Biological health or lived health: which predicts self-reported general health better?

BMC Public Health

Alarcos Cieza²  Jerome Bickenbach¹  Gerold Stucki¹  Cornelia Oberhauser³  Cristina Bostan¹ 

[1] Swiss Paraplegic Research, Nottwil, Switzerland;Faculty of Social and Human Sciences, School of Psychology, University of Southampton, Southampton, UK;Department of Medical Informatics, Biometry and Epidemiology – IBE, Public Health and Health Services Research, Research Unit for Biopsychosocial Health, Ludwig-Maximilians-University (LMU), Munich, Germany

关键词: Spain;    Random Forest;    Graded Response Model;    Lived health;    Biological health;    Self-reported general health;   

Others  :  1132507
DOI  :  10.1186/1471-2458-14-189

 received in 2013-08-13, accepted in 2014-02-13,  发布年份 2014

【 摘 要 】

Background

Lived health is a person’s level of functioning in his or her current environment and depends both on the person’s environment and biological health. Our study addresses the question whether biological health or lived health is more predictive of self-reported general health (SRGH).

Methods

This is a psychometric study using cross-sectional data from the Spanish Survey on Disability, Independence and Dependency Situation. Data was collected from 17,739 people in the community and 9,707 from an institutionalized population. The following analysis steps were performed: (1) a biological health and a lived health score were calculated for each person by constructing a biological health scale and a lived health scale using Samejima’s Graded Response Model; and (2) variable importance measures were calculated for each study population using Random Forest, with SRGH as the dependent variable and the biological health and the lived health scores as independent variables.

Results

The levels of biological health were higher for the community-dwelling population than for the institutionalized population. When technical assistance, personal assistance or both were received, the difference in lived health between the community-dwelling population and institutionalized population was smaller. According to Random Forest’s variable importance measures, for both study populations, lived health is a more important predictor of SRGH than biological health.

Conclusions

In general, people base their evaluation of their own health on their lived health experience rather than their experience of biological health. This study also sheds light on the challenges of assessing biological health and lived health at the general population level.

【 授权许可】

   
2014 Bostan et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

Figure 2.

