Anna Merklinger-Gruchala

Dr. Anna Merklinger-Gruchala

orcid
Andrzej Frycz Modrzewski Krakow University, Poland

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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AMAnna Merklinger-Gruchala
Anna Merklinger-Gruchala
Grazyna JasienskaGrazyna Jasienska
Grazyna Jasienska
MKMaria Kapiszewska
Maria Kapiszewska
Air pollution can influence women’s reproductive health, specifically menstrual cycle characteristics, oocyte quality, and risk of miscarriage. The aim of the study was to assess whether air pollution can affect the length of the overall menstrual cycle and the length of its phases (follicular and luteal). Municipal ecological monitoring data was used to assess the air pollution exposure during the monitored menstrual cycle of each of 133 woman of reproductive age. Principal component analyses were used to group pollutants (PM10, SO2, CO, and NOx) to represent a source-related mixture. PM10 and SO2 assessed separately negatively affected the length of the luteal phase after standardization (b = −0.02; p = 0.03; b = −0.06; p = 0.02, respectively). Representing a fossil fuel combustion emission, they were also associated with luteal phase shortening (b = −0.32; p = 0.02). These pollutants did not affect the follicular phase length and overall cycle length, neither in single- nor in multi-pollutant models. CO and NOx assessed either separately or together as a traffic emission were not associated with overall cycle length or the length of cycle phases. Luteal phase shortening, a possible manifestation of luteal phase deficiency, can result from fossil fuel combustion. This suggests that air pollution may contribute to fertility problems in women.

1 October 2008 in European Journal Of Cancer Prevention
Verified
Journal Article
Closed access
AMAnna Merklinger-Gruchala
Anna Merklinger-Gruchala
PEPeter T. Ellison
Peter T. Ellison
SLSusan F. Lipson
Susan F. Lipson
ITInger Thune
Inger Thune
Grazyna JasienskaGrazyna Jasienska
Grazyna Jasienska
Higher exposure to light at night, for example, owing to night shift work or decrease in sleep duration, may suppress melatonin production, which in turn may increase the reproductive hormone levels. High levels of steroid hormones, especially estrogens, may be associated with an increase of the breast cancer risk. This study investigated whether variation in the sleep duration during one entire menstrual cycle corresponds to estradiol saliva concentrations in healthy, urban women of reproductive age. During 2000-2001, 95 regularly menstruating women aged 24-36 in Poland collected daily saliva samples for one entire menstrual cycle. Saliva samples were analyzed for concentration of 17-beta estradiol (E2) using radio immunoassay. Information on the number of hours of sleep per night (sleep duration) was collected daily by questionnaires for one entire menstrual cycle. Using covariance analysis, after adjustments for sleep duration, we documented a positive relationship between the sleep variation (sleep coefficient of variation) and E2 levels in women of reproductive age. Mean levels of E2 differed significantly in women from the lowest sleep coefficient of variation quartile (13.93 pmol/l) in comparison with other quartiles (22.35 pmol/l), (P<0.001). The low sleep variation group, that is, the women who sleep regularly, had mean E2 levels 60% lower than other groups. These results suggest that sleep variation significantly correlates with E2 levels, whereas sleep duration does not show a statistically significant relationship. This study suggests that sleep variation may influence endogenous estrogens, which is of importance for risk of breast cancer.

7 March 2015 in American Journal of Human Biology
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Journal Article
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AMAnna Merklinger-Gruchala
Anna Merklinger-Gruchala
Grazyna JasienskaGrazyna Jasienska
Grazyna Jasienska
MKMaria Kapiszewska
Maria Kapiszewska

