Top

Quality of Life Research

Gepubliceerd in:

22-08-2018

How you live is how you feel? Positive associations between different lifestyle factors, cognitive functioning, and health-related quality of life across adulthood

Auteurs: Caroline Cohrdes, Gert B. M. Mensink, Heike Hölling

Gepubliceerd in: Quality of Life Research | Uitgave 12/2018

Abstract

Purpose

Self-reported health-related quality of life (HRQoL) represents one central indicator for the need of prevention or intervention with gaining importance for public health monitoring. As part of this framework, the present study aims to identify potentially supportive factors of HRQoL and to determine age-related differences.

Methods

In a sample of young to older adults (18–79 years; M = 52.71, SD = 16.06) from the German Health Interview and Examination Survey for Adults (DEGS1 subsample, n = 3667, 52% female), we investigated interrelations between individual (e.g., chronic condition), social (e.g., social support), and lifestyle factors (e.g., healthy eating) and executive functioning with the physical composite scale (PCS) and the mental composite scale (MCS) of HRQoL with the help of path analyses. Secondly, we performed multiple regression analyses to determine age interactions.

Results

Results suggest direct and indirect paths on PCS, respectively, MCS from various lifestyle factors and executive functioning in addition to individual and social factors with a good model fit (PCS: CD = .63, SRMR = .001; MCS: CD = .64, SRMR = .003). Furthermore, results suggest physical activity and healthy eating to become particularly relevant with advancing age (age group × physical activity on PCS, β = .09, p < .05; age group × healthy eating on MCS, β > .50, p < .01).

Conclusions

Several lifestyle factors and executive functioning offer the potential to promote HRQoL in the everyday life of individuals at various ages, independent of individual or social determinants. Public health action might want to foster behavioral multicomponent approaches supporting healthy aging.

vorige artikel Health-related quality of life and the physician–patient alliance: a preliminary investigation of ultra-brief, real-time measures for primary care

volgende artikel Physical activity attenuates the impact of poor physical, mental, and social health on total and cardiovascular mortality in older adults: a population-based prospective cohort study

Alleen toegankelijk voor geautoriseerde gebruikers

We tested multicollinearity by taking the correlation between indicators and the variance inflation factor (VIF) of all indicators of the regression model into account. All values were below the conventional limits of r < .70 and VIF < 10 (e.g., [56]).

We furthermore tested for HRQoL differences between the three physical activity (none, < 2 h, > 2 h) and healthy eating categories (low, medium, high) for each age group, separately. PCS scores differed significantly regarding physical activity for young (none vs. < 2 h B = − 0.14, SE = 0.75, p = .85; none vs. > 2 h B = 1.67, SE = 0.70, p = .02), middle-aged (none vs. < 2 h B = 0.41, SE = 0.73, p = .58; none vs. > 2 h B = 2.71, SE = 0.72, p < .01) as well as older adults (none vs. < 2 h B = 2.85, SE = 0.83, p < .01; none vs. > 2 h B = 5.21, SE = 0.94, p < .01), while MCS scores did not differ significantly regarding physical activity for young (none vs. < 2 h B = 1.47, SE = 1.24, p = .24; none vs. > 2 h B = 1.96, SE = 1.30, p = .14), middle-aged (none vs. < 2 h B = 0.31, SE = 0.82, p = .71; none vs. > 2 h B = 1.49, SE = 0.85, p = .08) , and older adults (none vs. < 2 h B = − 0.36, SE = 0.85, p = .67; none vs. > 2 h B = − 0.08, SE = 0.98, p = .94). MCS scores differed significantly regarding healthy eating for older (low vs. medium B = 4.04, SE = 1.86, p = .03; low vs. high B = 6.43, SE = 1.96, p < .01) but not for young (low vs. medium B = − 0.49, SE = 1.14, p = .67; low vs. high B = − 2.61, SE = 2.21, p = .24) or middle-aged adults (low vs. medium B = − 0.46, SE = 1.34, p = .73; low vs. high B = − 0.73, SE = 1.88, p = .64)

Fagerström, C., & Borglin, G. (2013). Mobility, functional ability and health-related quality of life among people of 60 years or older. Aging Clinical and Experimental Research, 22(5–6), 387–394. https://doi.org/10.1007/bf03324941.CrossRef

