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Worry and Depression in the Old and Young: Differences and Mediating Factors

Published online by Cambridge University Press:  20 November 2014

Lucy Armstrong ,
Viviana M. Wuthrich ,
Ashleigh Knight  and
Richard Joiner
Lucy Armstrong
Affiliation:
University of Bath, Bath, United Kingdom
Viviana M. Wuthrich*
Affiliation:
Macquarie University, Sydney, New South Wales, Australia
Ashleigh Knight
Affiliation:
Macquarie University, Sydney, New South Wales, Australia
Richard Joiner
Affiliation:
University of Bath, Bath, United Kingdom
*
Address for correspondence: Viviana M. Wuthrich, Department of Psychology, Macquarie University, Sydney, NSW, Australia, 2109. Email: [email protected]
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Abstract

Objective: This study examined whether differences in habitual negative self-thinking and coping strategies might contribute to the age differences in worry and depression. Method: 60 undergraduate students (age range: 18–24 years, M = 19.10, SD = 1.3) and 45 community-dwelling older adults (age range: 60–89 years, M = 73.5, SD = 7.5) participated. Participants completed self-report measures of worry, depression, negative self-thinking, and coping styles. Results: We replicated previous findings that older adults were less worried and less depressed than younger adults. Older adults also reported engaging in less habitual negative thinking and using more problem solving as a coping strategy than younger adults. Furthermore, negative self-thinking and problem-solving skills were found to partially mediate age differences in worry and fully mediate depression scores. Conclusions: These results suggest that habitual negative thinking and problem-solving skills play a role in explaining the lower rates of worry and depression in older populations.

Keywords

copinggeriatricageinghabitual negative thinkingproblem solvingdepressionworry
Type
Standard Papers
Information
Behaviour Change , Volume 31 , Issue 4 , December 2014 , pp. 279 - 289
Copyright
Copyright © The Author(s) 2014 

