This article has Open Peer Review reports available.
Seaweed consumption and prevalence of depressive symptoms during pregnancy in Japan: Baseline data from the Kyushu Okinawa Maternal and Child Health Study
https://doi.org/10.1186/1471-2393-14-301
© Miyake et al.; licensee BioMed Central Ltd. 2014
Received: 12 May 2014
Accepted: 1 September 2014
Published: 3 September 2014
Abstract
Background
Seaweed is a popular traditional food in Japan and is a rich source of bioactive metabolites. The neuroprotective properties of seaweed have attracted attention; to date, however, there has been no epidemiological evidence regarding the relationship between seaweed consumption and depression. The current cross-sectional study investigated the association between seaweed consumption and depressive symptoms during pregnancy in Japan.
Methods
Study subjects were 1745 pregnant women. Depressive symptoms were defined as present when subjects had a Center for Epidemiologic Studies Depression Scale score of 16 or higher. Dietary consumption during the preceding month was assessed using a self-administered diet history questionnaire. Adjustment was made for age; gestation; region of residence; number of children; family structure; history of depression; family history of depression; smoking; secondhand smoke exposure at home and at work; job type; household income; education; body mass index; and intake of fish and yogurt.
Results
The prevalence of depressive symptoms during pregnancy was 19.3%. After adjustment for possible dietary and non-dietary confounding factors, higher seaweed consumption was independently associated with a lower prevalence of depressive symptoms during pregnancy: the adjusted odds ratios (95% confidence intervals) for depressive symptoms during pregnancy in the first, second, third, and fourth quartiles of seaweed consumption were 1 (reference), 0.72 (0.51 − 1.004), 0.71 (0.50 − 1.01), and 0.68 (0.47 − 0.96), respectively (P for trend = 0.03).
Conclusions
The present results suggest that seaweed consumption may be inversely associated with the prevalence of depressive symptoms during pregnancy in Japanese women.
Keywords
Background
Seaweed has been a very important part of the Japanese diet for many centuries and is an important source of fiber, minerals, vitamins, polysaccharides, and iodine. Seaweed is a rich source of bioactive metabolites, and compounds found in it have various biological activities including anticoagulant, anti-viral, antioxidant, anti-allergic, anti-cancer, anti-inflammatory, anti-obesity, and neuroprotective properties [1]. Nevertheless, epidemiological information concerning the effects of seaweed consumption has been scarce. Inverse associations have been reported between seaweed consumption and stomach cancer [2], colorectal cancer [3], allergic rhinitis [4], mortality from all causes, pancreatic cancer, lung cancer, kidney cancer, and cerebrovascular disease [5], breast cancer [6], and elevated blood pressure [7], while positive associations have been shown between seaweed consumption and prostate cancer [8], upper aerodigestive tract cancer [9], mortality from colon cancer [5], metabolic syndrome [10], and thyroid cancer [11].
Several lines of laboratory studies have provided insight into the neuroprotective effects of seaweed, suggesting that seaweed consumption might affect depressive symptoms in humans [1]. To our knowledge, there has been no epidemiological evidence regarding the relationship between seaweed consumption and depression. The current cross-sectional study aimed to investigate the association between seaweed consumption and depressive symptoms during pregnancy in Japanese women using baseline data from the Kyushu Okinawa Maternal and Child Health Study (KOMCHS).
Methods
Study population
The KOMCHS is an ongoing prospective prebirth cohort study that examines risk and preventive factors for maternal and child health problems. Details of the baseline survey of the KOMCHS have been described elsewhere [12]. Eligible women were those who became pregnant while living in one of seven prefectures on Kyushu Island in southern Japan, with a total population of approximately 13.26 million, or in Okinawa Prefecture, an island chain in the southwest of Japan, with a total population of nearly 1.37 million. Between April 2007 and March 2008, we requested that 423 obstetric hospitals in the above-mentioned eight prefectures provide as many pregnant women as possible with a set of leaflets explaining the KOMCHS, an application form to participate in the study, and a self-addressed and stamped return envelope. Pregnant women who were willing to participate in the KOMCHS returned the application form containing a written description of their personal information to the data management center. Upon receiving this personal information, research technicians gave each participant a detailed explanation of the KOMCHS by telephone and sent them a self-administered questionnaire after obtaining their agreement. In total, 1757 pregnant women between the 5th and 39th weeks of pregnancy gave their written informed consent to participate in the KOMCHS and completed the baseline survey. Excluded were 12 pregnant women with missing data on the variables under study; thus, data on 1745 pregnant women were used for analysis. The KOMCHS was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving human subjects were approved by the ethics committee of the Faculty of Medicine, Fukuoka University. The STROBE (Strengthening The Reporting of Observational studies in Epidemiology) guidelines were followed.
