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Predicting the timing of rst sexual intercourse for at-risk adolescent males Child Development, 67, 344 359 Coelho, R J (1984) Self-ef cacy and cessation of smoking Psychological Reports, 54, 309 310 Cohen, J (1990) Statistical power analysis for the behavioral sciences (2nd ed) Hillsdale, NJ: Erlbaum Cooney, N L, Kadden, R M, Litt, M D, & Getter, H (1991) Matching alcoholics to coping skills or interactional therapies: Two-year follow-up results Journal of Consulting and Clinical Psychology, 59, 598 601 Condiotte, M M, & Lichtenstein, E (1981) Self-ef cacy and relapse in smoking cessation programs Journal of Consulting and Clinical Psychology, 49, 648 658 Cox, D R (1972) Regression models and life tables Journal of the Royal Statistical Society, Series B, 34, 187 202 Cox, D R, & Oakes, D (1984) Analysis of survival data London: Chapman and Hall Diekmann, A, Jungbauer-Gans, M.

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Another promising treatment, mindfulness meditation, trains attention deployment and promotes nonjudgmental acceptance of all life conditions, whether positive or negative (Kabat-Zinn, 1990) Preliminary studies on the effects of mindfulness meditation in FM populations (Kaplan, Goldenberg, & GalvinNadeau, 1993; Singh, Berman, Hadhazy, & Creamer, 1998) have shown it to be effective in decreasing pain and fatigue as well as improving quality of sleep The use of mindfulness meditation with people suffering from arthritis and musculoskeletal conditions is likely to increase as more professionals become aware of its ef cacy in enhancing holistic well-being Due to the fact that the effects of arthritis and musculoskeletal conditions are not limited to the individual af icted with the disease, the social aspect of each condition may be a particularly important component to target, with signi cant implications for quality of life.

, Krassnig, H, & Lorenz, S (1996) Social status and aggression: A eld study analyzed by survival analysis Journal of Social Psychology, 136(6), 761 768 Diekmann, A, & Mitter, P (1983) The sickle-hypothesis: A time dependent Poisson model with applications to deviant behavior Journal of Mathematical Sociology, 9, 85 101 Donner, A (1984) Approaches to sample size estimation in the design of clinical trials: A review Statistics in Medicine, 3, 199 214 Dupont, W D, & Plummer, W D, Jr (1990) Power and sample size calculations: A review and computer program Controlled Clinical Trials, 11, 116 128 Farrington, D P, Gallagher, B, Morley, L, St Ledger, R J, & West, D J (1990) Minimizing attrition in longitudinal research: Methods of tracing and securing cooperation in a 24-year follow-up study In D Magnusson & L R Bergman (Eds.

We have reviewed evidence that interpersonal stress is particularly damaging to the health of individuals with RA Therefore, interventions that seek to improve the quality of relationships between people with RA and their family members and/or spouses by eliciting family participation may yield more powerful effects Relatedly, targeting improvements in the social environment of individuals with OA may assist individuals in adopting lifestyle changes (eg, exercise, weight management) important in the prevention and treatment of OA In addition, we have illustrated how individuals with FM often feel misunderstood by their health care providers and react to stress by withdrawing from social relationships Thus, interventions that encourage spouses and family members of individuals with FM to continue to engage them in their social activities may improve the outcome of these patients.

Furthermore, doctorshopping among patients with FM may be reduced by teaching health care professionals to be aware of stigmatization factors and highlighting the importance of effective communication with their patients This discussion emphasized that RA, OA, and FM are distinct conditions, despite the fact that they share many common symptoms and forms of treatment More comprehensive models and ef cacious treatments for these chronic conditions will result from careful consideration of their unique biological, psychological, and social factors..

), Data quality in longitudinal research (pp 122 147) New York: Cambridge University Press..

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