| Literature DB >> 35631146 |
Masayuki Shirota1, Norikazu Watanabe2, Masataka Suzuki2, Masuko Kobori1.
Abstract
This systematic review and meta-analysis elucidate the effects of the Japanese-style diet and characteristic Japanese foods on the mortality risk of cardiovascular disease (CVD), cerebrovascular disease (stroke), and heart disease (HD). This review article followed the PRISMA guidelines. A systematic search in PubMed, The Cochrane Library, JDreamIII, and ICHUSHI Web identified prospective cohort studies on Japanese people published till July 2020. The meta-analysis used a random-effects model, and heterogeneity and publication bias were evaluated with I2 statistic and Egger's test, respectively. Based on inclusion criteria, we extracted 58 articles, including 9 on the Japanese-style diet (n = 469,190) and 49 (n = 2,668,238) on characteristic Japanese foods. With higher adherence to the Japanese-style diet, the pooled risk ratios (RRs) for CVD, stroke, heart disease/ischemic heart disease combined (HD/IHD) mortality were 0.83 (95% CI, 0.77-0.89, I2 = 58%, Egger's test: p = 0.625, n = 9 studies), 0.80 (95% CI, 0.69-0.93, I2 = 66%, Egger's test: p = 0.602, n = 6 studies), and 0.81 (95% CI, 0.75-0.88, I2 = 0%, Egger's test: p = 0.544, n = 6 studies), respectively. Increased consumption of vegetables, fruits, fish, green tea, and milk and dairy products decreased the RR for CVD, stroke, or HD mortality. Increased salt consumption elevated the RR for CVD and stroke mortality. Increased consumption of dietary fiber and plant-derived protein decreased the RR for CVD, stroke, and HD/IHD mortality. The Japanese-style diet and characteristic Japanese foods may reduce CVD mortality. Most studies conducted diet surveys between 1980 and the 1990s. This meta-analysis used articles that evaluated the same cohort study by a different method. A new large-scale cohort study matching the current Japanese dietary habits is needed to confirm these findings.Entities:
Keywords: Japanese diet; Japanese dietary pattern; cardiovascular disease; meta-analysis; mortality; systematic review
Mesh:
Year: 2022 PMID: 35631146 PMCID: PMC9147868 DOI: 10.3390/nu14102008
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 6.706
Figure 1Flowchart of article search and study selection: PubMed (https://pubmed.ncbi.nlm.nih.gov/ (accessed on 27 July 2020)), The Cochrane Library (https://www.cochranelibrary.com/ (accessed on 27 July 2020)), JDreamIII (https://jdream3.com/ (accessed on 27 July 2020)) and ICHUSHI Web (https://search.jamas.or.jp/ (accessed on 27 July 2020)).
Prospective cohort studies on Japanese-style dietary pattern and the CVD mortality risk (Hazard ratios, risk ratios, and 95% confidence intervals).
| First Author, | Population | Sample Size | Age Range | Follow-Up | Diet Assessment Method | Dietary Pattern Assessment Method | Intervention: Control | Outcome | Hazard Ratio/Risk Ratio (95%CI) | Factors Adjusted for in Analyses |
|---|---|---|---|---|---|---|---|---|---|---|
| Shimazu, 2007 [ | Ohsaki Cohort 1994 Study | 40,547 (both) | 40–79 | 7 | FFQ | Factor analysis | Higest:Lowest scores quartile | CVD (I00–99) | 0.74 (0.59–0.91) | Age, sex, smoking status, walking duration, education, total energy intake, body mass index, history of hypertension |
| Maruyama, 2013 [ | JACC | 26,598 (men) | 40–79 | Median: 12.6 | FFQ | Factor analysis | Higest:Lowest scores quintile | CVD (I01–99) | Men | Age, BMI, smoking category, walking time, hours of sports, education, perceived mental stress, sleep duration, total energy intake and history of hypertension and diabetes |
| Nanri, 2017 [ | JPHC | 81,720 | 45–74 | Mean: 14.8 | FFQ | Factor analysis | Higest:Lowest scores quartile | CVD (I00–99) | 0.72 (0.64–0.79) | Age, sex, study area, body mass index, smoking status, total physical activity, history of diabetes mellitus, history of hypertension, and total energy intake |
| Nakamura, 2009 [ | NIPPON DATA80 | 9086 (both) | 30 years or older | 19 | FFQ | Index score | Higest:Lowest scores tertile | CVD (I00–99) | 0.80 (0.66–0.96) | Age, sex, BMI, smoking, hypertension, diabetes |
| Oba, 2009 [ | Takayama Study | 13,355 (men) | 35 years or older | 7.3 | FFQ | Index score (JFGS) | Higest:Lowest scores quartile | CVD (I00–99) | Men | Age, body mass index, smoking status, physical activity, education, history of hypertension and diabetes, women’s menopausal status |
| Kurotani, 2016 [ | JPHC | 79,594 | 45–75 | Mean: 14.9 | FFQ | Index score (JFGS) | Higest:Lowest scores quartile | CVD (I00–99) | 0.84 (0.73–0.96) | Age, sex, and public health centre area, BMI, smoking status, total physical activity, history of hypertension, history of diabetes, history of dyslipidaemia, coffee consumption, green tea consumption, occupation |
| Okada, 2018 [ | JACC | 23,162 (men) | 40–79 | Median: | FFQ | Index score (JFS) | Higest:Lowest scores quintile | CVD (I05–99) | Men | Age, geographical region, BMI, education duration, smoking status, alcohol drinking status, sports habits, sleeping duration, history of hypertension and diabetes, total energy intake |
| Abe, 2020 [ | Ohsaki Cohort 1994 Study | 14,764 | 40–79 | 20 | FFQ | Index score (JDI) | Higest:Lowest scores quartile | CVD (I00–99) | 0.96 (0.82–1.13) | Sex, education level, smoking, alcohol drinking, time spent walking, history of disease, energy intake, BMI |
| Matsuyama, 2021 [ | JPHC | 92,969 | 45–74 | Median: 18.9 | FFQ | Index score (JDI-8) | Higest:Lowest score quartile | CVD (I00–99) | 0.89 (0.80–0.99) | Age, sex, study area, BMI, smoking status, alcohol drinking, total physical activity, medication, occupation, total energy intake |
CVD; cardiovascular disease, HD; heart disease, IHD; ischemic heart disease, AMI; acute myocardial infarction.
