Journal Pre-proof Profiles of psychological adaptation outcomes at discharge from spinal cord injury inpatient rehabilitation Mayra Galvis Aparicio, MSc, Valérie Carrard, PhD, Davide Morselli, PhD, Marcel W.M. Post, PhD, Claudio Peter, PhD, the SwiSCI Study Group PII:
S0003-9993(19)31112-8
DOI:
https://doi.org/10.1016/j.apmr.2019.08.481
Reference:
YAPMR 57669
To appear in:
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
Received Date: 30 July 2019 Accepted Date: 17 August 2019
Please cite this article as: Aparicio MG, Carrard V, Morselli D, Post MWM, Peter C, the SwiSCI Study Group, Profiles of psychological adaptation outcomes at discharge from spinal cord injury inpatient rehabilitation, ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION (2019), doi: https:// doi.org/10.1016/j.apmr.2019.08.481. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2019 Published by Elsevier Inc. on behalf of the American Congress of Rehabilitation Medicine
Running head: Spinal Cord Injury Adaptation Profiles Title: Profiles of psychological adaptation outcomes at discharge from spinal cord injury inpatient rehabilitation Authors: Mayra Galvis Aparicio, MSc1,2, Valérie Carrard, PhD1,2, Davide Morselli, PhD 3, Marcel W.M. Post, PhD 4,5, Claudio Peter, PhD 1,2, and the SwiSCI Study Group 1. Department of Health Sciences and Health Policy, University of Lucerne, Lucerne, Switzerland 2. Swiss Paraplegic Research (SPF), Nottwil, Switzerland 3. Swiss National Center of Competence in Research LIVES, University of Lausanne, Switzerland 4. Center of Excellence for Rehabilitation Medicine, Brain Center Rudolf Magnus, University Medical Center Utrecht and De Hoogstraat, Utrecht, The Netherlands 5. University of Groningen, University Medical Center Groningen, Department of Rehabilitation Medicine, Groningen, the Netherlands. Presented at the 32nd Annual Conference of the European Health Psychology Society, August 23, 2018, Galway, Ireland, and at the 8th Conference of the European Spinal Psychologists Association, March 21, 2019, Zürich, Switzerland. Funding: This study has received financial support from the Swiss National Science Foundation, SNSF (Grant No. 100019_165484). Acknowledgments:
This study has been conducted in the framework of the Swiss Spinal Cord Injury Cohort Study (SwiSCI, www.swisci.ch ), supported by the Swiss Paraplegic Foundation. The members of the SwiSCI Steering Committee are: Xavier Jordan, Bertrand Léger (Clinique Romande de Réadaptation, Sion); Michael Baumberger, Hans Peter Gmünder (Swiss Paraplegic Center, Nottwil); Armin Curt, Martin Schubert (University Clinic Balgrist, Zürich); Margret Hund-Georgiadis, Kerstin Hug (REHAB Basel, Basel); Thomas Troger (Swiss Paraplegic Association, Nottwil); Daniel Joggi (Swiss Paraplegic Foundation, Nottwil); Hardy Landolt (Representative of persons with SCI, Glarus); Nadja Münzel (Parahelp, Nottwil); Mirjam Brach, Gerold Stucki (Swiss Paraplegic Research, Nottwil); Christine Fekete (SPF Coordination Group at Swiss Paraplegic Research, Nottwil). Disclosure of interest: None. Corresponding Author and request for reprints: Dr Valerie Carrard Swiss Paraplegic Research Guido A. Zäch Strasse 4, 6207 Nottwil, switzerland +41 41 939 6587
[email protected]
1
PROFILES OF PSYCHOLOGICAL ADAPTATION OUTCOMES AT DISCHARGE
2
FROM SPINAL CORD INJURY INPATIENT REHABILITATION
3
Objective: To evaluate the impact of a newly acquired Spinal Cord Injury by identifying
4
profiles of psychological adaptation outcomes at discharge from inpatient rehabilitation,
5
using several outcome measures in parallel and to examine biopsychosocial factors associated
6
with profile membership.
7
Design: Cross-sectional analysis of data from the National Cohort Study (name edited for
8
blind review).
9
Setting: Inpatient Rehabilitation.
10
Participants: 370 individuals 16 years old or older with recently diagnosed SCI, who
11
finished clinical rehabilitation in one of the four major national rehabilitation centers.
12
Interventions: Not applicable.
13
Main Outcome Measures: Life satisfaction, general distress, and symptoms of depression
14
and anxiety were assessed using a single item from the International SCI Quality of Life
15
Basic Data Set, the Distress Thermometer, and the Hospital Anxiety and Depression Scale
16
respectively.
17
Results: Using latent profile analysis, four profiles of psychological adaptation outcomes
18
were identified displaying different levels of impact, ranging from minimal to severe.
