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. Author manuscript; available in PMC: 2020 Jan 1.
Published in final edited form as: Oral Oncol. 2018 Nov 23;88:102–108. doi: 10.1016/j.oraloncology.2018.11.025

Reproductive History and Risk of Nasopharyngeal Carcinoma: A Population-Based Case–Control Study in Southern China

Ruimei Feng 1,2, Ellen T Chang 3,4, Zhiwei Liu 5, Qing Liu 1,2, Yonglin Cai 6,7, Zhe Zhang 8,9, Guomin Chen 10, Qi-Hong Huang 11, Shang-Hang Xie 1,2, Su-Mei Cao 1,2, Yu Zhang 2, Jingping Yun 2, Wei-Hua Jia 2, Yuming Zheng 6,7, Jian Liao 12, Yufeng Chen 5, Longde Lin 9, Ingemar Ernberg 13, Guangwu Huang 8,9,#, Yi Zeng 10,#, Yi-Xin Zeng 2,14,#, Hans-Olov Adami 5,15,#, Weimin Ye 1,2,5,*,#
PMCID: PMC6336493  NIHMSID: NIHMS1514368  PMID: 30616779

Abstract

Objects

Nasopharyngeal carcinoma (NPC) incidence exhibits a remarkable sex disparity, with higher risk among males. Whether this pattern can be partly explained by female reproductive history is unclear.

Methods

A population-based case–control study of NPC was conducted in southern China between 2010 and 2014, including 674 histopathologically verified female NPC cases and 690 female controls randomly selected from population-based registries. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using logistic regression after adjusting for potential confounders.

Results

Women who had 3, 4, or ≥5 pregnancies compared with 2 pregnancies were at significantly increased risk for NPC (ORs1.56, 1.45 and 1.88, respectively). History of deliveries was similarly associated with a greater risk of NPC. These positive associations were more prominent in women who were younger than 50 years, had less than 10 years of education, or were white-collar workers. Increasing time since menopause was associated with a diminished NPC risk (Ptrend=0.010). Women more than 15 years after menopause had a 0.35-fold (95% CI: 0.16–0.75) NPC risk compared with those 0–3 years after menopause.

Conclusion

Contrary to our hypothesis, a history of pregnancy or delivery increased the risk of NPC and the risk decreased with increasing time since menopause. However, the non-linear relationship and no consistent risk patterns across strata indicate that the observed associations are unlikely to be causal, and may at least partially be ascribed to residual confounding by socioeconomic factors.

Keywords: Pregnancy, Menopause, Intrinsic hormone exposure, Nasopharyngeal carcinoma, Case-control study, Southern China

Introduction

Nasopharyngeal carcinoma (NPC) incidence is higher in males than females across the world, especially in endemic areas. Age-standardized (Segi–Doll world standard) NPC incidence rates (per 100,000) in males were indeed 2- to 3-fold higher than those in females in 2012 in North Africa (2.3 vs. 1.0), Europe (0.6 vs. 0.2), East Asia (2.5 vs. 1.0), Hong Kong (12.8 vs. 4.0), Shanghai, China (3.1 vs. 1.0), and Zhongshan, China (25.0 vs. 7.7)[1].

The mechanisms responsible for the sex disparity in NPC incidence remain unclear. Recent studies suggest that genetics or environmental exposures may contribute to this pattern. In particular, some studies reported that the sex difference was related to differential genetic susceptibility, with a hypothesis that the X chromosome or a sex-based difference in gene expression, perhaps interacting with Epstein-Barr virus (EBV) infection, was involved in the development of NPC[24]. Other studies attributed the sex disparity to environmental factors that are unevenly distributed between females and males, such as smoking and certain occupational exposures[5, 6]. Another contributing cause may be differences in levels of sex steroid hormones[710].

In line with the female hormone-related theory, we hypothesized that certain female reproductive characteristics may confer protection against NPC risk. To date, few epidemiological studies of NPC have focused on risk factors among females[1113], and no association has been established between female reproductive factors and risk of NPC. Therefore, we aimed to investigate the relationship between female reproductive history, including pregnancy and menopause-related factors, and NPC risk in a large, population-based case-control study in southern China.

