There are many recent observational studies on smoking and risk of erectile dysfunction (ED) and whether smoking increases the risk of ED is still inconclusive. The objective of this meta-analysis was to synthesize evidence from studies that evaluated the association between smoking and the risk of ED.
We searched PubMed, Embase, Web of Science, and Scopus in January 2013 to identify cohort and case-control studies that evaluated the association between smoking and ED. Study quality of included studies was assessed by the Newcastle-Ottawa scale. Random-effects meta-analyses were used to combine the results of included studies.
Four prospective cohort studies and four case-control studies involving 28, 586 participants were included. Because of significant heterogeneity after including case-control studies in meta-analysis, the consistent results of prospective cohort studies were considered more accurate, Because of significant heterogeneity after including case-control studies in meta-analysis, the consistent results of prospective cohort studies were considered more accurate, Compared with non-smokers, the overall odd ratio of ED in prospective cohort studies was 1.51(95% CI: 1.34 to 1.71) for current smokers, and it was 1.29 (95% CI: 1.07 to 1.47) for former smokers. Evidence of publication bias was not found.
Evidence from epidemiological studies suggests that smoking, especially current smoking, may significantly increase the risk of ED
Citation: Cao S, Yin X, Wang Y, Zhou H, Song F, et al. (2013) Smoking and Risk of Erectile Dysfunction: Systematic Review of Observational Studies with Meta-Analysis. PLoS ONE 8(4): e60443. doi:10.1371/journal.pone.0060443
Editor: Hamid Reza Baradaran, Tehran University of Medical Sciences, Iran (Islamic Republic of)
Received: November 8, 2012; Accepted: February 25, 2013; Published: April 3, 2013
Copyright: © 2013 Cao et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: The authors have no support or funding to report.
Competing interests: The authors have declared that no competing interests exist.
Erectile dysfunction (ED), defined as the inability to attain and/or maintain penile erection , is common and increases as men age . A number of risk factors are associated with ED, including psychological, neurological, endocrine, vascular, traumatic or iatrogenic causes . Results of some epidemiological studies suggested that smoking, one of the world's greatest public health problems , may be related to the increased risk of ED in men.
In 2001, a meta-analysis  of 19 studies suggested a difference of 12.4% in the proportion of smokers between impotent men (40.1%) and general population (27.7%). Of note, in this meta-analysis the included studies were all conducted in the United State of America and the control group was drawn from the general population rather than from a group of men known to be free of ED. Additionally, majority of these studies were cross-sectional studies. We know that the strength of cross-sectional studies examining the association between a potential risk factor and a disease is very limited. In recent years, some cohort studies and case-control studies in various countries that examined the association between smoking and risk of ED have been published.
With accumulating evidence worldwide, we conducted a meta-analysis of cohort studies and case-control studies to evaluate the association between smoking and risk of ED in adult men.
We followed the Meta-Analysis of Observational Studies in Epidemiology  guidelines to report the present meta-analysis. We searched PubMed, Embase, Web of Science, and Scopus in January 2013 to identify cohort and case-control studies that investigated the association between smoking and risk of ED. The following search terms were used: (1) smoking, tobacco, or risk factors; and (2) erectile dysfunction, sexual dysfunction, or impotence. In addition, we checked the reference lists of retrieved papers and reviews. Search S1 shows the literature strategies used.
We first performed an initial screening of titles or abstracts to identify possibly relevant studies. Then we examined the full texts of studies identified based on titles and abstracts. Studies were considered eligible if they met the following criteria: (1) use of an cohort or case-control study design, (2) provision of sufficient data for calculating the association between smoking and ED in men aged older than 18, and (3) The ascertainment of ED was based on international index of erectile function (IIEF-5) Questionnaire or other self-designed questionnaires similar IIEF-5.
