Functional status, life-space mobility, and quality of life: A longitudinal mediation analysis

Quality of Life Research

Volumn 22, Issue 7, 2013, Pages 1621-1632

  Bentley, John P ^a   Brown, Cynthia J ^b   McGwin Jr , Gerald ^b   Sawyer, Patricia ^b   Allman, Richard M ^b   Roth, David L ^c  

^a UNIVERSITY OF MISSISSIPPI   (United States)

^b UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^c JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Activities of daily living; Autoregressive mediation modeling; Longitudinal mediation; Mobility; SF 12; Wilson Cleary model

Indexed keywords

ADULT; AGED; DAILY LIFE ACTIVITY; DEMOGRAPHY; FEMALE; GERIATRIC ASSESSMENT; HUMAN; LONGITUDINAL STUDY; MALE; PSYCHOLOGY; QUALITY OF LIFE; QUESTIONNAIRE; SICKNESS IMPACT PROFILE; STATISTICAL MODEL; VERY ELDERLY; WALKING DIFFICULTY; ARTICLE; PSYCHOLOGICAL ASPECT;

ACTIVITIES OF DAILY LIVING; ADULT; AGED; AGED, 80 AND OVER; FEMALE; GERIATRIC ASSESSMENT; HUMANS; LONGITUDINAL STUDIES; MALE; MOBILITY LIMITATION; MODELS, STATISTICAL; QUALITY OF LIFE; QUESTIONNAIRES; RESIDENCE CHARACTERISTICS; SICKNESS IMPACT PROFILE;

EID: 84884411251     PISSN: 09629343     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11136-012-0315-3     Document Type: Article

References (59)