19
Regarding covariates associated with profile membership, higher optimism, purpose in life,
20
and self-efficacy indicated a higher probability of having a Minimal impact profile.
21
Additionally, males, individuals with better functional independence, and those with an
22
absence of pain were more likely to show a Minimal impact profile.
1
23
Conclusion(s): Amongst the participants, 70% showed Minimal or Low impact profiles. Our
24
findings support that individuals can show positive responses across several outcome
25
measures even at an early time after the injury onset (e.g. at discharge from inpatient
26
rehabilitation). Moreover, our results indicate that beyond functional independence,
27
improvement and pain management, a rehabilitation process that strengthens psychological
28
resources might contribute to better adaptation outcomes.
29
Keywords: Spinal cord injuries; Psychological Adaptation; Rehabilitation; Self-Efficacy;
30
Optimism
31
List of abbreviations
32
BIC Bayesian Information Criterion
33
BLRT Bootstrapped Likelihood Ratio Test
34
HADS Hospital Anxiety and Depression Scale
35
LMR Lo-Mendell-Rubin likelihood ratio test
36
LPA Latent Profile Analysis
37
NCS National Cohort Study (name edited for blind review)
38
SCI Spinal Cord Injury
2
39
Spinal cord injury (SCI) is a life-changing event that demands a multidisciplinary
40
rehabilitation process. Besides regaining functioning and independence, rehabilitation goals
41
are restoring the psychological state of the injured individuals and preparing them for
42
reintegration into the community [1,2]. Thus, the discharge from inpatient rehabilitation
43
constitutes a key time point to evaluate how individuals are adapting to the challenges posed
44
by their SCI.
45
Psychological adaptation is a multidimensional and temporal process in response to adverse
46
life events, which can lead to more or less positive outcomes [3]. These outcomes indicate the
47
extent of the impact of the stressful event on individuals’ lives at a certain point in time. As
48
posited in theoretical models such as Livneh and Antonak’s Adaptation to Chronic Illnesses
49
and Disabilities Model [4] or the SCI adjustment model [5,6], psychological adaptation
50
outcomes are influenced by multiple biopsychosocial covariates that can act as resources or
51
as stressors.
52
Substantial individual differences exist in how individuals adapt to SCI [7]. Although it has
53
been found that they are at higher risk for psychological disorders such as depression or post-
54
traumatic stress disorder [7-9], longitudinal studies indicate that they may actually follow
55
different trajectories such as chronic distress or resilience [10-12]. Furthermore, sustaining an
56
SCI does not preclude the experience of happiness and satisfaction with life [7,13-15], nor the
57
perception of growth in different domains (e.g. perception of personal strengths) [16,17]. To
58
understand this diversity of responses to SCI requires a shift in focus from overall outcome
59
mean scores, which may obscure individual differences, towards the application of person-
60
centered analyses that enable the identification of heterogeneous patterns of response [18,19].
61
Moreover, it demands the analysis of multiple psychological adaptation outcomes [20],
62
including the presence or absence of psychiatric symptoms in addition to indicators of well-
63
being [18,21]. Indeed, adapting to an SCI cannot be equated to the absence of mental health 3
64
problems [22], and the study of single outcomes disregards the multidimensionality of
65
psychological adaptation because critical life events can have a differential impact on various
66
well-being dimensions [20,23]. For instance, it has been found that after the loss of a loved
67
one (e.g. partner, child), individuals may not show symptoms of depression and still have a
68
negative evaluation of their own life or experience low positive affectivity [20,24].
69
Simultaneously studying several outcome measures of mental health and well-being with
70
person-centered analytical techniques such as latent profile analysis (LPA) enables a
71
multidimensional understanding of psychological adaptation, featuring the heterogeneity of
72
SCI’s psychological impact. These techniques can then be used to test the association
73
between covariates and each profile to identify potential protective and aggravating factors
74
[25,26]. Therefore this study aimed at evaluating the impact of a newly acquired SCI by (1)
75
identifying profiles of psychological adaptation outcomes across life satisfaction, distress,
76
depressive symptoms, and anxiety symptoms at discharge from inpatient rehabilitation and (2)
77
examining biopsychosocial factors associated with membership to the identified profiles.
78
Previous studies on adverse life events (e.g. chronic illnesses and disabilities, spousal
79
bereavement, divorce) have identified at least three patterns of adaptation outcomes: one
80
characterized by the best-identified outcomes, a second one showing poor outcomes, and a
81
third one displaying outcomes in moderate levels [25-28]. Therefore, we expected to identify
82
at least these three profiles among our study sample. Finally, based on studies analyzing the
83
relationship between different biopsychosocial factors and life satisfaction, depression, or
84
anxiety, we expected profile membership to be associated with self-efficacy, purpose in life,
85
and optimism [29-32], as well as pain and functional independence [33-35], but not with
86
other biomedical (age, sex, injury characteristics) nor social factors (partnership status).