Measurements
In the baseline survey, each participant filled out a two-part questionnaire and mailed it to the data management center between the 5th and 39th week of pregnancy. Research technicians clarified or completed missing or unclear data by telephone.
The first part of the questionnaire collected information on age; gestation; region of residence; number of children; family structure; personal history of doctor-diagnosed depression; family history of depression; smoking habits; secondhand smoke exposure at home and at work; employment status; household income; and educational level. A family history of depression was considered to be present if one or more parents or siblings of the study subjects had been diagnosed with depression by a physician. Employment status was ascertained for the year when the baseline survey was conducted and the previous year; women were classified as being unemployed if they were unemployed both in the year when the baseline survey was conducted and in the preceding year.
Depressive symptoms were assessed by means of a Japanese version [13] of the Center for Epidemiologic Studies Depression Scale (CES-D) [14], which was incorporated into the first part of the questionnaire. This scale consists of 20 questions addressing six symptoms of depression, including depressed mood, feelings of guilt or worthlessness, helplessness or hopelessness, psychomotor retardation, loss of appetite, and sleep disturbance experienced during the preceding week. Each question is scored on a scale of 0 to 3 according to the frequency of the symptoms, and the total CES-D score ranges from 0 to 60. The criterion validity of the CES-D scale has been well established in adult Western [14] and Japanese [13] populations. Following the validation study, we defined depressive symptoms as present when a subject had a CES-D score ≥ 16.
The second part of the questionnaire was a semi-quantitative, comprehensive diet history questionnaire (DHQ) that assessed dietary habits during the preceding month [15, 16]. Estimates of daily consumption of foods (total of 150 foods), energy, and selected nutrients were calculated using an ad hoc computer algorithm for the DHQ based on the Standard Tables of Food Composition in Japan [17]. Seaweed consumption was calculated using semiquantitative frequency questions regarding two separate food items: Wakame or Hijiki and Nori. For each of the two food items, consumption frequency was estimated in terms of eight categories (ranging from “two or more times per day” to “less than once a month”), and relative portion size was estimated in terms of five categories: very small (50% or less), small (about 70-80%), medium (about 100%), large (about 20-30% larger), and very large (50% larger or more) of a standard portion size. Energy-adjusted consumption calculated according to the residual method was used for the analyses [18]. Body weight and height were self-reported as part of the DHQ. Body mass index was calculated as weight (kg) divided by the square of height (m).
Statistical analysis
Seaweed consumption was categorized at quartile points on the basis of the distribution of all study subjects. Age; gestation; region of residence; number of children; family structure; history of depression; family history of depression; smoking; secondhand smoke exposure at home and at work; job type; household income; education; body mass index; and consumption of fish and yogurt were selected a priori as potential confounding factors. Higher consumption levels of fish [12] and yogurt [19] were significantly associated with a lower prevalence of depressive symptoms during pregnancy in this population. Age, gestation, body mass index, and dietary confounding factors were used as continuous variables.
Logistic regression analysis was used to estimate crude odds ratios (ORs) and 95% confidence intervals (CIs) of depressive symptoms during pregnancy in relation to the quartile of seaweed consumption, with the lowest quartile as the reference. Multiple logistic regression analysis was used to adjust for potential confounding factors. Trend of association was assessed according to a logistic regression model assigning consecutive integers (1 to 4) to the quartiles of seaweed consumption. All computations were performed using the SAS software package version 9.2 (SAS Institute, Inc., Cary, NC, USA).
