for 2 years since pain onset. Most studies that have investigated changes in these variables over time have used participants who had already been in pain for more than 3 months. Few studies have followed up individuals from the acute phase onward and such studies used traditional statistical methods that cannot identify transition points over time or measure inter-individual variability.MethodsWe followed up individuals with chronic pain from pain onset up to 18 months and we examined their pain intensity, disability and depression trajectories using a modelling approach that allows to account for between and within-individual variability. We compared three patterns of change based on theoretical criterions: a simple linear growth model; a spline model with a 3-month transition point; and a spline model with a 6-month transition point. Time with pain was selected as time metric to characterise the change in these variables in the transition from acute to chronic pain. Sex and age differences were also examined.ResultsThe results showed that the pain intensity trajectory was best represented by the spline model with a 3-month transition point, whereas disability and depression were best explained by linear growth models. There were sex differences at intercept level in all the models. There were age differences at baseline for pain intensity. No sex or age differences were found for the slope.ConclusionsPain intensity decreased in the first 3 months but underwent no further change. Disability and depression slightly but constantly decreased over time. Although women and older individuals are more likely to report higher pain intensity or pain-related disability in the first three months with pain, no differences by sex or age appear to be associated with the changes in pain intensity, depression and disability through the process of chronification.ImplicationsOur findings suggest that pain chronification could be considered a continuous process and contribute to the ongoing discussion on the utility of standard classifications of pain as acute or chronic from a clinical point of view. Clinical and intervention decisions based in these standard classifications should consider the differences in the trajectories of pain related variables over time. In addition, this article illustrates a statistical procedure that can be of utility to pain researchers.

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