The association between menopause, postmenopausal hormone therapy, and kidney stone disease in Taiwanese women

Age-stratified analysis of the BMI-kidney stone relationship: findings from a national cross-sectional study

Background

The association between body mass index (BMI) and kidney stone formation may vary across different age groups and follow nonlinear patterns.

Methods

This study analyzed data from NHANES 2009-2018, including 14,880 participants aged ≥20 years, to evaluate the association between BMI and the risk of kidney stones. BMI was categorized as normal weight (<25.0 kg/m2), overweight (25.0-29.9 kg/m2), and obesity (≥30.0 kg/m2). Weighted logistic regression models were employed to adjust for multiple confounders, including sex, age, race/ethnicity, education level, smoking history, alcohol consumption, coronary heart disease, diabetes mellitus, hypertension, and physical activity. Interaction effects between BMI and key variables such as sex, race/ethnicity and other factors were also analyzed. Age-stratified analyses were performed for the groups aged 20-39 years, 40-59 years, and ≥ 60 years. A restricted cubic spline model was used to explore the non-linear relationship between BMI and the risk of kidney stones.

Results

After adjusting for confounders, participants with a BMI ≥30 kg/m2 had a significantly higher risk of kidney stones compared to those with a BMI <25 kg/m2 (adjusted OR [aOR]: 1.86; 95% CI: 1.48-2.34; p < 0.001), with the association being most pronounced in the 40-59-year age group (aOR: 2.02; 95% CI: 1.36-3.02; p < 0.001). The interaction analysis did not reveal significant interactions between BMI and sex or other factors. Non-linear analysis indicated that the relationship between BMI and kidney stone risk differed across age groups. In the 40-59-year group, the risk of kidney stones peaked and then plateaued as BMI increased beyond a certain threshold. In the ≥60-year age group, risk initially increased with BMI but then slightly declined. This non-linear relationship suggests that the impact of BMI on kidney stone risk varies by age and should be considered in clinical strategies.

Conclusion

High BMI is significantly associated with an increased risk of kidney stones, particularly among middle-aged and older adults. The relationship between BMI and kidney stones is non-linear, highlighting the need to develop age-specific BMI management strategies to reduce the occurrence of kidney stones.

Habitual tea consumption is associated with a lower prevalence of kidney stone disease in postmenopausal women

Background

Menopause is associated with an increased risk of kidney stone disease (KSD). However, for postmenopausal women, how to avoid KSD has rarely been studied. The aim of this study was to explore whether drinking tea is associated with a reduction in the prevalence of KSD in postmenopausal women.

Methods

We collected 11,484 postmenopausal women from the Taiwan Biobank, and used questionnaires to obtain information on tea drinking, KSD, and comorbidities. The participants were divided into two groups according to habitual tea consumption: tea-drinking and non-tea-drinking groups. The association between habitual tea consumption and KSD was examined by logistic regression analysis.

Results

There were 2,035 postmenopausal women in the tea-drinking group and 9,449 postmenopausal women in the non-tea-drinking group. The mean age of all participants was 61 years. Compared to the non-tea-drinking group, the tea-drinking group had a significantly lower prevalence of KSD (7% vs. 5%). The odds ratio (OR) of KSD was lower in those who habitually drank tea than in those who did not (OR = 0.78; 95% confidence interval [CI] [0.63 to 0.96]) after adjusting for confounders. Moreover, postmenopausal women with a daily intake of two cups of tea or more had a 30% reduced risk of KSD compared to those who did not habitually drink tea (OR = 0.71, 95% CI [0.56 to 0.90]).

Conclusions

Our results suggest that habitual tea drinking may be associated with a reduction in the prevalence of KSD in postmenopausal women. Further studies are warranted to investigate the protective effect of tea on the development of KSD.

Postmenopausal status increases the risk of uric acid stones

OBJECTIVE

This study investigated the impact of menopause on stone composition in women with urolithiasis.

STUDY DESIGN

A cross-sectional study was conducted from March 2013 to March 2018. Women with urolithiasis patients were divided into two groups according to their menopause status.

MAIN OUTCOME MEASURES

The clinical demographic characteristics, stone removal, stone composition, and urine chemistry were investigated. Univariate and multivariate survival analyses were performed to identify risk factors for the risk of uric acid stones.

RESULTS

Our study enrolled 1221 female patients with stone diseases, 783 (64.1 %) of whom were postmenopausal (66 patients surgically menopause and 717 patients naturally menopause). Postmenopausal women had higher rates of diabetes and hyperuricemia, a higher serum uric acid level, a higher urinary specific gravity, and a lower estimated glomerular filtration rate. Stone analysis revealed calcium oxalate stones in 66.2 % of the patients, apatite stones in 19.4 %, calcium oxalate and calcium phosphate stones in 7.7 %, uric acid stones in 4.4 %, struvite stones in 2.0 %, and brushite stones in 0.2 %. Postmenopausal women had a higher rate of uric acid stones. Multivariate analysis confirmed that postmenopausal status and hyperuricemia were independent risk factors of uric acid stones. Postmenopausal women required more invasive procedures to remove the stones, and they had lower self-voiding rates.

