| Literature DB >> 35651840 |
Hyun Ja Kim1, Yeon-Kyung Lee2, Hoseok Koo3, Min-Jeong Shin4.
Abstract
Sodium is a physiologically essential nutrient, but excessive intake is linked to the increased risk of various chronic diseases, particularly cardiovascular. It is, therefore, necessary to accomplish an evidence-based approach and establish the Korean Dietary Reference Intakes (KDRIs) index, to identify both the nutritional adequacy and health effects of sodium. This review presents the rationale for and the process of revising the KDRIs for sodium and, more importantly, establishing the sodium Chronic Disease Risk Reduction Intake (CDRR) level, which is a new specific set of values for chronic disease risk reduction. To establish the 2020 KDRIs for dietary sodium, the committee conducted a systematic literature review of the intake-response relationships between the selected indicators for sodium levels and human chronic diseases. In this review, 43 studies published from January 2014 to December 2018, using databases of PubMed and Web of Science, were finally included for evaluating the risk of bias and strength of evidence (SoE). We determined that SoE of the relationship between dietary sodium and cardiovascular diseases, cerebrovascular disease, and hypertension, was moderate to strong. However, due to insufficient scientific evidence, we were unable to establish the estimated average requirement and the recommended nutrient intake for dietary sodium. Therefore, the adequate intake of sodium for adults was established to be 1,500 mg/day, whereas the CDRR for dietary sodium was established at 2,300 mg/day for adults. Intake goal for dietary sodium established in the 2015 KDRIs instead of the tolerable upper intake level was not presented in the 2020 KDRIs. For the next revision of the KDRIs, there is a requirement to pursue further studies on nutritional adequacy and toxicity of dietary sodium, and their associations with chronic disease endpoint in the Korean population. ©2022 The Korean Nutrition Society and the Korean Society of Community Nutrition.Entities:
Keywords: Dietary Reference Intake; Sodium; South Korea
Year: 2022 PMID: 35651840 PMCID: PMC9127518 DOI: 10.4162/nrp.2022.16.S1.S70
Source DB: PubMed Journal: Nutr Res Pract ISSN: 1976-1457 Impact factor: 1.992
Fig. 1Indicators of exposure and health outcomes in a systematic review on the causal relationship between sodium intake and chronic disease for establishing the sodium Chronic Disease Risk Reduction Intake level.
Fig. 2Study selection process for the systematic review.
List of studies included in the systemic literature review
| Study design | Author | Year | Title |
|---|---|---|---|
| RCT-parallel | Jenkins | 2015 | The effect of a dietary portfolio compared to a DASH-type diet on blood pressure |
| Diaz | 2014 | The effects of weight loss and salt reduction on visit-to-visit blood pressure variability: results from a multicenter randomized controlled trial | |
| Reidlinger | 2015 | How effective are current dietary guidelines for cardiovascular disease prevention in healthy middle-aged and older men and women? A randomized controlled trial | |
| Zhou | 2016 | Intake of low sodium salt substitute for 3years attenuates the increase in blood pressure in a rural population of North China - A randomized controlled trial | |
| Juraschek | 2017 | Effects of sodium reduction and the DASH diet in relation to baseline blood pressure | |
| RCT-crossover | Muth | 2017 | Central systolic blood pressure and aortic stiffness response to dietary sodium in young and middle-aged adults |
| Nielsen | 2016 | Changes in the renin-angiotensin-aldosterone system in response to dietary salt intake in normal and hypertensive pregnancy. A randomized trial | |
| Cohort | Merino | 2015 | Is complying with the recommendations of sodium intake beneficial for health in individuals at high cardiovascular risk? Findings from the PREDIMED study |
| Kalogeropoulos | 2015 | Dietary sodium content, mortality, and risk for cardiovascular events in older adults: the Health, Aging, and Body Composition (Health ABC) Study | |
| Okayama | 2016 | Dietary sodium-to-potassium ratio as a risk factor for stroke, cardiovascular disease and all-cause mortality in Japan: the NIPPON DATA80 cohort study | |
| Mente | 2018 | Urinary sodium excretion, blood pressure, cardiovascular disease, and mortality: a community-level prospective epidemiological cohort study | |
| Cook | 2014 | Lower levels of sodium intake and reduced cardiovascular risk | |
