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For: Henriques A, Ruano L, Fraga S, Soares S, Barros H, Talih M. Life-course socio-economic status and its impact on functional health of Portuguese older adults. J Biosoc Sci 2024;56:36-49. [PMID: 37309019 DOI: 10.1017/s0021932023000093] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]

For:	Henriques A, Ruano L, Fraga S, Soares S, Barros H, Talih M. Life-course socio-economic status and its impact on functional health of Portuguese older adults. J Biosoc Sci 2024;56:36-49. [PMID: 37309019 DOI: 10.1017/s0021932023000093] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]

Number

Cited by Other Article(s)

Luan D, Mu Q. Analysing the Impact of Socioeconomic Factors on Mental Health Differences in Chinese Society: Integrating Cultural, Psychological and Technological Perspectives. Int J Ment Health Nurs 2025;34:e13432. [PMID: 39462975 DOI: 10.1111/inm.13432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 08/02/2024] [Accepted: 08/23/2024] [Indexed: 10/29/2024]

Esposito S, Bonaccio M, Di Castelnuovo A, Ruggiero E, Persichillo M, Magnacca S, De Curtis A, Cerletti C, Donati MB, de Gaetano G, Iacoviello L, Gialluisi A. Life-Course Socioeconomic Trajectories and Biological Aging: The Importance of Lifestyles and Physical Wellbeing. Nutrients 2024;16:3353. [PMID: 39408320 PMCID: PMC11478881 DOI: 10.3390/nu16193353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Revised: 09/26/2024] [Accepted: 09/30/2024] [Indexed: 10/20/2024] Open

Abstract

BACKGROUND/OBJECTIVES

Studies investigating the associations between life-course socioeconomic status (SES) and biological aging (the difference between biological and chronological age, Δage) have mostly been focused on epigenetic clocks and on a limited number of mediators. The aim of this study was to investigate this relationship using a blood-based aging clock, as well as the potential mediation of different factors including lifestyles or their proxies and physical and mental wellbeing.

METHODS

A deep-learning aging clock based on 36 blood markers was deployed, in a large Italian population cohort: the Moli-sani study (N = 4772; ≥35 years; 48% men). SES was defined as an eight-level trajectory over the life course, which was tested with Δage in linear models incrementally adjusted for age, sex, and prevalent health conditions. Moreover, the proportion of associations explained by diverse potential mediators, including diet, smoking, physical activity, alcohol, body mass index (BMI), and physical and mental quality of life (QoL) was estimated.

RESULTS

Compared to participants with a stably high SES, those showing an educational and financial downward trajectory were older than their CA (β (95%CI) = 1.28 (0.73-1.83) years), as were those with a stably low SES (0.75 (0.25-01.25) years). These associations were largely explained by the tested mediators (overall proportion: 36.2% and 66.3%, respectively), prominently by physical QoL (20.7% and 41.0%), BMI (16.8% and 34.3%), lifestyle (10.6% and 24.6%), and dietary inflammatory score (5.3% and 9.2%).

CONCLUSIONS

These findings indicate that life-course socioeconomic inequalities are associated with accelerated biological aging, suggesting physical wellbeing and pro-inflammatory lifestyles as potential public health targets to slow down this process in susceptible socioeconomic strata of the population.

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Affiliation(s)