CONCLUSIONS

Postmenopausal women had higher rates of stone episodes, specifically related to uric acid stones. Given the prevalence and impact of chronic kidney diseases, factors that impede optimal renal function management in women must be identified to provide tailored treatment recommendations.

Coffee consumption was associated with a lower prevalence of airflow limitation in postmenopausal women

BACKGROUND

Several studies have suggested a potential correlation between menopause and airflow limitation. However, the presence of protective factors in postmenopausal women remains uncertain. Therefore, our study seeks to examine potential protective factors associated with a reduced prevalence of airflow limitation among postmenopausal women.

METHODS

Postmenopausal women were recruited from the Taiwan Biobank for this cross-sectional study. Airflow limitation was defined by a forced expiratory volume in the first second (FEV1)/forced vital capacity (FVC) ratio <0.7. The participants were categorized into two groups: non-coffee drinkers and coffee drinkers, and the association between coffee consumption and airflow limitation was examined using binary logistic regression models.

RESULTS

A total of 8149 women with available information were enrolled. Compared to the non-coffee drinkers, the coffee drinkers had a significantly lower prevalence of airflow limitation (7% vs. 5%). The odds ratio (OR) for airflow limitation was lower in the coffee drinkers than in the non-coffee drinkers (OR = 0.77; 95% confidence interval [CI] = 0.63 to 0.94) after adjusting for confounding factors. We also examined the association between daily coffee consumption in cups and airflow limitation. The women who consumed ≥2 cups of coffee per day had an OR of 0.74 (95% CI = 0.59 to 0.94) compared to those who did not consume coffee.

CONCLUSIONS

Our results suggest that habitual coffee consumption is associated with a reduction in the prevalence of airflow limitation in postmenopausal women, warranting further prospective studies to explore possible causal effects and mechanisms.

Association between milk consumption and kidney stones in U.S. adults: results from NHANES 2007-2018

Background

Dietary strategies play a crucial role in the prevention of kidney stones. While milk is known for its rich nutritional content, its impact on kidney stone formation remains unclear. This study aimed to examine the relationship between milk consumption and the risk of kidney stones among U.S. adults.

Methods

We included 24,620 participants aged 20 and older from the National Health and Nutrition Examination Survey (2007-2018). Milk consumption was defined based on each participant's response to the questionnaire item on "Past 30 day milk product consumption." Kidney stones history was self-reported by participants. The analysis employed weighted multivariate logistic regression models, followed by subgroup analyses for result validation, and explored the age-related dynamics of milk consumption's effect on kidney stone risk using a restricted cubic spline model.

Results

Adjusted findings revealed that higher milk intake was associated with a decreased risk of kidney stones (odds ratio [OR] = 0.90, 95% confidence interval [CI] 0.85-0.96), notably among women (OR = 0.86, 95% CI 0.80-0.92) but not significantly in men (OR = 0.94, 95% CI 0.86-1.02). Smoothed curves across all ages showed that women consuming milk had a lower incidence of kidney stones than those who did not, particularly with regular consumption.

Conclusion

This study uncovered that across all age groups, higher frequency of milk consumption in women is associated with a reduced risk of kidney stones. However, further prospective cohort studies are needed to confirm this finding.

The association between body mass index and osteoporosis in a Taiwanese population: a cross-sectional and longitudinal study

This study investigates the correlation between body mass index (BMI) and osteoporosis utilizing data from the Taiwan Biobank. Initially, a comprehensive analysis of 119,009 participants enrolled from 2008 to 2019 was conducted to assess the association between BMI and osteoporosis prevalence. Subsequently, a longitudinal cohort of 24,507 participants, initially free from osteoporosis, underwent regular follow-ups every 2-4 years to analyze the risk of osteoporosis development, which was a subset of the main cohort. Participants were categorized into four BMI groups: underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 24 kg/m2), overweight (24 kg/m2 ≤ BMI < 27 kg/m2), and obese groups (BMI ≥ 27 kg/m2). A T-score ≤ - 2.5 standard deviations below that of a young adult was defined as osteoporosis. Overall, 556 (14.1%), 5332 (9.1%), 2600 (8.1%) and 1620 (6.7%) of the participants in the underweight, normal weight, overweight and obese groups, respectively, had osteoporosis. A higher prevalence of osteoporosis was noted in the underweight group compared with the normal weight group (odds ratio [OR], 2.20; 95% confidence interval [95% CI], 1.99 to 2.43; p value < 0.001) in multivariable binary logistic regression analysis. Furthermore, in the longitudinal cohort during a mean follow-up of 47 months, incident osteoporosis was found in 61 (9%), 881 (7.2%), 401 (5.8%) and 213 (4.6%) participants in the underweight, normal weight, overweight and obese groups, respectively. Multivariable Cox proportional hazards analysis revealed that the risk of incident osteoporosis was higher in the underweight group than in the normal weight group (hazard ratio [HR], 1.63; 95% CI 1.26 to 2.12; p value < 0.001). Our results suggest that BMI is associated with both the prevalence and the incidence of osteoporosis. In addition, underweight is an independent risk factor for developing osteoporosis. These findings highlight the importance of maintaining normal weight for optimal bone health.

