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BMJ Open logoLink to BMJ Open
. 2013 Jan 25;3(1):e002223. doi: 10.1136/bmjopen-2012-002223

Semen quality of fertile Japanese men: a cross-sectional population-based study of 792 men

Teruaki Iwamoto 1,2, Shiari Nozawa 1, Miki Yoshiike 1, Mikio Namiki 3, Eitetsu Koh 3, Jiro Kanaya 3, Akihiko Okuyama 4, Kiyomi Matsumiya 4, Akira Tsujimura 4, Kiyoshi Komatsu 5, Taiji Tsukamoto 6, Naoki Itoh 6, Makiko Naka Mieno 7, Matti Vierula 8, Jorma Toppari 8, Niels E Skakkebæk 9, Niels Jørgensen 9
PMCID: PMC3563117  PMID: 23355656

Abstract

Objectives

To establish a base line for future studies on temporal trends, to describe potential geographical differences in semen quality and reference values for studies of men from the general population.

Design

Cross-sectional study of fertile men from four areas in Japan. Inclusion criteria were: age 20–45 years at the time of invitation, and both the man and his mother had to be born in Japan. Additionally, the current pregnancy of the female partner had to be achieved by normal sexual relations without any fertility treatment.

Setting

Four Japanese study centres at urban areas located in Sapporo, Osaka, Kanazawa and Fukuoka.

Participants

792 men, median age 31.4 years, included from 1999 to 2002.

Outcome measures

Semen volume, sperm concentration, total sperm count, sperm motility and sperm morphology.

Results

Semen volumes, percentages of motile spermatozoa and morphologically normal spermatozoa differed slightly between the four groups, whereas no differences in sperm concentrations or total sperm counts were found. In total, 1.2% of men had a sperm concentration below 5 million/ml, 2.1% below 10 million/ml, 3.5% below 15 million/ml and 16.3% below 40 million/ml. For morphology, 14.7% had less than 5% normal spermatozoa. Reproductive hormone levels varied significantly, however, only little from a biological point of view.

Conclusions

This is the first cross-sectional study on semen quality covering fertile men from the major regions of Japan. It showed that semen quality of fertile Japanese men is comparable to that of the best in European regions. The results may serve as reference values for studies of men from the general population.


Article summary.

Article focus

  • During the recent 20 years, several international studies on semen quality in fertile human populations have been published. However, only a single Japanese study of men from the Tokyo metropolitan area has been carried out. These men had relatively low sperm counts.

  • Semen quality of fertile men from four other areas in Japan were investigated in order to elucidate potential geographical differences in semen quality and to provide a baseline for future studies on temporal trends and reference values for studies of men from the general population.

Key messages

  • This is the first cross-sectional study on semen quality covering fertile men from the major regions of Japan.

  • Only minor regional differences were detected between men from the four investigated regions.

  • Only 3.5% had sperm concentrations below the current WHO reference level of 15 million/ml.

  • Semen quality varied, but overall it was comparable to that of men from European regions with the best semen quality.

Strengths and limitations of this study

  • Large prospective study of semen quality among fertile Japanese men.

  • Standardised inclusion criteria and investigation procedures.

  • Lack of influence of ethnicity and genetic background on semen quality.

  • Limitation is the relatively low participation rate, that is, common to all semen studies.

Introduction

Trends in semen quality have been intensively discussed since the meta-analysis by Carlsen et al1 provided evidence for a possible decline over a 50-year period. Retrospective analyses of laboratory semen records indicated deterioration in many but not all study centres: a decrease in semen quality has been reported from different regions including Belgium,2 Canada,3 China,4 Finland,5 France,6 Greece,7 Italy,8 Norway,9 Scotland,10 the USA11 12 and the UK13; no change has been reported from regions including China,14 Denmark,15 Finland,16 17 France,18 Israel19 and the USA.20 In addition, these publications pointed to regional differences in semen quality, which now have been corroborated by several prospectively designed and quality controlled studies.12 21–23 A recent prospective study showed a declining trend in semen quality in Finland since 1997,23 although previous retrospective analyses showed no change.17

