Trajectories in physical functioning at older age in relation to childhood and adulthood SES and social mobility: a population-based cohort study
Language English Country Switzerland Media electronic-ecollection
Document type Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't
Grant support
WT064947
Wellcome Trust - United Kingdom
WT081081
Wellcome Trust - United Kingdom
PubMed
37744505
PubMed Central
PMC10513394
DOI
10.3389/fpubh.2023.1228920
Knihovny.cz E-resources
- Keywords
- aging, cohort study, physical functioning, social mobility, socioeconomic status,
- MeSH
- Child MeSH
- Adult MeSH
- Cohort Studies MeSH
- Quality of Life * MeSH
- Humans MeSH
- Cross-Sectional Studies MeSH
- Retrospective Studies MeSH
- Aged MeSH
- Social Mobility * MeSH
- Social Class MeSH
- Check Tag
- Child MeSH
- Adult MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural MeSH
INTRODUCTION: Older age is associated with the deterioration of physical functioning (PF), and low PF is strongly related to poor quality of life among older people. We conducted a study to examine the trajectories of PF between middle and old age, considering sex differences as well as the association between socioeconomic status (SES) at different life stages and changes in PF. METHODS: We analyzed data from the Polish arm of the HAPIEE (Health, Alcohol and Psychosocial factors In Eastern Europe) study, including 1,116 men and 1,178 women aged 45-64 years at baseline. Adult and childhood SES and social mobility were assessed using a retrospectively focused questionnaire. PF was assessed using the 10-question SF-36 scale at baseline examination, face-to-face re-examination, and three postal surveys, covering up to 20 years (on average, 18 years). We employed Generalized Estimating Equations models to assess changes in PF scores over time and compare PF trajectories across different SES categories. RESULTS: After adjusting for age and other covariates, we found that, in both sexes, participants with always middle or high SES, as well as those who reported upward mobility, had higher PF scores at baseline compared to those with always low SES. A decline in PF between middle and old age was observed in all SES groups; however, the decline was slower in participants with always middle or high SES compared to those with always low SES. CONCLUSION: This cohort study revealed that lower SES and downward social mobility were cross-sectionally associated with poorer PF, while upward social mobility seemed to largely reverse the effect of low childhood SES. In addition to the cross-sectional associations observed at baseline, advantaged SES was also significantly associated with a slower decline in PF over an 18-year follow-up period.
See more in PubMed
Cosco TD, Prina AM, Perales J, Blosson CMS, Brayne C. Operational definitions of successful aging: a systematic review. Int Psychogeriatr. (2014) 26:373–81. doi: 10.1017/S1041610213002287, PMID: PubMed DOI
Kozela M, Pająk A, Szafraniec K, Ayuso-Mateos JL, Bobak M, Lu W, et al. . ATHLOS healthy aging scale score as the predictor of all-cause mortality in Poland and Czechia. Front Public Health. (2023) 11:1114497. doi: 10.3389/fpubh.2023.1114497, PMID: PubMed DOI PMC
Fried LP, Ferrucci L, Darer J, Williamson JD, Anderson G. Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care. J Gerontol Series A. (2004) 59:255–63. doi: 10.1093/gerona/59.3.M2552, PMID: PubMed DOI
Feinstein JS. The relationship between socioeconomic status and health: a review of the literature. Milbank Q. (1993) 71:279–322. doi: 10.2307/3350401, PMID: PubMed DOI
Marmot M, Ryff CD, Bumpass LL, Marks NF. Social inequalities in health: next questions and converging evidence. Soc Sci Med. (1997) 44:901–10. doi: 10.1016/s0277-9536(96)00194-3, PMID: PubMed DOI
