Self-management abilities and frailty are important for healthy aging among community-dwelling older people; a cross-sectional study
© Cramm et al.; licensee BioMed Central Ltd. 2014
Received: 30 May 2013
Accepted: 27 February 2014
Published: 6 March 2014
This study aimed to identify the relationships of self-management abilities and frailty to perceived poor health among community-dwelling older people in the Netherlands while controlling for important individual characteristics such as education, age, marital status, and gender.
The cross-sectional study sample consisted of 869/2212 (39% response rate) independently living older adults (aged ≥70 years) in 92 neighborhoods of Rotterdam. In the questionnaires we assessed self-rated health, frailty using the Tilburg Frailty Indicator (TFI) and self-management abilities with the short version of the Self-Management Ability Scale (SMAS-S). We first used descriptive analysis to identify those in poor and good health. Differences between groups were established using chi-squared and t-tests. Relationships between individual characteristics, frailty, self-management abilities and poor health were investigated with correlation analyses. Multilevel logistic regression analyses were than performed to investigate the relationships of self-management abilities and frailty to health while controlling for age, gender, education, and marital status. The results of the multilevel regression analyses are reported as odd ratios.
Respondents in poor health were older than those in good health (78.8 vs. 77.2; p ≤ .001). A significantly larger proportion of older people in poor health were poorly educated (38.4% vs. 19.0%; p ≤ .001) and fewer were married (33.6% vs. 46.3%; p ≤ .001). Furthermore, older people in poor health reported significantly lower self-management abilities (3.5 vs. 4.1; p ≤ .001) and higher levels of frailty (6.9 vs. 3.3; p ≤ .001). Correlation analyses showed significant relationships between frailty, self-management abilities and poor health. Multilevel analyses showed that, after controlling for background characteristics, self-management abilities were negatively associated with poor health (p ≤ .05) and a positive relationship was found between frailty and poor health (p ≤ .05) among older people in the community.
Self-management abilities and frailty are important for healthy aging among community-dwelling older people in the Netherlands. Particularly vulnerable are the lower educated older adults. Interventions to improve self-management abilities may help older people age healthfully and prevent losses as they age further.
KeywordsCommunity study Netherlands Self-management Frailty Health
Worldwide populations are aging, and age-related diseases and disabilities represent major challenges for societies because they place additional strains on the economy and the sustainability of public finances . Although the continuing increase in life expectancy is a major achievement, it presents the challenge of keeping older people healthy.
Healthy aging requires the proactive management of resources in an environment of increasing losses and declining gains that accompany aging . Healthy aging is expected to depend on older peoples’ abilities to self-regulate or self-manage their lives and aging processes. These abilities depend not only on the physical health aspects of aging (e.g., regular exercise and healthy eating) [3–5], but also on the social and psychological aspects of life, such as regularly socializing with friends/family . The self-management of well-being (SMW) theory  describes how older individuals can achieve well-being and is based on the notion that healthy aging is a lifelong process of realizing and sustaining well-being, even in the face of declining resources. For example, it includes the ability to look ahead and invest in resources (e.g., good health, good social relationships) that may contribute to health in the long term.
High levels of frailty are found among older people [8, 9]; the prevalence of frailty is currently around 40%, and is expected to increase further as populations age . Prevalence of frailty, however, varies depending on how frailty is defined. Definitions of frailty are often found to be synonymous with disability [11–13], comorbidity , or advanced old age . According to Verbrugge , frailty can be seen as a syndrome in which more areas of functioning decline with aging. In this way frailty is a precursor state of functional limitations and disability associated with the aging process itself such as the comorbidity of chronic diseases and multiple risk factors including psychosocial and functional limitations. Increasingly, however, frailty is considered a multidimensional geriatric syndrome  consisting of physical, psychological, social, and environmental factors [17, 18], which is also the approach we used in our study. Gobbens and colleagues  defined this multidimensional concept of frailty as a dynamic state affecting an individual who experiences losses in one or more domains of human functioning (physical, psychological, social), which is caused by the influence of a range of variables and increases the risk of adverse outcomes. For example, frailty is known to increase the risks of falling, hospitalization, acute and chronic diseases, disability, and mortality [8, 18, 20, 21]. Furthermore, it has been associated with increased health service utilization and healthcare costs [22, 23]. As such, frailty represents a public health problem  and its prevention is considered a priority by policymakers and healthcare organizations . For the effective promotion of healthy aging interventions must be initiated early . Interventions to promote healthy aging can be used to delay the onset of frailty or reduce its adverse outcomes among community-dwelling older people.