Most of the previously published cross-sectional semen studies originated from Europe or the USA.12 21 22 Some studies involved young men from the general population as study subjects, whereas others investigated partners of pregnant women (ie fertile men). To our knowledge, there has only been one study of fertile Japanese men that allowed for a comparison between European and Japanese results.24 In the study from Kawasaki adjacent to Tokyo in the central part of Japan, the participants had similar semen quality to Danish men who had the lowest sperm counts when men from Denmark, France, Scotland and Finland were compared24 in a joint study.21

To further characterise the semen quality of Japanese fertile men, we therefore undertook cross-sectional studies of fertile men from four cities in Japan. These studies followed the same protocol as that used in the previous study.21 24 Our aim was to establish a baseline for future studies on temporal trends, to describe potential geographical differences in semen quality, and reference values for studies of men from the general population in Japan.

Methods

The investigation of male partners of pregnant women took place in four study centres placed in the urological units of the university hospitals in Sapporo, Osaka, Kanazawa and Fukuoka, which are geographically different provinces in Japan. The investigation procedures described below were the same as those of the previously published Japanese study24 and European studies,21 22 except for the assessment of semen volume.

Study population

When pregnant women attended the antenatal care clinics located in urban areas during the gestational weeks 8–12, they were approached by study nurses who invited the husbands of the women to participate in the semen quality study. The inclusion criteria for the men were as follows: age 20–45 years at the time of invitation, residence in the local area surrounding the clinic at which he was recruited, and both the man and his mother had to be born and live in Japan. In addition, the current pregnancy of the female partner had to be achieved by normal sexual relations and not as a result of fertility treatment. Cryptorchidism, orchitis, epididymitis, genital tract surgery (including varicocelectomy), chemotherapy, radiotherapy or chronic illness, previous treatment for infertility or reduced fertility, unwanted pregnancy or prolonged time to pregnancy were not criteria for exclusion. Characteristics of the study populations are given in table 1. The inclusion period in each centre was May 2000 to January 2002 in Sapporo, March 1999 to February 2002 in Osaka, January 1999 to October 2001 in Kanazawa and October 1999 to April 2001 in Fukuoka. A total of 6846 fertile men were invited and 792 participated. Participation rates were 18.8% (206/1096) for the men in Sapporo, 8.8% (250/2844) in Osaka, 16% (233/1455) in Kanazawa and 7.1% (103/1451) in Fukuoka. According to the time to pregnancy data that was available from 523 couples, except for those from Sapporo, the pregnancy had been conceived in 87.4% in less than or equal to 12 months.

Table 1.

Physical appearance and self-reported information of fertile men from four cities in Japan