| Willey | 2017 | Dietary sodium to potassium ratio and risk of stroke in a multiethnic urban population: the Northern Manhattan Study | |
| Prentice | 2017 | Associations of biomarker-calibrated sodium and potassium intakes with cardiovascular disease risk among postmenopausal women | |
| Li | 2018 | Longitudinal change of perceived salt intake and stroke risk in a Chinese population | |
| Joosten | 2014 | Sodium excretion and risk of developing coronary heart disease | |
| Voortman | 2017 | Adherence to the 2015 Dutch dietary guidelines and risk of non-communicable diseases and mortality in the Rotterdam Study | |
| Takase | 2015 | Dietary sodium consumption predicts future blood pressure and incident hypertension in the Japanese normotensive general population | |
| Buendia | 2015 | Longitudinal effects of dietary sodium and potassium on blood pressure in adolescent girls | |
| Timpka | 2017 | Lifestyle in progression from hypertensive disorders of pregnancy to chronic hypertension in Nurses’ Health Study II: observational cohort study | |
| Bertoia | 2014 | Mediterranean and Dietary Approaches to Stop Hypertension dietary patterns and risk of sudden cardiac death in postmenopausal women | |
| Horikawa | 2014 | Dietary sodium intake and incidence of diabetes complications in Japanese patients with type 2 diabetes: analysis of the Japan Diabetes Complications Study (JDCS) | |
| Umesawa | 2016 | Salty food preference and intake and risk of gastric cancer: The JACC Study | |
| Wang | 2017 | Composite protective lifestyle factors and risk of developing gastric adenocarcinoma: the Singapore Chinese Health Study | |
| Carbone | 2016 | Sodium intake and osteoporosis. Findings from the Women’s Health Initiative | |
| Nested case control | Lee | 2018 | Hyponatraemia and its prognosis in acute heart failure is related to right ventricular dysfunction |
| Deckers | 2014 | Long-term dietary sodium, potassium and fluid intake; exploring potential novel risk factors for renal cell cancer in the Netherlands Cohort Study on diet and cancer | |
| Deckers | 2017 | Promoter CpG island methylation in ion transport mechanisms and associated dietary intakes jointly influence the risk of clear-cell renal cell cancer | |
| Cross sectional | Kim | 2014 | The relationship of dietary sodium, potassium, fruits, and vegetables intake with blood pressure among Korean adults aged 40 and older |
| Tabara | 2015 | Descriptive epidemiology of spot urine sodium-to-potassium ratio clarified close relationship with blood pressure level | |
| Noh | 2015 | Association between high blood pressure and intakes of sodium and potassium among Korean adults: Korean National Health and Nutrition Examination Survey, 2007–2012 | |
| Xu | 2014 | Estimation of salt intake by 24-hour urinary sodium excretion: a cross-sectional study in Yantai, China | |
| Hu | 2017 | Prevalence, awareness, treatment, and control of hypertension among Kazakhs with high salt intake in Xinjiang, China: a community-based cross-sectional study | |
| Park | 2016 | The effect of the sodium to potassium ratio on hypertension prevalence: a propensity score matching approach | |
| Navia | 2014 | Sodium intake may promote weight gain; results of the FANPE study in a representative sample of the adult Spanish population | |
| Ge | 2016 | Are 24 h urinary sodium excretion and sodium:potassium independently associated with obesity in Chinese adults? | |
| Huh | 2015 | Gender-specific association between urinary sodium excretion and body composition: analysis of the 2008-2010 Korean National Health and Nutrition Examination Surveys | |
| Murakami | 2015 | Ability of self-reported estimates of dietary sodium, potassium and protein to detect an association with general and abdominal obesity: comparison with the estimates derived from 24 h urinary excretion | |
| Ma | 2015 | High salt intake: independent risk factor for obesity? | |
| Grimes | 2016 | 24-h urinary sodium excretion is associated with obesity in a cross-sectional sample of Australian schoolchildren | |
| Oh | 2017 | Associations of sodium intake with obesity, metabolic disorder, and albuminuria according to age | |
| Nam | 2017 | Association between 24-h urinary sodium excretion and obesity in Korean adults: a multicenter study | |
| Zhang | 2018 | A positive association between dietary sodium intake and obesity and central obesity: results from the National Health and Nutrition Examination Survey 1999–2006 |
RCT, randomized controlled trial.
