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Journal of Epidemiology logoLink to Journal of Epidemiology
. 2020 Jan 5;30(1):37–45. doi: 10.2188/jea.JE20180130

Association of Vegetable, Fruit, and Okinawan Vegetable Consumption With Incident Stroke and Coronary Heart Disease

Takahiro Yoshizaki 1, Junko Ishihara 2, Ayaka Kotemori 3, Junpei Yamamoto 2, Yoshihiro Kokubo 4, Isao Saito 5, Hiroshi Yatsuya 6, Kazumasa Yamagishi 7, Norie Sawada 3, Motoki Iwasaki 3, Hiroyasu Iso 8, Shoichiro Tsugane 3; the JPHC Study Group*
PMCID: PMC6908839  PMID: 30643101

Abstract

Background

Few studies have investigated the effects of Okinawan vegetable consumption on the risk of incident stroke and coronary heart disease. This study aimed to examine associations of vegetable, fruit, and Okinawan vegetable consumption with risk of incident stroke and coronary heart disease in the Japanese population of Okinawa.

Methods

The study design was a prospective cohort study. During 1995–1998, a validated food frequency questionnaire was administered in two study areas to 16,498 participants aged 45–74 years. In 217,467 person-years of follow-up until the end of 2012, a total of 839 stroke cases and 197 coronary heart disease cases were identified.

Results

No statistically significant association between total Okinawan vegetable consumption and risk of stroke and coronary heart disease was obtained: the multivariable adjusted hazard ratios for the highest versus lowest tertile of consumption were 1.09 (95% confidence interval, 0.93–1.29; P for trend = 0.289) in model 2. Total vegetable and fruit and specific Okinawan vegetable consumption were also not statistically significantly associated with risk of cardiovascular outcomes.

Conclusions

This study demonstrated that consumption of total vegetable and fruit, total Okinawan vegetables, and specific Okinawan vegetables in Japanese residents of Okinawa was not associated with risk of incident stroke and coronary heart disease.

Key words: cohort study, Okinawan vegetable, cardiovascular disease

INTRODUCTION

A third of all deaths worldwide result from cardiovascular disease (CVD).1 Large declines in mortality caused by CVD (especially heart disease) in developed countries, including Japan, have started to level off over the past 25 years.1 These declines have been linked to changes in sociodemographic factors, especially in regions with high sociodemographic status, and eating habits may be one of the factors related to such declines. A beneficial effect of fruit and vegetable consumption on the risk of coronary heart disease in Western populations and mortality from CVD in the Japanese population has been suggested2,3; however, in Japan, a recent large cohort study by Takachi et al showed no statistically significant association between vegetable consumption and risk of CVD.4

In the Okinawa Prefecture, which is located in the southwestern part of Japan and has a subtropical and oceanic climate, Okinawan vegetables, such as pak choi, leaf mustard, bitter gourd, Swiss chard, loofah, mugwort, and papaya, are commonly and traditionally eaten among Okinawans and are largely produced in Okinawa Prefecture. Okinawan vegetables contain large amounts of folate and fibre, which are inversely associated with higher homocysteine concentration, a potential risk factor for coronary heart disease and stroke.57 A higher dietary intake of folate has been associated with lower risk of incident stroke and mortality from stroke, coronary heart disease, and heart failure.811 Furthermore, Okinawan vegetables contain several functional substances that have been indicated to affect health in the molecular level. For example, bitter gourds have demonstrated antioxidant activities in both in vivo and in vitro experiments12 and can decrease low-density lipoprotein cholesterol and triglyceride levels, suppress visceral fat accumulation, and inhibit adipocyte hypertrophy in diet-induced obese rats and mice.13 Moreover, papaya extracts and papaya-associated phytochemicals possess anti-inflammatory and immunomodulatory properties.14 A trial study has reached the stage of verifying the effect of consuming typical Okinawan vegetable dishes on the number of circulating endothelial progenitor cells,15 which indicates a protective benefit in maintaining the integrity of vascular vessels. As Okinawan vegetables are rich in antioxidants and folic acid, their consumption can contribute to the prevention of CVD. However, no large prospective study has examined whether Okinawan vegetable consumption is associated with incident stroke and coronary heart disease.

Okinawans have a lower rate of age-adjusted mortality due to CVD compared with the rest of the Japanese population, although they have a higher prevalence of metabolic syndrome.16,17 The reasons are unclear, but Okinawa’s unique food, such as Okinawan vegetables, which are typically used in Okinawan dishes, may be a factor. Therefore, we aimed to elucidate associations of Okinawan vegetable consumption, in addition to total fruit and vegetable consumption, based on a validated comprehensive food frequency questionnaire (FFQ), with risk of incident stroke and coronary heart disease through a population-based prospective cohort study in Okinawa.

MATERIALS AND METHODS

Study population

The Japan Public Health Center-Based Prospective Study (JPHC Study) included two cohorts based on public health centre (PHC) areas: Cohort I (started in 1990, five PHC areas, participants aged 40–59 years) and Cohort II (started in 1993, six PHC areas, participants aged 40–69 years). The inhabitants in these 11 PHC areas were identified through population registries administered by the local municipalities. Details of the JPHC Study protocol have been shown in a previous study.18 The study protocol was approved by the institutional review board of Azabu University, Toyo University, and the National Cancer Center, Tokyo, Japan.

To identify associations between Okinawan vegetable consumption and risk of incident stroke and coronary heart disease, we limited the research area to the Okinawa Prefecture (two PHC areas: Chubu from Cohort I and Miyako from Cohort II), because the median value for Okinawan vegetable consumption was 41.7 g (5th–95th percentile, 6.8–161.1 g) in the Okinawa Prefecture, and 2.4 g (5th–95th percentile, 0.0–28.5 g) in other prefectures. Participants comprised 28,315 inhabitants (14,390 men and 13,925 women). A self-administrated questionnaire was distributed to all residents in the study areas for Cohorts I and II. The questionnaire included demographic characteristics, medical history, smoking, drinking, and a simplified version for dietary habits. Furthermore, a 5-year follow-up survey was conducted using a questionnaire in 1995 for Cohort I and in 1998 for Cohort II. This questionnaire was used as the starting point to assess dietary exposure in our study because it includes more comprehensive information on food intake frequency (ie, the FFQ) and demographic characteristics.

