Profiles of Psychological Adaptation Outcomes at Discharge From Spinal Cord Injury Inpatient Rehabilitation

Profiles of Psychological Adaptation Outcomes at Discharge From Spinal Cord Injury Inpatient Rehabilitation

Journal Pre-proof Profiles of psychological adaptation outcomes at discharge from spinal cord injury inpatient rehabilitation Mayra Galvis Aparicio, M...

2MB Sizes 0 Downloads 49 Views

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

REFERENCES 1.

Crewe, N. and J.S. Krause, Spinal cord injury, in Medical, psychosocial and

347

vocational aspects of disability, M.G. Brodwin, et al., Editors. 2009, Elliott &

348

Fitzpatrick, Inc.: Athens, Greece. p. 289-304.

349

2.

2015. 6: p. 8-16. DOI: 10.5312/wjo.v6.i1.8.

350 351

Nas, K., et al., Rehabilitation of spinal cord injuries. World Journal of Orthopedics,

3.

Biesecker, B.B. and L. Erby, Adaptation to living with a genetic condition or risk: A

352

mini-review. Clinical Genetics, 2008. 74: p. 401-407. DOI: 10.1111/j.1399-

353

0004.2008.01088.x.

354

4.

Livneh, H., Psychosocial adaptation to chronic illness and disability: A conceptual

355

framework. Rehabilitation Counseling Bulletin, 2001. 44: p. 151-160. DOI:

356

10.1177/003435520104400305.

357

5.

Middleton, J. and A. Craig, Psychological challenges in treating persons with spinal

358

cord injury, in Psychological aspects associated with spinal cord injury

359

rehabilitation: New directions and best evidence, A. Craig and Y. Tran, Editors. 2008,

360

Nova Science Publisher: NY. p. 3-53.

361

6.

Craig, A., Y. Tran, and J. Middleton, Theory of adjustment following severe

362

neurological injury: Evidence supporting the Spinal Cord Injury Adjustment Model, in

363

Horizons in neuroscience research, A. Costa and E. Villalba, Editors. 2017, Nova

364

Science Publishers, Inc.: New York, NY.

365

7.

review. Spinal Cord, 2012. 50: p. 382-389. DOI: 10.1038/sc.2011.182.

366 367

Post, M.W. and C.M. van Leeuwen, Psychosocial issues in spinal cord injury: a

8.

Craig, A., et al., Prospective study of the occurrence of psychological disorders and

368

comorbidities after spinal cord injury. Archives of Physical Medicine and

369

Rehabilitation, 2015. 96: p. 1426-34. DOI: 10.1016/j.apmr.2015.02.027.

16

370

9.

Williams, R. and A. Murray, Prevalence of depression after spinal cord injury: A

371

meta-analysis. Archives of Physical Medicine and Rehabilitation, 2015. 96: p. 133-

372

140. DOI: 10.1016/j.apmr.2014.08.016.

373

10.

Bonanno, G.A., et al., Trajectories of resilience, depression, and anxiety following

374

spinal cord injury. Rehabilitation Psychology, 2012. 57: p. 236-247. DOI:

375

10.1037/a0029256.

376

11.

Bombardier, C.H., et al., Depression trajectories during the first year after spinal cord

377

injury. Archives of Physical Medicine and Rehabilitation, 2016. 97: p. 196-203. DOI:

378

10.1016/j.apmr.2015.10.083.

379

12.

van Leeuwen, C.M., et al., Trajectories and predictors of the course of mental health

380

after spinal cord injury. Archives of Physical Medicine and Rehabilitation, 2012. 93:

381

p. 2170-2176. DOI: dx.doi.org/10.1016/j.apmr.2012.07.006.

382

13.

van Leeuwen, C.M., et al., Trajectories in the course of life satisfaction after spinal

383

cord injury: Identification and predictors. Archives of Physical Medicine and

384

Rehabilitation 2011. 92: p. 207-213. DOI: 10.1016/j.apmr.2010.10.011.

385

14.

