Evidence map›Paper›PMID 25927037›Full record

ArticleIranian journal of public health2014

Social network size estimation and determinants in tehran province residents.

Mohsen Shati, AliAkbar Haghdoost, Reza Majdzadeh, Kazem Mohammad, SeyedeSalehe Mortazavi

Abstract read
In one paragraph

Article in Iranian journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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.

Mohsen Shati1. Dept. of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences , Tehran, Iran.
AliAkbar Haghdoost2. Research Center for Modeling in Health, Institute for Futures Studies in Health, Kerman University of Medical Sciences , Kerman, Iran.
Reza Majdzadeh1. Dept. of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences , Tehran, Iran.
Kazem Mohammad1. Dept. of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences , Tehran, Iran.
SeyedeSalehe Mortazavi3. Dept. of Health Promotion and Education, School of Public Health, Tehran University of Medical Sciences , Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNetwork scale-up is an indirect method for estimating the size of hidden, hard-to-count or high risk populations. Social network size estimation is the first step in this method. The present study was conducted with the purpose of estimating the social network size of the Tehran Province residents and its determinants.

methodsMaximum Likelihood Estimation was applied to estimate people's network sizes by using populations of known sizes and the scale-up method. Respondents were selected from Tehran province through convenience sampling in 2012. Out of thirteen selected subpopulations with known size, ten had minimum accuracy which used in our analysis.

resultsOf the 1029 respondents in this study, 46.7% were male. The social network size of Tehran Province residents was estimated to be 259.1 (CI95%: 242.2, 276) based on the ten known populations remained in this study. This size was 291.8 in men and 230.4 in women. Younger people (18-25 years old) had larger network sizes compared to the other age groups (P<0.001).

conclusionOur estimation for social network size of Tehran inhabitants was smaller than that previously estimated size for the whole country (c=380). In addition, we found that the social network of subpopulations was different. This difference means that we need local estimations for sub-populations to improve the accuracy of population size estimation using network scale up method.

Indexed as

AcquaintanceHidden populationNetwork scale upPopulation sizeSocial network size

Identifiers

PMID25927037
PMCPMC4411904

What OpenQuestion holds

Textmetadata
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.