Association of experienced and evaluative well-being with health in nine countries with different income levels: a cross-sectional study

Marta Miret, Francisco Félix Caballero, Beatriz Olaya, Seppo Koskinen, Nirmala Naidoo, Beata Tobiasz-Adamczyk, Matilde Leonardi, Josep Maria Haro, Somnath Chatterji, José Luis Ayuso-Mateos, Marta Miret, Francisco Félix Caballero, Beatriz Olaya, Seppo Koskinen, Nirmala Naidoo, Beata Tobiasz-Adamczyk, Matilde Leonardi, Josep Maria Haro, Somnath Chatterji, José Luis Ayuso-Mateos

Abstract

Background: It is important to know whether the relationships between experienced and evaluative well-being and health are consistent across countries with different income levels. This would allow to confirm whether the evidence found in high income countries is the same as in low- and middle-income countries and to suggest policy recommendations that are generalisable across countries. We assessed the association of well-being with health status; analysed the differential relationship that positive affect, negative affect, and evaluative well-being have with health status; and examined whether these relationships are similar across countries.

Methods: In this cross-sectional study, interviews were conducted amongst 53,269 adults from nine countries in Africa, Asia, Europe, and Latin America. Evaluative well-being was measured with a short version of the World Health Organization (WHO) Quality of Life instrument, and experienced well-being was measured with the Day Reconstruction Method. Decrements in health were assessed with the 12-item version of WHO Disability Assessment Schedule 2.0. Block-wise linear regression and structural equation models were employed.

Results: Considering the overall sample, evaluative well-being was more strongly associated with health (β = -0.35) than experienced well-being (β = -0.14), and negative affect was more strongly associated with health (β = 0.10) than positive affect (β = -0.02). The relationship between health and well-being was similar across countries. Lower scores in evaluative well-being and a higher age were the factors more strongly related with a worse health.

Conclusions: The different patterns observed across countries may be related to differences in the countries' gross domestic product, social protection system, economic situation, health care provision, lifestyle behaviours, or living conditions. The fact that evaluative well-being is more predictive of health than experienced well-being suggests that our level of satisfaction with our lives might be more important for our health than the actual emotions than we experience in our day-to-day lives and points out the need of interventions that improve the way people evaluate their lives.

Keywords: Evaluative well-being; Experienced well-being; Health status.

Conflict of interest statement

Ethics approval and consent to participate

Ethical approvals from the following institutions were obtained: Ethics Review Committee, World Health Organization; Ethics Review Committee, Parc Sanitari Sant Joan de Déu, Barcelona, Spain; Ethics Review Committee, La Princesa University Hospital, Madrid, Spain; Bioethical Committee, Jagiellonian University, Krakow, Poland; Ethics Review Committee, National Public Health Institute, Helsinki, Finland; Ethical Committee, Ghana Medical School, Accra, Ghana; Ethics Committee, School of Preventive and Social Medicine, Russian Academy of Medical Sciences, Moscow, Russia; Ethics Committee, Shanghai Municipal Centre for Disease Control and Prevention, Shanghai, China; Institutional Review Board, International Institute of Population Sciences, Mumbai, India; Research Ethics Committee, Human Sciences Research Council, Pretoria, South Africa; and Ethics Committee, National Institute of Public Health, Cuernavaca, Mexico. Written informed consent from each participant was also obtained.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests. The views expressed in this paper are those of the authors and do not necessarily represent the views or policies of the World Health Organization.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
SEM estimates of the association of experienced and evaluative well-being with WHODAS score. Weighted data β=Standardised coefficients; all the coefficients had associated p < 0.001. Analyses were controlled by country

