Evidence map›Paper›PMID 28713500›Full record

ArticleElectronic physician2017

The social network among the elderly and its relationship with quality of life.

Fatemeh Bahramnezhad, Raheleh Chalik, Farideh Bastani, Masoumeh Taherpour, Elham Navab

Abstract read
In one paragraph

Article in Electronic physician, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Validation of Expanded form of Lubben Social Network Scale among Community-Dwelling Geriatric Population in India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Fatemeh BahramnezhadPh.D. of Nursing, Assistant Professor, Department of Critical Care Nursing, Faculty of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
Raheleh ChalikM.Sc., Department of Geriatric Nursing, Faculty of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
Farideh BastaniPh.D. of Nursing, Associate Professor, Department of Geriatric Nursing, Faculty of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran.
Masoumeh TaherpourM.Sc. in biostatistics, Faculty of Biostatistics, North Khorasan University of Medical Sciences, Bojnoord, Iran.
Elham NavabPh.D. of Nursing, Assistant Professor, Head of Department of Geriatric and Critical Care Nursing, Faculty of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAttention to the needs of the elderly is a social necessity, and it seems that evaluating the social network and quality of life of the elderly can be useful in a better understanding of their needs. This study was performed to determine the relationship between the social network and the quality of life of the elderly in the city of Bojnoord in Iran.

methodsIn this cross-sectional study, 201 elderly people aged 60 years or more were selected by continuous and consecutive sampling method in Bojnoord, Iran in 2014. Data were collected using demographic questionnaire, Lubben social network scale and LEIPAD elderly quality of life questionnaire. Data were analyzed by SPSS 16 and using descriptive statistics and independent-samples t-test, ANOVA and Pearson product-moment coefficient.

resultsThe results showed that 30.3% of elderly people studied, were subjected to a high risk of isolation. The highest mean in social network dimensions was in the family (19.68%), friends (12.01%) and the neighbors (9.90%), respectively. The mean score for quality of life of the elderly was as moderate to high (63.90±13.73), and among the quality of life dimensions, the highest mean was related to the self-care dimension (15.59%), and the lowest mean was related to the sexual functioning dimension (1.53%). The findings suggested a positive and significant relationship between social network and quality of life in the elderly who were studied (p<0.000, r=0.468).

conclusionThis study was a step toward understanding the social network status and quality of life of the elderly. It is necessary to say that health care professionals, especially nurses, display a significant role in the community to help people in this regard.

Indexed as

AgingElderlyIranQuality of lifeSocial network

Identifiers

PMID28713500
PMCPMC5498693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.