Yes, we've known of post stroke depression for years. QUIT TELLING US IT EXISTS AND JUST FUCKING SOLVE IT BY PREVENTION!
You prevent it by having 100% recovery protocols.
Your patients will be too busy counting reps and looking
forward to recovery.
Longitudinal Trajectories of Post-Stroke Depression Symptom Subgroups
Abstract
Background
Post-stroke
depressive symptoms are prevalent and impairing, and elucidating their
course and risk factors is critical for reducing their public health
burden. Previous studies have examined the course of post-stroke
depression, but distinct depressive symptom dimensions (eg, somatic
symptoms, negative affect [eg, sadness], anhedonia [eg, loss of
interest]) may vary differently over time.Objective
The
present study examined within-person and between-person associations
between depressive symptom dimensions across 3 timepoints in the year
following discharge from in-patient rehabilitation hospitals, as well as
the impact of multiple clinical variables (eg, aphasia).Methods
Stroke
survivors completed the Center for Epidemiologic Depression Scale
(CES-D) at discharge from post-stroke rehabilitation (“T1”) and at
3-month (“T2”) and 12-month (“T3”) follow-ups. Scores on previously
identified CES-D subscales (somatic symptoms, anhedonia, and negative
affect) were calculated at each timepoint. Random intercept cross-lagged
panel model analysis examined associations between symptom dimensions
while disaggregating within-person and between-person effects.Results
There
were reciprocal, within-person associations between somatic symptoms
and anhedonia from T1 to T2 and from T2 to T3. Neither dimension was
predictive of, or predicted by negative affect.Conclusions
The
reciprocal associations between somatic symptoms and anhedonia may
reflect a “vicious cycle,” and suggest these 2 symptom dimensions may be
useful indicators of risk and/or intervention targets. Regularly
assessing depression symptoms starting during inpatient rehabilitation
may help identify stroke survivors at risk for depression symptoms and
facilitate early intervention.Get full access to this article
Abstract
Background
Post-stroke
depressive symptoms are prevalent and impairing, and elucidating their
course and risk factors is critical for reducing their public health
burden. Previous studies have examined the course of post-stroke
depression, but distinct depressive symptom dimensions (eg, somatic
symptoms, negative affect [eg, sadness], anhedonia [eg, loss of
interest]) may vary differently over time.
Objective
The
present study examined within-person and between-person associations
between depressive symptom dimensions across 3 timepoints in the year
following discharge from in-patient rehabilitation hospitals, as well as
the impact of multiple clinical variables (eg, aphasia).
Methods
Stroke
survivors completed the Center for Epidemiologic Depression Scale
(CES-D) at discharge from post-stroke rehabilitation (“T1”) and at
3-month (“T2”) and 12-month (“T3”) follow-ups. Scores on previously
identified CES-D subscales (somatic symptoms, anhedonia, and negative
affect) were calculated at each timepoint. Random intercept cross-lagged
panel model analysis examined associations between symptom dimensions
while disaggregating within-person and between-person effects.
Results
There
were reciprocal, within-person associations between somatic symptoms
and anhedonia from T1 to T2 and from T2 to T3. Neither dimension was
predictive of, or predicted by negative affect.
Conclusions
The
reciprocal associations between somatic symptoms and anhedonia may
reflect a “vicious cycle,” and suggest these 2 symptom dimensions may be
useful indicators of risk and/or intervention targets. Regularly
assessing depression symptoms starting during inpatient rehabilitation
may help identify stroke survivors at risk for depression symptoms and
facilitate early intervention.
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