Bobak M, Pikhart H, Rose R, Marmot M. Socioeconomic factors, material inequalities, and perceived control in self-rated health: cross-sectional data from seven post-communist countries. Soc Sci Med. (2000) 51:1343–50. doi: 10.1016/s0277-9536(00)00096-4, PMID: PubMed DOI
Ross CE, Wu CL. Education, age, and the cumulative advantage in health. J Health Soc Behav. (1996) 37:104–20. doi: 10.2307/2137234, PMID: PubMed DOI
Kim J, Durden E. Socioeconomic status and age trajectories of health. Soc Sci Med. (2007) 65:2489–502. doi: 10.1016/j.socscimed.2007.07.022 PubMed DOI
Chandola T, Ferrie J, Sacker A, Marmot M. Social inequalities in self reported health in early old age: follow-up of prospective cohort study. BMJ. (2007) 334:990–3B. doi: 10.1136/bmj.39167.439792.55, PMID: PubMed DOI PMC
Kim J, Richardson V. The impact of socioeconomic inequalities and lack of health insurance on physical functioning among middle-aged and older adults in the United States. Health Soc Care Community. (2012) 20:42–51. doi: 10.1111/j.1365-2524.2011.01012, PMID: PubMed DOI
Zaninotto P, Sacker A, Head J. Relationship between wealth and age trajectories of walking speed among older adults: evidence from the English longitudinal study of ageing. J Gerontol A Biol Sci Med Sci. (2013) 68:1525–31. doi: 10.1093/gerona/glt058, PMID: PubMed DOI PMC
Taylor MG. Capturing transitions and trajectories: the role of socioeconomic status in later life disability. J Gerontol B Psychol Sci Soc Sci. (2010) 65:733–43. doi: 10.1093/geronb/gbq018, PMID: PubMed DOI PMC
Gerstorf D, Ram N, Lindenberger U, Smith J. Age and time-to-death trajectories of change in indicators of cognitive, sensory, physical, health, social, and self-related functions. Dev Psychol. (2013) 49:1805–21. doi: 10.1037/a0031340, PMID: PubMed DOI
Koster A, Bosma H, Broese van Groenou MI, Kempen GIJM, Penninx BWJH, van Eijk JTM, et al. . Explanations of socioeconomic differences in changes in physical function in older adults: results from the longitudinal aging study Amsterdam. BMC Public Health. (2006) 6:244. doi: 10.1186/1471-2458-6-244, PMID: PubMed DOI PMC
House JS, Lepkowski JM, Kinney AM, Mero RP, Kessler RC, Herzog AR. The social stratification of aging and health. J Health Soc Behav. (1994) 35:213–34. doi: 10.2307/2137277 PubMed DOI
Lynch SM. Cohort and life-course patterns in the relationship between education and health: a hierarchical approach. Demography. (2003) 40:309–31. doi: 10.1353/dem.2003.0016, PMID: PubMed DOI
Ahrenfeldt LJ, Möller S. The reciprocal relationship between socioeconomic status and health and the influence of sex: a European SHARE-analysis based on structural equation modeling. Int J Environ Res Public Health. (2021) 18:5045. doi: 10.3390/ijerph18095045, PMID: PubMed DOI PMC
Galobardes B, Shaw M, Lawlor DA, Lynch JW, Davey SG. Indicators of socioeconomic position (part 1). J Epidemiol Community Health. (2006) 60:7–12. doi: 10.1136/jech.2004.023531, PMID: PubMed DOI PMC
Belsky DW, Caspi A, Cohen HJ, Kraus WE, Ramrakha S, Poulton R, et al. . Impactofearlypersonal-history characteristics on the pace of aging: implications for clinical trials of therapies to slow aging and extend health span. Aging Cell. (2017) 16:644–51. doi: 10.1111/acel.12591, PMID: PubMed DOI PMC
Marini S, Davis KA, Soare TW, Zhu Y, Suderman MJ, Simpkin AJ, et al. . Adversity exposure during sensitive periods predicts accelerated epigenetic aging in children. Psychoneuroendocrinology. (2020) 113:104484. doi: 10.1016/j.psyneuen.2019.104484, PMID: PubMed DOI PMC
Moor I, Spallek J, Richter M. Explaining socioeconomic inequalities in selfrated health: a systematic review of the relative contribution of material, psychosocial and behavioural factors. J Epidemiol Community Health. (2017) 71:565–75. doi: 10.1136/jech-2016-207589, PMID: PubMed DOI