We excluded participants with non-Japanese nationality, incorrect or late report of migration that occurred before the starting point, incorrect birth data, or duplicate registration, and those who refused follow-up, died, moved out of the study areas, or were lost to follow-up before the starting point. Finally, 22,959 participants were eligible for our study. Among them, 18,778 participants (8,941 men and 9,837 women) responded to the 5-year follow-up questionnaire, yielding a response rate of 81.8%, and were included in our study. Among the 18,778 respondents, we excluded participants who were diagnosed with CVD from the baseline survey to the 5-year follow-up survey (n = 71) and those who had a history of cancer (eg, stomach, lung, bowel, liver, breast, or uterus), stroke, myocardial disease, and angina pectoris as identified by the questionnaire (n = 868). Furthermore, 352 participants who did not complete the diet part of the questionnaire, 506 who reported extreme total energy intake (lower and upper 1.0 percentile for men and women: 767 and 5,475 kcal/day, and 617 and 4,619 kcal/day, respectively), and 483 who did not respond to the question items on Okinawan vegetables were excluded. Therefore, 16,498 participants (7,726 men and 8,772 women) were included in our statistical analysis (Figure 1).

Figure 1. Flowchart of study participants in the Japan Public Health Center-Based Prospective Study on the association of total Okinawan vegetable consumption with incident stroke and coronary heart disease.

Figure 1.

Assessment of food consumption and nutrients

The FFQ consisted of 138 food and beverage items with standard portions/units and 9 frequency categories. The FFQ asked about daily consumption of 7 Okinawan vegetables, 15 fruits, and 24 vegetables during the previous year (eTable 1). The Okinawan vegetable items were pak choi, leaf mustard, bitter gourd, Swiss chard, loofah, mugwort, and papaya (eTable 2). Because Okinawans eat green papaya (immature papaya) as a salad or stir-fried dish, we included papaya as an Okinawan vegetable item. The fruit items included 3 citrus fruits (mandarin orange, other oranges, and 100% orange juice) and 12 other fruits (apple, persimmon, strawberry, grapes, melon, watermelon, peach, pear, kiwi fruit, pineapple, banana, and 100% apple juice). The vegetable items comprised six pickled vegetables (Chinese radish, green leafy vegetables, plum, Chinese cabbage, cucumber, and eggplant), five cruciferous vegetables (cabbage, Chinese radish, komatsuna, broccoli, and Chinese cabbage), four green leafy vegetables (spinach, Chinese chives, garland chrysanthemum, and green pepper), four yellow vegetables (carrot, tomato, pumpkin, and tomato juice), and five other vegetables (onion, cucumber, bean sprouts, snap beans, and lettuce).

The 5-year follow-up questionnaire was based on nine frequency categories (‘almost never’ to ‘7 or more times per day’) for vegetables, fruits, and Okinawan vegetables, and nine frequency choices (‘almost never’ to ‘10 or more glasses per day’) for juices. Standard portion sizes were fixed for each food item as follows: small (50% smaller), medium (same as the standard), and large (50% larger). The amounts (g/day) of vegetables, fruits, and Okinawan vegetables consumed were calculated from the data obtained.

The FFQ for assessing vegetable and fruit consumption has been already validated in previous studies19,20: the deattenuated correlation coefficient between energy-adjusted consumption based on the FFQ and that based on 28-day (or 14-day for the Chubu PHC area) dietary records among subsamples of men and women in Okinawa Prefecture were 0.56 for fruits, 0.43 for vegetables, and 0.52 for total vegetable and fruit. The correlation coefficients for the reproducibility of the FFQ administered 1 year apart for men and women were 0.42 for fruits, 0.49 for vegetables, and 0.40 for total vegetable and fruit consumption. Meanwhile, the validity of the FFQ for assessment of total Okinawan vegetable consumption and specific Okinawan vegetable consumption was as follows: the deattenuated correlation coefficients for men and women were 0.14 for total Okinawan vegetable, 0.30 for pak choi, 0.025 for leaf mustard, 0.16 for bitter gourd, 0.47 for Swiss chard, 0.37 for loofah, 0.38 for mugwort, and 0.37 for papaya. Moreover, the correlation coefficients for the reproducibility of the FFQ for men and women were 0.47 for total Okinawan vegetable, 0.45 for pak choi, 0.67 for leaf mustard, 0.41 for bitter gourd, 0.45 for Swiss chard, 0.50 for loofah, 0.47 for mugwort, and 0.42 for papaya.

Follow-up survey

Participants in the Chubu PHC area (Cohort I) and Miyako PHC area (Cohort II) were followed from 1995 and 1998 until December 31 of 2009 and 2012, respectively. Information about changes in residence status was obtained annually from data on moving out, which are identified by residency registration inside and outside the study areas. All mortality data for participants in the residential registry are forwarded to the Ministry of Health, Labour and Welfare and are coded for inclusion in the National Vital Statistics. As residency and death registrations are required by the Basic Resident Registration Law and Family Registration Law, respectively, data from each registration are thought to be complete. Based on both data, we confirmed that 3,494 subjects (18.6%) died, 676 (3.6%) moved out of the study area, and 5 (0.03%) were lost to follow-up during the follow-up period in our study.

Ascertainment of stroke and coronary heart disease incidence

A total of 35 hospitals formed the register of events within the Chubu and Miyako PHC areas. All were major hospitals with the capability of treating patients with acute coronary heart disease, stroke, or cancer events. The medical records were reviewed by hospital or PHC physicians in each registered major local hospital in each PHC area.21,22 Diagnoses of stroke using computer tomography scan and/or magnetic resonance imaging according to the criteria of the National Survey of Stroke23 and diagnoses of myocardial infarction according to the criteria of the MONICA project24 were confirmed, for all cases, and these medical data were extracted onto cohort-specific registration forms. Stroke cases were classified according to subtype (ie, intraparenchymal haemorrhage, subarachnoid haemorrhage, or ischaemic stroke). CVD cases with a death certificate or self-report only, without confirmation via medical records, were excluded from outcome events. CVD was defined as myocardial infarction or stroke, whichever occurred first. We confirmed 839 stroke cases and 197 myocardial infarction cases among the 16,498 subjects by December 31 of 2009 and 2012. The rate of implementation for computed tomography scans, magnetic resonance imaging, and/or autopsy findings in Okinawa Prefecture (99.3% in the Chubu area and 98.7% in the Miyako area) did not differ from that in other PHC areas (98.4%) of the JPHC Study.