For every eligible study, we collected detailed information on country or region of study, study design, age of study population, sample size, source of participants, definition or measurement of ED, confounders adjusted for, effect sizes, and 95% CIs or standard errors of effect sizes. Data were extracted independently by two of the investigators, and differences were resolved by discussion with a third author.
Study quality assessment
We assessed the quality of all included studies by the Newcastle-Ottawa scale . A quality score was calculated based on three major components: (1) selection of the groups of study, (2) comparability, (3) Assessment of the outcome or exposure. The maximum score could be 9 points, representing the highest methodological quality.
Odds ratio (OR) was used as the common measure of the association between smoking and risk of ED across studies. For current smokers, or former smokers, we calculate the pooled ORs compared with never smokers. Former smokers are those who used to smoke before but don't smoke now.
Heterogeneity of ORs across studies was tested by using the Q statistic (significance level at p<0.10). The I2 statistic, which is a quantitative measure of inconsistency across studies , was also calculated. We calculated an overall pooled OR using random effects model for the main analysis . A p value<0.05 was considered statistically significant for the estimated ORs.
We conducted subgroup analyses to explore heterogeneity, across studies and the difference between subgroups was tested by meta-regression analysis (using STATA ‘metareg’ command) Potential publication bias was assessed by visual inspection of funnel plots in which the log ORs were plotted against their standard errors . We also performed Egger' test of funnel plot asymmetry at the p<0.10 level of significance . All analyses were performed using STATA version 11.0 (StataCorp LP, College Station Texas).
We initially retrieved 3494 unique citations from PubMed, Embase, Web of Science, and Scopus in January 2013. Of these, the majority were excluded after the first screening based on abstracts or titles, because they were not relevant or they were reviews or cross section studies. By examining the full-texts of 40 papers, we excluded 32 studies because association of interest was not evaluated, requested data were not reported, , of duplicate papers of the same studies, or study design was cross-sectional. Finally, eight studies were included in our meta-analysis –. Figure 1 shows the process of the study selection.
Figure 1. Flow Chart of Study Selection.doi:10.1371/journal.pone.0060443.g001
The main characteristics of the eight observational studies are presented in Table 1. These studies were published between 2000 and 2010. There were four case-control studies and four cohort studies. Of these studies, three were conducted in the United States, two in Egypt, one in Brazil, Jamaica, and Finland. Sample sizes ranged from 333 to 22,086 (total 28,586). Measurement of smoking was obtained by questionnaires in all the included studies. The ascertainment of ED varied across studies, with three based on international index of erectile function (IIEF-5) Questionnaire, one based on clinical diagnosis, one base on The Brief Male Sexual Function Inventory, and three based on other self-designed questionnaires. The risk of ED for current smokers was reported in all eight studies, and the risk of ED for former smokers was reported in only four of them. Estimation of ORs was not adjusted for confounding variables in one study. The number of confounding variables adjusted was only two (Hypertension and diabetes mellitus) in a study, and four or more variables were adjusted in the remaining studies. The quality of included studies was moderate or good, varying from five to eight points. (See Table S1).
Table 1. Characteristics of Included Studies.doi:10.1371/journal.pone.0060443.t001
Main results of meta-analysis
Current smoking and risk of ED.
Two of the four cohort studies and three of the four case-control studies reported statistically significant association between current smoking and the risk of ED (Figure 2). The combined OR was 1.15 (95% CI: 1.34 to 1.71) for prospective cohort studies, and it was 2.14 (95% CI: 1.35 to 3.38) for case-control studies. Heterogeneity in results was not significant across prospective cohort studies (I2 = 0.0%; P = 0.84), but it was statistically significant across case-control studies (I2 = 69.2%; P = 0.021).
Figure 2. Current Smoking and Risk of ED.doi:10.1371/journal.pone.0060443.g002
Ex-smoking and risk of ED.
Based on data from three prospective cohort studies, the combined OR for ex-smokers was 1.20 (95% CI: 1.11 to 1.30), and there was no significant heterogeneity across studies (Figure 3). The association between ex-smoking and ED was reported in only one of the four case-control studies.