Materials and methods

Study population

We conducted a collaborative study entitled “NPC Genes, Environment, and EBV” (NPCGEE) in three areas from Guangdong Province and Guangxi Autonomous Region of southern China between 2010 and 2014. Study details have been described previously[1416]. All histopathologically diagnosed incident cases of NPC, enrolled from 10 hospitals and 2 cancer research institutions, were ascertained by a rapid report system. Control subjects, frequency matched to the 5-year age and sex distributions of cases, were randomly selected from the dynamic total population registries. Eligible participants were those aged 20 to 74 years, living in the study area during the recruitment period, and with no previous malignant disease or congenital or acquired immunodeficiency.

The overall participation rates were 83.2% for cases and 82.7% for controls. Among cases, 679 were female (26.6%), and for controls 691 (26.1%). Women with missing information on pregnancy history and menopausal status (N=3) or with poor-quality data (N=3) were excluded, thus leaving 674 cases and 690 controls for the final analysis.

Institutional review boards or ethics boards from all study centers approved this study. Eligible subjects granted written or oral informed consent prior to participation.

Data collection

Data on lifestyle and other potential NPC risk factors, including reproductive history, were collected using a structured electronic questionnaire during in-person interviews conducted by trained interviewers. Women reported whether they had ever been pregnant, and if so, the total number of pregnancies, age at first pregnancy, the outcome of the first pregnancy, and the total number of deliveries (including stillbirths). Women also reported their menopausal status, and for postmenopausal women, age at menopause was recorded.

Statistical analysis

The distribution of the number of deliveries (0, 1, 2, 3, 4 or ≥5) across demographics and potential confounding factors among study subjects were presented using proportions. Difference of these characteristic factors between female cases and controls were also compared using Chi-square test. Associations between reproductive factors and NPC risk were evaluated using unconditional logistic regression models, from which odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were derived.

The pregnancy-related factors included ever pregnancy (yes or no) and, for ever-pregnant women, number of pregnancies (1, 2, 3, 4, or ≥5), age at first pregnancy (≤20, 21–25, 26–29, or ≥30 years), outcome of first pregnancy (natural delivery, stillbirth, abortion, or other), and number of deliveries (1, 2, 3, 4, or ≥5). The menopause-related factors included menopausal status (yes or no) and, for peri- or postmenopausal women, age at menopause (≤47, 48–49, 50–51, or ≥52 years). Cut-off values for age at first pregnancy and age at menopause were set at approximate quartiles among controls.

Potential confounders were considered according to prior knowledge and associations with NPC risk in this study. These included age (in 10-year groups), area of residence (Zhaoqing, Wuhzou, or Guiping/Pingnan), education level (0, 1–6, 7–9, or ≥10 years), current housing type (building (concrete structure) or cottage (clay brick structure)/boat), current occupation (unemployed, farmer, blue-collar, white-collar, or other/unknown), cigarette smoking (ever or never), current tea drinking (yes or no), salt-preserved fish consumption in 2000–2002 (yearly or less, monthly, or weekly or more), body mass index (<18.5, 18.5–22.9 or ≥23.0 kg/m2) and first-degree family history of NPC (yes, no, or unknown). Minimally adjusted ORs were adjusted for the frequency matching factors, i.e., age and area of residence. Multivariate adjusted ORs were additionally adjusted for other potential confounders listed in Table 1, except for cigarette smoking, because women rarely smoked in our study population.

Table 1.

