Skip to main content
main-content
Top

Tip

Swipe om te navigeren naar een ander artikel

Gepubliceerd in: Quality of Life Research 8/2020

23-03-2020

Do response styles affect the predictive validity of self-rated health among Chinese older men and women?

Auteurs: Qiong Wu, Peikang Zhang

Gepubliceerd in: Quality of Life Research | Uitgave 8/2020

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Purpose

This study intended to examine whether correcting for response styles of the widely used self-rated health (SRH) question would affect its predictive validity in estimating respondents’ mortality risks.

Methods

We used data on a sample of 3319 men and 3250 women aged 60 and above from a nationally representative survey in China. Response styles were estimated with both ratings on two health anchoring vignettes and self-rated items in domains unrelated to health. Gender-stratified logistic regressions were used to estimate the effects of SRH on 4-year mortality risks. We compared the results before and after adjusting for response styles.

Results

In the unconditional model, the effects of the five-point SRH on 4-year mortality risks were significant in both older women and men, and stronger among Chinese older men based on discrete change in probabilities of mortality at means. Gender difference was observed in response styles. Men assigned lower ratings to the vignettes than women, reflecting their higher standards in defining good health. Women presented higher proportions of extreme responses and lower proportions of midpoint responses. Correcting for response styles had no effect on the predictive validity of SRH for Chinese older men, but had some positive effects for Chinese older women when no other covariates were included.

Conclusion

Adjusting for response styles contributed to a small improvement in predicting mortality risks only among Chinese older women under restricted conditions, but not men.

Met onderstaand(e) abonnement(en) heeft u direct toegang:

BSL Podotherapeut Totaal

Binnen de bundel kunt u gebruik maken van boeken, tijdschriften, e-learnings, web-tv's en uitlegvideo's. BSL Podotherapeut Totaal is overal toegankelijk; via uw PC, tablet of smartphone.

Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
1.
go back to reference Bamia, C., Orfanos, P., Juerges, H., Schöttker, B., Brenner, H., Lorbeer, R., et al. (2017). Self-rated health and all-cause and cause-specific mortality of older adults: Individual data meta-analysis of prospective cohort studies in the CHANCES Consortium. Maturitas, 103, 37–44. PubMedCrossRef Bamia, C., Orfanos, P., Juerges, H., Schöttker, B., Brenner, H., Lorbeer, R., et al. (2017). Self-rated health and all-cause and cause-specific mortality of older adults: Individual data meta-analysis of prospective cohort studies in the CHANCES Consortium. Maturitas, 103, 37–44. PubMedCrossRef
2.
go back to reference DeSalvo, K. B., Bloser, N., Reynolds, K., He, J., & Muntner, P. (2006). Mortality prediction with a single general self-rated health question. Journal of General Internal Medicine, 21(3), 267–275. PubMedPubMedCentralCrossRef DeSalvo, K. B., Bloser, N., Reynolds, K., He, J., & Muntner, P. (2006). Mortality prediction with a single general self-rated health question. Journal of General Internal Medicine, 21(3), 267–275. PubMedPubMedCentralCrossRef
3.
go back to reference Idler, E. L., & Benyamini, Y. (1997). Self-rated health and mortality: a review of twenty-seven community studies. Journal of Health and Social Behavior, 38(1), 21–37. PubMedCrossRef Idler, E. L., & Benyamini, Y. (1997). Self-rated health and mortality: a review of twenty-seven community studies. Journal of Health and Social Behavior, 38(1), 21–37. PubMedCrossRef
4.
go back to reference Assari, S. (2016). Gender differences in the predictive role of self-rated health on short-term risk of mortality among older adults. SAGE Open Medicine, 4, 2050312116666975. PubMedPubMedCentralCrossRef Assari, S. (2016). Gender differences in the predictive role of self-rated health on short-term risk of mortality among older adults. SAGE Open Medicine, 4, 2050312116666975. PubMedPubMedCentralCrossRef
5.
go back to reference Stenholm, S., Kivimäki, M., Jylhä, M., Kawachi, I., Westerlund, H., Pentti, J., et al. (2016). Trajectories of self-rated health in the last 15 years of life by cause of death. European Journal of Epidemiology, 31(2), 177–185. PubMedCrossRef Stenholm, S., Kivimäki, M., Jylhä, M., Kawachi, I., Westerlund, H., Pentti, J., et al. (2016). Trajectories of self-rated health in the last 15 years of life by cause of death. European Journal of Epidemiology, 31(2), 177–185. PubMedCrossRef
6.
go back to reference Benyamini, Y. (2011). Why does self-rated health predict mortality? An update on current knowledge and a research agenda for psychologists. Psychology & Health, 26(11), 1407–1413. CrossRef Benyamini, Y. (2011). Why does self-rated health predict mortality? An update on current knowledge and a research agenda for psychologists. Psychology & Health, 26(11), 1407–1413. CrossRef
7.
go back to reference Bopp, M., Braun, J., Gutzwiller, F., Faeh, D., & Swiss National Cohort Study Group. (2012). Health risk or resource? Gradual and independent association between self-rated health and mortality persists over 30 years. PLoS ONE, 7(2), e30795. PubMedPubMedCentralCrossRef Bopp, M., Braun, J., Gutzwiller, F., Faeh, D., & Swiss National Cohort Study Group. (2012). Health risk or resource? Gradual and independent association between self-rated health and mortality persists over 30 years. PLoS ONE, 7(2), e30795. PubMedPubMedCentralCrossRef
8.
go back to reference Hu, Y.-N., Chen, P.-C., Hsu, C.-C., Yu, H.-K., Chien, K.-L., Li, C.-C., et al. (2016). Age and gender differences in the relationship between self-rated health and mortality among middle-aged and elderly people in Taiwan—Results of a national cohort study. International Journal of Gerontology, 10(2), 91–95. CrossRef Hu, Y.-N., Chen, P.-C., Hsu, C.-C., Yu, H.-K., Chien, K.-L., Li, C.-C., et al. (2016). Age and gender differences in the relationship between self-rated health and mortality among middle-aged and elderly people in Taiwan—Results of a national cohort study. International Journal of Gerontology, 10(2), 91–95. CrossRef
9.
go back to reference Moreno, X., Albala, C., Lera, L., Sánchez, H., Fuentes-García, A., & Dangour, A. D. (2017). The role of gender in the association between self-rated health and mortality among older adults in Santiago, Chile: A cohort study. PLoS ONE, 12(7), e0181317. PubMedPubMedCentralCrossRef Moreno, X., Albala, C., Lera, L., Sánchez, H., Fuentes-García, A., & Dangour, A. D. (2017). The role of gender in the association between self-rated health and mortality among older adults in Santiago, Chile: A cohort study. PLoS ONE, 12(7), e0181317. PubMedPubMedCentralCrossRef