Association between sodium levels and the risk of chronic diseases (event outcomes)
| Author (Year), Nation | Study design | Study subjects | Sodium levels | No. of cases/No. of category | RR/OR (95% CI) | Confounding variables considered | RoB | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Source of subjects, Mean age (yrs)/Sex (%) | Outcome (incidence or death rate) | Follow-up duration | Measurement unit | Categories | ||||||||
| Cardiovascular disease | ||||||||||||
| Merino | Cohort | Adults, NA (50–88 yrs)/Males 42.0% | Incidence (125/3,982; 0.031) | 1 yr | Intake amounts | Decrease in sodium intake | 33/1,199 | 0.66 (0.38, 1.15) | 0.040 | Demographic, anthropic, and medical factors, lifestyles, and foods intake | Low | |
| No change in sodium intake | 62/2,016 | 1.00 | ||||||||||
| Increase in sodium intake | 30/767 | 1.72 (1.01, 2.91) | ||||||||||
| Kalogeropoulos | Cohort | Adults, 73.6 (70–79 yrs)/Males 48.8% | Incidence (572/1,981; 0.289) | 10 yrs | Intake amounts | < 1,500 mg/day | 63/217 | 1.02 (0.79, 1.41) | 0.470 | Demographic, anthropic, and medical factors, lifestyles | Low | |
| 1,500–2,300 mg/day | 161/576 | 1.00 | ||||||||||
| > 2,300mg/day | 348/1,188 | 1.02 (0.84, 1.24) | ||||||||||
| Okayama | Cohort | Adults, NA (30–79 yrs)/Males 44.5% | Death rate (579/8,283; 0.070) | 24 yrs | Intake dietary Na-K ratio | 1st quintile | 110/1,581 | 1.00 | 0.005 | Demographic, anthropic, and medical factors, lifestyles, and foods intake | Low | |
| 2nd quintile | 114/1,652 | NA | ||||||||||
| 3rd quintile | 100/1,686 | NA | ||||||||||
| 4th quintile | 113/1,684 | NA | ||||||||||
| 5th quintile | 142/1,681 | 1.39 (1.20, 1.61) | ||||||||||
| Mente | Cohort | Adults, 50.4 (35–70 yrs)/Males 42.1% | Incidence (NA) | 8.1 yrs | Intake amounts | 1st tertile | NA | −1.00 (−2.00, −0.01) | < 0.001 | Demographic, anthropic, and medical factors, lifestyles | Low | |
| 2nd tertile | NA | 0.24 (−2.12, 2.61) | ||||||||||
| 3rd tertile | NA | 0.37 (−0.03, 0.78) | ||||||||||
| Cook | Cohort | Prehypertensive adults, NA (30–54 yrs)/Males 69.5% | Incidence (193/2,312; 0.083) | 10–15 yrs | 24-h urine | < 2,300 mg/24 h | 17/236 | 0.68 (0.34, 1.37) | 0.130 | Demographic, anthropic, and medical factors, lifestyles, and foods intake | Low | |
| 2,300–< 3,600 mg/24 h | 61/893 | 0.75 (0.50, 1.11) | ||||||||||
| 3,600–< 4,800 mg/24hr | 74/768 | 1.00 | ||||||||||
| > 4,800mg/24hr | 41/415 | 1.05 (0.68, 1.62) | ||||||||||
| Prentice | Cohort | Postmenopausal women, NA (50–79 yrs)/Female 100% | Incidence (5,897/86,444; 0.068) | 12 yrs | Intake | 20% increase in intake | 5,897/86,444 | 1.06 (0.92, 1.23) | NA | Demographic, and medical factors, lifestyles | Low | |
