Literature DB >> 32368073

Metabolic Syndrome for Cardiovascular Disease Morbidity and Mortality Among General Japanese People: A Mini Review.

Jun Watanabe1, Kazuhiko Kotani1.   

Abstract

BACKGROUND: The importance of management of metabolic syndrome (MetS) for risk reduction of cardiovascular disease (CVD) has been recognized worldwide. Because of the comparatively unique characteristics of bodily figure/obesity and incident CVD in Japan, the relevance of MetS on CVD can be still discussed among Japanese people. The present study aimed to review briefly the relationship of MetS with CVD morbidity/mortality among general Japanese people.
METHODS: Population-based prospective cohort studies evaluating the predictive value of MetS on CVD morbidity/mortality via a PubMed search up to 2019 were summarized.
RESULTS: We identified two studies on morbidity that reported MetS to predict CVD morbidity. We identified three studies on mortality, and these studies showed an increased direction of hazard ratio (HR) of CVD mortality, while one study reported an insignificant prediction of MetS for CVD mortality. In the meta-analysis method, MetS significantly predicted CVD morbidity (HR=1.71 [95% confidence interval=1.34-2.18] in men and HR=1.89 [95% confidence interval=1.45-2.46] in women) as well as CVD mortality (HR=1.68 [95% confidence interval=1.37-2.06] in men and HR=1.73 [95% confidence interval=1.39-2.15] in women).
CONCLUSION: Among general Japanese people, MetS can be a positive predictor of CVD morbidity/mortality. Since the studies are limited, more research is needed to establish the findings.
© 2020 Watanabe and Kotani.

Entities:  

Keywords:  cardiometabolic health; disease morbidity; disease mortality; obesity

Mesh:

Year:  2020        PMID: 32368073      PMCID: PMC7182458          DOI: 10.2147/VHRM.S245829

Source DB:  PubMed          Journal:  Vasc Health Risk Manag        ISSN: 1176-6344


Introduction

Metabolic syndrome (MetS) is marked by an accumulation of atherosclerotic risk factors, such as obesity, diabetes mellitus, hypertension and dyslipidemia.1 The biological mechanism underlying the relationship between MetS and cardiovascular disease (CVD) is often explained by obesity-related pathophysiology including insulin resistance and unhealthy lifestyle as a common basis.1–3 The harmful influence of MetS on CVD has been demonstrated in international studies.4–6 Thus, the risk management of MetS for cardiovascular health has been importantly recognized.1–3 Obesity plays a central role in MetS.2,3 Approximately 30% of men and 20% of women are currently classified as obese (body mass index [BMI] ≥25 kg/m2) in Japan.7 Of interest, the proportion of BMI ≥30 kg/m2 in Japan is one tenth that in the United States, while the proportion of pre-obesity (25.0 to 29.9 kg/m2) is similar between the two countries.8,9 While CVD is a leading cause of death in developed countries, Japanese people are characterized by a lower mortality due to coronary heart disease than Western populations.10 The healthcare system of Japan (i.e., a free-access system to any medical institutions providing intensive therapy and close follow-up for CVD patients) may be a reason for such a low CVD mortality.11–13 The characteristics of obesity and CVD in Japan are different from those in Western countries; thus, the relevance of MetS on CVD can be still discussed among Japanese people.7–10,14 The summary of data specific to Japanese people can give an insight into the understanding of MetS on risk management of CVD. Although prior international review papers included the Japanese studies,4–6 all studies of general Japanese people were not always included. Therefore, the current study reviewed briefly, based on available cohort studies, the relationship between MetS and CVD morbidity/mortality in general Japanese people.

Materials and Methods

Candidate articles were searched using a PubMed search engine. The articles were searched for mentions of either morbidity or mortality. In the search of morbidity, the keywords were “metabolic syndrome”, “cardiovascular disease”, “cohort study”, “Japan”, and “morbidity”. In the search of mortality, the keywords were “metabolic syndrome”, “cardiovascular disease”, “cohort study”, “Japan”, and “mortality”. The term CVD basically included coronary heart disease (myocardial infarction, angina pectoris, ischemic heart failure) and stroke (cerebral infarction, cerebral hemorrhage). The search was performed for articles published between January 1966 and December 2019. The exclusion criteria for the selection of articles were as follows: not a human study, not an adult population, and not written in English. First, the title and the abstract were investigated by two researchers independently. Non-cohort studies and original articles that did not focus on MetS-CVD morbidity/mortality relationship were excluded. When these researcher’s opinions matched, the articles were deemed appropriate for advancing to the next step. If their opinions did not match, they discussed whether or not the articles were appropriate. Second, the full text was evaluated, and articles that met all of the following inclusion criteria were selected: (1) number of participants ≥1000; (2) ≥10 years of follow-up; (3) MetS defined; (4) CVD morbidity or mortality described; and (5) hazard ratio (HR) and 95% confidence interval (CI) described. When multi-variate estimates were reported, the most fully adjusted estimate was used. Third, the two researchers reviewed and confirmed, with each other, the content of the articles. The summary tables of the respective articles were then created. Furthermore, based on the articles, a (mini)meta-analysis of MetS for CVD morbidity/mortality was conducted using the generic inverse variance method with Review Manager (RevMan; computer program) 5.3.15 The results were expressed as HR (95% CI).