Herrmann J, Vogel M, Pietzner D, Kroll E, Wagner O, Schwarz S, et al. . Factors associated with the emotional health of children: high family income as a protective factor. Eur Child Adolesc Psychiatry. (2018) 27:319–28. doi: 10.1007/s00787-017-1049-0, PMID: PubMed DOI
Poulaina T, Vogela M, Kiess W. Review on the role of socioeconomic status in child health and development. Curr Opin Pediatr. (2020) 32:308–14. doi: 10.1097/MOP.0000000000000876 PubMed DOI
Dathan-Stumpf A, Vogel M, Rieger K, Thiery J, Kiess HA. Serum lipid levels were related to socio-demographic characteristics in a German population-based child cohort. Acta Paediatr. (2016) 105:e360–7. doi: 10.1111/apa.13438, PMID: PubMed DOI
Rieger K, Vogel M, Engel C, Ceglarek U, Harms K, Wurst U, et al. . Does physiological distribution of blood parameters in children depend on socioeconomic status? Results of a German cross-sectional study. BMJ Open. (2018) 8:019143: e019143. doi: 10.1136/bmjopen-2017-019143, PMID: PubMed DOI PMC
Steptoe A, Zaninotto P. Lower socioeconomic status and the acceleration of aging: an outcome-wide analysis. Proc Natl Acad Sci U S A. (2020) 117:14911–7. doi: 10.1073/pnas.1915741117, PMID: PubMed DOI PMC
Laurie M, Corna A. Life course perspective on socioeconomic inequalities in health: a critical review of conceptual frameworks. Adv Life Course Res. (2013) 18:150–9. doi: 10.1016/j.alcr.2013.01.002 PubMed DOI
Cutler DM, Lleras-Muney A, Vogl T. Socioeconomic status and health: Dimensions and mechanisms. (2008). In: NBER Working Paper No. 14333, 2008.
Sorokin PA. Social and cultural mobility. New York: Free Press; (1959).
Schmengler H, Margot PM, Stevens GWJM, Kunst AE, Delaruelle K, Dierckenes M, et al. . Socioeconomic inequalities in adolescent health behaviours across 32 different countries—the role of country-level social mobility. Soc Sci Med. (2022) 310:115289. doi: 10.1016/j.socscimed.2022.115289, PMID: PubMed DOI
Noppert GA, Brown CS, Chanti-Ketter M, Hall KS, Newby LK, Cohen HJ, et al. . The impact of multiple dimensions of socioeconomic status on physical functioning across the life course. Gerontol Geriatr Med. (2018) 4:233372141879402–8. doi: 10.1177/2333721418794021, PMID: PubMed DOI PMC
Torres JM, Rizzo S, Wong R. Lifetime socioeconomic status and late-life health trajectories: longitudinal results from the Mexican health and aging study. J Gerontol B Psychol Sci Soc Sci. (2018) 73:gbw048–360. doi: 10.1093/geronb/gbw048, PMID: PubMed DOI PMC
Kozela M, Polak M, Stepaniak U, Bobak M, Pająk A. Changes in socioeconomic status as predictors of cardiovascular disease incidence and mortality: a 10-year follow-up of a polish-population-based HAPIEE cohort. Int J Environ Res Public Health. (2022) 19:15411. doi: 10.3390/ijerph192215411, PMID: PubMed DOI PMC
Słomczynski KM, Wysmułek I. Social inequality and the life course: Poland’s transformative years, 1988–2013. Warsaw, Poland: IFiS Publishers; (2016).
Zelinska O, Gugushvili A, Bulczak G. Social mobility, health and wellbeing in Poland. Front Sociol. (2021) 6:736249. doi: 10.3389/fsoc.2021.736249, PMID: PubMed DOI PMC
Hu Y, Pikhart H, Pająk A, Kubínová R, Malyutina S, Besala A, et al. . Education, material condition and physical functioning trajectories in middle-aged and older adults in central and Eastern Europe: a cross-country comparison. J Epidemiol Commun Health. (2016) 70:1128–35. doi: 10.1136/jech-2015-206548, PMID: PubMed DOI PMC
World Health Statistics 2022: Monitoring health for the SDGs, sustainable development goals Geneva (2022). Available at: https://www.who.int/data/gho/publications/world-health-statistics (Accessed May 2023).
