Dataset Information

Physical Activity, Hormone Therapy Use, and Stroke Risk among Women in the California Teachers Study Cohort.

ABSTRACT:

Background

Postmenopausal hormone therapy (HT) increases the risk of stroke. Here we evaluate whether leisure time physical activity (LTPA) can change stroke risk in women using HT, leveraging data from the California Teachers Study.

Methods

Female California educators without a prior history of stroke (n = 118,294) were followed from 1995 through 2015 for stroke end points. Based on statewide hospitalization data, 4,437 women had ischemic (n = 3,162; International Classification of Diseases [ICD]-9 433, 434, 436) or hemorrhagic (n = 1,275; ICD-9 430-432, excluding 432.1) stroke. LTPA and HT use were evaluated at 2 time points (baseline [1995-1996] and 10-year follow-up [2005-2006]). LTPA was assessed using American Heart Association (AHA) recommendations (>150 min/week moderate or >75 min/week strenuous physical activity). Using multivariable Cox proportional hazards models, we estimated the hazard ratios (HRs) and 95% CIs for the associations between HT use and concurrent LTPA with incident stroke.

Results

Compared to women who never used HT, stroke risk was highest among women who were current HT users and did not meet AHA recommendations for LTPA at the time of their HT use: HRbaseline 1.28 (95% CI 1.13-1.44); HR10-year follow-up 1.17 (95% CI 0.91-1.50). Based on the baseline questionnaire, current HT users who met AHA recommendations for LTPA in 1995-1996 still had elevated stroke risk in the 20-year follow-up (HR 1.22, 95% CI 1.08-1.37). However, among current HT users who met AHA recommendations for LTPA at the 2005-2006 follow-up questionnaire, stroke risk was not elevated (HR 1.01, 95% CI 0.80-1.29). Evaluation of the 2 time points in concert further demonstrated that meeting AHA recommendations for LTPA at the most recent follow-up time point was required to reduce HT-related stroke risk.

Conclusion

Concurrent physical activity may attenuate the short-term increase in risk of stroke risk associated with HT use.

SUBMITTER: Zhong C

PROVIDER: S-EPMC7371500 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Publications

Physical Activity, Hormone Therapy Use, and Stroke Risk among Women in the California Teachers Study Cohort.

Zhong Charlie C Voutsinas Jenna J Willey Joshua Z JZ Lakshminarayan Kamakshi K Lacey James V JV Chung Nadia T NT Woo Daniel D Elkind Mitchell S V MSV Wang Sophia S SS

Neuroepidemiology 20200211 4

<h4>Background</h4>Postmenopausal hormone therapy (HT) increases the risk of stroke. Here we evaluate whether leisure time physical activity (LTPA) can change stroke risk in women using HT, leveraging data from the California Teachers Study.<h4>Methods</h4>Female California educators without a prior history of stroke (n = 118,294) were followed from 1995 through 2015 for stroke end points. Based on statewide hospitalization data, 4,437 women had ischemic (n = 3,162; International Classification ...[more]

PMID: 32045925

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Project description:Introduction: Mammographic density (MD) is a strong biomarker of breast cancer risk. MD increases after women start estrogen plus progestin therapy (EPT) and decreases after women quit EPT. A large interindividual variation in EPT-associated MD change has been observed, but few studies have investigated genetic predictors of the EPT-associated MD change. Here, we evaluate the association between polymorphisms in hormone metabolism pathway genes and MD changes when women quit EPT.Methods: We collected mammograms before and after women quit EPT and genotyped 405 tagging single nucleotide polymorphisms (SNPs) in 30 hormone metabolism pathway genes in 284 non-Hispanic white participants of the California Teachers Study (CTS). Participants were ages 49 to 71 years at time of mammography taken after quitting EPT. We assessed percent MD using a computer-assisted method. MD change was calculated by subtracting MD of an 'off-EPT' mammogram from MD of an 'on-EPT' (that is baseline) mammogram. Linear regression analysis was used to investigate the SNP-MD change association, adjusting for the baseline 'on-EPT' MD, age and BMI at time of baseline mammogram, and time interval and BMI change between the two mammograms. An overall pathway and gene-level summary was obtained using the adaptive rank truncated product (ARTP) test. We calculated 'P values adjusted for correlated tests (P(ACT))' to account for multiple testing within a gene.Results: The strongest associations were observed for rs7489119 in SLCO1B1, and rs5933863 in ARSC. SLCO1B1 and ARSC are involved in excretion and activation of estrogen metabolites of EPT, respectively. MD change after quitting was 4.2% smaller per minor allele of rs7489119 (P?=?0.0008; P(ACT)?=?0.018) and 1.9% larger per minor allele of rs5933863 (P?=?0.013; P(ACT)?=?0.025). These individual SNP associations did not reach statistical significance when we further used Bonferroni correction to consider the number of tested genes. The pathway level summary ARTP P value was not statistically significant.Conclusions: Data from this longitudinal study of EPT quitters suggest that genetic variation in two hormone metabolism pathway genes, SLCO1B1 and ARSC, may be associated with change in MD after women stop using EPT. Larger longitudinal studies are needed to confirm our findings.

Project description:BACKGROUND:The contribution of genetic polymorphisms to the large inter-individual variation in mammographic density (MD) changes following starting and stopping use of estrogen and progestin combined therapy (EPT) has not been well-studied. Previous studies have shown that circulating levels of insulin-like growth factors are associated with MD and cross-talk between estrogen signaling and growth factors is necessary for cell proliferation in the breast. We evaluated single nucleotide polymorphisms (SNPs) in growth factor genes in association with MD changes after women stop EPT use. METHODS:We genotyped 191 SNPs in 13 growth factor pathway genes in 284 non-Hispanic white California Teachers Study participants who previously used EPT and collected their mammograms before and after quitting EPT. Percent MD was assessed using a computer-assisted method. Change in percent MD was calculated by subtracting percent MD of an 'off-EPT' mammogram from percent MD of an 'on-EPT' (i.e. baseline) mammogram. We used multivariable linear regression analysis to investigate the association between SNPs and change in percent MD. We calculated P-values corrected for multiple testing within a gene (Padj). RESULTS:Rs1983210 in INHA and rs35539615 in IGFBP1/3 showed the strongest associations. Per minor allele of rs1983210, the absolute change in percent MD after stopping EPT use decreased by 1.80% (a difference in absolute change in percent MD) (Padj= 0.021). For rs35539615, change in percent MD increased by 1.79% per minor allele (Padj= 0.042). However, after applying a Bonferroni correction for the number of genes tested, these associations were no longer statistically significant. CONCLUSIONS:Genetic variation in growth factor pathway genes INHA and IGFBP1/3 may predict longitudinal MD change after women quit EPT. The observed differences in EPT-associated changes in percent MD in association with these genetic polymorphisms are modest but may be clinically significant considering that the magnitude of absolute increase in percent MD reported from large clinical trials of EPT ranged from 3% to 7%.

Dataset Information

Physical Activity, Hormone Therapy Use, and Stroke Risk among Women in the California Teachers Study Cohort.

Background

Methods

Results

Conclusion

Publications

Physical Activity, Hormone Therapy Use, and Stroke Risk among Women in the California Teachers Study Cohort.

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