Literature DB >> 31996350

Association of soy and fermented soy product intake with total and cause specific mortality: prospective cohort study.

Ryoko Katagiri1, Norie Sawada2, Atsushi Goto1, Taiki Yamaji1, Motoki Iwasaki1, Mitsuhiko Noda3, Hiroyasu Iso4, Shoichiro Tsugane1.   

Abstract

OBJECTIVE: To investigate the association between several types of soy products and all cause and cause specific mortality.
DESIGN: Population based cohort study.
SETTING: Japan Public Health Centre-based Prospective Study, which includes 11 public health centre areas in Japan. PARTICIPANTS: 92 915 participants (42 750 men and 50 165 women) aged 45 to 74 years. EXPOSURES: Intake of total soy products, fermented soy products (natto and miso), non-fermented soy products, and tofu from a five year survey questionnaire. MAIN OUTCOME MEASURES: All cause and cause specific mortality (cancer, total cardiovascular disease, heart disease, cerebrovascular disease, respiratory disease, and injury) obtained from residential registries and death certificates.
RESULTS: During 14.8 years of follow-up, 13 303 deaths were identified. In the multivariable adjusted models, intake of total soy products was not significantly associated with total mortality. Compared with the lowest fifth of total soy product intake, the hazard ratios in the highest fifth were 0.98 (95% confidence interval 0.91 to 1.06, Ptrend=0.43) in men and 0.98 (0.89 to 1.08, Ptrend=0.46) in women. Intake of fermented soy products was inversely associated with all cause mortality in both sexes (highest versus lowest fifth: 0.90 (0.83 to 0.97), Ptrend=0.05 in men, and 0.89 (0.80 to 0.98), Ptrend=0.01 in women). Natto showed significant and inverse associations with total cardiovascular disease related mortality in both sexes.
CONCLUSIONS: In this study a higher intake of fermented soy was associated with a lower risk of mortality. A significant association between intake of total soy products and all cause mortality was not, however, observed. The findings should be interpreted with caution because the significant association of fermented soy products might be attenuated by unadjusted residual confounding. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

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Year:  2020        PMID: 31996350      PMCID: PMC7190045          DOI: 10.1136/bmj.m34

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


Introduction

Diet is a determinant of non-communicable diseases, which are responsible for more than 70% of deaths globally.1 One risk factor for such diseases is the shift from intake of traditional, plant based food to energy dense, high fat diets.2 The intake of soy products, which are still consumed in large amounts in Asian countries,3 might improve the nutrient intake levels in people with a low consumption of plant based food.4 5 Traditional Asian diets contain several types of processed soy products. Natto (soybeans fermented with Bacillus subtilis), miso (soybeans fermented with Aspergillus oryzae), tofu (soybean curd), and abura-age (fried tofu) are widely consumed in Japan (see supplementary table 1). Recent prospective studies have shown that intake of fermented soy products, not total soy intake, is associated with a lower risk of high blood pressure6 and that intake of natto (a fermented soy product) is associated with a reduction in cardiovascular disease related mortality.7 However, few epidemiological studies have focused on the effect of fermented soy product intake on mortality from causes other than cardiovascular disease. Moreover, two prospective studies that investigated the association between intake of total soy products and all cause mortality presented inconsistent data.8 9 Components of soy, such as isoflavone and fibre, were shown to have anticancer, anticardiovascular disease, cholesterol lowering, and weight loss effects.10 11 12 13 14 15 Because fermented soy products are made from whole soy beans, the characteristics of fermented soy products are a small loss of these nutrients and an abundance of bioactive components such as polyamine,16 or nattokinase in natto.17 We conducted a large scale prospective study on intake of total and fermented soy products in Japan with follow-up duration of approximately 15 years. Our aim was to investigate the association between intake of several types of soy products and all cause and cause specific mortality.

Methods

Study design

The Japan Public Health Centre-based Prospective Study comprises two cohorts: in the first cohort the baseline survey was initiated in 1990 and in the second cohort it was initiated in 1993.18 We conducted follow-up surveys at five and 10 years. Since the five year follow-up food frequency questionnaire includes more detailed information on diet than our baseline questionnaire,19 we used data from the five year survey as the baseline variables of this study.

Settings

We conducted the Japan Public Health Centre-based Prospective Study in 11 public health centres nationwide. The first cohort concerned five public health centre areas and the second concerned six. The five year survey, which was set as baseline in the present analyses, commenced in 1995 in the first cohort and in 1998 in the second cohort. At this point we collected questionnaires to obtain updated information on dietary habits, lifestyle, and health status. We followed eligible participants from the submission date of the five year survey to 31 December 2012, except for one Tokyo area in which participants were followed until 31 December 2009. Participants were followed until date of death, emigration overseas, or the last day of the follow-up period, whichever came first.

Participants

The first cohort comprised participants aged 45 to 64 years residing in five public health centre areas, whereas the second cohort comprised participants aged 45 to 74 years living in six public health centre areas at the time of the five year survey. Participants who responded to the five year questionnaires were eligible for participation in this study (response rate 76.2%). We followed death or migration of participants using the residential registry of the public health centre areas. Information on cause of death was obtained from death certificates with permission of the Japanese Ministry of Health, Labour, and Welfare.

Variables

Exposures were intake of total soy products, fermented soy products (including natto and miso), and non-fermented soy products (including tofu). The main outcomes were all cause and cause specific mortality from five main causes of death in Japan: cancer, total cardiovascular diseas (including heart disease and cerebrovascular disease), respiratory disease, and injury. Other variables included body mass index (BMI), smoking status, alcohol intake, leisure time physical exercise or sport, self reported history of diabetes or use of drugs for diabetes, use of antihypertensives, consumption of coffee and green tea, health check-ups, menopause status in women, exogenous female hormone use in women, and dietary intakes such as total energy intake and intake of vegetables, fruit, fish, and meat.

Data sources and measurements

The five year food frequency questionnaire included 138 foods and beverages. Participants were asked about the frequency of intake and portion size for each item consumed over the previous year (see supplementary table 1).19 To calculate miso intake (g/day) we multiplied the amount of miso soup consumed by 0.08 because this soup comprises about 92% water and 8% miso based on its standard recipe. The validity of the questionnaire was assessed using a dietary record kept by a subsample of the cohort for 14 or 28 days. Assessments of the validity and reproducibility for nutrient data acquired using the food frequency questionnaire have been reported previously.20 21 Spearman’s correlation coefficients between the energy adjusted intake of soy products from the food frequency questionnaire and those from dietary records were 0.53 in men and 0.49 in women from the first cohort and 0.52 and 0.54, respectively, from the second cohort.20 21 Reproducibility between the estimates for soy foods that were one year apart were 0.64 in the first cohort and 0.57 in the second cohort for men and 0.67 and 0.44, respectively, for women.21 22 We traced death or migration of participants using the residential registry of the public health centre areas. Information on cause of death was obtained from death certificates with permission of the Japanese Ministry of Health, Labour, and Welfare. ICD-10 codes (international classification of diseases and related health problems, 10th revision) were assigned to causes of death. All cause mortality and five main causes of death were assessed: cancer (codes C00-C97), total cardiovascular disease mortality (I00–I99), heart disease (I20–I52), cerebrovascular disease (I60–I69), respiratory disease (J10–J18 and J40–J47), and injury (V01–Y09 and Y85–Y86). Self reported anthropometric data, information on lifestyle, and medical and smoking histories were assessed with a self administered questionnaire as part of the five year survey.