87
METHODS
4
88
Design and Participants
89
A cross-sectional study was performed using rehabilitation discharge data from the ongoing
90
National Cohort Study (NCS; name edited for blind review) conducted in the four major
91
national rehabilitation centers [36]. NCS was approved by the regional ethics committees and
92
all participants gave written informed consent. Participants were assessed during clinical
93
rehabilitation at four time points after diagnosis of SCI, including rehabilitation discharge.
94
The present study considered 884 eligible individuals undergoing rehabilitation between May
95
2013 and April 2018. From those, 97 refused to any kind of data collection, 348 only
96
consented the use of minimal data collected in the clinics (e.g. basic sociodemographic,
97
neurological, and medical information, SCI etiology, and lesion characteristics), and 69 did
98
not complete questionnaires regarding psychological adaptation outcomes at rehabilitation
99
discharge. The final sample was composed of 370 participants (see Figure 1).
100
Measures
101
Psychological adaptation outcomes
102
Life satisfaction. Participants rated their life satisfaction level in the past four weeks on a
103
scale from 0 (completely dissatisfied) to 10 (completely satisfied), using one item from the
104
International SCI Quality of Life Basic Data Set [37] which shows good convergent validity
105
[38].
106
Distress. Using the single item from the Distress Thermometer [39], participants rated on a
107
scale from 0 to 10 how much distress they were experiencing. Higher scores indicate higher
108
distress, and a value of 4 indicates clinically relevant levels of general distress [40]. This item
109
has acceptable levels of sensitivity to detect psychiatric morbidity [41].
5
110
Symptoms of anxiety and depression were assessed using the two subscales of the Hospital
111
Anxiety and Depression Scale (HADS) [42] validated among individuals with SCI [43].
112
Values between 8 and 10 of each subscale sum scores are considered mild symptoms, 11 to
113
14 moderate, and 15 to 21 severe [44,45].
114
Biopsychosocial Covariates
115
Information regarding sex, age, time since injury diagnosis, etiology of the SCI (traumatic vs.
116
non-traumatic), injury level (tetraplegia vs. paraplegia/intact), and injury completeness
117
(complete vs. incomplete) were retrieved from the patients’ records. Additionally, the
118
following factors were included:
119
Presence of pain. Using one self-reported item, participants indicated whether or not they
120
experienced pain during the last week.
121
Functional independence was rated by health practitioners using the validated Spinal Cord
122
Independence Measure III [46,47] Total sum score ranges between 0 and 100. Higher scores
123
represent better performance or independence.
124
General Self-efficacy was assessed with a modified 5-item version of the General Self-
125
efficacy Scale [48] which showed satisfactory reliability in an SCI sample [49]. It assesses
126
the strength of the individual’s belief in their own ability to respond to new difficult
127
situations on a scale from 1 (not at all) to 4 (completely). Higher total sum scores indicate
128
higher self-efficacy.
129
Purpose in life was assessed with the Purpose in Life Test–Short Form [50], which has shown
130
strong reliability in an SCI sample [51]. It consists of four items rated on a scale from 1 to 7.
131
Higher total sum scores indicate higher perceived purpose in life.
6
132
Optimism was assessed using a modified 6-item version of the Life Orientation Test-Revised
133
[52]. This validated test [53] assesses general expectancies for positive outcomes. In this
134
version, individuals rated statements regarding their current state of optimism on a scale from
135
0 (strongly disagree) to 4 (strongly agree) [54]. Higher total sum scores indicate higher
136
optimism.
137
Partnership status. Participants reported whether they had a permanent partner at the onset of
138
SCI or not.
139
Data Analysis
140
All analysis were conducted using Mplus 8 and the reporting of this study is based on the
141
STROBE statement [55]. To identify the profiles of psychological adaptation outcomes,
142
exploratory LPA was conducted. LPA is a person-centered analytic technique, used to
143
identify relatively homogeneous subgroups of individuals within a larger heterogeneous
144
sample, based on their answers to observed continuous variables [56]. Several models with an
145
increasing number of profiles were tested and compared. A maximum likelihood estimator
146
with robust standard errors was used to adjust for the slight non-normal distribution of the
147
outcome measures [57] (see Table 1). The means and variances of the adaptation outcomes
148
were freely estimated to account for potentially unequal variances across profiles, and all
149
models were implemented using different sets of starting values to avoid local maxima
150
solutions [58-60]. Three goodness-of-fit indices were used to select the model with the best-
151
fitting number of profiles: the Bayesian Information Criterion (BIC; lower values indicate
152
better model fit), the Lo-Mendell-Rubin likelihood ratio test, and the Bootstrapped
153
Likelihood Ratio Test (LMR and BLRT; significant p values indicate that the model is
154
preferred over a model with one less profile) [61]. Besides fit indices, the profiles’
155
interpretability and theoretical relevance, the entropy indicator (higher entropy indicates
7
156
higher classification accuracy), and the profiles’ proportion were considered (fewer profiles
157
with at least 5% of the sample were preferred over many profiles with fewer individuals)
158
[60].
