Newborn and Infant Nursing Reviews
Volume 10, Issue 1 , Pages 10-18 , March 2010

Potential Pitfalls in Collecting and Analyzing Longitudinal Data From Chronically Ill Populations

  • Diane Holditch-Davis, PhD, RN, FAAN

      Affiliations

    • Corresponding Author InformationAddress correspondence to Diane Holditch-Davis, PhD, RN, FAAN, Duke University School of Nursing, Box 3322 DUMC, Durham, NC 27710.
  • ,
  • Janet Levy, PhD

References 

  1. Gallagher DM. Current clinical issues impacting the lives of patients living with HIV/AIDS. J Assoc Nurs AIDS Care. 2007;18(1 Suppl):S11–S16
  2. Hwang W, Weller W, Ireys H, et al. Out-of-pocket medical spending for care of chronic conditions. Health Aff (Millwood). 2001;20:267–278
  3. Martin JA, Kung HC, Mathews TJ, et al. Annual summary of vital statistics: 2006. Pediatrics. 2007;121:788–801
  4. Mathews TJ, MacDorman MF. Infant mortality statistics from the 2003 period linked birth/infant death data set. Natl Vital Stat Rep. 2006;54:1–29
  5. Menotti A, Kromhout D, Blackburn H, et al. Forty-year mortality from cardiovascular diseases and all causes of death in the US Railroad cohort of the Seven Countries Study. Eur J Epidemiol. 2004;19:417–424
  6. Saigal S, Doyle LW. An overview of mortality and sequelae of preterm birth from infancy to adulthood. Lancet. 2008;371:261–269
  7. Suthers K, Kim JK, Crimmins E. Life expectancy with cognitive impairment in the older population of the United States. J Gerontol B Psychol Sci Soc Sci. 2003;58:S179–S186
  8. In:  Funk SG,  Tornquist EM,  Leeman J, et al. editor. Key aspects of preventing and managing chronic illness. New York: Springer; 2001;
  9. Thorne S, Paterson B, Russell C. The structure of everyday self-care decision making in chronic illness. Qual Health Res. 2003;13:1337–1352
  10. Paterson BL. The shifting perspectives model of chronic illness. J Nurs Scholarsh. 2001;33:21–26
  11. Thorne SE, Paterson BL. Two decades of insider research: what we know and don't know about chronic illness experience. Annu Rev Nurs Res. 2000;18:3–25
  12. Baldewicz TT, Leserman J, Silva SG, et al. Changes in neuropsychological functioning with progression of HIV-1 infection: results of an 8-year longitudinal investigation. AIDS Behav. 2004;8:345–355
  13. Teno JM, Weitzen S, Fennell ML, et al. Dying trajectory in the last year of life: does cancer trajectory fit other diseases?. J Palliat Med. 2001;4:457–464
  14. Beyene Y, Gilliss C, Lee K. “I take the good with the bad, and I moisturize”: defying middle age in the new millennium. Menopause. 2007;14:734–741
  15. Holditch-Davis D, Docherty S, Miles MS, et al. Developmental outcomes of infants with bronchopulmonary dysplasia: comparison with other medically fragile infants. Res Nurs Health. 2001;24:181–193
  16. Holditch-Davis D, Merrill P, Schwartz T, et al. Predictors of wheezing in prematurely born children. J Obstet Gynecol Neonat Nurs. 2008;37:262–273
  17. McConnell ES, Branch LG, Sloane RJ, et al. Natural history of change in physical function among long-stay nursing home residents. Nurs Res. 2003;52:119–126
  18. Black BP, Holditch-Davis D, Miles MS. Life Course Theory as a framework to examine becoming a mother of a medically fragile preterm infant. Res Nurs Health. 2009;32:38–49
  19. Davis LL, Buckwalter K. Family caregiving after nursing home admission. J Mental Health Aging. 2001;7:361–379
  20. Hendrix CC, Ray C. Informal caregiver training on home care and cancer symptom management prior to hospital discharge: a feasibility study. Oncol Nurs Forum. 2006;33:793–798