Results

Figure 1 shows the flow for selecting articles that examined the relationship between MetS and CVD morbidity. Of the initial articles identified, 19 were excluded based on the exclusion criteria mentioned above. Of the remaining articles, 146 were further excluded for not being performed in a prospective cohort study design and not focusing on the relationship between MetS and CVD morbidity. Ultimately, two articles that met the criteria were selected.16,17
Figure 1

Flow chart of article selection: Metabolic syndrome and cardiovascular disease morbidity.

Flow chart of article selection: Metabolic syndrome and cardiovascular disease morbidity. Similar to the selection for CVD morbidity, Figure 2 shows the process used to select articles that examined the relationship between MetS and CVD mortality. Of the initial articles identified, 12 were excluded based on the exclusion criteria mentioned above. Of the remaining articles, 36 were further excluded for not being performed in a prospective cohort study design and not focusing on the relationship between MetS and CVD mortality. Ultimately, three articles that met the criteria were selected.18–20
Figure 2

Flow chart of article selection: Metabolic syndrome and cardiovascular disease mortality.

Flow chart of article selection: Metabolic syndrome and cardiovascular disease mortality.

MetS and CVD Morbidity

Two cohort studies that examined the predictive value of MetS on CVD morbidity for general Japanese people were summarized (Table 1). In the Suita study,16 the total number of study participants were 5332 (2492 men and 2840 women), and the observation period was 12.5 years. In the Hisayama study,17 the total number of study participants were 2452 (1050 men and 1402 women), and the observation period was 14 years. Both studies reported MetS to predict CVD morbidity.16,17 In both studies, the predictive value of MetS on CVD morbidity might be high especially in women.16,17 Predicting the morbidity of coronary heart disease tended to be similar to that of stroke.16,17 The prediction of morbidity also appeared to be similar regardless of the definition of MetS, even though there were some differences in the definition between the two studies.16,17 Furthermore, MetS significantly predicted CVD morbidity in the meta-analysis (by National Cholesterol Education Program - the third revision of Adult Treatment Panel [NCEP-ATPIII]-based definition) as follows: HR=1.71 (95% CI=1.34–2.18) in men and HR=1.89 (95% CI=1.45–2.46) in women.
Table 1

Summary of the Predictive Value of MetS on CVD Morbidity

StudyParticipants (n)Age (Years)Follow-Up (Years)Definition of MetS (Abdominal Obesity)CVD IncidenceCoronary Heart DiseaseStroke
nHR (95% CI)nHR (95% CI)nHR (95% CI)
Suita Studya [Kokubo Y, et al]16M: 249230–7912.5JapaneseM: 481.34 (0.96–1.87)M: 221.51 (0.91–2.48)M: 261.27 (0.81–1.97)
W: 2840(Waist circumference)W: 192.20 (1.31–3.68)W: 72.70 (1.15–6.35)W: 122.05 (1.07–3.92)
NCEP-ATPIII (Asian)M: 551.75 (1.27–2.41)M: 262.12 (1.31–3.43)M: 291.58 (1.02–2.43)
(Waist circumference)W: 561.90 (1.31–2.77)W: 212.77 (1.44–5.32)W: 351.62 (1.02–2.58)
Hisayama Studyb [Doi Y, et al]17M: 1050≥4014JapaneseM: 341.28 (0.86–1.91)
W: 1402(Waist circumference)W: 191.89 (1.15–3.10)
Modified JapaneseM: 242.49 (1.57–3.94)
(Waist circumference)W: 472.27 (1.55–3.32)
Modified NCEP-ATPIIIM: 401.66 (1.14–2.43)
(Waist circumference)W: 621.88 (1.30–2.74)

Notes: aAdjusted Confounders: age, smoking, drinking. bAdjusted Confounders: age, proteinuria, cholesterol, electrocardiogram abnormalities, alcohol, exercise, smoking. The bold text shows a HR (95% CI) level with a significance of P<0.05.