Entire study population (n=792)
Sapporo (n=206)
Osaka (n=250)
Kanazawa (n=233)
Fukuoka (n=103)
Mean (SD) Median (5–95) Mean (SD) Median (5–95) Mean (SD) Median (5–95) Mean (SD) Median (5–95) Mean (SD) Median (5–95) p Values
Height (cm) 172 (6) 172 (163–180) 171 (5) 171 (162–180) 172 (6) 172 (162–182) 172 (5) 172 (163–180) 172 (5) 171 (165–180) 0.6*
Weight (kg) 69 (10) 68 (55–85) 68 (10) 67 (54–87) 69 (10) 68 (55–85) 68 (10) 67 (55–85) 69 (10) 67 (55–85) 0.6*
BMI (kg/m2) 23 (3) 23 (19–29) 23 (3) 23 (19–30) 23 (3) 23 (20–28) 23 (3) 23 (19–28) 23 (3) 23 (19–29) 0.6*
Mean of left and right  size (ml)† 20 (4) 20 (15–26) 19 (3) 19 (15–26) 20 (4) 20 (14–26) 21 (4) 21 (15–27) 19 (3) 19 (16–24) 0.0001*
Age (years)‡ 31.7 (5.0) 31.4 (24.0–40.3) 30.6 (5.0) 30.0 (22.0–39.0) 32.9 (4.7) 32.5 (25.3–41.7) 30.9 (5.1) 30.6 (24.1–39.2) 32.6 (4.7) 32.5 (25.9–39.3) <0.0001*
School education (years) 15 (3) 15 (11–18) 14 (3) 14 (10–18) 16 (2) 16 (12–18) 14 (3) 14 (10–18) 15 (3) 16 (11–18) <0.0001*
Ejaculation abstinence   (hours)§ 192 (315) 115 (59–498) 215 (348) 117 (59–686) 151 (160) 108 (58–354) 227 (402) 131 (69–684) 167 (293) 111 (59–336) <0.0001*
Frequency (%) Frequency (%) Frequency (%) Frequency (%) Frequency (%)
Have (had)
 Cryptorchidism¶ 0.8 0.5 0.8 1.3 0.0 0.8**
 Testicular torsion 0.0 0.0 0.0 0.0 0.0
 Orchitis 0.1 0.5 0.0 0.0 0.0 0.4
 Varicocele 0.1 0.0 0.0 0.4 0.0 1.0
 Inguinal hernia 3.1 4.4 2.4 3.9 1.0 0.3**
 STD†† 5.6 8.3 3.2 5.58 5.8 0.2**
 Thyroid disease or  diabetes 0.8 1.0 0.8 0.43 1.0 0.9**
 Taken medicine‡‡ 35.1 18.5 42.0 36.5 48.5 <0.0001**
 Caused pregnancy  previously 45.1 42.7 42.8 51.1 41.8 0.2 B
 Investigation because  of infertility 1.5 0.5 1.6 1.3 3.9 0.1 B
Varicocele diagnosed  in study§§ 11.8 13.6 8.4 13.7 - 0.110 B
Tobacco smoker 52.8 67.0 39.6 55.8 49.5 <0.0001 B
Exposed to tobacco in  utero¶¶ 3.8 7.8 2.0 2.6 2.9 0.018 B

*Kruskal-Wallis test.

†Size assessed by palpation.

‡Age calculated as difference between day of attendance in study and self-reported day of birth.

§Ejaculation abstinence period calculated as difference between time of current ejaculation and self-reported time of previous ejaculation.

¶Not born with both testicles in scrotum (irrespective of spontaneous descend or treatment).

**Fisher's exact test.

††Diagnosed with epididymitis, chlamydia or gonnorhoea.

‡‡Taken any medication recent 3 months prior to participation in study or pain.

§§Varicocele diagnosed during this study, irrespective of previous self-reported information (except Fukuoka).

¶¶In utero exposed to maternal tobacco smoking.

(5–95), 5–95th percentile; BMI, body mass index.

Questionnaires

Both the men and their pregnant partners completed a questionnaire in Japanese. The questionnaire included information on age and previous or current diseases including known history of fertility. The original questionnaire that had been used in the European studies21 had been translated into Japanese in advance and back-translated to English to control for translation errors.

Physical examination

Physical examination of the men was performed by urologists at each centre on the day the man delivered the questionnaire and his semen sample. Testes disposition, varicocele and Tanner stages of pubic hair were evaluated with the men in the standing position. For assessment of testis size, all examiners used the same type of wooden orchidometer (Pharmacia & Upjohn, Copenhagen, Denmark).

Semen samples

The participants provided their semen samples by masturbation in a room close to the laboratory. In the laboratory, the samples were kept at 37°C until analysis. The men had been asked to abstain from ejaculation for at least 48 h prior to participation in the study. The actual abstinence period was calculated as the time between the current and previous ejaculations based on self-reported information from the men. Semen volume was assessed by aspirating the entire sample into a graduated 5 ml syringe (TERUMO, Tokyo, Japan) after liquefying at 37°C. Sperm motility was assessed on 10 µl of well-mixed semen placed on a clean glass slide, covered with a 22×22 mm coverslip, and then examined at a total magnification of 400 times on the heating stage at 37°C of a microscope. The sperm were classified as either motile (WHO motility classes A, B or C) or immotile (class D), in order to record the proportion of motile sperm.25 The motility assessment was repeated on a second 10 µl aliquot of semen, and the average value was calculated for the samples. For the assessment of sperm concentration, the samples were diluted in a solution of 0.6 mol/l NaHCO3 and 0.4% (v/v) formaldehyde in distilled water and subsequently assessed using Bürker-Türk haemocytometers. Only sperm with tails were counted. Smears were prepared for morphological evaluation, Papanicoulaou stained and finally assessed according to strict criteria26 by one examiner (MV) in a random and blinded order in Turku, Finland.

