| Literature DB >> 29450158 |
Yasunori Suematsu1, Shin-Ichiro Miura1,2, Bo Zhang2,3, Yoshinari Uehara1,2, Masaki Tokunaga1, Naohiro Yonemoto4, Hiroshi Nonogi5, Ken Nagao6, Takeshi Kimura7, Keijiro Saku1,2.
Abstract
BACKGROUND: Prospective cohort studies have shown that seafood consumption is inversely related to fatal coronary heart disease, sudden cardiac death and stroke. We studied whether the kind of seafood consumed in addition to seafood consumption per se is associated with out-of-hospital cardiac arrests (OHCA) of cardiac origin. METHODS ANDEntities:
Keywords: Cardiac arrest; Ecological study; Fatty acids; Seafood consumption
Year: 2013 PMID: 29450158 PMCID: PMC5801261 DOI: 10.1016/j.ijchv.2013.11.002
Source DB: PubMed Journal: Int J Cardiol Heart Vessel ISSN: 2214-7632
Patient characteristics.
| Total | Cardiac origin | Non-cardiac origin | |
|---|---|---|---|
| Age, yrs | 72 ± 18 | 75 ± 16 | 68 ± 21 |
| Male, n (%) | 387,059(58.6) | 211,623(58.1) | 175,436(59.2) |
| ROSC, n (%) | 42,899(6.5) | 23,587(6.5) | 19,312(6.5) |
| 1-month survival, n (%) | 31,707(4.8) | 19,530(5.4) | 12,177(4.1) |
| CPC1 or 2, n (%) | 14,337(2.2) | 10,812(3.0) | 3525(1.2) |
| OPC1 or 2, n (%) | 14,188(2.1) | 10,714(2.9) | 3474(1.2) |
| Initial rhythm | |||
| VF | 47,158(7.1) | 40,549(11.1) | 6609(2.2) |
| Pulseless VT | 1627(0.2) | 1058(0.3) | 569(0.2) |
| PEA | 140,691(21.3) | 73,357(20.1) | 67,334(22.7) |
| Asystole | 443,209(67.1) | 235,657(64.6) | 207,552(70.1) |
ROSC = return of spontaneous circulation.
CPC = cerebral performance category.
OPC = overall performance category.
VF = ventricular fibrillation.
VT = ventricular tachycardia.
PEA = pulseless electrical activity.
p < 0.01 vs. non-cardiac origin.
Fig. 1Mean age-adjusted incidence of OHCA of cardiac origin (left panel) or non-cardiac origin (right panel) in the 47 prefectures of Japan between 2005 and 2010.
Fig. 2Yearly changes in overall seafood consumption and the incidence of OHCA in the 47 prefectures of Japan from 2000 to 2010.
Green line indicates the consumption of overall fish. Orange, red, and blue lines indicate the incidence of OHCA in all patients, cardiac and non-cardiac origin, respectively.
Associations between the consumption of kinds of seafood and the age-adjusted incidence of out-of-hospital cardiac arrest of cardiac origin.
| Consumption | r | p | |
|---|---|---|---|
| Tuna, g | 2.1 ± 1.2 | 0.602 | < 0.0001 |
| Horse mackerel, g | 1.5 ± 0.9 | − 0.568 | < 0.0001 |
| Sardine, g | 0.8 ± 0.4 | − 0.454 | 0.001 |
| Bonito, g | 1.2 ± 0.8 | 0.319 | 0.029 |
| Flounder, g | 1.3 ± 0.9 | 0.026 | 0.862 |
| Salmon, g | 2.6 ± 0.8 | 0.539 | < 0.0001 |
| Mackerel, g | 1.3 ± 0.4 | − 0.513 | 0.0002 |
| Saury, g | 1.9 ± 0.7 | 0.607 | < 0.0001 |
| Sea bream, g | 0.7 ± 0.5 | − 0.527 | 0.0001 |
| Yellowtail, g | 2.0 ± 0.9 | − 0.517 | 0.0002 |
| Cuttlefish, g | 2.6 ± 0.9 | 0.396 | 0.006 |
| Octopus, g | 0.7 ± 0.2 | 0.390 | 0.390 |
| Shrimp, g | 1.8 ± 0.4 | − 0.258 | 0.080 |
| Crab, g | 0.9 ± 0.7 | 0.007 | 0.966 |
Fig. 3A and B: Correlations between the age-adjusted incidence of OHCA and the consumption of different kinds of seafood in the 47 prefectures of Japan. Red lines and circles indicate the correlation to OHCA of cardiac origin. Blue lines and circles indicate the correlation to OHCA of non-cardiac origin.
*p < 0.05, **p < 0.01, ***p < 0.001.