159
Covariates associated with profile membership were tested using the 3-step approach
160
proposed by Vermunt [62]. This procedure performs a multinomial logistic regression after
161
identifying the best-fitting number of profiles to avoid the effects of covariate
162
misspecification and to control for individual’s misclassification rates [63,64].
163
The rate of missing data varied between 0.81% and 18.92% (see Table 1). Missing in the
164
adaptation outcomes was addressed using Full Information Maximum Likelihood, whereas
165
missing in the covariates were imputed using multiple imputation in Mplus (20 imputed
166
datasets). Data were imputed at the sum score level, but the items of each scale were included
167
in the imputation model to reduce information loss [65]. Profile membership probabilities
168
were also included to account for the fact that LPA assumes the existence of unobserved
169
subpopulations [65-67]. RESULTS
170
171
Sample Characteristics
172
Table 1 depicts the descriptive characteristics of the study participants. Comparative analysis
173
indicate that participants had better functional independence than all non-participants, had
174
longer time since injury than individuals who did not complete questionnaires at
175
rehabilitation discharge, and were slightly younger and reported more often incomplete
176
injuries than those who only consented the use of minimal data collected in the clinics (see
177
Table 2).
178
Latent Profile Analysis
8
179
Models with two to six profiles were estimated and compared. The 4-profile model was
180
selected as the best-fitting solution because it showed the lowest BIC and significant LMR
181
and BLRT (see Table 3). Moreover, its entropy and proportion of individuals per profile were
182
satisfactory.
183
Potentially influential outliers were investigated using scatter plots of the Cook’s D against
184
each psychological adaptation outcome. Two potentially influential outliers with Cook’s D
185
values higher than 1 were identified. These two outliers showed “inconsistent” patterns of
186
response (e.g. high scores in life satisfaction and high scores in depressive symptoms).
187
Models excluding these two outliers were implemented and indicated that the 4-profile
188
solution remained the best-fitting one. Further analyses were conducted without these
189
outliers.
190
Figure 2 depicts the estimated means and 95% confidence interval for the four identified
191
profiles of psychological adaptation outcomes. The profiles were characterized by different
192
levels of impact and labelled as: Minimal impact (32.6%), Low impact (37.3%), Mild impact
193
(23%), and Severe impact (7.1%). Minimal impact displayed the lowest scores in depressive
194
symptoms, anxiety symptoms, and distress as well as the highest scores in life satisfaction.
195
Low impact showed high life satisfaction, depressive and anxiety symptoms below the cutoff
196
scores of the HADS, and clinically relevant levels of distress according to the distress
197
thermometer. Mild impact displayed mild symptomatology of depression and anxiety as well
198
as high distress and low life satisfaction. Severe impact showed clinically relevant symptoms
199
of depression and anxiety, the highest level of distress, and the lowest level of life
200
satisfaction. Plots of the means and observed individual values for each profile are displayed
201
in Figure 3 and show fairly distinctive individual patterns of response. (Estimated means and
202
95% confidence interval for each profile can also be found in supplementary Table 1. The
203
correlation between the study variables are displayed in supplementary Table 2). 9
204
Covariates Associated with Profile Membership
205
Table 4 presents the results of the multinomial logistic regression using profile membership
206
as dependent variable. Male individuals and higher scores in purpose in life or optimism
207
increased the likelihood to be part of the Minimal impact profile compared to any other
208
profile. Additionally, individuals with better functional independence had higher chances to
209
display a Minimal impact profile compared to Low or Severe impact, and those with
210
paraplegia or intact injury, absence of pain, or higher self-efficacy were more likely in
211
Minimal impact than in Mild impact. However, the effect of injury level was only marginally
212
significant. Age, time since injury, etiology of the SCI, injury completeness, and having a
213
partner at SCI onset were not significantly associated with profile membership.
214
Sensitivity Analysis
215
To check the robustness of the results, the multinomial logistic regression analysis was
216
repeated with complete cases only (n=255) instead of imputed data. Results using Minimal
217
impact as comparison group remained fairly the same, except that the effect of functional
218
independence and Self-efficacy became non-significant (when compared to Low and Mild
219
impact respectively) and the effect of tetraplegia became significant (when compared to Low
220
impact). Such minor changes in the results can be expected as the size of each profile was
221
reduced by nearly 30% due to missing data.