Quality control of sperm concentration assessment

Technicians from each centre were initially trained by one technician from St. Marianna University in Kawasaki. Interlaboratory variation in the assessment of sperm concentration was monitored during the study period by an external quality control programme coordinated by the Department of Growth and Reproduction Copenhagen, Denmark.21 22

Blood samples

A blood sample was drawn from a cubital vein of each participant throughout the daytime, and the serum was separated by centrifugation after clotting and stored at −20°C. The frozen serum was sent to the Department of Growth and Reproduction, Rigshospitalet, in Copenhagen, Denmark for a centralised hormone analysis. Levels of testosterone, follicle-stimulating hormone (FSH), luteinising hormone (LH) and sex hormone-binding globulin (SHBG) were determined by using a time-resolved immunofluorometric assay (Delfia, Wallac, Turku, Finland). Inhibin-B was measured by a specific two-sided enzyme immunometric assay (Serotec, UK). Intra-assay and interassay coefficients of variations (CVs) for measurements of both FSH and LH were 3% and 4.5%, respectively. CVs for both testosterone and SHBG were <8% and <5%, respectively. The intra-assay and interassay CVs for inhibin-B were 15% and 18%, respectively. We calculated free testosterone (cFT) from total T and SHBG using a fixed albumin level of 43.8 g/l as described by Vermeulen et al.27

Statistical analysis

Standard statistics (mean, median, SD, 5–95 percentiles and frequencies) were used for description (table 1). Between-group differences for continuous variables giving the basic description of the study population were tested by the non-parametric Kruskal-Wallis test. Between-group differences for categorical variables were tested with the Fisher's exact test.

The main outcome variables were the assessed semen and hormone variables, and the between-group differences were tested by multiple-linear regression (tables 2 and 3). Semen volume, sperm concentration and total sperm counts were best normalised by cubic root transformation before analysis to correct for skewed distribution of residuals. The percentages of motile spermatozoa were logit-transformed. Percentages of morphologically normal spermatozoa entered the model untransformed. Ejaculation abstinence up to 96 h had a linear increasing effect, and abstinence above 96 h, a slight but significant non-linear increasing effect on semen volume, sperm concentrations and total sperm counts. Abstinence, therefore, entered the model as a covariate as linear splines and abstinence-squared for the part above 96 h. For morphology, slight seasonal differences were detected with the highest count in spring and the lowest in autumn. Season was therefore included as a covariate. For all semen variables, increasing age tended to be slightly but negatively associated with semen variables and was also included in the models. Increasing duration from ejaculation to assessment was associated with decreasing motility percentage and included in the statistical model.

Table 2.