Healey NM. The transition economic of central and eastern Europe: a political, economic, social and technological analysis. Columbia J World Bus. (1994) 29:62–70. doi: 10.1016/0022-5428(94)90020-5 DOI
Stefler D, Prina M, Wu YT, Sánchez-Niubò A, Lu W, Haro JM, et al. . Socioeconomic inequalities in physical and cognitive functioning: cross-sectional evidence from 37 cohorts across 28 countries in the ATHLOS project. J Epidemiol Community Health. (2021) 75:980–6. doi: 10.1136/jech-2020-214714, PMID: PubMed DOI
Peasey A, Bobak M, Kubinova R, Malyutina S, Pajak A, Tamosiunas A, et al. . Determinants of cardiovascular disease and other non-communicable diseases in central and Eastern Europe: rationale and design of the HAPIEE study. BMC Public Health. (2006) 6:255. doi: 10.1186/1471-2458-6-255, PMID: PubMed DOI PMC
Ware JE. SF-36 health survey update. Spine. (2000) 25:3130–9. doi: 10.1097/00007632-200012150-00008 PubMed DOI
Polak M, Szafraniec K, Kozela M, Wolfshaut-Wolak R, Bobak M, Pająk A. Socioeconomic status and pulmonary function, transition from childhood to adulthood: cross-sectional results from the polish part of the HAPIEE study. BMJ Open. (2019) 9:e022638. doi: 10.1136/bmjopen-2018-022638, PMID: PubMed DOI PMC
Bacher J, Wenzig K, Vogler M. (2004) SPSS TwoStep cluster—a first evaluation. 2nd ed. Arbeitsund Diskussionspapiere/Universität Erlangen-Nürnberg, Sozialwissenschaftliches Institut, Lehrstuhl für Soziologie, 2004-2. Nürnberg: Universität Erlangen-Nürnberg, Wirtschafts- und Sozialwissenschaftliche Fakultät, Sozialwissenschaftliches Institut Lehrstuhl für Soziologie. Available at: https://nbn-resolving.org/urn:nbn:de:0168-ssoar-327153.
Rehm J. Measururing quantity, frequency, and volume of drinking. Alcohol Clin Exp Res. (1998) 22:4S–14S. doi: 10.1097/00000374-199802001-00002 PubMed DOI
Ballinger GA. Using generalized estimating equations for longitudinal data analysis. Organ Res Methods. (2004) 7:127–50. doi: 10.1177/1094428104263672 DOI
R Core Team . R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; (2021). Availabe at: https://www.R-project.org/.
Colen CG, Geronimus AT, Bound J, James SA. Maternal upward socioeconomic mobility and black–white disparities in infant birthweight. Am J Public Health. (2006) 96:2032–9. doi: 10.2105/AJPH.2005.076547, PMID: PubMed DOI PMC
Kuh D, Ben-Shlomo Y, Lynch J, Hallqvist J, Power C. Life course epidemiology. J Epidemiol Community Health. (2003) 57:778–83. doi: 10.1136/jech.57.10.778, PMID: PubMed DOI PMC
McEwen BS, Gianaros PJ. Central role of the brain in stress and adaptation: links to socioeconomic status, health, and disease. Ann N Y Acad Sci. (2010) 1186:190–222. doi: 10.1111/j.1749-6632.2009.05331.x, PMID: PubMed DOI PMC
Raffington L, Belsky DW, Kothari M, Malanchini M, Tucker-Drob EM, Harden KP. Socioeconomic disadvantage and the pace of biological aging in children. Pediatrics. (2021) 147:e2020024406. doi: 10.1542/peds.2020-024406, PMID: PubMed DOI PMC
Graf GH, Zhang Y, Domingue BW, Harris KM, Kothari M, Kwon D, et al. . Social mobility and biological aging among older adults in the United States. PNAS Nexus. (2022) 1:1–10. doi: 10.1093/pnasnexus/pgac029, PMID: PubMed DOI PMC