Figure 3. Ex-smoking and Risk of ED.doi:10.1371/journal.pone.0060443.g003
Results of Subgroup analysis and sensitivity analyses
Subgroup analysis by study design showed that ORs estimated by cohort studies tended to be smaller and more consistent than the results of case-control studies (Figure 2 and Figure 3). For the association between current smoking and the risk of ED, the difference in results between cohort studies and case-control studies was considerable (P = 0.092).
A meta-regression analysis found that the number of covariates adjusted in analysis was not associated with the estimated OR (P = 0.623). However, subgroup analysis based on adjustment of confounders showed that the pooled OR for studies with adjustment for two or less covariates was bigger than that for studies with adjustment for three or more important covariates (3.04[95% CI: 2.45 to 3.79] vs. 1.52[95% CI: 1.35 to 1.71]). These two subgroup both did not show substantial heterogeneity (p = 0.534, I2 = 0.0% and p = 0.572, I2 = 0.0%). The difference in results between the two subgroups was statistically significant (P = 0.017).
Subgroup analysis based on the assessment method of ED suggested that the pooled OR for studies that assessed ED using IIEF 5 Questionnaire, the Brief Male Sexual Function Inventory, or clinical diagnosis was 1.98 (95% CI: 1.31 to 2.99) with substantial heterogeneity (p = 0.009, I2 = 70.3%) and the pooled OR for studies that assessed ED based on self-design questionnaire was 1.51 (95% CI: 1.33 to 1.71) without heterogeneity (p = 0.658, I2 = 0.0%).
In a univariate meta-regression analysis, it was found that a higher quality score was associated with a smaller OR (P = 0.051).
Visual inspection of the funnel plot did not identify substantial asymmetry (see Figure S1). The test of funnel plot asymmetry indicated no evidence of publication bias among studies of current smoking and ED risk (Egger' test P = 0.866).
This systematic review included four perspective cohort studies and four case-control studies involving 28,842 participants. In this meta-analysis, the results of the included case-control studies were significantly heterogeneous and may have over-estimated the association between smoking and ED. Therefore, we consider the consistent results of prospective studies are more accurate. The results from prospective cohort studies suggested that the risk of ED was increased by 51% for current smokers and 20% for ex-smokers, as compared with never-smokers. The results also suggested that the increased risk of ED associated with smoking may decrease after stopping smoking.
There were considerable differences in characteristics of populations, study design, ascertainment of ED, and adjustment for confounding factors (see Table 1). Heterogeneity is often a concern in meta-analysis. For analyzing the association between current smoking and ED, heterogeneity was statistically significant when cohort studies and case-control studies were combined, although heterogeneity was non-significant across prospective cohort studies (Figure 2). In addition, the results of subgroup analyses suggested that the number of covariates adjusted and study quality may also be important variables associated with heterogeneity across studies.
The present study has the following limitations. First, we did not include cross-sectional studies that reported association between smoking and ED, due to resource limitations and the methodological weaknesses of the design. Secondly, methods used to diagnose ED were different across the included studies. Only three of the included studies usedIIEF-5 questionnaire, although it is an internationally recognized tool to diagnose ED. Some studies assessed ED by clinical diagnosis or other self-design questionnaire. Third, possible confounding effects were adjusted differently in the included studies, and it was unclear about what covariates should be adjusted in analyses and whether the adjusted ORs were actually more valid than the unadjusted estimates.
In summary, it may be concluded that the risk of ED is higher in current and former smokers than never smokers, although smoking cessation may be associated with a lower risk of ED than current smoking.
Literature search strategy.
Study quality of included studies based on the Newcastle-Ottawa scale.
Funnel plot of the meta-analyses of current smoking and risk of ED.
Conceived and designed the experiments: ZL SC. Performed the experiments: FS SC XY HZ YW. Analyzed the data: SC ZL FS. Wrote the paper: SC.
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