A prospective study of the relationships between change in body composition and cardiovascular risk factors across the menopause

Visceral adiposity index, premature mortality, and life expectancy in US adults

IMPORTANCE

Visceral adiposity index (VAI) vividly reflects body fat distribution through comprehensively integrating body mass index, sex, waist circumference, triglycerides, and high-density lipoprotein cholesterol. While VAI is an established predictor of various clinical outcomes, its relationship with premature mortality and life expectancy remains unclear.

OBJECTIVE

To explore the association between VAI and premature mortality or life expectancy in a nationally representative cohort of US adults.

METHODS

This study included adults who participated in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, linked to the National Death Index through December 31, 2019. Data were analyzed from August to October, 2024. VAI was categorized into quartiles from the lowest Q1 to the highest Q4. Primary endpoints were premature mortality (death before 80 years of age) and life expectancy.

RESULTS

A total of 43,672 participants (women: 22,164; men: 21,508) aged > 20 years were included. Over a median follow-up of 9.2 years (IQR: 4.9-13.8), 3,187 premature deaths were documented. Higher VAI quartiles were significantly associated with increased multi-adjusted premature mortality risk compared to Q1 (Q3 vs. Q1: hazard ratio [HR], 95% confidence interval [CI]: 1.30, 1.05 to 1.61; Q4 vs. Q1: 1.68, 1.34 to 2.11). This association was particularly pronounced in women (Q3 vs. Q1: 1.53, 1.01 to 2.30; Q4 vs. Q1: 2.36, 1.52 to 3.68), with significant linear trends (P < 0.001). Estimated life expectancy at age 40 years was 41.45 (95% CI: 41.24 to 41.66), 41.32 (41.11 to 41.53), 40.55 (40.35 to 40.75), and 39.26 (39.08 to 39.45) years in Q1, Q2, Q3, and Q4 of VAI, respectively. By sex, estimated life expectancy at age 40 in Q4 was reduced by 3.33 years in women and 1.24 years in men, compared to Q1. By race and ethnicity, it was shortened by 3.90 years in Black participants and 1.68 years in White participants in Q4 group, compared to Q1.

CONCLUSIONS

In this nationwide cohort study, higher VAI was significantly associated with an increased risk of premature mortality and reduced life expectancy at age 40 among US adults. These associations we heterogeneous by sex, race and ethnicity, more pronounced in women and Black participants.

DXA Android-to-Gynoid Ratio and Cardiovascular Risk Assessment in Age and BMI Propensity-Matched Early Postmenopausal Women

Background and Objectives: The literature suggests that physiological menopause (MP) seems linked with increased adiposity with a preference for intra-abdominal fat accumulation, greater than what can be attributed only by aging, which could magnify this period's increased cardiovascular risk. Materials and Methods: We retrospectively analyzed two age and body mass index (BMI) propensity-matched subgroups each formed of 90 clinically healthy, 40-60-year-old postmenopausal women, within the first 5 and 5-10 years of MP. The 10-year ASCVD risk was assessed using medical history, anthropometric data, and lipid profile blood tests. The android-to-gynoid (A/G) ratio was computed using Lunar osteodensitometry lumbar spine and hip scans. Results: The A/G ratio was significantly higher for the subgroup evaluated in years 5-10 of MP than in the first 5 years of MP, even after controlling for BMI (1.05 vs. 0.99, p = 0.005). While displaying a significant negative correlation with HDL cholesterol (r = 0.406), the A/G ratio also had positive correlations with systolic blood pressure (BP) values (r = 0.273), triglycerides (r = 0.367), and 10-year ASCVD risk (r = 0.277). After adjusting for smoking, hypertension treatment, and type 2 diabetes, the 10-year ASCVD risk became significantly different for women in the first 5 years (3.28%) compared to those in years 5-10 of MP (3.74%), p = 0.047. Conclusions: In women with similar age and BMI, the A/G ratio appears to vary based on the number of years since menopause onset and correlates with either independent cardiovascular risk parameters like BP, triglycerides, and HDL cholesterol or with composite scores, such as 10-year ASCVD risk.