【 参考文献 】

• [1]Mantzavinis GD, Pappas N, Dimoliatis ID, Ioannidis JP: Multivariate models of self-reported health often neglected essential candidate determinants and methodological issues. J Clin Epidemiol 2005, 58:436-443.
• [2]Ware JE Jr, Sherbourne CD: The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 1992, 30:473-483.
• [3]Aaronson NK, Bullinger M, Ahmedzai S: A modular approach to quality-of-life assessment in cancer clinical trials. Recent Results Cancer Res 1988, 111:231-249.
• [4]Idler EL, Benyamini Y: Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav 1997, 38:21-37.
• [5]Benjamini Y, Idler EL: Community studies reporting associations between self-rated health and mortality - additional studies, 1995 to 1998. Res Aging 1999, 21:392-401.
• [6]Hillen T, Schaub R, Hiestermann A, Kirschner W, Robra BP: Self rating of health is associated with stressful life events, social support and residency in East and West Berlin shortly after the fall of the wall. J Epidemiol Community Health 2000, 54:575-580.
• [7]Mulsant BH, Ganguli M, Seaberg EC: The relationship between self-rated health and depressive symptoms in an epidemiological sample of community-dwelling older adults. J Am Geriatr Soc 1997, 45:954-958.
• [8]Dominick KL, Ahern FM, Gold CH, Heller DA: Relationship of health-related quality of life to health care utilization and mortality among older adults. Aging Clin Exp Res 2002, 14:499-508.
• [9]Idler EL, Kasl S: Health perceptions and survival: do global evaluations of health status really predict mortality? J Gerontol 1991, 46:S55-S65.
• [10]Kennedy BS, Kasl SV, Vaccarino V: Repeated hospitalizations and self-rated health among the elderly: a multivariate failure time analysis. Am J Epidemiol 2001, 153:232-241.
• [11]Perruccio AV, Power JD, Badley EM: Arthritis onset and worsening self-rated health: a longitudinal evaluation of the role of pain and activity limitations. Arthritis Rheum 2005, 53:571-577.
• [12]Gilmour H: Social participation and the health and well-being of Canadian seniors. Health Rep 2012, 23:23-32.
• [13]von dem Knesebeck O, Geyer S: Emotional support, education and self-rated health in 22 European countries. BMC Public Health 2007, 7:272. BioMed Central Full Text
• [14]Salomon JA, Nordhagen S, Oza S, Murray CJ: Are Americans feeling less healthy? The puzzle of trends in self-rated health. Am J Epidemiol 2009, 170:343-351.
• [15]Simon JG, De Boer JB, Joung IM, Bosma H, Mackenbach JP: How is your health in general? A qualitative study on self-assessed health. Eur J Public Health 2005, 15:200-208.
• [16]Manderbacka K: Examining what self-rated health question is understood to mean by respondents. Scand J Soc Med 1998, 26:145-153.
• [17]World Health Organization: International Classification of Functioning, Disability and Health: ICF. Geneva: WHO; 2001.
• [18]Maierhofer S, Almazan-Isla J, Alcalde-Cabero E, de Pedro-Cuesta J: Prevalence and features of ICF-disability in Spain as captured by the 2008 National Disability Survey. BMC Public Health 2011, 11:897. BioMed Central Full Text
• [19]Reise SP, Morizot J, Hays RD: The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Qual Life Res 2007, 16(Suppl 1):19-31.
• [20]Jennrich RI, Bentler PM: Exploratory Bi-factor analysis. Psychometrika 2011, 76:537-549.
• [21]Reeve BB, Fayers P: Applying item response theory modeling for evaluating questionnaire item and scale properties. In Assessing Quality of Life in Clinical Trials: Methods of Practice. 2nd edition. New York: Oxford University Press; 2005:55-73.
• [22]Pallant JF, Tennant A: An introduction to the Rasch measurement model: an example using the Hospital Anxiety and Depression Scale (HADS). Br J Clin Psychol 2007, 46:1-18.
• [23]Reeve BB, Hays RD, Bjorner JB, Cook KF, Crane PK, Teresi JA, Thissen D, Revicki DA, Weiss DJ, Hambleton RK, Liu H, Gershon R, Reise SP, Lai JS, Cella D, PROMIS Cooperative Group: Psychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Med Care 2007, 45(Suppl 1):S22-S31.
• [24]Samejima F: Estimation of latent ability using a response pattern of graded scores. Psychometrika Monogr Suppl 1969, 17-334.
• [25]Choi SW, Gibbons LE, Crane PK: Lordif: an R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations. J Stat Softw 2011, 39:1-30.
• [26]Camilli G, Shepard LA: Methods for Identifying Biased Test Items. Thousand Oaks, CA: SAGE Publications; 1994.
• [27]Strobl C, Boulesteix AL, Kneib T, Augustin T, Zeileis A: Conditional variable importance for random forests. BMC Bioinforma 2008, 9:307. BioMed Central Full Text
• [28]R Development Core Team: R: a language and environment for statistical computing. [http://www.R-project.org webcite]
• [29]Smith AM, Shelley JM, Dennerstein L: Self-rated health: biological continuum or social discontinuity? Soc Sci Med 1994, 39:77-83.
• [30]Jylhä M: What is self-rated health and why does it predict mortality? Towards a unified conceptual model. Soc Sci Med 2009, 69:307-316.
• [31]Keller SD, Ware JE Jr, Bentler PM, Aaronson NK, Alonso J, Apolone G, Bjorner JB, Brazier J, Bullinger M, Kaasa S, Leplège A, Sullivan M, Gandek B: Use of structural equation modeling to test the construct validity of the SF-36 Health Survey in ten countries: results from the IQOLA Project. International Quality of Life Assessment. J Clin Epidemiol 1998, 51:1179-1188.
• [32]Hambleton RK, Swaminathan H, Rogers HJ: Fundamentals of item response theory. Newbury Park, CA: Sage; 1991.
• [33]Prieto-Flores ME, Fernandez-Mayoralas G, Rojo-Perez F, Lardiés-Bosque R, Rodríguez-Rodríguez V, Ahmed-Mohamed K, Rojo-Abuín JM: Factores sociodemográficos y de salud en el bienestar emocional como dominio de calidad de vida de las personas mayores en la Comunidad de Madrid. 2005 (Sociodemographic and health factors explaining emotional wellbeing as a quality of life domain of older people in Madrid, Spain. 2005). Rev Esp Salud Publica 2008, 82:301-313.
• [34]Fylkesnes K, Førde OH: The Tromsø study: predictors of self-evaluated health–has society adopted the expanded health concept? Soc Sci Med 1991, 32:141-146.