222
In regards to the Severe impact profile, results were less robust (i.e. significant effects
223
appeared for purpose in life, age, functional independence, pain, and partnership status when
224
compared to Low and Mild impact). This profile was the smallest and had the highest
225
reduction due to missing data (n=15). Thus, results regarding the Severe impact profile
226
should be interpreted cautiously.
10
DISCUSSION
227
228
As hypothesized, we identified several profiles of psychological adaptation outcomes
229
displaying different levels of impact, ranging from minimal to severe. These findings
230
coincide with studies suggesting a varying degree of adaptation outcomes among individuals
231
with chronic illnesses and disabilities [10,12,13,28,68]. Such heterogeneity is not identifiable
232
when studying overall mean scores and support that individuals can show positive responses
233
across several outcome measures early after injury onset. Still, outcomes observed at
234
rehabilitation discharge may improve or decline as individuals face the new challenges of
235
reintegrating into the community. Therefore, longitudinal studies are needed to understand
236
what contributes to maintaining positive adaptation outcomes beyond the clinical setting.
237
We did not identify any profile characterized by a differential impact of SCI on the
238
adaptation outcomes (e.g. high life satisfaction and elevated symptoms of depression or
239
anxiety). Although such pattern of response could be noted for some participants (see Figure
240
3), these individuals were not representative enough to form a profile. However, with a larger
241
sample, a profile with such characteristics could have emerged. Future studies analyzing
242
longitudinally and simultaneously several adaptation outcome measures could reveal such
243
heterogeneity because the effects of SCI could be longer-lasting for some indicators than for
244
others [23,24].
245
We identified 32.6% of the participants displaying a profile characterized by minimal
246
psychological impact of SCI at rehabilitation discharge. In fact, the Minimal Impact profile
247
showed rates of life satisfaction comparable to the National general population (M = 8.34 and
248
8.00, respectively) [69]. This type of profile characterized by the best-identified outcomes has
249
been usually labeled as Resilient and has been reported as the most prevalent in studies on
250
psychological adaptation to spousal bereavement or divorce [25,26]. Similarly, studies on the
11
251
longitudinal development of depression or anxiety following SCI have identified Resilient
252
trajectories (i.e. stable low depression) as being the most prevalent among individuals with
253
SCI [10,11,68]. In contrast, our most prevalent profile was Low impact (37.3%; significant
254
distress and lower life satisfaction than Minimal Impact). This result might be due to
255
methodological choices of previous studies using mixture modeling, which set the outcomes’
256
variances to be equal across classes. This has been criticized because it seems to cause an
257
overestimation of resilient responses after potentially traumatic events [70]. Minimal impact
258
following SCI might thus be less common than previously reported.
259
Previous studies have estimated the prevalence of clinically relevant levels of depression and
260
anxiety among individuals with SCI to be 22 and 27% respectively [9,71]. In our sample,
261
around 30% of the individuals showed elevated symptoms of either depression, anxiety, or
262
both (Mild and Severe impact profiles). These individuals would particularly benefit from
263
interventions targeting factors related to better psychological adaptation profiles following
264
SCI.
265
Covariates Associated with Profile Membership
266
As hypothesized, self-efficacy, purpose in life, and optimism were associated with more
267
positive adaptation outcomes at rehabilitation discharge (i.e. Minimal or Low impact
268
profiles). Previous studies have consistently found that self-efficacy and purpose in life
269
contributed to better mental health and well-being after SCI [29,30,32,72,73]. Optimism has
270
also been found to contribute to better psychological outcomes [29,32,68,74]. This highlights
271
the need for fostering psychological resources during the clinical rehabilitation, a setting that
272
has been described as overly focused on physical issues and less attentive to individuals’
273
emotional needs [75-77]. Indeed, reports of interventions fostering optimism or purpose in
274
life during inpatient rehabilitation are scarce. However, self-efficacy has been effectively
12
275
increased by cognitive-behavioral techniques, peer mentoring, or multimedia resources,
276
which can reduce levels of depressive mood, and anxiety, and improve medical outcomes
277
(e.g. decubitus prevention) [77-79].
278
Better functional independence and absence of pain were also associated with displaying a
279
Minimal impact profile. While some studies reported no associations between functional
280
limitations and psychological adaptation to SCI [10,80,81], others coincide with our findings
281
and identified positive effects of functioning on life satisfaction [13,34]. However,
282
individuals that experience pain have been consistently found to be at a greater risk for
283
having poor adaptation outcomes [11-13]. These results underline the negative impact of
284
pain, providing basis to argue that it should be a priority intervention target. Note that
285
absence of pain, like higher self-efficacy, was not significantly associated with membership
286
to Minimal impact compared to Severe impact profile. These surprising results might be due
287
to the higher variation and the smaller sample size of the Severe impact profile. Additionally,
288
measures such as pain intensity could have been more informative regarding profile
289
differences than the dichotomous item used in this study.