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References

Allemand, M., Zimprich, D., & Hendriks, A.A.J. (2008). Age differences in five personality domains across the life span. Developmental Psychology, 44, 758–770. doi:10.1037/0012-1649.44.3. 758Google Scholar
Amirkhan, J.H. (1990). A factor analytically derived measure of coping: The Coping Strategy Indicator. Journal of Personality and Social Psychology, 59 (5), 1066–1074. doi:http://dx.doi.org/10.1037/0022-3514.59.5.1066CrossRefGoogle Scholar
Beck, A.T. (1967). Depression: Causes and treatment. Philadelphia: University of Pennsylvania Press.Google Scholar
Behar, E., Alcaine, O., Zuellig, A.R., & Borkovec, T.D. (2003). Screening for generalized anxiety disorder using the Penn State Worry Questionnaire: A receiver operating characteristics analysis. Journal of Behavior Therapy and Experimental Psychiatry, 34, 25–43.CrossRefGoogle Scholar
Beekman, A.T.F., Bremmer, M.A., Deeg, D.J.H., Van Balkom, A.J.L.M., Smit, J.H., De Beurs, E., Van Dyck, R., & Van Tilburg, W. (1998). Anxiety disorders in later life: A report from the Longitudinal Aging Study Amsterdam. International Journal of Geriatric Psychiatry, 13, 717–726.Google Scholar
Bentler, P.M. (1990). Comparative fit indicies in structural models. Psychological Bulletin, 107, 238–246.Google Scholar
Billings, A.G., & Moos, R.H. (1984). Coping, stress, and social resources among adult with unipolar depression. Journal of Personality and Social Psychology, 46 (4), 877–891. doi:http://dx.doi.org/10.1037/0022-3514.46.4.877Google Scholar
Dozeman, E., van Schaik, D.J.F., van Marwijk, H.W.J., Stek, M.L., van der Horst, H.E., & Beekman, A.T.F. (2011). The Center for Epidemiological Studies Depression Scale (CES-D) is an adequate screening instrument for depressive and anxiety disorders in a very old population living in residential homes. International Journal of Geriatric Psychiatry, 26, 239–246.CrossRefGoogle Scholar
Evans, J., Heron, J., Lewis, G., Araya, R., & Wolke, D. (2005). Negative self-schemas and the onset of depression in women: Longitudinal study. British Journal of Psychiatry, 186, 302–307. doi:http://dx.doi.org/10.1192/bjp.186.4.302Google Scholar
Friedman, H.S., & Silver, R.C. (2007). Foundations of health psychology. New York: Oxford University Press.Google Scholar
Gooding, P.A., Hurst, A., Johnson, J., & Tarrier, N. (2012). Psychological resilience in young and older adults. International Journal of Geriatric Psychiatry, 27 (3), 262–270. doi:http://dx.doi.org/10.1002/gps.2712CrossRefGoogle ScholarPubMed
Hunt, S., Wisocki, P., & Yanko, J. (2003). Worry and use of coping strategies among older and younger adults. Journal of Anxiety Disorders, 17, 547–560. doi:http://dx.doi.org/10.1016/S0887-6185(02)00229-3Google Scholar
IBM (2010). IBM SPSS AMOS Statistics for Windows, Version 19.0. Armonk, NY: Author.Google Scholar
Jorm, A.F., Windsor, T.D., Dear, K.B., Anstey, K.J., Christensen, J., & Rodgers, B. (2005). Age group differences in psychological distress: The role of psychosocial risk factors that vary with age. Psychological Medicine, 35 (9), 1253–1263. doi:http://dx.doi.org/10.1017/S0033291705004976Google Scholar
Kessler, R.C., Chiu, W.T., Demier, O., & Walters, E.E. (2005). Prevalence, severity, and comorbidity of 12 month DSM-IV disorders in the National Comorbidity Survey Replication (NCS-R). Archives of General Psychiatry, 62 (6), 617–627. doi:http://dx.doi.org/10.1001/archpsyc.62.6.617Google Scholar
Kopala-Sibley, D.C., Mongrain, M., & Zuroff, D.C. (2013). A lifespan perspective on dependency and self-criticism: Age-related differences from 18 to 59. Journal of Adult Development, 13, 126–141. doi:10.1007/s10804-013-9163-9.Google Scholar
Lazarus, R.S. (1993). Coping theory and research: Past, present, and future. Psychosomatic Medicine, 55, 234–247.CrossRefGoogle ScholarPubMed
MacCallum, R.C., Browne, M.W., & Sugawara, H.M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1 (2), 130–149.Google Scholar
Meeks, S., Woodruff-Borden, J., & Depp, C. (2003). Structural differentiation of self-reported depression and anxiety in late life. Journal of Anxiety Disorders, 17 (6), 627–646. doi:http://dx.doi.org/10.1016/S0887-6185(02)00258-XCrossRefGoogle ScholarPubMed
Meyer, T.J., Miller, M.L., Metzger, R.L., & Borkovec, T.D. (1990). Development and validiation of the Penn State Worry Questionnaire. Behaviour Research and Therapy, 28, 487–495. doi:http://dx.doi.org/10.1016/0005-7967(90)90135-6Google Scholar
Moos, R.H., Brennan, P.L., Schutte, K.K., & Moos, B.S. (2006). Older adults’ coping with negative life events: Common processes of managing health, interpersonal, and financial/work stressors. International Journal of Aging & Human Development, 62 (1), 39–59. doi:http://dx.doi.org/10.2190/ENLH-WAA2-AX8J-WRT1Google Scholar
Nolen-Hoeksema, S., Wisco, B.E., & Lyubomirsky, S. (2008). Rethinking rumination. Perspectives on Psychological Science, 3 (5), 400–424. doi:10.1111/j.1745-6924.2008.00088.xCrossRefGoogle ScholarPubMed
Radloff, L. (1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement 1, 385–401. doi:http://dx.doi.org/10.1177/014662167700100306Google Scholar
Radloff, L., & Locke, B.Z. (2000). Center for Epidemiological Studies Depression Scale. In Rush, A.J., First, M.B., & Black, D. (Eds.), Handbook of psychiatric measure (pp. 523–526). Washington, DC: American Psychiatric Association.Google Scholar
Stanley, M.A., Diefenbach, G.J., Hopko, D.R., Novy, D.M., Kunik, M.E., Wilson, N., & Wagener, P. (2003). The nature of generalized anxiety in older primary care patients: Preliminary findings. Journal of Psychopathology and Behavioral Assessment, 25 (4), 273–280.Google Scholar
Stanley, M.A., Novy, D.M., Bourland, S.L., Beck, J.G., & Averill, P.M. (2001). Assessing older adults with generalised anxiety: A replication and extension. Behaviour Research and Therapy, 39, 221–235.Google Scholar
Steiger, J.H., & Lind, J.C. (1980, May). Statistically-based tests for the number of common factors. Paper presented at the Annual Meeting of the Psychometric Society, Iowa City, IA.Google Scholar
Stewart-Brown, S., Evans, J., Patterson, J., Petersen, S., Doll, H., Balding, J., & Regis, D. (2008). The health of students in institutions of higher education: An important neglected public health problem? Journal of Public Health Medicine, 22 (4), 492–499. doi:10.1093/pubmed/22.4.492Google Scholar
Tucker, L.R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1–10.CrossRefGoogle Scholar
Verplanken, B., Friborg, O., Wang, C.E., Trafimow, D., & Woolf, K. (2007). Mental habits: Metacognitive reflection on negative self-thinking. Journal of Personality and Social Psychology, 92 (3), 526–541. doi:http://dx.doi.org/10.1037/0022-3514.92.3.526Google Scholar
Verplanken, B., & Orbell, S. (2003). Reflections on past behaviour: A self-report index of habit strength. Journal of Applied Social Psychology, 33, 1313–1330. doi:http://dx.doi.org/10.1111/j.1559-1816.2003.tb01951.xCrossRefGoogle Scholar
Wells, A. (2005). The metacognitive model of GAD: Assessment of meta-worry and relationship with DSM-IV generalized anxiety disorder. Cognitive Therapy & Research, 29 (1), 107–121. doi:http://dx.doi.org/10.1007/s10608-005-1652-0Google Scholar
Wuthrich, V.M., Johnco, C., & Knight, A. (2014). Comparison of the Penn State Worry Questionnaire (PSWQ) and abbreviated version (PSWQ-A) in a clinical and non-clinical population of older adults. Journal of Anxiety Disorders, 28 (7), 633–736.Google Scholar