Duggan, C., et al., Resilience and happiness after spinal cord injury: A qualitative

386

study. Topics in Spinal Cord Injury Rehabilitation, 2016. 22: p. 99-110. DOI:

387

10.1310/sci2202-99.

388

15.

Kennedy, P., P. Lude, and N. Taylor, Quality of life, social participation, appraisals

389

and coping post spinal cord injury: A review of four community samples. Spinal Cord

390

2006. 44: p. 95-105. DOI: doi:10.1038/sj.sc.3101787.

391

16.

Chun, S. and Y. Lee, The experience of posttraumatic growth for people with spinal

392

cord injury. Qualitative Health Research, 2008. 18: p. 877-890. DOI:

393

10.1177/1049732308318028.

17

394

17.

Kalpakjian, C.Z., et al., Post-traumatic growth following spinal cord injury. The

395

Journal of Spinal Cord Medicine, 2014. 37: p. 218-25. DOI:

396

10.1179/2045772313Y.0000000169.

397

18.

Bonanno, G.A. and E.D. Diminich, Annual Research Review: Positive adjustment to

398

adversity: Trajectories of minimal-impact resilience and emergent resilience. Journal

399

of Child Psychology and Psychiatry, 2013. 54: p. 378-401. DOI: 10.1111/jcpp.12021.

400

19.

Bonanno, G.A., M. Westphal, and A.D. Mancini, Resilience to loss and potential

401

trauma. Annual Review of Clinical Psychology 2011. 7: p. 511-535. DOI:

402

10.1146/annurev-clinpsy-032210-104526.

403

20.

Infurna, F.J. and S.S. Luthar, The multidimensional nature of resilience to spousal

404

loss. Journal of Personality and Social Psychology, 2017. 112: p. 926-947. DOI:

405

10.1037/pspp0000095.

406

21.

Lopez, Editor 2009, Wiley - Blackwell.

407 408

Seaton, C., Psychological adjustment, in The encyclopedia of positive psychology, S.

22.

Stanton, A.L., T.A. Revenson, and H. Tennen, Health psychology: psychological

409

adjustment to chronic disease. Annual Review of Psychology, 2007. 58: p. 565-92.

410

DOI: 10.1146/annurev.psych.58.110405.085615.

411

23.

Luhmann, M., et al., Subjective well-being and adaptation to life events: A meta-

412

analysis on differences between cognitive and affective well-being. Journal of

413

Personality and Social Psychology, 2012. 102: p. 592-615. DOI: 10.1037/a0025948.

414

24.

Infurna, F.J. and S.S. Luthar, Parents' adjustment following the death of their child:

415

Resilience is multidimensional and differs across outcomes examined. Journal of

416

Research in Personality, 2017. 68: p. 38-53. DOI: 10.1016/j.jrp.2017.04.004.

417 418

25.

Spahni, S., et al., Patterns of psychological adaptation to spousal bereavement in old age. Gerontology, 2015. 61: p. 456-468. DOI: https://doi.org/10.1159/000371444

18

419

26.

Perrig-Chiello, P., S. Hutchison, and D. Morselli, Patterns of psychological

420

adaptation to divorce after a long-term marriage. Journal of Social and Personal

421

Relationships, 2014. 32: p. 386-405. DOI: 10.1177/0265407514533769.

422

27.

Chan, R.C.K., P.W.H. Lee, and F. Lieh-Mak, The pattern of coping in persons with

423

spinal cord injuries. Disability and Rehabilitation, 2000. 22: p. 501-507. DOI:

424

doi.org/10.1080/096382800413998

425

28.

Livneh, H., S. Lott, and R. Antonak, Patterns of psychosocial adaptation to chronic

426

illness and disability: A cluster analytic approach. Psychology, Health & Medicine,

427

2004. 9: p. 411-430. DOI: 10.1080/1354850042000267030.

428

29.

van Leeuwen, C.M., et al., Psychological factors and mental health in persons with

429

spinal cord injury: An exploration of change or stability. Journal of Rehabilitation

430

Medicine, 2015. 47: p. 531-537. DOI: 10.2340/16501977-1953.