Although several studies have examined well-being and self-management abilities [26–30] or frailty [17–19] among older people, the relationships of self-management abilities, as described by the SMW theory , and frailty to health have not yet been investigated in older populations. Thus, this study aimed to identify the relationships of self-management abilities and frailty to self-perceived health among community-dwelling older people while controlling for important individual characteristics, such as education, age, marital status, and gender.
A sample of 2212 independently living older adults (aged ≥70 years) in 10 districts of Rotterdam was randomly identified using the population register. These districts consisted of 92 neighborhoods. The sample was proportionate to age (age groups: 70–74, 75–79, 80–84, and 85+ years). Eligible community-dwelling older people were asked by mail to complete a questionnaire. Respondents were rewarded with a 1/5 ticket in the monthly Dutch State Lottery. Non-respondents were sent two reminders by mail. This strategy yielded a 39% (N = 869) response rate. The study was approved by the ethics committee of the Erasmus University Medical Center of Rotterdam in June 2011.
In this study, we measured self-rated health, which is considered a valid and robust measure of general health status . A large body of evidence has demonstrated that self-reported health assessment has high predictive validity for mortality, physical disability, and chronic disease status [32–34]. Self-assessed health has also been shown to be a stronger predictor of mortality than physician-assessed health [33, 34]. In this study, respondents were asked to rate their perceived health on a five-point ordinal scale, which we dichotomized into “poor” (1, 2) and “good” (3–5) responses.
Gobbens and colleagues  recently described the Tilburg Frailty Indicator (TFI), an instrument consisting of two subscales. The first subscale (10 items) comprises determinants of frailty, such as sociodemographic data and data about life events and chronic diseases; the second subscale (15 items), which we used in this study, determines the level of frailty according to physical (eight items), social (three items), and psychological (four items) factors, including one item about cognition. Most items can be answered with “yes” or “no” responses; items concerning psychological factors also include the option of “sometimes” as a response. Scores for the TFI range from 0 to 15, with a score ≥ 5 considered as frail. The scale’s internal consistency was 0.77. Earlier research showed that the psychometric properties of the TFI are good and that the TFI's validity provide strong evidence for an integral definition of frailty consisting of physical, psychological, and social domains .
We measured self-management abilities with the short version of the Self-Management Ability Scale (SMAS) . This instrument assesses a broad repertoire of self-management abilities to maintain one's well-being. Examples are investing in resources for long-term benefits, efficaciously managing resources, and taking initiatives (i.e., being instrumental or self-motivating in enhancing health and well-being). Average self-management ability scores ranged from 1 to 6, with higher scores indicating better self-management abilities. The scale’s internal consistency was 0.92. Cramm and colleagues  showed that the psychometric properties of both the SMAS and SMAS Short version are good.
We also asked respondents to provide demographic characteristics (marital status, gender and age) and to indicate the highest educational qualification achieved using an eight-point scale ranging from 1 (primary school or less) to 8 (university degree). In our analyses, we dichotomized this variable into (1) low educational level (more than primary education, but without a diploma, or less) and (0) high educational level (more than primary education with a diploma, or higher).
We first used descriptive analysis to identify those in poor and good health. Differences between groups were established using chi-squared and t-tests. Secondly, we investigated bivariate relationships between individual characteristics, frailty, self-management abilities and poor health using correlation analyses. Thirdly, logistic multilevel analyses were performed to investigate the relationships of self-management abilities and frailty to health while controlling for age, gender, education, and marital status. Multilevel analyses were used to adjust for dependency of the observations (level 1) within the 92 neighborhoods (level 2) and 10 districts (level 3). Explained variance at the neighborhood level (intercept only) is 0.13 and at district level 0.10. The results of the multilevel regression analyses are reported as odd ratios. Descriptive statistics and differences between groups were analyzed using SPSS software 19.0 (IBM). MLwiN was used for the logistic multilevel analyses.
