Journal of Research in Medical Sciences

: 2020  |  Volume : 25  |  Issue : 1  |  Page : 116-

Association between urinary potassium excretion and blood pressure: A systematic review and meta-analysis of observational studies

Rahele Ziaei1, Gholamreza Askari2, Sahar Foshati3, Hamid Zolfaghari2, Cain C T Clark4, Mohammad Hossein Rouhani2,  
1 Students' Research Committee; Department of Community Nutrition, Food Security Research Center, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
2 Department of Community Nutrition, Food Security Research Center, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
3 Students' Research Committee; Department of Clinical Nutrition, Food Security Research Center, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
4 Centre for Intelligent Healthcare, Coventry University, Coventry, England

Correspondence Address:
Dr. Mohammad Hossein Rouhani
Department of Community Nutrition, Food Security Research Center, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan


Background: The evidence base regarding the association between urinary potassium and blood pressure (BP), or risk of hypertension, is inconsistent. Therefore, we sought to conduct a qualitative and quantitative literature review on the association between potassium excretion and BP. Materials and Methods: Medline, Scopus, Web of Science, Science Direct, and Google Scholar were searched up to June 2020. All observational studies that reported BP and measured potassium excretion in overnight or 24-h urine samples were included. Correlation coefficients, mean urinary potassium excretion, and odds ratio (ORs) of hypertension were extracted from the included studies. There were no language or publication date restrictions. Results: Overall, twelve observational studies, including 16,174 subjects, were identified for inclusion in the present meta-analysis, and 21 effect sizes were extracted. Pooled mean potassium excretion was 3.46 mmol/24 h higher in normotensive individuals compared with hypertensive subjects (95% confidence interval [CI]: 0.61, 6.31). High urinary potassium excretion was not associated with the risk of hypertension (OR: 0.95; 95% CI: 0.79, 1.13). The pooled correlation coefficient between BP and urinary potassium was not significant (ES: 0.01; 95% CI: −0.03, 0.05). However, a subgroup analysis by age indicated a significant positive correlation between urinary potassium and systolic BP in children (ES: 0.12; 95% CI: 0.04, 0.19). Conclusion: 24 h urinary potassium excretion was not correlated to BP and risk of hypertension. In contrast, mean urinary potassium excretion was higher in normotensive individuals compared with hypertensive counterparts. Future studies should focus on the association between different sources of dietary potassium and BP.

How to cite this article:
Ziaei R, Askari G, Foshati S, Zolfaghari H, Clark CC, Rouhani MH. Association between urinary potassium excretion and blood pressure: A systematic review and meta-analysis of observational studies.J Res Med Sci 2020;25:116-116

How to cite this URL:
Ziaei R, Askari G, Foshati S, Zolfaghari H, Clark CC, Rouhani MH. Association between urinary potassium excretion and blood pressure: A systematic review and meta-analysis of observational studies. J Res Med Sci [serial online] 2020 [cited 2021 Jan 28 ];25:116-116
Available from:

Full Text


Hypertension is regarded as one of the leading modifiable causes of morbidity and mortality worldwide, affecting approximately 1.39 billion adults, and the prevalence is predicted to increase by at least 30% by 2025.[1] Nearly 40% of people aged >25 years worldwide are reported to suffer from hypertension.[2] Lifestyle determinants, including dietary factors, profoundly impact blood pressure (BP) and the risk of hypertension.[3] Although dietary interventions for the prevention and management of hypertension have predominantly focused on the reduction of sodium intake, many other dietary factors, such as adequate intake of potassium, calcium, and magnesium, should be considered as part of a healthy diet for patients with hypertension.[4] Several studies have reported that the effects of nonsalt components of a healthy diet, such as adequate potassium, magnesium, and calcium consumption, produced more favorable improvements in BP than reducing salt intake.[5],[6] Potassium is an essential mineral in BP regulation, and it can modulate the adverse effects of sodium on BP.[7] Several epidemiologic and intervention studies have reported an inverse correlation between potassium intake, BP, and the prevalence of hypertension.[8],[9],[10]