References

    1. Organization WH . Mental health action plan 2013–2020. Geneva: World Health Organization; 2013.
    1. A new global partnership: eradicate poverty and transform economies through sustainable development. New York: United Nations; 2013.
    1. Kapteyn A, Lee J, Tassot C, Vonkova H, Zamarro G. Dimensions of subjective well-being. Soc Indic Res. 2015;123(3):625–660. doi: 10.1007/s11205-014-0753-0.
    1. Miret M, Caballero FF, Chatterji S, Olaya B, Tobiasz-Adamczyk B, Koskinen S, et al. Health and happiness: cross-sectional household surveys in Finland, Poland and Spain. Bull World Health Organ. 2014;92(10):716–725. doi: 10.2471/BLT.13.129254.
    1. Ryan RM, Deci EL. On happiness and human potentials: a review of research on hedonic and eudaimonic well-being. Annu Rev Psychol. 2001;52:141–166. doi: 10.1146/annurev.psych.52.1.141.
    1. Steptoe A, Deaton A, Stone AA. Subjective wellbeing, health, and ageing. Lancet. 2015;385(9968):640–648. doi: 10.1016/S0140-6736(13)61489-0.
    1. Lyubomirsky S, King L, Diener E. The benefits of frequent positive affect: does happiness lead to success? Psychol Bull. 2005;131(6):803–855. doi: 10.1037/0033-2909.131.6.803.
    1. Krueger AB, Stone AA. Assessment of pain: a community-based diary survey in the USA. Lancet. 2008;371(9623):1519–1525. doi: 10.1016/S0140-6736(08)60656-X.
    1. Al-Windi A. The relations between symptoms, somatic and psychiatric conditions, life satisfaction and perceived health. A primary care based study Health and quality of life outcomes. 2005;3:28. doi: 10.1186/1477-7525-3-28.
    1. Diener E, Chan MY. Happy people live longer: subjective well-being contributes to health and longevity. Applied psychology: health and well-being. 2011;3(1):1–43.
    1. Steptoe A, de Oliveira C, Demakakos P, Zaninotto P. Enjoyment of life and declining physical function at older ages: a longitudinal cohort study. Can Med Assoc J. 2014;186(4):E150–E156. doi: 10.1503/cmaj.131155.
    1. Chida Y, Steptoe A. Positive psychological well-being and mortality: a quantitative review of prospective observational studies. Psychosom Med. 2008;70(7):741–756. doi: 10.1097/PSY.0b013e31818105ba.
    1. Martin-Maria N, Miret M, Caballero FF, Rico-Uribe LA, Steptoe A, Chatterji S, et al. The impact of subjective well-being on mortality: a meta-analysis of longitudinal studies in the general population. Psychosom Med. 2017;79(5):565–575. doi:10.1097/PSY.0000000000000444.
    1. Steptoe A, Wardle J. Positive affect measured using ecological momentary assessment and survival in older men and women. Proc Natl Acad Sci U S A. 2011;108(45):18244–18248. doi: 10.1073/pnas.1110892108.
    1. Martín-María N, Caballero FF, Olaya B, Rodríguez-Artalejo F, Haro JM, Miret M, et al. Positive affect is inversely associated with mortality in individuals without depression. Front Psychol. 2016;7(1040) doi:10.3389/fpsyg.2016.01040.
    1. Nabi H, Kivimaki M, De Vogli R, Marmot MG, Singh-Manoux A. Positive and negative affect and risk of coronary heart disease: Whitehall II prospective cohort study. BMJ. 2008;337:a118. doi: 10.1136/bmj.a118.
    1. Gana K, Saada Y, Broc G, Quintard B, Amieva H, Dartigues JF. As long as you've got your health: longitudinal relationships between positive affect and functional health in old age. Soc Sci Med. 2016;150:231–238. doi: 10.1016/j.socscimed.2015.11.038.
    1. Saxena S, Paraje G, Sharan P, Karam G, Sadana R. The 10/90 divide in mental health research: trends over a 10-year period. Br J Psychiatry. 2006;188:81–82. doi: 10.1192/bjp.bp.105.011221.
    1. Kowal P, Chatterji S, Naidoo N, Biritwum R, Fan W, Lopez Ridaura R, et al. Data resource profile: the World Health Organization study on global AGEing and adult health (SAGE) Int J Epidemiol. 2012;41(6):1639–1649. doi: 10.1093/ije/dys210.
    1. Leonardi M, Chatterji S, Koskinen S, Ayuso-Mateos JL, Haro JM, Frisoni G, et al. Determinants of health and disability in ageing population: the COURAGE in Europe project (collaborative research on ageing in Europe). Clin Psychol Psychother. 2013; doi:10.1002/cpp.1856.
    1. Ayuso-Mateos JL, Miret M, Caballero FF, Olaya B, Haro JM, Kowal P, et al. Multi-country evaluation of affective experience: validation of an abbreviated version of the day reconstruction method in seven countries. PLoS One. 2013;8(4):e61534. doi: 10.1371/journal.pone.0061534.
    1. Kamenov K, Caballero FF, Miret M, Leonardi M, Sainio P, Tobiasz-Adamczyk B, et al. Which Are the Most Burdensome Functioning Areas in Depression? A Cross-National Study. Front Psychol. 2016;7(1342) doi:10.3389/fpsyg.2016.01342.
    1. Koyanagi A, Stickley A, Garin N, Miret M, Ayuso-Mateos JL, Leonardi M, et al. The association between obesity and back pain in nine countries: a cross-sectional study. BMC public health. 2015;15(123) doi:10.1186/s12889-015-1362-9.
