Sick and Tired: Understanding and Managing Sleep Difficulties in ...

More documents

Recommendations

Info

Coping The Coping Orientation of Problem Experience Inventory (The COPE Scale, Carver et al., 1989) is a theoretically guided multi-dimensional coping measure that has been widely used in the health field. The COPE has 15 component scales, each containing four items. Participants were asked to indicate how often they use different types of coping on a scale, ranging from 1 (I usually don‟t do this at all) to 4 (I usually do this a lot). The items for each scale are summed to give the score for each of the 15 scales. The 15 subscales include: Positive reinterpretation and growth, Mental disengagement, Focus on and venting of emotions, Use of instrumental social support, Active coping, Denial, Religious coping, Humour, Behavioural disengagement, Restraint, Use of emotional social support, Substance use, Acceptance, Suppression of competing activities and Planning. Higher scores are indicative of higher use of the coping strategy. The COPE scale has been widely used to explore coping behaviour, and the planning, restraint coping, seeking instrumental support, seeking emotional support, turning to religion, focus on venting emotion and denial sub-scales have revealed Cronbach‟s alphas between 0.71-0.92, although the mental disengagement, active coping, positive reinterpretation and behavioural disengagement scales revealed internal consistency co-efficients (Cronbach‟s alphas) below 0.7 (0.45, 0.62, 0.68 and 0.63 respectively). Test-retest reliability over an 8 week period was found to be between 0.46-0.86 which was considered to be poor, however this may reflect the transient nature of the use of coping strategies over time (Carver et al., 1989). Quality of Life Health related quality of life was assessed using the RAND 36-item Health Survey (SF - 36) (Hays, Sherbourne, & Mazel, 1993a; Ware & Sherbourne, 1992). For this questionnaire participants were asked to describe how they felt and how able they were to carry out their usual activities over the past month. Scores for the individual items were recoded and summed to create eight component scales. Scores ranged from 0-100, a higher score indicating higher health related quality of life. The RAND SF-36 has been extensively used in the general population and patients with chronic illness to describe health related quality of life and as an outcome measures in clinical trials (Hays & Morales, 2001). The wide utility of the measure offers the benefit that scores can be compared between different populations. Indeed, several studies have revealed that people with FMS have poorer health related quality of life outcomes across the eight outcome domains than healthy controls (Martinez et al., 2001), those with arthritis and 57
heart disease (Epstein et al., 1999; Salaffi, Sarzi-Puttini, Girolimetti et al., 2009). Evidence has supported the unidimensionality of the eight subscales, with each scale revealing a Cronbach‟s alpha score above 0.7 (Kosinski, Keller, Hatoum, Kong, & Ware, 1999; Moorer, Suurmeije, Foets, & Molenaar, 2001) and inter item correlations above 0.4 (Leung et al., 2010). Some ceiling and floor effects have been found in the utilisation of the SF36 in clinical populations (McHorney, Ware, Lu, & Sherbourne, 1994) and the measurement characteristics of the role limitations due to emotional and physical functioning scales have come under question in patients with arthritis (Ruta, Hurst, Kind, Hunter, & Stubbings, 1998). Despite these limitations the SF-36 has been recommended for use as an assessment measure in studies with people with FMS (Salaffi, Sarzi-Puttini, Ciapetti et al., 2009). In addition, the SF-36 was also chosen for use in this study as it includes scales focusing specifically on levels of pain and fatigue (the two main symptoms in FMS), in addition to factors exploring general health quality of life. Age, length of illness, negative affect, coping and sleep