Mulasso, A., Roppolo, M., & Rabaglietti, E. (2014). The role of individual characteristics and physical frailty on health related quality of life (HRQOL): A cross sectional study of Italian community-dwelling older adults. Archives of Gerontology and Geriatrics, 59(3), 542–548. https://doi.org/10.1016/j.archger.2014.08.012.CrossRefPubMed

Saarni, S. I., Suvisaari, J., Sintonen, H., Pirkola, S., Koskinen, S., Aromaa, A., et al. (2007). Impact of psychiatric disorders on health-related quality of life: General population survey. British Journal of Psychiatry, 190(4), 326–332. https://doi.org/10.1192/bjp.bp.106.025106.CrossRefPubMed

Hennessy, C. H., Moriarty, D. G., Zack, M. M., Scherr, P. A., & Brackbill, R. (1994). Measuring health-related quality of life for public health surveillance. Public Health Reports, 109(5), 665–672.PubMedPubMedCentral

WHO. (1995). The World Health Organization quality of life assessment (WHOQOL): Position paper from the World Health Organization. Social Science & Medicine, 41(10), 1403–1409. https://doi.org/10.1016/0277-9536(95)00112-k.CrossRef

US Department of Health and Human Services. (2010). Healthy people 2020. Washington, DC: Office of the Assistant Secretary for Health. Retrieved from http://www.healthypeople.gov/2020/about/DOHAbout.aspx.

Parekh, A. K., Goodman, R. A., Gordon, C., Koh, H. K., & HHS Interagency Workgroup on Multiple Chronic Conditions (2011). Managing multiple chronic conditions: A strategic framework for improving health outcomes and quality of life. Public Health Reports 126(4), 460–471, https://doi.org/10.1177/003335491112600403.CrossRefPubMedPubMedCentral

Saarni, S. I., Härkänen, T., Sintonen, H., Suvisaari, J., Koskinen, S., Aromaa, A., et al. (2006). The impact of 29 chronic conditions on health-related quality of life: A general population survey in Finland using 15D and EQ-5D. Quality of Life Research, 15(8), 1403–1414. https://doi.org/10.1007/s11136-006-0020-1.CrossRefPubMed

Lubetkin, E. I., Jia, H., Franks, P., & Gold, M. R. (2005). Relationship among sociodemographic factors, clinical conditions, and health-related quality of life: Examining the EQ-5D in the US general population. Quality of Life Research, 14(10), 2187–2196. https://doi.org/10.1007/s11136-005-8028-5.CrossRefPubMed

10.

Sun, S., Chen, J., Johannesson, M., Kind, P., Xu, L., Zhang, Y., et al. (2011). Population health status in China: EQ-5D results, by age, sex and socio-economic status, from the National Health Services Survey 2008. Quality of Life Research, 20(3), 309–320. https://doi.org/10.1007/s11136-010-9762-x.CrossRefPubMed

11.

Gana, K., Bailly, N., Saada, Y., Joulain, M., & Alaphilippe, D. (2013). Does life satisfaction change in old age: Results from an 8-year longitudinal study. Journal of Gerontology B Psychological Science and Social Science, 68(4), 540–552. https://doi.org/10.1093/geronb/gbs093.CrossRef

12.

Gunzelmann, T., Albani, C., Beutel, M., & Brahler, E. (2006). Subjective health of older people in view of the SF-36: Values from a large community-based sample. Zeitschrift Gerontologie Geriatrie, 39(2), 109–119. https://doi.org/10.1007/s00391-006-0352-z.CrossRef

13.

Costa, P. T. Jr., McCrae, R. R., & Zonderman, A. B. (1987). Environmental and dispositional influences on well-being: Longitudinal follow-up of an American national sample. British Journal of Psychology, 78(3), 299–306. https://doi.org/10.1111/j.2044-8295.1987.tb02248.x.CrossRefPubMed

14.

Cherepanov, D., Palta, M., Fryback, D. G., & Robert, S. A. (2010). Gender differences in health-related quality-of-life are partly explained by sociodemographic and socioeconomic variation between adult men and women in the US: Evidence from four US nationally representative data sets. Quality of Life Research, 19(8), 1115–1124. https://doi.org/10.1007/s11136-010-9673-x.CrossRefPubMedPubMedCentral

15.

