A study to identify the risk factors associated with infertility among women attending infertility clinics
DOI:
https://doi.org/10.18203/2320-6012.ijrms20252401Keywords:
Infertility, Gynecological, Lifestyle, Demographic, PsychologicalAbstract
Background: Infertility is not a newly emerging issue; it has its crux from the olden days. It is a preexisting problem and a threat to the social integration of families. The impact of this problem contributes a lot to the disharmony among young couples.
Methods: Present study is a quantitative approach and descriptive design. It consists of the demographic variables, gynecological factors, psychological factors, lifestyle factors, physical measures, diagnosed cause of infertility and hormonal values.
Results: A total of 400 women participated in the study, in that 100 cases randomly selected. It was observed that women with infertility (76%) were within the age group of 21-30 years of age, (85%) of them had a primary education and (89%) of them were home makers (77%) them were living in a nuclear family, Hindus (77%) and also reside at urban region (52%). Experience marital conflicts (70%) It was inferred that a higher proportion of women (93%) are non-vegetarians, more than half them (63%) have a meal pattern of 2 meals,
Conclusions: The study concluded that irregular menstrual cycle, marital and familial conflicts, overweight, more of non-vegetarian foods, lack of exercise etc. were some common risk factors associated with infertility. The study thus also had a conclusion that with certain awareness on the modifiable factors and ways to modify them will always contribute towards betterment of women’s health in terms of fertility.
Metrics
References
World Health Organization. Infertility: A Tabulation of Available Data on Prevalence of Primary and Secondary Infertility. Programme on Maternal and Child Health and Family Planning, Division of Family Health. Geneva: World Health Organization. 1991;1 60.
Poongothai J, Gopenath TS, Manonayaki S. Genetics of human male infertility. Singapore Med J. 2009;50(4):336 47.
Chander PP, Indira H, Kusum Z. Need and feasibility of providing assisted technologies for infertility management in resource poor settings. ICMR Bull. 2000;30(6-7):55 62.
Esmaeilzadeh, S. D. Physical Activity and Body Mass Index Among Women Who Have Experienced Infertility. Arch Med Res. 2013;9(3):499-505. DOI: https://doi.org/10.5114/aoms.2013.35342
Homan G, Davies M, Norman R. The Impact of Lifestyle and Reproductive Performance in the General Population and Those Undergoing Infertility Treatment: A Review. Human Reproduction Update, 2007;13(3):209-23. DOI: https://doi.org/10.1093/humupd/dml056
Akindinov A, Alici A, Agostinelli A. Performance of the ALICE Time-Of-Flight detector at the LHC. Eur Phys J Plus. 2013;128:44. DOI: https://doi.org/10.1140/epjp/i2013-13044-x
Adamson PC, Krupp K, Freeman AH, Klausner JD, Reingold AL, Madhivanan P. Prevalence and correlates of primary infertility among young women in Mysore, India. Indian J Med Res. 2011;134:440‑6.
Talwar PP, Go OP, Murali IN. Prevalence of infertility in different population groups in India and its determinants. In: Statistics and Demography. New Delhi: National Institute of Health and Family Welfare and Indian Council of Medical Research; 1986.
Kelly-Weeder S, Cox CL. The impact of lifestyle risk factors on female infertility. Women Health. 2006;44(4):1-23. DOI: https://doi.org/10.1300/J013v44n04_01
Kelly-Weeder S, O'Connor A. Modifiable risk factors for impaired fertility in women: what nurse practitioners need to know. J Am Academy Nurse Pract. 2006;18(6):268-76. DOI: https://doi.org/10.1111/j.1745-7599.2006.00130.x
Boivin J. A review of psychosocial interventions in infertility. Social Sci Med. 2003;57(12):124-7. DOI: https://doi.org/10.1016/S0277-9536(03)00138-2
Andrews FM, Abbey A, Halman LJ. Stress from infertility, marriage factors, and subjective well-being of wives and husbands. J Health Social Behav. 2001;32(3):211-3. DOI: https://doi.org/10.2307/2136806