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Record W2111565572 · doi:10.14301/llcs.v3i3.178

Life course influences on quality of life at age 50 years: evidence from the National Child Development Study (1958 British birth cohort study)

2012· article· en· W2111565572 on OpenAlexaff
David Blane, Elizabeth Webb, Morten Wahrendorf, Gopalakrishnan Netuveli

Bibliographic record

VenueLongitudinal and Life Course Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsCanadian Society for International Health
FundersEconomic and Social Research Council
KeywordsLife course approachCASPQuality of life (healthcare)PsychologyProspective cohort studyPath analysis (statistics)GerontologyDemographyLongitudinal studyCohort studyNational Child Development StudyDevelopmental psychologyMedicineMillennium Cohort Study (United States)Sociology

Abstract

fetched live from OpenAlex

The objectives of this study were to investigate whether prospective data reveal life course influences on quality of life at older ages; to establish a baseline for the evolution of quality of life through the Third Age; and to estimate the relative importance of direct and indirect effects in these life course relationships. We used the age 50 years sweep of the National Child Development Study (1958 British birth cohort study) that included the CASP measure of positive quality of life at older ages, allowing prospective path analysis of life course influences on quality of life at the start of the Third Age. We found that material (social class; deprivation) and psycho-social (family conflict; family fracture) circumstances in childhood and adulthood were linked using path analysis to CASP scores at age 50 years. The strength of these relationships was modest; and their influence was primarily indirect via well-recognised contemporaneous factors. Prospective data revealed life course influences on quality of life at the start of the Third Age. We conclude that the influence of these longitudinal factors is weak in comparison with that of contemporaneous circumstances. In this respect quality of life differs from health.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.145
GPT teacher head0.419
Teacher spread0.274 · 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 designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2012
Admission routes1
Has abstractyes

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