10.
go back to reference Benyamini, Y., Blumstein, T., Lusky, A., & Modan, B. (2003). Gender differences in the self-rated health-mortality association: Is it poor self-rated health that predicts mortality or excellent self-rated health that predicts survival? Gerontologist, 43(3), 396–405. PubMedCrossRef Benyamini, Y., Blumstein, T., Lusky, A., & Modan, B. (2003). Gender differences in the self-rated health-mortality association: Is it poor self-rated health that predicts mortality or excellent self-rated health that predicts survival? Gerontologist, 43(3), 396–405. PubMedCrossRef
11.
go back to reference Jürges, H. (2007). True health vs response styles: Exploring cross-country differences in self-reported health. Health Economics, 16(2), 163–178. PubMedCrossRef Jürges, H. (2007). True health vs response styles: Exploring cross-country differences in self-reported health. Health Economics, 16(2), 163–178. PubMedCrossRef
12.
go back to reference Paulhus, D. L. Measurement and control of response bias (1991). Paulhus, D. L. Measurement and control of response bias (1991).
13.
go back to reference Wetzel, E., Lüdtke, O., Zettler, I., & Böhnke, J. R. (2016). The stability of extreme response style and acquiescence over 8 years. Assessment, 23(3), 279–291. PubMedCrossRef Wetzel, E., Lüdtke, O., Zettler, I., & Böhnke, J. R. (2016). The stability of extreme response style and acquiescence over 8 years. Assessment, 23(3), 279–291. PubMedCrossRef
14.
go back to reference King, G., & Wand, J. (2007). Comparing incomparable survey responses: Evaluating and selecting anchoring vignettes. Political Analysis, 15(1), 46–66. CrossRef King, G., & Wand, J. (2007). Comparing incomparable survey responses: Evaluating and selecting anchoring vignettes. Political Analysis, 15(1), 46–66. CrossRef
15.
go back to reference Schneider, S. (2016). Extracting response style bias from measures of positive and negative affect in aging research. The Journals of Gerontology: Series B, 73(1), 64–74. Schneider, S. (2016). Extracting response style bias from measures of positive and negative affect in aging research. The Journals of Gerontology: Series B, 73(1), 64–74.
16.
go back to reference Bolt, D. M., & Newton, J. R. (2011). Multiscale measurement of extreme response style. Educational and Psychological Measurement, 71(5), 814–833. CrossRef Bolt, D. M., & Newton, J. R. (2011). Multiscale measurement of extreme response style. Educational and Psychological Measurement, 71(5), 814–833. CrossRef
17.
go back to reference Datta Gupta, N., Kristensen, N., & Pozzoli, D. (2010). External validation of the use of vignettes in cross-country health studies. Economic Modelling, 27(4), 854–865. CrossRef Datta Gupta, N., Kristensen, N., & Pozzoli, D. (2010). External validation of the use of vignettes in cross-country health studies. Economic Modelling, 27(4), 854–865. CrossRef
18.
go back to reference Wu, Q. (2016). Subjective cognitive impairment of older adults: A comparison between the US and China. International Journal of Methods in Psychiatric Research, 25(1), 68–75. PubMedPubMedCentralCrossRef Wu, Q. (2016). Subjective cognitive impairment of older adults: A comparison between the US and China. International Journal of Methods in Psychiatric Research, 25(1), 68–75. PubMedPubMedCentralCrossRef
19.
go back to reference Hanandita, W., & Tampubolon, G. (2016). Does reporting behaviour bias the measurement of social inequalities in self-rated health in Indonesia? An anchoring vignette analysis. Quality Life Research, 25(5), 1137–1149. CrossRef Hanandita, W., & Tampubolon, G. (2016). Does reporting behaviour bias the measurement of social inequalities in self-rated health in Indonesia? An anchoring vignette analysis. Quality Life Research, 25(5), 1137–1149. CrossRef
20.
go back to reference Weijters, B., Cabooter, E., & Schillewaert, N. (2010). The effect of rating scale format on response styles: The number of response categories and response category labels. International Journal of Research in Marketing, 27(3), 236–247. CrossRef Weijters, B., Cabooter, E., & Schillewaert, N. (2010). The effect of rating scale format on response styles: The number of response categories and response category labels. International Journal of Research in Marketing, 27(3), 236–247. CrossRef
