{"id":69524,"date":"2025-12-30T10:16:05","date_gmt":"2025-12-30T10:16:05","guid":{"rendered":"https:\/\/biomedpharmajournal.org\/?p=69524"},"modified":"2026-01-03T17:40:12","modified_gmt":"2026-01-03T17:40:12","slug":"the-impact-of-low-and-high-salt-intake-on-insulin-resistance-in-healthy-individuals","status":"publish","type":"post","link":"https:\/\/biomedpharmajournal.org\/staging\/vol18no4\/the-impact-of-low-and-high-salt-intake-on-insulin-resistance-in-healthy-individuals\/","title":{"rendered":"The Impact of Low and High Salt Intake on Insulin Resistance in Healthy Individuals"},"content":{"rendered":"<p><strong>Introduction<\/strong><\/p>\n<p>Non-communicable diseases (NCDs) are the leading global cause of mortality, with key contributors including cardiovascular diseases (such as hypertension and ischemic heart disease), diabetes, cancers, and chronic respiratory conditions. The prevalence of diabetes is highest in South-East Asia, the Eastern Mediterranean, and high-income countries in the Western Pacific. According to the World Health Organization (WHO), NCDs are responsible for 74% of all global deaths, accounting for 41 million mortality each year.\u00b9 Among these diseases, hypertension and diabetes mellitus are strongly linked to insulin resistance, hyperglycemia, and hyperinsulinemia.\u00b2<sup>,<\/sup>\u00b3 Insulin resistance is characterized by a diminished sensitivity or responsiveness to the metabolic actions of insulin. Impaired glucose tolerance and fasting hyperglycemia are significant risk factors for the eventual development of diabetes and cardiovascular diseases.\u2074<sup>,<\/sup>\u2075 Epidemiological evidence has also identified hyperinsulinemia as an independent risk factor for cardiovascular disease.\u2076 Moreover, individuals with insulin resistance face a heightened risk of premature death due to cardiovascular complications.\u2077<sup>,<\/sup>\u2078<\/p>\n<p>Dietary salt intake is a significant determinant of blood pressure and overall cardiovascular risk.\u2079<sup>,<\/sup>\u00b9\u2070 Research by DiNicolantonio et al\u00b9\u00b9 demonstrated that excessive salt consumption not only elevated blood pressure but also worsened insulin resistance. Similarly, Wu\u00b9\u00b2 reported that normal subjects on a high-salt diet had reduced insulin sensitivity compared to those on a low-salt diet, suggesting a connection between high salt intake, hypertension, and insulin resistance.<\/p>\n<p>However, contrasting evidence exists. Townsend et al\u00b9\u00b3 observed increased glucose uptake in healthy volunteers on a high-salt diet during euglycemic clamp conditions compared to those on a low-salt diet. Additionally, Ogihara et al\u00b9\u2074 reported that high-salt-fed rats exhibited enhanced insulin-induced tyrosine phosphorylation of insulin receptor substrates (IRS-1, IRS-2 in muscle and liver, and IRS-3 in the liver) despite the presence of insulin resistance. Similarly, Mitiko et al\u00b9\u2075 found that high salt intake increased GLUT4 gene expression, enhancing insulin pathways. These findings suggest a complex and inconclusive relationship between high salt intake and insulin sensitivity. Some researchers have also proposed that a low-salt diet reduced insulin-stimulated glucose uptake in animal models.\u00b9\u2076<sup>,<\/sup>\u00b9\u2077<\/p>\n<p>High salt intake is widely regarded as a public health concern due to its role in increasing blood pressure, a known risk factor for cardiovascular disease. As a result, salt restriction is often promoted to mitigate cardiovascular risk. However, growing evidence suggests that salt restriction may have unintended adverse effects on certain individuals.<\/p>\n<p>This study aimed to evaluate the impact of both low-salt and high-salt diets on insulin resistance in healthy individuals. The findings were expected to contribute to the ongoing debate on whether dietary salt modifications provide meaningful benefits for managing insulin resistance and related metabolic disorders.