Semen quality of fertile men from four cities in Japan

Observed
Adjusted
Mean (SD) Median (5–95) Median (95% CI)
Semen volume (ml)
 Entire study population 3.1 (1.5) 3.0 (1.0–6.0) 3.0 (2.9 to 3.2)
  Sapporo 3.2 (1.6) 3.0 (1.0–6.1) 2.9 (2.7 to 3.1)
  Osaka 2.9 (1.5) 2.6 (1.0–5.2) 2.7 (2.5 to 3.0)
  Kanazawa 3.5 (1.6) 3.2 (1.4–6.0) 3.2 (3.0 to 3.4)
  Fukuoka 2.8 (1.4) 2.6 (1.0–5.2) 2.7 (2.5 to 3.0)
  p Value 0.006
Sperm concentration (mill/ml)
 Entire study population 105 (83) 84 (18–257) 84 (76 to 92)
  Sapporo 110 (84) 95 (22–244) 89 (76 to 104)
  Osaka 97 (79) 76 (15–253) 80 (70 to 93)
  Kanazawa 105 (76) 84 (17–259) 80 (70 to 92)
  Fukuoka 115 (102) 89 (21–263) 98 (80 to 120)
  p Value 0.04
Total sperm count (mill)
 Entire study population 317 (294) 239 (38–818) 255 (230 to 282)
  Sapporo 331 (300) 255 (44–800) 264 (223 to 312)
  Osaka 266 (239) 198 (26–712) 222 (195 to 267)
  Kanazawa 357 (307) 284 (50–848) 266 (228 to 309)
  Fukuoka 324 (350) 229 (48–1007) 276 (221 to 346)
  p Value 0.07
Motile spermatozoa (%)
 Entire study population 67 (21) 66 (31–100) 77 (74 to 79)
  Sapporo 62 (18) 65 (28–87) 66 (61  to 70)
  Osaka 85 (19) 92 (46–100) 94 (93 to 95)
  Kanazawa 55 (15) 56 (30–77) 60 (48 to 56)
  Fukuoka 60 (14) 60 (34–82) 69 (62 to 74)
  p Value <0.0001
Morphologically normal spermatozoa (%)*
 Entire study population 9.8 (6.1) 8.5 (1.5–21.5) 9.3 (8.4 to 10.3)
  Sapporo
  Osaka 8.6 (5.2) 8 (1.0–1.08.5) 8.4 (7.3 to 9.6)
  Kanazawa 11.8 (6.9) 10.5 (2.0–24.5) 11.3 (10.2 to 12.4)
  Fukuoka 8.1 (5.1) 7.0 (1.5–18.0) 7.7 (6.4 to 9.0)
  p Value <0.0001

Observed: results based on raw data.

Adjusted median and 95% CI calculated by linear regression analysis.

Semen volume, sperm concentration and total sperm counts adjusted to a period of ejaculation abstinence of 96 h for a 32-year-old man.

Motility controlled for duration from ejaculation to assessment (30 min for a 32-year-old man).

Morphology adjusted to winter season for a 32-year-old man. See text for further explanation.

p Value based on regression analyses, comparing all four groups.

*Morphology results only available for 568 men.

(5–95), 5–95th percentile.

Table 3.

Reproductive hormone levels of fertile men from four cities in Japan

Observed
Adjusted
Mean (SD) Median (5–95) Median (95% CI)
FSH (U/l)
 Entire study population 4.1 (2.4) 3.6 (1.8–7.8) 3.9 (3.6 to 4.2)
  Sapporo 4.3 (2.4) 3.7 (1.7–8.6) 4.2 (3.8 to 4.6)
  Osaka 4.1 (2.8) 3.7 (1.8–7.7) 3.8 (3.5 to 4.2)
  Kanazawa 4.1 (2.1) 3.5 (1.8–7.7) 4.0 (3.7 to 4.4)
  Fukuoka 4.0 (2.0) 3.6 (2.0–7.0) 3.7 (3.4 to 4.1)
 p Value 0.2
Inhibin-B (pg/ml)
 Entire study population 178 (56) 173 (94–279) 176 (167 to 186)
  Sapporo 182 (56) 179 (104–278) 179 (167 to 194)
  Osaka 190 (59) 187.5 (104–297) 188 (176 to 201)
  Kanazawa 161 (52) 162 (83–260) 158 (147 to 170)
  Fukuoka 180 (50) 169 (117–279) 178 (165 to 192)
  p Value <0.0001
LH (U/l)
 Entire study population 3.7 (1.5) 3.5 (1.9–6.4) 3.3 (3.1 to 3.5)
  Sapporo 3.8 (1.6) 3.4 (1.9–6.3) 3.5 (3.2 to 3.8)
  Osaka 3.5 (1.4) 3.3 (1.8–5.6) 3.2 (3.0 to 3.5)
  Kanazawa 4.0 (1.6) 3.8 (2–7.1) 3.7 (3.4 to 4.0)
  Fukuoka 3.4 (1.4) 3.2 (1.7–6.1) 3.1 (2.9 to 3.4)
  p Value 0.0002
Testosterone (nmol/l)
 Entire study population 20 (7) 18 (11–31) 19 (18 to 20)
  Sapporo 19 (6) 18 (10–31) 18 (17 to 20)
  Osaka 19 (6) 18 (12–28) 19 (18 to 20)
  Kanazawa 22 (7) 21 (12–33) 21 (20 to 23)
  Fukuoka 19 (8) 17 (10–30) 18 (17 to 19)
  p Value <0.0001
SHBG (nmol/l)
 Entire study population 33 (15) 31 (16–56) 31 (30 to 33)
  Sapporo 34 (14) 33 (16–58) 34 (31 to 36)
  Osaka 33 (15) 31 (17–56) 33 (30 to 35)
  Kanazawa 34 (15) 31 (16–56) 33 (30 to 35)
  Fukuoka 30 (15) 27 (15–52) 29 (27 to 31)
  p Value 0.02
cFT (pmol/l)
 Entire study population 416 (143) 392 (251–642) 400 (382 to 419)
  Sapporo 384 (113) 363 (238–625) 376 (354 to 399)
  Osaka 400 (123) 381 (255–591 399 (377 to 421
  Kanazawa 464 (154) 440 (268–677) 448 (422 to 476)
  Fukuoka 410 (183) 392 (240–614 395 (372 to 420)
  p Value <0.0001