Results
Distribution of selected characteristics in 1745 pregnant women
Variable | n (%) |
|---|---|
Age, years, mean ± SD | 31.2 ± 4.3 |
Gestation, weeks, mean ± SD | 18.5 ± 5.4 |
Region of residence | |
Fukuoka Prefecture | 971 (55.6) |
Other than Fukuoka Prefecture in Kyushu | 592 (33.9) |
Okinawa Prefecture | 182 (10.4) |
Number of children | |
0 | 703 (40.3) |
1 | 690 (39.5) |
≥ 2 | 352 (20.2) |
Nuclear family structure | 1474 (84.5) |
History of depression | 84 (4.8) |
Family history of depression | 175 (10.0) |
Having ever smoked | 563 (32.3) |
Ever experiencing secondhand smoke exposure at home | 1315 (75.4) |
Ever experiencing secondhand smoke exposure at work | 1106 (63.4) |
Job typea | |
Unemployed | 705 (40.4) |
Professional or technical | 435 (24.9) |
Clerical or related occupation | 328 (18.8) |
Sales | 83 (4.8) |
Service | 115 (6.6) |
Production | 51 (2.9) |
Othersb | 28 (1.6) |
Household income, yen/year | |
< 4,000,000 | 632 (36.2) |
4,000,000 − 5,999,999 | 618 (35.4) |
≥ 6,000,000 | 495 (28.4) |
Education, years | |
< 13 | 428 (24.5) |
13 − 14 | 577 (33.1) |
≥ 15 | 740 (42.4) |
Body mass index, kg/m2, mean ± SD | 21.4 ± 2.8 |
Daily nutrient intakec | |
Total energy, kJ, mean ± SD | 7434.2 ± 2057.0 |
Seaweed, g, mean ± SD | 12.3 ± 12.7 |
Fish, g, mean ± SD | 46.7 ± 25.8 |
Yogurt, g, mean ± SD | 34.8 ± 39.5 |
Characteristics according to quartile of seaweed consumption in 1745 pregnant women
Quartile | |||||
|---|---|---|---|---|---|
Variable | 1 (Lowest) (n = 436) | 2 (n = 436) | 3 (n = 436) | 4 (Highest) (n = 437) | P for trenda |
Age, years, mean | 30.8 | 31.1 | 31.6 | 31.3 | 0.04 |
Gestation, weeks, mean | 18.5 | 18.4 | 18.5 | 18.7 | 0.67 |
Region of residence, % | 0.31 | ||||
Fukuoka Prefecture | 56.4 | 59.2 | 54.1 | 52.9 | |
Other than Fukuoka Prefecture in Kyushu | 34.6 | 30.7 | 36.0 | 34.3 | |
Okinawa Prefecture | 8.9 | 10.1 | 9.9 | 12.8 | |
Number of children, % | 0.77 | ||||
0 | 39.2 | 42.0 | 37.4 | 42.6 | |
1 | 39.2 | 39.0 | 44.7 | 35.2 | |
≥ 2 | 21.6 | 19.0 | 17.9 | 22.2 | |
Nuclear family structure, % | 85.8 | 83.9 | 85.8 | 82.4 | 0.28 |
History of depression, % | 5.5 | 4.8 | 4.4 | 4.6 | 0.48 |
Family history of depression, % | 10.3 | 11.5 | 8.7 | 9.6 | 0.45 |
Having ever smoked,% | 37.2 | 36.0 | 27.1 | 28.8 | 0.0007 |
Ever experiencing secondhand smoke exposure at home, % | 78.2 | 76.6 | 72.5 | 74.1 | 0.08 |
Ever experiencing secondhand smoke exposure at work, % | 64.9 | 64.5 | 62.2 | 62.0 | 0.29 |
Job typeb, % | 0.03 | ||||
Unemployed | 38.1 | 41.7 | 40.8 | 41.0 | |
Professional or technical | 21.1 | 23.6 | 28.0 | 27.0 | |
Clerical or related occupation | 22.7 | 17.0 | 17.9 | 17.6 | |
Sales | 6.0 | 4.6 | 5.1 | 3.4 | |
Service | 6.7 | 7.6 | 5.5 | 6.6 | |
Production | 3.9 | 3.9 | 1.6 | 2.3 | |
Othersc | 1.6 | 1.6 | 1.2 | 2.1 | |
Household income, yen/year, % | 0.11 | ||||
< 4,000,000 | 41.3 | 35.6 | 32.3 | 35.7 | |
4,000,000 − 5,999,999 | 33.3 | 35.8 | 34.9 | 37.8 | |
≥ 6,000,000 | 25.5 | 28.7 | 32.8 | 26.5 | |
Education, years, % | 0.10 | ||||
< 13 | 28.0 | 23.9 | 23.2 | 23.1 | |
13 − 14 | 31.9 | 32.3 | 36.7 | 31.4 | |
≥ 15 | 40.1 | 43.8 | 40.1 | 45.5 | |
Body mass index, kg/m2, mean | 21.7 | 21.4 | 21.4 | 21.4 | 0.11 |
Fish, g, meand | 40.3 | 45.7 | 49.2 | 51.8 | < 0.0001 |
Yogurt, g, meand | 32.4 | 32.4 | 36.4 | 38.1 | 0.01 |