Characteristics of 1,364 subjects, stratified by number of deliveries

Characteristics 0
N=39
N (%)
1
N=178
N (%)
2
N=399
N (%)
3
N=338
N (%)
4
N=212
N (%)
≥5
N=198
N (%)
Residential area
  Zhaoqing 21 (53.9) 106 (59.6) 262 (65.7) 160 (47.3) 90 (42.5) 69 (34.9)
  Wuzhou 12 (30.8) 57 (32.0) 75 (18.8) 92 (27.2) 63 (29.7) 63 (31.8)
  Guiping/Pingnan 6 (15.4) 15 (8.4) 62 (15.5) 86 (25.4) 59 (27.8) 66 (33.3)
Age at interview, year
  20–29 25 (64.1) 21 (11.8) 18 (4.5) 2 (0.6) 1 (0.5) 0 (0.0)
  30–39 7 (18.0) 59 (33.2) 85 (21.3) 55 (16.3) 14 (6.6) 2 (1.0)
  40–49 4 (10.3) 66 (37.1) 181 (45.4) 142 (42.0) 75 (35.4) 46 (23.2)
  50–59 1 (2.6) 30 (16.9) 95 (23.8) 82 (24.3) 64 (30.2) 57 (28.8)
  60–74 2 (5.1) 2 (1.1) 20 (5.0) 57 (16.9) 58 (27.4) 93 (47.0)
Educational level, year
  0 1 (2.6) 3 (1.7) 23 (5.8) 34 (10.1) 34 (16.0) 52 (26.3)
  1–6 8 (20.5) 35 (19.7) 174 (43.6) 177 (52.4) 131 (61.8) 116 (58.6)
  7–9 9 (23.1) 69 (38.8) 152 (38.1) 108 (32) 37 (17.5) 21 (10.6)
  ≥10 21 (53.9) 71 (39.9) 50 (12.5) 19 (5.6) 10 (4.7) 9 (4.6)
Current housing typea
  Building 34 (87.2) 157 (88.2) 330 (82.7) 246 (72.8) 156 (73.6) 124 (62.9)
  Cottage/boat 5 (12.8) 21 (11.8) 69 (17.3) 92 (27.2) 56 (26.4) 73 (37.1)
Current occupation
  Unemployed 2 (5.1) 21 (11.8) 42 (10.5) 28 (8.3) 16 (7.6) 11 (5.6)
  Farmer 4 (10.3) 21 (11.8) 159 (39.9) 193 (57.1) 128 (60.4) 144 (72.7)
  Blue-collar 11 (28.2) 65 (36.5) 112 (28.1) 77 (22.8) 41 (19.3) 14 (7.1)
  White-collar 19 (48.7) 63 (35.4) 52 (13.0) 18 (5.3) 6 (2.8) 6 (3.0)
  Other/unknown 3 (7.7) 8 (4.5) 34 (8.5) 22 (6.5) 21 (9.9) 23 (11.6)
Cigarette smoking
  Never 39 (100.0) 176 (98.9) 395 (99.0) 328 (97.0) 209 (98.6) 194 (98.5)
  Ever 0 (0.0) 2 (1.1) 4 (1.0) 10 (3.0) 3 (1.4) 3 (1.5)
  Missing 0 0 0 0 0 1
Current tea drinking
  No 39 (100.0) 137 (77.4) 331 (83.2) 276 (81.7) 179 (84.4) 174 (88.8)
  Yes 0 (0.0) 40 (22.6) 67 (16.8) 62 (18.3) 33 (15.6) 22 (11.2)
  Missing 0 1 1 0 0 2
Salt-preserved fish consumption in 2000–2002
  ≤Yearly 33 (84.6) 138 (77.5) 307 (76.9) 251 (74.3) 156 (73.6) 144 (73.1)
  ≥Monthly 6 (15.4) 40 (22.5) 92 (23.1) 87 (25.7) 56 (26.4) 53 (26.9)
  Missing 0 0 0 0 0 1
Nasopharyngeal carcinoma among first-degree relatives
  No 38 (97.4)  163 (91.6) 367 (92.0) 301 (89.3) 196 (92.5) 178 (90.4)
  Yes 1 (2.6)  13 (7.3)  24 (6.0) 30 (8.9) 12 (5.7) 11 (5.6)
  Unknown 0 (0)  2 (1.1)  8 (2.0) 6 (1.8) 4 (1.9) 8 (4.1)
Body mass index at age 20 (kg/m2)
  <18.5 7 (18.0)  49 (27.5) 68 (17.0) 69 (20.4) 38 (18.0) 51 (25.8)
  18.5–22.9 28 (71.8)  111 (62.4) 273 (68.4) 220 (65.1) 139 (65.9) 120 (60.6)
  ≥23.0 4 (10.3)  18 (10.1) 58 (14.5) 49 (14.5) 34 (16.1) 27 (13.6)
  Missing 0 0 0 0 1 1
a

Current housing type included building (concrete structure), or cottage (clay brick structure) or boat.

To investigate potential effect modification in relation to number of deliveries (1, 2, 3, 4, or ≥5), stratified analyses were further conducted by age (<50 or ≥50 years) and the three proxy indicators of socioeconomic status (SES), including education level (<10 or ≥10 years), current occupation (unemployed/farmer/blue-collar or white-collar) and current housing type (building (concrete structure) or cottage (clay brick structure)/boat).

Analyses were performed with SAS version 9.4 (SAS Institute). The two-sided significance level for all statistical tests was 0.05.