Background characteristics, self-management abilities, and frailty in community-dwelling older people in poor and good health
N = 855
N = 480 (56.1%)
N = 375 (43.9%)
Age [years; mean (SD)]
Low educational level
Associations among individual characteristics, self-management abilities, frailty, and poor health of older adults
1. Sex (female)
3. Education (low)
4. Marital status (married)
5. Self-management abilities
7. Poor health
Results of logistic multilevel analyses of relationships of self-management abilities and frailty to poor health
N = 766
Adjusted OR (95% CI)
Poor educational level
This study aimed to identify the relationships of self-management abilities and frailty with self-perceived health among community-dwelling older people while controlling for important individual characteristics, such as education, age, marital status, and gender. The results of this study clearly showed significant relationships between self-rated health, self-management abilities and frailty among community-dwelling older people in the Netherlands. Those in poor health reported lower educational levels. Interventions that aim to enhance healthy aging are thus particularly important for older people with low educational levels, as this population experiences greater health losses. This study also found that older people in poor health were older than those in good health; thus, interventions to enhance self-management abilities may best be started at a younger age to prevent the onset of poor health. Such interventions may also need to differ among community-dwelling older people with different educational levels; more highly educated patients may find healthy aging and/or self-management of the impacts of frailty to be easier compared with older people with lower educational levels. Previous research, for example, showed that self-management abilities are strongly linked to social class, such that better-off individuals (those with higher income and/or educational levels) were better self-managers . An explanation for this difference is that less-educated people often lack the necessary resources for effective self-management . Thus, accounting for educational levels may be important when designing self-management interventions. Furthermore, interventions to delay the onset of frailty or reduce its adverse outcomes and to promote healthy aging among community-dwelling older people may be best aimed at the physical health aspects of aging, as well as the social and psychological aspects of life . This study has shown that community-dwelling older people may benefit from interventions that enhance a broad repertoire of self-management abilities, as described in the SMW theory , which may also influence all dimensions (physical, psychological, and social) of frailty .
The limitations of this study should be considered when interpreting the findings. First and most importantly, cross-sectional data were collected, preventing the inference of causal relationships. Further research is necessary to investigate longitudinal relationships among self-management abilities, frailty, and healthy aging among community-dwelling older people. Secondly, the low response rate is also an important limitation of our study. We investigated community-dwelling older adults, which may explain the low response rate. Frailty may be higher among non-responders. Furthermore, poor levels of cognitive, social and physical functioning and low literacy may be found among those respondents who did not complete the questionnaire, which may have resulted in non-response bias. The response rates in our study are, however, similar to those reported in other studies in which respondents received questionnaires by mail [37, 38]. Thirdly, although our study showed that self-management abilities are important for health among community-dwelling older people, we did not investigate whether interventions aiming to enhance these abilities actually resulted in improvement. Further research is necessary to explore ways in which the self-management abilities and healthy aging of older people can be improved and the onset of frailty can be delayed. Examples of interventions to improve SMA are implementation of bibliotherapy and home-based training interventions [39, 40]. These interventions have shown improvements in SMA among community-dwelling older people over time (interventions versus control groups). Changes in SMA were also found to be clinically relevant .