Accuracy of measuring daily intake of potassium is one of the greatest concerns in epidemiologic studies.[10],[11] Although most studies utilize self-reported measurement of dietary intake, such methods are inherently limited by participant ability to recall detailed information on foods, beverages, and portion sizes.[10] Serum potassium concentration and 24 h urinary potassium excretion are two biomarkers of potassium intake,[12],[13] and given that serum potassium is strictly controlled by physiological pathways, 24 h urine is recommended as the gold standard for measuring potassium intake.[10],[14]

Serum potassium level, both below and above the normal range, has been associated with adverse clinical outcomes, including hypertension.[15] The association between 24 h urinary potassium excretion and BP has been investigated in several epidemiologic studies,[2],[10],[14] however, results have been inconsistent. Indeed, some studies have shown a negative association between potassium excretion and BP,[2],[14],[16],[17],[18] while, in contrast, others have reported a null or a positive relation between urinary potassium and BP.[19],[20],[21],[22] To the authors knowledge, there is no comprehensive systematic review and meta-analysis that has explored the relationship between 24 h urinary potassium and BP. Thus, the aim of the present study was to conduct a systematic review and meta-analysis based on published observational data regarding the association between urinary potassium excretion and BP or risk of hypertension.

 Materials and Methods

Search strategy

This study was planned, conducted, and reported according to the Meta-Analysis of Observational Studies in Epidemiology guidelines.[23] Electronic databases, including Medline, Scopus, Web of Science, ScienceDirect, and Google Scholar were searched from inception to June 2030. The following search terms were used: (“potassium excretion” [Title/Abstract] OR “urinary potassium” [Title/Abstract] OR “urine potassium” [Title/Abstract] OR “urinary cations” [Title/Abstract]) OR “potassium intake” [Title/Abstract]) OR “potassium status” [Title/Abstract]) AND (“blood pressure” [MeSH] OR “systolic blood pressure” [Title/Abstract] OR “diastolic blood pressure” [Title/Abstract] OR “hypertension” [MeSH] OR “high blood pressure” [Title/Abstract]) OR “Cardiovascular events” [Title/Abstract]) OR “chronic disease” [Title/Abstract]). No other restrictions were imposed in the literature search, and the reference lists of all relevant original and review articles were also searched manually.

Study selection

In the first round of screening, the title and abstract of all retrieved articles were independently evaluated by two authors (R.Z and S.F) to identify eligible studies. In the second round of screening, full text of publications identified for further evaluation were reviewed. Any disagreements between authors were discussed and resolved by consensus. All observational studies that reported the association between BP and potassium excretion, in overnight or 24 h urine samples, were included. Duplicate publications, reviews, experimental researches, letters, comments, editorials, case reports, conference reports, and studies that measured urinary potassium excretion in a spot urine samples, respectively, were excluded.

Data extraction

Characteristics of eligible articles including the first author's last name, publication year, study location, total and gender-specific sample size, mean age, study design, follow-up duration, urine sample collection method, reported statistics, adjusted confounders, and main findings were extracted and tabulated. The correlation coefficient between urinary potassium excretion and systolic BP (SBP) and diastolic BP (DBP) BP, mean and standard deviation or standard error of urinary potassium excretion in normotensive and hypertensive individuals, and risks of hypertension in the highest category of urinary potassium excretion were also extracted from eligible articles.

Quality assessment

The methodological quality of included studies was assessed using the Newcastle–Ottawa Scale. This scale consists of three categories: Selection, comparability, and exposure or outcome. Total quality score can range from 0 to 9 for case–control and cohort studies, and from 0 to 10 for cross-sectional studies. In general, studies that were scored ≥7 were considered as high quality.[24],[25]

Statistical analysis

Reported standard errors were converted to standard deviations, and all units for means ± standard deviations were converted to mmol/day.[26] Log-transformed odds ratios (ORs) of hypertension across different categories of urinary potassium excretion were used to calculate appropriate effect sizes. The overall risk of hypertension was estimated by pooling the reported and calculated ORs. The analysis was performed separately for means and risk of hypertension.