Results

Baseline characteristics of study subjects

Table 1 presents baseline characteristics of the 1,364 study subjects (674 female cases and 690 controls) stratified by number of deliveries. Women having more deliveries were more likely to reside in the Guiping/Pingnan area, to be older at diagnosis/interview, to have a lower education level, to live in a cottage (clay brick structure)/boat, to be unemployed or a farmer, to be a nondrinker of tea, to be overweight at age 20, and to have consumed more salt-preserved fish between 2000 and 2002. Baseline characteristics for cases and controls are separately presented in the Supplementary Table 1. Cases tended to have a lower education level, to live in a cottage (clay brick structure)/boat, to be blue-collar workers, to be less likely tea drinkers, to be overweight at age 20, and to more likely have a family history of NPC.

Risk of NPC in relation to pregnancy history

Table 2 shows the ORs and 95% CIs for the associations between pregnancy-related factors and risk of NPC. Compared with women who had ever been pregnant, women who had never been pregnant had no significantly increased risk of NPC (fully adjusted OR: 2.16, 95% CI: 0.94–4.94).

Table 2.

Odds ratios and corresponding 95% confidence intervals for risk of nasopharyngeal carcinoma in association with pregnancy-related factors

Cases
N=674
N (%)
Controls
N=690
N (%)
Age and area
adjusted OR
(95% CI)
Multivariate
adjusted OR
(95% CI) b
Ever pregnant
 Yes 652 (96.7) 677 (98.1) 1.00 (reference) 1.00 (reference)
 No 22 (3.3) 13 (1.9) 1.95 (0.88–4.31) 2.16 (0.94–4.94)
No. of pregnancies a
 1 54 (8.3) 60 (8.9) 1.22 (0.79–1.90) 1.43 (0.89–2.27)
 2 128 (19.7) 182 (27.0) 1.00 (reference) 1.00 (reference)
 3 171 (26.3) 164 (24.3) 1.56 (1.14–2.14) 1.56 (1.13–2.17)
 4 121 (18.6) 119 (17.6) 1.60 (1.13–2.28) 1.45 (1.01–2.10)
 ≥5 176 (27.1) 150 (22.2) 2.00 (1.42–2.81) 1.88 (1.31–2.70)
No. of deliveries a
 1 90 (13.9) 88 (13.0) 1.35 (0.94–1.94) 1.65 (1.11–2.46)
 2 168 (25.9) 231 (34.2) 1.00 (reference) 1.00 (reference)
 3 181 (27.9) 157 (23.3) 1.71 (1.27–2.31) 1.59 (1.16–2.18)
 4 104 (16.0) 108 (16.0) 1.53 (1.08–2.18) 1.40 (0.96–2.03)
 ≥5 107 (16.5) 91 (13.5) 2.10 (1.42–3.09) 1.83 (1.21–2.78)
Age at first pregnancy, y a
 ≤20 86 (13.2) 84 (12.4) 1.02 (0.73–1.43) 0.96 (0.67–1.37)
 21–25 390 (60.0) 384 (56.9) 1.00 (reference) 1.00 (reference)
 26–29 152 (23.4) 188 (27.9) 0.78 (0.60–1.01) 0.87 (0.66–1.14)
 ≥30 22 (3.4) 19 (2.8) 1.11 (0.59–2.08) 1.19 (0.62–2.28)
Outcome of first pregnancy a
 Natural delivery 579 (89.1) 609 (90.2) 1.00 (reference) 1.00 (reference)
 Stillbirth 7 (1.1) 7 (1.0) 1.06 (0.37–3.04) 1.29 (0.42–3.96)
 Abortion 60 (9.2) 52 (7.7) 1.17 (0.79–1.73) 1.31 (0.87–1.99)
 Other 4 (0.6) 7 (1.0) 0.59 (0.17–2.03) 0.63 (0.18–2.28)

Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval.

a

Only among ever pregnant women, excluding two controls and two cases with no deliveries, and 13 controls and 22 cases with no pregnancies.

b

Adjusted for age, area of residence, education level, current housing type, current occupation, current tea drinking, body mass index at age 20, salt-preserved fish consumption in 2000–2002, and nasopharyngeal carcinoma among first-degree relatives.

