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Record W3113216114 · doi:10.5539/gjhs.v13n1p89

Happiness, Subjective Well-Being, and Life Satisfaction: A Compared Study between Long-Lived Elderly People in Northeast and Southeast Brazil

2020· article· en· W3113216114 on OpenAlexvenueno aff
Raisa Fernandes Mariz Simões, Júlia Cristina Leite Nóbrega, Juliana Magalhães Machado Barbosa, Tácila T. M. Santos, Ricardo Alves de Olinda, Tarciana Nobre de Menezes, Yeda A. O. Duarte, Mayana Zatz, Leandro Ucela Alves, Silvana Santos

Bibliographic record

VenueGlobal Journal of Health Science · 2020
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsnot available
FundersPró-Reitoria de Pesquisa, Universidade Federal do Rio Grande do SulConselho Nacional de Desenvolvimento Científico e TecnológicoUniversidade Estadual da ParaíbaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Apoio à Pesquisa do Estado da ParaíbaFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsHappinessLife satisfactionFeelingSubjective well-beingPsychologySocial supportGerontologyOlder peopleFace (sociological concept)Well-beingElderly peopleMedicineSocial psychologySociology

Abstract

fetched live from OpenAlex

This cross-sectional study aims to investigate and compare factors associated with happiness, subjective well-being, and life satisfaction in elderly people aged 80 and older in two different regions of Brazil. Face-to-face interviews were performed with 417 Brazilians aged 80 years and older, 179 from Northeast and 238 from the Southeast. The prevalence of feelings of happiness, subjective well-being, and overall life satisfaction were very similar for the older elderly in both regions. While in the Southeast, the predictive factors were literacy, higher income, and better economic situation, with many elderly people living alone; in the Northeast, the affective ties with more people seem to predominate, as well as having a more frequent and diverse support network, and practice leisure activities. Our findings support a view of social bonds and family support enables the older elderly people to feel more satisfied with life, performing activities that bring happiness and subjective well-being.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.356
Teacher spread0.320 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2020
Admission routes1
Has abstractyes

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