Quantitative variables

We used the residual method to adjust the amount of soy products for total energy intake. The amount of total soy products was the sum of consumed tofu, yushidofu, koyadofu, abura-age, natto, soy milk, and miso (calculated from miso soup). Intakes of fermented soy products were calculated as the sum of natto and miso, whereas non-fermented soy products included tofu, yushidofu, koyadofu, abura-age, and soy . The intake of total soy products, fermented soy products, non-fermented soy products, natto, miso, and tofu (that is, the sum of tofu, yushidofu, and koyadofu) were incorporated into the individual statistical model. We divided participants into fifths of intake for each of these products, except for natto, by sex, and the lowest category was used as the reference. As more than 12 000 participants answered that they did not eat natto, the first fifth of natto intake comprised those who did not eat natto (n=12 450 men and 12 227 women); the remaining participants were divided into quarters.

Statistical analysis

Hazard ratios and corresponding 95% confidence intervals were calculated for the association between soy product intake and all cause and cause specific mortality using Cox proportional hazards regression models. We estimated P for trend values with regression models in which ordinal values for each category of soy products were used as continuous variables. Models were adjusted for potential confounding factors. Model 1 included age at the five year survey (continuous) and public health centre area. Model 2 was additionally adjusted for BMI at the five year survey (<21, 21-≤23, 23-25, and >25 kg/m2), smoking status (never, former, <20 cigarettes/day, and ≥20 cigarettes/day), alcohol intake (never, occasional, <150 g/week, and ≥150 g/week), leisure time physical exercise or sports (almost never, ≥once/month, and ≥3 times/week), self reported history of diabetes or taking drugs for diabetes (yes or no), taking antihypertensives (yes or no), consumption of coffee and green tea (almost never, >1 cup/week, >1 cup/day, >2 cups/day, and >4 cups/day), undergoing health check-ups (yes or no), menopause status in women (premenopausal or postmenopausal), exogenous female hormone use in women (yes or no), total energy intake (fifths), and energy adjusted amount of vegetables, fruit, fish, and meat (fifths). We further adjusted for area deprivation index, developed previously—this indicator reflects neighbourhood, rather than individual, deprivation level.23 24 We conducted the same analyses after the exclusion of participants who died during the first three years. Overall, 278 (0.3%) study participants were lost to follow-up during the period. For them, we treated the last confirmed date as the censoring date. We calculated age adjusted and area adjusted cumulative mortality rate at 10 years in each fifth of soy product intake using the PROC PHREG BASELINE statement (SAS Institute, Cary, NC). Multiple imputations of missing values were performed for covariates (BMI, smoking, alcohol intake, physical exercise, coffee intake, green tea intake, use of exogenous female hormones (women only), and menopausal status (women only)) using multivariate normal imputation. All covariates, follow-up durations, and mortality statuses were included in the model for imputation using the SAS PROC MI procedure.25 We conducted 10 rounds of multiple imputations, then combined them into final estimates according to Rubin’s rule (SAS PROC MIANALYZE procedure).25 P values were two sided, with P<0.05 considered statistically significant. Statistical analyses were conducted using the SAS software, version 9.4. (SAS Institute, Cary, NC).

Patient and public involvement

Patients were not involved in the study design, implementation, or setting the research questions or the outcome measures directly. Participants in the Japan Public Health Centre-based Prospective Study are community residents and we have held regular meetings with health practitioners in study areas to obtain opinions on health practice since the beginning of this study.

Results

Figure 1 shows the number of eligible participants and participants analysed in this study. Participants with a self reported history of cancer, stroke, or myocardial infarction during the five year period or with a history of these diseases were excluded (n=4634) as were 5923 participants who reported extreme energy intakes (ie, <2.5 and >97.5 centiles). In total, 92 915 participants (42 750 men and 50 165 women) were included in the analysis. Table 1 presents the baseline characteristics of the participants, divided into fifths of total soy product consumption, and the number of those with missing values. Among both sexes, those with a higher consumption of soy products tended to be older, have a higher BMI, and be less likely to be current smokers. Supplementary tables 2 to 4 show the characteristics of the participants divided into fifths of intake of fermented soy product, natto, and miso, respectively. Participants with a higher intake of fermented soy products or miso were older, whereas the trend of age according to the categories of natto consumption was U-shaped. The percentage of current smokers was lower in the highest category of fermented soy or natto intake than that in the lowest category, whereas a higher percentage of current smokers was observed in the highest category of miso intake compared with the lowest category in men. The mean follow-up period was 14.8 years, and the total person years were 1 374 643, with 13 303 reported deaths (8370 men and 4933 women).
Fig 1

Flow of participants through study

Table 1

Baseline characteristics of study participants according to fifth of total soy product intake. Values are numbers (percentages) unless stated otherwise

CharacteristicsMen (n=42 750)*Women (n=50 165)*
First (lowest intake)SecondThirdFourthFifth (highest intake)First (lowest intake)SecondThirdFourthFifth (highest intake)
No of participants8550855085508550855010 03310 03310 03310 03310 033
Mean (SD) age (years)55.1 (8.0)55.9 (7.8)56.2 (7.6)56.7 (7.5)57.6 (7.5)55.8 (8.4)56.4 (8.0)56.5 (7.8)57.0 (7.5)58.0 (7.4)
Mean (SD) body mass index (kg/m2)23.5 (2.9)23.5 (2.8)23.6 (2.8)23.6 (2.8)23.8 (2.9)23.2 (3.2)23.3 (3.1)23.4 (3.1)23.5 (3.1)23.9 (3.2)
Current smoker4220 (52.0)4005 (49.2)3804 (46.6)3687 (45.3)3380 (41.8)835 (9.0)565 (6.0)482 (5.1)439 (4.6)424 (4.5)
Alcohol intake (≥1 day/week)5833 (69.0)6064 (71.5)6002 (70.9)5733 (67.6)5323 (63.3)1732 (17.9)1509 (15.5)1375 (14.1)1116 (11.4)917 (9.4)
Diabetes mellitus504 (5.9)564 (6.6)573 (6.7)599 (7.0)755 (8.8)330 (3.3)322 (3.2)312 (3.1)363 (3.6)471 (4.7)
Antihypertensive drugs1320 (15.4)1487 (17.4)1543 (18.1)1635 (19.1)1811 (21.2)1659 (16.5)1871 (18.7)1926 (19.2)1966 (19.6)2329 (23.2)
Health check-up6708 (78.5)7061 (82.6)7132 (83.4)7178 (84.0)7081 (82.8)8063 (80.4)8459 (84.3)8570 (85.4)8677 (86.5)8573 (85.5)
Sports or physical exercise (almost every day)395 (4.8)424 (5.1)423 (5.1)492 (6.0)528 (6.5)426 (4.5)503 (5.2)507 (5.3)533 (5.5)631 (6.7)
Postmenopausal-----6503 (69.3)7080 (74.3)7189 (75.7)7500 (78.9)7677 (82.6)
Use of exogenous female hormones-----254 (2.7)239 (2.5)246 (2.6)263 (2.8)270 (2.9)
Coffee intake (>once/day)3567 (44.3)3076 (37.7)2650 (32.5)2409 (29.5)2079 (26.0)4719 (50.0)3918 (40.7)3511 (36.5)2989 (31.2)2611 (27.8)
Green tea intake (>once/day)4010 (49.6)4845 (58.7)5058 (61.2)5028 (60.7)4796 (58.0)5467 (57.8)6210 (64.0)6361 (65.7)6155 (63.2)5512 (57.2)
Median (interquartile range) dietary intake†:
 Energy (kcal/day)2035 (1643-2494)2140 (1744-2607)2129 (1747-2575)2091 (1711-2557)1993 (1615-2487)1742 (1403-2164)1819 (1485-2244)1815 (1498-2209)1778 (1461-2168)1716 (1384-2128)
 Fruit (g/day)115 (51-201)130 (66-219)143 (77-231)149 (79-237)146 (78-239)184 (104-294)203 (127-310)207 (129-309)204 (129-304)193 (118-291)
 Vegetables (g/day)129 (81-193)157 (107-224)172 (119-245)177 (120-252)194 (128-281)163 (110-233)190 (136-265)206 (148-283)212 (152-289)220 (151-309)
 Fish (g/day)71 (47-105)78 (53-112)81 (56-114)82 (56-116)79 (53-115)70 (46-100)78 (53-107)80 (56-109)80 (56-109)75 (50-107)
 Meat (g/day)59 (37-89)57 (36-84)55 (35-80)52 (33-78)49 (29-75)53 (33-80)51 (33-77)49 (31-71)47 (29-69)43 (25-66)
 Total soy products (g/day)‡37 (27-46)67 (60-73)92 (85-98)121 (112-130)178 (157-221)37 (27-45)64 (58-70)87 (81-93)115 (107-124)174 (151-221)
 Natto (g/day)2.5 (1.1-6.9)5.9 (1.5-13.3)10.0 (2.5-19.8)13.6 (3.9-28.0)16.2 (2.8-36.3)3.4 (1.3-7.9)7.3 (2.0-15.0)11.8 (4.0-22.2)15.5 (5.3-28.8)17.4 (4.1-36.8)
 Miso (g/day)6.7 (3.1-11.1)14.8 (9.6-21.7)22.1 (13.5-28.9)26.3 (17.6-34.7)28.8 (19.0-39.3)6.0 (2.7-9.9)12.2 (7.7-17.9)17.6 (10.7-24.5)22.3 (13.4-29.2)24.4 (14.7-33.5)
 Tofu (g/day)17 (10-17)26 (17-38)32 (21-47)44 (28-64)80 (48-121)18 (11-25)28 (19-39)35 (24-49)48 (32-65)83 (52-124)

