Evidence map›Paper›PMID 29678558›Full record

ArticleSexual medicine2018

Influence Factors of Sexual Activity for Internal Migrants in China.

Junguo Zhang, Junqing Wu, Yuyan Li, Ying Zhou, Yiran Li, Rui Zhao, Yuanming Shi, Zheng Li, Wei Huang, Jian Chen

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Sexual medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 1 country.

Junguo ZhangSchool of Public Health, Fudan University, Shanghai, People's Republic of China; Department of Epidemiology and Social Science on Reproductive Health, Shanghai Institute of Planned Parenthood Research/WHO Collaborating Center for Research in Human Reproduction Unit of Epidemiology, Shanghai, People's Republic of China.
Junqing WuDepartment of Epidemiology and Social Science on Reproductive Health, Shanghai Institute of Planned Parenthood Research/WHO Collaborating Center for Research in Human Reproduction Unit of Epidemiology, Shanghai, People's Republic of China. Electronic address: wujq1688@163.com.
Yuyan LiDepartment of Epidemiology and Social Science on Reproductive Health, Shanghai Institute of Planned Parenthood Research/WHO Collaborating Center for Research in Human Reproduction Unit of Epidemiology, Shanghai, People's Republic of China.
Ying ZhouDepartment of Epidemiology and Social Science on Reproductive Health, Shanghai Institute of Planned Parenthood Research/WHO Collaborating Center for Research in Human Reproduction Unit of Epidemiology, Shanghai, People's Republic of China.
Yiran LiDepartment of Epidemiology and Social Science on Reproductive Health, Shanghai Institute of Planned Parenthood Research/WHO Collaborating Center for Research in Human Reproduction Unit of Epidemiology, Shanghai, People's Republic of China.
Rui ZhaoDepartment of Epidemiology and Social Science on Reproductive Health, Shanghai Institute of Planned Parenthood Research/WHO Collaborating Center for Research in Human Reproduction Unit of Epidemiology, Shanghai, People's Republic of China.
Yuanming ShiDepartment of International Cooperation, National Health and Family Planning Commission of People's Republic of China, Beijing, People's Republic of China.
Zheng LiDepartment of Family Planning, Tianjin Central Hospital of Gynecology Obstetric, Tianjin, People's Republic of China.
Wei HuangDahua Hospital, Xuhui District, Shanghai, People's Republic of China.
Jian ChenDahua Hospital, Xuhui District, Shanghai, People's Republic of China.
Shanghai Institute of Planned Parenthood Research · CNDahua Hospital · CNShanghai University of Medicine and Health Sciences · CNFudan University · CNNational Health and Family Planning Commission · CNTianjin Municipal Research Institute for Family Planning · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSexual frequency is associated with the quality of life. China's internal migrants that are sexually active are more likely to participate in sexual behavior. However, less work has been undertaken to assess the sexual frequency and its predictors in migrants.

aimThis study seeks to explore which factors were related to sexual frequency in migrants and how the association varies with different levels of sexual frequency.

methodsA total of 10,834 men and 4,928 women aged 20-49 years from 5 cities in China were enrolled by multi-stage sampling during August 2013-August 2015. OUTCOMES: Sexual frequency among migrants was determined by asking: How many times have you had sexual intercourse with a man/woman in the past 30 days?

resultsIn this study, sexual frequency with an average age of 38.28 years was 5.06 (95% CI 5.01-5.11) time per month. Negative binomial showed that male gender, younger age, earlier age of sexual debut, masturbation, more knowledge of sexual and reproductive health, longer time together with a spouse, and higher school education and incomes were predictors of increased sexual frequency in migrants. Communicating with sexual partners frequently had the largest effect on sexual frequency compared with occasional communicating (β = 0.2419, incidence rate ratio = 1.27, 95% CI 1.23-1.31). In the quantile regression, months of cohabitation (β = 0.0999, 95% CI 0.08-0.12), frequent sexual communication (β = 0.4534, 95% CI 0.39-0.52), and masturbation (β = 0.2168, 95% CI 0.14-0.30) were positively related to lower levels of sexual frequency. Interestingly, migrants who had low and high sexual frequency would be affected in opposite directions by the knowledge of sexual and reproductive health. CLINICAL TRANSLATION: Clinicians can more understand the relationship between sexual frequency and its factors that can as the symptom basis of sexually-related diseases.

conclusionsThe present findings indicate that specific demographic, socioeconomic, and epidemiological characteristics influenced sexual frequency among migrants. Sexual communication as the largest effect predictor to sexual frequency should be paid more attention to, to improve sexual activity of migrants. Zhang J, Wu J, Li Y, et al. Influence factors of sexual activity for internal migrants in China. J Sex Med 2018;6:97-107.

Indexed as

ChinaInfluence FactorsMigrantsQuantile RegressionSexual Activity

Identifiers

PMID29678558
PMCPMC5960034
OpenAlexW2799524143

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.