Overall effect sizes were calculated by pooling the effect sizes derived from each study. When the number of effect sizes was <5, the overall effect sizes were estimated using a fixed-effects model.[27] Otherwise, a random-effects model was used to pool effect sizes. Between-study heterogeneity was assessed using the I-squared (I2) statistic. In the case of significant between-study heterogeneity, subgroup analysis was conducted to investigate the potential sources of heterogeneity. Between-subgroup heterogeneity was evaluated using a fixed-effects model. Sensitivity analysis was carried out to test the robustness of the pooled results, while Begg's rank correlation test and Egger's linear regression test, respectively, were used to detect potential publication bias. When publication bias was significant, a trim-and-fill analysis was performed to determine the possible impact of publication bias. All statistical analyses were performed using Stata software (version 11.2, Stata Corporation, College Station, Texas, USA); additionally, analyses were two-tailed, and statistical significance was set at P < 0.05, a priori.


A flow diagram of the study selection process is shown in [Figure 1]. Finally, 22 articles were included in the present study.[10],[14],[17],[19],[20],[21],[22],[28],[29],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42]{Figure 1}

Characteristics of eligible studies are reported in [Table 1]. Eighteen studies[10],[17],[19],[21],[22],[30],[31],[32],[33],[34],[35],[36],[37],[38],[39],[40],[41],[42] used a cross-sectional design, two were case–control studies,[28],[29] and two had a cohort design.[14],[20] Cohort studies enrolled healthy subjects, case–control studies used healthy subjects in control groups and hypertensive subjects in case groups, and cross-sectional studies included both healthy and hypertensive participants. All studies enrolled adults, except for two studies which recruited subjects aged <18 years old.[33],[38] Although most studies used 24 h urinary collections for potassium excretion measurement,[10],[14],[17],[19],[21],[22],[29],[30],[33],[34],[35],[37],[38],[39],[41],[42] 6 studies used an over-night urinary specimen.[20],[28],[31],[32],[36],[40] Study bias assessment showed that most studies were of high quality.[8],[10],[14],[17],[20],[21],[22],[30],[31],[32],[34],[35],[37],[38],[39],[40],[41],[42] Six studies were conducted using partial adjustment,[19],[22],[28],[31],[40],[41] fourteen studies with full adjustment,[10],[14],[17],[20],[21],[32],[34],[35],[36],[38],[39],[42],[43],[44] and in two studies, correlation coefficients were reported without any adjustments.[29],[33] Factors which were adjusted are as follows; age, body mass index, sex, alcohol intake, total energy intake, each of the other dietary electrolytes, smoking status, plasma aldosterone, physical activity, antihypertensive medication use, and waist circumference.{Table 1}

Eight studies reported no significant association between urinary potassium concentrations and BP.[21],[22],[28],[31],[36],[38],[40],[41] Mean 24 h urinary potassium was not significantly different between normotensive and hypertensive individuals in 3 studies.[28],[29],[42] Although eight studies reported a significant negative correlation between urinary potassium and BP,[10],[14],[17],[30],[31],[34],[35],[37] three studies showed a positive association.[20],[33],[39] Furthermore, the results were inconsistent between men and women in one study.[19]

Pooled correlation coefficient

Sixteen studies were eligible for meta-analysis[10],[14],[17],[19],[20],[21],[22],[28],[32],[33],[36],[37],[38],[39],[40],[42] and 22 effect sizes were extracted (n = 19261). The correlation coefficient between urinary potassium excretion and SBP or DBP was reported in 10 studies (11 effect sizes).[17],[19],[20],[22],[32],[33],[36],[38],[40] As shown in [Figure 2], the pooled correlation coefficient between DBP and urinary potassium excretion was not significant (ES: 0.02; 95% confidence interval [CI]: −0.02, 0.05), with no significant heterogeneity (I2 = 33.1%; P = 0.134). Although a comparable result was obtained for SBP (ES: −0.01; 95% CI: −0.06, 0.04), between-study heterogeneity was high in this case (I2 = 73.9%; P < 0.001). Therefore, we ran a subgroup analysis based on gender, region, age, and type of urine sample. Although studies conducted on children (<18 years) showed a significant positive correlation between urinary potassium and SBP (ES: 0.12; 95% CI: 0.04, 0.19), results indicated no significant correlation in adults (ES: −0.03; 95% CI: −0.08, 0.02) [Figure 3]. Heterogeneity was not significant in the children subgroup (I2 = 0.0%; P = 0.84), however, it was high in the adult subgroup (I2 = 73.9%; P = 0.000). In addition, between-subgroup heterogeneity was high (P = 0.001). Subgroup analysis based on type of urine sample is shown in [Figure 4]. Accordingly, the overall effect size of studies which used 24 h (ES: −0.01; 95% CI: 0.09, 0.07) or overnight urinary samples (ES: 0.01; 95% CI: 0.02, 0.04) reported no correlation between urinary potassium and both SBP and DBP. Although there was no significant heterogeneity in the overnight urine sample subgroup (I2 = 0.0%; P = 0.683), heterogeneity in the 24 h urine sample subgroup was high (I2 = 79.9%; P < 0.001). Further subgroup analysis which did not attenuate heterogeneity is displayed in [Table 2].{Figure 2}{Figure 3}{Figure 4}{Table 2}