Observed: results based on raw data.

 Adjusted median and 95% CI calculated by linear regression analysis, adjusted to blood sampling at 10:00 h in winter season, representing of 32-year-old man having a BMI of 23.

p Value based on regression analyses of natural logarithmic transformed values comparing all four groups.

(5–95): 5–95th percentile; BMI, body mass index; cFT, calculated free-testosterone; FSH, follicle-stimulating hormone; LH, luteinising hormone; SHBG, sex hormone-binding globulin.

Natural logarithmic transformation gave models in which differences between centres and effects of covariates were more easily interpretable. This alternative model closely approximates the model obtained by cubic root transformation and was used when reporting adjusted semen volumes, sperm concentrations and total sperm counts to represent a 32-year-old man having an ejaculation abstinence period of 96 h. QC results did not show any significant intralaboratory difference, changes during the study period or difference to the reference laboratory. Therefore, corrections of data were not needed to make them comparable. The logit-transformed motility data and untransformed morphology percentages were used to give adjusted levels for a 32-year-old man for these variables.

Reproductive hormone levels, that is, FSH, inhibin-B, LH, testosterone, SHBG and calculated free-testosterone, were also log-transformed, and the between-group differences were tested by multiple-linear regression adjusted for age, body mass index (BMI), season and blood-drawn time. BMI was entered in linear and quadratic forms, and when reporting the adjusted values, ‘a 32-year-old man with a BMI of 23 and blood sampling at 10 : 00 h in winter season’ model was represented.

Differences with p<0.05 were considered statistically significant. All statistical analyses were performed twice: MNM using SAS V.9.1.3 (SAS Institute Inc, Cary, North Carolina, USA) and NJ using PASW V.18.

Results

A description of the study population is summarised in table 1. Approximately 45% had previously caused a pregnancy. Few had experienced reproductive health problems. During the preceding 3 months to participation in the study, 35.1% had used medication. Among these, 63% did not provide any details of the type of medication. For the remaining, the types were mainly herbal medicine, painkillers or antibiotics.

Table 2 shows semen variables based on the raw data obtained in each city as ‘observed’ values and the estimates from regression analyses taking covariates into account as ‘adjusted’ values. Semen volumes, sperm concentrations, percentages of motile spermatozoa and morphologically normal spermatozoa differed between the four groups, whereas no differences in total sperm counts were found. In total, 1.2% of men had a sperm concentration below 5 million/ml, 2.1% below 10 million/ml, 3.5% below 15 million/ml and 16.3% below 40 million/ml. For morphology, 14.7% had less than 5% and 10.4% less than 4%28 normal spermatozoa. Reproductive hormone levels differed between the groups except for FSH (table 3). Inhibin-B levels varied with the highest values in Osaka and the lowest in Kanazawa. The adjusted values for LH, testosterone and cFT were highest for the men from Kanazawa.