Simona Esposito Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, 86077 Pozzilli, Isernia, Italy; (S.E.); (M.B.); (A.D.C.); (E.R.); (M.P.); (S.M.); (A.D.C.); (C.C.); (M.B.D.); (G.d.G.); (A.G.)
Marialaura Bonaccio Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, 86077 Pozzilli, Isernia, Italy; (S.E.); (M.B.); (A.D.C.); (E.R.); (M.P.); (S.M.); (A.D.C.); (C.C.); (M.B.D.); (G.d.G.); (A.G.)
Augusto Di Castelnuovo Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, 86077 Pozzilli, Isernia, Italy; (S.E.); (M.B.); (A.D.C.); (E.R.); (M.P.); (S.M.); (A.D.C.); (C.C.); (M.B.D.); (G.d.G.); (A.G.)
Emilia Ruggiero Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, 86077 Pozzilli, Isernia, Italy; (S.E.); (M.B.); (A.D.C.); (E.R.); (M.P.); (S.M.); (A.D.C.); (C.C.); (M.B.D.); (G.d.G.); (A.G.)
Mariarosaria Persichillo Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, 86077 Pozzilli, Isernia, Italy; (S.E.); (M.B.); (A.D.C.); (E.R.); (M.P.); (S.M.); (A.D.C.); (C.C.); (M.B.D.); (G.d.G.); (A.G.)
Sara Magnacca Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, 86077 Pozzilli, Isernia, Italy; (S.E.); (M.B.); (A.D.C.); (E.R.); (M.P.); (S.M.); (A.D.C.); (C.C.); (M.B.D.); (G.d.G.); (A.G.)
Amalia De Curtis Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, 86077 Pozzilli, Isernia, Italy; (S.E.); (M.B.); (A.D.C.); (E.R.); (M.P.); (S.M.); (A.D.C.); (C.C.); (M.B.D.); (G.d.G.); (A.G.)
Chiara Cerletti Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, 86077 Pozzilli, Isernia, Italy; (S.E.); (M.B.); (A.D.C.); (E.R.); (M.P.); (S.M.); (A.D.C.); (C.C.); (M.B.D.); (G.d.G.); (A.G.)
Maria Benedetta Donati Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, 86077 Pozzilli, Isernia, Italy; (S.E.); (M.B.); (A.D.C.); (E.R.); (M.P.); (S.M.); (A.D.C.); (C.C.); (M.B.D.); (G.d.G.); (A.G.)
Giovanni de Gaetano Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, 86077 Pozzilli, Isernia, Italy; (S.E.); (M.B.); (A.D.C.); (E.R.); (M.P.); (S.M.); (A.D.C.); (C.C.); (M.B.D.); (G.d.G.); (A.G.)
Licia Iacoviello Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, 86077 Pozzilli, Isernia, Italy; (S.E.); (M.B.); (A.D.C.); (E.R.); (M.P.); (S.M.); (A.D.C.); (C.C.); (M.B.D.); (G.d.G.); (A.G.) Department of Medicine and Surgery, LUM University, 70010 Casamassima, Bari, Italy
Alessandro Gialluisi Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell’Elettronica, 86077 Pozzilli, Isernia, Italy; (S.E.); (M.B.); (A.D.C.); (E.R.); (M.P.); (S.M.); (A.D.C.); (C.C.); (M.B.D.); (G.d.G.); (A.G.) Department of Medicine and Surgery, LUM University, 70010 Casamassima, Bari, Italy
on behalf of the Moli-Sani Study Investigators

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Liu M, Zhang M, Zhou J, Song N, Zhang L. Research on the healthy life expectancy of older adult individuals in China based on intrinsic capacity health standards and social stratification analysis. Front Public Health 2024;11:1303467. [PMID: 38356656 PMCID: PMC10865369 DOI: 10.3389/fpubh.2023.1303467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 12/13/2023] [Indexed: 02/16/2024] Open

Abstract

Background

Based on the health standard of intrinsic capacity, this paper conducts an empirical study on the healthy life expectancy of older adult individuals aged 60 and older in China and analyzes the health inequities associated with different social characteristics to provide a reference for improving care for the older adult in China.

Methods

Data from the China Health and Retirement Longitudinal Study from 2011 to 2015 were used to evaluate the intrinsic capacity level of older adult individuals, and the multistate life table method was used to measure the healthy life expectancy of older adult individuals in China with the help of IMaCH software. Based on the theory of social stratification, the health inequality between older adult individuals in different social classes was analyzed in three dimensions: residence, income and education level.

Results

The calculation results show that the average life expectancy of the older adult in China at age 60 is 21.07 years, the healthy life expectancy is 16.89 years, and the healthy life expectancy accounts for 80.2% of the average life expectancy. The healthy life expectancy of older adult individuals with different social characteristics in China shows significant differences, and the healthy life expectancy of older adult individuals who are male, live in urban environments, have high levels of education and have middle- to high-income levels is significantly better than that of older adult individuals who are female, live in rural areas, have low levels of education and income.

Conclusion

Healthy life expectancy measured by intrinsic capacity as the health standard has a certain reference value, which reflects the overall health level of older adult individuals in China and expands the transformation and multidimensional understanding of the healthy thinking of older adult individuals in China. The analysis by social stratification reflects the large health inequities that exist in the older adult population in China.

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