290
Unexpectedly, our results indicate that males are more likely to show a Minimal impact
291
profile than any other identified profile. Previous findings regarding sex seem contradictory;
292
whereas some indicate a higher risk of mental health disorders among women compared to
293
men [82,83], others indicate that males have a higher likelihood of depression or anxiety after
294
rehabilitation discharge [84]. Thus, further studies are needed to confirm whether or not sex
295
should be considered in the interventions to enhance psychological adaptation to SCI.
296
As hypothesized, we did not identify significant effects of age or injury-related characteristics
297
on profile membership. However, our study participants were slightly younger and reported
298
more often incomplete injuries than non-participants who only consented the use of minimal
13
299
data. This reduced the variability of our sample regarding age and lesion completeness; thus,
300
the effect of these variables might have been more difficult to identify. Still, our findings
301
coincide with past studies indicating no effect of age or injury characteristics on
302
psychological adaptation [11-13,85]. Finally, we did not find significant associations between
303
partnership status and profile membership. Former studies have also not identified
304
associations between partnership status and life satisfaction or depression [11,86,87] or
305
suggested that marriage does not necessarily enhance well-being [88]. Other factors such as
306
social support or relationship satisfaction could be more relevant to explain adaptation
307
outcomes following SCI [89,90].
308
Study Limitations
309
The present study is subject to several limitations. First, the pre-SCI level of individuals’ life
310
satisfaction, distress, depression, and anxiety was not considered. Clearly, this information is
311
not easily available, but individuals’ mental health history would contribute to discriminate
312
between psychological disturbances due to the injury and those that participants already
313
experienced before SCI. Second, psychological adaptation is a process and its outcomes may
314
change with time. Due to the cross-sectional character of our study, we do not know how the
315
psychological adaptation outcomes developed during the inpatient rehabilitation (e.g.
316
following a trajectory of resilience, recovery, or worsening), nor how they will change after
317
discharge. Thus, the longitudinal and simultaneous analysis of several adaptation outcome
318
measures during and after inpatient rehabilitation is needed since psychological adaptation
319
should be considered in its multidimensional as well as in its temporal character [3]. This
320
could be complemented with qualitative methods to broaden the understanding of the
321
development of the psychological adaptation process following the onset of an SCI.
322
Furthermore, the proportion of individuals in the Severe impact profile was small (n = 24)
14
323
and could have obscured differences regarding covariates such as pain and self-efficacy.
324
Moreover, some vulnerable individuals may have been excluded, because our sample was
325
composed of individuals that were in better physical conditions than non-participants and
326
disregarded individuals whose participation was not supported by the physicians (due to
327
physical or psychological condition; n=16). Thus, our findings may not be generalizable for
328
the most functionally impaired individuals with SCI. Finally, other factors such as spirituality
329
or appraisals, which have been associated with adaptation outcomes after SCI [10,31] were
330
not included in this study. Thus, potential predictors of profile membership may be missing.
331
CONCLUSIONS
332
Using data from a population-based cohort study and adopting a comprehensive approach to
333
the investigation of psychological adaptation outcomes following SCI, we identified that the
334
majority of individuals showed positive outcomes at the end of SCI rehabilitation, displaying
335
Minimal or Low impact profiles. However results from this study also indicate that a large
336
portion of individuals (30%) likely require tailored interventions to facilitate their
337
psychological adaptation process. Intervention planning to facilitate psychological adaptation
338
to SCI should acknowledge the complexity of this process by considering biological,
339
psychological, and social factors. Indeed, the present study identified several potentially
340
modifiable covariates which constitute avenues for interventions during rehabilitation.
341
Beyond functional independence improvement and pain management, strengthening
342
psychological factors might contribute to better adaptation outcomes and in turn facilitate the
343
return to the community for individuals with a recently acquired SCI.
15
344 345 346
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SUPPLIERS
605
606 607
a. Muthén, L.K. and Muthén, B.O. (1998-2017). Mplus Software version 8. Los Angeles, CA.
27
FIGURE LEGENDS
608
609
Figure 1. Participation flow-chart
610
611
Figure 2. Estimated mean scores and 95% confidence interval of the identified profiles
612
(N=368)
613
614
Figure 3. Profiles’ estimated mean scores and observed individual values (N=368).
615
Note: Solid lines represent profiles’ means.