| Bertoia | Cohort | Postmenopausal women, NA (50–79 yrs)/Female 100% | Death rate (237/93,122; 0.003) | 10.5 yrs | Intake | 1st quintile | 52/18,465 | 1.00 | 0.460 | Demographic, anthropic, and medical factors, lifestyles, and foods intake | Low | |
| DASH diet pattern score | 2nd quintile | 56/18,216 | 1.09 (0.75, 1.60) | |||||||||
| 3rd quintile | 57/20,220 | 1.11 (0.75, 1.63) | ||||||||||
| 4th quintile | 41/17,808 | 0.95 (0.62, 1.45) | ||||||||||
| 5th quintile | 31/18,413 | 0.86 (0.54, 1.38) | ||||||||||
| Horikawa | Cohort | T2DM adults, NA (40–70 yrs)/Males 47.5% | Incidence (132/1,414; 0.09) | 8 yrs | Intake amounts | 1st quartile | 23/354 | 1.00 | 0.030 | Demographic, anthropic, and medical factors, lifestyles, and foods intake | Low | |
| 2nd quartile | 36/350 | 1.70 (0.98, 2.93) | ||||||||||
| 3rd quartile | 32/351 | 1.47 (0.82, 2.62) | ||||||||||
| 4th quartile | 41/359 | 2.07 (1.16, 3.71) | ||||||||||
| Lee | Nested case-control | Adults, 67.8 ± 14.9 yrs/Males 55.7% | Prevalence (NA) | 2 yrs | Serum level | With hyponatraemia | 94/116 | 1.00 | < 0.001 | Baseline characteristics | Low | |
| Without hyponatraemia | 78/232 | 8.00 (4.50, 14.22) | ||||||||||
| Cerebrovascular disease | ||||||||||||
| Okayama | Cohort | Adults, NA (30–79 yrs)/Males 44.5% | Death rate (273/8,283; 0.033) | 24 yrs | Intake dietary Na-K ratio | 1st quintile | 45/1,581 | 1.00 | 0.002 | Demographic, anthropic, and medical factors, lifestyles, and foods intake | Low | |
| 2nd quintile | 46/1,652 | NA | ||||||||||
| 3rd quintile | 55/1,686 | NA | ||||||||||
| 4th quintile | 53/1,684 | NA | ||||||||||
| 5th quintile | 74/1,681 | 1.43 (1.17, 1.76) | ||||||||||
| Mente | Cohort | Adults, 50.4 (35–70 yrs)/Males 42.1% | Incidence (NA) | 8.1 yrs | Intake amounts | 1st tertile | NA | −0.12 (−0.67, 0.43) | < 0.001 | Demographic, anthropic, and medical factors, lifestyles | Low | |
| 2nd tertile | NA | 0.28 (−1.26, 1.82) | ||||||||||
| 3rd tertile | NA | 0.54 (0.12, 0.96) | ||||||||||
| Willey | Cohort | Adults, 69 ± 10 yrs/Males 36% | Incidence (274/2,496; 0.110) | 12 yrs | Intake dietary Na-K ratio | Increase in Na-K ratio | 274/2,496 | 1.58 (1.20, 2.06) | NA | Demographic, anthropic, and medical factors, lifestyles, and foods intake | Low | |
| Prentice | Cohort | Postmenopausal women, NA (50–79 yrs)/Female 100% | Incidence (2,843/86,444; 0.033) | 12 yrs | Intake | 20% increase in intake | 2,843/86,444 | 0.98 (0.85, 1.13) | NA | Demographic, and medical factors, lifestyles | Low | |
| Li | Cohort | Adults, 53.6 ± 12 yrs/Males 77.8% | Incidence (1,564/79,490; 0.020) | 5 yrs | Intake changing pattern | Moderate-stable | 1,225/59,241 | 1.00 | NA | Demographic, anthropic, and medical factors, lifestyles | Low | |
