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Gepubliceerd in: Quality of Life Research 4/2017

01-10-2016

Change in physical function among women as they age: findings from the Australian Longitudinal Study on Women’s Health

Auteurs: Lucy Leigh, Julie E. Byles, Gita D. Mishra

Gepubliceerd in: Quality of Life Research | Uitgave 4/2017

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Abstract

Purpose

Decline in physical function is common in older age, with important consequences for health-related quality of life, health care utilisation, and mortality. This study aimed to identify patterns of change in physical functioning (PF) for women in later life.

Methods

PF was measured longitudinally using the ten-item subscale of the Medical Outcomes Study 36-item Short Form Health Survey, for 10 515 participants of the Australian Longitudinal Study on Women’s Health, who completed at least two surveys between 1999 (aged 73–78 years) and 2011 (aged 85–90 years). Conditional and unconditional latent profile analysis was conducted separately for deceased and surviving subgroups of women to uncover latent patterns of change in PF scores over time.

Results

Four patterns of change were identified for women who were still alive in 2011 (N = 5928), and four similar classes for deceased women (N = 4587): (1) ‘poor PF’ representing women with low PF scores, (2) ‘moderate PF’, (3) ‘high PF’, and (4) ‘very high PF’, where scores remained very high. All patterns exhibited a decrease in PF over time. Factors which predict low PF included sedentary levels of exercise, obese and overweight BMI, difficulty managing on income, and lower education.

