Evidence map›Paper›PMID 28496955›Full record

ArticleAddiction & health2016

Estimating the Size and Age-gender Distribution of Women's Active Social Networks.

Maryam Zamanian, Mohammad Reza Baneshi, Ali Akbar Haghdoost, Tayebeh Mokhtari-Sorkhani, Fatemeh Amiri, Farzaneh Zolala

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Article in Addiction & health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 24% of its field
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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Maryam ZamanianPhD Student, Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Mohammad Reza BaneshiAssociate Professor, Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Ali Akbar HaghdoostProfessor, HIV/STI Surveillance Research Center, and WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Tayebeh Mokhtari-SorkhaniMSc Student, Department of Nursing and Midwifery, School of Nursing and Midwifery, Kerman University of Medical Sciences, Kerman, Iran.
Fatemeh AmiriResident, Physiology Research Center AND Department of Obstetrics and Gynaecology, School of Medicine, Kerman University of Medical Sciences, Kerman, Iran.
Farzaneh ZolalaAssociate Professor, HIV/STI Surveillance Research Center, and WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Kerman University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNetwork Scale-up (NSU) method is an indirect method for the estimation of hidden behaviors. In NSU, respondents are asked about the number of members they know from a subpopulation of interest (e.g., injecting drug user) and assume that the prevalence of risky behavior in the networks of a random sample of respondents is similar to that of the population. However, first, we need to identify the total number of people each respondent knows [the social network size (C)]; Moreover, certain risky behaviors happen in particular age and gender groups. Our aim was to determine the size and age-gender distribution of female networks.

methodsThis cross-sectional study was conducted in the city of Kerman, Iran. A total sample of 1275 women was recruited using multistage sampling. In this study, 25 first names were selected as reference groups. Participants were asked how many people they know with the selected names. The respondent's answers were categorized into eight separate age-gender subgroups and C was estimated for each subgroup.

findingsThe results of this study showed that, on average, each Kermanian woman knows about 234 people and about two-thirds of them are female (82 males and 152 females); moreover, participants were more likely to communicate with their peers. The majority of males (88%) known by Kermanian women were in young and middle age groups; in contrast the female young and middle age groups, who are at reproductive age, form only 45% of the female part of their networks.

conclusionWe have seen that the age-gender distribution of the networks is not the same as that of the general population. Our figures can be applied in NSU studies focusing on risky behaviors of particular age and gender groups.

Indexed as

Age-gender distributionIranNetwork Scale-upNetwork sizeWomen

Identifiers

PMID28496955
PMCPMC5422013
OpenAlexW2590805254

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.