  21. Bosworth HB, Dudley T, Olsen MK, et al. Racial differences in blood pressure control: potential explanatory factors. Am J Med. 2006;119:70.e9–70.e15
  22. Trivedi RB, Ayotte B, Edelman D, et al. The association of emotional well-being and marital status with treatment adherence among patients with hypertension. J Behav Med. 2008;31:489–497
  23. Bailey D, Albala D, Clipp E, et al. Psychosocial trajectories of men monitoring PSA levels following treatment for prostate cancer. Oncol Nurs Forum. 2007;34:186
  24. Davis LL, Weaver M, Zamrini E, et al. Biopsychological markers of distress in informal caregivers. Biol Res Nurs. 2004;6:90–99
  25. Holditch-Davis D, Miles MS, Weaver MA, et al. Patterns of distress in African-American mothers of preterm infants. J Behav Dev Pediatr. 2009;30:193–205
  26. Sandelowski M, Lambe C, Barroso J. Stigma in HIV-positive women. J Nurs Schol. 2004;36:122–128
  27. Barroso J, Preisser JS, Leserman J, et al. Predicting fatigue and depression in HIV-positive gay men. Psychosomatics. 2002;43:317–325
  28. Hudson AL, Taylor D, Lee KA, et al. Symptom experience and self-care strategies among healthy, midlife African-American women. J Natl Black Nurses Assoc. 2005;16:6–14
  29. Keefe FJ, Lipkus I, Lefebvre JC, et al. The social context of gastrointestinal cancer pain: a preliminary study examining the relation of patient pain catastrophizing to patient perceptions of social support and caregiver stress and negative responses. Pain. 2003;103:151–156
  30. Lyles KW, Colón-Emeric CS, et al. for the HORIZON Recurrent Fracture Trial Zoledronic acid in reducing clinical fracture and mortality after hip fracture. N Engl J Med. 2007;35:nihpa40967
  31. Mosher CE, Lipkus IM, Sloane R, et al. Cancer survivors' health worries and associations with lifestyle practices. J Health Psychol. 2008;13:1105–1112
  32. Goetzel RZ, Ozminkowski RJ, Villagra VG, et al. Return on investment in disease management: a review. Health Care Financ Rev. 2005;26:1–19
  33. Fitzpatrick J, Fulmer T, Wallace M, et al. Geriatric nursing research digest. New York: Springer; 2000;
  34. Miles MS, Holditch-Davis D. Enhancing nursing research with children and families using a developmental science perspective. In:  Fitzpatrick JJ,  Miles MS,  Holditch-Davis D editor. Annual Review of Nursing Research. Vol. 21:New York: Springer; 2003;p. 1–20
  35. Holditch-Davis D, Black B. Care of preterm infants: programs of research and their relationship to developmental science. In:  Fitzpatrick JJ,  Miles MS,  Holditch-Davis D editor. Annual Review of Nursing Research. vol. 21:New York: Springer; 2003;p. 23–60
  36. Kelly JR, McGrath JE. In: On time and method. Newbury Park (Calif): Sage; 1988;p. 9–28
  37. Holditch-Davis D, Scher M, Schwartz T, et al. Sleeping and waking state development in preterm infants. Early Hum Dev. 2004;80:43–64
  38. Miles MS, Holditch-Davis D, Scher M, et al. A longitudinal study of depressive symptoms in mothers of prematurely born infants. J Dev Behav Pediatr. 2007;28:36–44
  39. Lentz MJ. Time series—issues in sampling. West J Nurs Res. 1990;12:123–127
  40. Holditch-Davis D, Bartlett TR, Belyea M. Developmental problems and the interactions between mothers and their three-year-old prematurely born children. J Pediatr Nurs. 2000;15:157–167
  41. Holditch-Davis D, Schwartz T, Black B, et al. Correlates of mother-premature infant interactions. Res Nurs Health. 2007;30:333–346
  42. Holditch-Davis D. The development of sleeping and waking states in high-risk preterm infants. Infant Behav Dev. 1990;13:513–531
  43. Menard S. Longitudinal research (2nd ed.). Newbury Park, CA: Sage; 1991: pp. 35-38, 42-48.
