Evidence map›Paper›PMID 24915943›Full record

ArticleGlobalization and health2014

'There are a lot of new people in town: but they are here for soccer, not for business' a qualitative inquiry into the impact of the 2010 soccer world cup on sex work in South Africa.

Marlise L Richter, Fiona Scorgie, Matthew F Chersich, Stanley Luchters

Abstract read
In one paragraph

Article in Globalization and health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

4 authors.

Marlise L RichterInternational Centre for Reproductive Health, Department of Obstetrics and Gynaecology, Ghent University, De Pintelaan 185, Ghent 9000, Belgium. Marlise.richter@gmail.com.
Fiona Scorgie
Matthew F Chersich
Stanley Luchters

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSports mega-events have expanded in size, popularity and cost. Fuelled by media speculation and moral panics, myths proliferate about the increase in trafficking into forced prostitution as well as sex work in the run-up to such events. This qualitative enquiry explores the perceptions of male, female and transgender sex workers of the 2010 Soccer World Cup held in South Africa, and the impact it had on their work and private lives.

methodsA multi-method study design was employed. Data consisted of 14 Focus Group Discussions, 53 sex worker diaries, and responses to two questions in surveys with 1059 male, female and transgender sex workers in three cities.

resultsOverall, a minority of participants noted changes to the sex sector due to the World Cup and nothing emerged on the feared increases in trafficking into forced prostitution. Participants who observed changes in their work mainly described differences, both positive and negative, in working conditions, income and client relations, as well as police harassment. The accounts of changes were heterogeneous - often conflicting in the same research site and across sites.

conclusionsNo major shifts occurred in sex work during the World Cup, and only a few inconsequential changes were noted. Sports mega-events provide strategic opportunities to expand health and human rights programmes to sex workers. The 2010 World Cup missed that opportunity.

Indexed as

SoccerAdultFemaleFocus GroupsHumansHuman TraffickingMaleQualitative ResearchSex WorkSex WorkersSouth AfricaYoung Adult

Identifiers

PMID24915943
PMCPMC4099394

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.