431

30.

resources. Rehabilitation Psychology 2015. 60: p. 67-80. DOI: 10.1037/rep0000021.

432 433

Peter, C., et al., Depression in spinal cord injury: Assessing the role of psychological

31.

Peter, C., et al., Psychological resources, appraisals, and coping and their

434

relationship to participation in spinal cord injury: A path analysis. Archives of

435

Physical Medicine and Rehabilitation, 2014. 95: p. 1662-1671. DOI:

436

10.1016/j.apmr.2014.04.012.

437

32.

review. Spinal Cord, 2012. 50: p. 188-201. DOI: 10.1038/sc.2011.125.

438 439

Peter, C., et al., Psychological resources in spinal cord injury: A systematic literature

33.

van Koppenhagen, C.F., et al., Recovery of life satisfaction in persons with spinal cord

440

injury during inpatient rehabilitation. American Journal of Physical Medicine &

441

Rehabilitation 2009. 88: p. 887-895. DOI: 10.1097/PHM.0b013e3181b71afe.

19

442

34.

van Leeuwen, C.M., et al., Life satisfaction in people with spinal cord injury during

443

the first five years after discharge from inpatient rehabilitation. Disability and

444

Rehabilitation, 2012. 34: p. 76-83. DOI: 10.3109/09638288.2011.587089.

445

35.

Callaway, L., et al., Secondary health conditions experienced by people with spinal

446

cord injury within community living: Implications for a national disability insurance

447

scheme. Australian Occupational Therapy Journal, 2015. 62: p. 246-254. DOI:

448

10.1111/1440-1630.12206.

449

36.

X., Y., Reference edited out for blind review. . XYZ, 0000. 0. DOI: 99999.

450

37.

Charlifue, S., et al., International Spinal Cord Injury Quality of Life Basic Data Set. Spinal Cord, 2012. 50: p. 672-675. DOI: 10.1038/sc.2012.27.

451 452

38.

basic data set. Spinal Cord, 2016. 54: p. 314-318. DOI: 10.1038/sc.2015.99.

453 454

Post, M.W., et al., Good validity of the international spinal cord injury quality of life

39.

Roth, A.J., et al., Rapid screening for psychologic distress in men with prostate

455

carcinoma. A pilot study. Cancer, 1998. 82: p. 1904-1908. DOI:

456

doi.org/10.1002/(SICI)1097-0142(19980515)82:10<1904::AID-CNCR13>3.0.CO;2-

457

X.

458

40.

Journal of Nursing, 2011. 20: p. 220-227. DOI: doi.org/10.12968/bjon.2011.20.4.220.

459 460

Snowden, A., et al., The clinical utility of the Distress Thermometer: A review. British

41.

Gil, F., et al., Use of distress and depression thermometers to measure psychosocial

461

morbidity among southern European cancer patients. Supportive Care in Cancer,

462

2005. 13: p. 600-606. DOI: 10.1007/s00520-005-0780-0.

463

42.

Zigmond, A.S. and R.P. Snaith, The Hospital Anxiety and Depression Scale. Acta

464

Psychiatrica Scandinavica, 1983. 67: p. 361-370. DOI:

465

http://dx.doi.org/10.1111/j.1600-0447.1983.tb09716.x

20

466

43.

Müller, R., A. Cieza, and S. Geyh, Rasch analysis of the Hospital Anxiety and

467

Depression Scale in spinal cord injury. Rehabilitation Psychology, 2012. 57: p. 214-

468

223. DOI: 10.1037/a0029287.

469

44.

Outcomes, 2003. 1. DOI: 10.1186/1477-7525-1-29.

470 471

45.

Stern, A.F., The Hospital Anxiety and Depression Scale. Occupational Medicine, 2014. 64: p. 393-394. DOI: 10.1093/occmed/kqu024.

472 473

Snaith, R.P., The Hospital Anxiety And Depression Scale. Health and Quality of Life

46.