<\/p>\n<p><strong>Materials and Methods<\/strong><\/p>\n<p>This study was a quasi-experimental design involving fifty healthy male medical students aged 18\u201330 years. Eligible participants had a BMI \u226518.5 kg\/m\u00b2 (no upper BMI limit was applied, as all volunteers fell within the normal to slightly overweight range), systolic blood pressure &lt;140 mmHg and diastolic blood pressure &lt;90 mmHg (JNC 8, 2013), serum creatinine &lt;1.2 mg\/dL, and fasting plasma glucose &lt;126 mg\/dL. Individuals with acute illnesses (such as influenza or diarrhea), a history of diabetes mellitus, cardiovascular diseases (including valvular heart disease and arrhythmias), hypertension, or heavy smoking were excluded. Only males were included to minimize hormonal variability associated with the menstrual cycle, which can influence sodium balance, insulin sensitivity, and metabolic measurements, thereby ensuring greater internal consistency in the study outcomes.<strong>\u00a0<\/strong><\/p>\n<p><strong>Study design<\/strong><\/p>\n<p>After a 10-hour fast, individuals are given a low-salt diet (&lt; 50mmol\/day sodium). On day 5 of the intervention, dietary salt consumption was measured by collecting spot urine samples. On day 8 of the intervention, venous blood samples and fasting plasma glucose levels were taken, while serum samples were stored for insulin testing. The same method was used to intervene with a high sodium diet (&gt; 165 mmol\/day) as mentioned in Figure 1.<\/p>\n<table style=\"width: 70%; border-collapse: collapse;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td style=\"width: 27.43%;\"><img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-69526\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig1-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig1-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig1-250x250.jpg 250w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig1-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig1.jpg 723w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td style=\"width: 72.57%;\"><strong>Figure 1: The workflow of study design.<\/strong><strong style=\"font-size: revert;\">\u00a0<\/strong><\/p>\n<p><a href=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig1.jpg\" target=\"_blank\" rel=\"noopener\">Click here to view Figure<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Measurement of Plasma Glucose<\/strong><strong>\u00a0<\/strong><\/p>\n<p>An enzymatic colorimetric test is used to measure plasma glucose level by using (Glucose oxidase, phenol, 4-aminophenazone) method. A total of 10 \u00b5L of standard or sample was drawn using a specially designed 10 \u00b5L micropipette. The absorbance of the standard and sample was measured against the reagent blank within 60 minutes (\u0394A) at 500 nm wavelength.<strong>\u00a0<\/strong><\/p>\n<p><strong>Measurement of serum insulin level<\/strong><\/p>\n<p>Serum insulin levels were measured using an enzyme-linked immunosorbent assay (ELISA) kit. Serum and urinary creatinine were determined using an auto-creatinine Liquicolor method based on the Jaffe reaction and quantified by a photometric colorimetric test.<\/p>\n<p>Results were presented as mean \u00b1 SD. Student\u2019s paired <em>t<\/em>-test was used to compare data between the low-salt and high-salt intervention periods. Skewed variables were expressed as median and interquartile range and analyzed using the non-parametric Wilcoxon signed-rank test. A p-value of &lt;0.05 was considered statistically significant.<strong>\u00a0<\/strong><\/p>\n<p><strong>Results<\/strong><\/p>\n<p><strong>Fasting plasma glucose levels of normal healthy subjects after low salt and high salt interventions<\/strong><\/p>\n<p>As shown in Figure 2, fasting plasma glucose levels in the current study were 5.32 \u00b1 0.50 mmol\/l for low salt intake and 5.2 \u00b1 0.42 mmol\/l for high salt intake. It was discovered that there was no significant difference in fasting plasma glucose levels between low-salt\u00a0and high-salt\u00a0interventions (p&gt;0.05).<\/p>\n<table style=\"width: 70%; border-collapse: collapse;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td style=\"width: 27.43%;\"><img decoding=\"async\" class=\"alignnone wp-image-69527 size-thumbnail\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig2-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig2-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig2-250x250.jpg 250w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig2-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig2.jpg 680w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td style=\"width: 72.57%;\"><strong>Figure 2: Comparison of fasting plasma glucose levels of normal healthy subjects after low salt and high salt interventions.