Odds ratios (ORs) and 95% confidence intervals (CIs) for depressive symptoms during pregnancy by quartiles of seaweed consumption in 1745 pregnant women
Quartile | |||||
|---|---|---|---|---|---|
1 (Lowest) (n = 436) | 2 (n = 436) | 3 (n = 436) | 4 (Highest) (n = 437) | P for trend | |
Intake, g/daya | 2.4 | 5.6 | 12.6 | 28.6 | |
Depressive symptoms, %b | 24.8 | 18.8 | 17.0 | 16.5 | |
Crude OR (95% CI) | 1.00 | 0.70 (0.51 − 0.97) | 0.62 (0.45 − 0.86) | 0.60 (0.43 − 0.83) | 0.002 |
Adjusted OR (95% CI)c | 1.00 | 0.72 (0.51 − 1.004) | 0.71 (0.50 − 1.01) | 0.68 (0.47 − 0.96) | 0.03 |
Discussion
The current cross-sectional study revealed that, after adjustment for potential dietary and non-dietary confounding factors, higher seaweed consumption was independently associated with a lower prevalence of depressive symptoms during pregnancy. To the best of our knowledge, this study is the first to demonstrate the association between seaweed consumption and depressive symptoms.
The observed inverse association between seaweed consumption and depressive symptoms may be attributable to the neuroprotective properties of seaweed [1]. Yan et al. reported that Hijiki (Hijikia fusiformis) showed the strongest 1-diphenyl-2-picryl hydrazyl radical scavenging activity, followed by Wakame (Undaria pinnatifida), and that fucoxanthin, a major antioxidant, was the richest carotenoid in Hijiki [20]. Sangeetha et al. demonstrated that fucoxanthin had greater potential than β-carotene to modulate lipid perioxidation as well as the activity of catalase and glutathione transferase in the plasma and livers of retinol-deficient rats [21]. With respect to the anti-inflammatory properties of seaweed, dieckol, a compound isolated from the marine brown alga Ecklonia cava, significantly inhibited the release of nitric oxide, prostaglandin E2, interleukin-1β, and tumor necrosis factor-α in lipopolysaccharide-stimulated murine BV2 microglial cells via the down-regulation of nuclear factor-κB and p38 mitogen-activated protein kinase activation [22]. Alternatively, the other ingredients in seaweed may be preventive against depressive symptoms. For example, a significant inverse association between calcium intake and depression was found in two studies of Korean women [23, 24]. In the present study’s population, higher calcium intake was likewise significantly inversely related to the prevalence of depressive symptoms during pregnancy [19]. A systematic review concluded that higher magnesium intake also seemed to be associated with lower depressive symptoms [25].
The overall diet patterns of subjects who regularly eat seaweed may also be responsible for the observed inverse association. In the Japan Public Health Center-based Prospective Study, a prudent dietary pattern characterized by a high intake of vegetables, fruit, soy products, potatoes, seaweed, mushrooms, and fish was significantly associated with a reduced risk of suicide in both men and women [26]. Depression being a major precondition of suicide, this may indicate that diet health is inversely related to the severity of depressive symptoms.
Some methodological limitations of the present study warrant mention. The cross-sectional nature of the present study hampers the drawing of conclusions about causality.