Associations between the consumption of kinds of seafood and salt consumption in the 47 prefectures of Japan.
| Consumption | r | p | |
|---|---|---|---|
| Tuna, g | 2.1 ± 1.2 | − 0.004 | 0.978 |
| Horse mackerel, g | 1.5 ± 0.9 | − 0.083 | 0.578 |
| Sardine, g | 0.8 ± 0.4 | − 0.14 | 0.345 |
| Bonito, g | 1.2 ± 0.8 | 0.002 | 0.991 |
| Flounder, g | 1.3 ± 0.9 | 0.388 | 0.007 |
| Salmon, g | 2.6 ± 0.8 | 0.359 | 0.013 |
| Mackerel, g | 1.3 ± 0.4 | − 0.042 | 0.781 |
| Saury, g | 1.9 ± 0.7 | 0.386 | 0.007 |
| Sea bream, g | 0.7 ± 0.5 | − 0.386 | 0.008 |
| Yellowtail, g | 2.0 ± 0.9 | − 0.116 | 0.436 |
| Cuttlefish, g | 2.6 ± 0.9 | 0.503 | 0.0003 |
| Octopus, g | 0.7 ± 0.2 | − 0.245 | 0.097 |
| Shrimp, g | 1.8 ± 0.4 | − 0.206 | 0.165 |
| Crab, g | 0.9 ± 0.7 | − 0.067 | 0.653 |
Associations between the consumption of fatty acids and the age-adjusted incidence of out-of-hospital cardiac arrest of cardiac origin.
| Fatty acid | r | p | |
|---|---|---|---|
| Lipid | 1.73 ± 0.27 | − 0.17 | 0.253 |
| Total fatty acid, g | 1.27 ± 0.20 | − 0.117 | 0.435 |
| Saturated fatty acids, g | 0.36 ± 0.06 | − 0.321 | 0.028 |
| Monounsaturated fatty acid, g | 0.55 ± 0.09 | 0.039 | 0.797 |
| Polyunsaturated fatty acid, g | 0.37 ± 0.06 | − 0.201 | 0.177 |
| Omega-3 fatty acid, g | 0.32 ± 0.05 | − 0.195 | 0.189 |
| Omega-6 fatty acid, g | 0.04 ± 0.01 | − 0.155 | 0.298 |
| Lauric acid, mg | 0.41 ± 0.08 | − 0.227 | 0.125 |
| Myristic acid, mg | 65.4 ± 11.3 | 0.087 | 0.561 |
| Palmitic acid, mg | 206.9 ± 36.2 | − 0.353 | 0.015 |
| Stearic acid, mg | 51.6 ± 9.7 | − 0.426 | 0.003 |
| Oleic acid, mg | 189.4 ± 32.1 | − 0.403 | 0.005 |
| Linoleic acid, mg | 21.2 ± 3.1 | − 0.086 | 0.566 |
| Alpha linolenic acid, mg | 12 ± 1.8 | − 0.059 | 0.693 |
| Gamma linolenic acid, mg | 1.3 ± 0.2 | − 0.117 | 0.434 |
| Arachidonic acid, mg | 12.4 ± 2.3 | − 0.384 | 0.008 |
| Eicosapentaenoic acid, mg | 88.3 ± 16.0 | − 0.286 | 0.052 |
| Docosahexaenoic acid, mg | 152.1 ± 23.0 | − 0.166 | 0.266 |
Associations between risk factors and age-adjusted incidence of out-of-hospital cardiac arrest of cardiac origin.
| Risk factors | r | p | |
|---|---|---|---|
| Sex ratio, % | 58.0 | − 0.241 | 0.102 |
| Salt consumption, g | 2.1 ± 0.5 | − 0.123 | 0.411 |
| Alcohol consumption, yen | 38.2 ± 5.0 | 0.046 | 0.761 |
| Tobacco consumption, yen | 9.5 ± 2.0 | 0.122 | 0.414 |
| Age-adjusted prevalence of hypertension | 570.0 ± 77.0 | − 0.142 | 0.340 |
| Age-adjusted prevalence of dyslipidemia | 114.9 ± 23.3 | − 0.091 | 0.544 |
| Participation rate in sports, % | 63.5 | 0.108 | 0.470 |
| Percentage of obesity, % | 31.6 | 0.273 | 0.064 |
| Rate of advancement to high school, % | 98.0 | − 0.090 | 0.548 |
/10 × 104 person.
Fig. 4Yearly changes in the consumption of each seafood in the 47 prefectures of Japan from 2000 to 2010. The trends in the consumption of most of the seafoods were negative. Green shows total seafood consumption, while the consumption of each type of fish is shown in blue (tuna), gray (saury), orange (horse mackerel), black (bonito), and red (sardine).