<\/strong><\/p>\n<p><a href=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig2.jpg\" target=\"_blank\" rel=\"noopener\">Click here to view Figure<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Fasting serum insulin levels of normal healthy subjects after high salt and low salt interventions<\/strong><\/p>\n<p>In the present study, fasting serum insulin levels in low salt and high salt intakes were 17.32 \u00b1 8.78 \u03bcIU\/ml and 12.68 \u00b1 5.69 \u03bcIU\/ml, respectively, as depicted in Figure 3.\u00a0 It was found that fasting serum insulin levels were significantly higher in low salt intake than in high salt intake (p&lt; 0.001).<strong>\u00a0<\/strong><\/p>\n<table style=\"width: 70%; border-collapse: collapse;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td style=\"width: 27.43%;\"><img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-69528\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig3-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig3-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig3-250x250.jpg 250w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig3-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig3.jpg 692w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td style=\"width: 72.57%;\"><strong>Figure 3: Comparison of fasting serum insulin levels of normal healthy subjects after low salt and high salt interventions<\/strong><\/p>\n<p><a href=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig3.jpg\" target=\"_blank\" rel=\"noopener\">Click here to view Figure<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Homeostasis Model Assessment for Insulin Resistance (HOMA-IR) of normal healthy subjects after low salt and high salt intervention<\/strong><strong>\u00a0<\/strong><\/p>\n<p>As shown in Figure 4, medium and interquartile range of insulin resistance (HOMA-IR) of normal healthy subjects after low salt and high salt intervention were 3.8 (2.4-5.6) and 2.7 (1.8-3.6), respectively. After statistical analysis of data from the present study, HOMA-IR of normal healthy subjects was significantly higher in low salt intake than in high salt intake (p&lt;0.001).<\/p>\n<table style=\"width: 70%; border-collapse: collapse;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td style=\"width: 27.43%;\"><img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-69529\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig4-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig4-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig4-250x250.jpg 250w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig4-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig4.jpg 704w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td style=\"width: 72.57%;\"><strong>Figure 4: Comparison of HOMA-IR of normal healthy subjects after low salt and high salt interventions<\/strong><\/p>\n<p><a href=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig4.jpg\" target=\"_blank\" rel=\"noopener\">Click here to view Figure<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Quantitative Insulin Sensitivity Check Index (QUICKI) of normal healthy subjects after low salt and high salt interventions<\/strong><\/p>\n<p>QUICKI of normal healthy subjects after low salt and high salt interventions were 0.32 \u00b1 0.03 and 0.33 \u00b1 0.02, respectively, as seen in Figure 5. After statistical analysis of data from the present study, QUICKI of normal healthy subjects was significantly lower in low salt intake than in high salt intake (p &lt;0.001).<\/p>\n<table style=\"width: 70%; border-collapse: collapse;\" border=\"1\" cellpadding=\"5\">\n<tbody>\n<tr>\n<td style=\"width: 27.43%;\"><img decoding=\"async\" class=\"alignnone size-thumbnail wp-image-69530\" src=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig5-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" srcset=\"https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig5-150x150.jpg 150w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig5-250x250.jpg 250w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig5-256x256.jpg 256w, https:\/\/biomedpharmajournal.org\/staging\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig5.jpg 665w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/td>\n<td style=\"width: 72.57%;\"><strong>Figure 5: Comparison of QUICKI of normal healthy subjects after low salt and high salt interventions.