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Influence of cigarette smoking on hormone and lipid metabolism in women in late reproductive stage

Overview of attention for article published in Clinical Interventions in Aging, January 2018
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Title
Influence of cigarette smoking on hormone and lipid metabolism in women in late reproductive stage
Published in
Clinical Interventions in Aging, January 2018
DOI 10.2147/cia.s140487
Pubmed ID
Authors

Małgorzata Szkup, Anna Jurczak, Beata Karakiewicz, Artur Kotwas, Jacek Kopeć, Elżbieta Grochans

Abstract

The aim of the study was to analyze lipid and hormone metabolism, body mass index (BMI), and age parameters in late reproductive stage women in relation to cigarette smoking. The study enrolled 345 healthy late reproductive stage women living in Poland; 13.33% were smokers. The first part of the study assessed lipid metabolism (total cholesterol, high-density lipoprotein [HDL], low-density lipoprotein [LDL], and triglycerides) and hormone metabolism (estradiol [E2], follicle-stimulating hormone [FSH], and anti-Müllerian hormone [AMH] levels) in women in the early phase of the follicular menstrual cycle. The second part of study was carried out using the diagnostic survey method, with a standardized questionnaire (Primary Care Evaluation of Mental Disorders [PRIME-MD]) and the authors' own research tools. The women were aged 42.3±4.5 years (mean ± SD). The BMI (24.8±4.04 kg/m2) did not differ significantly between the groups. The women who smoked cigarettes had a statistically significantly (p<0.05) lower level of HDL as well as higher LDL and triglyceride levels (p<0.05). Differences were also shown in hormone levels: non-smoking participants had statistically significantly higher levels of E2 and FSH (p<0.05). In the group of non-smoking women, age was a predictor exerting a significant positive impact on the levels of total cholesterol, LDL, triglycerides, and AMH (p<0.05). BMI contributed to a decline in HDL and triglyceride levels. In the group of smoking women, age significantly positively influenced the level of E2, and negatively influenced AMH. BMI was associated with a significant decrease in the HDL level. Smoking cigarettes affects the physical health of women in late reproductive stage through negative influences on lipid and hormone metabolism, among other factors. Age is an unmodifiable factor adversely affecting both lipids and hormones. Higher BMI has a negative influence on lipid metabolism in both groups of women in this study.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 18%
Researcher 4 9%
Other 3 7%
Student > Ph. D. Student 3 7%
Lecturer 2 5%
Other 7 16%
Unknown 17 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 16%
Medicine and Dentistry 6 14%
Nursing and Health Professions 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Unspecified 2 5%
Other 3 7%
Unknown 21 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 July 2018.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Clinical Interventions in Aging
#1,779
of 1,968 outputs
Outputs of similar age
#389,382
of 449,550 outputs
Outputs of similar age from Clinical Interventions in Aging
#42
of 44 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 449,550 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.