Numbers of missing men and women were, respectively, 942 and 1347 for body mass index, 2112 and 3134 for smoking, 455 and 1396 for alcohol consumption, 1569 and 2280 for physical exercise, 2232 and 2482 for coffee intake, and 1583 and 1947 for green tea intake. 2745 women were missing for use of exogenous female hormones and 2954 for menopausal status.

Food intakes were adjusted for energy intake using the residual method.

Sum of seven soy foods in the questionnaire. Along with total soy products, the table shows the amount of main soy products. The amount of miso was calculated from the amount of miso soup. Total tofu intake was calculated as the sum of the amount of tofu, tofu in miso soup, and other tofu products.

Flow of participants through study Baseline characteristics of study participants according to fifth of total soy product intake. Values are numbers (percentages) unless stated otherwise Numbers of missing men and women were, respectively, 942 and 1347 for body mass index, 2112 and 3134 for smoking, 455 and 1396 for alcohol consumption, 1569 and 2280 for physical exercise, 2232 and 2482 for coffee intake, and 1583 and 1947 for green tea intake. 2745 women were missing for use of exogenous female hormones and 2954 for menopausal status. Food intakes were adjusted for energy intake using the residual method. Sum of seven soy foods in the questionnaire. Along with total soy products, the table shows the amount of main soy products. The amount of miso was calculated from the amount of miso soup. Total tofu intake was calculated as the sum of the amount of tofu, tofu in miso soup, and other tofu products.

All cause mortality

Table 2 shows the hazard ratios and corresponding 95% confidence intervals for all cause mortality according to the amount of consumed total, fermented, and non-fermented soy products. In both sexes, total soy product intake was marginally inversely associated with all cause mortality after adjustment for age and area. After further adjustment for potential confounding factors, the associations were attenuated. Compared with the lowest fifth of intake, the hazard ratios in the highest fifth were 0.98 (95% confidence interval 0.91 to 1.06, Ptrend=0.43) in men and 0.98 (0.89 to 1.08, Ptrend=0.46) in women. Fermented soy intake was inversely associated with all cause death after adjusting for potential confounding factors. Compared with the lowest fifth of intake, the hazard ratios in the highest fifth were 0.90 (0.83 to 0.97, Ptrend=0.05) in men and 0.89 (0.80 to 0.98, Ptrend=0.01) in women. Intake of non-fermented soy products was not significantly associated with all cause mortality.
Table 2

Risk of all cause mortality according to fifths of total soy, fermented soy, and non-fermented soy product intake in Japanese men and women. Values are hazard ratios (95% confidence intervals) unless stated otherwise

VariablesMen (n=42 750)Ptrend Women (n=50 165)Ptrend
FirstSecondThirdFourthFifthFirstSecondThirdFourthFifth
Total soy products*:
 Intake (g/day)<53.253.2-79.279.2-104.6104.6-141.3>141.3<51.651.6-75.375.3-99.799.7-135.9>135.9
 No of deaths153115931626167619449429589179771139
 Cumulative mortality rate (%)†7.306.766.536.296.822.782.652.442.472.61
  Model 1‡1.000.92 (0.86 to 0.99)0.89 (0.83 to 0.96)0.86 (0.80 to 0.92)0.93 (0.87 to 1.00)0.031.000.96 (0.87 to 1.05)0.88 (0.80 to 0.96)0.89 (0.81 to 0.98)0.94 (0.86 to 1.03)0.09
  Model 2§1.000.96 (0.89 to 1.03)0.94 (0.87 to 1.01)0.91 (0.84 to 0.98)0.98 (0.91 to 1.06)0.431.001.01 (0.92 to 1.11)0.95 (0.86 to 1.04)0.96 (0.87 to 1.06)0.98 (0.89 to 1.08)0.46
Fermented soy products¶:
 Intake (g/day)<13.413.4-24.124.1-35.235.3-50.2>50.2<12.512.5-22.222.2-32.932.9-46.6>46.6
 No of deaths1657153016001763182010339559259631057
 Cumulative mortality rate (%)†7.326.636.566.866.402.882.672.502.462.49
  Model 1‡1.000.90 (0.84 to 0.97)0.89 (0.83 to 0.96)0.93 (0.87 to 1.01)0.87 (0.81 to 0.94)0.0091.000.92 (0.85 to 1.01)0.87 (0.79 to 0.95)0.85 (0.77 to 0.94)0.86 (0.78 to 0.95)0.002
  Model 2§1.000.92 (0.85 to 0.98)0.91 (0.85 to 0.98)0.95 (0.88 to 1.03)0.90 (0.83 to 0.97)0.051.000.95 (0.87 to 1.04)0.91 (0.83 to 1.00)0.90 (0.81 to 0.99)0.89 (0.80 to 0.98)0.01
Non-fermented soy products**:
 Intake (g/day)<17.317.3-28.328.3-45.543.5-72.9>72.9<19.219.2-30.730.7-45.945.9-74.7>74.7
 No of deaths1654151516411723183710549098609631147
 Cumulative mortality rate (%)†7.176.386.656.566.712.872.512.272.512.73
  Model 1‡1.000.89 (0.83 to 0.95)0.92 (0.86 to 0.99)0.91 (0.85 to 0.98)0.93 (0.87 to 1.00)0.171.000.87 (0.80 to 0.95)0.79 (0.72 to 0.95)0.87 (0.80 to 0.95)0.95 (0.87 to 1.04)0.31
  Model 2§1.000.94 (0.87 to 1.01)1.00 (0.93 to 1.07)0.99 (0.92 to 1.06)1.01 (0.94 to 1.09)0.321.000.93 (0.85 to 1.02)0.84 (0.77 to 0.93)0.95 (0.86 to 1.04)1.00 (0.92 to 1.10)0.80

Sum of natto, miso, three kinds of tofu (tofu, yushidofu, and koyadofu), fried tofu (abura-age), and soy.

Age and geographical area adjusted mortality risk at 10 years.

Adjusted for age and geographical area.

Adjusted for age, geographical area, smoking, frequency of alcohol intake, body mass index, sports or physical exercise, history of diabetes or taking drugs for diabetes, taking antihypertensives, health check-up, total energy intake, and intake of green tea, coffee, fish, meat, fruit, and vegetables.

Sum of natto and miso.

Tofu, abura-age, and soy milk.