Bukman, A. J., Teuscher, D., Feskens, E. J., van Baak, M. A., Meershoek, A., & Renes, R. J. (2014). Perceptions on healthy eating, physical activity and lifestyle advice: Opportunities for adapting lifestyle interventions to individuals with low socioeconomic status. BMC Public Health. https://doi.org/10.1186/1471-2458-14-1036.CrossRefPubMedPubMedCentral

16.

Stringhini, S., Sabia, S., Shipley, M., Brunner, E., Nabi, H., Kivimaki, M., et al. (2010). Association of socioeconomic position with health behaviors and mortality. JAMA, 303(12), 1159–1166. https://doi.org/10.1001/jama.2010.297.CrossRefPubMedPubMedCentral

17.

Lallukka, T., Laaksonen, M., Rahkonen, O., Roos, E., & Lahelma, E. (2007). Multiple socio-economic circumstances and healthy food habits. European Journal of Clinical Nutrition, 61(6), 701–710. https://doi.org/10.1038/sj.ejcn.1602583.CrossRefPubMed

18.

Pinquart, M., & Sörensen, S. (2001). How effective are psychotherapeutic and other psychosocial interventions with older adults? A meta-analysis. Journal of Mental Health and Aging, 7(2), 207–243.

19.

Enkvist, A., Ekstrom, H., & Elmstahl, S. (2012). Associations between functional ability and life satisfaction in the oldest old: Results from the longitudinal population study good aging in Skane. Clinical Interventions in Aging, 7, 313–320. https://doi.org/10.2147/CIA.S33610.CrossRefPubMedPubMedCentral

20.

Fone, D., Dunstan, F., Lloyd, K., Williams, G., Watkins, J., & Palmer, S. (2007). Does social cohesion modify the association between area income deprivation and mental health? A multilevel analysis. International Journal of Epidemiology, 36(2), 338–345. https://doi.org/10.1093/ije/dym004.CrossRefPubMed

21.

Kawachi, I., & Berkman, L. F. (2001). Social ties and mental health. Journal of Urban Health, 78(3), 458–467. https://doi.org/10.1093/jurban/78.3.458.CrossRefPubMedPubMedCentral

22.

Kahana, E., Kahana, B., & Lee, J. E. (2014). Proactive approaches to successful aging: One clear path through the forest. Gerontology, 60(5), 466–474. https://doi.org/10.1159/000360222.CrossRefPubMedPubMedCentral

23.

Bize, R., Johnson, J. A., & Plotnikoff, R. C. (2007). Physical activity level and health-related quality of life in the general adult population: A systematic review. Preventive Medicine, 45(6), 401–415. https://doi.org/10.1016/j.ypmed.2007.07.017.CrossRefPubMed

24.

Fontaine, K. R., Barofsky, I., Andersen, R. E., Bartlett, S. J., Wiersema, L., Cheskin, L. J., et al. (1999). Impact of weight loss on health-related quality of life. Quality of Life Research, 8(3), 275–277. https://doi.org/10.1023/A:1008835602894.CrossRefPubMed

25.

Colcombe, S., & Kramer, A. F. (2003). Fitness effects on the cognitive function of older adults: A meta-analytic study. Psychology Science, 14(2), 125–130. https://doi.org/10.1111/1467-9280.t01-1-01430.CrossRef

26.

Penedo, F. J., & Dahn, J. R. (2005). Exercise and well-being: A review of mental and physical health benefits associated with physical activity. Current Opinion in Psychiatry, 18(2), 189–193.CrossRef

27.

Drewnowski, A., & Evans, W. J. (2001). Nutrition, physical activity, and quality of life in older adults: Summary. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 56(Supplement 2), 89–94. https://doi.org/10.1093/gerona/56.suppl_2.89.CrossRef

28.

Smith, P. J., Blumenthal, J. A., Hoffman, B. M., Cooper, H., Strauman, T. A., Welsh-Bohmer, K., et al. (2010). Aerobic exercise and neurocognitive performance: A meta-analytic review of randomized controlled trials. Psychosomatic Medicine, 72(3), 239–252. https://doi.org/10.1097/PSY.0b013e3181d14633.CrossRefPubMedPubMedCentral

29.