One-year trajectories of nutritional status in perimenopausal women: a community-based multi-centered prospective study

BACKGROUND

Nutritional status is a modifiable factor associated with perimenopausal women's health and quality of life. Assessing body composition indicators helps to comprehensively understand nutritional status compared with using body mass index (BMI) only. However, few published studies measured the trends in body composition among perimenopausal women.

OBJECTIVES

To assess the one-year trajectory of the nutritional status of perimenopausal women and to explore its influential factors.

METHODS

A community-based observational study with 3-wave repeated measurements at 6-month intervals was carried out. The nutritional status indicators include weight, body mass index (BMI), and body composition variables. Bioelectrical impedance analysis was used to assess body composition. Repeated measures ANOVA and Chi-square test were used to calculate the changes in nutritional status and generalized estimating equations were performed to explore their influential factors.

RESULTS

2760 participants completed the study. Increasing trajectories in weight (from 56.05 ± 7.55 to 57.02 ± 7.60), fat mass (from 17.99 ± 4.80 to 20.49 ± 4.90), and waist-hip ratio (from 0.86 ± 0.04 to 0.91 ± 0.15) were found (P < 0.001). Decreasing trajectories in skeletal muscle (from 20.30 ± 2.38 to 19.19 ± 2.46), protein level (from 7.39 ± 0.79 to 7.06 ± 0.81), and total body water (from 27.87 ± 2.92 to 27.00 ± 3.01) were found (P < 0.001). Being married/unmarried with a partner and without negative life events were associated with higher total body water, skeletal muscle, and protein level, while negatively associated with fat mass and waist-hip ratio. Age was positively associated with fat mass (P < 0.001). Participants with junior high school education were prone to increased fat mass (P = 0.018) compared with those holding primary school education and below. A per capita monthly income of 1500 to 3000 Yuan was associated with higher total body water, skeletal muscle, and protein level (P < 0.001) compared with a per capita monthly income of less than 1500 Yuan.

CONCLUSION

Worsening nutritional status exists in perimenopausal women, which is characterized by increased weight, fat mass, and waist-hip ratio, and decreased skeletal muscle, total body water, and protein level. For greater efficiency, precision nutritional interventions are needed, and recipients should be classified into different risk levels based on their sociodemographic background.

Body composition analysis: A snapshot across the perimenopause

During the perimenopause, estrogen concentrations gradually decrease, and this is associated with changes to women's energy expenditure and intake. These changes result in weight gain and altered body fat distribution, with increased abdominal fat deposition and cardiometabolic risk via insulin resistance. Body composition analysis is a useful clinical tool in outpatient settings, as it is simple, not expensive and provides information on body mass index, skeletal mass, fat mass, fat percentage and basal metabolic rate. This review discusses body composition analysis as part of a health assessment for healthy women during the perimenopause and investigates the associations between body composition and cardiometabolic profile.

Cardiometabolic health across menopausal years is linked to white matter hyperintensities up to a decade later

Introduction

The menopause transition is associated with several cardiometabolic risk factors. Poor cardiometabolic health is further linked to microvascular brain lesions, which can be detected as white matter hyperintensities (WMHs) using T2-FLAIR magnetic resonance imaging (MRI) scans. Females show higher risk for WMHs post-menopause, but it remains unclear whether changes in cardiometabolic risk factors underlie menopause-related increase in brain pathology.

Methods

In this study, we assessed whether cross-sectional measures of cardiometabolic health, including body mass index (BMI) and waist-to-hip ratio (WHR), blood lipids, blood pressure, and long-term blood glucose (HbA1c), as well as longitudinal changes in BMI and WHR, differed according to menopausal status at baseline in 9,882 UK Biobank females (age range 40-70 years, n premenopausal = 3,529, n postmenopausal = 6,353). Furthermore, we examined whether these cardiometabolic factors were associated with WMH outcomes at the follow-up assessment, on average 8.78 years after baseline.

