Urinary Phytoestrogens and Relationship to Menstrual Cycle Length and Variability Among Healthy, Eumenorrheic Women

Abstract Context Phytoestrogens may influence fecundability, although biological mechanisms remain elusive. Since it is hypothesized that phytoestrogens may act through influencing hormone levels, we investigated associations between phytoestrogens and menstrual cycle length, a proxy for the hormonal milieu, in healthy women attempting pregnancy. Design A population-based prospective cohort of 326 women ages 18 to 40 with self-reported cycles of 21 to 42 days were followed until pregnancy or for 12 months of attempting pregnancy. Methods Urinary genistein, daidzein, O-desmethylangolensin, equol, enterodiol, and enterolactone were measured upon enrollment. Cycle length was determined from fertility monitors and daily journals. Linear mixed models assessed associations with continuous cycle length and were weighted by the inverse number of observed cycles. Logistic regression models assessed menstrual regularity (standard deviation > 75th vs ≤ 75th percentile). Models were adjusted for age, body mass index, race, creatinine, exercise, supplements, lipids, lead, cadmium, cotinine, parity, alcohol, and other phytoestrogens. Results Individual phytoestrogens were not associated with cycle length, although total phytoestrogens were associated with shorter cycles (−0.042 days; 95% confidence interval [CI], −0.080 to −0.003, per 10% increase). Each 1 nmol/L increase in enterolactone (odds ratio [OR] 0.88; 95% CI, 0.79-0.97) and total lignans (OR 0.85; 95% CI, 0.76-0.95) was associated with reduced irregularity, and each 1 nmol/L increase in genistein with irregularity (OR 1.19; 95% CI, 1.02-1.38). Conclusion Phytoestrogens were not meaningfully associated with cycle length but may be associated with menstrual regularity, among women with self-reported regular cycles. These results highlight differences between isoflavones and lignans and are reassuring for women attempting pregnancy.

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Sleep quality deterioration in middle-aged and older adults living in a rural Ecuadorian village severely struck by the SARS-CoV-2 pandemic. A population-based longitudinal prospective study

SLEEP ◽

10.1093/sleep/zsab041 ◽

2021 ◽

Author(s):

Oscar H Del Brutto ◽

Robertino M Mera ◽

Aldo F Costa ◽

Bettsy Y Recalde ◽

Pablo R Castillo

Keyword(s):

Sleep Quality ◽

Mixed Models ◽

Regression Models ◽

Pittsburgh Sleep Quality Index ◽

Population Based ◽

Logistic Regression Models ◽

Before And After ◽

Atahualpa Project ◽

Relevant Covariates

Abstract Study Objectives This study assessed changes in sleep quality before and after the peak of the SARS-CoV-2 pandemic in community dwellers enrolled in the Atahualpa Project. Methods Atahualpa residents aged ≥40 years were eligible if they had a Pittsburgh Sleep Quality Index (PSQI) 9 months before the pandemic and a lateral flow-based test for identification of SARS-CoV-2 antibodies during the peak of the pandemic. Six months later, individuals completed a follow-up PSQI. The independent relationship between SARS-CoV-2 infection and deterioration in sleep quality was assessed by fitting logistic mixed models for longitudinal data. Results Of 639 participants (mean age at baseline: 59 ± 12.8 years), 325 (51%) had SARS-CoV-2 antibodies. A total of 185 (29%) individuals at baseline and 311 (49%) at follow-up were poor sleepers (p < 0.001). Mixed logistic regression models demonstrated a significant increase in poor sleepers at follow-up (odds ratio [OR]: 2.85; 95% CI: 2.16 to 3.75), which was more marked among SARS-CoV-2 seropositive subjects (OR: 3.8; 95% CI: 2.48 to 5.81). The adjusted proportion of poor sleepers increased from 29% to 56.2% (95% CI: 50.9% to 61.6%) among SARS-CoV-2 seropositive individuals, but only to 40.7% (95% CI: 35.3% to 46.1%) in their seronegative counterparts (p < 0.001). Likewise, progression from a good to a poor sleeper status was higher among seropositive individuals than in their seronegative counterparts (38.1% vs 22.3%; p < 0.001), after adjusting for relevant covariates. Conclusions This study shows a deleterious effect of SARS-CoV-2 in sleep quality. An effect of SARS-CoV-2 in disrupting sleep-related pathways cannot be ruled out. Trial registration The Atahualpa Project has been registered at ClinicalTrials.gov; the identifier number is NCT01627600, and the date was: 10/02/2012 (https://clinicaltrials.gov/ct2/show/NCT01627600?cond=Atahualpa&draw=2&rank=1). The Sleep Disorders substudy has been registered at ClinicalTrials.gov; the identifier number is NCT01877616, and the date was: 06/13/2013 (https://clinicaltrials.gov/ct2/show/NCT01877616?cond=Atahualpa&draw=2&rank=4).

