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Record W2996528948 · doi:10.1016/s2468-2667(19)30244-0

Addressing social inequalities for longevity and living in good health

2019· letter· en· W2996528948 on OpenAlexaff
D. Scott Kehler

Bibliographic record

VenueThe Lancet Public Health · 2019
Typeletter
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsDalhousie University
Fundersnot available
KeywordsLife expectancyGerontologyPublic healthSocial inequalityScopusInequalitySocial determinants of healthMedicinePopulationDemographyCohort studyLife course approachPsychologyMEDLINESociologyPolitical science

Abstract

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Deaths resulting from population ageing have steadily declined, as people live longer with conditions which were historically fatal.1Chang AY Skirbekk VF Tyrovolas S Kassebaum NJ Dieleman JL Measuring population ageing: an analysis of the Global Burden of Disease Study 2017.Lancet Public Health. 2019; 4: e159-e167Summary Full Text Full Text PDF PubMed Scopus (257) Google Scholar However, even in countries with good social circumstances, social inequalities exist that can shorten life expectancy.2Mackenbach JP Valverde JR Bopp M et al.Determinants of inequalities in life expectancy: an international comparative study of eight risk factors.Lancet Public Health. 2019; 4: e529-e537Summary Full Text Full Text PDF PubMed Scopus (67) Google Scholar Whether social inequality will reflect the extent to which longevity can be extended with a lower burden of age-related health problems is uncertain. In The Lancet Public Health, Aline Dugravot and colleagues3Dugravot A Fayosse A Dumurgier J et al.Social inequalities in multimorbidity, frailty, disability, and transitions to mortality: a 24-year follow-up of the Whitehall II cohort study.Lancet Public Health. 2019; (published online Dec 11)https://doi.org/10.1016/S2468-2667(19)30226-9Summary Full Text Full Text PDF PubMed Scopus (77) Google Scholar evaluate whether social inequalities in mortality among people living in a high-income country are related to social patterns in the onset of health problems. They analysed the UK Whitehall II longitudinal cohort (with a median follow-up period of 23·6 years) to study whether social inequalities in education, occupational position, and health literacy were related to developing multimorbidity, disability, and frailty, and consequent death in 6425 healthy adults who were 50 years old at the start of follow-up. As might be expected, multimorbidity (HR 4·12 [95% CI 3·41–4·98), physical frailty (HR 2·38 [95% CI 1·93–2·93), and disability in at least two activities of daily living (HR 1·73 [95% CI 1·34–2·22]) increased the risk of mortality. However, three findings from the analysis by Dugravot and colleagues stand out. First, people at the lowest level of occupation, such as clerical or support grades, were more likely to develop multimorbidity (HR 1·54 [95% CI 1·37–1·73]), frailty (HR 2·08 [95% CI 1·85–2·33]), or disability (HR 1·44 [95% CI 1·18–1·74]) at the highest level of occupation (eg, administrative grades). Low education or literacy level also increased the risk of transitioning to a worse health state (except education for transitioning from healthy to frail), but to a lesser extent than occupational status. Second, social inequalities only increased mortality risk in people who died before their health state worsened. Lastly, when individuals did develop one of the three worse health states, social inequalities did not modify mortality risk. The study by Dugravot and colleagues3Dugravot A Fayosse A Dumurgier J et al.Social inequalities in multimorbidity, frailty, disability, and transitions to mortality: a 24-year follow-up of the Whitehall II cohort study.Lancet Public Health. 2019; (published online Dec 11)https://doi.org/10.1016/S2468-2667(19)30226-9Summary Full Text Full Text PDF PubMed Scopus (77) Google Scholar demonstrates the need for public health initiatives to respond to social inequalities, even in high-income countries, before individuals develop health problems of ageing. Aligning potential strategies that overlap in addressing social inequalities, including smoking, low income, and high bodyweight, with global strategies to reduce mortality risk, such as the WHO 25 × 25 initiative to address seven risk factors for non-communicable disease (tobacco use, physical inactivity, harmful alcohol consumption, elevated blood pressure, sodium intake, diabetes, and obesity), would be of great interest.2Mackenbach JP Valverde JR Bopp M et al.Determinants of inequalities in life expectancy: an international comparative study of eight risk factors.Lancet Public Health. 2019; 4: e529-e537Summary Full Text Full Text PDF PubMed Scopus (67) Google Scholar, 4Stringhini S Carmeli C Jokela M et al.Socioeconomic status and the 25 × 25 risk factors as determinants of premature mortality: a multicohort study and meta-analysis of 1·7 million men and women.Lancet. 