Itzkovich, M., et al., The Spinal Cord Independence Measure (SCIM) version III:

474

Reliability and validity in a multi-center international study. Disability and

475

Rehabilitation, 2007. 29: p. 1926-1933. DOI: 10.1080/09638280601046302.

476

47.

Catz, A., et al., A multicenter international study on the Spinal Cord Independence

477

Measure, version III: Rasch psychometric validation. Spinal Cord, 2007. 45: p. 275-

478

291. DOI: 10.1038/sj.sc.3101960.

479

48.

Schwartzer, R. and M. Jerusalem, Generalized Self-efficacy Scale, in Measures in

480

health psychology: A user's portfolio. Causal and control beliefs, J. Weinman, S.

481

Wright, and M. Johnston, Editors. 1995, NFER-NELSON: Windsor. p. 35-36.

482

49.

Peter, C., A. Cieza, and S. Geyh, Rasch analysis of the General Self-Efficacy Scale in

483

spinal cord injury. Journal of Health Psychology, 2014. 19: p. 544-555. DOI:

484

10.1177/1359105313475897.

485

50.

Schulenberg, S.E., L.W. Schnetzer, and E.M. Buchanan, The Purpose in life Test-

486

Short Form: Development and psychometric support. Journal of Happiness Studies,

487

2011. 12: p. 861-876. DOI: 10.1007/s10902-010-9231-9.

488

51.

Peter, C., et al., Rasch analysis of measurement instruments capturing psychological

489

personal factors in persons with spinal cord injury. Journal of Rehabilitation

490

Medicine, 2016. 48: p. 175-188. DOI: 10.2340/16501977-2028.

21

491

52.

Scheier, M.F., C.S. Carver, and M.W. Bridges, Distinguishing optimism from

492

neuroticism (and trait anxiety, self-mastery, and self-esteem): A re-evaluation of the

493

Life Orientation Test. Journal of Personality and Social Psychology, 1994. 67: p.

494

1063-1078. DOI: doi:10.1037/0022-3514.67.6.1063.

495

53.

Glaesmer, H., et al., Psychometric properties and population-based norms of the Life

496

Orientation Test Revised (LOT-R). British Journal of Health Psychology, 2012. 17: p.

497

432-445. DOI: 10.1111/j.2044-8287.2011.02046.x.

498

54.

Kluemper, D.H., L.M. Little, and T. DeGroot, State or trait: Effects of state optimism

499

on job-related outcomes. Journal of Organizational Behavior, 2009. 30: p. 209-231.

500

DOI: 10.1002/job.591.

501

55.

von Elm, E., et al., The Strengthening the Reporting of Observational Studies in

502

Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies.

503

PLOS Medicine, 2007. 4: p. e296. DOI: 10.1371/journal.pmed.0040296.

504

56.

Oberski, D.L., Mixture models: Latent profile and latent class analysis, in Modern

505

statistical methods for HCI: A modern look at data analysis for HCI research J.

506

Robertson and M. Kaptein, Editors. 2016, Springer: Switzerland. p. 275-287.

507

57.

Finney, S.J. and C. DiStefano, Non-normal and categorical data in structural

508

equation modeling, in A second course in structural equation modeling, G.R. Hancock

509

and R.O. Mueller, Editors. 2006, Information Age: Greenwich, CT. p. 269 - 314.

510

58.

Peugh, J. and X. Fan, Modeling Unobserved Heterogeneity Using Latent Profile

511

Analysis: A Monte Carlo Simulation. Structural Equation Modeling: A

512

Multidisciplinary Journal, 2013. 20: p. 616-639. DOI:

513

10.1080/10705511.2013.824780.

22

514

59.

Vermunt, J.K., K-means may perform as well as mixture model clustering but may

515

also be much worse: comment on Steinley and Brusco (2011). Psychological Methods,

516

2011. 16: p. 82-88. DOI: 10.1037/a0020144.

517

60.

Mplus: A practical guide2016, New York, NY: Taylor & Francis.