Results

Postmenopausal females showed higher levels of baseline blood lipids (HDL β  = 0.14, p < 0.001, LDL β  = 0.20, p < 0.001, triglycerides β  = 0.12, p < 0.001) and HbA1c (β  = 0.24, p < 0.001) compared to premenopausal women, beyond the effects of age. Over time, BMI increased more in the premenopausal compared to the postmenopausal group (β  = -0.08, p < 0.001), while WHR increased to a similar extent in both groups (β  = -0.03, p = 0.102). The change in WHR was however driven by increased waist circumference only in the premenopausal group. While the group level changes in BMI and WHR were in general small, these findings point to distinct anthropometric changes in pre- and postmenopausal females over time. Higher baseline measures of BMI, WHR, triglycerides, blood pressure, and HbA1c, as well as longitudinal increases in BMI and WHR, were associated with larger WMH volumes (β range = 0.03-0.13, p ≤ 0.002). HDL showed a significant inverse relationship with WMH volume (β  = -0.27, p < 0.001).

Discussion

Our findings emphasise the importance of monitoring cardiometabolic risk factors in females from midlife through the menopause transition and into the postmenopausal phase, to ensure improved cerebrovascular outcomes in later years.

WHAM-A Prospective Study of Weight and Body Composition After Risk-Reducing Bilateral Salpingo-oophorectomy

CONTEXT

Body weight and composition may change over the natural menopause transition. Whether surgical menopause has similar effects, and the impact of hormone replacement therapy (HRT), are unknown. Understanding the metabolic effects of surgical menopause will inform clinical care.

OBJECTIVE

To prospectively measure weight and body composition over 24 months following surgical menopause compared with a similar comparison group who retained their ovaries.

METHODS

Prospective observational study of weight change from baseline to 24 months in 95 premenopausal women at elevated risk of ovarian cancer planning risk-reducing salpingo-oophorectomy (RRSO) and 99 comparators who retained their ovaries. Change in body composition from baseline to 24 months was also assessed by dual-energy x-ray absorptiometry in a subgroup of 54 women who underwent RRSO and 81 comparators who retained their ovaries. In the subgroup, weight, fat mass, lean mass, and abdominal fat measures were compared between groups.

RESULTS

At 24 months both groups had gained weight (RRSO 2760 ± 4860 g vs comparators 1620 ± 4540 g) with no difference between groups (mean difference 730 g; 95% CI 920 g to 2380 g; P = .383). In the body composition subgroup, there was no difference in weight between groups at 24 months (mean difference 944 g; 95% CI -1120 g to 2614 g; P = .431). RRSO women may have gained slightly more abdominal visceral adipose tissue (mean difference 99.0 g; 95% CI 8.8 g to 189.2 g; P = .032) but there were no other differences in body composition. There were also no differences in weight or body composition between HRT users and nonusers at 24 months.

CONCLUSION

24 months after RRSO, there was no difference in body weight compared with women who retained their ovaries. RRSO women gained more abdominal visceral adipose tissue than comparators, but there were no other differences in body composition. Use of HRT following RRSO had no effect on these outcomes.

The levels and trends of metabolic risk factors in the elderly population at the national and sub-national scale in Iran from 1990 to 2016

Purpose

Describing the trends of metabolic risk factors (MRFs) in the elderly population.

Methods

We used modeled data from previous comprehensive systematic reviews for MRFs among adults aged ≥ 60 years. Two stages of age-specific Spatio-temporal modeling and Gaussian process regression were used to estimate the mean of MRFs. We used crosswalk modeling to estimate the prevalence of elevated and raised Total cholesterol (TC), overweight/obesity and obesity, hypertension, and diabetes. Estimates were analyzed based on combinations of sex, age, year, and province from 1990 to 2016.