Risk of all cause mortality according to fifths of total soy, fermented soy, and non-fermented soy product intake in Japanese men and women. Values are hazard ratios (95% confidence intervals) unless stated otherwise Sum of natto, miso, three kinds of tofu (tofu, yushidofu, and koyadofu), fried tofu (abura-age), and soy. Age and geographical area adjusted mortality risk at 10 years. Adjusted for age and geographical area. Adjusted for age, geographical area, smoking, frequency of alcohol intake, body mass index, sports or physical exercise, history of diabetes or taking drugs for diabetes, taking antihypertensives, health check-up, total energy intake, and intake of green tea, coffee, fish, meat, fruit, and vegetables. Sum of natto and miso. Tofu, abura-age, and soy milk. Table 3 shows the associations between all cause mortality and consumption of soy products (natto, miso, and tofu). The intake of soy products was not significantly associated with total mortality in men, whereas in women intakes of natto and miso were inversely associated with all cause mortality (hazard ratios in the highest fifth of intake were 0.84 (Ptrend=0.001) for natto and 0.89 (Ptrend=0.03) for miso).
Table 3

Hazard ratios (95% confidence intervals) of all cause mortality according to fifth of soy product intake in Japanese men and women

VariablesMen (n=42 750)*Ptrend Women (n=50 165)*Ptrend
FirstSecondThirdFourthFifthFirstSecondThirdFourthFifth
Natto:
 Intake (g/day)01.1-6.76.7-13.513.5-26.2>26.201.0-7.07.0-14.114.1-26.2>26.2
 No of deaths276513341356138615291608743827821934
 Cumulative mortality rate (%)†7.346.786.736.406.083.172.432.642.362.45
 Model 1‡1.000.92 (0.86 to 0.99)0.92 (0.85 to 0.99)0.87 (0.81 to 0.94)0.82 (0.76 to 0.89)<0.00011.000.77 (0.70 to 0.84)0.83 (0.75 to 0.91)0.74 (0.67 to 0.82)0.77 (0.70 to 0.85)<0.0001
 Model 2§1.000.98 (0.91 to 1.05)1.00 (0.93 to 1.08)0.96 (0.89 to 1.03)0.94 (0.87 to 1.02)0.101.000.81 (0.74 to 0.89)0.90 (0.82 to 0.99)0.81 (0.74 to 0.90)0.84 (0.76 to 0.93)0.001
Miso:
 Intake (g/day)<7.77.7–14.314.3–22.522.5–31.1>31.1<6.46.4–11.711.7–18.618.6–26.3>26.3
 No of deaths156415591611166219749899059669531120
 Cumulative mortality rate (%)†7.216.536.486.787.092.952.492.482.452.60
 Model 1‡1.000.90 (0.84 to 0.97)0.90 (0.83 to 0.96)0.90 (0.83 to 0.96)0.98 (0.91 to 1.06)0.901.000.84 (0.77 to 0.92)0.84 (0.77 to 0.92)0.83 (0.75 to 0.91)0.88 (0.80 to 0.96)0.02
 Model 2§1.000.94 (0.87 to 1.01)0.92 (0.85 to 0.98)0.91 (0.85 to 0.98)0.95 (0.87 to 1.02)0.201.000.89 (0.81 to 0.97)0.87 (0.80 to 0.95)0.89 (0.81 to 0.98)0.89 (0.81 to 0.97)0.03
Tofu:
 Intake (g/day)<16.416.4-26.526.5-39.539.5-64.2>64.2<18.018.0-28.628.6-41.541.5-64.8>64.8
 No of deaths1670153716151722182610859178979381096
 Cumulative mortality rate (%)†7.216.446.586.566.622.932.522.372.432.60
 Model 1‡1.000.89 (0.83 to 0.95)0.91 (0.85 to 0.97)0.91 (0.85 to 0.97)0.92 (0.85 to 0.98)0.051.000.86 (0.79 to 0.94)0.81 (0.74 to 0.88)0.83 (0.76 to 0.90)0.89 (0.81 to 0.97)0.006
 Model 2§1.000.94 (0.87 to 1.01)0.97 (0.91 to 1.04)0.98 (0.91 to 1.05)0.99 (0.92 to 1.06)0.881.000.92 (0.84 to 1.00)0.86 (0.79 to 0.95)0.90 (0.82 to 0.99)0.95 (0.86 to 1.03)0.21

Except for natto intake the first to fifth categories comprised 8550 men and 10 330 women. The first fifth of natto intake included participants who did not eat natto (n=12 450 men and 12 227 women). The remaining participants were divided into quarters and are shown in the second to fifth categories (7575 men and 9484, 9485, 9484, and 9485 women from the second to fifth categories, respectively). The first category comprises the lowest amount of soy product consumption and the fifth category is the highest.

Age and area adjusted mortality risk at 10 years.

Adjusted for age and geographical area.

Adjusted for age, geographical area, smoking, frequency of alcohol intake, body mass index, sports or physical exercise, history of diabetes or taking drugs for diabetes, taking antihypertensives, health check-up, postmenopausal status (women only), use of exogenous female hormones (women only), total energy intake, and the intake of green tea, coffee, fish, meat, fruit, and vegetables.

Hazard ratios (95% confidence intervals) of all cause mortality according to fifth of soy product intake in Japanese men and women Except for natto intake the first to fifth categories comprised 8550 men and 10 330 women. The first fifth of natto intake included participants who did not eat natto (n=12 450 men and 12 227 women). The remaining participants were divided into quarters and are shown in the second to fifth categories (7575 men and 9484, 9485, 9484, and 9485 women from the second to fifth categories, respectively). The first category comprises the lowest amount of soy product consumption and the fifth category is the highest. Age and area adjusted mortality risk at 10 years. Adjusted for age and geographical area. Adjusted for age, geographical area, smoking, frequency of alcohol intake, body mass index, sports or physical exercise, history of diabetes or taking drugs for diabetes, taking antihypertensives, health check-up, postmenopausal status (women only), use of exogenous female hormones (women only), total energy intake, and the intake of green tea, coffee, fish, meat, fruit, and vegetables.

Cause specific mortality

Tables 4 and 5 show the hazard ratios for cause specific mortality according to fifth of soy product intake for men and women, respectively. The intakes of all kinds of soy products were not significantly associated with cancer related mortality. A significant association commonly observed was the inverse association between natto intake and total cardiovascular disease related mortality (ICD-10: I00–I99) in both men and women (hazard ratios for the highest fifths of intake were 0.76 (0.65 to 0.90, Ptrend=0.002) in men and 0.79 (0.65 to 0.95, Ptrend=0.01) in women). Increased intake of fermented soy products was significantly associated with decreased total cardiovascular disease related mortality in men (hazard ratio for the highest fifth of intake was 0.82 (0.70 to 0.97, Ptrend=0.04)); this association was not significant in women (0.89 (0.73 to 1.07, Ptrend=0.25)). Supplemental tables 5 and 6 show the results of the sensitivity analyses. The associations between intake of fermented soy products and all cause mortality were marginal after the exclusion of patients who died within the first three years (hazard ratios for the highest fifth of intake were 0.90 (0.83 to 0.98, Ptrend=0.13) in men and 0.91 (0.82 to 1.01, Ptrend=0.05 in women)). The results were similar when the model was further adjusted for area deprivation index. Multivariable adjusted hazard ratios (95% confidence intervals) of major causes of death and numbers of deaths according to fifths of soy product intake in Japanese men. Row numbers are deaths Model 2 is adjusted for age, area, smoking, frequency of alcohol intake, body mass index, sports or physical exercise, history of diabetes or taking drugs for diabetes, taking antihypertensives, health check-up, total energy intake, and intake of green tea, coffee, fish, meat, fruit, and vegetables. Except for natto intake, the first to fifth categories comprised 8550 men. The first category of natto intake included participants who did not eat natto (n=12450). The remaining participants were divided into quarters and are shown in the second to fifth categories (7575 in men). Multivariable adjusted hazard ratios (95% confidence intervals) of major causes of death and numbers of deaths according to fifths of soy product intake in Japanese women. Row numbers are deaths Model 2 is adjusted for age, area, smoking, frequency of alcohol intake, body mass index, sports or physical exercise, history of diabetes or taking drugs for diabetes, taking antihypertensives, health check-up, total energy intake, intake of green tea, coffee, fish, meat, fruit, and vegetables. Except for natto intake, the first to fifth categories comprised 10 330 women. The first category of natto intake included participants who did not eat natto (n=12 227). The remaining participants were divided into quarters and are shown in the second to fifth categories (9484, 9485, 9484, and 9485, respectively).

