Association of Baseline Sleep Quality With Trajectories of Depressive Symptoms in Patients Undergoing Interferon Treatment

Abstract

Objective Some patients with hepatitis C (HCV) starting interferon-α (IFN-α) experience depression, although many patients do not develop depressive symptoms. We have found that poor sleep is associated with increased depressive symptoms on average. It is unknown whether this association holds generally or is driven by a specific, distinct subgroup. This investigation first determined whether patterns of change in depressive symptoms form clinically meaningful, distinct sub-groups; and then tested the extent to which sleep disturbances are associated with a less favorable depression trajectory. Method Group-based trajectory modeling was used on 124 HCV patients who started IFN-α therapy. The Pittsburgh Sleep Quality Index (PSQI) assessed pre-treatment sleep, the Beck Depression Inventory minus the sleep question (BDI-s) assessed depression over time, and the Structured Clinical Interview for DSM-IV provided categorical diagnoses. Results Three distinct subgroups were found, where each subgroup shared similar patterns of depressive symptoms over time. The groups were characterized as “non-depressed”, “slow increase”, and “rapid increase”. The non-depressed subgroup (44.4%) experienced low depressive symptoms with little change over time. In comparison, all rapid increasers (11.3%) were diagnosed with a mood disorder by 12 weeks of treatment. The PSQI was strongly associated with group membership,. where the odds of developing a rapid increase was elevated 39% for every unit score increase in the PSQI compared to individuals who remained non-depressed (OR=1.39, 95%CI=1.07–1.80, adjusted for depression at baseline). Conclusion Only a distinct sub-population of people is notably vulnerable to a developing a rapid increase in depression symptoms during IFN-α therapy. This group may be identifiable by their markedly poor sleep prior to IFN-α therapy.

Dietary Fiber Intake in Relation to Knee Pain Trajectory

“…Another limitation is that each WOMAC pain development pattern is relatively steady over time, where participants' pain scores were primarily determined by their baseline levels. Although this is consistent with the findings of the previous study of pain trajectory and with other trajectory studies, such as those on depression and gait speed , this scenario could be due to the so‐called horseracing effect, in which a prolonged condition that has been ongoing before the baseline observation would in general maintain its baseline level over time, unless the important risk factors under investigation, such as dietary intake for WOMAC pain, also change substantially during the study period. But, as mentioned, dietary fiber intake changes little over time; thus, such a stable exposure limits our ability to examine the association between modified dietary fiber intake and WOMAC knee pain patterns over time.…”

Reply

“…With a relatively short period of time and few strong time-varying risk factors for WOMAC pain change in our study, we expect that each WOMAC pain trajectory is relatively steady over time. The WOMAC patterns are similar to other trajectories defined by group-based modeling for depression (6) and gait speed (7). This phenomenon is further supported by Figure below, in which WOMAC pain patterns starting at baseline are materially the same as started from the 12-month exam (1).…”