Magnesium Deficiency Questionnaire: A New Non-Invasive Magnesium Deficiency Screening Tool Developed Using Real-World Data from Four Observational Studies

Orlova, S. V.; Dikke, G. B.; Pickering, Gisèle; Konchits, Sofya; Starostin, Kirill M; Bevz, A. Yu.

doi:10.3390/nu12072062

Cited by 9 publications

(6 citation statements)

References 10 publications

(19 reference statements)

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“…Magnesium (Mg) seems to play a key role in a myriad of disorders, e.g., MetS, T2DM, obesity, hypertension, and its deficiency has been regarded as highly prevalent, with Piuri et al (2021) ranking it as the most common electrolyte imbalance in high-income countries [ 4 , 5 , 6 ]. Taking this information into consideration, we may hypothesize that there is a crosstalk between Mg and serum lipids which may impact on the pathogenesis of dyslipidemia and its associated comorbidities, as well as that Mg supplementation might provide health benefits in patients suffering from cardiometabolic disorders.…”

Section: Introductionmentioning

confidence: 99%

Crosstalk of Magnesium and Serum Lipids in Dyslipidemia and Associated Disorders: A Systematic Review

et al. 2021

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Dyslipidemia is a significant threat to public health worldwide and the identification of its pathogenic mechanisms, as well as novel lipid-lowering agents, are warranted. Magnesium (Mg) is a key element to human health and its deficiency has been linked to the development of lipid abnormalities and related disorders, such as the metabolic syndrome, type 2 diabetes mellitus, or cardiovascular disease. In this review, we explored the associations of Mg (dietary intake, Mg concentrations in the body) and the lipid profile, as well as the impact of Mg supplementation on serum lipids. A systematic search was computed in PubMed/MEDLINE and the Cochrane Library and 3649 potentially relevant papers were detected and screened (n = 3364 following the removal of duplicates). After the removal of irrelevant manuscripts based on the screening of their titles and abstracts (n = 3037), we examined the full-texts of 327 original papers. Finally, after we applied the exclusion and inclusion criteria, a number of 124 original articles were included in this review. Overall, the data analyzed in this review point out an association of Mg concentrations in the body with serum lipids in dyslipidemia and related disorders. However, further research is warranted to clarify whether a higher intake of Mg from the diet or via supplements can influence the lipid profile and exert lipid-lowering actions.

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Section: Introductionmentioning

confidence: 99%

Crosstalk of Magnesium and Serum Lipids in Dyslipidemia and Associated Disorders: A Systematic Review

et al. 2021

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“…CI, confidence interval; OR, odds ratio. a Estimated using logistic regression presented in detail elsewhere [22]. Briefly, after taking magnesium supplements for 4 weeks, 293 of 318 (92.1%) pregnant women with initial level < 0.66 mmol/L achieved magnesium level ≥ 0.66 mmol/L, and 529 of 717 (73.8%) pregnant women with initial level < 0.8 mmol/L achieved magnesium level ≥ 0.8 mmol/L.…”

Section: Magnesium Supplementationmentioning

confidence: 99%

Risk factors and comorbidities associated with magnesium deficiency in pregnant women and women with hormone-related conditions: analysis of a large real-world dataset

Orlova

Dikke²,

Pickering

et al. 2021

BMC Pregnancy Childbirth

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Background An accumulating body of literature indicates that magnesium deficiency is associated with a number of hormone-related conditions (HRC) in women, and epidemiological studies are needed to assess its prevalence and risk factors. Here, we present a secondary analysis of data pooled from four large observational studies that assessed magnesium deficiency among pregnant women and women with HRC across the Russian Federation. Methods The main objective of this analysis was to estimate the prevalence of magnesium deficiency in this population and to describe risk factors and comorbidities associated with low serum magnesium. Univariate logistic regression analysis was performed to identify the risk factors and comorbid conditions associated with an increased risk of low serum magnesium level. Results A total of 983 pregnant women and 9444 women with HRC were eligible for analysis. Prevalence of hypomagnesemia (magnesium serum level cut-off < 0.66 mmol/L/< 0.8 mmol/L) was 34.0%/78.9% in pregnant women and 21.4%/54.8% in women with HRC. The highest prevalence of magnesium deficiency was observed for osteoporosis and climacteric syndrome. Risk factors included diastolic blood pressure, previous pregnancy complications, infections and edema for pregnant women, and age, body mass index, and various comorbidities for women with HRC. Conclusions These results confirm the high prevalence of hypomagnesemia in pregnant women and women with HRC and underline the importance of routine screening, since risk factors are mostly non-specific.

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“…Participants of observational studies MAGIC, MAGIC2, MAGYN and MAGYN2 received magnesium supplements prescribed by treating physicians in accordance to routine clinical practice; a proportion of participants received magnesium-vitamin B6 combination (Magne B 6 /Magne B 6 Forte) [18][19][20][21]. The effectiveness results are presented in detail elsewhere [22]. Brie y, after taking magnesium supplements for four weeks, 293 of 318 (92.1%) pregnant women with initial level <0.66 mmol/L achieved magnesium level ≥0.66 mmol/L, and 529 of 717 (73.8%) pregnant women with initial level <0.8 mmol/L achieved magnesium level ≥0.8 mmol/L.…”

Section: Magnesium Supplementationmentioning

confidence: 99%

Risk factors and comorbidities associated with magnesium deficiency in pregnant women and women with hormone-related conditions: Analysis of a large real-world dataset

Orlova¹,

Dikke

Pickering

et al. 2020

Preprint

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BackgroundAn accumulating body of literature indicates that magnesium deficiency is associated with a number of hormone-related conditions (HRC) in women, and epidemiological studies are needed to assess its prevalence and risk factors. Here, we present a secondary analysis of data pooled from four large observational studies that assessed magnesium deficiency among pregnant women and women with HRC across the Russian Federation.MethodsThe main objective of this analysis was to estimate the prevalence of magnesium deficiency in this population and to describe risk factors and comorbidities associated with low serum magnesium. Univariate logistic regression analysis was performed to identify the risk factors and comorbid conditions associated with an increased risk of low serum magnesium level.ResultsA total of 983 pregnant women and 9444 women with HRC were eligible for analysis. Prevalence of hypomagnesemia (magnesium serum level cut-off <0.66 mmol/L/<0.8 mmol/L) was 34.0%/78.9% in pregnant women and 21.4%/54.8% in women with HRC. The highest prevalence of magnesium deficiency was observed for osteoporosis and climacteric syndrome. Risk factors included diastolic blood pressure, previous pregnancy complications, infections and edema for pregnant women, and age, body mass index, and various comorbidities for women with HRC.ConclusionsThese results confirm the high prevalence of hypomagnesemia in pregnant women and women with HRC and underline the importance of routine screening, since risk factors are mostly non-specific.

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Magnesium Deficiency Questionnaire: A New Non-Invasive Magnesium Deficiency Screening Tool Developed Using Real-World Data from Four Observational Studies

Cited by 9 publications

References 10 publications

Crosstalk of Magnesium and Serum Lipids in Dyslipidemia and Associated Disorders: A Systematic Review

Crosstalk of Magnesium and Serum Lipids in Dyslipidemia and Associated Disorders: A Systematic Review

Risk factors and comorbidities associated with magnesium deficiency in pregnant women and women with hormone-related conditions: analysis of a large real-world dataset

Risk factors and comorbidities associated with magnesium deficiency in pregnant women and women with hormone-related conditions: Analysis of a large real-world dataset

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