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Record W7131196809

Efeito protetor da atividade física nos sintomas depressivos em idosos: Revisão Sistemática e Meta-Análise

2021· dissertation· pt· W7131196809 on OpenAlexaboutno aff
André Filipe Câmara Jorge

Bibliographic record

VenueOpen Repository of the University of Porto (University of Porto) · 2021
Typedissertation
Languagept
FieldSocial Sciences
TopicPhysical Education and Gymnastics
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Function (biology)Limiting
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Population aging and high life expectancy are a problem in current times, with increasing importance being given to maintaining a good quality of life during aging, including not only physical aspects, but also mental health.Depression is an important mental health problem in the elderly, which often goes by untreated, or is treated only with medication.Physical activity has been gradually gaining importance, not only as a form of treatment, but also as prevention for this type of symptoms.However, physical activity has not yet been consistently established in protocols for the prevention of depressive symptoms.Thus, to synthetize the findings in longitudinal studies, we proposed to write a systematic review and meta-analysis, in order to verify if physical activity prevents depressive symptoms in the elderly, and what are the best physical activity levels to achieve this effect.Methods: Potential studies were searched on Pubmed, Scopus and Ebsco between January the 13 th and the 27 th of 2021.Demographic data, data on physical activity and depressive symptoms assessment, and odds ratio with 95% confidence intervals were extracted.Random-effects meta-analysis and a sensitivity analysis were conducted, and the potential sources of heterogeneity were explored using Open Meta-Analyst.Study quality was assessed using the Newcastle-Ottawa Scale.Results: From 2812 studies found, a total of 12 prospective studies were eligible for data extraction, with a total sample of 3987 participants.We found that those engaged in physical activity had lower odds of developing depressive symptoms (OR=0.69,95% CI=0.59, 0.81, p<0.01;I=69.95%) in the long term when compared to inactive participants or those with low physical activity.On the other hand, we also found that moderate physical activity levels (OR=0.51,95% CI=0.33, 0.79, p<0.01;I=0%) seem to be more effective in reducing the odds having depressive symptoms than high levels (OR=0.43,95% CI=0.18, 1.04, p=0.06;I=75.98%,Heterogeneity p value=0.02).Despite this, heterogeneity was high, however the use of valid physical activity questionnaires, moderate level of VII physical activity and studies in East asian culture were of non-significant heterogeneity. Conclusion:The results suggest that being active reduces the odds of developing depressive symptoms in the elderly, so the development and promotion of regular PA programs in this population are of vital importance in preventing this increasingly common disorder.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0040.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.292
Teacher spread0.241 · 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 designQualitative
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

Citations0
Published2021
Admission routes1
Has abstractyes

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