<\/strong><\/p>\n<p><a href=\"https:\/\/biomedpharmajournal.org\/wp-content\/uploads\/2025\/12\/Vol18_No_4_The_Nye_Fig5.jpg\" target=\"_blank\" rel=\"noopener\">Click here to view Figure<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Discussion<\/strong><\/p>\n<p>The present study investigated the impact of low and high salt intake on insulin resistance in healthy individuals, aiming to clarify whether sodium restriction or excess has metabolic consequences beyond blood pressure regulation. Our findings demonstrated that fasting plasma glucose levels were not significantly altered between the two dietary interventions; however, fasting serum insulin levels were markedly higher under the low-salt condition compared to the high-salt condition. This translated into significantly elevated HOMA-IR and reduced QUICKI scores during the low-salt phase, indicating greater insulin resistance.<\/p>\n<p>These findings are consistent with several previous studies. Garg et al\u00b9\u2078 reported that insulin resistance, assessed by HOMA-IR, was significantly higher in healthy subjects consuming a low-salt diet compared with those on a high-salt diet. Similar results were described by Townsend et al\u00b9\u00b3, who employed the hyperinsulinemic-euglycemic clamp and demonstrated improved glucose disposal rates under high-salt conditions. A systematic review by DiNicolantonio et al\u00b9\u00b9 further consolidated evidence showing that sodium restriction often leads to elevations in fasting insulin and overall worsening of insulin resistance.<\/p>\n<p>However, not all studies have yielded uniform results. Patel et al\u00b9\u2079 found no significant differences in fasting insulin concentrations in their meta-analysis of nonrandomized trials investigating sodium restriction, while some smaller studies have suggested neutral or even favorable effects of low-salt diets on glucose metabolism in specific subgroups.\u00b2,\u2074 These discrepancies may be explained by differences in baseline sodium intake, intervention duration, or participant characteristics.<\/p>\n<p>Mechanistically, one well-documented pathway involves activation of the renin\u2013angiotensin\u2013aldosterone system (RAAS) during low-salt intake, which can impair insulin signaling.\u00b9\u2074 Sympathetic nervous system activation during sodium restriction may also reduce tissue perfusion and glucose uptake.\u00b9\u2078 In contrast, high-salt intake suppresses RAAS activation, potentially improving insulin sensitivity. However, chronic high-salt consumption may still induce metabolic disturbances via the aldose reductase\u2013fructokinase pathway.\u00b2\u2070<\/p>\n<p><strong>Limitations of the study<\/strong><\/p>\n<p>Below is the same section with changes clearly marked.<\/p>\n<p>Our study has several strengths, including the use of both fasting insulin and surrogate indices of insulin resistance (HOMA-IR and QUICKI), which provided consistent evidence of impaired insulin sensitivity under low-salt conditions. The crossover design minimized inter-individual variability, and compliance with dietary manipulation was objectively verified through urinary sodium measurements. Nonetheless, several limitations should be acknowledged. The intervention period was short, only eight days, and it remains uncertain whether the observed metabolic changes would persist, diminish, or adapt with longer exposure. The sample size was modest, and we did not measure mechanistic biomarkers such as plasma renin activity, aldosterone, or catecholamines, which could have clarified the contribution of RAAS or sympathetic activation. Moreover, participants were healthy, normotensive adults, limiting generalizability to older individuals or those with obesity, insulin resistance, or hypertension. Future studies should include larger, more diverse populations and employ gold-standard assessments of insulin sensitivity, such as the hyperinsulinemic-euglycemic clamp.