518 519

61.

62.

Vermunt, J.K., Latent Class Modeling with covariates: Two improved three-step approaches. Political Analysis, 2010. 18: p. 450-469 DOI: 10.1093/pan/mpq025.

522 523

Asparouhov, T. and B.O. Muthén, Using Mplus TECH11 and TECH14 to test the number of latent classes. Mplus Webnotes: No. 14, 2012.

520 521

Wickrama, K.A.S., et al., Higher-order growth curves and mixture modeling with

63.

Asparouhov, T. and B.O. Muthén, Auxiliary Variables in Mixture Modeling: Three-

524

Step Approaches Using Mplus. Structural Equation Modeling: A Multidisciplinary

525

Journal, 2014. 21: p. 329 - 341. DOI: 10.1080/10705511.2014.915181.

526

64.

Nylund-Gibson, K. and K.E. Masyn, Covariates and mixture modeling: Results of a

527

simulation study exploring the impact of misspecified effects on class enumeration.

528

Structural Equation Modeling: A Multidisciplinary Journal, 2016. 23: p. 782-797.

529

DOI: 10.1080/10705511.2016.1221313.

530

65.

Enders, C.K., Applied missing data analysis2010, New York: Guilford Press.

531

66.

Enders, C.K. and A.C. Gottschall, Multiple Imputation Strategies for Multiple Group

532

Structural Equation Models. Structural Equation Modeling, 2011. 18: p. 35-54. DOI:

533

10.1080/10705511.2011.532695.

534

67.

Colder, C.R., et al., Identifying trajectories of adolescent smoking: An application of

535

latent growth mixture modeling. Health psychology, 2001. 20: p. 127-135. DOI:

536

10.1037/0278-6133.20.2.127.

23

537

68.

Quale, A.J. and A.K. Schanke, Resilience in the face of coping with a severe physical

538

injury: A study of trajectories of adjustment in a rehabilitation setting. Rehabilitation

539

Psychology, 2010. 55: p. 12-22. DOI: I0.1037/a001841S.

540

69.

Y., Z., Reference edited out for blind review. . Yyyyy, 1111. 0: p. 0. DOI: 111111.

541

70.

Infurna, F.J. and S.S. Luthar, Resilience to Major Life Stressors Is Not as Common as

542

Thought. Perspectives on psychological science, 2016. 11: p. 175-94. DOI:

543

10.1177/1745691615621271.

544

71.

analysis. Spinal Cord, 2016. 54: p. 570-8. DOI: 10.1038/sc.2016.15.

545 546

Le, J. and D. Dorstyn, Anxiety prevalence following spinal cord injury: a meta-

72.

van Diemen, T., et al., Associations Between Self-Efficacy and Secondary Health

547

Conditions in People Living With Spinal Cord Injury: A Systematic Review and Meta-

548

Analysis. Archives of Physical Medicine and Rehabilitation, 2017. 98: p. 2566-2577.

549

DOI: 10.1016/j.apmr.2017.03.024.

550

73.

Peter, C., et al., Modeling life satisfaction in spinal cord injury: The role of

551

psychological resources. Quality of Life Research, 2014. 23: p. 2693-2705. DOI:

552

10.1007/s11136-014-0721-9

553

74.

Vassend, O., et al., Predicting the long-term impact of acquired severe injuries on

554

functional health status: the role of optimism, emotional distress and pain. Spinal

555

Cord, 2011. 49: p. 1193-7. DOI: 10.1038/sc.2011.70.

556

75.

Whalley Hammell, K., Experience of rehabilitation following spinal cord injury: a

557

meta-synthesis of qualitative findings. Spinal Cord, 2007. 45: p. 260-74. DOI:

558

10.1038/sj.sc.3102034.

559

76.

Nunnerley, J.L., E.J. Hay-Smith, and S.G. Dean, Leaving a spinal unit and returning

560

to the wider community: an interpretative phenomenological analysis. Disability and

561

rehabilitation 2013. 35: p. 1164-73. DOI: 10.3109/09638288.2012.723789.

