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Temporomandibular Disorders
Author Bios
Introduction
Epidemiology
Currently selected section: Population Perspective
Developmental Perspective
Ecological Perspective
Epidemiologic Measures
Defining a Case
Pain Location
Pain Frequency, Duration and Severity
Recency of Pain
Ambient Pain or Pain on Function?
Clinical Signs and Symptoms
Pain Impact/Disability
Co-morbidity
Choosing an Appropriate Design
Cross-sectional Surveys
Currently selected section: Longitudinal Studies
Case-control Studies
Prospective Designs
Preventive and Clinical Trials
Clinical Epidemiology
Practical Considerations
Sample Size
Standardizing Data Collection
Response Burden
Summary

 

Chapter 26: Studying the Epidemiology of Temporomanibular Disorders: Longitudinal Studies
          

Cook and Ware (1983) define a longitudinal study as research in which the same individuals are observed on more than one occasion. Longitudinal studies can address the course of pain in individuals already affected, as well as the development of pain in unaffected individuals. Longitudinal studies specifically aimed at examining pain onset are classified as prospective studies (see Section 19). Longitudinal studies are useful for examining individual change over time.

In the case of the epidemiologic study of TMD and other pain problems, longitudinal designs are useful to understand the fluctuating course of pain, the extent to which pain syndromes remit, recur, or progress, and to identify prognostic factors predicting future course. Longitudinal designs are also useful for studying the development of pain syndromes, as the relationships among pain intensity, activity limitations, physical findings, and psychological variables can be investigated over time.

Example 1
Rammelsberg et al. (2003) investigated the course of myofascial TMD pain over a period of 5 years in 235 clinic and community cases. Subjects were examined at baseline, and at 1-, 3- and 5-year follow-ups. Subjects meeting RDC/TMD criteria for myofascial pain at all follow-up examinations were defined as persistent cases. They constituted 31% of the sample. Pain remitted for 33% of subjects and 36% experienced a recurrent course. Bivariate statistics and multivariate logistic regression analyses indicated that baseline pain frequency, number of painful palpation sites and total number of body sites with pain were significant predictors of becoming a persistent, as opposed to a remitted or recurrent case. No predictors could be identified that distinguished remitted versus recurrent cases.

Example 2
Following subjects over time can yield data that further explicates associations found in cross-sectional studies. For example, depression is often found to be associated with pain in cross-sectional studies. Von Korff and Simon (1996) used longitudinal data to shed light on this relationship. They found that among primary care pain patients, depressive symptoms were initially elevated around the time of the visit, but then improved to normal levels among patients with a favorable pain outcome. For patients who continued to have significant activity limitations, depressive symptoms remained elevated one year after their visit, but depressive symptom levels did not increase with time, even if pain and pain-related activity limitation continued at moderate to severe levels. These kinds of longitudinal analyses can begin to shed light on the mechanisms that may produce associations between pain status and factors that may be either causes or consequences of pain-related activity limitation.

 

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