1. Baker, P. S.; Bodner, E. V.; & Allman, R. M. (2003). Measuring life-space mobility in community-dwelling older adults. Journal of the American Geriatrics Society, 51(11), 1610-1614.
2. Peel, C.; Baker, P. S.; Roth, D. L.; Brown, C. J.; Bodner, E. V.; & Allman, R. M. (2005). Assessing mobility in older adults: The UAB Study of Aging Life-Space Assessment. Physical Therapy, 85(10), 1008-1019.
3. Brown, C. J.; Roth, D. L.; Allman, R. M.; Sawyer, P.; Ritchie, C. S.; & Roseman, J. M. (2009). Trajectories of life-space mobility after hospitalization. Annals of Internal Medicine, 150(6), 372-378.
4. Ware, J. E.; Kosinski, M.; & Keller, S. D. (2002). SF-12: How to score the SF-12 physical and mental health summary scales (4th ed.). Lincoln, RI: QualityMetric Incorporated.
5. Wilson, I. B.; & Cleary, P. D. (1995). Linking clinical variables with health-related quality of life: A conceptual model of patient outcomes. JAMA, 273(1), 59-65.
6. Sousa, K.; & Kwok, O. (2006). Putting Wilson and Cleary to the test: Analysis of a HRQOL conceptual model using structural equation modeling. Quality of Life Research, 15(4), 725-737.
7. Baker, S. R.; Pankhurst, C. L.; & Robinson, P. G. (2007). Testing relationships between clinical and non-clinical variables in xerostomia: A structural equation model of oral health-related quality of life. Quality of Life Research, 16(2), 297-308.
8. Ryu, E.; West, S. G.; & Sousa, K. H. (2007). Mediation and moderation: testing relationships between symptom status, functional health, and quality of life in HIV patients. Multivariate Behavioral Research, 44(2), 213-232.
9. Wyrwich, K.; Harnam, N.; Locklear, J.; Svedsäter, H.; & Revicki, D. (2011). Understanding the relationships between health outcomes in generalized anxiety disorder clinical trials. Quality of Life Research, 20(2), 255-262.
10. Heslin, K.; Stein, J.; Heinzerling, K.; Pan, D.; Magladry, C.; & Hays, R. (2011). Clinical correlates of health-related quality of life among opioid-dependent patients. Quality of Life Research, 20(8), 1205-1213.
11. Wilson, I.; & Kaplan, S. (1995). Clinical practice and patients' health status: How are the two related? Medical Care, 33(4 Suppl), AS209-AS214.
12. Ferrans, C.; Zerwic, J.; Wilbur, J.; & Larson, J. (2005). Conceptual model of health-related quality of life. Journal of Nursing Scholarship, 37(4), 336-342.
13. Maurice-Stam, H.; Oort, F.; Last, B.; & Grootenhuis, M. (2009). A predictive model of health-related quality of life in young adult survivors of childhood cancer. European Journal of Cancer Care, 18(4), 339-349.
14. Schulz, T.; Niesing, J.; Stewart, R. E.; Westerhuis, R.; Hagedoorn, M.; Ploeg, R. J.; et al. (2012). The role of personal characteristics in the relationship between health and psychological distress among kidney transplant recipients. Social Science & Medicine. doi: 10.1016/j.socscimed.2012.05.028 [Epub ahead of print].
15. Newsom, J. T.; & Schulz, R. (1996). Social support as a mediator in the relation between functional status and quality of life in older adults. Psychology and Aging, 11(1), 34-44.
16. Cheong, J.; MacKinnon, D. P.; & Khoo, S. T. (2003). Investigation of mediational processes using parallel process latent growth curve modeling. Structural Equation Modeling, 10(2), 238-262.
17. Cole, D. A.; & Maxwell, S. E. (2003). Testing mediation models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112(4), 558-577.
18. Maxwell, S. E.; & Cole, D. A. (2007). Bias in cross-sectional analyses of longitudinal mediation. Psychological Methods, 12(1), 23-44.
19. Little, T. D.; Preacher, K. J.; Selig, J. P.; & Card, N. A. (2007). New developments in latent variable panel analyses of longitudinal data. International Journal of Behavioral Development, 31(4), 357-365.
20. MacKinnon, D. P. (2008). Longitudinal mediation analysis. In D. P. MacKinnon (Ed.), Introduction to statistical mediation analysis (pp. 193-236). New York: Lawrence Erlbaum.
21. Liu, L. C.; Flay, B. R.; & Aban Aya Investigators. (2009). Evaluating mediation in longitudinal multivariate data: Mediation effects for the Aban Aya youth project drug prevention program. Prevention Science, 10(3), 197-207.
22. Audrain-McGovern, J.; Rodriguez, D.; & Kassel, J. D. (2009). Adolescent smoking and depression: Evidence for self-medication and peer smoking mediation. Addiction, 104(10), 1743-1756.
23. Selig, J. P.; & Preacher, K. J. (2009). Mediation models for longitudinal data in developmental research. Research in Human Development, 6(2-3), 144-164.
24. Negriff, S.; Ji, J.; & Trickett, P. (2011). Exposure to peer delinquency as a mediator between self-report pubertal timing and delinquency: A longitudinal study of mediation. Development and Psychopathology, 23(1), 293-304.
25. Roth, D. L.; & MacKinnon, D. P. (2012). Mediation analysis with longitudinal data. In J. T. Newsom, R. N. Jones, & S. M. Hofer (Eds.), Longitudinal data analysis: A practical guide for researchers in aging, health, and social sciences (pp. 181-216). New York: Routledge.
26. Wilson, I.; & Cleary, P. (1997). Clinical predictors of declines in physical functioning in persons with AIDS: Results of a longitudinal study. Journal of Acquired Immune Deficiency Syndromes and Human Retrovirology, 16(5), 343-349.
27. Mathisen, L.; Andersen, M. H.; Veenstra, M.; Wahl, A. K.; Hanestad, B. R.; & Fosse, E. (2007). Quality of life can both influence and be an outcome of general health perceptions after heart surgery. Health and Quality of Life Outcomes, 5, 27.
28. Devine, K.; Reed-Knight, B.; Loiselle, K.; Simons, L.; Mee, L.; & Blount, R. (2011). Predictors of long-term health-related quality of life in adolescent solid organ transplant recipients. Journal of Pediatric Psychology, 36(8), 891-901.