    1. World Bank. 2015. . Accessed May 13, 2015.
    1. Üstün T, Chatterji S, Mechbal A, Murray C. Groups. WC. Quality Assurance in Surveys: standards, guidelines and procedures. In: Department of Economic and Social Affairs Statistics Division of the United Nations, editor. Household sample surveys in developing and transition countries. New York: United Nations; 2005.
    1. Üstün TB, Kostanjsek N, Chatterji S, Rehm J. Measuring health and disability: manual for WHO disability assessment schedule (WHODAS 2.0) Geneva, Switzerland: World Health Organization; 2010.
    1. Rehm J, Üstün TB, Saxena S, Nelson CB, Chatterji S, Ivis F, et al. On the development and psychometric testing of the WHO screening instrument to assess disablement in the general population. Int J Methods Psychiatr Res. 1999;8(2):110–122. doi: 10.1002/mpr.61.
    1. Luciano JV, Ayuso-Mateos JL, Aguado J, Fernández A, Serrano-Blanco A, Roca M, et al. The 12-item World Health Organization Disability Assessment Schedule II (WHO-DAS II): a nonparametric item response analysis. BMC Med Res Methodol. 2010;10(45) doi:10.1186/1471-2288-10-45.
    1. Mellor-Marsá B, Miret M, Abad FJ, Chatterji S, Olaya B, Tobiasz-Adamczyk B, et al. Measurement invariance of the day reconstruction method: results from the COURAGE in Europe project. J Happiness Stud. 2016;17(5):1769–1787. doi: 10.1007/s10902-015-9669-x.
    1. Caballero FF, Miret M, Olaya B, Perales J, López-Ridaura R, Haro JM, et al. Evaluation of affect in Mexico and Spain: psychometric properties and usefulness of an abbreviated version of the day reconstruction method. J Happiness Stud. 2014;15(4):915–935. doi: 10.1007/s10902-013-9456-5.
    1. Miret M, Caballero FF, Mathur A, Naidoo N, Kowal P, Ayuso-Mateos JL, et al. Validation of a measure of subjective well-being: an abbreviated version of the day reconstruction method. PLoS One. 2012;7(8):e43887. doi: 10.1371/journal.pone.0043887.
    1. Schmidt S, Muhlan H, Power M. The EUROHIS-QOL 8-item index: psychometric results of a cross-cultural field study. Eur J Pub Health. 2006;16(4):420–428. doi: 10.1093/eurpub/cki155.
    1. World Health Organization. Process of translation and adaptation of instruments. . Accessed 13 May 2015.
    1. Moussavi S, Chatterji S, Verdes E, Tandon A, Patel V, Ustun B. Depression, chronic diseases, and decrements in health: results from the world health surveys. Lancet. 2007;370(9590):851–858. doi: 10.1016/S0140-6736(07)61415-9.
    1. Wolter K. Introduction to variance estimation. New York: Springer-Verlag; 1985.
    1. Yuan K-H, Bentler PM. Asymptotic robustness of standard errors in multilevel structural equation models. J Multivar Anal. 2006;97:1121–1141. doi: 10.1016/j.jmva.2005.06.003.
    1. Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model Multidiscip J. 1999;6(1):1–55. doi: 10.1080/10705519909540118.
    1. Steiger JH. Understanding the limitations of global fit assessment in structural equation modelling. Personal Individ Differ. 2007;42(5):893–898. doi: 10.1016/j.paid.2006.09.017.
    1. Helliwell JF, Layard R, Sachs J, editors. World happiness report 2015. New York: Sustainable Development Solutions Network; 2015.
    1. Diener E, Ng W, Harter J, Arora R. Wealth and happiness across the world: material prosperity predicts life evaluation, whereas psychosocial prosperity predicts positive feeling. J Pers Soc Psychol. 2010;99(1):52–61. doi: 10.1037/a0018066.
    1. Subramanian SV, Huijts T, Avendano M. Self-reported health assessments in the 2002 world health survey: how do they correlate with education? Bull World Health Organ. 2010;88(2):131–138. doi: 10.2471/BLT.09.067058.
    1. Dua JK. Comparative predictive value of attributional style, negative affect, and positive affect in predicting self-reported physical health and psychological health. J Psychosom Res. 1994;38(7):669–680. doi: 10.1016/0022-3999(94)90019-1.
    1. Koizumi M, Ito H, Kaneko Y, Motohashi Y. Effect of having a sense of purpose in life on the risk of death from cardiovascular diseases. J Epidemiol. 2008;18(5):191–196. doi: 10.2188/jea.JE2007388.
    1. Haukkala A, Konttinen H, Lehto E, Uutela A, Kawachi I, Laatikainen T. Sense of coherence, depressive symptoms, cardiovascular diseases, and all-cause mortality. Psychosom Med. 2013;75(4):429–435. doi: 10.1097/PSY.0b013e31828c3fa4.
    1. Stone AA, Schwartz JE, Broderick JE, Deaton A. A snapshot of the age distribution of psychological well-being in the United States. Proc Natl Acad Sci U S A. 2010;107(22):9985–9990. doi: 10.1073/pnas.1003744107.
    1. Sutin AR, Terracciano A, Milaneschi Y, An Y, Ferrucci L, Zonderman AB. The effect of birth cohort on well-being: the legacy of economic hard times. Psychol Sci. 2013;24(3):379–385. doi: 10.1177/0956797612459658.

Source: PubMed

3
Tilaa