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

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diagnostic criteria for these sleep disorders (such as periodic limb movement disorder,<br />

bruxism, sleep apnea or restless legs syndrome).<br />

The f<strong>in</strong>d<strong>in</strong>gs of this thesis should be <strong>in</strong>terpreted with some caution as the analyses did<br />

not account for possible measurement <strong>and</strong> sampl<strong>in</strong>g error. As little research has been<br />

completed <strong>in</strong> the field of FMS us<strong>in</strong>g the measures <strong>in</strong>corporated with<strong>in</strong> this thesis, little<br />

is known about the psychometric properties of these measurement tools with the FMS<br />

population. Consideration of the most evidence based measures for use with<strong>in</strong> this<br />

thesis (as described <strong>in</strong> Chapter Four) <strong>and</strong> procedures for reduc<strong>in</strong>g systematic error were<br />

applied (such as double enter<strong>in</strong>g data, the measures be<strong>in</strong>g adm<strong>in</strong>istered by one tra<strong>in</strong>ed<br />

researcher). However, despite these efforts there rema<strong>in</strong>s a risk of measurement error;<br />

(that the assessment tools do not measure what they state they are measur<strong>in</strong>g or due to<br />

human consistency) which may bias the results. There may be a particular risk of<br />

possible misclassification of participants <strong>in</strong>to outcome groups for the logistic regression,<br />

(as conducted <strong>in</strong> Chapter 5) due to measurement error <strong>and</strong> therefore caution needs to be<br />

applied <strong>in</strong> the <strong>in</strong>terpretation of these f<strong>in</strong>d<strong>in</strong>gs.<br />

There is a need for further studies to explore the psychometric properties of these<br />

assessment tools <strong>in</strong> more detail to ensure the accuracy of research f<strong>in</strong>d<strong>in</strong>gs. It has been<br />

found that measurement error can reduce the power of a study by over 25% (Cheng,<br />

Branscum, & Stamey, 2010). Therefore, <strong>in</strong> future studies it is recommended that<br />

adjustments for possible sampl<strong>in</strong>g error be made <strong>in</strong> sample size calculations for studies<br />

utilis<strong>in</strong>g these tools, particularly when explor<strong>in</strong>g constructs that are known to frequently<br />

occur with<strong>in</strong> a given population. As the high frequency of sleep difficulties was<br />

unknown at the time of study completion, this was not accounted for with<strong>in</strong> this thesis;<br />

but on reflection account<strong>in</strong>g for this risk of error would have <strong>in</strong>creased confidence <strong>in</strong> the<br />

research f<strong>in</strong>d<strong>in</strong>gs.<br />

Participants were recruited through community based support groups <strong>and</strong> although this<br />

approach was chosen to ensure the capture of people with vary<strong>in</strong>g degrees of severity of<br />

FMS (rather than only those requir<strong>in</strong>g support from hospital services or specialist<br />

cl<strong>in</strong>ics), this may limit the generalisability of the results to people who do not attend<br />

support groups. People attend<strong>in</strong>g support groups may differ from people with FMS who<br />

do not, such as an <strong>in</strong>creased need for social support or seek<strong>in</strong>g <strong>in</strong>formation (Davison,<br />

Pennebaker, & Dickerson, 2000). For example, it was found <strong>in</strong> a study <strong>in</strong> HIV patients<br />

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