29. Collins, L. M.; Graham, J. W.; & Flaherty, B. P. (1998). An alternative framework for defining mediation. Multivariate Behavioral Research, 33(2), 295-312.
30. Allman, R. M.; Sawyer, P.; & Roseman, J. M. (2006). The UAB Study of Aging: Background and prospects for insights into life-space mobility among older African-Americans and Whites in rural and urban settings. Aging Health, 2(3), 417-428.
31. Wolinsky, F.; Bentler, S.; Hockenberry, J.; Jones, M.; Obrizan, M.; Weigel, P.; et al. (2011). Long-term declines in ADLs, IADLs, and mobility among older Medicare beneficiaries. BMC Geriatrics, 11, 43.
32. Parker, M.; Baker, P. S.; & Allman, R. M. (2002). A life-space approach to functional assessment of mobility in the elderly. Journal of Gerontological Social Work, 35(4), 35-55.
33. Ritchie, C.; Locher, J.; Roth, D.; McVie, T.; Sawyer, P.; & Allman, R. (2008). Unintentional weight loss predicts decline in activities of daily living function and life-space mobility over 4 years among community-dwelling older adults. Journal of Gerontology. Series A, Biological Sciences and Medical Sciences, 63(1), 67-75.
34. Okonkwo, O. C.; Roth, D. L.; Pulley, L.; & Howard, G. (2010). Confirmatory factor analysis of the validity of the SF-12 for persons with and without a history of stroke. Quality of Life Research, 19(9), 1323-1331.
35. Charlson, M.; Pompei, P.; Ales, K.; & MacKenzie, C. (1987). A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. Journal of Chronic Diseases, 40(5), 373-383.
36. Hoyle, R. H.; & Kenny, D. A. (1999). Sample size, reliability, and tests of statistical mediation. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 195-222). Thousand Oaks, CA: Sage.
37. MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. New York: Lawrence Erlbaum.
38. Marsh, H. W. (1993). Stability of individual differences in multiwave panel studies: Comparison of simplex models and one-factor models. Journal of Educational Measurement, 30(2), 157-183.
39. Curran, P. J.; & Bollen, K. A. (2001). The best of both worlds: Combining autoregressive and latent curve models. In L. M. Collins & A. G. Sayer (Eds.), New methods for the analysis of change (pp. 107-135). Washington, DC: American Psychological Association.
40. Gollob, H. F.; & Reichardt, C. S. (1991). Interpreting and estimating indirect effects assuming time lags really matter. In L. M. Collins & J. L. Horn (Eds.), Best methods for the analysis of change: recent advances, unanswered questions, future directions (pp. 243-259). Washington, DC: American Psychological Association.
41. Anderson, S. E.; & Williams, L. J. (1992). Assumptions about unmeasured variables with studies of reciprocal relationships: The case of employee attitudes. Journal of Applied Psychology, 77(5), 638-650.
42. Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290-312.
43. MacKinnon, D. P.; Lockwood, C. M.; & Williams, J. (2004). Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivariate Behavioral Research, 39(1), 99-128.
44. Browne, M. W.; & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). Newbury Park, CA: Sage.
45. Hu, L.; & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.
46. Yu, C. Y. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. Doctoral dissertation, University of California, Los Angeles.
47. Muthén, B. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators. Psychometrika, 49(1), 115-132.
48. Asparouhov, T.; & Muthén, B. (2010). Weighted least squares estimation with missing data. http://www.statmodel.com/download/ GstrucMissingRevision.pdf. Accessed 1 Aug 2011.
49. Muthén, L. K.; & Muthén, B. O. (1998-2010). Mplus user's guide (6th edn). Los Angeles, CA: Muthén & Muthén.
50. Millsap, R. E. (2005). Four unresolved problems in studies of factorial invariance. In A. Maydeu-Olivares & J. J. McArdle (Eds.), Contemporary psychometrics: A festschrift to Roderick P. McDonald (pp. 153-171). Mahwah, NJ: Erlbaum.
51. Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York: The Guilford Press.
52. Andersen, C.; Wittrup-Jensen, K.; Lolk, A.; Andersen, K.; & Kragh-Sørensen, P. (2004). Ability to perform activities of daily living is the main factor affecting quality of life in patients with dementia. Health and Quality of Life Outcomes, 2, 52.
53. Vest, M.; Murphy, T.; Araujo, K.; & Pisani, M. (2011). Disability in activities of daily living, depression, and quality of life among older medical ICU survivors: A prospective cohort study. Health and Quality of Life Outcomes, 9, 9.
54. Höfer, S.; Benzer, W.; Alber, H.; Ruttmann, E.; Kopp, M.; Schüssler, G.; et al. (2005). Determinants of health-related quality of life in coronary artery disease patients: A prospective study generating a structural equation model. Psychosomatics, 46(3), 212-223.
55. Heo, S.; Moser, D.; Riegel, B.; Hall, L.; & Christman, N. (2005). Testing a published model of health-related quality of life in heart failure. Journal of Cardiac Failure, 11(5), 372-379.
56. Saban, K.; Penckofer, S.; Androwich, I.; & Bryant, F. (2007). Health-related quality of life of patients following selected types of lumbar spinal surgery: A pilot study. Health and Quality of Life Outcomes, 5, 71.
57. Collins, L. M.; & Graham, J. W. (2002). The effect of the timing and spacing of observations in longitudinal studies of tobacco and other drug use: Temporal design considerations. Drug and Alcohol Dependence, 68(Suppl1), S85-S96.
58. Schafer, J. L. (1997). Analysis of incomplete multivariate data. London: Chapman & Hall.
59. Hedeker, D.; & Gibbons, R. D. (1997). Application of random-effects pattern-mixture models for missing data in longitudinal studies. Psychological Methods, 2(1), 64-78.