| Literature DB >> 26669322 |
Sarah Firns1, Vinicius Fernandes Cruzat1, Kevin Noel Keane2,3, Karen A Joesbury4,5, Andy H Lee4, Philip Newsholme1, John L Yovich6,7.
Abstract
BACKGROUND: Lifestyle factors including cigarette smoking, alcohol consumption and nutritional habits impact on health, wellness, and the risk of chronic diseases. In the areas of in-vitro fertilization (IVF) and pregnancy, lifestyle factors influence oocyte production, fertilization rates, pregnancy and pregnancy loss, while chronic, low-grade oxidative stress may underlie poor outcomes for some IVF cases.Entities:
Mesh:
Year: 2015 PMID: 26669322 PMCID: PMC4681150 DOI: 10.1186/s12958-015-0133-x
Source DB: PubMed Journal: Reprod Biol Endocrinol ISSN: 1477-7827 Impact factor: 5.211
Fig. 1The impact of lifestyle factors on IVF outcomes. From the time of primates, fruits and vegetables consumption were part of the diet and considered an excellent source of essential nutrients, such as vitamins and minerals, among others that support the balance between Reactive Oxygen Species (ROS) and the antioxidant defences. However, modern lifestyle choices, including smoking, alcohol abuse and over-nutrition, can promote chronic low-grade inflammation and oxidative stress in various organs. Taken together, these lifestyle factors may eventually impact on IVF outcomes, having adverse effects on the reproductive system in both, men and women
Overview of lifestyle factors by gender
|
| Min | Max | Mean | SD | Median | IQR | ||
|---|---|---|---|---|---|---|---|---|
| Female | ||||||||
| smoking (years) | Ex-smokers | 93 | 0.5 | 25.0 | 8.7 | 6.4 | 7.0 | 10.0 |
| Occasional smokers | 11 | 5.0 | 29.0 | 12.8 | 6.6 | 10.0 | 5.0 | |
| Regular smokers | 40 | 6.0 | 25.0 | 15.0 | 5.7 | 15.0 | 10.0 | |
| Never smokers | 142 | - | - | - | - | - | - | |
| Nicotine (mg/wk) | Occasional smokers | 11 | 0 | 3.6 | 1.4 | 1.3 | 1.6 | 2.7 |
| Regular smokers | 40 | 0.8 | 175.0 | 43.5 | 40.9 | 31.4 | 44.6 | |
| Alcohol (std drinks/wk) | 286 | 0 | 30.0 | 3.1 | 5.2 | 0 | 4.5 | |
| F&V (serves/wk) | 286 | 0 | 67.0 | 24.9 | 11.6 | 24.0 | 14.8 | |
| Male | ||||||||
| Smoke (years) | Ex-smokers | 67 | 0.5 | 30.0 | 9.9 | 6.7 | 10.0 | 9.0 |
| Occasional smokers | 11 | 5.0 | 25.0 | 12.8 | 6.0 | 11.5 | 5.8 | |
| Regular smokers | 51 | 0.5 | 30.0 | 17.4 | 6.7 | 18.0 | 10.0 | |
| Never smokers | 124 | - | - | - | - | - | - | |
| Nicotine (mg/wk) | Occasional smokers | 11 | 0 | 4.1 | 1.2 | 1.8 | 0 | 3.6 |
| Regular smokers | 51 | 4.9 | 245.0 | 70.7 | 55.1 | 59.8 | 69.6 | |
| Alcohol (std drinks/wk) | 253 | 0 | 79.0 | 9.9 | 11.6 | 6.5 | 14.0 | |
| F&V (serves/wk) | 247 | 0 | 54.0 | 21.0 | 10.6 | 20.0 | 14.5 | |
Multiple logistic regression analysis of in vitro fertilisation ratesa,b,c (n = 152)
| Variable | β Coefficient | Standard error |
|
|---|---|---|---|
| Constant | 0.277 | 0.214 | 0.196 |
| Female nicotine (mg/wk) | −0.012 | 0.009 | 0.176 |
| Female smoke (years) | −0.047 | 0.010 | < 0.001 |
| Female smoke years*nicotine | 0.001 | < 0.001 | 0.044 |
| Male alcohol (std drinks/wk) | 0.074 | 0.014 | < 0.001 |
| Male F&V (serves/wk) | 0.034 | 0.007 | < 0.001 |
| Male alcohol*F&V | −0.001 | 0.001 | 0.011 |
*depicts the potential interaction between two terms analysed by logistic regression
aY = no. of oocytes fertilised (2PN) weighted by total no. of oocytes retrieved
badjusted R2 = 0.236, deviance = 281.508, 141df, P < 0.001
cnon-significant variables: female age, female alcohol, female F&V, male age, oligozoospermia, asthenozoospermia, teratozoospermia, male nicotine and male smoke years
Multiple logistic regression analysis of non-ectopic first trimester pregnancy lossa,b,c (n = 68)
| Variable | β Coefficient | OR | 95 % CI |
|
|---|---|---|---|---|
| Constant | −12.116 | - | - | < 0.001 |
| Female age (years) | 0.311 | 1.365 | (1.139, 1.636) | < 0.001 |
| Male nicotine (mg/wk) | 0.024 | 1.024 | (1.006, 1.042) | 0.008 |
a< 12 week pregnancy loss (n = 19) and 12 week ongoing pregnancy (n = 49)
bgoodness-of-fit χ 2 = 18.392, 2df, P < 0.001
cnon-significant variables: embryo quality (mCES), female nicotine, female smoke years, female caffeine, female F&V, male age, male smoke years, male caffeine, male alcohol and male F&V