Mean urinary potassium in normotensive versus hypertensive subjects was reported in 5 studies (n = 4030). As shown in [Figure 5], mean potassium excretion was 3.31 mmol/24 h higher in normotensive individuals, compared with hypertensive subjects (95% CI: 1.22, 5.39). We did not observe any significant heterogeneity (I2 = 0.0%; P = 0.944).{Figure 5}

The association between urinary potassium and risk of hypertension was reported in 5 studies (n = 11651). There was no association between urinary potassium excretion and risk of hypertension (OR: 0.12; 95% CI: −0.35, 0.10), and between-study heterogeneity was significant (I2 = 64.4%; P = 0.024) [Figure 6].{Figure 6}

Sensitivity analysis and publication bias

Overall correlation coefficients for both SBP and DBP were not changed after removing each study, individually, and the same results were obtained for risk of hypertension. In contrast, pooled mean urinary potassium was significantly changed after omission of the study by Jackson et al.[10]

No publication bias was detected for SBP (Begg's: P = 0.721; Egger's: P = 0.563), DBP (Begg's: P = 0.581; Egger's: P = 0.923), and mean urinary potassium excretion (Begg's: P = 0.142; Egger's: P = 0.225). However, there was significant publication bias in studies that reported risk of hypertension (Begg's: P = 0.042; Egger's: P = 0.06). Trim-and-fill analysis was conducted and no trimming was performed.


The results of this meta-analysis revealed that BP is not significantly correlated with 24 h urinary potassium excretion. However, we found a positive correlation between SBP and urinary potassium excretion in children. The mean urinary potassium excretion was significantly higher in normotensive individuals than hypertensive patients, and the risk of hypertension had no association with potassium excretion. To the authors' knowledge, this is the first systematic review and meta-analysis to have assessed the relationship between 24 h urinary potassium excretion and BP.

Urinary samples are an important tests utilized to assist in the diagnosis, prognosis, and determination of treatment strategy.[45] A 24 h urine specimen is regarded as the gold standard for the measurement of dietary potassium intake in a healthy population,[14] in addition to yielding detailed information regarding the circadian variation in the urinary excretion of potassium.[46]

In the present study, and in contrast to adults, a positive correlation between SBP and potassium excretion was observed in children. Renal ability to excrete potassium is fully developed in early childhood. Therefore, potassium intake is expected to have a comparable relationship with BP in children and adults.[47] Indeed, our results must be interpreted with caution due to two reasons. (1) There was a limited number of studies in this field;[33],[38],[48],[49] (2) Most included studies reported unadjusted correlation coefficients, and we did not include regression coefficients adjusted for confounders in our analysis. Therefore, it is conceivable that the observed correlation between potassium excretion and SBP in children was confounded by covariates; nevertheless, further studies into the specific relationship in children should be conducted.

Pooled mean urinary potassium was 3.46 mmol/24 h higher in normotensive individuals compared with hypertensive subjects. The normal range of urinary potassium concentration is between 25 and 125 mmol/24 h (diet dependent).[50] therefore, the observed difference between normotensive subjects and hypertensive patients is <4% of variation in normal range of urinary potassium. Although our finding is statistically significant, it seems likely that it has no clinical significance.[51],[52]

In contrast to our study, which included observational research, meta-analyses of clinical trials have reported that increased potassium intake (dietary + supplement) can yield a beneficial effect on BP.[47],[53],[54],[55] We detected a small difference in potassium excretion between normotensive participants compared with hypertensive counterparts, however, notwithstanding this difference, it was not sufficient to elicit any change in BP. In contrast, however, potassium intake was markedly increased by nutritional intervention. Empirical data suggests that 12 weeks dietary intervention can result in a mean increase in 24 h urinary potassium excretion of 45 mmol.[56] Therefore, a nutritional intervention is capable of eliciting a significant difference in potassium intake, and consequently, BP.