Discussion

This large prospective study investigated the association between intake of several kinds of soy products and mortality. The findings showed that the consumption of total soy products was not significantly associated with a decrease in all cause mortality, whereas intake of fermented soy products was significantly inversely associated with all cause mortality in both sexes. The risk of mortality in the highest fifth of fermented soy intake, including natto and miso, was 10% lower than that in the lowest fifth. Intake of non-fermented soy products was not significantly associated with all cause mortality. Although a significant reduction in mortality was observed, our findings should be interpreted with caution because unadjusted residual confounding might remain and attenuate the association of fermented soy products. Moreover, other caution is needed because these associations were shown epidemiologically and do not translate directly to clinical benefit.

Strengths and limitations of this study

The main strengths of this study are its prospective design, relatively large sample size, high response rate, low rate of loss to follow-up, and long duration of follow-up; these attributes allowed for the recording of the main causes of death. Information on deaths was obtained from the registries of each participating public health centre, thereby limiting potential bias. The Japan Public Health Centre-based Prospective Study includes populations from various areas in Japan, encompassing individuals with a wide range of soy product intake, and the obtained data allowed for the investigation of the association between the intake of a variety of soy products and mortality. Our study does have several limitations. The most important one was that we could not eliminate residual unmeasured confounding completely. Although we adjusted for known and measured factors and excluded known diseases diagnosed before baseline, such as cancer, stroke, or myocardial infarction, we could not adjust for socioeconomic status variables other than the area deprivation index or diseases other than diabetes and hypertension. It could be speculated that the higher prevalence of diabetes or hypertension in the high consumption group might reflect an accurate diagnosis of individuals in these groups. According to our previous study,26 however, although the positive predictive value of self reported diabetes was 94% and specificity was 99% in our study, around 4% of participants were unaware of their diabetes status and did not answer that they had diabetes in the survey questionnaire but were identified by laboratory data.27 Thus, although people without self reported diabetes might be a cause of residual confounding, it is implausible that the prevalence of diabetes in each fifth of soy product intake influenced the mortality in our study. In addition, soy based foods could have been consumed with vegetables or fruit.28 This might have led to the lower mortality in the high consumption group. Although we adjusted for the intake of food groups and measured variables, other lifestyle variables, including unmeasured factors, might be associated with mortality. Secondly, measurement errors are inherent because of the self reported nature of the food frequency questionnaire. However, these misclassifications were likely to attenuate the associations described. Thirdly, the intake of soy products was assessed at a single time point, although participants’ dietary habits could have changed during the follow-up period. The Spearman’s rank correlation coefficients for intake of total soy products between the five year survey and 10 year survey were 0.42 in both sexes. This dietary change might attenuate the association shown in this study. Finally, although our prospective study in a country with a relatively high consumption of soy products allowed for the investigation of the association between soy product intake and mortality, the generalisability of our findings to other populations is limited and further studies are required for replication.

Comparison with other studies, interpretation, and implication for all cause mortality

Although soy products are regularly consumed in Asia, even Asian studies focusing on the effects of soy consumption on health have been inconsistent.8 9 A prospective study of residents in a single city that investigated the intake of total soy products and isoflavone revealed a marginal inverse association between intake of total soy products and all cause mortality in both men and women.8 Another study showed a U-shaped association between the frequency of soy intake and death only in men, whereas intake of soy products was not significantly associated with death when both men and women were analysed together.9 Our large prospective study with a long follow-up presented a novel result, in that the intake of fermented soy products was associated with a reduced risk of overall death in men and women. Moreover, in terms of dose-response, a reduction in the mortality risk from fermented soy intake was noted between the first and second fifths on intake; this trend did not significantly change after the exclusion of participants who died within the first three years. Therefore, we suggest as a public health implication that the avoidance of a low intake of fermented soy products might lower the risk of mortality, although further studies are required to examine the clinical meanings for soy intake.

Interpretation for cause specific mortality

In our study increased consumption of fermented soy products was associated with decreased cardiovascular disease associated mortality, particularly in men. Natto intake was significantly associated with lower cardiovascular disease associated mortality in both men and women. A recent Japanese study focusing on the association between natto intake and cardiovascular disease related mortality7 showed results that were consistent with ours. Although both miso and natto are fermented soy products, only natto intake showed a significant reduction in cardiovascular disease related mortality in our study, possibly because its sodium content (a risk factor for cardiovascular disease29) is lower than that of miso.30 Other studies that examined the association between cardiovascular disease related mortality and total soy intake or isoflavone intake showed inconsistent results.29 31 32 In prospective studies including Spanish and Singaporean-Chinese participants, no associations between isoflavone or dietary soy intake and cardiovascular disease related mortality were found,33 which was attributed to lower intake of soy foods (especially those of fermented soy products) in those countries than in Japan.34 Furthermore, we found no association between soy product intake and all cancer related mortality. The association between soy intake and the incidence of several types of cancers has been investigated previously,10 and studies in both Asian and Western countries showed an association between higher soy consumption and a reduced risk of mortality in women with breast cancer.35 36 Evidence in relation to other cancers is not well established. Isoflavone is a risk factor for some cancers but not for others, so this could explain our null findings.37 38

Possible mechanisms

The bioactive components of soy products might modulate their effects on mortality. Studies on the association between soy consumption and cardiovascular disease7 29 31 32 implied important roles for nutrients such as isoflavone, fibre, and potassium. Isoflavone was found to have blood pressure reducing and lipid profile improving properties in meta-analyses,39 40 whereas soy fibre was shown to lower cholesterol levels and induce weight loss in humans.14 15 Moreover, a prospective study in the United States showed that an increase in dietary fibre from beans was associated with reduced cardiovascular disease related death among women.41 Fermented soy products are richer in fibre and potassium as well as bioactive components than their non-fermented counterparts, including tofu. The bioactive components in fermented soy products include the fibrinolytic enzyme, nattokinase (in natto),17 and polyamine.16 The polyamine spermidine was previously found to have cardioprotective effects, with intake associated with reduced morality due to heart failure.42 Therefore, bioactive components and nutrients contained in fermented soy products might have multifaceted benefits for survival.