The semen variables of men whose mothers had smoked during pregnancy did not significantly differ from those of non-exposed men, but the number of smoking mothers was very small (3.8%), disallowing robust statistical evaluation. The men's own smoking habits did not affect the sperm counts. A previous diagnosis of sexually transmitted disease or recent medication (table 1) did not affect sperm counts. Men who had previously caused a pregnancy were older (32.8 vs 30.6 years, p<0.0001) and had a higher sperm concentration (89 vs 82 mill/ml, p=0.01) than those who had caused a pregnancy for the first time.

In men who were diagnosed during the study as having a varicocele, the sperm concentration was 29% (95% CI 9% to 37%) lower than in others. Similarly, there was a reduction in total sperm counts of 30% (9% to 46%) and in percentages of motile spermatozoa of 40% (10% to 60%). Serum levels of FSH, inhibin-B and testosterone did not differ from others. For the remaining male reproductive health problems listed in table 1, the numbers were too small to allow for a valid statistical evaluation. Overall, 97.6% of study subjects had a pubic hair distribution of Tanner stage 4 or higher: Sapporo 98.1%, Osaka 96.4%, Kanazawa 100% and Fukuoka 94.2%.

Discussion

This is the first large cross-sectional study on semen quality of fertile men from major regions of Japan including Sapporo, Osaka, Kanazawa and Fukuoka. We detected only minor differences in their semen quality, which was generally higher than that seen in a previous study of men from Kawasaki located in the Tokyo metropolitan area in Japan.24 This suggests that the metropolitan area may differ from the rest of the country with regard to semen quality. Overall, these Japanese semen quality data are similar to those reported from European countries, including Finland and Denmark.21

WHO published the latest guidelines and reference values of semen analysis in 2010.28 These are based on several prospective cross-sectional studies of fertile men whose partner conceived within 12 months after stopping contraception. However, the background publications did not all request conception within 12 months, for example, our own,21 but data on time to pregnancy were available.29 The new reference values define the fifth percentile of the fertile men, and those are now clearly lower than the previous values.25 Interestingly, the present Japanese semen values are close to the WHO reference values, and the fifth percentiles for sperm concentration and total sperm count are 18 million/ml (WHO reference 15 million/ml) and 38 million (WHO reference 39 million), respectively.

Comparisons between semen quality studies can be limited by many confounders such as population characteristics and methodological differences in semen analysis. To avoid technical and study design differences, this study was designed in the same way as the previously published Japanese study of fertile men24 that was conducted on the basis of the European study of fertile men,21 and we shared the protocols and the external quality control programme with these studies. Male partners of pregnant women were chosen for the international comparative studies, because they constituted a well-defined group. The participation rate in this study was higher than in a similar US study12 and at an intermediate level as compared with those in the European study.21 Despite common protocols and the external quality control of semen analyses, some differences remained in the procedures, which may have influenced the results. Semen volume was assessed with the aspiration method in the present study, whereas in many other studies, for example, the European studies on fertile men,21 weighing of the whole sample was used. This may have led to approximately 0.4 ml underestimation of the true volume.30 31 If those corrections were made, the current volume measures would be close to the European levels, and consequently the total sperm counts would be even higher than presented. In Kanazawa, median semen volume was higher than in other cities, which may have resulted from interobserver variation. The external quality control programme registered only possible differences in sperm concentrations but not in the assessment of testicular volume, semen volume or sperm motility. Therefore, the high motility measure of 94% from Osaka may also be due to laboratory variation, while the percentage of motile sperm in all other centres was rather similar to each other (52–69%). Levels of reproductive hormones varied between centres, and the reasons for this are not currently known. We could not standardise the sampling time to morning, because most of the study subjects were employed in full-time jobs, and therefore blood samples were taken throughout the day. We tried to account for this by adjusting for hour of blood sampling in the statistical analyses, similar to how it has been done in other studies.12 21 22 24 32 33