For analysis, only first-ever CVD events during the follow-up were included; recurrent events were excluded. Person-years of follow-up were calculated for each participant from baseline to the date of death, diagnosis (earlier event for coronary heart disease and stroke), emigration from the study area, or end of the follow-up period (December 31 of 2009 and 2012), whichever occurred first. Participants lost to follow-up were censored at the last confirmed date of their presence in the study area. A total of 217,467 person-years for the CVD analysis was accrued.

Statistical analysis

Participants in each group were separated into tertiles (T1–T3) according to consumption, with the lowest consumption category as the reference. Hazard ratios and 95% confidence intervals were calculated for categories of energy-adjusted consumption of vegetables, fruits, total Okinawan vegetables, and specific Okinawan vegetables, using Cox proportional hazards models according to the SAS PHREG Procedure (SAS Institute, Inc., Cary, NC, USA). Multivariate Cox regression models with a covariate adjustment approach for total vegetable and fruit, total vegetable, total fruit, total Okinawan vegetable, and specific Okinawan vegetable consumption were used: model l included age at baseline, study area, and sex; model 2 included model 1 plus covariates, including alcohol intake (0, 1–150, 151–300, 301–450, and ≥451 g/week, or missing), cigarette smoking status (current [<20 or ≥20 cigarettes/day], never, former, or missing), type of job (blue-collar, white-collar, other, or missing), self-reported perceived mental stress (low, medium, high, or missing), quartiles of body mass index (BMI), metabolic equivalent task-hours per day (METs), and dietary-related factors (ie, quartiles of energy intake and energy-adjusted dietary consumption of fish, meat, and sodium); model 3 included model 2 plus mediator variables, including past history of diabetes (yes, no, or missing), treatment of hypertension (yes, no, missing), and treatment of hypercholesterolaemia (yes, no, missing) based on either self-reported past history of diabetes or hypoglycaemic agent use, antihypertensive agent use, and hypercholesterolaemia agent use, respectively. Quartiles of energy-adjusted dietary consumption of total fruits were added to model 2 in the multivariate analysis for total vegetables; quartiles of total vegetable consumption were added for total fruits; and quartiles of vegetable (except for Okinawan vegetables) and fruit (except for papaya) consumption were added for total Okinawan vegetables and specific Okinawan vegetables. The missing data of covariates was adjusted using a dummy variable. Each food group consumption was adjusted by total energy intake using the residual method.25 Two-tailed P values of <0.05 were considered statistically significant.

RESULTS

Consumption of total vegetables, fruits, and Okinawan vegetables ranged from a median of 187.3 to 544.4 g/day (lowest to highest tertile). Total Okinawan vegetable consumption by the participants ranged from a median of 17.9 to 94.3 g/day (lowest to highest tertile). Associations between total Okinawan vegetable consumption and demographic characteristics of participants according to tertiles are shown in Table 1. In men and women, higher Okinawan vegetable consumption was significantly associated with higher age, METs, and intakes of energy, fish, meat, fibre, sodium, calcium, total vegetables and fruits, total vegetables, and total fruits (P < 0.05). Total Okinawan vegetable consumption was significantly associated with sex, study area, smoking habit, treatment of hypertension, treatment of hypercholesterolemia, past history of diabetes, drinking habit, type of work, and self-reported perceived mental stress (P < 0.05; Table 1). Individuals with higher Okinawan vegetable consumption were less likely to be male, ever-smokers, or heavy drinkers, and they were more likely to be receiving treatment for hypertension or hypercholesterolemia, or have a past history of diabetes and blue-collar job. Meanwhile, BMI, employment status, and sleep duration were not significantly associated with total Okinawan vegetable consumption.

Table 1. Baseline characteristics of the study participants.

  Tertile of total Okinawan vegetable consumption P valuesa

Number Lowest (T1) Number Middle (T2) Number Highest (T3)
Age years 5,499 56 (8) 5,500 57 (8) 5,499 58 (8) <0.001
Body mass index kg/m2 5,401 24.4 (3.3) 5,401 24.4 (3.2) 5,409 24.5 (3.3) 0.086
Sex                
 Women     2,608 (47.4)   3,005 (54.6)   3,159 (57.4) <0.001
 Men     2,891 (52.6)   2,495 (45.4)   2,340 (42.6)
Study area                
 Chubu area     3,289 (59.8)   3,044 (55.3)   2,809 (51.1) <0.001
 Miyako area     2,210 (40.2)   2,456 (44.7)   2,690 (48.9)
Smoking habit                
 Never     3,652 (70.3)   3,896 (74.4)   4,103 (78.1) <0.001
 Former     396 (7.6)   387 (7.4)   365 (6.9)
 1–20 cigarettes     306 (5.9)   305 (5.8)   266 (5.1)
 >20 cigarettes     839 (16.2)   647 (12.4)   521 (9.9)
Drinking habit                
 Never     3,063 (55.7)   3,382 (61.5)   3,705 (67.4) <0.001
 1–150 mL     190 (3.5)   205 (3.7)   215 (3.9)
 150–300 mL     172 (3.1)   194 (3.5)   198 (3.6)
 300–450 mL     104 (1.9)   108 (2.0)   103 (1.9)
 >450 mL     1,970 (35.8)   1,611 (29.3)   1,278 (23.2)
Treatment of hypertension                
 No     4,358 (80.3)   4,343 (79.9)   4,253 (78.3) 0.023
 Yes     1,066 (19.7)   1,093 (20.1)   1,177 (21.7)  
Treatment of hypercholesterolaemia                
 No     5,276 (97.6)   5,262 (97.1)   5,239 (96.7) 0.027
 Yes     132 (2.4)   158 (2.9)   179 (3.3)
Past history of diabetes                
 No     5,249 (95.5)   5,220 (94.9)   5,190 (94.4) 0.038
 Yes     250 (4.5)   280 (5.1)   309 (5.6)
Type of work                
 Blue-collar     949 (17.9)   958 (18.1)   1,074 (20.2) <0.001
 White-collar     3,899 (73.5)   3,900 (73.5)   3,767 (70.8)
 Other     456 (8.6)   445 (8.4)   480 (9.0)
Employment                
 Employed     4,911 (92.6)   4,937 (93.1)   4,930 (92.7) 0.544
 Non-employed     393 (7.4)   366 (6.9)   391 (7.3)
Self-reported perceived mental stress                
 Low     1,228 (22.8)   1,244 (22.9)   1,362 (25.2) <0.001
 Middle     3,353 (62.1)   3,461 (63.7)   3,241 (60.0)
 High     816 (15.1)   727 (13.4)   797 (14.8)
Sleep duration                
 <6 hours     362 (7.2)   338 (6.6)   339 (6.7) 0.513
 ≥6 hours     5,042 (93.3)   5,099 (93.8)   5,092 (93.8)
METs/week   4,567 33.0 (6.1) 4,647 33.5 (6.1) 4,623 33.8 (6.2) <0.001