28
Table 1. Descriptive characteristics of the study participants at rehabilitation discharge (N=370) Variable
Mean (SD)
Range
n (%)
Missing n (%)
α
Skewness
Kurtosis
Psychological adaptation outcomes Depressive symptoms
4.84 (3.87)
0 - 19
-
10 (2.70)
.82
0.93
3.43
Anxiety symptoms
4.87 (3.93)
0 - 19
-
3 (0.81)
.84
0.99
3.80
Life Satisfaction
6.51 (2.25)
0 - 10
-
3 (0.81)
-
-0.61
3.04
Distress
4.69 (2.61)
0 - 10
-
6 (1.62)
-
0.07
2.20
0 (0.00)
-
-
-
Covariates Sex (Male) Age
-
-
264 (68.65)
53.79 (16.54)
16 - 87
-
0 (0.00)
-
-
-
Time since injury (in days)
158.18 (83.71)
25 - 485
-
0 (0.00)
-
-
-
Length of stay in rehabilitation
137.90 (78.38)
4 - 425
-
0 (0.00)
-
-
-
SCI etiology (Traumatic)
-
-
218 (58.92)
0 (0.00)
-
-
-
Injury level (Tetraplegia)
-
-
133 (36.74)
8 (2.20)a
-
-
-
Injury level (Paraplegia)
-
-
217 (59.94)
8 (2.20)a
-
-
-
Injury level (Intact)
-
-
12 (3.31)
8 (2.20)a
-
-
-
Injury completeness (Incomplete)
-
-
306 (84.53)
8 (2.20)a
-
-
-
Pain (Presence of)
-
-
241 (65.31)
1 (0.27)
-
-
-
Functional independence
73.05 (23.33)
5 - 100
-
8 (2.16)
-
-
-
General self-efficacy
15.92 (2.68)
5 - 20
-
21 (5.68)
.84
-
-
Purpose in life
22.23 (4.18)
5 - 28
-
16 (4.32)
.85
-
-
Optimism
17.01 (4.57)
5 - 24
-
26 (7.03)
.76
-
-
70 (18.92)
-
-
-
Partner at onset of SCI (Yes)
-
-
215 (71.66)
Note. a indicates rate of missing data after completion with the latest assessment available in the medical records
Table 2. Comparison between participants and non-participants of the study Non-participants
Participants (n=370)
Minimal data only (n=348)
No discharge data (n=70)
n (%)
n (%)
t
df
x2
254 (68.65)
232 (66.67)
-
-
0.32
53.79 (16.54)
58.11 (19.65)
3.20**
716
158.18 (83.71)
160.58 (89.70)
0.37
716
SCI etiology (Traumatic)
218 (58.92)
195 (56.93)
-
Injury level (Tetraplegia)
133 (36.74)
93 (33.57)
Injury level (Paraplegia)
217 (59.94)
Variable Sex (Male) Age (M; SD) Time since injury (M; SD)
Injury level (Intact) Incomplete injury
t
df
x2
48 (68.57)
-
-
0
-
51.67 (19.11)
0.95
438
-
-
125.48 (88.63)
2.97**
438
-
-
0.61
38 (54.29)
-
-
0.52
-
-
0.99
18 (37.50)
-
-
0.11
172 (62.09)
-
-
-
28 (58.33)
-
-
-
12 (3.31)
12 (4.33)
-
-
-
2 (4.17)
-
-
-
306 (84.53)
215 (78.18)
-
-
4.23*
38 (82.61)
-
-
0.11
73.05 (23.33)
61.00 (28.55)
5.34**
552
-
1.68*
418
-
n (%)
Functional independence (M; SD) *p < .05, **p < .01.
67.36 (27.64)
Table 3. Goodness-of-fit Indices No of Profiles
BIC
LMR (p)
BLRT (p)
Entropy
n per profile
N = 370 2
6899.01
<.001
<.001
.84
200/170
3
6817.12
.186
<.001
.79
150/146/74
4
6801.20
.004
<.001
.78
133/122/85/30
5
6804.62
.045
<.001
.78
130/108/64/37/31
6
6831.66
.594
.428
.81
121/100/54/38/34/23
N = 368 (potentially influential outliers excluded) 2
6841.04
<.001
<.001
.84
201/167
3
6758.90
.118
<.001
.79
150/145/73
4
6743.62
.006
<.001
.79
133/125/86/24
5
6746.70
.030
.020
.79
128/108/71/37/24
6
6780.63
.738
1.000
.81
114/106/78/37/24/9
Note. BIC = Bayesian Information Criterion; LMR = Lo-Mendell-Rubin likelihood ratio test; BLRT = Bootstrapped likelihood ratio test. Bold indicates final selected model.
Table 4. Covariates associated with profile membership Minimal impact vs.
Low impact vs.