| Moderate-decreasing | 141/9,268 | 0.77 (0.64, 0.91) | ||||||||||
| Moderate-increasing | 72/2,975 | 1.04 (0.82, 1.32) | ||||||||||
| Low-increasing | 54/2,879 | 0.92 (0.70, 1.22) | ||||||||||
| High-decreasing | 72/3,242 | 1.01 (0.79, 1.28) | ||||||||||
| Voortman | Cohort | Adults, 64.1 (49–83 yrs)/Males 41.9% | Incidence (979/29,442; 0.104) | 10.2 yrs | Intake Dutch dietary guidelines | 1st quintile | NA | 1.00 | 0.520 | Demographic, and anthropic factors, lifestyles, and foods intake | Low | |
| 2nd quintile | NA | 0.93 (0.78, 1.12) | ||||||||||
| 3rd quintile | NA | 0.88 (0.73, 1.06) | ||||||||||
| 4th quintile | NA | 0.97 (0.80, 1.17) | ||||||||||
| 5th quintile | NA | 0.92 (0.75, 1.13) | ||||||||||
| Hypertension | ||||||||||||
| Takase | Cohort | Adults, 54.1 ± 10.9 yrs/Males 64.2% | Incidence (1,027/4,523; 0.227) | 3.1 yrs | Intake amounts | Lower intake | NA | 1.00 | < 0.001 | Demographic, anthropic, and medical factors, and lifestyles | Low | |
| Higher intake | NA | 1.25 (1.04, 1.50) | ||||||||||
| Timpka | Cohort | Adults, NA (32–39 yrs)/Females 100% | Incidence (572/90,887 PY) | NA | Intake dietary Na-K ratio | 1st quartile | NA | 1.00 | 0.650 | Demographic, and anthropic factors, lifestyles, and foods intake | Low | |
| 2nd quartile | NA | 1.07 (0.82, 1.40) | ||||||||||
| 3rd quartile | NA | 0.98 (0.75, 1.27) | ||||||||||
| 4th quartile | NA | 1.07 (0.83, 1.38) | ||||||||||
| Adults, NA (40–49 yrs)/Females 100% | Incidence (5,716/334,976 PY) | NA | Intake dietary Na-K ratio | 1st quartile | NA | 1.00 | 0.030 | |||||
| 2nd quartile | NA | 1.04 (0.96, 1.13) | ||||||||||
| 3rd quartile | NA | 1.10 (1.02, 1.19) | ||||||||||
| 4th quartile | NA | 1.09 (1.00, 1.18) | ||||||||||
| Adults, NA (50–59 yrs)/Females 100% | Incidence (5,366/20,207 PY) | NA | Intake dietary Na-K ratio | 1st quartile | NA | 1.00 | 0.006 | |||||
| 2nd quartile | NA | 1.07 (0.99, 1.15) | ||||||||||
| 3rd quartile | NA | 1.14 (1.05, 1.23) | ||||||||||
| 4th quartile | NA | 1.11 (1.02, 1.20) | ||||||||||
| Noh | Cross-sectional | Adults, NA (> 19 yrs)/Males 50.3% | Prevalence (2,812/24,096; 0.120) | - | Intake combinations of Na and K intakes | Low Na/High K | 9.50%/4,516 | 1.00 | < 0.001 | Demographic, and anthropic factors, lifestyles, and foods intake | Low | |
| High Na/High K | 10.30%/7,532 | 0.99 (0.84, 1.18) | ||||||||||
| Low Na/Low K | 11.80%/7,532 | 1.19 (1.01, 1.40) | ||||||||||
| High Na/Low K | 12.40%/4,516 | 1.21 (1.02, 1.44) | ||||||||||
| Hu | Cross-sectional | Adults, 46.5 (> 30 yrs)/Males 46.7% | Prevalence (NA/1,668; 0.455) | - | Intake amounts | 1st quartile | NA | 1.00 | < 0.001 | Demographic factors | Low | |
| 2nd quartile | NA | NA | ||||||||||
| 3rd quartile | NA | NA | ||||||||||
| 4th quartile | NA | 1.74 (1.26, 2.39) | ||||||||||