Josefsson, T., Lindwall, M., & Archer, T. (2014). Physical exercise intervention in depressive disorders: Meta-analysis and systematic review. Scandinavian Journal of Medicine Science in Sports, 24(2), 259–272. https://doi.org/10.1111/sms.12050.CrossRefPubMed

30.

Kennedy, E., Ohls, J., Carlson, S., & Fleming, K. (1995). The healthy eating index: Design and applications. Journal of the Academy of Nutrition and Dietetics, 95(10), 1103–1108. https://doi.org/10.1016/S0002-8223(95)00300-2.CrossRef

31.

Bowling, A., & Grundy, E. (1997). Activities of daily living: Changes in functional ability in three samples of elderly and very elderly people. Age and Ageing, 26(2), 107–114. https://doi.org/10.1093/ageing/26.2.107.CrossRefPubMed

32.

Borg, C., Fagerstrom, C., Balducci, C., Burholt, V., Ferring, D., Weber, G., et al. (2008). Life satisfaction in 6 European countries: The relationship to health, self-esteem, and social and financial resources among people (aged 65–89) with reduced functional capacity. Geriatric Nursing, 29(1), 48–57. https://doi.org/10.1016/j.gerinurse.2007.05.002.CrossRefPubMed

33.

Jonker, A. A., Comijs, H. C., Knipscheer, K. C., & Deeg, D. J. (2009). The role of coping resources on change in well-being during persistent health decline. Journal of Aging Health, 21(8), 1063–1082. https://doi.org/10.1177/0898264309344682.CrossRefPubMed

34.

Weuve, J., Kang, J. H., Manson, J. E., Breteler, M. M., Ware, J. H., & Grodstein, F. (2004). Physical activity, including walking, and cognitive function in older women. JAMA, 292(12), 1454–1461. https://doi.org/10.1001/jama.292.12.1454.CrossRefPubMed

35.

Ford, D. E., & Kamerow, D. B. (1989). Epidemiologic study of sleep disturbances and psychiatric disorders. An opportunity for prevention? JAMA, 262(11), 1479–1484.CrossRef

36.

Alhola, P., & Polo-Kantola, P. (2007). Sleep deprivation: Impact on cognitive performance. Neuropsychiatric Disease Treatment, 3(5), 553–567.PubMed

37.

Lo, J. C., Loh, K. K., Zheng, H., Sim, S. K., & Chee, M. W. (2014). Sleep duration and age-related changes in brain structure and cognitive performance. Sleep, 37(7), 1171–1178. https://doi.org/10.5665/sleep.3832.CrossRefPubMedPubMedCentral

38.

Kim, S., DeRoo, L. A., & Sandler, D. P. (2011). Eating patterns and nutritional characteristics associated with sleep duration. Public Health Nutrition, 14(5), 889–895. https://doi.org/10.1017/S136898001000296X.CrossRefPubMed

39.

Jacobi, F., Mack, S., Gerschler, A., Scholl, L., Hofler, M., Siegert, J., et al. (2013). The design and methods of the mental health module in the German Health Interview and Examination Survey for Adults (DEGS1-MH). International Journal of Methods in Psychiatric Research, 22(2), 83–99. https://doi.org/10.1002/mpr.1387.CrossRefPubMed

40.

Scheidt-Nave, C., Kamtsiuris, P., Gosswald, A., Holling, H., Lange, M., Busch, M. A., et al. (2012). German health interview and examination survey for adults (DEGS)—design, objectives and implementation of the first data collection wave. BMC Public Health, 12, 730. https://doi.org/10.1186/1471-2458-12-730.CrossRefPubMedPubMedCentral

41.

Ware, J. E., Kosinski, M., Bjorner, J. B., Turner-Bowker, D. M., Gandek, B., & Maruish, M. E. (2008). User’s manual for the SF-36v2 health survey. Lincoln: Quality Metric Incorporated.

42.

Bullinger, M. (1995). German translation and psychometric testing of the SF-36 Health Survey: Preliminary results from the IQOLA project. Social Science & Medicine, 41(10), 1359–1366. https://doi.org/10.1016/0277-9536(95)00115-N.CrossRef

43.