quality sub-scales were considered to be independent variables and constructs (subscales) of health related quality of life, the dependent variables. Data Analysis Data was entered into SPSS Version 16.0 (SPSS for Windows, 2006) and the questionnaire measures were scored according to their instructions. The median and inter-quartile range were calculated to describe the distribution of the ordinal data for the questionnaire variables (Howitt & Cramer, 2005). Underlying the analysis of the data, presented in this thesis, is the principle that data from the questionnaire scales used in this thesis was ordinal, there being no evidence that there are equal intervals between the points on the given scales. Rasch analysis can be a useful tool to explore the intervals between points on a scale to determine if they are equal and providing evidence for treating the data as ratio level data. However, due to its complexity, Rasch analysis has not always been conducted on every standardized measure, and within every population under investigation (particularly this has not been applied to the measures used within this thesis in the FMS population). 58
Page 1 and 2:
Sick and Tired: Understanding and M
Page 3 and 4:
Chapter Four. The Nature and Effect
Page 5 and 6:
References ........................
Page 7 and 8:
List of Tables Table 1. Participant
Page 9 and 10:
Co-authored Works Although the stud
Page 11 and 12:
Acknowledgments This thesis would n
Page 13 and 14:
Intellectual Property Rights There
Page 15 and 16:
Confidential Material No participan
Page 17 and 18:
The role of sleep in FMS appears to
Page 19 and 20:
little information was available as
Page 21 and 22:
Psychophysiologic insomnia which is
Page 23 and 24: and are less able to inhibit the pa
Page 25 and 26: widely applied in clinical practice
Page 27 and 28: of fewer tender points; usually bet
Page 29 and 30: Current Management Strategies The t
Page 31 and 32: also likely to depend on a number o
Page 33 and 34: deep sleep (stages three and four)
Page 35 and 36: Although sleep moves through the sl
Page 37 and 38: Figure 3. The Integrative Model of
Page 39 and 40: However, conducting a blood test is
Page 41 and 42: As sleep is a complex process invol
Page 43 and 44: Sleep Diaries Sleep diaries are a k
Page 45 and 46: pain). Lentz et al (1999) revealed
Page 47 and 48: These results have also been suppor
Page 49 and 50: (McCracken & Iverson, 2002) which s
Page 51 and 52: Figure 4. Conceptual model of the d
Page 53 and 54: Clinical Implications Despite the p
Page 55 and 56: Chapter Three. Sleep in FMS As high
Page 57 and 58: & Penzien, 2003), although alpha wa
Page 59 and 60: pauses in breathing indicative of s
Page 61 and 62: Relationships between Sleep and Pai
Page 63 and 64: Managing Sleep Disturbance in FMS D
Page 65 and 66: may be possible to help patients im
Page 67 and 68: person to initiate an action (such
Page 69 and 70: and Nicassio et al (1995) only expl
Page 71 and 72: 1) Poor sleep quality, defined by t
Page 73: elow 0.7 are acceptable. Therefore
Page 77 and 78: In order to explore the links betwe
Page 79 and 80: questionnaire 78 (77.2%) of the par
Page 81 and 82: efficiency, suggesting that partici
Page 83 and 84: Older age and longer length of illn
Page 85 and 86: Table 2. Correlations between demog
Page 87 and 88: Logistic Regression As 97% of the s
Page 89 and 90: in bed, participants may have devel
Page 91 and 92: Relationship between Negative Affec
Page 93 and 94: participants, who may be less likel
Page 95 and 96: emotional problems, increased pain
Page 97 and 98: eactions are most likely to be detr
Page 99 and 100: It has been suggested that the auto
Page 101 and 102: For both groups, participants were
Page 103 and 104: with and without chronic medical co
Page 105 and 106: As previously described on page 61,
Page 107 and 108: Figure 7. Scree plot for the explor
Page 109 and 110: Figure 8. Scree plot for the explor
Page 111 and 112: Table 6. Participant characteristic