| Park | Cross-sectional | Adults, 46.1 (20–79 yrs)/Males 31.8% | Prevalence (NA/30,206; 0.196) | - | Intake dietary Na-K ratio | 1st quartile | 19.27%/2,356 | 0.00 | NA | Propensity score matching | Low | |
| 2nd quartile | 18.00%/2,356 | 1.02% point | ||||||||||
| 3rd quartile | 19.44%/2,356 | 2.74% point | ||||||||||
| 4th quartile | 21.52%/2,356 | 3.44% point | ||||||||||
A moderate to strong strength of evidence was determined for the relationship between sodium and cardiovascular disease, cerebrovascular disease, and hypertension.
RR, relative risk; OR, odds ratio; CI, confidence interval; RoB, risk of bias; NA, not available; PY, person years; T2DM, type 2 diabetes mellitus.
Association between sodium levels and the risk of chronic diseases (continuous outcomes): hypertension
| Author (Year), Nation | Study design | Study subjects | Sodium levels | No. of cases/No. of category | Mean (95% CI) | Confounding variables considered | RoB | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Source of subjects, Mean age (yrs)/Sex (%) | Outcome | Follow-up duration | Measurement unit | Categories | ||||||||
| Jenkins | RCT | Hyperlipidemia adults, NA (20–85 yrs)/Males 39.0% | Mean arterial pressure | 24 wks | Intake | Dietary portfolio | 159 | −2.1 (−3.0, −1.3) | 0.026 | - | Low | |
| DASH-type diet | 82 | −0.3 (−1.5, 1.0) | ||||||||||
| Systolic blood pressure | Dietary portfolio | 159 | −2.5 (−3.7, −1.2) | 0.045 | ||||||||
| DASH-type diet | 82 | −0.4 (−2.1, 1.4) | ||||||||||
| Diastolic blood pressure | Dietary portfolio | 159 | −2.0 (−2.8, −1.2) | 0.026 | ||||||||
| DASH-type diet | 82 | −0.2. (−1.4, 0.9) | ||||||||||
| Diaz | RCT | Overweight adults, 43.9 ± 6.1 yrs/Males 66.0% | Visit-to-visit blood pressure | 36 mon | Intake | Sodium light lifestyle | 452 | 7.1 ± 3.0 | 0.290 | - | Low | |
| Usual care control | 463 | 6.9 ± 2.9 | ||||||||||
| Reidlinger | RCT | Adults, 53 (40–70 yrs)/Males 39.0% | Systolic blood pressure | 12 wks | Intake | Restriction on salt and sugar | 80 | −4.1 (NA) | 0.003 | - | Low | |
| Control diet | 82 | −0.5 (NA) | ||||||||||
| Diastolic blood pressure | Restriction on salt and sugar | 80 | −2.9 (NA) | 0.002 | ||||||||
| Control diet | 82 | −0.2 (NA) | ||||||||||
| Zhou | RCT | Families, 46.4 ± 13.6 yrs/Males 49.0% | Systolic blood pressure | 3 yrs | Intake | Low salt | 224 | −8.9 (NA) | NA | - | Low | |
| Normal salt | 238 | −5.8 (NA) | ||||||||||
| Diastolic blood pressure | Low salt | 224 | −4.7 (NA) | NA | ||||||||
| Normal salt | 238 | −2.4 (NA) | ||||||||||
| Juraschek | RCT | Pre- or stage 1 hypertension adults, 49.1 ± 10.4 yrs/Males 43.0% | Systolic blood pressure | 4 wks | Intake | DASH diet | 204 | −10.4 (−15.5, −5.3) | 0.020 | - | Low | |