2017; 389: 1229-1237Summary Full Text Full Text PDF PubMed Scopus (582) Google Scholar Dubravot and colleagues3Dugravot A Fayosse A Dumurgier J et al.Social inequalities in multimorbidity, frailty, disability, and transitions to mortality: a 24-year follow-up of the Whitehall II cohort study.Lancet Public Health. 2019; (published online Dec 11)https://doi.org/10.1016/S2468-2667(19)30226-9Summary Full Text Full Text PDF PubMed Scopus (77) Google Scholar also show that the number of adverse health states present are important in ageing. They compared groups of people who had one, two, or three adverse health states (multimorbidity, frailty, and disability); although they found no evidence of a stronger effect of social inequality on mortality with a higher number of adverse health conditions, the cumulative effect of adverse health conditions on mortality was notable. Compared with healthy individuals, those with one (HR 2·38 [95% CI 1·93–2·93]), two (HR 1·73 [95% CI 1·34–2·22]), or three adverse health conditions (HR 4·55 [95% CI 3·67–5·65]) had higher mortality, which illustrates the interplay and complexity of age-related health problems in longevity. Although these conditions are important in ageing, other salient problems, whether observed or subclinical, contribute to living in good health. Health in ageing can alternatively be quantified with a frailty index,5Mitnitski AB Mogilner AJ Rockwood K Accumulation of deficits as a proxy measure of aging.ScientificWorldJournal. 2001; 1: 323-336Crossref PubMed Scopus (1482) Google Scholar which measures susceptibility to poor health outcomes using a set of physical, psychological, and social variables, which include cognition, signs, symptoms, and biomarkers, as well as chronic diseases, physical frailty, and disability. Frailty measured as an accumulation of deficits can grade an individual's risk of death6Kojima G Iliffe S Walters K Frailty index as a predictor of mortality: a systematic review and meta-analysis.Age Ageing. 2018; 47: 193-200Crossref PubMed Scopus (312) Google Scholar or requirement for intensive health care.7Gilbert T Neuburger J Kraindler J et al.Development and validation of a Hospital Frailty Risk Score focusing on older people in acute care settings using electronic hospital records: an observational study.Lancet. 2018; 391: 1775-1782Summary Full Text Full Text PDF PubMed Scopus (491) Google Scholar Although health deficits commonly accumulate with old age, frailty remains treatable and might be reversable.8Mitnitski A Song X Rockwood K Trajectories of changes over twelve years in the health status of Canadians from late middle age.Exp Gerontol. 2012; 47: 893-899Crossref PubMed Scopus (50) Google Scholar However, interventions to date are scarce.9Dent E Martin FC Bergman H Woo J Romero-Ortuno R Walston JD Management of frailty: opportunities, challenges, and future directions.Lancet. 2019; 394: 1376-1386Summary Full Text Full Text PDF PubMed Scopus (395) Google Scholar More compelling evidence is required on policies or interventions that address social inequalities and health problems of ageing to prolong lifespans and reduce time spent in ill health. Initiatives are likely to be needed at all levels of health care to address the needs of the increasingly ageing population, who could experience high degrees of frailty.10Hoogendijk EO Afilalo J Ensrud KE Kowal P Onder G Fried LP Frailty: implications for clinical practice and public health.Lancet. 2019; 394: 1365-1375Summary Full Text Full Text PDF PubMed Scopus (758) Google Scholar I declare no competing interests. Social inequalities in multimorbidity, frailty, disability, and transitions to mortality: a 24-year follow-up of the Whitehall II cohort studySocioeconomic status affects the risk of multimorbidity, frailty, and disability, but does not affect the risk of mortality after the onset of these adverse health conditions. Therefore, primary prevention is key to reducing social inequalities in mortality. Of the three adverse health conditions, multimorbidity had the strongest association with mortality, making it a central target for improving population health. Full-Text PDF Open AccessA public health prescription for the UK GovernmentOn Dec 12, the people of the UK voted and elected a Conservative party government for the next 5 years. The Conservative party's biggest electoral victory since the 1980s, predominantly based on the promise to “get Brexit done”, raises a number of questions about the UK's future. Full-Text PDF Open Access

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.339
GPT teacher head0.424
Teacher spread0.084 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations24
Published2019
Admission routes1
Has abstractyes

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