Dental patients generally recall more pain than they originally report, with ratings of pain related to state anxiety and dental fear, but the role of depression in recall of dental pain remains uncertain. This study examined the relative contributions of different variables in explaining dental pain recalled after tooth extraction. Patients presenting for tooth extraction, prior to extraction, rated their current dental pain and state anxiety, prediction of pain and state anxiety during extraction, depression, and dental fear. Immediately postprocedure and then 1 mo later, patients rated their pain and state anxiety during extraction. Hierarchical linear regression equations were used to explain variance in recalled pain and state anxiety. In addition, patients were divided into high and low dental fear and depression groups and compared on ratings of pain and state anxiety across time. In a final sample of 157 patients, the most important predictors of recalled pain were pain reported during extraction (β = .53) and recalled state anxiety (β = .52). Dental fear and depression had a significant interaction: only when patients reported less depression did those patients who reported more dental fear also report more pain than patients who reported less dental fear (P < 0.05, ω(2) = .07). Patients who reported more depression entered the dental operatory reporting more pain, but all patients generally reported less pain during extraction than they predicted or recalled. Memory of state anxiety and pain reported during tooth extraction, not depression or state anxiety at the time of extraction, were critical factors in memory of the pain associated with the procedure. At higher levels of depression, patients higher and lower in dental fear did not differ in report of pain. Future studies are needed to further clarify interactions of depression and dental fear over time.
Although many have sought to understand cervical cancer screening (CCS) behavior, little research has examined worry about cervical cancer and its relationship to CCS, particularly in the underserved, predominantly rural Appalachian region. Our mixed method investigation aimed to obtain a more complete and theoretically-informed understanding of the role of cancer worry in CCS among Appalachian women, using the Self-Regulation Model (SRM). Our quantitative analysis indicated that the perception of being at higher risk of cervical cancer and having greater distress about cancer were both associated with greater worry about cancer. In our qualitative analysis, we found that, consistent with the SRM, negative affect had a largely concrete-experiential component, with many women having first-hand experience of the physical consequences of cervical cancer. Based on the results of this manuscript, we describe a number of approaches to lessen the fear associated with CCS. Intervention in this elevated risk community is merited and may focus on decreasing feelings of worry about cervical cancer and increasing communication of objective risk and need for screening. From a policy perspective, increasing the quantity and quality of care may also improve CCS rates and decrease the burden of cancer in Appalachia.
The prevalence of type 2 diabetes is increasing with middle-aged and older adults being those at highest risk for developing this disease. Additionally, the demands of type 2 diabetes selfmanagement can become difficult with age, which can result in poorer glycemic control. The current study examined the relations of health literacy, diabetes-related distress, and diabetes self-efficacy on diabetes self-management among 65 adults aged 40-66 with type 2 diabetes. Age was found to be positively associated with health literacy, but negatively associated with diabetes self-care activities. Additionally, only diabetes self-efficacy was found to be a unique contributor to diabetes self-care activities when controlling for age and gender. Lastly, body mass index was found to be negatively associated with diabetes self-efficacy and diabetes self-care activities. Future studies should consider using a longitudinal design to better inform interventions for those at risk for inadequate glycemic control (i.e., overweight/obese individuals, older adults, those with low self-efficacy).
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