Influence of ethnicity and genetic background on semen quality is poorly known. Lower testis parenchymal weight,34 lower androsterone glucuronide levels despite similar serum testosterone levels,35 36 lower testosterone production rate37 and longer CAG repeats in the androgen receptor gene38 have been reported in Asian men compared with Hispanic or non-Hispanic white men. Chia et al 39 reported low sperm counts in the Chinese, Malaysians and Indians living in Singapore, indicating large variations among Asian men. Zhang et al4 analysed the trend of mean sperm concentration in Chinese fertile men from 1983 to 1996. According to the English abstract, semen data were collected from 114 published papers (mostly written in Chinese) including 256 datasets from 9292 men and 11 726 semen assays from 39 cities. The mean sperm concentration decreased from 103 million/ml in 1983 to 84 million/ml in 1996. Although the semen quality of fertile men in China was good as compared with reports from many other countries for the same period, the speed of decline was remarkably high.

Assessment of testicular size with a Prader orchidometer is somewhat subjective and prone to large interobserver variation. Ethnic differences in testis size, that is, smaller in Asian men than in Caucasians, have been reported in some studies.40–42 The mean testicular volumes of Korean normal men,43 Chinese fertile men,44 Thai fertile men45 and Chinese normal men44 were 19.4, 17.7, 17.2 and 17 ml, respectively. These values are lower than those reported from Europe where the mean testicular volumes in fertile men from four European cities were 23.5 ml (Copenhagen, Denmark), 23 ml (Edinburgh, Scotland), 22.5 ml (Paris, France) and 23 ml (Turku, Finland). In the previously published study of fertile Japanese from Kawasaki, the mean testicular volume was 21.5 ml,24 and in the current study the mean volumes ranged from 19.3 to 20.9 ml. This seems to indicate that that Japanese men may have somewhat larger testes than other Asian men but smaller than those of Europeans. However, without strict standardisation and analysis of interobserver variation, the figures are difficult to compare and may not present true differences.

Taken together, the study results show that semen quality of fertile Japanese men from four different regions is comparable to that in the best European regions. The reasons for global differences are not known, but both genetic and environmental factors possibly play roles. A close survey of semen quality over time seems warranted to observe possible temporal or regional trends. Our results may also serve as reference values for studies of men from the general population.

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Acknowledgments

Dr K Nishimura, Dr H Miura and Dr M Yamanaka are acknowledged for performing a physical examination of the fertile men. Ms Y Kawabuchi and Mr K Abe are acknowledged for examination of semen quality. All the study nurses and technicians of the four centres are acknowledged for coordinating the recruitment and for examination of semen quality. All the volunteers participating in the study are thanked. Without their participation, the study would not have been possible.

Footnotes

Contributors: TI, SN, MY, MNM, NES, JT and NJ made substantial contributions to the conception and design. TI, MY, SN, MN, EK, JK, AO, KM, AT, TT, NI, KK and MV were involved in acquisition of data. TI, SN, MNM, NES, JT and NJ were involved in analysis of data. All authors were involved in interpretation of data. TI, SN, MNM, NES, JT and NJ were involved in the drafting of the article. All authors were involved in a critical revision of the article for important intellectual content. All authors participated in the final approval of the version to be published.

Funding: This study has been supported economically by several grants: The Ministry of Health and Welfare, Japan (Grant nos. H10-Seikatsu-017 and H13-Seikatsu-014 to TI, AO, MN, TT and KK). Japan Society for the Promotion of Science (nos. 1113001 and 1214001 to TI) and The JSPS Invitation Fellowship Programme (invited a scientist from Denmark, NJ) by Japan Society for the Promotion of Science (ID no. S10110), Rigshospitalet (Grant no. 961506336) to NJ, Academy of Finland, Sigrid Juselius Foundation and Turku University Hospital to JT. The funding organisations played no role in the design and conduct of the study, in collection, management, analysis and interpretation of the data; or in the presentation, review or approval of the manuscript.

Competing interests: None.

Ethics approval: This study got the approval of the Ethics Review Board in each university and hospital. All participants gave their written consent before participating in the study.

Provenance and peer review: Not commissioned; externally peer reviewed.

Data sharing Statement : No additional data are available.

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