Although 24 h potassium excretion is considered the gold standard for estimating ingested potassium, it has some limitations: (1) It does not and cannot reflect long-term dietary potassium intake,[57] (2) It cannot cover day-to-day variation in potassium intake. Therefore, a single 24 h urine sample is prone to random measurement error, which can overestimate or underestimate the actual potassium intake. It has been recommended that using multiple 24 h urine samples may provide a more reliable estimate,[14] (3) There are concerns regarding the adequacy of 24 h urine sample collection. Indeed, some evidence highlights that under-collection of 24 h urine sample is prevalent,[58] (4) Intestinal absorption efficacy of dietary potassium is variable among individuals. For instance, on average, 73.7%–80.3% of dietary potassium is absorbed;[59] thus, the concentration of potassium in a 24-h urinary sample may be not equal to ingested potassium. Given the above limitations, it is, therefore, imperative that findings manifest using 24 h urinary potassium excretion should be interpreted with caution.

To the best of our knowledge, this was the first systematic review and meta-analysis to have investigated the association between 24 h urinary potassium excretion and BP, as well as risk of hypertension, and represents a major strength. Indeed, a further strength of our study was the use of a comprehensive subgroup analysis. Furthermore, according to Egger's test and Begg's test, our findings were not affected by publication bias. Moreover, we tried to analyze all the possible reported data including OR, correlation coefficient and mean difference. Despite the aforementioned strengths, there are some limitations that must be considered. A significant heterogeneity was detected in sub-group analysis, suggesting that some results may not be reliable, and require further investigation. Although we included all reported potential sources of heterogeneity, there are still some factors which should be considered in future studies (e.g., of 24 h urinary sodium concentration, the dietary origin of potassium and participants' medication history). The greatest impact of dietary potassium intake on SBP has been reported in individuals with high sodium consumption,[47] highlighting that it is important to measure both sodium and potassium simultaneously.[60] Dietary sources of potassium excreted in urine were not reported in most studies, which could viably have impacted some results. In addition to potassium rich foods, such as fruits and vegetables, there are some potassium-based food additives (e.g., potassium sorbate) found in processed cheese, yogurt, beverage, processed meat, cake, and pastry, which can influence the amount of potassium excreted in the urine.[61] The authors advocate that the use of antihypertensive treatments should be carefully considered in future studies.


In conclusion, the current systematic review and meta-analysis highlighted that 24 h urinary potassium excretion was not correlated with SBP, DBP, and risk of hypertension. However, mean urinary potassium excretion was higher in normotensive individuals compared with hypertensive subjects. In order to better understand the relationship between potassium and BP, it is advisable that future studies consider the impact of different sources of dietary potassium.


Students' Research Committee, School of Nutrition and Food Sciences, Isfahan University of Medical Sciences, Isfahan, Iran, supported present study, with research project number, 16821.

Financial support and sponsorship


Conflicts of interest

There are no conflicts of interest.