Results

Comparing prevalence estimates from 2016 with those of 1990, in the elderly population, the age-standardized prevalence of overweight/obesity, obesity, diabetes, and hypertension increased, conversely, the prevalence of hypercholesteremia decreased. The prevalence of hypertension increased about 141.5% and 129.9% in men and women respectively. The age-standardized prevalence of diabetes increased about 109.5% in females, and 116.0% in males. Prevalence of elevated TC at the national level decreased to 67.4% (64.1-70.4) in women and to 51.1% (47.5-54.8) in men. These findings were almost shown across provinces. In general, the northern and western provinces had the highest prevalence of overweight/obesity in women in 2016.

Conclusion

The rising prevalence of most MRFs, as well as the greater prevalence and mean of all MRFs in women, necessitate effective public health policies to reduce the burden of non-communicable diseases and run preventive programs.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-023-01297-z.

Timing Matters: Effects of Early and Late Estrogen Replacement Therapy on Glucose Metabolism and Vascular Reactivity in Ovariectomized Aged Wistar Rats

Cardiovascular disease incidence increases after menopause due to the loss of estrogen cardioprotective effects. However, there are conflicting data regarding the timing of estrogen therapy (ERT) and its effect on vascular dysfunction associated with impaired glucose metabolism. The aim of this work was to evaluate the effect of early and late ERT on blood glucose/insulin balance and vascular reactivity in aged ovariectomized Wistar rats. Eighteen-month-old female Wistar rats were randomized as follows: (1) sham, (2) 10-week postovariectomy (10 w), (3) 10 w postovariectomy+early estradiol therapy (10 w-early E2), (4) 20-week postovariectomy (20 w), and (5) 20-week postovariectomy+late estradiol therapy (20 w-late E2). Early E2 was administered 3 days after ovariectomy and late therapy after 10 weeks, in both groups. 17β-Estradiol (E2) was administered daily for 10 weeks (5 μg/kg/day). Concentration-response curves to angiotensin II, KCl, and acetylcholine (ACh) were performed. Heart rate (HR), diastolic and systolic blood pressure (DBP and SBP), glucose, insulin, HOMA-IR, and nitric oxide (NO) levels were determined. Higher glucose levels were found in all groups compared to the sham group, except the 20 w-late E2 group. Insulin was increased in all ovariectomized groups compared to sham. The HOMA-IR index showed insulin resistance in all ovariectomized groups, except for the 10 w-early E2 group. The 10 w-early E2 group increased NO levels vs. the 10 w group. After 10 w postovariectomy, the vascular response to KCl and Ach increases, despite early E2 administration. Early and late E2 treatment decreased vascular reactivity to Ang II. At 20-week postovariectomy, DBP increased, even with E2 administration, while SBP and HR remained unchanged. The effects of E2 therapy on blood glucose/insulin balance and vascular reactivity depend on the timing of therapy. Early ERT may provide some protective effects on insulin resistance and vascular function, whereas late ERT may not have the same benefits.

Adipose tissue fatty acids as biomarkers for metabolic dysfunction in obese females: Implication of menopause and ageing

Fatty acids (FA) are biomarkers of metabolic dysfunction. Adipose tissue is the largest reservoir of FA and acts differently in obese individuals. Menopause by itself significantly alters metabolism, lipid metabolism dysregulation, and adipose tissue distribution. How adipose tissue FA alters an obese individual's metabolism depending on a female's menopausal status is yet poorly understood. Hence, the subcutaneous (scAT) and visceral adipose tissue (vAT) FA profile for 173 obese premenopausal and postmenopausal women was measured and associated with biochemical parameters. scAT and vAT FA profiles were distinct by themselves and in menopause. In total 816 associations were found with biochemical parameters, where only 58 were independent of the menopausal status. The associations found to emphasize the importance of assessing the adipose tissue FA profile and how their behavior changes with menopause. The FA are crucial in metabolic processes and can be helpful biomarkers in the prevention/treatment and follow-up of female obesity.