Abbreviations: MetS, metabolic syndrome; CVD, cardiovascular disease; n, number; M, men; W, women; HR, hazard ratio; CI, confidence interval, NCEP-ATPIII, National Cholesterol Education Program - the third revision of Adult Treatment Panel.

Summary of the Predictive Value of MetS on CVD Morbidity Notes: aAdjusted Confounders: age, smoking, drinking. bAdjusted Confounders: age, proteinuria, cholesterol, electrocardiogram abnormalities, alcohol, exercise, smoking. The bold text shows a HR (95% CI) level with a significance of P<0.05. Abbreviations: MetS, metabolic syndrome; CVD, cardiovascular disease; n, number; M, men; W, women; HR, hazard ratio; CI, confidence interval, NCEP-ATPIII, National Cholesterol Education Program - the third revision of Adult Treatment Panel.

MetS and CVD Mortality

Three cohort studies that examined the predictive value of MetS on CVD mortality for general Japanese people were summarized (Table 2). In the Jichi Medical School Study,18 the total number of study participants were 2176 (914 men and 1262 women), and the observation period was 12.5 years. In the JPHC study,19 the total number of study participants were 34,051 (12,412 men and 21,639 women), and the observation period was 12.3 years. In the Ibaraki Prefectural Health Study,20 the total number of study participants were 91,157 (30,774 men and 60,383 women), and the observation period was 12 years. In the Jichi Medical School Study,18 MetS did not significantly predict CVD mortality, although a trend for its prediction of CVD mortality was observed. In the JPHC study19 and Ibaraki Prefectural Health Study,20 MetS significantly predicted CVD mortality. The predictive values of morbidity for coronary heart disease seemed to be high in comparison to those for stroke.18–20 The prediction of morbidity was not largely influenced by the definition of MetS.18–20 Furthermore, MetS significantly predicted CVD mortality in the meta-analysis (by the Japanese definition for the Jichi Medical School Study18 and NCEP-ATPIII-based definition for the JPHC study19 and the Ibaraki Prefectural Health Study20) as follows: HR=1.68 (95% CI=1.37–2.06) in men and HR=1.73 (95% CI=1.39–2.15) in women.
Table 2

Summary of the Predictive Value of MetS on CVD Mortality

StudyParticipants (n)Age (Years)Follow-Up (Years)Definition of MetS (Abdominal Obesity)CVD MortalityCoronary Heart DiseaseStroke
n (rate)HR (95% CI)nHR (95% CI)nHR (95% CI)
Jichi Medical School Studya [Niwa Y, et al]18M: 91440–6912.5JapaneseM: 5 (5.0d)1.84 (0.68–4.96)----
W: 1262(Waist circumference)W: 1 (3.6d)1.31 (0.17–9.96)----
JPHC Studyb [Saito I, et al]19M: 12,41240–6912.3JapaneseM: 1771.54 (1.02–2.31)M: 711.91 (1.05–3.48)M: 1061.31 (0.75–2.29)
W: 21,639(BMI)W: 1271.31 (0.79–2.18)W: 382.56 (1.19–5.48)W: 890.88 (0.44–1.77)
NCEP-ATPIIIM: 1771.41 (0.99–2.02)M: 711.76 (1.03–3.01)M: 1061.20 (0.74–1.94)
(BMI)W: 1271.44 (0.98–2.11)W: 381.90 (0.97–3.74)W: 891.26 (0.79–2.03)
Ibaraki Prefectural Health Studyc [Irie F, et al]20M: 30,77440–7912NCEP-ATPIIIM: 2261.83 (1.41–2.38)M: 852.54 (1.55–4.15)M: 511.38 (0.84–2.27)
W: 60,383(BMI)W: 3221.90 (1.45–2.49)W: 792.20 (1.24–3.89)W: 792.37 (1.26–4.46)

Notes: aAdjusted Confounders: age, smoking, alcohol. bAdjusted Confounders: age, dietary, smoking, alcohol, exercise. cAdjusted Confounders: age, smoking, alcohol, dietary, cholesterol. dRates of mortality: adjusted for per 1000 person-years. The bold text shows a HR (95% CI) level with a significance of P<0.05.

Abbreviations: MetS, metabolic syndrome; CVD, cardiovascular disease; n, number; HR, hazard ratio; CI, confidence interval; M, men; W, women; BMI, body mass index; NCEP-ATPIII, National Cholesterol Education Program - the third revision of Adult Treatment Panel.