21.
go back to reference Kieruj, N. D., & Moors, G. (2013). Response style behavior: Question format dependent or personal style? Quality & Quantity, 47(1), 193–211. CrossRef Kieruj, N. D., & Moors, G. (2013). Response style behavior: Question format dependent or personal style? Quality & Quantity, 47(1), 193–211. CrossRef
22.
go back to reference Wetzel, E., Carstensen, C. H., & Böhnke, J. R. (2013). Consistency of extreme response style and non-extreme response style across traits. Journal of Research in Personality, 47(2), 178–189. CrossRef Wetzel, E., Carstensen, C. H., & Böhnke, J. R. (2013). Consistency of extreme response style and non-extreme response style across traits. Journal of Research in Personality, 47(2), 178–189. CrossRef
23.
go back to reference Bolt, D. M., Lu, Y., & Kim, J.-S. (2014). Measurement and control of response styles using anchoring vignettes: A model-based approach. Psychological Methods, 19(4), 528–541. PubMedCrossRef Bolt, D. M., Lu, Y., & Kim, J.-S. (2014). Measurement and control of response styles using anchoring vignettes: A model-based approach. Psychological Methods, 19(4), 528–541. PubMedCrossRef
24.
go back to reference King, G., Murray, C. J. L., Salomon, J. A., & Tandon, A. (2004). Enhancing the validity and cross-cultural comparability of measurement in survey research. American Political Science Review, 98(1), 191–207. CrossRef King, G., Murray, C. J. L., Salomon, J. A., & Tandon, A. (2004). Enhancing the validity and cross-cultural comparability of measurement in survey research. American Political Science Review, 98(1), 191–207. CrossRef
25.
go back to reference Chevalier, A., & Fielding, A. (2011). An introduction to anchoring vignettes. Journal of the Royal Statistical Society, 174, 569–574. CrossRef Chevalier, A., & Fielding, A. (2011). An introduction to anchoring vignettes. Journal of the Royal Statistical Society, 174, 569–574. CrossRef
26.
go back to reference Peracchi, F., & Rossetti, C. (2012). Heterogeneity in health responses and anchoring vignettes. Empir Econ, 42(2), 513–538. CrossRef Peracchi, F., & Rossetti, C. (2012). Heterogeneity in health responses and anchoring vignettes. Empir Econ, 42(2), 513–538. CrossRef
27.
go back to reference Jonas, K. G., & Markon, K. E. (2019). Modeling response style using vignettes and person-specific item response theory. Applied Psychological Measurement, 43(1), 3–17. PubMedCrossRef Jonas, K. G., & Markon, K. E. (2019). Modeling response style using vignettes and person-specific item response theory. Applied Psychological Measurement, 43(1), 3–17. PubMedCrossRef
28.
go back to reference He, J., & van de Vijver, F. J. R. (2013). A general response style factor: Evidence from a multi-ethnic study in the Netherlands. Personality and Individual Differences, 55(7), 794–800. CrossRef He, J., & van de Vijver, F. J. R. (2013). A general response style factor: Evidence from a multi-ethnic study in the Netherlands. Personality and Individual Differences, 55(7), 794–800. CrossRef
29.
go back to reference Institute of Social Science Survey, P. U. (2019). China Family Panel Studies (CFPS). Peking University Open Research Data Platform, City. Institute of Social Science Survey, P. U. (2019). China Family Panel Studies (CFPS). Peking University Open Research Data Platform, City.
30.
go back to reference Xie, Y., Zhang, X., Tu, P., Ren, Q., Sun, Y., Lv, P., Ding, H., Hu, J. and Wu, Q. China Family Panel Studies: User's Manual. 2017. Xie, Y., Zhang, X., Tu, P., Ren, Q., Sun, Y., Lv, P., Ding, H., Hu, J. and Wu, Q. China Family Panel Studies: User's Manual. 2017.
32.
go back to reference Cheng, S.-T., & Chan, A. C. M. (2005). The Center for Epidemiologic Studies Depression Scale in older Chinese: Thresholds for long and short forms. International Journal of Geriatric Psychiatry, 20(5), 465–470. PubMedCrossRef Cheng, S.-T., & Chan, A. C. M. (2005). The Center for Epidemiologic Studies Depression Scale in older Chinese: Thresholds for long and short forms. International Journal of Geriatric Psychiatry, 20(5), 465–470. PubMedCrossRef
33.
go back to reference Tang, Z., Wang, H.-X., Meng, C., Wu, X.-G., Ericsson, K., Winblad, B., et al. (1999). The prevalence of functional disability in activities of daily living and instrumental activities of daily living among elderly Beijing Chinese. Archives of Gerontology and Geriatrics, 29(2), 115–125. PubMedCrossRef Tang, Z., Wang, H.-X., Meng, C., Wu, X.-G., Ericsson, K., Winblad, B., et al. (1999). The prevalence of functional disability in activities of daily living and instrumental activities of daily living among elderly Beijing Chinese. Archives of Gerontology and Geriatrics, 29(2), 115–125. PubMedCrossRef