Ware, J. E., & Gandek, B. (1998). Overview of the SF-36 health survey and the International Quality of Life Assessment (IQOLA) Project. Journal of Clinical Epidemiology, 51(11), 903–912. https://doi.org/10.1016/S0895-4356(98)00081-X.CrossRefPubMed

44.

Ellert, U., & Kurth, B. M. (2004). Methodological views on the SF-36 summary scores based on the adult German population. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz, 47(11), 1027–1032. https://doi.org/10.1007/s00103-004-0933-1.CrossRefPubMed

45.

Cox, B., Oyen, H. V., Cambois, E., Jagger, C., Roy, S. l., Robine, J.-M., et al. (2009). The reliability of the Minimum European Health Module. International Journal of Public Health, 54(2), 55–60. https://doi.org/10.1007/s00038-009-7104-y.CrossRefPubMed

46.

Netz, Y., Wu, M. J., Becker, B. J., & Tenenbaum, G. (2005). Physical activity and psychological well-being in advanced age: A meta-analysis of intervention studies. Psychology and Aging, 20(2), 272–284. https://doi.org/10.1037/0882-7974.20.2.272.CrossRefPubMed

47.

Forte, R., Boreham, C. A., Leite, J. C., De Vito, G., Brennan, L., Gibney, E. R., et al. (2013). Enhancing cognitive functioning in the elderly: Multicomponent vs resistance training. Clinical Interventions in Aging, 8, 19–27. https://doi.org/10.2147/CIA.S36514.CrossRefPubMedPubMedCentral

48.

Lampert, T., Kroll, L., Muters, S., & Stolzenberg, H. (2013). Measurement of socioeconomic status in the German Health Interview and Examination Survey for Adults (DEGS1). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz, 56(5–6), 631–636. https://doi.org/10.1007/s00103-012-1663-4.CrossRefPubMed

49.

Mensink, G. B., Truthmann, J., Rabenberg, M., Heidemann, C., Haftenberger, M., Schienkiewitz, A., et al. (2013). Fruit and vegetable intake in Germany: Results of the German Health Interview and Examination Survey for Adults (DEGS1). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz, 56(5–6), 779–785. https://doi.org/10.1007/s00103-012-1651-8.CrossRefPubMed

50.

Kuhn, D. A. (2017). Entwicklung eines Index zur Bewertung der Ernährungsqualität in der Studie zur Gesundheit Erwachsener in Deutschland (DEGS1) [The development of a healthy eating index to assess the quality of nutrition in the German Health Examination and Interview for Adults (DEGS1)] (master’s thesis). Berlin and Potsdam, Germany: Robert Koch Institute and German Institute of Human Nutrition.

51.

Hirshkowitz, M., Whiton, K., Albert, S. M., Alessi, C., Bruni, O., DonCarlos, L., et al. (2015). National Sleep Foundation’s sleep time duration recommendations: Methodology and results summary. Sleep Health, 1(1), 40–43. https://doi.org/10.1016/j.sleh.2014.12.010.CrossRefPubMed

52.

Chen, X., Wang, R., Zee, P., Lutsey, P. L., Javaheri, S., Alcántara, C., et al. (2015). Racial/ethnic differences in sleep disturbances: The multi-ethnic study of atherosclerosis (MESA). Sleep, 38(6), 877–888. https://doi.org/10.5665/sleep.4732.CrossRefPubMedPubMedCentral

53.

Wagner, M., Wolfsgruber, S., Gaertner, B., Kleineidam, L., Buttery, A. K., Jacobi, F., et al. (2017). Cognitive functioning in the general population: Factor structure and association with mental disorders-the neuropsychological test battery of the mental health module of the German Health Interview and Examination Survey for Adults (DEGS1-MH). International Journal of Methods Psychiatric in Research, 27(1), e1594. https://doi.org/10.1002/mpr.1594.CrossRef

54.

StataCorp LP (2015). STATA 14 [Computer software]. College Station: TX: StataCorp LP.

55.

Ladwig, K. H., Marten-Mittag, B., Formanek, B., & Dammann, G. (2000). Gender differences of symptom reporting and medical health care utilization in the German population. European Journal of Epidemiology, 16(6), 511–518. https://doi.org/10.1023/A:1007629920752.CrossRefPubMed

56.

Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., et al. (2013). Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36(1), 27–46. https://doi.org/10.1111/j.1600-0587.2012.07348.x. doi.CrossRef

57.

Kessler, E.-M., & Staudinger, U. M. (2010). Emotional resilience and beyond: A synthesis of findings from lifespan psychology and psychopathology. In P. S. Fry & C. L. M. Keyes (Eds.), New frontiers in resilient aging: Life-strengths and well-being in late life (pp. 258–282). Cambridge: Cambridge University Press.CrossRef

58.

Gidlow, C., Johnston, L. H., Crone, D., Ellis, N., & James, D. (2006). A systematic review of the relationship between socio-economic position and physical activity. Health Education Journal, 65(4), 338–367. https://doi.org/10.1177/0017896906069378.CrossRef

59.

Oxman, T. E., Berkman, L. F., Kasl, S., Freeman, D. H. Jr., & Barrett, J. (1992). Social support and depressive symptoms in the elderly. American Journal of Epidemiology, 135(4), 356–368. https://doi.org/10.1093/oxfordjournals.aje.a116297.CrossRefPubMed

60.

Bassuk, S. S., Glass, T. A., & Berkman, L. F. (1999). Social disengagement and incident cognitive decline in community-dwelling elderly persons. Annals of Internal Medicine, 131(3), 165–173. https://doi.org/10.7326/0003-4819-131-3-199908030-00002.CrossRefPubMed

61.

Wolinsky, F. D., Unverzagt, F. W., Smith, D. M., Jones, R., Wright, E., & Tennstedt, S. L. (2006). The effects of the ACTIVE cognitive training trial on clinically relevant declines in health-related quality of life. Journal of Gerontology B Psychological Science and Social Science, 61(5), 281–287. https://doi.org/10.1093/geronb/61.5.S281.CrossRef

62.

Singh, B., Parsaik, A. K., Mielke, M. M., Erwin, P. J., Knopman, D. S., Petersen, R. C., et al. (2014). Association of mediterranean diet with mild cognitive impairment and Alzheimer’s disease: A systematic review and meta-analysis. Journal of Alzheimer’s disease: JAD, 39(2), 271–282. https://doi.org/10.3233/JAD-130830.CrossRefPubMed

63.

Theodora, P., Psaltopoulou, T., Sergentanis, T. N., Panagiotakos, D. B., Sergentanis, I. N., Kosti, R., & Scarmeas, N. (2013). Mediterranean diet, stroke, cognitive impairment, and depression: A meta-analysis. Annals of Neurology, 74(4), 580–591. https://doi.org/10.1002/ana.23944.CrossRef

64.

Bamidis, P. D., Vivas, A. B., Styliadis, C., Frantzidis, C., Klados, M., Schlee, W., et al. (2014). A review of physical and cognitive interventions in aging. Neuroscience Biobehavioral Reviews, 44, 206–220. https://doi.org/10.1016/j.neubiorev.2014.03.019.CrossRefPubMed

65.

Payette, H., & Shatenstein, B. (2005). Determinants of healthy eating in community-dwelling elderly people. Canadian Journal of Public Health, 96, 27–31.

Titel: How you live is how you feel? Positive associations between different lifestyle factors, cognitive functioning, and health-related quality of life across adulthood
Auteurs: Caroline Cohrdes
Gert B. M. Mensink
Heike Hölling
Publicatiedatum: 22-08-2018
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 12/2018
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-018-1971-8

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Purpose

Methods

Results

Conclusions

Log in om toegang te krijgen

Andere artikelen Uitgave 12/2018

Linking the Psychosocial Impact of Assistive Devices Scale (PIADS) to the International Classification of Functioning, Disability, and Health

Child maltreatment as a social determinant of midlife health-related quality of life in women: do psychosocial factors explain this association?

The relationship of neighbourhood-level material and social deprivation with health-related quality of life

Measuring quality of life in children with spinal muscular atrophy: a systematic literature review

Modification of existing patient-reported outcome measures: qualitative development of the MD Anderson Symptom Inventory for malignant pleural mesothelioma (MDASI-MPM)

The importance of national levels of eudaimonic well-being to life satisfaction in old age: a global study