Higher intuitive eating is associated with lower adiposity in midlife women

OBJECTIVE

Intuitive eating (IE) is consistently associated with a lower body mass index, though its relationship with adiposity, specifically abdominal adiposity, is unknown. Given that midlife women often experience increases in adiposity during midlife, our objective was to examine the association between IE and adiposity in midlife women. We also aimed to validate the factor structure of the Intuitive Eating Scale (IES) in a sample of midlife women.

METHOD

We analyzed data from a cross-sectional study of 116 women between 40 and 64 years of age. Participants completed in-person visits and self-reported questionnaires, including the 21-item IES. Adiposity was assessed using dual energy x-ray absorptiometry. Measurements included total body fat percentage and android/gynoid (AG) ratio as a measure of abdominal adiposity.

RESULTS

Confirmatory factor analysis of the IES demonstrated a poor fit to the data. Thus, we conducted an exploratory factor analysis which resulted in a 15-item scale with five items on each subscale, and demonstrated improved fit. Higher intuitive eating was associated with lower total body fat percentage (β = -6.77, p < 0.0001) and lower abdominal adiposity (β = -0.09, p = 0.0005). Higher scores on eating for physical reasons and reliance on internal hunger and satiety cues were associated with lower total body fat and lower abdominal adiposity.

CONCLUSIONS

Our findings suggest that higher intuitive eating is associated with lower total body fat percentage and lower abdominal adiposity. These results may have public health implications to promote intuitive eating in midlife women, a population at risk of weight gain and changes to body fat distribution.

Adipocyte Metabolism and Health after the Menopause: The Role of Exercise

Postmenopausal women represent an important target population in need of preventative cardiometabolic approaches. The loss of estrogen following the menopause eliminates protections against metabolic dysfunction, largely due to its role in the health and function of adipose tissue. In addition, some studies associate the menopause with reduced physical activity, which could potentially exacerbate the deleterious cardiometabolic risk profile accompanying the menopause. Meanwhile, exercise has adipocyte-specific effects that may alleviate the adverse impact of estrogen loss through the menopausal transition period and beyond. Exercise thus remains the best therapeutic agent available to mitigate menopause-associated metabolic dysfunction and represents a vital behavioral strategy to prevent and alleviate health decline in this population.

HOTAIR interacts with PRC2 complex regulating the regional preadipocyte transcriptome and human fat distribution

Mechanisms governing regional human adipose tissue (AT) development remain undefined. Here, we show that the long non-coding RNA HOTAIR (HOX transcript antisense RNA) is exclusively expressed in gluteofemoral AT, where it is essential for adipocyte development. We find that HOTAIR interacts with polycomb repressive complex 2 (PRC2) and we identify core HOTAIR-PRC2 target genes involved in adipocyte lineage determination. Repression of target genes coincides with PRC2 promoter occupancy and H3K27 trimethylation. HOTAIR is also involved in modifying the gluteal adipocyte transcriptome through alternative splicing. Gluteal-specific expression of HOTAIR is maintained by defined regions of open chromatin across the HOTAIR promoter. HOTAIR expression levels can be modified by hormonal (estrogen, glucocorticoids) and genetic variation (rs1443512 is a HOTAIR eQTL associated with reduced gynoid fat mass). These data identify HOTAIR as a dynamic regulator of the gluteal adipocyte transcriptome and epigenome with functional importance for human regional AT development.

Does Obesity Aggravate Climacteric Symptoms in Postmenopausal Women?

OBJECTIVE

 To determine if there is a correlation between body mass index (BMI) and climacteric symptoms in postmenopausal women.

