| Literature DB >> 25352919 |
Christine Tørris1, Marianne Molin2, Milada Cvancarova Småstuen1.
Abstract
Metabolic syndrome (MetS) has a huge impact on public health, and today lifestyle interventions remain the primary mode for MetS therapy. It is therefore important to elucidate the possible preventive effects of diet and foods, and their MetS-related health implications. To examine how fish consumption affects the development and prevalence of MetS, we systematically reviewed cross-sectional, prospective cohort, and intervention studies conducted among adults (humans) and, reporting consumption of fish or seafood as being related to MetS (prevalence or incidence), where MetS was defined via an established definition. The literature search in PubMed identified 502 citations, and after screening, 49 full-text articles were retrieved and assessed for eligibility. After excluding duplicates and those not meeting the inclusion criteria, seven studies from Croatia, Finland, France, Iceland, Iran, Korea, and US were included. Four studies (one follow-up and three cross-sectional) found associations between fish consumption and MetS (three among men, and one among women), suggesting that fish consumption may prevent or improve metabolic health and have a protective role in MetS prevention. This protective role might be related to gender, and men may benefit more from the consumption of fish. However, lack of controlling for potential confounders may also inflict the results. Additional research is required to further explore fish consumption and its potential role in improving or reversing MetS and its components.Entities:
Keywords: Consumption of fish; Diet; Fish intake; Insulin resistance; Metabolic syndrome; Seafood; Systematic review
Year: 2014 PMID: 25352919 PMCID: PMC4210541 DOI: 10.1186/1758-5996-6-112
Source DB: PubMed Journal: Diabetol Metab Syndr ISSN: 1758-5996 Impact factor: 3.320
Figure 1Flow of studies through the different phases of this systematic review.
Different criteria for diagnosing metabolic syndrome (MetS) used in studies included in this review
| Criteria | Study | Men | Women | |
|---|---|---|---|---|
|
| IDF
[ | Pasalic et al., 2011
[ | ≥ 94 cm | ≥ 80 cm |
| IDF
[ | Ramel et al., 2009
[ | |||
| JIS
[ | Zaribaf et al., 2014
[ | |||
| ATP III
[ | Kouki et al., 2011
[ | > 102 cm | > 88 cm | |
| ATP III
[ | Lai et al., 2013
[ | |||
| ATP III
[ | Ruidavets et al., 2007
[ | |||
| Alternative
[ | Baik et al., 2010
[ | ≥ 85 cm | ≥ 80 cm | |
|
| ATP III
[ | Baik et al., 2010
[ | < 1.0 mmol/L (40 mg/dL) | < 1.3 mmol/L (50 mg/dL) |
| ATP III
[ | Kouki et al., 2011
[ | |||
| ATP III
[ | Lai et al., 2013
[ | |||
| IDF
[ | Pasalic et al., 2011
[ | |||
| IDF
[ | Ramel et al., 2009
[ | |||
| ATP III
[ | Ruidavets et al., 2007
[ | |||
| JIS
[ | Zaribaf et al., 2014
[ | |||
|
| ATP III
[ | Baik et al., 2010
[ | ||
| ATP III
[ | Kouki et al., 2011
[ | |||
| ATP III
[ | Lai et al., 2013
[ | |||
| IDF
[ | Pasalic et al., 2011
[ | > 1.7 mmol/L (150 mg/dL) | ||
| IDF
[ | Ramel et al., 2009
[ | |||
| ATP III
[ | Ruidavets et al., 2007
[ | |||
| JIS
[ | Zaribaf et al., 2014
[ | |||
|
| ATP III
[ | Baik et al., 2010
[ | ||
| ATP III
[ | Kouki et al., 2011
[ | |||
| ATP III
[ | Lai et al., 2013
[ | |||
| IDF
[ | Pasalic et al., 2011
[ | SBP ≥130 mm Hg | ||
| IDF
[ | Ramel et al., 2009
[ | DBP ≥85 mm Hg | ||
| ATP III
[ | Ruidavets et al., 2007
[ | |||
| JIS
[ | Zaribaf et al., 2014
[ | |||
|
| ATP III
[ | Baik et al., 2010
[ | ≥ 5.6 mmol/ L (100 mg/dL) | |
| IDF
[ | Pasalic et al., 2011
[ | |||
| IDF
[ | Ramel et al., 2009
[ | |||
| JIS
[ | Zaribaf et al., 2014
[ | |||
| ATP III
[ | Kouki et al., 2011
[ | ≥ 6.1 mmol/l (110 mg/dL) | ||
| ATP III
[ | Lai et al., 2013
[ | |||
| ATP III
[ | Ruidavets et al., 2007
[ | |||
ATP III: Adult Treatment Panel III; the presence of three criteria must be fulfilled to diagnose MetS. IDF: International Diabetes Foundation; the criteria of waist (population specific) and two of the other criteria must be fulfilled to diagnose MetS.