Summary of the Predictive Value of MetS on CVD Mortality Notes: aAdjusted Confounders: age, smoking, alcohol. bAdjusted Confounders: age, dietary, smoking, alcohol, exercise. cAdjusted Confounders: age, smoking, alcohol, dietary, cholesterol. dRates of mortality: adjusted for per 1000 person-years. The bold text shows a HR (95% CI) level with a significance of P<0.05. Abbreviations: MetS, metabolic syndrome; CVD, cardiovascular disease; n, number; HR, hazard ratio; CI, confidence interval; M, men; W, women; BMI, body mass index; NCEP-ATPIII, National Cholesterol Education Program - the third revision of Adult Treatment Panel.

Discussion

The current review summarized the relationship between MetS and CVD among general Japanese people using population-based prospective cohort studies. Although we must acknowledge the limited numbers of such reliable studies, summarizing the current position will help promote further advances in this research field due to the unique characteristics of obesity and CVD in Japan (i.e., the prevalence of severe obesity and incident CVD has not been historically very high compared to that in Western countries).7–10 In the current review, MetS was found to be a possibly positive predictor of CVD morbidity/mortality. The results in the current review are mostly in accordance with those of prior international studies.2–4 In spite of the unique characteristics of obesity and CVD in Japan,7–10 the similar finding of the relationship between MetS and CVD morbidity/mortality across any country is of interest in the understanding of the pathophysiology of MetS and its involvement in CVD. In terms of the MetS-CVD relationship, the relevance of the component of MetS on CVD morbidity/mortality is a concern. In the current review, not a specific component factor but the accumulated component number of MetS was suggested to increase the risk of CVD.16,17 On the other hand, high blood pressure is a major component of MetS21 and there has been a study showing hypertension as one of the strongest risk components of MetS for CVD.22 Such a detailed concern of the MetS-CVD relationship remains to be studied. While there were only a few studies16,19,20 regarding stroke in the current study, we noted that stroke mortality could tend to reduce compared to stroke morbidity. In general, people with the development of stroke are not fatal on the instant and receive long-term careful care.23 It can partly explain the weak relevance of MetS on stroke mortality. In the current review, the predictive value of CVD mortality/morbidity might have been slightly high in women relative to men. The phenomenon has been observed in prior international studies.2–4 Researchers have suggested gender differences in the definition of MetS as a reason for this, although the overall results of the current review for CVD morbidity/mortality did not necessarily depend on the definition of MetS. Only the Japanese definition of MetS originally sets a higher cut-off level of waist circumference for women than for men (i.e. ≥85 cm for men, ≥90 cm for women), in contrast to the definition of MetS set in other countries.24–26 There can be also some other biological reasons affecting the results of gender difference, as gender-specific influences of sex hormones and adipocytokines on CVD in relation to obesity and MetS.27,28 A low-grade systemic inflammation is well known to contribute to the development of CVD.29 Even though the C-reactive protein levels are similar between genders, adiposity is more strongly positively associated with a low-grade systemic inflammation, as reflected in circulating C-reactive protein, in women than in men.30–33 This may be a mechanistic explanation for the gender difference. The presumable gender-related prediction of MetS for CVD outcomes remains an issue to be further examined. Considering the findings of the current study, preventative strategies of MetS against CVD for general Japanese people must be promoted. Besides drug prescription for metabolic disorders, lifestyle modifications including healthy eating and exercise with weight reduction/maintenance are a basic intervention as a universal approach. Public health check-up screening programs and post-screening health educational systems have already begun in Japan.34 Also, the management of MetS at personalized, organizational and population levels is currently introduced.34 A higher-salt intake is seen in Japan than in Western countries35 and such a high salt intake induces insulin resistance associated with hypertension and MetS.36 Thus, the initiatives of salt reduction may be effective for risk reduction of MetS and related CVD in Japan in particular. Several limitations associated with the present study warrant mention. Some studies included relatively few participants with CVD outcomes, which is often unavoidable due to the low incidence of CVD in Japan.10 Most studies might not have had a sufficiently long period to observe the development of CVD outcomes, especially mortality, as long-term care for a long lifespan is provided to Japanese people with CVD.11–13 In addition, the confounding factors in the adjusted analyses differed among the reviewed studies.

Conclusion

In this review, MetS was found to be a possibly positive predictor of CVD morbidity/mortality among general Japanese people. Since the available studies are limited, more research is needed for the further establishment of the relationship between MetS and CVD in Japan.
  35 in total

Review 1.  Invited commentary: insulin resistance syndrome? Syndrome X? Multiple metabolic syndrome? A syndrome at all? Factor analysis reveals patterns in the fabric of correlated metabolic risk factors.

Authors:  J B Meigs
Journal:  Am J Epidemiol       Date:  2000-11-15       Impact factor: 4.897

Review 2.  Obesity.