The number of pregnancies or deliveries showed a non-linear relationship with NPC risk. Most associations in the minimally adjusted models (adjusted for age and area of residence) were attenuated after fully adjusting for other confounders. Compared with women who had two pregnancies (the most common number among controls), having had one pregnancy was associated with a non-significant increased risk of NPC (fully adjusted OR: 1.43, 95% CI: 0.89–2.27), while those having had 3, 4, or ≥5 pregnancies had 56%, 45% and 88% excess risks of NPC, respectively. Having had one versus two deliveries was significantly associated with NPC risk (fully adjusted OR: 1.65, 95% CI: 1.11–2.46), while having had more than 3, 4, or ≥5 deliveries was associated with 60%, 36% and 70% excess risks of NPC, respectively.

Having first been pregnant at age ≤20, 26–29 or ≥30 years compared with age 21–25 years was not significantly associated with risk of NPC. Similarly, no significant relationship was found between outcome of the first pregnancy and risk of NPC.

Risk of NPC in relation to menopausal history

Table 3 displays the associations between menopause-related factors and risk of NPC. Associations did not differ substantially between the minimally adjusted models (adjusted for age and area of residence) and fully adjusted models. Compared with premenopausal women, peri- and postmenopausal women had a slightly, non-significantly increased risk for NPC. Compared with premenopausal women, postmenopausal women exhibited a generally increasing trend in NPC risk with later age at menopause, from less than 48 years to more than 51 years (Ptrend = 0.06, fully adjusted model). NPC risk was not significantly elevated for women who entered menopause at ≥52 years, with an adjusted OR of 1.67 (95% CI: 0.96–2.89). Among peri-/postmenopausal women, increasing time since menopause was associated with a decreasing trend in NPC risk (Ptrend = 0.01, fully adjusted model). In particular, women who experienced menopause at least 15 years previously had a 0.35-fold (95% CI:0.16–0.75) risk of NPC compared with women 0 to 3 years after menopause. The results were similar after further adjusting for age at menopause (data now shown).

Table 3.

Odds ratios and corresponding 95% confidence intervals for risk of nasopharyngeal carcinoma in association with menopause-related factors

Cases
N=672
N (%)
Controls
N=688
N (%)
Age and area
adjusted OR
(95% CI)
Multivariate
adjusted OR
(95% CI) c
Menopausal status
 Pre-menopausal 406 (60.4) 403 (58.6) 1.00 (reference) 1.00 (reference)
 Peri/post-menopausal 266 (39.6) 285 (41.4) 1.18 (0.82–1.70) 1.17 (0.80–1.71)
Age at menopause, year a
 Pre-menopause 406 (60.6) 403 (58.6) 1.00 (reference) 1.00 (reference)
 ≤47 79 (11.8) 86 (12.5) 1.13 (0.75–1.70) 1.10 (0.72–1.69)
 48–49 49 (7.3) 68 (9.9) 0.98 (0.59–1.61) 0.96 (0.56–1.62)
 50–51 74 (11.0) 77 (11.2) 1.34 (0.82–2.18) 1.35 (0.81–2.25)
 ≥52 62 (9.3) 54 (7.9) 1.62 (0.96–2.73) 1.67 (0.96–2.89)
P-trend 0.068 0.059
Time since menopause, year b
 0–3 80 (30.3) 70 (24.6) 1.00 (reference) 1.00 (reference)
 4–9 75 (28.4) 68 (23.9) 0.87 (0.53–1.42) 0.81 (0.47–1.38)
 10–14 65 (24.6) 70 (24.6) 0.69 (0.37–1.26) 0.67 (0.35–1.29)
 ≥15 44 (16.7) 77 (27.0) 0.41 (0.20–0.84) 0.35 (0.16–0.75)
 P-trend 0.017 0.010

Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval.

a

Age at menopause for two cases was missing.

b

Among peri-/postmenopausal women (N=549).

c

Adjusted for age, area of residence, education level, current housing type, current occupation, current tea drinking, body mass index at age 20, salt-preserved fish consumption in 2000–2002, and nasopharyngeal carcinoma among first-degree relatives.

Risk of NPC stratified by age and socioeconomic status

Table 4 reports the associations between number of pregnancies or deliveries and the risk of NPC stratified by age at diagnosis/interview (<50 years vs. ≥50 years). For women younger than 50 years, both one pregnancy and more than two pregnancies were associated with higher risks of NPC compared with two pregnancies; adjusted ORs were 1.98 (95% CI: 1.17–3.37) for one pregnancy and 2.00 (95% CI:1.33–3.00), 1.89 (95% CI: 1.16–3.07), and 2.15 (95%CI: 1.32–3.50), for 3, 4 or ≥5 pregnancies, respectively. Similar results were shown for number of deliveries, although point estimates were always lower. By contrast, no significant associations were observed among women ≥50 years, for either number of pregnancies or deliveries.