Energy intake kcal/day 5,499 1913 (734) 5,500 1933 (695) 5,499 1872 (660) 0.002
Dietary intakesb   5,499   5,500   5,499    
 Fish g/day   55.5 (41.7)   64.7 (42.1)   67.6 (43.3) <0.001
 Meat g/day   81.8 (50.9)   81.1 (46.9)   71.3 (45.1) <0.001
 Fibre g/day   8.6 (3.4)   10.9 (3.4)   14.5 (4.7) <0.001
 Sodium mg/day   3973 (1359)   4482 (6664)   5133 (7783) <0.001
 Calcium mg/day   428 (238)   464 (213)   530 (208) <0.001
 Total vegetables and fruits g/day   254 (153)   351 (159)   508 (206) <0.001
  Vegetables g/day   144.2 (92.1)   211.0 (97.9)   334.9 (154.0) <0.001
  Fruits g/day   110.4 (106.9)   140.5 (111.2)   173.6 (123.6) <0.001
  Total Okinawan vegetables g/day   17.3 (7.7)   45.0 (9.5)   114.9 (69.5) <0.001
   Pak choi g/day   1.8 (2.7)   4.8 (5.8)   11.9 (16.1) <0.001
   Leaf mustard g/day   1.7 (2.4)   4.5 (5.2)   11.8 (16.1) <0.001
   Bitter gourd g/day   6.9 (5.3)   18.3 (10.5)   43.8 (36.3) <0.001
   Swiss chard g/day   0.9 (1.9)   2.5 (4.6)   8.9 (19.2) <0.001
   Loofah g/day   3.1 (3.1)   8.7 (7.2)   24.9 (26.5) <0.001
   Mugwort g/day   0.2 (0.4)   0.3 (0.5)   0.5 (1.0) <0.001
   Papaya g/day   2.6 (2.9)   5.5 (6.3)   11.4 (19.0) <0.001

MET, metabolic equivalent task-hours per day.

Values are expressed as mean (standard deviation) or number (%).

aDetermined using the one-way analysis of variance with polynomial contrasts or the chi-square test.

bDietary intakes were energy-adjusted using the nutrient residual method.

The results of age-, sex-, and study area-adjusted (model 1) and multivariate-adjusted (model 2 and model 3) hazard ratios of CVD outcomes according to consumption of total vegetables and fruits, total vegetables, and total fruits are shown in Table 2. Significant inverse associations were found between total fruit consumption and risk of total CVD, total stroke, and ischaemic stroke in model 1. However, when we added other confounding variables in model 2, these significant results disappeared. Consumption of total vegetables and fruits was not significantly associated with risk of CVD outcomes in any model, while higher consumption of total vegetable was statistically significantly associated with the increased risk of total CVD, total stroke, and intraparenchymal haemorrhage in model 2. When we added mediator variables in model 3, the statistically significant associations between the consumption of total vegetable and the risks of total CVD and total stroke disappeared. Table 3 shows the associations between total and specific Okinawan vegetable consumption and CVD outcomes. As a result, any total and specific Okinawan vegetable consumption was not significantly associated with risk of CVD outcomes in model 2. In addition, these results of an association of total vegetable and fruit, total vegetable, total fruit, total Okinawan vegetable, and specific Okinawan vegetable consumption with risk of CVD outcomes were also confirmed when the data was divided by sex-specific tertiles (eTable 3 and eTable 4); the null association did not change.

Table 2. Age-, sex-, and study area-adjusted and multivariate-adjusted hazard ratios and 95% confidence intervals of incident cardiovascular outcomes according to tertiles of consumption of total vegetables and fruits, total vegetables, and total fruits.

  Lowest (T1) Middle (T2) Highest (T3) P for trend



Ref. HR (95% CI) HR (95% CI)
Total vegetable and fruit consumptione              
 Number of participants   5,499 5,500 5,499
 Median intake, g/day   187.3 337.0 544.4
 Person-years   71,813 73,062 72,592
  Cardiovascular disease, total Number of cases 373 314 349  
Model 1a 1.0 0.83 (0.71–0.96) 0.92 (0.79–1.07) 0.264
Model 2b 1.0 0.90 (0.77–1.05) 1.06 (0.90–1.25) 0.518
Model 3c 1.0 0.90 (0.77–1.06) 1.05 (0.89–1.24) 0.584
   Stroke, total Number of cases 300 255 284  
Model 1a 1.0 0.83 (0.70–0.98) 0.91 (0.77–1.07) 0.254
Model 2b 1.0 0.91 (0.76–1.08) 1.07 (0.89–1.28) 0.508
Model 3c 1.0 0.91 (0.77–1.09) 1.06 (0.88–1.27) 0.571
    Intraparenchymal haemorrhage Number of cases 100 87 104  
Model 1a 1.0 0.85 (0.64–1.14) 1.01 (0.76–1.33) 0.950
Model 2b 1.0 0.99 (0.73–1.34) 1.31 (0.96–1.79) 0.091
Model 3c 1.0 0.99 (0.73–1.34) 1.30 (0.95–1.78) 0.097
    Ischaemic stroke Number of cases 178 154 154  
Model 1a 1.0 0.84 (0.68–1.05) 0.84 (0.67–1.04) 0.110
Model 2b 1.0 0.89 (0.71–1.11) 0.91 (0.71–1.16) 0.432
Model 3c 1.0 0.90 (0.72–1.12) 0.90 (0.71–1.15) 0.388
   Coronary heart disease (myocardial
infarction or sudden cardiac death)
Number of cases 73 59 65  
Model 1a 1.0 0.83 (0.59–1.17) 0.97 (0.69–1.36) 0.830
Model 2b 1.0 0.87 (0.61–1.24) 1.05 (0.72–1.52) 0.836
Model 3c 1.0 0.86 (0.60–1.23) 1.04 (0.71–1.51) 0.875

