Evidence map›Paper›PMID 34254466›Full record

ArticleCancer medicine2021

Comorbidity, lifestyle factors, and sexual satisfaction among Chinese cancer survivors.

Jingya Wang, Jie Zhao, Chenggang Zhang, Yuxin Zhang, Nan Jiang, Xiaomin Wei, Jiwei Wang, Jinming Yu

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 6 citations in OpenAlex.

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  8. DLKN-MLC: A Disease Prediction Model via Multi-Label Learning.International journal of environmental research and public health · 2022
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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

8 authors at 2 institutions in 2 countries.

Jingya WangKey Lab of Health Technology Assessment of National Health Commission and Key Lab of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, China.ORCID 0000-0002-2527-6121
Jie ZhaoKey Lab of Health Technology Assessment of National Health Commission and Key Lab of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, China.ORCID 0000-0001-6377-8803
Chenggang ZhangShanghai Xuhui Centre for Disease Control and Prevention, Shanghai, China.
Yuxin ZhangKey Lab of Health Technology Assessment of National Health Commission and Key Lab of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, China.
Nan JiangKey Lab of Health Technology Assessment of National Health Commission and Key Lab of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, China.
Xiaomin WeiShanghai Health Promotion Center, Shanghai, China.
Jiwei WangKey Lab of Health Technology Assessment of National Health Commission and Key Lab of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, China.
Jinming YuKey Lab of Health Technology Assessment of National Health Commission and Key Lab of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai, China.
Fudan University · CNNational Health and Family Planning Commission · CN

Funding

Shanghai Public Health Key Discipline Plan 15GWZK1001
6 · The paper itself

Abstract

objectivesThis study aims to explore the prevalence of sexual satisfaction among Chinese cancer survivors, and explore the association of sexual satisfaction with comorbidity and lifestyle factors.

methodsA cross-sectional study was performed among 3996 Chinese cancer survivors recruited at Shanghai Cancer Rehabilitation Club from March to April 2017. Data were collected through self-reported questionnaires. The questionnaire includes information about demographic, cancer characteristics, comorbidities, lifestyle factors, and sexual satisfaction. Sexual satisfaction was measured by a single-item scale. The distribution of sexual satisfaction among different demographic and cancer characteristics was compared using the chi-squared test. Logistic regression models were conducted to assess the effects of lifestyle factors, comorbidities on sexual satisfaction after adjustment for demographic and cancer characteristics.

resultsMore than 40% of male and female cancer survivors reported no sexual satisfaction. Sexual satisfaction of cancer survivors is significantly associated with both the number and the type of comorbidities. Heart disease, musculoskeletal system disease, diabetes, and hyperlipidemia are the comorbidities significantly associated with sexual satisfaction of cancer survivors. Lifestyle factors other than smoking, including exercise or fitness, drinking alcohol, and eating fruits and vegetables are significantly correlated with sexual satisfaction. Besides, all of the above associations show gender differences. In addition, demographic characteristics include sex, age, marital status, living status, and average monthly income are also significantly associated with sexual satisfaction of cancer survivors.

conclusionComorbidity and lifestyle factors are associated with sexual satisfaction of cancer survivors, and the associations show gender differences. Improving the lifestyles of cancer survivors, and controlling and reducing their comorbidities are important for improving their sexual satisfaction.

Indexed as

AdolescentAdultAgedCancer SurvivorsComorbidityCross-Sectional StudiesFemaleHumansLife StyleMaleMiddle AgedSexual BehaviorYoung Adultcancer survivorscomorbiditylifestyle factorssexual satisfaction

Identifiers

PMID34254466
PMCPMC8419754
OpenAlexW3179357491

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.