Bao Y, Gorrie-Stone T, Hannon E, Hughes A, Andrayas A, Neilson G, et al. . Social mobility across the lifecourse and DNA methylation age acceleration in adults in the UK. Sci Rep. (2022) 12:22284. doi: 10.1038/s41598-022-26433-2, PMID: PubMed DOI PMC
Chen E, Miller GE, Brody GH, Lei M. Neighborhood poverty, college attendance, and diverging profiles of substance use and allostatic load in rural African American youth. Clin Psychol Sci. (2015) 3:675–85. doi: 10.1177/2167702614546639, PMID: PubMed DOI PMC
Brody GH, Yu T, Chen E, Miller GE. Persistence of skin-deep resilience in African American adults. Health Psychol. (2020) 39:921–6. doi: 10.1037/hea0000945, PMID: PubMed DOI PMC
Gaydosh L, Schorpp KM, Chen E, Miller GE, Harris KM. College completion predicts lower depression but higher metabolic syndrome among disadvantaged minorities in young adulthood. Proc Natl Acad Sci U S A. (2018) 115:109–14. doi: 10.1073/pnas.1714616114, PMID: PubMed DOI PMC
Schwartz E, Litwin H. The reciprocal relationship between social connectedness and mental health among older European adults: a SHARE-based analysis. J Gerontol B Psychol Sci Soc Sci. (2019) 74:694–702. doi: 10.1093/geronb/gbx131, PMID: PubMed DOI PMC
Hoffmann R, Kröger H, Pakpahan E. The reciprocal relationship between material factors and health in the life course: evidence from SHARE and ELSA. Eur J Ageing. (2018) 15:379–91. doi: 10.1007/s10433-018-0458-3, PMID: PubMed DOI PMC
Saadeh M, Welmer AK, Dekhtyar S, Fratiglioni L, Calderón-Larrañaga A. The role of psychological and social well-being on physical function trajectories in older adults. J Gerontol A Biol Sci Med Sci. (2020) 75:1579–85. doi: 10.1093/gerona/glaa114, PMID: PubMed DOI PMC
Moor I, Kuipers MAG, Lorant V, Pförtner TK, Kinnunen JM, Rathmann K, et al. . Inequalities in adolescent self-rated health and smoking in Europe: comparing different indicators of socioeconomic status. J Epidemiol Community Health. (2019) 73:963–70. doi: 10.1136/jech-2018-211794, PMID: PubMed DOI
Pandey N, Darin-Mattsson A, Nilsen C. Working conditions mediate the association between social class and physical function in older age in Sweden: a prospective cohort study. BMC Public Health. (2020) 20:1360–10. doi: 10.1186/s12889-020-09431-9, PMID: PubMed DOI PMC
Gmel G, Rehm J. Measuring alcohol consumption. Contemp Drug Probs. (2004) 31:467–540. doi: 10.1177/009145090403100304 DOI
Topór-Madry R, Bobak M, Pajak A. 5-year mortality in respondents and nonrespondent for the cohort study of 20 000 randomly selected middle aged men and women the HAPIEE project. Eur J Prev Cardiol. (2012) 19:S71.
Hu Y, Pikhart H, Kubinova R, Malyutina S, Pajak A, Besala A, et al. . Alcohol consumption and longitudinal trajectories of physical functioning in central and Eastern Europe: a 10-year follow-up of HAPIEE study. J Gerontol A Biol Sci Med Sci. (2016) 71:1063–8. doi: 10.1093/gerona/glv233, PMID: PubMed DOI PMC
Hu Y, Pikhart H, Malyutina S, Pajak A, Kubinova R, Nikitin Y, et al. . Alcohol consumption and physical functioning among middle-aged and older adults in central and Eastern Europe: results from the HAPIEE study. Age Ageing. (2015) 44:84–9. doi: 10.1093/ageing/afu083, PMID: PubMed DOI PMC