  44. Taris TW. In: A primer in longitudinal data analysis. London: Sage; 2000;p. 39–54
  45. Collins LM. Measurement in longitudinal research. In:  Collins LM,  Horn JL editor. Best methods for the analysis of change: recent advances, unanswered questions, future directions. Washington, DC: American Psychological Assoc; 1991;p. 137–148
  46. Bayley N. Manual for the Bayley Scales of Infant Development-Second Edition. San Antonio: Psychological Corp; 1993;
  47. Bryk T, Raudenbush S. Hierarchical linear models: applications and data analysis methods. Newbury Park (Calif): Sage; 1992;
  48. Holditch-Davis D, Edwards L, Helms R. Modeling development of sleep-wake behaviors: I. Using the mixed general linear model. Physiol Behav. 1998;63:311–318
  49. Krueger C, Tian LA. Comparison of the general linear mixed model and repeated measures ANOVA using a dataset with multiple missing data points. Biol Res Nurs. 2004;6:151–157
  50. Singer JD, Willet JB. Applied longitudinal data analysis: modeling change and event occurrence. Oxford (UK): Oxford University; 2003;
  51. Winer B. Statistical principles in experimental design. 2nd ed.. New York: McGraw-Hill; 1971;
  52. Zeger SL, Liang KY, Albert PS. Models for longitudinal data: a generalized estimating equation approach. Biometrics. 1988;44:1049–1060
  53. Holditch-Davis D, Scher M, Schwartz T. The development of respiration in preterm infants. J Perinat. 2004;24:631–639
  54. Artinian NT, Flack JM, Nordstrom CK, et al. Effects of nurse-managed telemonitoring on blood pressure at 12-month follow-up among urban African Americans. Nurs Res. 2007;56:312–322
  55. Morrison DF. Applied linear statistical methods. Englewood Cliffs: Prentice-Hall, Inc; 1983;
  56. Gueorguieva R, Krystal JH. Move over ANOVA: progress in analyzing repeated measures data and its reflection in papers published in the Archives of General Psychiatry. Arch Gen Psychiatr. 2004;61:310–317
  57. Delucchi K, Bostrom A. Small sample longitudinal clinical trials with missing data: a comparison of analytic methods. Psychol Methods. 1999;4:158–172
  58. Verbeke G, Molenberghs G. Linear mixed models for longitudinal data. New York: Springer; 2000;
  59. Diggle PJ, Heagerty P, Liang KY, et al. Analysis of longitudinal data. 2nd ed. Oxford: Oxford University; 2002;
  60. Diggle PJ, Kenward MG. Informative drop-out in longitudinal data analysis (with discussion). Appl Stat. 1994;43:49–73
  61. Rubin DB. Multiple Imputation after 18+ years. J Am Stat Assoc. 1996;91:473–489
  62. Schafer JL, Olsen MK. Multiple imputation for multivariate missing-data problems: a data analyst's perspective. Multivar Behav Res. 1998;33:545–571
  63. Laird NM, Ware JH. Random-effects models for longitudinal data. Biometrics. 1982;38:968–974
  64. Verbyla AP. Conditioning in the growth curve model. Biometrika. 1986;73:475–483
  65. Verbyla AP, Venables WN. An extension of the growth curve model. Biometrika. 1988;75:129–138
  66. Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychol Methods. 2002;7:147–177
  67. Little RJ, Rubin DB. Statistical analysis with missing data. New York: Wiley; 1987;
  68. Schafer JL. Analysis of incomplete multivariate data. London: Chapman & Hall; 1997;
  69. Rubin DB. Inference and missing data. Biometrika. 1976;63:581–592

 The preparation of this article was partially supported by grants R01 NR009418, R01 NR01894, and R01 NR05263 from the National Institute for Nursing Research, NIH to the first author.

PII: S1527-3369(09)00171-8

doi: 10.1053/j.nainr.2009.12.003

Newborn and Infant Nursing Reviews
Volume 10, Issue 1 , Pages 10-18 , March 2010