AMAnna Merklinger-Gruchala
Anna Merklinger-Gruchala
MKMaria Kapiszewska
Maria Kapiszewska
Uncertainty and insecurity in the relationship between the mother and father of a child are responsible for heightened maternal stress, which can lead to preterm birth (PTB). Different intensities of prenatal stress (proxied by four levels of marital status linked with the presence or absence of paternal data on birth records) were defined as the Marital-Father Data index. We assessed the impact of those varying intensities of prenatal stress on PTB with respect to parity among a group of Polish mothers residing in Krakow (N = 87,916). We found a pattern across the adjusted risk ratios (RR) of preterm birth that ordered these estimates in an increasing trend towards higher risk, beginning with the group of married mothers with father data present (baseline), through the groups of legitimizing marriages—married after conception with father data present (RR = 1.1; 95% Confidence Intervals (CI) 1.0–1.2) and unmarried mothers with father data present (RR = 1.3; 95% CI 1.2–1.5) to the group of unmarried mothers with father data absent (RR = 1.9; 95% CI 1.7–2.2). The adjusted p for the linear trend between Marital-Father Data index and PTB was less than 0.001. The adjusted effect of perceived prenatal stress differed with respect to parity (confirmed by statistically significant interactions between Marital-Father Data index levels and parity), with a higher magnitude of this effect noted among multiparous versus primiparous women. Low paternal involvement and support during pregnancy may negatively affect PTB risk and this effect may differ in relation to parity status. More attention should be paid to maternal pregnancy stress, especially of multiparous mothers, to decrease the risk of unfavorable birth outcomes.

8 January 2022 in BMC Women's Health
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Journal Article
Open access
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AMAnna Merklinger-Gruchala
Anna Merklinger-Gruchala
Grazyna JasienskaGrazyna Jasienska
Grazyna Jasienska
ITInger Thune
Inger Thune
MKMaria Kapiszewska
Maria Kapiszewska
Background: Although relationships between exposure to air pollution and reproductive health are broadly studied, mechanisms behind these phenomena are still unknown. The aim of the study was to assess whether exposure to particulate matter (PM10) and tobacco smoking have an impact on menstrual profiles of 17β-estradiol (E2) and progesterone (P) and the E2/P ratio. Methods: Levels of sex hormones were measured daily in saliva during the entire menstrual cycle among 132 healthy, urban women. Exposure to smoking (active or passive) was assessed by questionnaire, whilst exposure to PM10 with municipal monitoring data. Results: During the early luteal phase, profiles of E2 were elevated among women with higher versus lower exposure to PM10 (p = 0.02, post-hoc tests). Among those who were exposed versus unexposed to tobacco smoking, the levels of mean E2 measured during the entire cycle were higher (p = 0.02). The difference in mean E2 levels between the group of joint exposure (i.e. to high PM10 and passive or active smoking) versus the reference group (low PM10, no smoking) was statistically significant at p = 0.03 (18.4 vs. 12.4 pmol/l, respectively). The E2/P ratios were higher among women with higher versus lower exposure to PM10 and this difference was seen only in the early luteal phase (p = 0.01, exploratory post-hoc tests). Conclusions: We found that PM10 and tobacco smoking affect ovarian hormones independently and do not interact with each other. Both exposures appear to have estrogenic effects even though women's susceptibility to these effects differs across the menstrual cycle. We propose that the hormonal mechanisms are involved in observed relationships between air pollution and smoking with women’s reproductive health.

24 January 2019 in PLOS ONE
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AMAnna Merklinger-Gruchala
Anna Merklinger-Gruchala
Grazyna JasienskaGrazyna Jasienska
Grazyna Jasienska
MKMaria Kapiszewska
Maria Kapiszewska
According to life-history theory, paternal investment affects the well-being of offspring. We hypothesized that environmental stress caused by a lack of paternal investment may diminish maternal resource allocation during pregnancy, especially for women who already have dependent children. Our study was conducted on a representative group of more than 80,500 singleton, live-born, full-term infants born in Krakow, Poland in the period 1995–2009. Birth data were obtained from the birth registry. We found that missing data about fathers (a proxy measure of low paternal investment) was associated with higher probability of multiparous mothers giving birth to low-birth-weight infants (1.48; 95% CI 1.05–2.08), but this was not the case with primiparous mothers (1.19; 95% CI 0.89–1.59). The statistically significant synergistic effect between parity and paternal investment was found (Synergy Factor = 2.12; 95% CI 1.47–3.05, p<0.001). These findings suggest that in situations of low paternal investment, multiparous mothers face trade-offs between investing in existing versus unborn children, therefore investment in the latter is lower. Such a strategy may benefit maternal fitness due to investment in older children, who have higher reproductive value.