Conclusions

The results provided evidence for a gradual decrease in PF for all women with age; however, there was no evidence for an increased rate of decline prior to death.
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volgende artikel Health-related quality of life in patients with serious non-specific symptoms undergoing evaluation for possible cancer and their experience during the process: a mixed methods study
Literatuur
1.
2.
Litwin, H., Shira, A., & Schmotkin, D. (2012). Self-reported functional status among the old-old: A comparison of two Israeli cohorts. Journal Aging Health, 24(5), 846–862. CrossRef
3.
Sibbritt, D. W., Byles, J. E., & Regan, C. (2007). Factors associated with decline in physical functional health in a cohort of older women. Age and Ageing, 36, 382–388. CrossRefPubMed
4.
5.
Fries, J. F. (1982). The compression of morbidity. The Milbank Memorial Fund Quarterly, 61(3), 397–419. CrossRef
6.
7.
Ahacic, K., Parker, M. G., & Thorslund, M. (2003). Mobility limitations 1974–1991: Period changes explaining improvement in the population. Social Science and Medicine, 57, 2411–2422. CrossRefPubMed
8.
Wang, Z., Zeng, Y., Jeune, B., et al. (1997). A demographic and health profile of centenarians in China. In J. M. Robine, et al. (Eds.), Longevity: to the limits and beyond (pp. 91–104). New York: Springer.
9.
Chatterji, S., Byles, J., Cutler, D., et al. (2014). Health, functioning, and disability in older adults - present status and future implications. The Lancet, 14(6), 1462–1468.
10.
Gill, T. M., Guo, Z., & Allore, H. G. (2008). Subtypes of disability in older persons over the course of nearly 8 years. Journal of the American Geriatrics Society, 56, 436–443. CrossRefPubMedPubMedCentral
11.
Hsu, H.-C., & Jones, B. L. (2012). Multiple trajectories of successful aging of older and younger cohorts. Gerontologist, 52(6), 843–856. CrossRefPubMed
12.
Beckett, L. A., Brock, D. B., Lemke, J. H., et al. (1996). Analysis of change in self-reported physical function among older persons in four population studies. American Journal of Epidemiology, 143(8), 766–778. CrossRefPubMed
13.
Seidel, D., Jagger, C., Brayne, C., et al. (2009). Recovery in instrumental activities of daily living (IADLs): findings from the Medical Research Council Cognitive Function and Ageing Study (MRC CFAS). Age and Ageing, 38(6), 663–668. CrossRefPubMed
14.
Dobson, A, Hockey,R., Brown W.J., et al. (2015) Cohort Profile Update: Australian Longitudinal Study on Women’s Health. International Journalof Epidemiology. Published online 30/6/2015.
15.
Ware, J. E., Kosinski, M., & Keller, S. D. (1994). SF-36 physical and mental health summary scales: A user’s manual. Boston, MA: The Health Institute.
16.
Bohannon, R. W., & DePasquale, L. (2010). Physical functioing scale of the Short-Form (SF) 36: Internal consistency and validity with older adults. Journal of Geriatric Physical Therapy, 33, 16–18. PubMed
17.
Lyons, R. A., Perry, H. M., & Littlepage, B. N. C. (1994). Evidence for the validity of the short-form 36 questionnaire (SF-36) in an elderly population. Age and Ageing, 23(3), 182–186. CrossRefPubMed
18.
Bartsch, L., Butterworth, P., Byles, J., et al. (2011). Examining the SF36 in an older population: Analysis of data from the Dynamic Analyses to Optimise Ageing (DYNOPTA) project. Quality of Life Research, 20(8), 1227–1236. CrossRefPubMed
19.
Taft, C., Karlsson, J., & Sullivan, M. (2001). Do SF-36 summary component scores accurately summarize subscale scores? Quality of Life Research, 10(5), 395–404. CrossRefPubMed
20.
21.
Russell, A., j. Ball, W.J. Brown, et al. Physical activity - Survey 2 and latr surveys. 2001 [cited 2016 9th June].
22.
Powers, J., Ball, J., Adamson, L., et al. (2000). Effectiveness of the National Death Index for establishing the vital status of older women in the Australian Longitudinal Study on Women’s Health. Australian and New Zealand Journal Public Health, 24, 526–528. CrossRef
23.
Collins, L.M. and S.T. Lanza, Latent Class and Latent Transition Analysis with Applications in the Social, Behavioural and Health Sciences Wiley Series in Probability and Statistics, ed. D.J. Balding, et al. 2010, Hoboken, New Jersey: John Wiley & Sons.
24.
Muthén, B. and Muthén L.K. (1998–2012) MPLUS User’s Guide. Seventh Edition. Muthén & Muthén: Los Angeles, CA.
25.
Nylund, K. L., Asparouhov, T., & Muthen, B. (2007). Deciding on the number of classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo simulation study. Structual Equation Modeling, 14(4), 535–569. CrossRef
26.
Celeux, G., & Soromenho, G. (1996). An entropy criterion for assessing the number of clusters in a mixture model. Journal of Classification, 13, 195–212. CrossRef
27.
28.
29.
Silverwood, R. J., Nitsch, D., Pierce, M., et al. (2011). Characterizing longitudinal patterns of physical activity in mid-adulthood using latent class analysis: results from a prospective cohort study. American Journal of Epidemiology, 174(12), 1406–1415. CrossRefPubMedPubMedCentral
30.
Lanza, S. T., & Collins, L. M. (2006). A mixture model of discontinuous development in heavy drinking from ages 18 to 30: The role of college enrollment. Journal of Studies on Alcohol, 67(4), 552–561. CrossRefPubMed
31.
Goodman, L. A. (1974). The analysis of systems of qualitative variables when some of the variables are unobservable. Part I - A modified latent structure approach. American Journal of Sociology, 79, 1179–1259. CrossRef
32.
Botoseneanu, A., Allore, H. G., Gahbauer, E. A., et al. (2013). Long-term trajectories of lower extremity function in older adults: Estimating gender differences while accounting for potential mortality bias. The Journal of Gerontology A: Biology Science Medical Science, 68(7), 861–868.
33.
Sliwinski, M. J., Stawski, R. S., Hall, R. B., et al. (2006). On the importance of distinguishing pre-terminal and terminal cognitive decline. European Psychologist, 11, 172–181. CrossRef
34.
Wilson, R. S., Beck, T. L., Bienias, J. L., et al. (2007). Terminal cognitive decline: Accelerated loss of cognition in the last years of life. Psychosomatic Medicine, 69, 131–137. CrossRefPubMed
35.
Gerstorf, D., Ram, N., Mayraz, G., et al. (2010). Late-life decline in well-being across adulthood in Germany, the United Kingdom, and the United States: Something is seriously wrong at the end of life. Psychology and Aging, 25, 477–485. CrossRefPubMedPubMedCentral
36.
Fries, J. F., Bruce, B., & Chakravarty, E. (2011). Compression of morbidity 1980-2011: A focused review of paradigms and progress. Journal of Aging Research, 261702, 1–10. CrossRef
37.
Xu, X., Liang, J., Botoseneanu, A., et al. (2014). Socioeconomic stratification and multidimensional health trajectories: evidence of convergence in later old age. The Journal of Gerontology B: Psychological Science Social Science, 70(4), 661–671. CrossRef
38.
Heesch, K.C., Miller, Y.D., & Brown, W.J. (2007) Relationship between physical activity and stiff or painful joints in mid-aged women and older women: a 3 year prospective study. Arthritis Resaerch and Therapy, 9(2), R34. CrossRef
39.
Jamrozik, K., McLaughlin, D., McCaul, K., et al. (2011). Women who smoke like men die like men who smoke: Findings from two Australian cohort studies. Tobacco Control, 20, 258–265. CrossRefPubMed
40.
Brown, W. J., Dobson, A. J., Bryson, L., et al. (1999). Women’s Health Australia: On the progress of the main cohort studies. Journal of Womens Health and Gender-Based Medicine, 8(5), 681–689. CrossRef
41.
Hockey, R., Tooth, L., & Dobson, A. (2011). Relative survival: a useful tol to assess generalisability in longitudinal studies of health in older persons. Emerging Trends in Epidemiolgy, 8(1), 3. CrossRef
42.
Brilleman, S., Pachana, N., & Dobson, A. (2010). The impact of attrition on the representativeness of cohort studies of older people. BMC Medical Research Methodology, 10, 71. CrossRefPubMedPubMedCentral
43.
Beswick, A. D., Rees, K., Dieppe, P., et al. (2008). Complex interventions to improve physical function and maintain independent living in elderly people: A systematic review and meta-analysis. Lancet, 371, 125–135. CrossRef
Metagegevens
Titel
Change in physical function among women as they age: findings from the Australian Longitudinal Study on Women’s Health
Auteurs
Lucy Leigh
Julie E. Byles
Gita D. Mishra
Publicatiedatum
01-10-2016
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 4/2017
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-016-1422-3

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