Total vegetable consumptione              
 Number of participants   5,499 5,500 5,499
 Median intake, g/day   109.9 203.1 337.9
 Person-years   72,053 72,831 72,583
  Cardiovascular disease, total Number of cases 353 310 373  
Model 1a 1.0 0.88 (0.75–1.02) 1.00 (0.86–1.16) 0.972
Model 2b,d 1.0 0.98 (0.83–1.15) 1.19 (1.00–1.41) 0.047
Model 3c 1.0 0.97 (0.82–1.14) 1.15 (0.97–1.37) 0.097
   Stroke, total Number of cases 289 242 308  
Model 1a 1.0 0.83 (0.70–0.99) 0.99 (0.85–1.17) 0.978
Model 2b,d 1.0 0.94 (0.79–1.13) 1.22 (1.01–1.48) 0.037
Model 3c 1.0 0.93 (0.78–1.12) 1.18 (0.98–1.43) 0.080
    Intraparenchymal haemorrhage Number of cases 94 86 111  
Model 1a 1.0 0.91 (0.68–1.23) 1.12 (0.85–1.48) 0.402
Model 2b,d 1.0 1.12 (0.82–1.52) 1.56 (1.13–2.16) 0.007
Model 3c 1.0 1.11 (0.82–1.51) 1.54 (1.12–2.13) 0.009
    Ischaemic stroke Number of cases 175 137 174  
Model 1a 1.0 0.78 (0.62–0.97) 0.93 (0.75–1.14) 0.483
Model 2b,d 1.0 0.85 (0.67–1.08) 1.06 (0.83–1.35) 0.645
Model 3c 1.0 0.84 (0.66–1.06) 1.01 (0.79–1.30) 0.907
   Coronary heart disease (myocardial infarction or sudden cardiac death) Number of cases 64 68 65  
Model 1a 1.0 1.08 (0.77–1.52) 1.02 (0.72–1.45) 0.894
Model 2b,d 1.0 1.12 (0.78–1.60) 1.07 (0.72–1.59) 0.746
Model 3c 1.0 1.12 (0.78–1.60) 1.07 (0.72–1.60) 0.739

Total fruit consumptione              
 Number of participants   5,499 5,500 5,499
 Median intake, g/day   39.3 116.9 229.9
 Person-years   71,710 72,906 72,851
  Cardiovascular disease, total Number of cases 387 332 317  
Model 1a 1.0 0.88 (0.76–1.02) 0.86 (0.74–1.00) 0.049
Model 2b,d 1.0 0.92 (0.79–1.08) 0.91 (0.77–1.06) 0.227
Model 3c 1.0 0.94 (0.81–1.10) 0.93 (0.79–1.09) 0.377
   Stroke, total Number of cases 317 273 249  
Model 1a 1.0 0.87 (0.74–1.02) 0.81 (0.69–0.96) 0.012
Model 2b,d 1.0 0.92 (0.78–1.09) 0.86 (0.72–1.03) 0.103
Model 3c 1.0 0.95 (0.80–1.12) 0.89 (0.74–1.06) 0.191
    Intraparenchymal haemorrhage Number of cases 114 90 87  
Model 1a 1.0 0.79 (0.60–1.05) 0.78 (0.59–1.03) 0.074
Model 2b,d 1.0 0.81 (0.61–1.08) 0.82 (0.61–1.11) 0.182
Model 3c 1.0 0.82 (0.61–1.09) 0.83 (0.61–1.12) 0.205
    Ischaemic stroke Number of cases 185 165 136  
Model 1a 1.0 0.91 (0.74–1.13) 0.77 (0.62–0.97) 0.025
Model 2b,d 1.0 0.98 (0.79–1.22) 0.82 (0.64–1.03) 0.096
Model 3c 1.0 1.01 (0.82–1.26) 0.85 (0.67–1.07) 0.184
   Coronary heart disease (myocardial infarction or sudden cardiac death) Number of cases 70 59 68  
Model 1a 1.0 0.91 (0.64–1.28) 1.12 (0.80–1.57) 0.520
Model 2b,d 1.0 0.93 (0.65–1.32) 1.14 (0.80–1.63) 0.464
Model 3c 1.0 0.93 (0.65–1.33) 1.15 (0.80–1.63) 0.462

CI, confidence interval; HR, hazard ratio.

aModel 1 was adjusted by age, sex, and study area.

bModel 2 was adjusted by variables in model 1 plus alcohol intake (0, 1–150, 151–300, 301–450, and ≥451 g/week, or missing), cigarette smoking status (current [<20 or ≥20 cigarettes/day], never, former, or missing), type of work (blue-collar, white-collar, other, or missing), self-reported perceived mental stress (low, medium, high, or missing), quartiles of body mass index, metabolic equivalent task-hours per day, quartiles of energy intake, and energy-adjusted dietary consumption of fish, meat, and sodium.

cModel 3 was adjusted by variables in model 2 plus past history of diabetes (yes, no, or missing), treatment of hypertension (yes, no, or missing), and treatment of hypercholesterolaemia (yes, no, or missing).

dQuartiles of energy-adjusted dietary consumption of total fruits were added to model 2 in the multivariate analysis for total vegetables, and quartiles of total vegetable consumption were added for total fruits.

eVegetable and fruit consumption was energy-adjusted by the nutrient residual method.

Table 3. Age-, sex-, and study area-adjusted and multivariate-adjusted hazard ratios and 95% confidence intervals of incident cardiovascular outcomes according to tertiles of total and specific Okinawan vegetable consumption.