Our DHQ could only approximate consumption and was designed to assess dietary intake for one month prior to completing the questionnaire. The present study subjects participated in the baseline survey at various points between the 5th and 39th week of pregnancy. The possibility of non-differential exposure misclassification would have biased the estimates of the observed association towards the null.
Depressive symptoms were assessed using the CES-D scale rather than structured diagnostic interviews. The CES-D includes questions on physical symptoms such as fatigue and physical discomfort, which are also typical complaints of pregnancy; the consequence of this symptom overlap could have been an overestimation of depression. The prevalence of depressive symptoms in this study was, however, lower than that in a representative sample of the Japanese general population: the prevalence of depressive symptoms (CES-D score of ≥ 16) was 30.7% in 2315 women aged 30–39 years [27]. Again, our study subjects took part in the baseline survey at various points between the 5th and 39th week of pregnancy. Therefore, it is difficult to accurately estimate the incidence and prevalence of depressive symptoms during pregnancy. The possibility of non-differential outcome misclassification would have given rise to an underestimation of our results.
We could not calculate the participation rate because we do not have exact figures for the number of pregnant women who were provided with a set of leaflets explaining the KOMCHS, an application form, and a self-addressed and stamped return envelope by the 423 collaborating obstetric hospitals. We were not able to assess the differences between participants and non-participants because information on personal characteristics such as age, socioeconomic status, and history of depression was not available for non-participants. Our subjects were probably not representative of Japanese women in the general population, however. For example, a population census conducted in 2000 in Fukuoka Prefecture found that the percentages of women aged 30 to 34 years with < 13, 13–14, ≥ 15, and an unknown number of years of education were 52.0%, 31.5%, 11.8%, and 4.8%, respectively [28]. The corresponding figures for this study were 24.5%, 33.1%, 42.4%, and 0.0%, respectively. Thus, our study subjects were more educated and probably more aware of health topics than women in the general population.
Although adjustment was made for several dietary and non-dietary confounding factors, residual confounding effects could not be ruled out.
Conclusion
The current cross-sectional study in Japan found that higher seaweed consumption is independently associated with lower prevalence of depressive symptoms during pregnancy. Seaweed is a popular traditional food that is widely consumed, irrespective of age or sex, in Japan. Further studies are necessary to confirm the beneficial effects of seaweed on depressive symptoms.
Abbreviations
- CES-D:
-
Center for Epidemiologic Studies Depression Scale
- CI:
-
Confidence interval
- DHQ:
-
Diet history questionnaire
- KOMCHS:
-
Kyushu Okinawa Maternal and Child Health Study
- OR:
-
Odds ratio.
Declarations
Acknowledgements
The authors would like to thank the Kyushu Branch of the Japan Allergy Foundation, the Fukuoka Association of Obstetricians & Gynecologists, the Okinawa Association of Obstetricians & Gynecologists, the Miyazaki Association of Obstetricians & Gynecologists, the Oita Association of Obstetricians & Gynecologists, the Kumamoto Association of Obstetricians & Gynecologists, the Nagasaki Association of Obstetricians & Gynecologists, the Kagoshima Association of Obstetricians & Gynecologists, the Saga Association of Obstetricians & Gynecologists, the Fukuoka Society of Obstetrics and Gynecology, the Okinawa Society of Obstetrics and Gynecology, the Fukuoka City Government, and the Fukuoka City Medical Association for their valuable support.
This research was supported by JSPS KAKENHI Grant Numbers 19590606, 20791654, 21590673, 22592355, 22119507, 24390158, 25463275, and 25670305, by Health and Labour Sciences Research Grants for Research on Allergic Disease and Immunology and Health Research on Children, Youth and Families from the Ministry of Health, Labour and Welfare, Japan, by Meiji Co. Ltd., and by the Food Science Institute Foundation.