Page 113 and 114: Table 7. Measures of central tenden
Page 115 and 116: CON = DBAS-10 Dysfunctional beliefs
Page 117 and 118: The Exp (B) values revealed that hi
Page 119 and 120: has explored the use of napping on
Page 121 and 122: It became clear, through the analys
Page 123 and 124: interventions. With this in mind, t
Page 125 and 126:
The philosophy of phenomenology was
Page 127 and 128:
Methods Participants were given a w
Page 129 and 130:
Table 11. Interview schedule for th
Page 131 and 132:
Rigour The interview transcripts we
Page 133 and 134:
“The main symptom is this overwhe
Page 135 and 136:
Theme Two. Inter-relationship betwe
Page 137 and 138:
where I live, so I don‟t know, I
Page 139 and 140:
Participants also described how the
Page 141 and 142:
“XXXX (name of person) planned a
Page 143 and 144:
A strong theme that emerged in this
Page 145 and 146:
conducted at several time points, w
Page 147 and 148:
Chapter Seven. Investigating the Ef
Page 149 and 150:
activities because they no longer f
Page 151 and 152:
Therefore as this was a feasibility
Page 153 and 154:
Self-reported sleep quality was ass
Page 155 and 156:
The progressive muscle relaxation (
Page 157 and 158:
Exploring the baseline data, there
Page 159 and 160:
Consequently, univariate analysis w
Page 161 and 162:
There was no significant correlatio
Page 163 and 164:
people with FMS (Perlis, Giles, Men
Page 165 and 166:
The aim of this study was to explor
Page 167 and 168:
observed in perceived overall sleep
Page 169 and 170:
elaborated on in Chapter Six, which
Page 171 and 172:
Four) revealed that global sleep qu
Page 173 and 174:
Modifications to the Call-Schmidt a
Page 175 and 176:
MBSR programme in people with FMS (
Page 177 and 178:
diagnostic criteria for these sleep
Page 179 and 180:
comprehensive measures to look at t
Page 181 and 182:
References Abad, V. C., Sarinas, P.
Page 183 and 184:
Brand, S., Gerber, M., Beck, J., Ha
Page 185 and 186:
Crofford, L. J., & Demitrack, M. A.
Page 187 and 188:
Goldenberg, D. L., Kaplan, K. H., N
Page 189 and 190:
Johns, M. W. (2002). Sleep propensi
Page 191 and 192:
Leung, Y. Y., Ho, K. W., Zhu, T. Y.
Page 193 and 194:
Mease, P. J. (2005). Fibromyalgia s
Page 195 and 196:
symptoms in healthy subjects; Corre
Page 197 and 198:
approach with illustration to the h
Page 199 and 200:
Thomas, E. N., & Blotman, F. (2010)
Page 201 and 202:
Yunus, M. B., Masi, A. T., & Aldag,
Page 203 and 204:
Appendices Appendix A: Search Strat
Page 205 and 206:
Sleep and Fibromyalgia Syndrome Con
Page 207 and 208:
190
Page 209 and 210:
The following questions relate to y
Page 211 and 212:
There are lots of ways to try to de
Page 213 and 214:
42. I try hard to prevent other thi
Page 215 and 216:
During the past month have you had
Page 217 and 218:
Appendix E: Published paper of Stud
Page 219 and 220:
202
Page 221 and 222:
204
Page 223 and 224:
206
Page 225 and 226:
Sleep and Fibromyalgia Syndrome Con
Page 227 and 228:
Appendix H: Participant Questionnai
Page 229 and 230:
Below are 10 statements reflecting
Page 231 and 232:
The questions in this scale ask you
Page 233 and 234:
Appendix I. Published Paper for Stu
Page 235 and 236:
218
Page 237 and 238:
220
Page 239 and 240:
222
Page 241 and 242:
Appendix K. Information Sheet and C
Page 243 and 244:
Sleep in Fibromyalgia Syndrome Cons
Page 245 and 246:
Appendix L: Letter of Ethical Appro
Page 247 and 248:
Appendix M. Letter to GPs for Study
Page 249 and 250:
What are the side effects of any tr
Page 251 and 252:
Appendix O: Poster Advertising Stud
Page 253 and 254:
Appendix Q: Participant Questionnai
Page 255 and 256:
HAD Scale Read each item and place
Page 257 and 258:
During the past month have you had
Page 259 and 260:
Appendix R. Letter from Dr Mark Cro
Page 261 and 262:
PUBLICATIONS Peer Reviewed Journal
Page 263:
and panic-like episodes, Faculty of
show all

Sick and Tired: Understanding and Managing Sleep Difficulties in ...

Create successful ePaper yourself

Delete template?

Save as template?