Secondhand smoke increases the risk of developing chronic obstructive pulmonary disease

Smoking is the most important risk factor for chronic obstructive pulmonary disease (COPD), however evidence from large-scale studies on whether secondhand smoke (SHS) increases the risk of COPD is still lacking. We conducted this large longitudinal study to investigate the association between SHS and the development of COPD. This is a longitudinal study. Data on 6519 subjects who were never-smokers, had no history of COPD, and had complete lung function records were extracted from the Taiwan Biobank. They were divided into two groups according to SHS exposure: no exposure and exposure groups. Data were collected when participants enrolled in the study and during regular follow-up. Cox proportional hazards regression models were used to estimate the relative risk (RR) and 95% confidence interval (CI) for the association between SHS and the risk of developing COPD. At 48 months of follow-up, 260 (4%) participants in the no exposure group and 34 (7%) participants in the exposure group developed COPD. The RR of incident COPD development was significantly higher in the exposure group than that in the no exposure group after adjusting for confounders (RR = 1.49; 95% CI 1.04 to 2.14; P value = 0.031). There is a dose-response relationship between the duration of exposure to SHS and the risk of incident COPD, which demonstrates that an additional hour of exposure to SHS per week was associated with a 1.03-fold increased likelihood of developing COPD after adjusting for confounders (RR = 1.03; 95% CI 1.00 to 1.05; P value = 0.027). SHS exposure contributes to the development of COPD. This finding can help raise awareness of the harms of SHS and provide a reference for formulating anti-smoking policies.

A Genome-Wide Association Study of Metabolic Syndrome in the Taiwanese Population

The purpose of this study was to investigate genetic factors associated with metabolic syndrome (MetS) by conducting a large-scale genome-wide association study (GWAS) in Taiwan, addressing the limited data on Asian populations compared to Western populations. Using data from the Taiwan Biobank, comprehensive clinical and genetic information from 107,230 Taiwanese individuals was analyzed. Genotyping data from the TWB1.0 and TWB2.0 chips, including over 650,000 single nucleotide polymorphisms (SNPs), were utilized. Genotype imputation using the 1000 Genomes Project was performed, resulting in more than 9 million SNPs. MetS was defined based on a modified version of the Adult Treatment Panel III criteria. Among all participants (mean age: 50 years), 23% met the MetS definition. GWAS analysis identified 549 SNPs significantly associated with MetS, collectively mapping to 10 genomic risk loci. Notable risk loci included rs1004558, rs3812316, rs326, rs4486200, rs2954038, rs10830963, rs662799, rs62033400, rs183130, and rs34342646. Gene-set analysis revealed 22 associated genes: CETP, LPL, APOA5, SIK3, ZPR1, APOC1, BUD13, MLXIPL, TOMM40, GCK, YKT6, RPS6KB1, FTO, VMP1, TUBD1, BCL7B, C19orf80 (ANGPTL8), SIDT2, SENP7, PAFAH1B2, DOCK6, and FOXA2. This study identified genomic risk loci for MetS in a large Taiwanese population through a comprehensive GWAS approach. These associations provide novel insights into the genetic basis of MetS and hold promise for the potential discovery of clinical biomarkers.

Association between Menopause, Postmenopausal Hormone Therapy and Metabolic Syndrome

(1) Background: We aimed to explore the associations between menopause, postmenopausal hormone therapy, and metabolic syndrome in a large community-based group of Asian women. (2) Methods: This is a cross-sectional study in which we enrolled women aged 30 to 70 years with sufficient information about menopausal status from the Taiwan Biobank. The definition for metabolic syndrome used in this study aligns with the Bureau of Health Promotion's (Taiwan) proposed definition. (3) Results: A total of 17,460 women were recruited. The postmenopausal group had a higher metabolic syndrome prevalence (30% vs. 14%) and 1.17 times higher odds ratio (OR) than the premenopausal group (95% confidence interval [CI] = 1.02 to 1.33). Regarding the types of menopause, surgical menopause was associated with metabolic syndrome (OR = 1.40; 95% CI = 1.20 to 1.63); however, natural menopause was not associated with metabolic syndrome. Interestingly, postmenopausal hormone therapy was associated with a lower risk of metabolic syndrome in the women with natural menopause (OR = 0.79; 95% CI = 0.70 to 0.89), but not in those with surgical menopause. (4) Conclusions: Our results suggest that menopause is associated with an increased prevalence of metabolic syndrome, while postmenopausal hormone therapy is associated with a lower prevalence of metabolic syndrome in women with natural menopause.