Conclusions

In this large prospective study conducted in a country with a high level of soy consumption, we did not observe a significant association between intake of total soy products and all cause mortality. In contrast, intake of fermented soy products, including natto and miso, were significantly associated with reduced all cause mortality. Our findings should be interpreted with caution because the significant association of fermented soy products could be attenuated by unadjusted residual confounding. Findings on the association between intake of total soy products and all cause mortality are inconsistent In this large prospective study conducted in Japan with a high rate of soy consumption, no significant association was found between intake of total soy products and all cause mortality In contrast, a higher intake of fermented soy products (natto and miso) was associated with a lower risk of mortality
Table 4

Multivariable adjusted hazard ratios (95% confidence intervals) of major causes of death and numbers of deaths according to fifths of soy product intake in Japanese men. Row numbers are deaths

Causes of death, by soy productMen (n=42 750)*Ptrend
First (lowest intake)SecondThirdFourthFifth (highest intake)
Cancer
Total soy products582616652693777
Model 210.97 (0.86 to 1.08)1.00 (0.89 to 1.12)1.01 (0.90 to 1.13)1.09 (0.96 to 1.22)0.10
Fermented soy products647593624731725
Model 210.91 (0.81 to 1.02)0.92 (0.82 to 1.03)1.04 (0.93 to 1.17)0.97 (0.85 to 1.09)0.66
Non-fermented soy616622652721709
Model 211.00 (0.90 to 1.13)1.04 (0.93 to 1.17)1.10 (0.98 to 1.23)1.06 (0.94 to 1.19)0.12
Natto601619656667777
Model 211.01 (0.90 to 1.13)0.97 (0.86 to 1.10)1.00 (0.89 to 1.13)0.98 (0.87 to 1.11)0.74
Miso601619656667777
Model 210.95 (0.85 to 1.07)0.97 (0.86 to 1.08)0.95 (0.84 to 1.06)1.02 (0.91 to 1.16)0.74
Tofu618629655680738
Model 211.01 (0.90 to 1.13)1.04 (0.93 to 1.17)1.03 (0.92 to 1.16)1.09 (0.97 to 1.22)0.13
Total cardiovascular disease
Total soy products345397398397463
Model 211.03 (0.89 to 1.20)0.97 (0.84 to 1.13)0.89 (0.77 to 1.04)0.95 (0.82 to 1.11)0.18
Fermented soy products363369424436408
Model 210.98 (0.84 to 1.14)1.04 (0.90 to 1.21)1.00 (0.85 to 1.17)0.82 (0.70 to 0.97)0.04
Non-fermented soy419348386396451
Model 210.85 (0.74 to 0.98)0.91 (0.79 to 1.04)0.87 (0.75 to 1.00)0.95 (0.82 to 1.09)0.63
Natto691306317342344
Model 210.86 (0.74 to 1.00)0.86 (0.73 to 1.00)0.85 (0.73 to 0.99)0.76 (0.65 to 0.90)0.002
Miso345365380437473
Model 210.96 (0.84 to 1.13)0.95 (0.81 to 1.10)1.04 (0.90 to 1.21)0.95 (0.82 to 1.10)0.84
Tofu425348381406440
Model 210.83 (0.72 to 0.96)0.89 (0.77 to 1.02)0.87 (0.75 to 1.00)0.90 (0.78 to 1.04)0.30
Heart disease
Total soy products189229209202239
Model 211.08 (0.88 to 1.31)0.90 (0.74 to 1.11)0.79 (0.64 to 0.98)0.82 (0.67 to 1.02)0.004
Fermented soy products201203221233210
Model 210.98 (0.81 to 1.20)0.99 (0.81 to 1.22)0.97 (0.78 to 1.19)0.77 (0.62 to 0.97)0.03
Non-fermented soy228189214202235
Model 210.83 (0.68 to 1.00)0.88 (0.72 to 1.07)0.75 (0.62 to 0.92)0.41 (0.67 to 0.99)0.03
Natto376170160194168
Model 210.90 (0.74 to 1.10)0.82 (0.66 to 1.02)0.92 (0.75 to 1.14)0.71 (0.57 to 0.88)0.01
Miso194174212247241
Model 210.84 (0.68 to 1.03)0.97 (0.79 to 1.18)1.06 (0.87 to 1.30)0.86 (0.70 to 1.06)0.74
Tofu234191204214225
Model 210.81 (0.66 to 0.98)0.82 (0.67 to 0.99)0.77 (0.63 to 0.94)0.74 (0.61 to 0.90)0.005
Cerebrovascular disease
Total soy products128144155170183
Model 211.02 (0.80 to 1.30)1.04 (0.82 to 1.33)1.06 (0.83 to 1.36)1.08 (0.85 to 1.39)0.46
Fermented soy126147169175163
Model 211.10 (0.86 to 1.40)1.16 (0.91 to 1.49)1.12 (0.87 to 1.44)0.91 (0.70 to 1.20)0.46
Non-fermented soy167131144157181
Model 210.83 (0.66 to 1.05)0.89 (0.71 to 1.12)0.94 (0.74 to 1.18)1.07 (0.86 to 1.34)0.31
Natto259117130126148
Model 210.84 (0.66 to 1.07)0.89 (0.69 to 1.13)0.78 (0.61 to 1.01)0.83 (0.65 to 1.07)0.14
Miso125160143157195
Model 211.15 (0.90 to 1.45)0.94 (0.73 to 1.20)0.99 (0.78 to 1.27)1.04 (0.82 to 1.33)0.83
Tofu165127148158182
Model 210.81 (0.64 to 1.03)0.94 (0.74 to 1.18)0.95 (0.75 to 1.19)1.08 (0.86 to 1.36)0.24
Respiratory disease
Total soy products99102110123184
Model 210.97 (0.73 to 1.28)1.01 (0.76 to 1.35)1.03 (0.78 to 1.37)1.36 (1.03 to 1.78)0.01
Fermented soy products14194102125156
Model 210.72 (0.55 to 0.95)0.79 (0.60 to 1.03)0.88 (0.67 to 1.15)0.97 (0.73 to 1.28)0.74
Non-fermented soy10696115134167
Model 210.96 (0.73 to 1.27)1.10 (0.84 to 1.44)1.17 (0.89 to 1.53)1.31 (1.00 to 1.70)0.02
Natto247797591126
Model 210.82 (0.62 to 1.07)0.82 (0.61 to 1.10)0.88 (0.66 to 1.18)0.96 (0.73 to 1.27)0.90
Miso114113109114168
Model 210.92 (0.70 to 1.19)0.88 (0.67 to 1.15)0.90 (0.68 to 1.19)1.07 (0.82 to 1.40)0.55
Tofu110105109138156
Model 211.00 (0.76 to 1.31)0.99 (0.75 to 1.30)1.13 (0.87 to 1.47)1.13 (0.87 to 1.47)0.23
Injury
Total soy products137123144131149
Model 210.82 (0.64 to 1.05)0.91 (0.71 to 1.16)0.77 (0.59 to 0.99)0.85 (0.66 to 1.10)0.22
Fermented soy products124125138149148
Model 210.91 (0.71 to 1.18)0.91 (0.70 to 1.18)0.91 (0.70 to 1.19)0.86 (0.65 to 1.13)0.36
Non-fermented soy149141134115145
Model 211.01 (0.80 to 1.28)0.97 (0.76 to 1.23)0.81 (0.63 to 1.04)1.01 (0.79 to 1.29)0.50
Natto186124136121117
Model 211.10 (0.86 to 1.41)1.17 (0.90 to 1.52)0.99 (0.75 to 1.30)0.96 (0.72 to 1.27)0.53
Miso129111128136180
Model 210.81 (0.62 to 1.04)0.82 (0.63 to 1.05)0.84 (0.65 to 1.08)1.00 (0.78 to 1.28)0.76
Tofu147145127124141
Model 211.05 (0.83 to 1.33)0.93 (0.73 to 1.19)0.89 (0.69 to 1.14)1.00 (0.78 to 1.28)0.57

Model 2 is adjusted for age, area, smoking, frequency of alcohol intake, body mass index, sports or physical exercise, history of diabetes or taking drugs for diabetes, taking antihypertensives, health check-up, total energy intake, and intake of green tea, coffee, fish, meat, fruit, and vegetables.

Except for natto intake, the first to fifth categories comprised 8550 men. The first category of natto intake included participants who did not eat natto (n=12450). The remaining participants were divided into quarters and are shown in the second to fifth categories (7575 in men).