Authors:  David W Haslam; W Philip T James
Journal:  Lancet       Date:  2005-10-01       Impact factor: 79.321

3.  New criteria for 'obesity disease' in Japan.

Authors: 
Journal:  Circ J       Date:  2002-11       Impact factor: 2.993

4.  Sex differences in the relation of body composition to markers of inflammation.

Authors:  Barbara Thorand; Jens Baumert; Angela Döring; Christian Herder; Hubert Kolb; Wolfgang Rathmann; Guido Giani; Wolfgang Koenig
Journal:  Atherosclerosis       Date:  2005-07-01       Impact factor: 5.162

Review 5.  The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis.

Authors:  Salvatore Mottillo; Kristian B Filion; Jacques Genest; Lawrence Joseph; Louise Pilote; Paul Poirier; Stéphane Rinfret; Ernesto L Schiffrin; Mark J Eisenberg
Journal:  J Am Coll Cardiol       Date:  2010-09-28       Impact factor: 24.094

6.  Metabolic syndrome and risk of cardiovascular disease: a meta-analysis.

Authors:  Andrea Galassi; Kristi Reynolds; Jiang He
Journal:  Am J Med       Date:  2006-10       Impact factor: 4.965

Review 7.  Inflammation, C-reactive protein, and atherothrombosis.

Authors:  Paul M Ridker; Josh D Silvertown
Journal:  J Periodontol       Date:  2008-08       Impact factor: 6.993

8.  Proposed criteria for metabolic syndrome in Japanese based on prospective evidence: the Hisayama study.

Authors:  Yasufumi Doi; Toshiharu Ninomiya; Jun Hata; Koji Yonemoto; Hisatomi Arima; Michiaki Kubo; Yumihiro Tanizaki; Masanori Iwase; Mitsuo Iida; Yutaka Kiyohara
Journal:  Stroke       Date:  2009-03-05       Impact factor: 7.914

Review 9.  Beyond the body mass index: tracking body composition in the pathogenesis of obesity and the metabolic syndrome.

Authors:  M J Müller; M Lagerpusch; J Enderle; B Schautz; M Heller; A Bosy-Westphal
Journal:  Obes Rev       Date:  2012-12       Impact factor: 9.213

10.  Metabolic syndrome mortality in a population-based cohort study: Jichi Medical School (JMS) Cohort Study.

Authors:  Yasunori Niwa; Shizukiyo Ishikawa; Tadao Gotoh; Kazunori Kayaba; Yosikazu Nakamura; Eiji Kajii
Journal:  J Epidemiol       Date:  2007-11       Impact factor: 3.211

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3.  Impact of Metabolic Syndrome Components in High-Risk Cardiovascular Disease Development in Older Adults.

Authors:  Yuri Gustavo de Sousa Barbalho; Marina Morato Stival; Luciano Ramos de Lima; Izabel Cristina Rodrigues da Silva; Alessandro de Oliveira Silva; Manoela Vieira Gomes da Costa; Tania Cristina Morais Santa Barbara Rehem; Silvana Schwerz Funghetto
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Review 4.  Metabolic Syndrome and Autophagy: Focus on HMGB1 Protein.

Authors:  Vincenza Frisardi; Carmela Matrone; Maria Elisabeth Street
Journal:  Front Cell Dev Biol       Date:  2021-04-12

5.  A Predictive Model of Metabolic Syndrome by Medical Examination: Evidence from an 8-Year Chinese Cohort.

Authors:  Huanyu Guo; Wenwei Jiang; Bo Zhao; Yanhua Xiong; Zhenya Lu
Journal:  Diabetes Metab Syndr Obes       Date:  2021-11-08       Impact factor: 3.168

6.  Independent and joint effects of body mass index and metabolic health in mid- and late-life on all-cause mortality: a cohort study from the Swedish Twin Registry with a mean follow-up of 13 Years.

Authors:  Ida K Karlsson; Anna K Dahl Aslan; Peggy Ler; Xia Li; Linda B Hassing; Chandra A Reynolds; Deborah Finkel
Journal:  BMC Public Health       Date:  2022-04-11       Impact factor: 3.295

7.  The Incidence of Metabolic Syndrome and the Valid Blood Pressure Cutoff Value for Predicting Metabolic Syndrome Within the Normal Blood Pressure Range in the Population Over 40 Years Old in Guiyang, China.

Authors:  Li Ma; Hong Li; Huijun Zhuang; Qiao Zhang; Nianchun Peng; Ying Hu; Na Han; Yuxing Yang; Lixin Shi
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