Interactions between nutrient intake and comorbidities for quality of life in premenopausal and postmenopausal women

Nguyen, Hai Duc

doi:10.1097/gme.0000000000002064

Cited by 6 publications

(6 citation statements)

References 52 publications

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“…The potential covariates for this analysis were identified based on the body of existing literature, including educational level (middle school or less, high school, and college or greater), age group (18-29, 30-39, 40-49, 50-59, 60-69, ≥70 years), smoking status (nonsmoker/ex-smoker and current smoker), comorbidities (yes and no), occupation (white-collar, blue-collar, and unemployed), body mass index group (<18.5, ≥18.5 and <25, ≥25 and <30, and ≥30 kg/m 2 ), residential area (urban and rural), drinking status (never or rarely, occasionally, often), physical activity (not regular and regular), and monthly household income (<2,000, ≥2,000 and <4,000, ≥4,000 and <6,000, and ≥6,000 thousand Won) 3,6,10,11,22,25-27 . Women who reported no alteration in their menstrual cycles were identified as premenopausal women, whereas those whose periods ended permanently following 12 months of amenorrhea were classified as postmenopausal women 28-30 …”

Section: Methodsmentioning

confidence: 99%

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Effects of mixed heavy metals on kidney function in premenopausal and postmenopausal women

Nguyen

2023

Menopause

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Objective: To evaluate the relationships between heavy metals (cadmium, lead, and mercury) and their mixtures and estimated glomerular filtration rate (eGFR) in premenopausal and postmenopausal women.Methods: Using data from the Korean National Health and Nutrition Examination Survey (2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017), multivariate linear regression models, marginal effects, and weighted quantile sum regression, we assessed the associations between single heavy metals and their mixtures and eGFR among 5,372 women.Results: Risks of reduced eGFR, comorbidities, and heavy metal exposure were found to be higher in postmenopausal women than in premenopausal women. A negative association of cadmium (β = −2.97; 95% CI, −5.10 to −0.85) and a positive association of mercury (β = 2.97; 95% CI, 1.49 to 4.44), with eGFR in postmenopausal women. Inverse associations of lead with eGFR in both premenopausal women (β = −4.75; 95% CI, −6.04 to −3.46) and postmenopausal women (β = −4.54; 95% CI, −6.96 to −2.13). Interactions were identified between lead and mercury, as well as cadmium and lead for eGFR among premenopausal women (β = −2.04; 95% CI, −2.98 to −1.10) and postmenopausal women (β = −3.52; 95% CI, −6.04 to −1.01), respectively. There was a negative association between mixed heavy metals and eGFR in both premenopausal women (β = −2.23; 95% CI, −3.51 to −0.96) and postmenopausal women (β = −3.86; 95% CI, −6.89 to −0.83). Lead was found as a key chemical related to reduced eGFR. Cutoff values for each heavy metal concentration related to eGFR were provided.Conclusion: Postmenopausal women were more influenced by mixed heavy metals' effects on kidney function than premenopausal women. Early interventions (eg, water filtering, heavy metal yearly screening) in women, especially postmenopausal women, are needed to reduce the incidence of chronic kidney disease.

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Section: Methodsmentioning

confidence: 99%

“…3,6,10,11,22,[25][26][27] Women who reported no alteration in their menstrual cycles were identified as premenopausal women, whereas those whose periods ended permanently following 12 months of amenorrhea were classified as postmenopausal women. [28][29][30]…”

Section: Outcomes and Covariatesmentioning

confidence: 99%

Effects of mixed heavy metals on kidney function in premenopausal and postmenopausal women

Nguyen

2023

Menopause

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“…The nutrition field also requires the involvement of machine learning methods to complement traditional statistical methods to draw more scientific results. Scholars have initiated the application of machine learning techniques to investigate the intricate association between the combined consumption of diverse nutrients and subsequent health outcomes, albeit with limited coverage in existing literature [ 18 , 19 ]. Unfortunately, investigations into the correlation between the combined intake of various minerals and hHcy are lacking in the existing body of research.…”

Section: Introductionmentioning

confidence: 99%

Relationships between minerals’ intake and blood homocysteine levels based on three machine learning methods: a large cross-sectional study