Authors’ Affiliations
References
- Pangestuti R, Kim SK: Neuroprotective effects of marine algae. Mar Drugs. 2011, 9: 803-818. 10.3390/md9050803.View ArticlePubMedPubMed CentralGoogle Scholar
- Hoshiyama Y, Sasaba T: A case–control study of single and multiple stomach cancers in Saitama Prefecture, Japan. Jpn J Cancer Res. 1992, 83: 937-943. 10.1111/j.1349-7006.1992.tb02004.x.View ArticlePubMedGoogle Scholar
- Hoshiyama Y, Sekine T, Sasaba T: A case–control study of colorectal cancer and its relation to diet, cigarettes, and alcohol consumption in Saitama Prefecture, Japan. Tohoku J Exp Med. 1993, 171: 153-165. 10.1620/tjem.171.153.View ArticlePubMedGoogle Scholar
- Miyake Y, Sasaki S, Ohya Y, Miyamoto S, Matsunaga I, Yoshida T, Hirota Y, Oda H, The Osaka Maternal and Child Health Study Group: Dietary intake of seaweed and minerals and prevalence of allergic rhinitis in Japanese pregnant females: baseline data from the Osaka maternal and child health study. Ann Epidemiol. 2006, 16: 614-621. 10.1016/j.annepidem.2005.11.010.View ArticlePubMedGoogle Scholar
- Iso H, Kubota Y, Japan Collaborative Cohort Study for Evaluation of Cancer: Nutrition and disease in the Japan collaborative cohort study for evaluation of cancer (JACC). Asian Pac J Cancer Prev. 2007, 8 (Suppl): 35-80.PubMedGoogle Scholar
- Yang YJ, Nam SJ, Kong G, Kim MK: A case–control study on seaweed consumption and the risk of breast cancer. Br J Nutr. 2010, 103: 1345-1353. 10.1017/S0007114509993242.View ArticlePubMedGoogle Scholar
- Wada K, Nakamura K, Tamai Y, Tsuji M, Sahashi Y, Watanabe K, Ohtsuchi S, Yamamoto K, Ando K, Nagata C: Seaweed intake and blood pressure levels in healthy pre-school Japanese children. Nutr J. 2011, 10: 83-10.1186/1475-2891-10-83.View ArticlePubMedPubMed CentralGoogle Scholar
- Severson RK, Nomura AMY, Grove JS, Stemmermann GN: A prospective study of demographics, diet, and prostate cancer among men of Japanese ancestry in Hawaii. Cancer Res. 1989, 49: 1857-1860.PubMedGoogle Scholar
- Chyou PH, Nomura AMY, Stemmermann GN: Diet, alcohol, smoking and cancer of the upper aerodigestive tract: a prospective study among Hawaii Japanese men. Int J Cancer. 1995, 60: 616-621. 10.1002/ijc.2910600508.View ArticlePubMedGoogle Scholar
- Shin A, Lim SY, Sung J, Shin HR, Kim J: Dietary intake, eating habits, and metabolic syndrome in Korean men. J Am Diet Assoc. 2009, 109: 633-640. 10.1016/j.jada.2008.12.015.View ArticlePubMedGoogle Scholar
- Michikawa T, Inoue M, Shimazu T, Sawada N, Iwasaki M, Sasazuki S, Yamaji T, Tsugane S, Japan Public Health Center-based Prospective Study Group: Seaweed consumption and the risk of thyroid cancer in women: the Japan public health center-based prospective study. Eur J Cancer Prev. 2012, 21: 254-260. 10.1097/CEJ.0b013e32834a8042.View ArticlePubMedGoogle Scholar
- Miyake Y, Tanaka K, Okubo H, Sasaki S, Arakawa M: Fish and fat intake and prevalence of depressive symptoms during pregnancy in Japan: baseline data from the Kyushu Okinawa maternal and child health study. J Psychiatr Res. 2013, 47: 572-578. 10.1016/j.jpsychires.2013.01.012.View ArticlePubMedGoogle Scholar
- Shima S, Shikano T, Kitamura T, Asai M: New self-rated scale for depression (in Japanese). Jpn J Clin Psychiatry. 1985, 27: 717-723.Google Scholar
- Radloff LS: The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977, 1: 385-401. 10.1177/014662167700100306.View ArticleGoogle Scholar
- Sasaki S, Yanagibori R, Amano K: Self-administered diet history questionnaire developed for health education: a relative validation of the test-version by comparison with 3-day diet record in women. J Epidemiol. 1998, 8: 203-215. 10.2188/jea.8.203.View ArticlePubMedGoogle Scholar
