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Record W2914678978 · doi:10.3390/socsci8020055

Subjective Happiness, Health and Quality of Life and Their Sociocultural Correlates among Younger Population in Malawi

2019· article· en· W2914678978 on OpenAlexaff
Sanni Yaya, Sharmistha Ghosh, Ghose Bishwajit

Bibliographic record

VenueSocial Sciences · 2019
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHappinessPsychosocialLife satisfactionPopulationQuality of life (healthcare)Public healthPsychologySociocultural evolutionGerontologyDemographyMedicineEnvironmental healthSocial psychologySociologyPsychiatry

Abstract

fetched live from OpenAlex

Public health research and policy in sub-Saharan Africa are generally disease-oriented, with the focus being largely confined within the biological determinants of health. So far, little attention has been given to developing a more health-oriented approach by emphasising the psychosocial dimensions of health, especially among the younger population. To this regard, we conducted the present study to assess the prevalence and sociocultural correlates of perceived happiness, health, and life satisfaction among the adolescent and young (15–24 years) population in Malawi. We analysed cross-sectional data on 12,610 men and women based on a Malawi multiple indicator cluster survey conducted in 2013–2014. Data were analysed using descriptive and multivariable regression methods. According to the findings, more than 80% of the men and women reported being satisfied about happiness, health, and life. Multivariate analysis showed an inverse relationship between being currently or formerly married and perceived happiness. Ethnic disparities in perceived health and happiness were more pronounced in men, whereas that of life satisfaction was more pronounced in women. Living in households of the highest wealth quintile was positively associated with health and life satisfaction, but not with happiness. These findings highlight the need for prioritising the psychosocial needs of the adolescent and youth populations in designing health and social policy in Malawi. The findings need to be interpreted in light of the factors specific to the sociocultural environment in Malawi.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.009
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.062
GPT teacher head0.377
Teacher spread0.315 · 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.

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

Citations16
Published2019
Admission routes1
Has abstractyes

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