Table 4.

Odds ratios and corresponding 95% confidence intervals for risk of nasopharyngeal carcinoma in association with number of pregnancies or deliveries, stratified by age at diagnosis/interview

<50 years
≥50 years
Cases
N=387
N (%)
Controls
N=380
N (%)
Multivariate
adjusted OR
(95% CI) b
Cases
N=263
N (%)
Controls
N=295
N (%)
Multivariate
adjusted OR
(95% CI) b
No. of pregnancies a
 1 49 (12.7) 48 (12.6) 1.98 (1.17–3.37) 5 (1.9) 12 (4.1) 0.51 (0.16–1.64)
 2 83 (21.5) 132 (34.7) 1.00 (reference) 45 (17.1) 50 (17.0) 1.00 (reference)
 3 115 (29.7) 98 (25.8) 2.00 (1.33–3.00) 56 (21.3) 66 (22.4) 0.85 (0.48–1.49)
 4 68 (17.6) 51 (13.4) 1.89 (1.16–3.07) 53 (20.2) 68 (23.1) 0.78 (0.43–1.41)
 ≥5 72 (18.6) 51 (13.4) 2.15 (1.32–3.50) 104 (39.5) 99 (33.6) 1.04 (0.60–1.82)
No. of deliveries a
 1 73 (18.9) 73 (19.2) 1.67 (1.07–2.61) 17 (6.5) 15 (5.1) 2.04(0.83–5.01)
 2 120 (31.0) 164 (43.2) 1.00 (reference) 48 (18.3) 67 (22.7) 1.00 (reference)
 3 114 (29.5) 85 (22.4) 1.76 (1.18–2.61) 67 (25.5) 72 (24.4) 1.14 (0.67–1.95)
 4 50 (12.9) 40 (10.5) 1.51 (0.90–2.51) 54 (20.5) 68 (23.1) 1.05 (0.60–1.86)
 ≥5 30 (7.8) 18 (4.7) 1.93 (0.98–3.77) 77 (29.3) 73 (24.8) 1.29 (0.73–2.29)

Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval.

a

Only women with ever pregnancy, excluding two controls and two cases with no deliveries, and 13 controls and 22 cases with no pregnancies.

b

Adjusted for area of residence, education level, current housing type, current occupation, current tea drinking, body mass index at age 20, salt-preserved fish consumption in 2000–2002, and nasopharyngeal carcinoma among first-degree relatives.

Figure 1 presents results from stratified analyses by three SES indicators (education level, current occupation, or current housing type). Significantly higher risk of NPC in association with one delivery was found among women who had less than 10 years of education, were unemployed/farmers/blue-collar workers, or resided in a cottage (clay brick structure)/boat (Figure 1. a), while no significant association between one delivery and NPC risk was shown among women who had more than 10 years of education or were white-collar workers (Figure 1. b). Socioeconomic heterogeneity in the association of NPC risk with more than two deliveries was less marked, but generally stronger positive associations were noted among women with less education or lower occupational status.

Figure 1. Odds ratios and 95% confidence intervals of nasopharyngeal carcinoma associated with number of deliveries, stratified by socioeconomic status indicatorsC.

Figure 1.

a demonstrates results among women with disadvantaged socioeconomic status (SES), i.e. those who had less than 10 years of education, were unemployment/farmer/blue- collar workers, or resided in cottage (clay brick structure) or boat;

b shows results among women with advantaged SES, i.e. those who had more than 10 years of education, were white-collar workers, or resided in building (concrete structure). C Only among ever pregnant women, excluding two controls and two cases with no deliveries, and 13 controls and 22 cases with no pregnancies; all ORs were adjusted for age, area of residence, education level, current housing type, current occupation, current tea drinking, body mass index at age 20, salt-preserved fish consumption in 2000–2002, and nasopharyngeal carcinoma among first-degree relatives.

Discussion

To our knowledge, this is the first study to systematically evaluate possible associations between female reproductive factors and the risk of NPC. We found borderline significant positive associations between an increasing number of pregnancies or deliveries, later age at menopause, and more recent menopause and risk of NPC. However, the positive associations with number of pregnancies or deliveries were only observed in women who were younger than 50 years, had less than 10 years of education or were non-white-collar workers.