Low impact
Mild impact
Severe impact
Mild impact
Covariates
Estimate S.E.
Estimate S.E.
Estimate S.E.
Estimate S.E.
Sex (Male)
-1.99** 0.60
Mild impact vs.
Severe impact Estimate
Severe impact
S.E.
Estimate
S.E.
-2.13**
0.66
-2.71**
0.91
-0.15
0.45
-0.73
0.75
-0.58
0.77
Age
0.01
0.02
0.02
0.02
-0.03
0.04
0.01
0.02
-0.04
0.04
-0.05
0.04
Time since injury
0.00
0.00
0.00
0.00
-0.01
0.01
0.00
0.00
-0.01
0.01
-0.01
0.01
-0.03
0.52
-0.05
0.65
-1.90
1.28
-0.02
0.54
-1.86
1.21
-1.84
1.30
0.91
0.58
0.64
-0.17
1.95
0.20
0.50
-1.07
1.86
-1.28
1.92
-0.72
0.90
1.14
-0.93
1.45
0.30
0.81
-0.21
1.20
-0.51
1.40
0.11
0.52
0.86
-0.35
1.58
1.84*
0.82
-0.46
1.50
-2.30
1.72
-0.07
0.04
Etiology (Traumatic) Tetraplegia Complete SCI Pain
1.11 -0.42 1.95*
Functional -0.05** 0.02
-0.03
0.02
-0.09*
0.05
0.02
0.01
-0.04
0.04
Self-efficacy
-0.09
-0.34*
0.15
-0.05
0.19
-0.25**
0.10
0.04
0.15
Purpose in life
-0.29** 0.09
-0.37**
0.10
-0.66**
0.25
-0.07
0.07
-0.37
0.23
-0.30
0.23
Optimism
-0.22** 0.08
-0.51**
0.11
-0.75**
0.17
-0.29**
0.08
-0.53**
0.16
-0.24
0.13
independence 0.14
0.29*
0.15
Partner (Yes)
-0.72
0.70
-0.80
0.75
0.88
1.60
-0.08
0.54
1.60
1.51
1.68
1.55
Note. N = 359: 9 cases where not included in the multinomial logistic regression, because data regarding injury level and completeness could not be recovered from previous assessment times. Minimal impact n=125; Low impact n=133; Mild impact n=86; Severe impact n=24.
p < .10, *p < .05, **p < .01
NCS (name edited for blind review) inclusion criteria: • 16 years or older • Permanent residence in Country (name edited for blind review) • New diagnosis of traumatic or non-traumatic SCI • First inpatient rehabilitation in one of the collaborating rehabilitation centers Exclusion criteria: • Congenital conditions (e.g. spina bifida) • New SCI in the context of palliative (end-of-life) care • Neurodegenerative disorders (e.g. multiple sclerosis)
884 eligible individuals between May 2013 and April 2018 444 did not consent to answer NCS questionnaires • 97 Refused to any kind of data collection • 74 did not want to take part in the study • 7 No data due to organizational reasons • 16 Participation was not supported by the responsible physician (medical or psychological reasons) • 348 Minimal data only: only consented the use of routine data collected in the clinics (e.g., basic sociodemographic, neurological, and medical information, SCI etiology, and lesion characteristics) 440 consented to answer questionnaires 69 No discharge data: did not complete questionnaires at rehabilitation discharge • 19 Questionnaire refusal • 20 Short stay or sudden discharge • 8 Consent withdrawal • 7 Medical reasons • 3 Death • 3 Insufficient language skills • 9 Other reasons 371 answered to questionnaires at rehabilitation discharge 1 Answered to only one psychological adaptation outcome 370 Study participants
16 15 14 13 12
Depressive symptoms Anxiety symptoms Distress Life satisfaction
11
Mean scores
10 9 8 7
6 5 4 3 2 1 0
Minimal impact (32.6%)
Low impact (37.3%)
Mild impact (23%)
Severe impact (7.1%)
Low impact
20
20
15
15
10
●
●
●
●
Score
Score
Minimal impact
10
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
● ●
5
●
●
5
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
Depressive symptoms
Anxiety symptoms
Distress
Life satisfaction
●
●
●
●
●
●
●
●
●
Depressive symptoms
Anxiety symptoms
Distress
● ●
● ●
●
0
●
0 Life satisfaction
Outcome
Outcome
Mild impact
Severe impact
20
20 ●
●
●
10
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
5
15
●
Score
Score
15
●
10
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
●
● ●
●
●
●
●
●
●
●
●
●
●
●
5 ●
●
●
● ●
●
●
●
●
0 Depressive symptoms
●
0
●
Anxiety symptoms
Distress Outcome
Life satisfaction
Depressive symptoms
●
Anxiety symptoms
Distress Outcome
Life satisfaction