Table 5

Multivariable adjusted hazard ratios (95% confidence intervals) of major causes of death and numbers of deaths according to fifths of soy product intake in Japanese women. Row numbers are deaths

Causes of death, by soy productWomen (n=50 165)*Ptrend
First (lowest intake)SecondThirdFourthFifth (highest intake)
Cancer
Total soy products326364366359402
Model 211.08 (0.92 to 1.25)1.05 (0.90 to 1.22)0.99 (0.85 to 1.16)1.03 (0.88 to 1.21)0.88
Fermented soy products356367343365386
Model 211.02 (0.88 to 1.18)0.93 (0.79 to 1.09)0.95 (0.80 to 1.11)0.94 (0.79 to 1.11)0.30
Non-fermented soy352357347355406
Model 211.03 (0.89 to 1.20)0.98 (0.84 to 1.13)1.00 (0.85 to 1.15)1.07 (0.91 to 1.24)0.61
Natto527290311336353
Model 210.84 (0.72 to 0.98)0.89 (0.76 to 1.05)0.90 (0.76 to 1.05)0.88 (0.75 to 1.04)0.28
Miso346336389372374
Model 210.92 (0.79 to 1.07)1.01 (0.87 to 1.17)0.95 (0.81 to 1.11)0.88 (0.75 to 1.03)0.23
Tofu357358366340396
Model 211.03 (0.88 to 1.19)1.02 (0.88 to 1.18)0.94 (0.81 to 1.10)1.03 (0.88 to 1.20)0.87
Total cardiovascular disease
Total soy products241253220288324
Model 211.04 (0.87 to 1.24)0.86 (0.71 to 1.04)1.06 (0.89 to 1.27)1.03 (0.86 to 1.23)0.64
Fermented soy products268251232273302
Model 210.95 (0.80 to 1.13)0.84 (0.70 to 1.01)0.92 (0.76 to 1.11)0.89 (0.73 to 1.07)0.25
Non-fermented soy280251204265326
Model 211.00 (0.84 to 1.19)0.77 (0.64 to 0.93)1.01 (0.85 to 1.21)1.09 (0.92 to 1.29)0.34
Natto446189224209258
Model 210.76 (0.64 to 0.92)0.87 (0.72 to 1.04)0.72 (0.60 to 0.88)0.79 (0.65 to 0.95)0.01
Miso258228242261337
Model 210.84 (0.70 to 1.01)0.80 (0.67 to 0.96)0.89 (0.74 to 1.07)0.94 (0.79 to 1.13)0.86
Tofu497058
Model 210.94 (0.80 to 1.12)0.80 (0.67 to 0.95)0.89 (0.75 to 1.06)0.98 (0.82 to 1.16)0.64
Heart disease
Total soy products12412699142172
Model 211.03 (0.80 to 1.33)0.81 (0.62 to 1.06)1.11 (0.86 to 1.43)1.13 (0.88 to 1.46)0.24
Fermented soy products146121115136145
Model 210.88 (0.69 to 1.13)0.86 (0.66 to 1.11)0.98 (0.76 to 1.27)0.94 (0.72 to 1.22)0.93
Non-fermented soy14112090143169
Model 210.97 (0.76 to 1.24)0.69 (0.53 to 0.90)1.10 (0.86 to 1.40)1.09 (0.86 to 1.39)0.27
Natto2469910791120
Model 210.84 (0.66 to 1.08)0.93 (0.72 to 1.20)0.71 (0.54 to 0.94)0.81 (0.62 to 1.06)0.07
Miso125116121137164
Model 210.89 (0.69 to 1.15)0.85 (0.66 to 1.10)1.05 (0.82 to 1.36)1.03 (0.80 to 1.32)0.46
Tofu146120104129164
Model 210.94 (0.74 to 1.20)0.77 (0.60 to 1.00)0.97 (0.75 to 1.24)1.05 (0.83 to 1.34)0.62
Cerebrovascular disease
Total soy products96108102116124
Model 211.08 (0.81 to 1.42)0.93 (0.70 to 1.24)0.98 (0.73 to 1.30)0.91 (0.68 to 1.21)0.37
Fermented soy97113100112124
Model 211.10 (0.84 to 1.46)0.86 (0.64 to 1.15)0.84 (0.62 to 1.13)0.78 (0.57 to 1.05)0.03
Non-fermented soy11510793104127
Model 211.04 (0.80 to 1.36)0.87 (0.66 to 1.15)0.99 (0.75 to 1.30)1.09 (0.83 to 1.43)0.67
Natto1647510398106
Model 210.68 (0.50 to 0.91)0.83 (0.63 to 1.11)0.69 (0.52 to 0.93)0.67 (0.50 to 0.89)0.02
Miso10788104103144
Model 210.78 (0.59 to 1.04)0.80 (0.61 to 1.05)0.77 (0.58 to 1.02)0.88 (0.67 to 1.15)0.46
Tofu12511093100118
Model 210.98 (0.76 to 1.27)0.80 (0.61 to 1.06)0.88 (0.67 to 1.15)0.93 (0.71 to 1.22)0.43
Respiratory disease
Total soy products5965554474
Model 211.11 (0.77 to 1.58)0.91 (0.62 to 1.33)0.67 (0.45 to 1.01)0.89 (0.61 to 1.29)0.13
Fermented soy products6760575360
Model 210.88 (0.62 to 1.25)0.88 (0.61 to 1.26)0.70 (0.47 to 1.04)0.77 (0.52 to 1.15)0.06
Non-fermented soy7053466365
Model 210.89 (0.62 to 1.27)0.72 (0.49 to 1.05)0.96 (0.67 to 1.37)0.78 (0.54 to 1.13)0.32
Natto12938493447
Model 210.64 (0.43 to 0.95)0.83 (0.57 to 1.22)0.50 (0.32 to 0.77)0.62 (0.41 to 0.92)0.009
Miso5460555276
Model 211.12 (0.77 to 1.63)0.89 (0.61 to 1.31)0.91 (0.61 to 1.36)0.96 (0.66 to 1.40)0.55
Tofu6951497058
Model 210.86 (0.60 to 1.25)0.79 (0.54 to 1.15)1.10 (0.78 to 1.56)0.74 (0.50 to 1.08)0.40
Injury
Total soy products5053666983
Model 211.07 (0.72 to 1.59)1.30 (0.89 to 1.90)1.30 (0.88 to 1.92)1.49 (1.01 to 2.19)0.03
Fermented soy products5446647780
Model 210.89 (0.60 to 1.33)1.16 (0.78 to 1.71)1.29 (0.87 to 1.90)1.23 (0.82 to 1.85)0.11
Non-fermented soy6951637068
Model 210.81 (0.56 to 1.18)0.99 (0.69 to 1.40)1.10 (0.79 to 1.56)1.06 (0.74 to 1.52)0.34
Natto8846476278
Model 210.67 (0.46 to 0.99)0.64 (0.43 to 0.95)0.77 (0.53 to 1.13)0.97 (0.67 to 1.41)0.68
Miso5953547580
Model 210.88 (0.61 to 1.28)0.82 (0.56 to 1.20)1.10 (0.76 to 1.58)1.02 (0.71 to 1.48)0.54
Tofu6850676967
Model 210.81 (0.56 to 1.17)1.09 (0.77 to 1.54)1.11 (0.78 to 1.58)1.06 (0.74 to 1.52)0.33

Model 2 is adjusted for age, area, smoking, frequency of alcohol intake, body mass index, sports or physical exercise, history of diabetes or taking drugs for diabetes, taking antihypertensives, health check-up, total energy intake, intake of green tea, coffee, fish, meat, fruit, and vegetables.

Except for natto intake, the first to fifth categories comprised 10 330 women. The first category of natto intake included participants who did not eat natto (n=12 227). The remaining participants were divided into quarters and are shown in the second to fifth categories (9484, 9485, 9484, and 9485, respectively).

  36 in total

1.  Diet, nutrition and the prevention of chronic diseases.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  2003

2.  Soy protein, isoflavones, and cardiovascular health: an American Heart Association Science Advisory for professionals from the Nutrition Committee.