| Control diet | 200 | −7.0 (−12.9, −1.2) | ||||||||||
| Muth | RCT | Young adults, 27.0 ± 1.0 yrs | Systolic blood pressure | 14 days | Intake | Low sodium diet | 85 | Young adults: −4.0 (NA) | 0.012 | - | Some concerns | |
| Middle-aged adults, 52.0 ± 1.0 yrs/Males 51.0% | Middle-aged: −9.0 (NA) | < 0.001 | ||||||||||
| High sodium diet | 85 | Young adults: NA | NA | |||||||||
| Middle-aged: NA | NA | |||||||||||
| Buendia | Cohort | Adolescent girl, NA (9–10 yrs)/Females 100% | Systolic blood pressure | 10 yrs | Intake dietary Na-K ratio | < 2,000 mg/day | 425 | 108.8 (108.0, 109.7) | 0.550 | Demographic, and anthropic factors, lifestyles, and foods intake | Low | |
| 2,500–3,000 mg/day | 644 | 109.3 (108.3, 109.6) | ||||||||||
| 3,000–4,000 mg/day | 905 | 108.9 (108.6, 109.7) | ||||||||||
| > 4,000 mg/day | 211 | 108.1 (108.0, 110.4) | ||||||||||
| Diastolic blood pressure | < 2,000 mg/day | 425 | 65.6 (64.8, 66.4) | 0.560 | ||||||||
| 2,500–3,000 mg/day | 644 | 65.6 (64.9, 66.2) | ||||||||||
| 3,000–4,000 mg/day | 905 | 65.5 (65.0, 66.0) | ||||||||||
| > 4,000 mg/day | 211 | 64.9 (63.8, 66.1) | ||||||||||
| Kim | Cross-sectional | Adults, Males 61.5 yrs, Females 59.7 yrs/Males 38.9% | Systolic blood pressure | - | Intake amounts | Male | Demographic, and anthropic factors, lifestyles, and foods intake | Low | ||||
| 1st quintile | 488 | 124.6 (123.0, 126.1) | 0.600 | |||||||||
| 2nd quintile | 489 | 124.4 (123.0, 125.9) | ||||||||||
| 3rd quintile | 489 | 124.3 (122.8, 125.7) | ||||||||||
| 4th quintile | 489 | 125.5 (124.1, 127.0) | ||||||||||
| 5th quintile | 488 | 125.7 (124.1, 127.3) | ||||||||||
| Female | ||||||||||||
| 1st quintile | 768 | 121.5 (120.2, 122.8) | 0.610 | |||||||||
| 2nd quintile | 768 | 122.5 (121.3, 123.7) | ||||||||||
| 3rd quintile | 768 | 121.9 (120.7, 123.1) | ||||||||||
| 4th quintile | 768 | 121.7 (120.5, 123.0) | ||||||||||
| 5th quintile | 768 | 121.2 (119.7, 122.4) | ||||||||||
| Diastolic blood pressure | Male | |||||||||||
| 1st quintile | 488 | 78.8 (77.8, 79.7) | 0.020 | |||||||||
| 2nd quintile | 489 | 79.7 (78.8, 80.6) | ||||||||||
| 3rd quintile | 489 | 80.5 (79.6, 81.4) | ||||||||||
| 4th quintile | 489 | 80.7 (79.9, 81.6) | ||||||||||
| 5th quintile | 488 | 80.6 (79.7, 81.6) | ||||||||||
| Female | ||||||||||||
| 1st quintile | 768 | 76.8 (75.9, 77.3) | 0.005 | |||||||||
| 2nd quintile | 768 | 78.3 (77.5, 79.0) | ||||||||||
| 3rd quintile | 768 | 77.4 (76.7, 78.1) | ||||||||||
| 4th quintile | 768 | 78.1 (77.4, 78.9) | ||||||||||
| 5th quintile | 768 | 78.4 (77.7, 79.1) | ||||||||||
| Tabara | Cross-sectional | Adults, 54 (30–74 yrs)/Males 52.2% | Blood pressure | - | Spot urine | Linear increase in urinary Na-K ratio | 9,144 | 0.112 (NA) | < 0.001 | Demographic, anthropic, and medical factors, lifestyles | Low | |