Fan,

Liu,

Wei

et al. 2024

Nutr. Diabetes

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Background Blood homocysteine (Hcy) level has become a sensitive indicator in predicting the development of cardiovascular disease. Studies have shown an association between individual mineral intake and blood Hcy levels. The effect of mixed minerals’ intake on blood Hcy levels is unknown. Methods Data were obtained from the baseline survey data of the Shanghai Suburban Adult Cohort and Biobank(SSACB) in 2016. A total of 38273 participants aged 20–74 years met our inclusion and exclusion criteria. Food frequency questionnaire (FFQ) was used to calculate the intake of 10 minerals (calcium, potassium, magnesium, sodium, iron, zinc, selenium, phosphorus, copper and manganese). Measuring the concentration of Hcy in the morning fasting blood sample. Traditional regression models were used to assess the relationship between individual minerals’ intake and blood Hcy levels. Three machine learning models (WQS, Qg-comp, and BKMR) were used to the relationship between mixed minerals’ intake and blood Hcy levels, distinguishing the individual effects of each mineral and determining their respective weights in the joint effect. Results Traditional regression model showed that higher intake of calcium, phosphorus, potassium, magnesium, iron, zinc, copper, and manganese was associated with lower blood Hcy levels. Both Qg-comp and BKMR results consistently indicate that higher intake of mixed minerals is associated with lower blood Hcy levels. Calcium exhibits the highest weight in the joint effect in the WQS model. In Qg-comp, iron has the highest positive weight, while manganese has the highest negative weight. The BKMR results of the subsample after 10,000 iterations showed that except for sodium, all nine minerals had the high weights in the joint effect on the effect of blood Hcy levels. Conclusion Overall, higher mixed mineral’s intake was associated with lower blood Hcy levels, and each mineral contributed differently to the joint effect. Future studies are available to further explore the mechanisms underlying this association, and the potential impact of mixed minerals’ intake on other health indicators needs to be further investigated. These efforts will help provide additional insights to deepen our understanding of mixed minerals and their potential role in health maintenance.

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“…Bhurosy et al [ 26 ] reported that POST-M women’s diets were of a higher quality than PRE-M women’s diets, despite their higher mean BMI, which may be attributed to physiological changes during menopause. Conversely, Nguyen et al [ 27 ] found that POS-M women had lower nutrient intake levels (fat, protein, sugar, and some minerals) than PRE_M women. Moreover, Bashar et al [ 28 ] used a menopausal-specific QoL questionnaire to conduct a cross-sectional study and reported that POST-M women had a higher risk of depression than PRE-M women.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Ramadan Intermittent Fasting on Food Intake, Anthropometric Indices, and Metabolic Markers among Premenopausal and Postmenopausal Women: A Cross-Sectional Study

et al. 2023

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Background and objectives: Ramadan intermittent fasting (RIF) is a monthlong practice in which Muslims fast during the whole day from sunrise to sunset. During this month, fasting people change their dietary behavior and alter their eating hours from day to night. The objective of the current study was to examine the effect of RIF on dietary consumption, anthropometric indices, and metabolic markers in healthy premenopausal (PRE-M) and postmenopausal (POST-M) Saudi women. Materials and Methods: The study included 62 women (31 PRE-M, 21–42 years, and 31 POST-M, 43–68 years). A structured questionnaire was used to collect socioeconomic data. Physical activity, anthropometric, dietary, and biochemical assessments were assessed before and at the end of the third week of Ramadan. Results: Socioeconomic data varied among participants. For both groups, observing RIF was associated with significantly (at either p ≤ 0.01 or p ≤ 0.05) lower intake of calories, macronutrients, minerals (excluding Na), and vitamins than before RIF. For the PRE-M group, the percentage of overweight participants decreased significantly (p ≤ 0.01) during Ramadan, while the percentage of obese participants remained unchanged. In contrast, for the POST-M group, the percentage of overweight participants increased significantly (p ≤ 0.05) during Ramadan, but dropped at the end of Ramadan. Following RIF, waist-to-hip ratio, body fat, and fat mass (FM) decreased in both groups. High-density lipoprotein cholesterol (HDL-C), fasting blood glucose (FBG), triglycerides (TG), and blood pressure (SBP, DBP) were generally maintained at acceptable normal levels in most participants before and at the end of RIF. However, low-density lipoprotein cholesterol (LDL-C) at the end of RIF was significantly lower than before, particularly in POST-M women. Age, occupation, and monthly income were the most important predictors for the changes in nutritional status and body fat upon RIF. Conclusions: observing RIF by PRE-M and POST-M Saudi women was associated with significant improvements in variable health indicators, with a few exceptions, and may help lower risk factors for chronic diseases, particularly among POST-M women. However, further studies with a larger sample size are required to determine and confirm the exact effect of RIF on these groups.

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Interactions between nutrient intake and comorbidities for quality of life in premenopausal and postmenopausal women

Abstract: Given the lower nutrient intake levels in postmenopausal women, it is critical to establish health-related quality of life-improving approaches for this population.

Cited by 6 publications

References 52 publications

Effects of mixed heavy metals on kidney function in premenopausal and postmenopausal women

Effects of mixed heavy metals on kidney function in premenopausal and postmenopausal women

Relationships between minerals’ intake and blood homocysteine levels based on three machine learning methods: a large cross-sectional study

The Effect of Ramadan Intermittent Fasting on Food Intake, Anthropometric Indices, and Metabolic Markers among Premenopausal and Postmenopausal Women: A Cross-Sectional Study

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