34.
go back to reference Wand, J., King, G., & Lau, O. (2011). Anchors: Software for anchoing vignette data. Journal of Statistical Software, 42, 3. CrossRef Wand, J., King, G., & Lau, O. (2011). Anchors: Software for anchoing vignette data. Journal of Statistical Software, 42, 3. CrossRef
35.
go back to reference Mood, C. (2010). Logistic regression: Why we cannot do what we think we can do, and what we can do about it. European Sociological Review, 26(1), 67–82. CrossRef Mood, C. (2010). Logistic regression: Why we cannot do what we think we can do, and what we can do about it. European Sociological Review, 26(1), 67–82. CrossRef
37.
go back to reference Weuve, J., Tchetgen Tchetgen, E. J., Glymour, M. M., Beck, T. L., Aggarwal, N. T., Wilson, R. S., et al. (2012). Accounting for bias due to selective attrition: The example of smoking and cognitive decline. Epidemiology (Cambridge, Mass.), 23(1), 119–128. CrossRef Weuve, J., Tchetgen Tchetgen, E. J., Glymour, M. M., Beck, T. L., Aggarwal, N. T., Wilson, R. S., et al. (2012). Accounting for bias due to selective attrition: The example of smoking and cognitive decline. Epidemiology (Cambridge, Mass.), 23(1), 119–128. CrossRef
38.
go back to reference He, J., Van de Vijver, F. J. R., Espinosa, A. D., & Mui, P. H. C. (2014). Toward a unification of acquiescent, extreme, and midpoint response styles: A multilevel study. International Journal of Cross Cultural Management, 14(3), 306–322. CrossRef He, J., Van de Vijver, F. J. R., Espinosa, A. D., & Mui, P. H. C. (2014). Toward a unification of acquiescent, extreme, and midpoint response styles: A multilevel study. International Journal of Cross Cultural Management, 14(3), 306–322. CrossRef
39.
go back to reference Hibbing, M. V., Cawvey, M., Deol, R., Bloeser, A. J., & Mondak, J. J. (2019). The relationship between personality and response patterns on public opinion surveys: The big five, extreme response style, and acquiescence response style. International Journal of Public Opinion Research, 31(1), 161–177. CrossRef Hibbing, M. V., Cawvey, M., Deol, R., Bloeser, A. J., & Mondak, J. J. (2019). The relationship between personality and response patterns on public opinion surveys: The big five, extreme response style, and acquiescence response style. International Journal of Public Opinion Research, 31(1), 161–177. CrossRef
40.
go back to reference Jokela, M., Batty, G. D., Nyberg, S. T., Virtanen, M., Nabi, H., Singh-Manoux, A., et al. (2013). Personality and all-cause mortality: individual-participant meta-analysis of 3,947 deaths in 76,150 adults. American Journal of Epidemiology, 178(5), 667–675. PubMedPubMedCentralCrossRef Jokela, M., Batty, G. D., Nyberg, S. T., Virtanen, M., Nabi, H., Singh-Manoux, A., et al. (2013). Personality and all-cause mortality: individual-participant meta-analysis of 3,947 deaths in 76,150 adults. American Journal of Epidemiology, 178(5), 667–675. PubMedPubMedCentralCrossRef
41.
go back to reference Hopkins, D. J., & King, G. (2010). Improving anchoring vignettes: designing surveys to correct interpersonal incomparability. Public Opinion Quarterly, 74(2), 201–222. CrossRef Hopkins, D. J., & King, G. (2010). Improving anchoring vignettes: designing surveys to correct interpersonal incomparability. Public Opinion Quarterly, 74(2), 201–222. CrossRef
42.
go back to reference Singh-Manoux, A., Martikainen, P., Ferrie, J., Zins, M., Marmot, M., & Goldberg, M. (2006). What does self rated health measure? Results from the British Whitehall II and French Gazel cohort studies. Journal of Epidemiology and Community Health, 60(4), 364–372. PubMedPubMedCentralCrossRef Singh-Manoux, A., Martikainen, P., Ferrie, J., Zins, M., Marmot, M., & Goldberg, M. (2006). What does self rated health measure? Results from the British Whitehall II and French Gazel cohort studies. Journal of Epidemiology and Community Health, 60(4), 364–372. PubMedPubMedCentralCrossRef
Metagegevens
Titel
Do response styles affect the predictive validity of self-rated health among Chinese older men and women?
Auteurs
Qiong Wu
Peikang Zhang
Publicatiedatum
23-03-2020
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 8/2020
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-020-02484-8