JIS: Joint Interim Statement; the criteria of waist (population specific) and two of the other criteria must be fulfilled to diagnose MetS.SBP: Systolic blood pressure. DBP: Diastolic blood pressure.
Characteristics of studies on fish consumption and metabolic syndrome (MetS), organized by study design (intervention, prospective, cross-sectional)
| Reference | Country/design | Aim | Population | Diet | Adjustments | Results adjusted OR (95% CI) incidence/prevalence of MetS |
|---|---|---|---|---|---|---|
| Ramel et al., 2009
[ | Iceland RCT, part of SEAFOODplus YOUNG study 8w parallel intervention | Investigate whether cod consumption increases weight loss and CVD risk factors | n = 126, 20–40 y, overweight healthy, no gender distribution given | Energy-restricted diets (−30%), identical macronutrient composition, different amounts of cod (control group: no seafood, group 1: 150 g cod 3x/w, group 2: 150 g cod 5x/w) | In linear model with waist (baseline anthropometric measure, gender, diet group), and with blood variables (baseline anthropometric measure, weight loss, gender, diet group) | No association |
| Baik et al., 2010
[ | Korea 3 y follow up Korean Genome Epidemiology Study | Investigate effect of fish and n-3 fatty acid intake on incidence of MetS | n = 3504, 40–69 y 52% men, free of MetS and CVD at baseline | FFQ Average fish intake was grouped (<1/week, 1-4/week, 5-6/week and daily) | Age, BMI, income, occupation, marital status, education, smoking, alcohol, physical activity, dietary intake (energy, fat, fibre, red meat, dairy products, sweetened carbonated beverage, multivitamin), health (diabetes, hypertension, menopausal status, postmenopausal hormone use) | Men: Average daily intake of fish (40–70 g) reduced the risk of having MetS, compared with eating fish less than once a week OR 0.43 (0.23-0.83) Women: No associations |
| Kouki et al., 2011
[ | Finland Cross-sectional, DR’s EXTRAStudy | Studie associations between food items and nutrients versus the risk of having MetS | n = 1 334, 57–78 y 50% men Representative population sample | 4-day food record Consumption of fish divided into tertiles (<18.5, 18.5–59.5, (>59.5 g/day) | a, Age, alcohol consumption, smoking b, Further for education, VO2max | Men: the middle and highest tertile had almost half the risk of having MetS, compared to lowest tertile. a, t2: 0.51 (0.33–0.77) t3: 0.53 (0.35–0.81)b, t2: 0.52 (0.32–0.83) t3: 0.63 (0.40–1.00)Women: No association |
| Lai et al., 2013
[ | Cross-sectional National Heart, Lung, and Blood Institute Family Heart Study | Assess association between dietary omega-3 fatty acids and MetS prevalence | n = 4941, mean age (SD) 52.1 (13.9) y 46% men | FFQ (fish consumption classified as 0, 1, 2, ≥3 servings/ week) | Age, gender, race, alcohol intake, smoking, exercise, TV watching, energy intake, multivitamin use, fruits/vegetables intake, fibre intake, risk group | No association |
| Pasalic et al. 2011
[ | Croatia Cross-sectional | Investigate prevalence of MetS, and influence of lifestyle habits between continental and Mediterranean–Adriatic centres | n = 320, 70–90 y, 44% men | FFQ Consumption of fish grouped into never/rarely or monthly | Centres | No association |
| Ruidavets et al., 2007
[ | France Cross-sectional | Analyse relation between food groups and frequency of IRS | n = 912, 100% men 45–64 years randomly selected | 3-day food record fish consumption divided into tertiles | Age, centre, physical activity, education, smoking habits, alcohol consumption, drugs (hypertension, dyslipidaemia), energy intake (without alcohol), dieting, and diet quality index | A negative association between fish intake and prevalence of MetS OR 0.57 (0.38-0.86), when comparing highest tertile to lowest |
| Zaribaf et al., 2014
[ | Iran Cross-sectional | Association between fish consumption and metabolic syndrome and its components | n = 420, 100% women, >30 y | FFQ fish consumption divided into tertiles | Age, energy intake, physical activity, socioeconomic status, medication use, marital, menopausal status, dietary intake (red meat, grains, fruits, vegetables, legume, nuts, dairy products, fibre, oils), BMI | Individuals in the highest tertile of fish intake were less likely to have MetS, compared to those in the lowest tertile OR 0.04 (0.004–0.61) |
BMI: Body Mass Index; CI: confidence interval; CVD: cardiovascular disease; FFQ: Food Frequency Questionnaire; DBP: diastolic blood pressure; IRS: insulin resistance syndrome; MetS: metabolic syndrome; OR: odds ratio; RCT: randomized clinical trial; SBP: systolic blood pressure; WC: waist circumference.