Meta-Analysis the Effects of Social Isolation and Loneliness on Cardiovascular Disease and Death in Elderly
Bibliographic record
Abstract
Background: The impact of social isolation and loneliness on health and well-being is recognized globally as a public health problem. Social isolation can be experienced at any age, especially the elderly. This study aims to analyze and estimate the influence of social isolation and loneliness on cardiovascular disease and death in the elderly.Subjects and Method: The meta-analysis was carried out according to the PRISMA flow chart and the PICO model. P: Elderly, I: Social isolation and loneliness, C: Not social isolation and not lonely, O: Cardiovascular disease and death. Search for articles in this study through databases that include PubMed, Google Scholar, Science Direct and Scopus with keywords "social isolation" AND "loneliness" AND "cardiovascular disease" AND "elderly". “Social isolation” AND “loneliness” AND “mortality” AND “elderly”. Full paper article with cohort design, adjusted Hazard Ratio for effect size, research outcome are cardiovascular disease and death. Analysis was performed using Revman 5.3.Results: There were 18 articles with cohort designs originating from America, Finland, Canada, Tai-wan, Australia, the United States, Japan, Denmark, Amsterdam, England, Sweden, Jerusalem, Europe with a total of 1,375,816 research samples. A meta-analysis of 13 cohort studies concluded that seniors who were socially isolated had a 1.23 times the risk of developing cardiovascular disease compared to those who were not socially isolated, and the effect was statistically significant (aHR= 1.23; 95% CI= 1.10 to 1.38; p= 0.003). In addition, the elderly who are socially isolated have a risk of dying 1.16 times compared to those who are not socially isolated, and this effect is statistically significant (aHR= 1.16; 95% CI= 1.07 to 1.21; p= 0.003). A meta-analysis of 13 cohort studies concluded that lonely elderly people had a 1.10 times greater risk of developing cardiovascular disease compared to lonely people, and the effect was statistically significant (aHR= 1.10; 95% CI= 1.01 to 1.20; p= 0.003). In addition, lonely elderly people have a risk of dying 1.19 times compared to being lonely, and the effect is statistically significant (aHR= 1.19; 95% CI= 1.02 to 1.39; p= 0.002).Conclusion: Social isolation and loneliness increase the risk of cardiovascular disease and death in elderly. Keywords: social isolation, loneliness, cardiovascular, death, elderly. Correspondence:Ayu Novita Wulandari. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta, Jawa Tengah. Email: ayunovitawulandari98@gmail.com. Mobile: +6282281301325.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".