| Noh | Cross-sectional | Adults, NA (> 19 yrs)/Males 50.3% | Systolic blood pressure | - | Intake combinations of Na and K intakes | Low Na/High K | 4,516 | 113.0 ± 0.30 | < 0.001 | Demographic, and anthropic factors, lifestyles, and foods intake | Low | |
| High Na/High K | 7,532 | 113.7 ± 0.22 | ||||||||||
| Low Na/Low K | 7,532 | 114.2 ± 0.24 | ||||||||||
| High Na/Low K | 4,516 | 114.8 ± 0.31 | ||||||||||
| Diastolic blood pressure | Intake combinations of Na and K intakes | Low Na/High K | 4,516 | 73.9 ± 0.21 | < 0.001 | |||||||
| High Na/High K | 7,532 | 75.0 ± 0.17 | ||||||||||
| Low Na/Low K | 7,532 | 74.6 ± 0.17 | ||||||||||
| High Na/Low K | 4,516 | 75.8 ± 0.22 | ||||||||||
| Xu | Cross-sectional | Adults, 42.3 (18–69 yrs)/Males NA | Systolic blood pressure | - | 24-h urine | Linear increase in urinary sodium excretion | 191 | 0.16 (NA) | 0.010 | Demographic, and anthropic factors | Low | |
| Diastolic blood pressure | Linear increase in urinary sodium excretion | 191 | 0.12 (NA) | 0.060 | ||||||||
| Park | Cross-sectional | Adults, 46.1 (20–79 yrs)/Males 31.8% | Average treatment effects on systolic blood pressure | - | Intake dietary Na-K ratio | 1st quartile | 2,356 | 0.00 | NA | - | Low | |
| 2nd quartile | 2,356 | 1.10 ± 0.51 | ||||||||||
| 3rd quartile | 2,356 | 0.90 ± 0.52 | ||||||||||
| 4th quartile | 2,356 | 1.40 ± 0.54 | ||||||||||
| Average treatment effects on diastolic blood pressure | 1st quartile | 2,356 | 0.00 | |||||||||
| 2nd quartile | 2,356 | 0.80 ± 0.32 | ||||||||||
| 3rd quartile | 2,356 | 0.20 ± 0.33 | ||||||||||
| 4th quartile | 2,356 | 0.90 ± 0.34 | ||||||||||
Moderate to strong strength of evidence was determined for the relationship between sodium and hypertension.
CI, confidence interval; RoB, risk of bias; NA, not available; RCT, randomized controlled trial.
Level of risk of bias and strength of evidence for the relationship between sodium intakes and chronic diseases
| Health outcomes | Authors (Year) | RoB | Overall SoE |
|---|---|---|---|
| Cardiovascular disease | Bertoia | Low: 8 | Moderate |
| Cerebrovascular disease | Okayama | Low: 6 | Moderate |
| Coronary heart disease | Joosten | Low: 4 | Limited |
| Hypertension | Diaz | Low: 14 | Strong |
| Some concerns: 1 | |||
| Gastric cancer | Umesawa | Low: 2 | Limited |
| Renal cancer | Deckers | Low: 2 | Limited |
| Bone mineral density | Carbone | High: 1 | Grade not assignable |
| RAAS | Nielsen | Some concerns: 1 | Grade not assignable |
| Obesity | Navia | Low: 8 | Limited |
| Some concerns: 1 |
RoB, risk of bias; SoE, strength of evidence; RAAS, renin-angiotensin-aldosterone system.