1D'Elia L, La Fata E, Galletti F, Scalfi L, Strazzullo P. Coffee consumption and risk of hypertension: A dose-response meta-analysis of prospective studies. Eur J Nutr 2019;58:271-80.
2Mente A, O'Donnell MJ, Rangarajan S, McQueen MJ, Poirier P, Wielgosz A, et al. Association of urinary sodium and potassium excretion with blood pressure. N Engl J Med 2014;371:601-11.
3Khalesi S, Sharma S, Irwin C, Sun J. Dietary patterns, nutrition knowledge and lifestyle: Associations with blood pressure in a sample of Australian adults (the Food BP study). J Hum Hypertens 2016;30:581-90.
4Lee HA, Park H. Diet-related risk factors for incident hypertension during an 11-year follow-up: The korean genome epidemiology study. Nutrients 2018;10:1077.
5Eckel RH, Jakicic JM, Ard JD, De Jesus JM, Miller NH, Hubbard VS, et al. 2013 aha/acc guideline on lifestyle management to reduce cardiovascular risk: A report of the American college of cardiology/American heart association task force on practice guidelines. 2014:63(25 Part B):2960-84.
6Han H, Fang X, Wei X, Liu Y, Jin Z, Chen Q, et al. Dose-response relationship between dietary magnesium intake, serum magnesium concentration and risk of hypertension: A systematic review and meta-analysis of prospective cohort studies. Nutr J 2017;16:26.
7Zhao X, Zhang Y, Zhang X, Kang Y, Tian X, Wang X, et al. Associations of urinary sodium and sodium to potassium ratio with hypertension prevalence and the risk of cardiovascular events in patients with prehypertension. J Clin Hypertens (Greenwich) 2017;19:1231-9.
8Burnier M. Should we eat more potassium to better control blood pressure in hypertension? Nephrol Dial Transplant 2019;34:184-93.
9Carranza-Leon D, Octaria R, Ormseth MJ, Oeser A, Solus JF, Zhang Y, et al. Association between urinary sodium and potassium excretion and blood pressure and inflammation in patients with rheumatoid arthritis. Clin Rheumatol 2018;37:895-900.
10Jackson SL, Cogswell ME, Zhao L, Terry AL, Wang CY, Wright J, et al. Association between urinary sodium and potassium excretion and blood pressure among adults in the United States: National health and nutrition examination survey, 2014. Circulation 2018;137:237-46.
11Joosten Michel M. Urinary potassium excretion and risk of cardiovascular events. Am J Clin Nutrit 2016:103:1204-12.
12Tasevska N, Runswick SA, Bingham SA. Urinary potassium is as reliable as urinary nitrogen for use as a recovery biomarker in dietary studies of free living individuals. J Nutr 2006;136:1334-40.
13Palmer BF, Clegg DJ. Physiology and pathophysiology of potassium homeostasis. Adv Physiol Educ 2016;40:480-90.
14Kieneker LM, Gansevoort RT, Mukamal KJ, de Boer RA, Navis G, Bakker SJ, et al. Urinary potassium excretion and risk of developing hypertension: The prevention of renal and vascular end-stage disease study. Hypertension 2014;64:769-76.
15Palaka E, Grandy S, Darlington O, McEwan P, van Doornewaard A. Associations between serum potassium and adverse clinical outcomes: A systematic literature review. Int J Clin Pract 2020;74:e13421.
16Dyer AR, Martin GJ, Burton WN, Levin M, Stamler J. Blood pressure and diurnal variation in sodium, potassium, and water excretion. J Hum Hypertens 1998;12:363-71.
17Nakagawa H, Morikawa Y, Okayama A, Fujita Y, Yoshida Y, Mikawa K, et al. Trends in blood pressure and urinary sodium and potassium excretion in Japan: Reinvestigation in the 8th year after the Intersalt Study. J Hum Hypertens 1999;13:735-41.
18Takemori K, Mikami S, Nihira S, Sasaki N. Relationship of blood pressure to sodium and potassium excretion in Japanese women. Tohoku J Exp Med 1989;158:269-81.
19Bulpitt CJ, Broughton PM, Markowe HL, Marmot MG, Rose G, Semmence A, et al. The relationship between both sodium and potassium intake and blood pressure in London Civil Servants. A report from the Whitehall Department of Environment Study. J Chronic Dis 1986;39:211-9.