METHODS

 The study sample was composed of 109 postmenopausal women with a mean age of 57 ±  8 years, mean body mass index (BMI) of 30 ±  6 kg/m², and 8 ±  8 years after menopause. For the assessment of the climacteric symptoms, the Blatt-Kupperman Index (BKI), the Menopause Rating Scale (MRS), and the Cervantes Scale (CS) were used. Data analysis was performed through the Chi-squared test, analysis of variance (ANOVA) with the Bonferroni post hoc test, and multiple linear regression. The level of significance adopted was of p < 0.05. The statistical analyses were performed using the Statistical Package for the Social Sciences (IBM SPSS Statistics for Windows, IBM Corp., Armonk, NY, United States) software, version 26.0.

RESULTS

 The multiple linear regression showed a positive association (p < 0.01) between BMI values and menopause symptoms when adjusted for age and time after menopause in the 3 questionnaires used (BKI: B = 0.432; CS: B = 304; and MRS: B = 302). Regarding symptom scores, the obese women had higher mean scores (p < 0.05) when compared to eutrophic women (BKI = 28 ±  10 and 20 ±  10; and MRS = 20 ±  10 and 13 ±  7, respectively). In the Chi-squared analysis, 28% of obese women had severe symptoms and 46% had moderate symptoms, while only 1% and 46% of eutrophic women had these same symptoms.

CONCLUSION

 There is an association between BMI and climacteric symptoms, and overweight or obese women have more intense and moderate symptoms than eutrophic women.

Association of adiposity evaluated by anthropometric, BIA, and DXA measures with cardiometabolic risk factors in nonobese postmenopausal women: the CoLaus/OsteoLaus cohort

OBJECTIVE

After menopause, body composition changes with body fat accumulation, and an increase in cardiometabolic risk factors. Total fat mass, regional fat mass, and visceral adipose tissue (VAT) may be estimated with anthropometric measures, bioelectrical impedance analysis (BIA), and dual-energy X-ray absorptiometry (DXA). The aim of our study was to assess which measurement correlated best with cardiometabolic risk factors in healthy nonobese postmenopausal women.

METHODS

The CoLaus/OsteoLaus cohort included 1,500 postmenopausal women (age range 50-80). We analyzed correlations between: 1) measurements of body composition assessed by anthropometric measures, BIA, and DXA and 2) these measurements and different selected cardiometabolic risk factors, such as blood pressure, lipid markers (cholesterol subtypes and triglycerides), and metabolic markers (glucose, insulin, adiponectin, and leptin). Spearman correlation coefficient, stepwise forward regression, and linear regression analyses were used to determine association between anthropometric measurements and cardiometabolic risk factors.

RESULTS

In the 803 included participants (mean age 62.0 ± 7.1 y, mean body mass index 25.6 kg/m2 ± 4.4), correlations between total fat mass measured by BIA and total fat mass, android fat, gynoid fat, or VAT measured by DXA are very strong (from r = 0.531, [99% confidence interval (CI), 0.443-0.610] to r = 0.704, [99% CI, 0.640-0.758]). Body mass index and waist circumference have a higher correlation with VAT (r = 0.815, [99% CI, 0.772-0.851] and r = 0.823 [99% CI, 0.782-0.858], respectively) than BIA (r = 0.672 [99% CI, 0.603-0.731]). Among the anthropometric measurement and the measurements derived from DXA and BIA, VAT is the parameter most strongly associated with cardiometabolic risk factors. VAT better explains the variation of most of the cardiometabolic risk factors than age and treatment. For example, nearly 5% of the variability of the diastolic blood pressure (9.9 vs 4.9), nearly 15% of the variability of high-density lipoprotein cholesterol (20.3 vs 3.8) and triglyceride (21.1 vs 6.5), 25.3% of the variability of insulin (33.3 vs 8.1), and 37.5% of the variability of leptin (37.7 vs 1.1) were explained by VAT.

CONCLUSIONS

BIA seems not to be a good tool to assess VAT. At the population level, waist circumference and body mass index seem to be good tools to estimate VAT. VAT measured by DXA is the parameter most correlated with cardiometabolic risk factors and could become a component of the cardiometabolic marker on its own.