List of meta-analysis results on CVD, stroke, and HD/IHD mortality risk.
| Evaluation Item | Outcome | No. of Studies | No. of Participants | Pooled RR (95%CI) | I2 (%) | Egger’s Test | Strength of Evidence * | |
|---|---|---|---|---|---|---|---|---|
| Japanese-style | CVD | 9 | 468,740 | 0.83 (0.77–0.89) | 58 | Moderate ⊕⊕⊕⊖ | ||
| Stroke | 6 | 367,953 | 0.80 (0.69–0.93) | 66 | Moderate ⊕⊕⊕⊖ | |||
| HD/IHD | 6 | 367,953 | 0.81 (0.75–0.88) | 0 | Low ⊕⊕⊖⊖ | |||
| Vegetable | CVD | 4 | 47,306 | 0.85(0.76–0.96) | 21 | Low ⊕⊕⊖⊖ | ||
| Stroke | 5 | 418,428 | 0.89(0.80–1.001) | 52 | Low ⊕⊕⊖⊖ | |||
| HD/IHD | 3 | 156,821 | 0.79 (0.69–0.90) | 0 | Low ⊕⊕⊖⊖ | |||
| Fruit | CVD | 5 | 149,801 | 0.85 (0.79–0.91) | 19 | Low ⊕⊕⊖⊖ | ||
| Stroke | 3 | 107,034 | 0.70 (0.63–0.77) | 0 | Moderate ⊕⊕⊕⊖ | |||
| Fish | CVD | 3 | 110,097 | 0.86 (0.78–0.94) | 28 | Very low ⊕⊖⊖⊖ | ||
| Stroke | 4 | 327,151 | 0.87 (0.81–0.93) | 0 | Very low ⊕⊖⊖⊖ | |||
| IHD | 3 | 108,429 | 0.88 (0.66–1.19) | 0 | Low ⊕⊕⊖⊖ | |||
| Soy Pruducts | CVD | 4 | 192,545 | 0.94 (0.87–1.02) | 0 | Low ⊕⊕⊖⊖ | ||
| Green tea | CVD | 3 | 135,436 | 0.59 (0.38–0.92) | 83 | Very low ⊕⊖⊖⊖ | ||
| Stroke | 3 | 214,099 | 0.76 (0.63–0.92) | 28 | Low ⊕⊕⊖⊖ | |||
| HD/IHD | 3 | 214,099 | 0.75 (0.65–0.88) | 1 | Low ⊕⊕⊖⊖ | |||
| Milk and dairy products | CVD | 3 | 147,233 | 0.93 (0.87–0.998) | 37 | Low ⊕⊕⊖⊖ | ||
| Stroke | 3 | 306,673 | 0.81 (0.75–0.88) | 17 | Very low ⊕⊖⊖⊖ | |||
| Rice | Stroke | 3 | 202,837 | 1.02 (0.89–1.17) | 0 | Low ⊕⊕⊖⊖ | ||
| Meat | CVD | 3 | 311,983 | 0.91 (0.76–1.09) | 63 | Very low ⊕⊖⊖⊖ | ||
| Salt | CVD | 4 | 161,337 | 1.18 (1.03–1.34) | 63 | Low ⊕⊕⊖⊖ | ||
| Stroke | 3 | 152,222 | 1.30 (1.16–1.46) | 0 | Very low ⊕⊖⊖⊖ | |||
| IHD | 3 | 152,222 | 0.99 (0.76–1.29) | 59 | Very low ⊕⊖⊖⊖ | |||
| Plant-derived protein | CVD | 3 | 107,519 | 0.81(0.71–0.92) | 0 | Low ⊕⊕⊖⊖ | ||
| Stroke | 4 | 136,598 | 0.75 (0.64–0.89) | 0 | Low ⊕⊕⊖⊖ | |||
| HD/IHD | 3 | 107,519 | 0.75 (0.59–0.95) | 0 | Moderate ⊕⊕⊕⊖ | |||
| Dietary fiber | CVD | 3 | 160,579 | 0.77 (0.71–0.84) | 0 | Moderate ⊕⊕⊕⊖ | ||
| Stroke | 3 | 160,579 | 0.84 (0.73–0.98) | 19 | Low ⊕⊕⊖⊖ | |||
| IHD | 3 | 160,579 | 0.76 (0.69–0.85) | 0 | Moderate ⊕⊕⊕⊖ | |||
| Saturated fatty acid | Stroke | 3 | 145,481 | 0.95 (0.84–1.07) | 34 | Low ⊕⊕⊖⊖ |
CVD; cardiovascular disease, HD; heart disease, IHD; ischemic heart disease, HD/IHD; HD and IHD combined associated with reduced RR for CVD mortality. * Strength of evidence was rated as four levels, viz., high ⊕⊕⊕⊕; moderate ⊕⊕⊕⊖; low ⊕⊕⊖⊖; and very low ⊕⊖⊖⊖.