24

562

77.

Li, Y., D. Bressington, and W.T. Chien, Systematic review of psychosocial

563

interventions for people with spinal cord injury during inpatient rehabilitation:

564

Implications for evidence-based practice. Worldviews on Evidence-Based Nursing,

565

2017. 14: p. 499-506. DOI: doi: 10.1111/wvn.12238.

566

78.

Li, Y., D. Bressington, and W.T. Chien, Pilot evaluation of a coping-oriented

567

supportive program for people with spinal cord injury during inpatient rehabilitation.

568

Disability and rehabilitation, 2019. 41: p. 182-190. DOI:

569

10.1080/09638288.2017.1386238.

570

79.

Ljungberg, I., et al., Using peer mentoring for people with spinal cord injury to

571

enhance self-efficacy beliefs and prevent medical complications. Journal of Clinical

572

Nursing, 2011. 20: p. 351-358. DOI: 10.1111/j.1365-2702.2010.03432.x.

573

80.

Martz, E., et al., Predictors of Psychosocial Adaptation Among People With Spinal

574

Cord Injury or Disorder. Archives of Physical Medicine and Rehabilitation, 2005. 86:

575

p. 1182-1192. DOI: https://doi.org/10.1016/j.apmr.2004.11.036.

576

81.

Craig, A., et al., Depressive mood in adults with spinal cord injury as they transition

577

from an inpatient to a community setting: Secondary analyses from a clinical trial.

578

Spinal Cord, 2017. 55: p. 926-934. DOI: 10.1038/sc.2017.41.

579

82.

Krause, J.S., B. Kemp, and J. Coker, Depression after spinal cord injury: relation to

580

gender, ethnicity, aging, and socioeconomic indicators. Archives of Physical

581

Medicine and Rehabilitation, 2000. 81: p. 1099-1109. DOI: 10.1053/apmr.2000.7167.

582

83.

Kennedy, P., M. Evans, and N. Sandhu, Psychological adjustment to spinal cord

583

injury: The contribution of coping, hope and cognitive appraisals. Psychology, Health

584

& Medicine, 2009. 14: p. 17-33. DOI: 10.1080/13548500802001801.

25

585

84.

Lim, S.W., et al., Anxiety and depression in patients with traumatic spinal cord injury:

586

A nationwide population-based cohort study. PLoS One, 2017. 12. DOI:

587

doi.org/10.1371/journal.pone.0169623

588

85.

Chevalier, Z., P. Kennedy, and O. Sherlock, Spinal cord injury, coping and

589

psychological adjustment: A literature review. Spinal Cord, 2009. 47: p. 778-782.

590

DOI: 10.1038/sc.2009.60.

591

86.

Putzke, J.D., et al., Predictors of life satisfaction: A spinal cord injury cohort study.

592

Archives of Physical Medicine and Rehabilitation, 2002. 83: p. 555-561. DOI:

593

10.1053/apmr.2002.31173.

594

87.

sample. Spinal Cord, 2008. 46: p. 380-385. DOI: 10.1038/sj.sc.3102088.

595 596

Tonack, M., et al., Predicting life satisfaction after spinal cord injury in a Canadian

88.

Kalpakjian, C.Z., et al., Marital status, marital transitions, well-being, and spinal cord

597

injury: an examination of the effects of sex and time. Archives of Physical Medicine

598

and Rehabilitation, 2011. 92: p. 433-40. DOI: 10.1016/j.apmr.2010.07.239.

599

89.

Müller, R., et al., The role of social support and social skills in people with spinal

600

cord injury — a systematic review of the literature. Spinal Cord, 2012. 50: p. 94-106.

601

DOI: doi:10.1038/sc.2011.116.

602

90.

Tramonti, F., A. Gerini, and G. Stampacchia, Relationship quality and perceived

603

social support in persons with spinal cord injury. Spinal Cord, 2014. 53: p. 120. DOI:

604

10.1038/sc.2014.229.

26

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