20Chien KL, Hsu HC, Chen PC, Su TC, Chang WT, Chen MF, et al. Urinary sodium and potassium excretion and risk of hypertension in Chinese: Report from a community-based cohort study in Taiwan. J Hypertens 2008;26:1750-6.
21Ge Z, Guo X, Chen X, Tang J, Yan L, Ren J, et al. Association between 24 h urinary sodium and potassium excretion and the metabolic syndrome in Chinese adults: The Shandong and Ministry of Health Action on Salt and Hypertension (SMASH) study. Br J Nutr 2015;113:996-1002.
22Staessen J, Bulpitt C, Fagard R, Joossens JV, Lijnen P, Amery A. Four urinary cations and blood pressure. A population study in two Belgian towns. Am J Epidemiol 1983;117:676-87.
23Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, et al. Meta-analysis of observational studies in epidemiology: A proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000;283:2008-12.
24Wells G. The Newcastle-Ottawa Scale (nos) for Assessing the Quality of Non Randomised Studies in Meta-Analyses; 2001. Available from: [Last accessed on 2017 Dec].
25Modesti PA, Reboldi G, Cappuccio FP, Agyemang C, Remuzzi G, Rapi S, et al. Panethnic differences in blood pressure in Europe: A systematic review and meta-analysis. PLoS One 2016;11:e0147601.
26Cohen J. Statistical Power Analysis for the Behavioral Sciences. Erlbaum: Hillsdale; 1988.
27Higgins JP, Thompson SG, Spiegelhalter DJ. A re-evaluation of random-effects meta-analysis. J Royal Statist Soc 2009:172:137-59.
28Hoosen S, Seedat YK, Bhigjee AI, Neerahoo RM. A study of urinary sodium and potassium excretion rates among urban and rural Zulus and Indians. J Hypertens 1985;3:351-8.
29Jan RA, Shah S, Saleem SM, Waheed A, Mufti S, Lone MA, et al. Sodium and potassium excretion in normotensive and hypertensive population in Kashmir. J Assoc Physicians India 2006;54:22-6.
30Intersalt: An International Study of Electrolyte Excretion and Blood Pressure. Results for 24 hour urinary sodium and potassium excretion. J ICRGJBBM 1988;297:319-28.
31Klag MJ, He J, Coresh J, Whelton PK, Chen JY, Mo JP, et al. The contribution of urinary cations to the blood pressure differences associated with migration. Am J Epidemiol 1995;142:295-303.
32Liu LS, Fang WQ, Xie JX. Urinary cations and blood pressure in the Chinese population. J Cardiovasc Pharmacol 1990;16 Suppl 8:S65-8.
33Maldonado-Martín A, García-Matarín L, Gil-Extremera B, Avivar-Oyonarte C, García-Granados ME, Gil-García F, et al. Blood pressure and urinary excretion of electrolytes in Spanish schoolchildren. J Hum Hypertens 2002;16:473-8.
34Tayo BO, Luke A, McKenzie CA, Kramer H, Cao G, Durazo-Arvizu R, et al. Patterns of sodium and potassium excretion and blood pressure in the African Diaspora. J Hum Hypertens 2012;26:315-24.
35Tian HG, Nan Y, Shao RC, Dong QN, Hu G, Pietinen P, et al. Associations between blood pressure and dietary intake and urinary excretion of electrolytes in a Chinese population. J Hypertens 1995;13:49-56.
36Yamasue K, Hayashi T, Ohshige K, Tochikubo O, Souma T. Are overnight urinary indicators associated with morning blood pressure in the elderly? Clin Exp Hypertens 2008;30:13-21.
37Yan L, Bi Z, Tang J, Wang L, Yang Q, Guo X, et al. Relationships between blood pressure and 24-h urinary excretion of sodium and potassium by body mass index status in Chinese adults. J Clin Hypertens 2015:17:916-25.
38Zhu KM, He SP, Pan XQ, Zheng XR, Gu YA. The relation of urinary cations to blood pressure in boys aged seven to eight years. Am J Epidemiol 1987;126:658-63.
39Deng T, Mai Z, Duan X, Zhao Z, Zhu W, Cai C, et al. Association between hypertension and 24-h urine composition in adults without urolithiasis in China. World J Urol 2020:1-7.
40Lemogoum D, Ngatchou W, Bika Lele C, Okalla C, Leeman M, Degaute JP, et al. Association of urinary sodium excretion with blood pressure and risk factors associated with hypertension among Cameroonian pygmies and bantus: A cross-sectional study. BMC Cardiovasc Disord 2018;18:49.
41Modesti PA, Marzotti I, Rapi S, Rogolino A, Cappuccio FP, Zhao D, et al. Daily urinary sodium and potassium excretion in Chinese first-generation migrants in Italy. Int J Cardiol 2019;286:175-80.