A non-linear relationship with NPC risk in association with number of pregnancies or deliveries was shown in our study. Women who had only one pregnancy or delivery showed a higher risk of NPC than women with two pregnancies or deliveries. Similarly, women experiencing more than two pregnancies or deliveries had excess risk of NPC, although with no dose-response pattern. The Chinese traditional culture, in which women with relatively poor socioeconomic status are prone to bear more than one baby, might confound associations between reproductive history and NPC risk in at least two ways. First, China’s one-child policy, implemented in 1980, probably affected the reproductive experience, particularly among those of more recent birth cohorts, well-educated, and white-collar workers, because of financial and employment-based penalties for persons with more than one child. Second, women in poorer physical health may be less likely to have more than one child. The distribution of pregnancy or delivery in our study also confirmed that women with multiple pregnancies were more likely to have a low profile of SES and belong to more recent birth cohorts.

Given all of the above considerations, we conducted analyses stratified by age (<50 or ≥50 years) and three different socioeconomic indicators. Women older than 50 years were born before 1960s and therefore less likely to be influenced by the one-child policy. Similarly, women with more than 10 years of education or being white-collar workers were more likely to work in government agencies, and then more likely to be influenced by one-child policy. The stratified analyses also indicated that the positive associations between multiple pregnancies or deliveries and NPC risk were mostly observed in women younger than 50 years, who had a lower education level or were non-white-collar workers. Therefore, the increased risk of NPC following multiple pregnancies may partly be ascribed to lower socioeconomic status. However, other potential explanations cannot be excluded, such greater risk of EBV reactivation and consequent NPC risk among women with multiple pregnancies, since the immune system appears to be down-regulated during pregnancy[1720]. Some studies reported that EBV reactivation was enhanced among pregnant women[17, 18, 21, 22], but others reported no association[23, 24].

Intrinsic hormone exposures may also contibute to the observed sex difference in NPC incidence. The decrease in risk of NPC with time since menopause occurs in concert with a drastic decline in estrogen levels. A study of NPC incidence in Hong Kong in 1983–2008[25] showed a delayed peak in NPC incidence among females at ages 55–59 years, compared a peak at ages 50–54 years among males, followed by a decline at older ages in both sexes. The authors speculated that a protective effect of estrogen might explain this discrepancy, as estrogen can inhibit NPC cell growth mediated by estrogen receptors identified in the tissues[7]. Similarly, another study in China reported an NPC incidence peak at 55–59 years, followed by a decline in both sexes[26]. A protective effect of estrogen may explain the sex difference in NPC incidence, but the observed decreasing trend in NPC risk after menopause contradicts a causal association.

The major strengths of our study are the strictly population-based design, large size, high participation rates among both cases and controls, and detailed collection of high-quality data. However, our study also has some disadvantages. First, the sample size was relatively limited for some further stratified analyses. Second, reproductive hormone levels were not measured, nor were potential clues to biological mechanism, such as EBV load. However, the number of deliveries and menopausal status are well validated indicators of relative levels of long-term female reproductive hormones, which fluctuate substantially within individuals over short periods of time and are therefore difficult to be measured reliably in epidemiologic studies. Exogenous influences on female reproductive hormone levels, such as oral contraceptives and hormone replacement therapy - without any established association with NPC risk - are little used in China, especially in rural areas[27] and therefore unlikely to confound our risk estimates.

In conclusion, although we observed excess risk of NPC in association with one pregnancy or delivery and more than two pregnancies or deliveries, compared with two pregnancies or deliveries, the non-linear relationship and lack of consistent risk patterns across birth cohorts or SES strata indicate that the observed positive associations might be ascribed to socioeconomic status and other unknown confounding factors.

Supplementary Material

supplement-1

Highlights.

  • This is the first study to assess the NPC risk associated with reproductive history;

  • A history of pregnancy or delivery increased the NPC risk;

  • NPC risk decreased with increasing time since menopause.

Acknowledgments

We thank the members of the External Advisory Board of the NPC Genes, Environment, and Epstein-Barr Virus Study, including Dr. Curtis Harris (US National Cancer Institute), Dr. Mary-Claire King (University of Washington), Dr. Xihong Lin (Harvard T.H. Chan School of Public Health), Dr. Wei-Cheng You (Peking University) and Dr. You-Lin Qiao (Chinese Academy of Medical Sciences) for their guidance of the overall case-control study.

The content of this article is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.

Role of the funding source

The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.

Footnotes

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Conflict of interest: none declared.

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