Authors:  Frank M Sacks; Alice Lichtenstein; Linda Van Horn; William Harris; Penny Kris-Etherton; Mary Winston
Journal:  Circulation       Date:  2006-01-17       Impact factor: 29.690

3.  Soy food intake and breast cancer survival.

Authors:  Xiao Ou Shu; Ying Zheng; Hui Cai; Kai Gu; Zhi Chen; Wei Zheng; Wei Lu
Journal:  JAMA       Date:  2009-12-09       Impact factor: 56.272

4.  Soy fiber improves weight loss and lipid profile in overweight and obese adults: a randomized controlled trial.

Authors:  Xiaojie Hu; Jinlong Gao; Qianyuan Zhang; Yuanqing Fu; Kelei Li; Shankuan Zhu; Duo Li
Journal:  Mol Nutr Food Res       Date:  2013-07-23       Impact factor: 5.914

5.  Psychological factors, coffee and risk of diabetes mellitus among middle-aged Japanese: a population-based prospective study in the JPHC study cohort.

Authors:  Masayuki Kato; Mitsuhiko Noda; Manami Inoue; Takashi Kadowaki; Shoichiro Tsugane
Journal:  Endocr J       Date:  2009-03-07       Impact factor: 2.349

6.  A novel fibrinolytic enzyme (nattokinase) in the vegetable cheese Natto; a typical and popular soybean food in the Japanese diet.

Authors:  H Sumi; H Hamada; H Tsushima; H Mihara; H Muraki
Journal:  Experientia       Date:  1987-10-15

7.  Association of dietary intake of soy, beans, and isoflavones with risk of cerebral and myocardial infarctions in Japanese populations: the Japan Public Health Center-based (JPHC) study cohort I.

Authors:  Yoshihiro Kokubo; Hiroyasu Iso; Junko Ishihara; Katsutoshi Okada; Manami Inoue; Shoichiro Tsugane
Journal:  Circulation       Date:  2007-11-19       Impact factor: 29.690

Review 8.  Soy intake and cancer risk: a review of the in vitro and in vivo data.

Authors:  M J Messina; V Persky; K D Setchell; S Barnes
Journal:  Nutr Cancer       Date:  1994       Impact factor: 2.900

9.  Soy, isoflavones, and breast cancer risk in Japan.

Authors:  Seiichiro Yamamoto; Tomotaka Sobue; Minatsu Kobayashi; Satoshi Sasaki; Shoichiro Tsugane
Journal:  J Natl Cancer Inst       Date:  2003-06-18       Impact factor: 13.506

10.  Descriptive epidemiology of diabetes prevalence and HbA1c distributions based on a self-reported questionnaire and a health checkup in the JPHC diabetes study.

Authors:  Yusuke Kabeya; Masayuki Kato; Akihiro Isogawa; Yoshihiko Takahashi; Yumi Matsushita; Atsushi Goto; Hiroyasu Iso; Manami Inoue; Tetsuya Mizoue; Shoichiro Tsugane; Takashi Kadowaki; Mitsuhiko Noda
Journal:  J Epidemiol       Date:  2014-07-05       Impact factor: 3.211

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  15 in total

1.  Comparison between the impact of fermented and unfermented soy intake on the risk of liver cancer: the JPHC Study.

Authors:  Sarah Krull Abe; Norie Sawada; Junko Ishihara; Ribeka Takachi; Nagisa Mori; Taiki Yamaji; Taichi Shimazu; Atsushi Goto; Motoki Iwasaki; Manami Inoue; Shoichiro Tsugane
Journal:  Eur J Nutr       Date:  2020-07-27       Impact factor: 5.614

Review 2.  Soy intake and chronic disease risk: findings from prospective cohort studies in Japan.

Authors:  Chisato Nagata
Journal:  Eur J Clin Nutr       Date:  2020-09-11       Impact factor: 4.016

3.  Association of soy food with cardiovascular outcomes and all-cause mortality in a Chinese population: a nationwide prospective cohort study.

Authors:  Ting Xue; Junping Wen; Qin Wan; Guijun Qin; Li Yan; Guixia Wang; Yingfen Qin; Zuojie Luo; Xulei Tang; Yanan Huo; Ruying Hu; Zhen Ye; Lixin Shi; Zhengnan Gao; Qing Su; Yiming Mu; Jiajun Zhao; Lulu Chen; Tianshu Zeng; Xuefeng Yu; Qiang Li; Feixia Shen; Li Chen; Yinfei Zhang; Youmin Wang; Huacong Deng; Chao Liu; Shengli Wu; Tao Yang; Mian Li; Yu Xu; Min Xu; Tiange Wang; Zhiyun Zhao; Jieli Lu; Yufang Bi; Weiqing Wang; Gang Chen; Guang Ning
Journal:  Eur J Nutr       Date:  2022-01-10       Impact factor: 5.614

Review 4.  Japanese-Style Diet and Cardiovascular Disease Mortality: A Systematic Review and Meta-Analysis of Prospective Cohort Studies.

Authors:  Masayuki Shirota; Norikazu Watanabe; Masataka Suzuki; Masuko Kobori
Journal:  Nutrients       Date:  2022-05-10       Impact factor: 6.706

Review 5.  The Lifelong Health Support 10: a Japanese prescription for a long and healthy life.

Authors:  Ahmed Arafa; Yoshihiro Kokubo; Rena Kashima; Masayuki Teramoto; Yukie Sakai; Saya Nosaka; Youko M Nakao; Emi Watanabe
Journal:  Environ Health Prev Med       Date:  2022       Impact factor: 4.395

6.  A Non-Probiotic Fermented Soy Product Reduces Total and LDL Cholesterol: A Randomized Controlled Crossover Trial.

Authors:  Sarah M Jung; Ella H Haddad; Amandeep Kaur; Rawiwan Sirirat; Alice Y Kim; Keiji Oda; Sujatha Rajaram; Joan Sabaté
Journal:  Nutrients       Date:  2021-02-06       Impact factor: 5.717

7.  Habitual Miso (Fermented Soybean Paste) Consumption Is Associated with a Low Prevalence of Sarcopenia in Patients with Type 2 Diabetes: A Cross-Sectional Study.

Authors:  Fuyuko Takahashi; Yoshitaka Hashimoto; Ayumi Kaji; Ryosuke Sakai; Yuka Kawate; Takuro Okamura; Noriyuki Kitagawa; Hiroshi Okada; Naoko Nakanishi; Saori Majima; Takafumi Senmaru; Emi Ushigome; Masahide Hamaguchi; Mai Asano; Masahiro Yamazaki; Michiaki Fukui
Journal:  Nutrients       Date:  2020-12-28       Impact factor: 5.717

8.  Habitual Miso (Fermented Soybean Paste) Consumption Is Associated with Glycemic Variability in Patients with Type 2 Diabetes: A Cross-Sectional Study.

Authors:  Fuyuko Takahashi; Yoshitaka Hashimoto; Ayumi Kaji; Ryosuke Sakai; Akane Miki; Takuro Okamura; Noriyuki Kitagawa; Hiroshi Okada; Naoko Nakanishi; Saori Majima; Takafumi Senmaru; Emi Ushigome; Masahide Hamaguchi; Mai Asano; Masahiro Yamazaki; Michiaki Fukui
Journal:  Nutrients       Date:  2021-04-28       Impact factor: 5.717

9.  Endoplasmic Reticulum Interaction Supports Energy Production and Redox Homeostasis in Mitochondria Released from Astrocytes.

Authors:  Ji-Hyun Park; Eng H Lo; Kazuhide Hayakawa
Journal:  Transl Stroke Res       Date:  2021-01-21       Impact factor: 6.829

Review 10.  Fermented Soy Products: Beneficial Potential in Neurodegenerative Diseases.

Authors:  Chan Ho Jang; Jisun Oh; Ji Sun Lim; Hyo Jung Kim; Jong-Sang Kim
Journal:  Foods       Date:  2021-03-18
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