- Sasaki S, Ushio F, Amano K, Morihara M, Todoriki T, Uehara Y, Toyooka T: Serum biomarker-based validation of a self-administered diet history questionnaire for Japanese subjects. J Nutr Sci Vitaminol. 2000, 46: 285-296. 10.3177/jnsv.46.285.View ArticlePubMedGoogle Scholar
- Science and Technology Agency: Standard Tables of Food Composition in Japan, Fifth Revised and Enlarged Edition. 2005, Tokyo: Printing Bureau of the Ministry of Finance, in JapaneseGoogle Scholar
- Willett W, Stampfer MJ: Total energy intake: implications for epidemiologic analyses. Am J Epidemiol. 1986, 124: 17-27.PubMedGoogle Scholar
- Miyake Y, Tanaka K, Okubo H, Sasaki S, Arakawa M: Intake of dairy products and calcium and prevalence of depressive symptoms during pregnancy in Japan: a cross-sectional study. BJOG. in pressGoogle Scholar
- Yan X, Chuda Y, Suzuki M, Nagata T: Fucoxanthin as the major antioxidant in Hijikia fusiformis, a common edible seaweed. Biosci Biotechnol Biochem. 1999, 63: 605-607. 10.1271/bbb.63.605.View ArticlePubMedGoogle Scholar
- Sangeetha RK, Bhaskar N, Baskaran V: Comparative effects of β-carotene and fucoxanthin on retinol deficiency induced oxidative stress in rats. Mol Cell Biochem. 2009, 331: 59-67. 10.1007/s11010-009-0145-y.View ArticlePubMedGoogle Scholar
- Jung WK, Heo SJ, Jeon YJ, Lee CM, Park YM, Byun HG, Choi YH, Park SG, Choi IW: Inhibitory effects and molecular mechanism of dieckol isolated from marine brown alga on COX-2 and iNOS in microglial cells. J Agric Food Chem. 2009, 57: 4439-4446. 10.1021/jf9003913.View ArticlePubMedGoogle Scholar
- Bae HS, Kim SY, Ahnv HS, Cho YK: Comparison of nutrient intake, life style variables, and pregnancy outcomes by the depression degree of pregnant women. Nutr Res Pract. 2010, 4: 323-331. 10.4162/nrp.2010.4.4.323.View ArticlePubMedPubMed CentralGoogle Scholar
- Bae YJ, Kim SK: Low dietary calcium is associated with self-rated depression in middle-aged Korean women. Nutr Res Pract. 2012, 6: 527-533. 10.4162/nrp.2012.6.6.527.View ArticlePubMedPubMed CentralGoogle Scholar
- Derom ML, Sayón-Orea C, Martínez-Ortega JM, Martínez-González MA: Magnesium and depression: a systematic review. Nutr Neurosci. 2013, 16: 191-206. 10.1179/1476830512Y.0000000044.View ArticlePubMedGoogle Scholar
- Nanri A, Mizoue T, Poudel-Tandukar K, Noda M, Kato M, Kurotani K, Goto A, Oba S, Inoue M, Tsugane S, Japan Public Health Center-based Prospective Study Group: Dietary patterns and suicide in Japanese adults: the Japan public health center-based prospective study. Br J Psychiatry. 2013, 203: 422-427. 10.1192/bjp.bp.112.114793.View ArticlePubMedGoogle Scholar
- Nagase Y, Uchiyama M, Kaneita Y, Li L, Kaji T, Takahashi S, Konno M, Mishima K, Nishikawa T, Ohida T: Coping strategies and their correlates with depression in the Japanese general population. Psychiatry Res. 2009, 168: 57-66. 10.1016/j.psychres.2008.03.024.View ArticlePubMedGoogle Scholar
- Statistics Bureau, Ministry of Public Management, Home Affairs, Posts and Telecommunications: 2000 Population Census of Japan, Vol. 3-2-40, Labour Force Status of Population, Industry (Major Groups) of Employed Persons, and Education: Fukuoka-ken. 2002, Tokyo: Statistics Bureau, Ministry of Public Management, Home Affairs, Posts and Telecommunications, in JapaneseGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2393/14/301/prepub
Pre-publication history
Copyright
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