  Lowest (T1) Middle (T2) Highest (T3) P for trend



Ref. HR (95% CI) HR (95% CI)
Total Okinawan vegetable consumptiond              
  Number of participants   5,499 5,500 5,499
  Median intake, g/day   17.9 44.2 94.3
  Person-years   72,034 72,708 72,725
  Cardiovascular disease, total Number of cases 352 322 362  
  Model 1a 1.0 0.91 (0.78–1.06) 0.99 (0.86–1.15) 0.927
  Model 2b 1.0 0.97 (0.83–1.14) 1.09 (0.93–1.29) 0.289
  Model 3c 1.0 0.96 (0.82–1.13) 1.07 (0.91–1.27) 0.403
   Stroke, total Number of cases 283 260 296  
  Model 1a 1.0 0.92 (0.77–1.08) 1.01 (0.86–1.19) 0.876
  Model 2b 1.0 1.00 (0.84–1.19) 1.16 (0.96–1.39) 0.131
  Model 3c 1.0 0.99 (0.83–1.18) 1.13 (0.94–1.36) 0.203
    Intraparenchymal haemorrhage Number of cases 101 86 104  
  Model 1a 1.0 0.86 (0.64–1.14) 1.02 (0.77–1.34) 0.898
  Model 2b 1.0 0.93 (0.69–1.25) 1.15 (0.84–1.57) 0.401
  Model 3c 1.0 0.93 (0.69–1.26) 1.14 (0.83–1.57) 0.411
    Ischaemic stroke Number of cases 163 154 169  
  Model 1a 1.0 0.94 (0.76–1.17) 1.00 (0.80–1.24) 0.981
  Model 2b 1.0 1.02 (0.81–1.29) 1.14 (0.89–1.46) 0.296
  Model 3c 1.0 1.01 (0.80–1.27) 1.11 (0.86–1.41) 0.426
   Coronary heart disease
(myocardial infarction or sudden cardiac death)
Number of cases 69 62 66  
  Model 1a 1.0 0.89 (0.63–1.26) 0.91 (0.65–1.28) 0.591
  Model 2b 1.0 0.88 (0.61–1.25) 0.89 (0.61–1.30) 0.549
  Model 3c 1.0 0.88 (0.62–1.26) 0.90 (0.62–1.31) 0.570

Specific Okinawan vegetable consumptiond              
 Pak choi Median intake, g/day   0.0 2.6 11.4
Cardiovascular disease, total Model 3c 1.0 1.15 (0.99–1.33) 1.02 (0.87–1.20) 0.738
 Leaf mustard Median intake, g/day   0.0 2.6 10.6
Cardiovascular disease, total Model 3c 1.0 1.15 (0.99–1.34) 1.05 (0.89–1.24) 0.526
 Bitter gourd Median intake, g/day   4.4 15.6 39.2
Cardiovascular disease, total Model 3c 1.0 0.88 (0.75–1.03) 0.97 (0.83–1.14) 0.724
 Swiss chard Median intake, g/day   0.0 1.8 5.1
Cardiovascular disease, total Model 3c 1.0 1.06 (0.83–1.36) 1.06 (0.93–1.22) 0.374
 Loofah Median intake, g/day   1.7 5.6 22.1
Cardiovascular disease, total Model 3c 1.0 1.01 (0.87–1.18) 1.12 (0.95–1.31) 0.174
 Mugwort Median intake, g/day   0.0 0.2 0.5
Cardiovascular disease, total Model 3c 1.0 1.02 (0.87–1.19) 1.04 (0.89–1.22) 0.589
 Papaya Median intake, g/day   0.0 3.3 10.7
Cardiovascular disease, total Model 3c 1.0 0.94 (0.81–1.10) 1.07 (0.91–1.24) 0.420

CI, confidence interval; HR, hazard ratio.

aModel 1 was adjusted by age, sex, and study area.

bModel 2 was adjusted by variables in model 1 plus alcohol intake (0, 1–150, 151–300, 301–450, and ≥451 g/week, or missing), cigarette smoking status (current [<20 or ≥20 cigarettes/day], never, former, or missing), type of work (blue-collar, white-collar, other, or missing), self-reported perceived mental stress (low, medium, high, or missing), quartiles of body mass index, metabolic equivalent task-hours per day, quartiles of energy intake, and energy-adjusted dietary consumption of fish, meat, vegetable (except for Okinawan vegetables), fruit (except for papaya), and sodium.

cModel 3 was adjusted by variables in model 2 plus past history of diabetes (yes, no, or missing), treatment of hypertension (yes, no, or missing), and treatment of hypercholestaerolemia (yes, no, or missing).

dTotal and specific Okinawan vegetable consumption was energy-adjusted using the nutrient residual method.

Stratified analyses according to age (<65 or ≥65 years), BMI (<18.5, 18.5–24.9, or ≥25 kg/m2), cigarette smoking status (smoker or non-smoker), alcohol intake (<150 or ≥150 g ethanol/week), meat consumption (<median or ≥median), and processed meat consumption (<median or ≥median), such as ham, Vienna sausage, bacon, and luncheon meat, showed that statistically significant associations between higher consumption of total vegetable and fruit, total vegetable, and total Okinawan vegetable and increased risk of CVD outcomes were more remarkable among those aged ≥65 years old, those with normal BMI (18.5–24.9 kg/m2), smokers, those with a higher consumption of meat, and those with a higher consumption of processed meat (data not shown).

DISCUSSION

Our study aimed to elucidate associations between the consumption of total vegetables and fruits, total vegetables, total fruits, and total Okinawan vegetables, based on a validated comprehensive FFQ, with risk of CVD outcomes in a prospective cohort design. Multivariate Cox regression revealed that consumption of total vegetables and fruits, total vegetables, total Okinawan vegetables, and specific Okinawan vegetables was not significantly associated with risk of total CVD (P for trend > 0.05). Thus, total and specific Okinawan vegetable consumption and total vegetable and fruit consumption were not associated with risk of CVD outcomes, such as total stroke and coronary heart disease, in the population of Okinawa Prefecture.

