|Year : 2011 | Volume
| Issue : 1 | Page : 59-61
Primary report on the risk factors affecting female infertility in South Indian districts of Tamil Nadu and Kerala
S Shamila, SL Sasikala
Reproductive Endocrinology Laboratory, Centre for Marine Science and Technology, Manonmanium Sundaranar University, Marina Campus, Rajakkamangalam, Tamil Nadu, India
|Date of Submission||05-Oct-2009|
|Date of Acceptance||16-Jun-2010|
|Date of Web Publication||12-May-2011|
Research Scholar, Reproductive Endocrinology Laboratory, Centre for Marine Science and Technology, Manonmanium Sundaranar University, Marina Campus, Rajakkamangalam-629 502, Tamil Nadu
Source of Support: None, Conflict of Interest: None
|How to cite this article:|
Shamila S, Sasikala S L. Primary report on the risk factors affecting female infertility in South Indian districts of Tamil Nadu and Kerala. Indian J Community Med 2011;36:59-61
|How to cite this URL:|
Shamila S, Sasikala S L. Primary report on the risk factors affecting female infertility in South Indian districts of Tamil Nadu and Kerala. Indian J Community Med [serial online] 2011 [cited 2020 Jul 14];36:59-61. Available from: http://www.ijcm.org.in/text.asp?2011/36/1/59/80797
| Introduction|| |
Over population has always been the prime problem of developing countries like India forcing toward birth control. Industrial revolution improved quality of living and increased longevity. While developmental processes are in full swing at one angle, fertility is fast declining at the other angle due to the modern lifestyle and usage of chemicals which impair reproduction. 
World Health Organization explains primary infertility as inefficiency to conceive after 2 years of unprotected sex and secondary if not conceived following previous pregnancy. Biological and social factors including stress due to economic status, religious attitudes, age of marriage, urbanization leading to modernization, higher literacy, contraceptive usage and nuclear families play a significant role in lowering fertility. 
A survey was undertaken to study the occurrence of infertility cases and major factors influencing infertility in southern districts of India.
| Materials and Methods|| |
Enormous information generated through survey works in abroad as what lacks in India. Collection of data on infertility (sensitive issue) was very difficult in our conservative societies. Owing to high literacy in the selected study area, we expected some open communication.
About 150 married couples in Kanyakumari, 165 in Thirunelveli, and 204 in Thiruvananthapuram were randomly interviewed to ascertain the prevalence of infertility. Data were collected from the patients contacting the Department of Obstetrics and Gynecology in infertility clinics. Definitive protocols including their age, region, religion, education, occupation, lifestyle, type of infertility, family history of infertility, and menstrual history were followed to determine the etiology of infertility.
The data collected were subjected to mean, standard error, percentage and Pearson's correlation analysis.
| Results|| |
Occurrence of infertility
In Kanyakumari district, the incidence of female infertility was 45.67%, male infertility 54.33%, 82.48% were primarily and 17.52% secondarily infertile. Male infertility was higher in all the three study areas with Thiruvananthapuram displaying minimum female infertility [Table 1].
Maximum infertility of females visiting infertility clinics prevailed between 25 and 30 years of age, with 43.80%, 47.95% and 36.26% in Kanyakumari, Thirunelveli and Thiruvananthapuram, respectively [Table 1].
Infertility and conjugal life
Out of 137 infertile females interviewed in Kanyakumari, 51.82% were infertile for 5 years, 32.85% for 10 years, 13.14% for 15 years, 01.46% for 20 years and only 00.73% for 25 years after marriage [Table 1]. Almost the same trend (P < 0.01) prevailed in Thirunelveli and Thiruvananthapuram.
Region and religion
The percentage of infertile females was more in urban than rural in all the three study areas (P < 0.01). Infertile females were reported from all religions, Hindu, Christian and Muslim [Table 2].
|Table 2: Sociodemographic characteristics of infertile females in three different study areas|
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Educational status being the most important variable, women with secondary school education and above had markedly lower average fertility (P < 0.01) than the less educated [Table 2].
In Kanyakumari, 76.64% of infertile females were unemployed and 23.36% (P < 0.01) employed. Among employed, 72.22% (P < 0.01) were at lower positions and 27.78% (P < 0.05) were at high posts. In Thirunelveli and Thiruvananthapuram, infertility was more in unemployed women (78.77% and 70.18%, respectively). Similarly, females at lower positions were more infertile [Table 2].
Our results show that the family history of infertility is significantly correlated (P < 0.01) with infertility [Table 2]
in the three study areas.
Partner living abroad
Positive correlation of infertility (P < 0.01) was recorded where the husband lived abroad due to occupation [Table 2].
Infertile couples in all the three districts used minimum number of contraceptives showing negative correlation between infertility and usage of contraception [Table 2].
Menstrual irregularity was reported among infertile females in the three study areas (40%, 44.85%, 44.11% respectively) and was positively correlated with female infertility (P < 0.01).
| Discussion|| |
In the present study, an effort has been made to find out common factors responsible for female infertility in the three study areas. The prevalence of female infertility was 45.67% in Kanyakumari, 44.24% in Thirunelveli, and 41.91% in Thiruvananthapuram. Primary infertility is as common distressing problem in India as in other parts of the world. Zargar et al reported that the magnitude of primary infertility in India was 50%..  The present study clearly indicates that primary infertility was more dominating than secondary infertility in South India.
A woman reaches her maximum fertility potential at the age of 30.  We observed maximum number of infertile females in the age group of 25 - 30 years indicating a shift in the fertility potential age. Maximum women had 1- 5 years of infertility duration but Sumita and Ranjit reported that 57.5% were infertile for 2 - 5 years. 
We established more infertility in urban than rural areas while Mokhtar et al reported more infertility in rural areas.  In India, women with high school education and above have markedly higher infertility rate than the less educated.  Kerala had set an example by having high female literacy and lower infertility.
Interestingly, the infertility percentage of unemployed females was more in all three study areas than the employed suggesting lifestyle stress. The incidence of infertility among women with a positive infertility family history among mothers and sisters was 24% and 32%, respectively.  In Kanyakumari 13.14% couples, Thirunelveli 25.34% couples and Thiruvananthapuram 16.96% couples had a temporarily migrant male partner working abroad who failed to persist getting infertility treatment.
According to Dabral and Malik usage of family planning methods increases with education of women.  However, we observed very few educated couples using contraceptives. Frank found that women with PCOS were concomitant with increased risk of infertility.  Which is true in the present study where PCOS was the major cause for infertility.
| References|| |
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|3.||Zargar AH, Wani AI, Masoodi SR, Laway BA, Salahuddin M. Epidemologic and etiologic aspects of primary infertility in the Kashmir region of India. Fertil Steril. 1997;68:637-43. |
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[Table 1], [Table 2]