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Menstrual cycle length categories and blood lipids in a population based cohort study

Nutrition Metabolism and Cardiovascular Diseases ◽

10.1016/s0939-4753(03)80106-0 ◽

2003 ◽

Vol 13 (5) ◽

pp. 324

Keyword(s):

Cohort Study ◽

Menstrual Cycle ◽

Cycle Length ◽

Blood Lipids ◽

Population Based ◽

Menstrual Cycle Length

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Demographic factors associated with missed follow-up among solid tumor patients treated at a large multi-site academic institution

Future Oncology ◽

10.2217/fon-2020-0425 ◽

2020 ◽

Vol 16 (32) ◽

pp. 2635-2643

Author(s):

Samantha L Freije ◽

Jordan A Holmes ◽

Saleh Rachidi ◽

Susannah G Ellsworth ◽

Richard C Zellars ◽

...

Keyword(s):

Cancer Patients ◽

Odds Ratio ◽

Regression Models ◽

Tumor Patients ◽

Logistic Regression Models ◽

Factors Associated ◽

Follow Up Care ◽

Risk Patients ◽

African American Race

Aim: To identify demographic predictors of patients who miss oncology follow-up, considering that missed follow-up has not been well studies in cancer patients. Methods: Patients with solid tumors diagnosed from 2007 to 2016 were analyzed (n = 16,080). Univariate and multivariable logistic regression models were constructed to examine predictors of missed follow-up. Results: Our study revealed that 21.2% of patients missed ≥1 follow-up appointment. African–American race (odds ratio [OR] 1.33; 95% CI: 1.17–1.51), Medicaid insurance (OR 1.59; 1.36–1.87), no insurance (OR 1.66; 1.32–2.10) and rural residence (OR 1.78; 1.49–2.13) were associated with missed follow-up. Conclusion: Many cancer patients miss follow-up, and inadequate follow-up may influence cancer outcomes. Further research is needed on how to address disparities in follow-up care in high-risk patients.

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Sex Differences in the Association between Internet Usage and Overweight/Obesity: Evidence from a Nationally Representative Survey in Nepal

Sexes ◽

10.3390/sexes2010011 ◽

2021 ◽

Vol 2 (1) ◽

pp. 132-143

Author(s):

Juwel Rana ◽

Md. Momin Islam ◽

John Oldroyd ◽

Nandeeta Samad ◽

Rakibul Islam

Keyword(s):

Odds Ratio ◽

Regression Models ◽

Internet Use ◽

Adjusted Odds Ratio ◽

Internet Usage ◽

The Internet ◽

Logistic Regression Models ◽

Biological Sex ◽

Obesity Interventions ◽

Nationally Representative

Objective: To examine the associations between internet use and overweight/obesity in people aged 15–49 years in Nepal and the extent to which these associations differ by biological sex. Materials and methods: The study analyzed the nationally representative Nepal Demographic and Health Survey (NDHS) 2016 data. Multivariable ordinal logistic regression models were fitted to estimate the total effects of internet use (IU) in the last 12 months and frequency of internet use (FIU) in the last month on overweight/obesity adjusted for potential confounders. Results: Of the 10,380 participants, the prevalence of overweight/obesity by IU was 38% (95% confidence interval (CI): 35.9%, 40.1%) for males and 44.1% (95% CI: 41.6%, 46.6%) for female. The likelihood of overweight/obesity was significantly higher (adjusted odds ratio (aOR): 1.55; 95% CI: 1.40, 1.73; p < 0.001) among those participants who used the internet compared to the participants who did not use the internet in the last 12 months. Similar associations were observed when using the augmented measure of exposure-FIU in the last month. We observed the modification effect of sex in the associations of IU (p-difference < 0.001) and FIU (p-difference < 0.002) with overweight/obesity in Nepal. Conclusions: Our findings suggest that future overweight/obesity interventions in Nepal discourage unnecessary internet use, particularly among males.

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