Okinawan vegetables contain a large amount of folate. In our study, about half of the distribution of total folate intake could be explained by the distribution of total Okinawan vegetable consumption (data not shown). Folate decreases homocysteine level,6 which may explain why the plasma homocysteine levels of Okinawans are among the lowest in the world.26 Since higher blood homocysteine concentrations may be a potential risk factor for coronary heart disease and stroke,6 there is a high probability that Okinawan vegetable consumption can prevent CVD outcomes. In a prospective cohort study, Cui et al have also shown that high dietary intake of folate was associated with reduced risk of mortality from stroke, coronary heart disease, and heart failure among the Japanese people.9 However, no human study has been conducted on the direct association between Okinawan vegetable consumption and risk of CVD outcomes in a population-based cohort. Therefore, to the best of our knowledge, this is the first study to examine associations between Okinawan vegetable consumption and risk of CVD outcomes and to indicate that a significant inverse association could not be obtained—results that were contrary to our hypothesis. The reason why we found no association between the consumption of Okinawan vegetables and risk of CVD is unknown. However, it may be possible that the narrow range of Okinawan vegetables is a potential cause. In previous JPHC study, we found that folate and CVD were not statistically significantly associated because the range of dietary intake among the cohort population was narrow with a higher range (290 and 436 microgram/day for quintile 1 and 5, respectively) compared to that of the Western population.27 Likewise, it is plausible that even the reference group consumed a sufficient amount of folate from Okinawan vegetables to prevent CVD in this population, which resulted in a null association. In addition, it should be noted that both the sample size and number of cases were small.

Our definition of Okinawan vegetables needs careful consideration when interpreting the results, because there are other kinds of foods that are eaten as Okinawan vegetables in the Okinawa Prefecture (eg, Chinese preserving melon and Okinawan shallot) and we could not cover all of them in the FFQ. In addition, low validity of the FFQ for estimation of Okinawan vegetables, especially for leaf mustard, may have caused attenuation for the association between Okinawan vegetable consumption and risk of CVD. Therefore, although the seven Okinawan vegetable items may not be sufficient to classify total Okinawan vegetable consumption, not all specific Okinawan vegetables had low validity.

Our finding that there was no association between vegetable and fruit consumption and risk of CVD is not consistent with previous observations of cohort studies in European and Japanese populations.24 The follow-up period of our research (13.2 years) was relatively long; however, due to the fact that the research population was limited to Okinawa Prefecture, the number of CVD cases was lower than that in other studies. Therefore, although it may have been the optimal population to clarify the association between Okinawan vegetables and the risk of CVD at this time, care should be taken when interpreting the result that there was no association between vegetable and fruit consumption and the risk of CVD in our study. A statistically significant association between total vegetable consumption and intraparenchymal haemorrhage was found probably due to unmeasured confounders or by chance, though we do not have a good explanation.

We regarded past history of diabetes, treatment of hypertension, and treatment of hypercholesterolemia as mediators, but we further confirmed the adjusted results because these variables may be confounders as well as mediators on the causal pathway. However, the null associations of the consumption of total Okinawan vegetables and specific Okinawan vegetables with risks of CVD outcomes did not change.

This study has several limitations. First, the use of an FFQ, even if it was partially validated by 28-day dietary records, can inevitably lead to misclassification of Okinawan vegetable consumption. In addition, it is uncertain whether misclassification resulted in biased associations toward or away from the null. Finally, although we measured and adjusted for possible confounding variables as much as possible, there could still be potential residual confounding by unmeasured variables.

In conclusion, this prospective cohort study revealed that total Okinawan vegetable consumption and specific Okinawan vegetable consumption were not statistically significantly associated with risk of incident stroke and coronary heart disease in the Japanese population of Okinawa Prefecture.

ACKNOWLEDGEMENTS

Funding: This study was supported by a grant from the National Cancer Center Research and Development Fund (since 2011; the principal investigator is ST), a Grant-in-Aid for Cancer Research from the Ministry of Health, Labour and Welfare of Japan (1989–2010; the principal investigator from 1997 to 2010 was ST), and a Grant-in-Aid from the Ministry of Agriculture, Forestry and Fisheries (MAFF-CPS-2016-1-1).

Conflicts of interest: None declared.

APPENDIX A. SUPPLEMENTARY DATA

The following is the supplementary data related to this article:

eTable 1. Names of 7 Okinawan vegetables, 15 fruits, and 24 vegetables assessed using a validated comprehensive food frequency questionnaire

eTable 2. Dietary information of Okinawan vegetables in the Standard Tables of Food Composition in Japan - 2015 (Seventh Revised Version)

eTable 3. Age- and study area-adjusted and multivariate-adjusted hazard ratios and 95% confidence intervals of incident cardiovascular outcomes according to tertiles of consumption of total vegetables and fruits, total vegetables, and total fruits in men and women

eTable 4. Age- and study area-adjusted and multivariate-adjusted hazard ratios and 95% confidence intervals of incident cardiovascular outcomes according to tertiles of total and specific Okinawan vegetable consumption in men and women

je-30-037-s001.pdf (436.3KB, pdf)

