Infertility Management and Pharmacotherapy: What Every Pharmacist Should Know

Cieri‐Hutcherson, Nicole E.; Harris, John Brock; Karaoui, Lamis R.; Lakdawala, Lauren; Lodise, Nicole M.; Stone, Rebecca H.; Vernon, Veronica

doi:10.1177/0897190020930969

Cited by 7 publications

(3 citation statements)

References 57 publications

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“…The worldwide prevalence of infertility varies between 9% and 18%, showing a rising trend in recent years [ 2 , 3 ]. In the United States, approximately 15% of couples experience infertility [ 4 ]. Infertility not only impacts patients’ ability to fulfill their reproductive needs but also poses an increased risk of developing reproductive cancers and metabolism-related diseases [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of physical activity on infertility in reproductive females

Zhang,

Hua,

Liu

et al. 2024

Reprod Biol Endocrinol

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Objectives To explore the relationship between different types of physical activity and female infertility. Methods This study analyzed data from 2,796 female participants aged 18–44 years in the United States, obtained from the National Health and Nutrition Examination Survey (NHANES) database spanning the years 2013 to 2020. Multiple logistic regression analyses and generalized linear models were used to explore the relationship between different types of physical activity and infertility after adjusting for potential confounding factors. Results We found a non-linear relationship between recreational activities and infertility with an inflection point of 5.83 h/week (moderate intensity), while work activities and traffic-related activities did not. On the left side of the inflection point, there was no significant association between recreational activity time and infertility (OR = 0.93, 95% CI: 0.86 to 1.02, P = 0.1146), but on the right side of the inflection point, there was a positive association between recreational activity time and the risk of infertility (OR = 1.04, 95% CI: 1.02 to 1.06, P = 0.0008). Conclusions The relationship between different types of physical activity and female infertility varies. We acknowledge the potential influence of confounding variables on this relationship. However, we have already adjusted for these potential variables in our analysis. Therefore, our findings suggest that appropriate recreational activity programs are essential for promoting reproductive health in women of reproductive age. Nevertheless, it is important to note that the observed association does not imply causality. Given the limitations of cross-sectional studies, further prospective cohort studies are needed to explore the causal relationship while accounting for additional confounding factors.

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Section: Introductionmentioning

confidence: 99%

Effects of physical activity on infertility in reproductive females

Zhang,

Hua,

Liu

et al. 2024

Reprod Biol Endocrinol

View full text Add to dashboard Cite

show abstract

“…The global incidence of infertility ranges from 9% to 18%, with a continuous increase in recent years ( 2 , 3 ). In the United States, up to 15% of couples are affected by infertility ( 4 ). Infertility represents a widespread global health concern, highlighting the significance of identifying risk factors and prioritizing preventive measures.…”

Section: Introductionmentioning

confidence: 99%

Association between bedtime and female infertility: a secondary analysis from a cross-sectional study

Zhang,

Chen

et al. 2024

Front. Endocrinol.

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ObjectiveTo evaluate the association between bedtime and infertility and to identify the optimal bedtime for women of reproductive age.MethodsWe conducted a cross-sectional study using data from 3,903 female participants in the National Health and Nutrition Examination Survey (NHANES) from 2015 to 2020. The effect of bedtime on female infertility was assessed using the binary logistic regression in different models, including crude model and adjusted models. To identify the non-linear correlation between bedtime and infertility, generalized additive models (GAM) were utilized. Subgroup analyses were conducted by age, body mass index (BMI), waist circumference, physical activity total time, marital status, smoking status, drinking status and sleep duration.ResultsAfter adjusting for potential confounders (age, race, sleep duration, waist circumference, marital status, education, BMI, smoking status, drinking status and physical activity total time), a non-linear relationship was observed between bedtime and infertility, with the inflection point at 22:45. To the left side of the inflection point, no significant association was detected. However, to the right of it, bedtime was positively related to the infertility (OR: 1.22; 95% CI: 1.06 to 1.39; P = 0.0049). Subgroup analyses showed that late sleepers with higher BMI were more prone to infertility than those with a lower BMI (BMI: 25–30 kg/m2: OR: 1.26; 95% CI: 1.06 to 1.51; P = 0.0136; BMI ≥ 30 kg/m²: OR: 1.21, 95% CI: 1.09 to 1.34; P = 0.0014).ConclusionBedtime was non-linearly associated with infertility, which may provide guidance for sleep behavior in women of childbearing age.

show abstract

“…The global incidence of infertility ranges from 9% to 18%, with a continuous increase in recent years (2,3). In the United States, up to 15% of couples are affected by infertility (4). Infertility represents a widespread global health concern, highlighting the significance of identifying risk factors and prioritizing preventive measures.…”

Section: Introductionmentioning

confidence: 99%

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Infertility Management and Pharmacotherapy: What Every Pharmacist Should Know

Cited by 7 publications

References 57 publications

Effects of physical activity on infertility in reproductive females

Effects of physical activity on infertility in reproductive females

Association between bedtime and female infertility: a secondary analysis from a cross-sectional study

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