Figure 2Meta-analysis of the Japanese-style dietary pattern and mortality risk. (A–C) show the association between the Japanese-style dietary pattern and CVD, stroke, and HD/IHD mortality risk, respectively. The area of each square is proportional to the study weight. Horizontal lines represent 95% confidence intervals. Diamonds represent pooled estimates from inverse-variance-weighted random-effects model. The number given in the study name indicates that of the cited reference [29,30,31,32,34,37]. CVD; cardiovascular disease, HD/IHD; heart disease/ischemic heart disease.
Figure 3Meta-analysis of vegetable consumption and mortality risk. (A–C) show the association between vegetable consumption and CVD, stroke, and HD/IHD mortality risk, respectively. The area of each square is proportional to the study weight. Horizontal lines represent 95% confidence intervals. Diamonds represent pooled estimates from inverse-variance-weighted random-effects model. The number given in the study name indicates that of the cited reference [38,39,40,41,42,43,44]. CVD; cardiovascular disease, HD; heart disease, IHD; ischemic heart disease.
Figure 4Meta-analysis of fruit consumption and mortality risk. (A,B) show the association between fruit consumption and CVD and stroke mortality risk, respectively. The area of each square is proportional to the study weight. Horizontal lines represent 95% confidence intervals. Diamonds represent pooled estimates from inverse-variance-weighted random-effects model. The number given in the study name indicates that of the cited reference [38,39,40,41,43,45]. CVD; cardiovascular disease.
Figure 5Meta-analysis of fish consumption and mortality risk. (A–C) show the association between fish consumption and CVD, stroke, and IHD mortality risk, respectively. The area of each square is proportional to the study weight. Horizontal lines represent 95% confidence intervals. Diamonds represent pooled estimates from inverse-variance-weighted random-effects model. The number given in the study name indicates that of the cited reference [41,42,45,46,47,48,49]. CVD; cardiovascular disease, IHD; ischemic heart disease.
Figure 6Meta-analysis of green tea consumption and mortality risk. (A–C) show the association between green tea consumption and CVD, stroke, and HD/IHD mortality risk, respectively. The area of each square is proportional to the study weight. Horizontal lines represent 95% confidence intervals. Diamonds represent pooled estimates from inverse-variance-weighted random-effects model. The number given in the study name indicates that of the cited reference [58,59,60,61]. CVD; cardiovascular disease, HD; heart disease, IHD; ischemic heart disease.
Figure 7Meta-analysis of salt consumption and mortality risk. (A–C) show the association between salt consumption and CVD, stroke, and IHD mortality risk, respectively. The area of each square is proportional to the study weight. Horizontal lines represent 95% confidence intervals. Diamonds represent pooled estimates from inverse-variance-weighted random-effects model. The number given in the study name indicates that of the cited reference [41,72,73,74]. CVD; cardiovascular disease, IHD; ischemic heart disease.
Figure 8Meta-analysis of plant-derived protein consumption and mortality risk. (A–C) show the association between plant-derived protein consumption and CVD, stroke, and HD/IHD mortality risk, respectively. The area of each square is proportional to the study weight. Horizontal lines represent 95% confidence intervals. Diamonds represent pooled estimates from inverse-variance-weighted random-effects model. The number given in the study name indicates that of the cited reference [55,75,76,77]. CVD; cardiovascular disease, HD; heart disease, IHD; ischemic heart disease.
Figure 9Meta-analysis of dietary fiber consumption and mortality risk. (A–C) show the association between dietary fiber consumption and CVD, stroke, and HD/IHD mortality risk, respectively. The area of each square is proportional to the study weight. Horizontal lines represent 95% confidence intervals. Diamonds represent pooled estimates from inverse-variance-weighted random-effects model. The number given in the study name indicates that of the cited reference [81,82,83]. CVD; cardiovascular disease, HD; heart disease, IHD; ischemic heart disease.