REFERENCES

  • 1.Roth GA, Johnson C, Abajobir A, et al. . Global, regional, and national burden of cardiovascular diseases for 10 causes, 1990 to 2015. J Am Coll Cardiol. 2017;70:1–25. 10.1016/j.jacc.2017.04.052 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Gan Y, Tong X, Li L, et al. . Consumption of fruit and vegetable and risk of coronary heart disease: a meta-analysis of prospective cohort studies. Int J Cardiol. 2015;183:129–137. 10.1016/j.ijcard.2015.01.077 [DOI] [PubMed] [Google Scholar]
  • 3.Okuda N, Miura K, Okayama A, et al. ; NIPPON DATA80 Research Group . Fruit and vegetable intake and mortality from cardiovascular disease in Japan: a 24-year follow-up of the NIPPON DATA80 Study. Eur J Clin Nutr. 2015;69:482–488. 10.1038/ejcn.2014.276 [DOI] [PubMed] [Google Scholar]
  • 4.Takachi R, Inoue M, Ishihara J, et al. ; JPHC Study Group . Fruit and vegetable intake and risk of total cancer and cardiovascular disease: Japan Public Health Center-Based Prospective Study. Am J Epidemiol. 2008;167:59–70. 10.1093/aje/kwm263 [DOI] [PubMed] [Google Scholar]
  • 5.Lairon D, Arnault N, Bertrais S, et al. . Dietary fiber intake and risk factors for cardiovascular disease in French adults. Am J Clin Nutr. 2005;82:1185–1194. 10.1093/ajcn/82.6.1185 [DOI] [PubMed] [Google Scholar]
  • 6.Homocysteine Studies Collaboration Homocysteine and risk of ischemic heart disease and stroke: a meta-analysis. JAMA. 2002;288:2015–2022. 10.1001/jama.288.16.2015 [DOI] [PubMed] [Google Scholar]
  • 7.Clarke R. Lowering blood homocysteine with folic acid-based supplements: meta-analysis of randomised trials. Indian Heart J. 2000;52(7)(Suppl):S59–S64. [PubMed] [Google Scholar]
  • 8.Iso H, Moriyama Y, Sato S, et al. . Serum total homocysteine concentrations and risk of stroke and its subtypes in Japanese. Circulation. 2004;109:2766–2772. 10.1161/01.CIR.0000131942.77635.2D [DOI] [PubMed] [Google Scholar]
  • 9.Cui R, Iso H, Date C, Kikuchi S, Tamakoshi A; Japan Collaborative Cohort Study Group . Dietary folate and vitamin B6 and B12 intake in relation to mortality from cardiovascular diseases; Japan Collaborative Cohort Study. Stroke. 2010;41:1285–1289. 10.1161/STROKEAHA.110.578906 [DOI] [PubMed] [Google Scholar]
  • 10.Rimm EB, Willett WC, Hu FB, et al. . Folate and vitamin B6 from diet and supplements in relation to risk of coronary heart disease among women. JAMA. 1998;279:359–364. 10.1001/jama.279.5.359 [DOI] [PubMed] [Google Scholar]
  • 11.Voutilainen S, Rissanen TH, Virtanen J, Lakka TA, Salonen JT; Kuopio Ischemic Heart Disease Risk Factor Study . Low dietary folate intake is associated with an excess incidence of acute coronary events: the Kuopio Ischemic Heart Disease Risk Factor Study. Circulation. 2001;103:2674–2680. 10.1161/01.CIR.103.22.2674 [DOI] [PubMed] [Google Scholar]
  • 12.Alam MA, Uddin R, Subhan N, et al. . Beneficial role of bitter melon supplementation in obesity and related complications in metabolic syndrome. J Lipids. 2015;2015:496169. 10.1155/2015/496169 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Huang HL, Hong YW, Wong YH, et al. . Bitter melon (Momordica charantia L.) inhibits adipocyte hypertrophy and down regulates lipogenic gene expression in adipose tissue of diet-induced obese rats. Br J Nutr. 2008;99:230–239. 10.1017/S0007114507793947 [DOI] [PubMed] [Google Scholar]
  • 14.Pandey S, Cabot PJ, Shaw PN, Hewavitharana AK. Anti-inflammatory and immunomodulatory properties of Carica papaya. J Immunotoxicol. 2016;13:590–602. 10.3109/1547691X.2016.1149528 [DOI] [PubMed] [Google Scholar]
  • 15.Mano R, Ishida A, Ohya Y, Todoriki H, Takishita S. Dietary intervention with Okinawan vegetables increased circulating endothelial progenitor cells in healthy young women. Atherosclerosis. 2009;204:544–548. 10.1016/j.atherosclerosis.2008.09.035 [DOI] [PubMed] [Google Scholar]
  • 16.Ministry of Health, Labour and Welfare. Vital Statistics. http://www.mhlw.go.jp/toukei/saikin/hw/jinkou/other/15sibou/index.html; 2016. Accessed 18.05.26.
  • 17.Ministry of Health, Labour and Welfare. Data about Specific Health Checkups and Specific Health Guidance. http://www.mhlw.go.jp/bunya/shakaihosho/iryouseido01/info02a-2.html; 2015. Accessed 18.05.26.
  • 18.Tsugane S, Sawada N. The JPHC study: design and some findings on the typical Japanese diet. Jpn J Clin Oncol. 2014;44:777–782. 10.1093/jjco/hyu096 [DOI] [PubMed] [Google Scholar]
  • 19.Sasaki S, Kobayashi M, Tsugane S; JPHC . Validity of a self-administered food frequency questionnaire used in the 5-year follow-up survey of the JPHC Study Cohort I: comparison with dietary records for food groups. J Epidemiol. 2003;13(1)(Suppl):S57–S63. 10.2188/jea.13.1sup_57 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Ishihara J, Sobue T, Yamamoto S, et al. ; JPHC . Validity and reproducibility of a self-administered food frequency questionnaire in the JPHC Study Cohort II: study design, participant profile and results in comparison with Cohort I. J Epidemiol. 2003;13(1)(Suppl):S134–S147. 10.2188/jea.13.1sup_134 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Iso H, Baba S, Mannami T, et al. ; JPHC Study Group . Alcohol consumption and risk of stroke among middle-aged men: the JPHC Study Cohort I. Stroke. 2004;35:1124–1129. 10.1161/01.STR.0000124459.33597.00 [DOI] [PubMed] [Google Scholar]
  • 22.Iso H, Kobayashi M, Ishihara J, et al. ; JPHC Study Group . Intake of fish and n3 fatty acids and risk of coronary heart disease among Japanese: the Japan Public Health Center-Based (JPHC). Study Cohort I. Circulation. 2006;113:195–202. 10.1161/CIRCULATIONAHA.105.581355 [DOI] [PubMed] [Google Scholar]
  • 23.Walker AE, Robins M, Weinfeld FD. The National Survey of Stroke. Clinical findings. Stroke. 1981;12(2 Pt 2)(Suppl 1):I13–I44. [PubMed] [Google Scholar]
  • 24.Tunstall-Pedoe H, Kuulasmaa K, Amouyel P, et al. . Myocardial infarction and coronary deaths in the World Health Organization MONICA Project. Registration procedures, event rates, and case-fatality rates in 38 populations from 21 countries in four continents. Circulation. 1994;90:583–612. 10.1161/01.CIR.90.1.583 [DOI] [PubMed] [Google Scholar]
  • 25.Willett WC. Nutritional Epidemiology. 2nd ed. New York, NY: Oxford University Press; 1998. [Google Scholar]
  • 26.Alfthan G, Aro A, Gey KF. Plasma homocysteine and cardiovascular disease mortality. Lancet. 1997;349:397. 10.1016/S0140-6736(97)80014-1 [DOI] [PubMed] [Google Scholar]
  • 27.Ishihara J, Iso H, Inoue M, et al. ; JPHC Study Group . Intake of folate, vitamin B6 and vitamin B12 and the risk of CHD: the Japan Public Health Center-Based Prospective Study Cohort I. J Am Coll Nutr. 2008;27:127–136. 10.1080/07315724.2008.10719684 [DOI] [PubMed] [Google Scholar]

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