<\/p>\n<p>Most notably, each dietary phase lasted only one week, meaning the findings reflect short-term metabolic responses and cannot be extrapolated to long-term effects or used to infer causal dietary recommendations. It also remains unclear whether the increase in insulin resistance seen during low-salt intake represents a transient adaptive response or a sustained physiological effect. Longer interventions, ideally spanning several weeks or months, are needed to determine how metabolic, hormonal, and renal adaptations evolve over time.<strong>\u00a0<\/strong><\/p>\n<p><strong>Conclusion<\/strong><\/p>\n<p>In conclusion, our study provides evidence that low-salt intake impairs insulin sensitivity in healthy individuals, as reflected by higher fasting insulin levels, elevated HOMA-IR, and reduced QUICKI compared to high-salt intake, despite no significant differences in fasting glucose. These findings add to growing evidence that sodium restriction, while effective for lowering blood pressure, may adversely affect glucose metabolism in some populations. The results underscore the importance of personalized dietary recommendations and highlight the need for longer-term, mechanistic studies to fully delineate the metabolic consequences of sodium intake. Striking an optimal balance in sodium consumption may therefore be crucial for promoting both cardiovascular and metabolic health.<strong>\u00a0<\/strong><\/p>\n<p><strong>Acknowledgement<\/strong><strong>\u00a0<\/strong><\/p>\n<p>We sincerely acknowledge the valuable guidance and support of our supervisors. Our heartfelt appreciation goes to all the participants. We confirm that this work was carried out solely by the authors listed in this article, and all responsibilities regarding claims related to its content rest with the authors.<\/p>\n<p><strong>Funding Sources<\/strong><\/p>\n<p>The author(s) received no financial support for the research, authorship, and\/or publication of this article.<strong>\u00a0<\/strong><\/p>\n<p><strong>Conflict of Interest<\/strong><\/p>\n<p>The author(s) do not have any conflict of interest.<\/p>\n<p><strong>Data Availability Statement<\/strong><\/p>\n<p>This statement does not apply to this article.<strong><br \/>\n<\/strong><\/p>\n<p><strong>Ethics Statement<\/strong><\/p>\n<p>Authorizing body for ethical approval by Ethical Committee, University of Medicine 2, Yangon, Myanmar.<\/p>\n<p><strong>Informed Consent Statement<\/strong><\/p>\n<p>This study was conducted in accordance with the ethical standards of the institutional and national research committees. Written informed consent was obtained from all participants prior to inclusion in the study. The privacy and confidentiality of all participants were strictly maintained throughout the research process.<\/p>\n<p><strong>Clinical Trial Registration<\/strong><\/p>\n<p>This research does not involve any clinical trials<\/p>\n<p><strong>Permission to reproduce material from other sources<\/strong><\/p>\n<p>Not Applicable<strong>\u00a0<\/strong><\/p>\n<p><strong>Authors contribution<\/strong><\/p>\n<ul>\n<li><strong>Nyein Nyein Aye:<\/strong> Conceptualization, Methodology, Funding Acquisition, Writing \u2013 Original Draft<\/li>\n<li><strong>Aung Myo Oo:<\/strong> Writing \u2013 Review &amp; Editing<\/li>\n<li><strong>Ohnmar Lwin:<\/strong> Writing \u2013 Review &amp; Editing<\/li>\n<li><strong>Ma Saung Oo:<\/strong> Funding Acquisition<\/li>\n<li><strong>Kay Thi Myint:<\/strong> Visualization, Funding Acquisition<\/li>\n<li><strong>Khin Than Yee:<\/strong> Funding Acquisition<\/li>\n<li><strong>Myint Myint Maw:<\/strong> Funding Acquisition<\/li>\n<li><strong>Minn Han:<\/strong> Funding Acquisition<\/li>\n<li><strong>Thin Thin Aung:<\/strong> Funding Acquisition<\/li>\n<li><strong>Phyu Phyu Khin:<\/strong> Supervision.<\/li>\n<li><strong>Mya Mya Thwin:<\/strong> Conceptualization Writing \u2013 Original Draft, Funding Acquisition, Supervision<strong>\u00a0<\/strong><\/li>\n<\/ul>\n<p><strong>References<\/strong><\/p>\n<ol>\n<li>World Health Organization<strong>.<\/strong> Non-communicable diseases: Global Health Estimates 2022 \u2014 Life Expectancy and Leading Causes of Death and Disability. 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