42Moliterno P, Álvarez-Vaz R, Pécora M, Luzardo L, Borgarello L, Olascoaga A, et al. Blood pressure in relation to 24-h urinary sodium and potassium excretion in a uruguayan population sample. Int J Hypertens 2018;2018:6956078.
43Group IC. Intersalt: An international study of electrolyte excretion and blood pressure. Results for 24 h urinary sodium and potassium excretion. BMJ 1988;297:319-28.
44Yan L, Bi Z, Tang J, Wang L, Yang Q, Guo X, et al. Relationships between blood pressure and 24-h urinary excretion of sodium and potassium by body mass index status in Chinese adults. J Clin Hypertension 2015:17:916-25.
45Eknoyan G, Hostetter T, Bakris GL, Hebert L, Levey AS, Parving HH, et al. Proteinuria and other markers of chronic kidney disease: A position statement of the national kidney foundation (NKF) and the national institute of diabetes and digestive and kidney diseases (NIDDK). Am J Kidney Dis 2003;42:617-22.
46Buemi M, Campo S, Sturiale A, Aloisi C, Romeo A, Nostro L, et al. Circadian rhythm of hydration in healthy subjects and uremic patients studied by bioelectrical impedance analysis. Nephron Physiol 2007;106:39-44.
47Aburto NJ, Hanson S, Gutierrez H, Hooper L, Elliott P, Cappuccio FP. Effect of increased potassium intake on cardiovascular risk factors and disease: Systematic review and meta-analyses. BMJ 2013;346:f1378.
48Uchiyama M. Risk factors for the development of essential hypertension: Long-term follow-up study in junior high school students in Niigata, Japan. J Hum Hypertens 1994;8:323-5.
49Watson RL, Langford HG, Abernethy J, Barnes TY, Watson MJ. Urinary electrolytes, body weight, and blood pressure. Pooled cross-sectional results among four groups of adolescent females. Hypertension 1980;2:93-8.
50Mente A, Irvine EJ, Honey RJ, Logan AG. Urinary potassium is a clinically useful test to detect a poor quality diet. J Nutr 2009;139:743-9.
51Sainani KL. Clinical versus statistical significance. PM&R 2012:4:442-5.
52Palmer BFJCJotASoN. Regulation of potassium homeostasis. Clin J Am Soc Nephrol 2015:10:1050-60.
53Binia A, Jaeger J, Hu Y, Singh A, Zimmermann D. Daily potassium intake and sodium-to-potassium ratio in the reduction of blood pressure: A meta-analysis of randomized controlled trials. J Hypertens 2015;33:1509-20.
54Cappuccio FP, MacGregor GA. Does potassium supplementation lower blood pressure? A meta-analysis of published trials. In: Does Potassium Supplementation Lower Blood Pressure? J hypertens A Meta-Analysis of Published Trials; 1991.
55Whelton PK, He J, Cutler JA, Brancati FL, Appel LJ, Follmann D, et al. Effects of oral potassium on blood pressure. Meta-analysis of randomized controlled clinical trials. JAMA 1998:42:100.
56He FJ, Marciniak M, Carney C, Markandu ND, Anand V, Fraser WD, et al. Effects of potassium chloride and potassium bicarbonate on endothelial function, cardiovascular risk factors, and bone turnover in mild hypertensives. Hypertension 2010;55:681-8.
57Cobb LK, Anderson CA, Elliott P, Hu FB, Liu K, Neaton JD, et al. Methodological issues in cohort studies that relate sodium intake to cardiovascular disease outcomes: A science advisory from the American Heart Association. Circulation 2014;129:1173-86.
58Nabavizadeh P, Ghadermarzi S, Fakhri M. A new method to make 24-h urine collection more convenient: A validity study. Int J Nephrol 2014;2014:718147.
59Holbrook JT, Patterson KY, Bodner JE, Douglas LW, Veillon C, Kelsay JL, et al. Sodium and potassium intake and balance in adults consuming self-selected diets. Am J Clin Nutr 1984;40:786-93.
60Adrogué HJ, Madias NE. Sodium and potassium in the pathogenesis of hypertension. N Engl J Med 2007;356:1966-78.
61Esfandiari Z, Badiey M, Mahmoodian P, Sarhangpour R, Yazdani E, Mirlohi M. Simultaneous determination of sodium benzoate, potassium sorbate and natamycin content in Iranian yoghurt drink (doogh) and the associated risk of their intake through doogh consumption. Iran J Public Health 2013;42:915-20.