We conclude that self-management abilities and frailty are important for healthy aging among community-dwelling older people in the Netherlands. Particularly vulnerable are the lower educated older adults. Interventions to improve self-management abilities may help older people age healthfully and prevent losses as they age further.
The research was supported by a grant provided by the Netherlands Organization for Health Research and Development (ZonMw, project number 314030201). The views expressed in the paper are those of the authors.
- World Health Organization: The Global Strategy on Diet, Physical Activity and Health. 2004, Geneva: World Health OrganizationGoogle Scholar
- Baltes PB, Baltes MM: Psychological perspectives on successful aging: the model of selective optimization with compensation. Successful Aging: Perspectives from the Behavioral Sciences. Edited by: Baltes PB, Baltes MM. 1990, Cambridge: Cambridge University Press, 1-34.View ArticleGoogle Scholar
- Clark NM, Janz NK, Becker MH, Schork MA, Wheeler J, Liang J, Dodge JA, Keteyian S, Rhoads KL, Santinga JT: Impact of self-management education on the functional health status of older adults with heart disease. Gerontologist. 1992, 32: 438-443. 10.1093/geront/32.4.438.View ArticlePubMedGoogle Scholar
- Hopman-Rock M, Westhoff MH: The effects of a health educational and exercise program for older adults with osteoarthritis for the hip or knee. J Rheumatol. 2000, 27: 1947-1954.PubMedGoogle Scholar
- Holman HR, Lorig KR: Overcoming barriers to successful aging. Self-management of osteoarthritis. West J Med. 1997, 167: 265-268.PubMedPubMed CentralGoogle Scholar
- von Faber M, Bootsma-van der Wiel A, van Exel E, Gussekloo J, Lagaay AM, van Dongen E, Knook DL, van der Geest S, Westendorp RG: Successful aging in the oldest old: who can be characterized as successfully aged?. Arch Intern Med. 2001, 161: 2694-2700. 10.1001/archinte.161.22.2694.View ArticlePubMedGoogle Scholar
- Steverink N, Lindenberg S, Slaets JPJ: How to understand and improve older people’s self-management of wellbeing. Eur J Ageing. 2005, 2: 235-244. 10.1007/s10433-005-0012-y.View ArticleGoogle Scholar
- Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, Seeman T, Tracy R, Kop WJ, Burke G, McBurnie MA, Cardiovascular Health Study Collaborative Research Group: Frailty in older adults: evidence for a phenotype. J Gerontol A Bio Sci Med Sci. 2001, 56: 146-156. 10.1093/gerona/56.3.M146.View ArticleGoogle Scholar
- Gill TM, Gahbauer EA, Allore HG, Han L: Transitions between frailty states among community-living older persons. Arch Intern Med. 2006, 166 (4): 418-423. 10.1001/archinte.166.4.418.View ArticlePubMedGoogle Scholar
- Slaets JP: Vulnerability in the elderly: frailty. Med Clin North Am. 2006, 90 (4): 593-601. 10.1016/j.mcna.2006.05.008.View ArticlePubMedGoogle Scholar
- Rockwood K, Stadnyk K, MacKnight C, McDowell I, Hebert R, Hogan DB: A brief clinical instrument to classify frailty in elderly people. Lancet. 1999, 353: 205-206. 10.1016/S0140-6736(98)04402-X.View ArticlePubMedGoogle Scholar
- Winograd CH, Gerety MB, Chung M, Goldstein MK, Dominguez F, Vallone R: Screening for frailty: criteria and predictors of outcomes. J Am Geriatr Soc. 1991, 39: 778-784.View ArticlePubMedGoogle Scholar
- Campbell AJ, Buchner DM: Unstable disability and the fluctuations of frailty. Age Ageing. 1997, 26: 315-318. 10.1093/ageing/26.4.315.View ArticlePubMedGoogle Scholar
- Winograd CH: Targeting strategies: an overview of criteria and outcomes. J Am Geriatr Soc. 1991, 39S: 25S-35S.View ArticleGoogle Scholar
- Verbrugge LM, et al: Flies without wings. Longevity and frailty. Edited by: Carey R, Robin J-M, Michel J-P. 2005, Heidelberg (Germany): Springer, 67-81.View ArticleGoogle Scholar
- Bauer JM, Sieber CC: Sarcopenia and frailty: a clinician’s controversial point of view. Exp Gerontol. 2008, 43: 674-678. 10.1016/j.exger.2008.03.007.View ArticlePubMedGoogle Scholar
- Bergman H, Beland F, Lebel P, Contandriopoulos AP, Tousignant P, Brunelle Y, Kaufman T, Leibovich E, Rodriguez R, Clarfield M: Caring for Canada’s frail elderly population: fragmentation or integration?. CMAJ. 1997, 157: 1116-1120.PubMedPubMed CentralGoogle Scholar
- Markle-Reid M, Browne G: Conceptualizations of frailty in relation to older adults. J Adv Nurs. 2003, 44 (1): 58-68. 10.1046/j.1365-2648.2003.02767.x.View ArticlePubMedGoogle Scholar
- Gobbens RJJ, van Assen MALM, Luijkx KG, Wijnen-Sponselee MT, Schols JMGA: The Tilburg Frailty Indicator: psychometric properties. J Am Med Dir Assoc. 2010, 11 (5): 344-355. 10.1016/j.jamda.2009.11.003.View ArticlePubMedGoogle Scholar
- Levers MJ, Estabrooks CA, Ross Kerr JC: Factors contributing to frailty: literature review. J Adv Nurs. 2006, 56 (3): 282-291. 10.1111/j.1365-2648.2006.04021.x.View ArticlePubMedGoogle Scholar
- Pel Littel RE, Schuurmans MJ, Emmelot Vonk MH, Verhaar HJ: Frailty: defining and measuring of a concept. J Nutr Health Aging. 2009, 13 (4): 390-394. 10.1007/s12603-009-0051-8.View ArticlePubMedGoogle Scholar
- McNallan SM, Singh M, Chamberlain AM, Kane RL, Dunlay SM, Redfield MM, Weston SA, Roger VL: Frailty and healthcare utilization among patients with heart failure in the community. JACC Heart Fail. 2013, 1 (2): 135-141. 10.1016/j.jchf.2013.01.002.View ArticlePubMedPubMed CentralGoogle Scholar
- Robinson TN, Wu DS, Stiegmann GV, Moss M: Frailty predicts increased hospital and six-month healthcare cost following colorectal surgery in older adults. Am J Surg. 2011, 202 (5): 511-514. 10.1016/j.amjsurg.2011.06.017.View ArticlePubMedPubMed CentralGoogle Scholar
- Daniels R, Metzelthin S, Van Rossum E, De Witte L, Van den Heuvel W: Interventions to prevent disability in frail community-dwelling older persons: an overview. Eur J Ageing. 2010, 7 (1): 137-155.View ArticleGoogle Scholar
- Strandberg TE, Strandberg A, Salomaa VV, Pitkälä K, Tilvis RS, Miettinen TA: The association between weight gain up to midlife, 30-year mortality, and quality of life in older men. Arch Intern Med. 2007, 167( (20): 2260-2261.Google Scholar
- Steverink N, Lindenberg S: Do good self-managers have less physical and social resource deficits and more well-being in later life?. Eur J Ageing. 2008, 5: 181-190. 10.1007/s10433-008-0089-1.View ArticleGoogle Scholar
- Schuurmans H, Steverink N, Frieswijk N, Buunk BP, Slaets JP, Lindenberg S: How to measure self-management abilities in older people by self-report? The development of the SMAS-30. Qual Life Res. 2005, 14: 2215-2228. 10.1007/s11136-005-8166-9.View ArticlePubMedGoogle Scholar
- Cramm JM, Hartgerink JM, de Vreede PL, Bakker TJ, Steyerberg EW, Mackenbach JP, Nieboer AP: The role of self-management abilities in the achievement and maintenance of well-being, prevention of depression and successful aging. Eur J Aging. 2012, 9 (4): 353-360. 10.1007/s10433-012-0237-5.View ArticleGoogle Scholar
- Cramm JM, Hartgerink JM, Steyerberg EW, Bakker TJ, Mackenbach JP, Nieboer AP: Understanding older patients’ self-management abilities: functional loss, self-management, and well-being. Qual Life Res. 2012, 22 (1): 85-92.View ArticlePubMedPubMed CentralGoogle Scholar
- Cramm JM, Strating MMH, de Vreede PL, Steverink N, Nieboer AP: Development and validation of a short version of the Self-Management Ability Scale (SMAS). Health Qual Life Out. 2012, 10: 9-10.1186/1477-7525-10-9.View ArticleGoogle Scholar
- Wen M, Browning CR, Cagney KA: Poverty, affluence, and income inequality: neighborhood economic structure and its implications for health. Soc Sci Med. 2003, 57: 843-860. 10.1016/S0277-9536(02)00457-4.View ArticlePubMedGoogle Scholar
- Idler EL, Kasl SV: Self-ratings of health: do they predict change in functional ability?. J Gerontol Soc Sci. 1995, 50: 344-353.View ArticleGoogle Scholar
- Idler EL, Benyamanini Y: Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav. 1997, 38: 21-37. 10.2307/2955359.View ArticlePubMedGoogle Scholar
- Mossey JM, Shapiro E: Self-rated health: a predictor of mortality among the elderly. Am J Pub Health. 1982, 72: 800-808. 10.2105/AJPH.72.8.800.View ArticleGoogle Scholar
- Lindsay S: How and why the motivation and skills to self-manage coronary heart disease are socially unequal. Res Sociol Health Care. 2008, 26: 17-39.View ArticleGoogle Scholar
- Lindsay S: The influence of childhood poverty on the self-management of chronic conditions in later life. Res Sociol Health Care. 2009, 27: 161-183.View ArticleGoogle Scholar
- Picavet HSJ: National health surveys by mail or home interview. Effects on response. J Epidemiol Community Health. 2001, 55: 408-413. 10.1136/jech.55.6.408.View ArticlePubMedGoogle Scholar
- Buttle F, Thomas G: Questionnaire colour and mail survey response rate. J Mark Res Soc. 1997, 39: 625-626.Google Scholar
- Frieswijk N, Steverink N, Buunk BP, Slaets JPJ: The effectiveness of a bibliotherapy in increasing the self-management ability of slightly to moderately frail older people. Patient Educ Couns. 2006, 61: 219-227. 10.1016/j.pec.2005.03.011.View ArticlePubMedGoogle Scholar
- Schuurmans H: Promoting well-being in frail elderly people: theory and intervention. GRoningen Intervention Program (GRIP). Dissertation, University of Groningen. 2004, Available at: http://opc.ub.rug.nl Google Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2318/14/28/prepub
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