Literature DB >> 19742204

Relationship between consanguinity and depression in a south Indian population.

T S Sathyanarayana Rao, A K Prabhakar, K S Jagannatha Rao, K Sambamurthy, M R Asha, Dushad Ram, Ananya Nanda.   

Abstract

A Pilot study was Carried out to study the association of consanguinity marriage with depression. It was observed that the consanguinity of marriage was associated with depression. The odds ratio was 5.66 (CI: 2.42-13.54). The age and sex had an association with depression. The age and sex adjusted odds ratio of consanguinity marriage was 7.66 (CI: 3.93-19.45) indicating that it is independently associated with depression.

Entities:  

Keywords:  Consanguinity; depression; marriage

Year:  2009        PMID: 19742204      PMCID: PMC2738415          DOI: 10.4103/0019-5545.44906

Source DB:  PubMed          Journal:  Indian J Psychiatry        ISSN: 0019-5545            Impact factor:   1.759


INTRODUCTION

Depression has a complex etiology and often results from a combination of multiple factors. The syndromal depression is linked to physical changes in the brain and to an imbalance of neurotransmitters that carries signals in brain and nerves. Some of the more common factors involved in triggering depression are: Family history, which includes genetics, trauma and stress, which includes financial problems, breaks in relationships or the death of a loved one and other life-changing events such as starting a new job, graduating from school or getting married. Further, pessimistic personality traits like low self-esteem and a negative outlook lead to higher risk of becoming depressed. Sometimes serious medical conditions like heart disease, cancer, and HIV can play a significant role in causing depression.[1-4] However, there are very limited studies interlinking consanguinity and depression. Consanguinity of marriages is prevalent in some communities in the Indian population, especially in south India. It is estimated that, at the national level prevalence of cousin marriages is 14%, the overall figure conceals the regional and religious differences. For example, in Tamil Nadu 47 percent of marriages were consanguineous compared to 25 percent in Maharashtra and less than 10 percent in northern and eastern India.[5] Bittles et al, in a large scale study in two cities in Karnataka, reported the prevalence of consanguineous marriage in Bangalore and Mysore to be 37% and 31% respectively.[6] Studies have shown that the consanguinity of marriages is associated with many diseases related to birth malformations due to expression of recessive defects.[7-15] The genetics of depression is still not understood.[16-18] The clinical observations indicated that the depression is very high in some communities where the consanguinity of marriages is also high.[19] However, it is still a debatable topic. In this study, we present evidence showing the association of depression with consanguineous marriages, which suggests that recessive genetic factors influence depression.

MATERIALS AND METHODS

The study was planned with a case–control design. Proven depression cases based on DSM IV TR[20] criteria were selected from the out patient department of JSS medical college, Mysore and Vinayaka Nursing Home, Mandya during 2006-2008 after obtaining the appropriate consent. The controls were selected from consented patients from the departments of Surgery, Emergency and Orthopedics of JSS medical college, Mysore. The subjects for the study were in the age group 20-70 years of both sexes. The information on age, sex, educational status, community and consanguinity of marriages was obtained from each subject and included in the study. Univariate analysis was carried out with consanguinity and other factors to study the association. Also estimated the odds ratios for factors, which had association with depression. The bivariate logistic regression analysis was adopted to study the independent association of consanguinity of marriage with depression.

RESULTS

The mean age of subjects included in the study was 39.04 (standard deviation 16.93), the mean age of cases was 33.64 and controls was 45.51. The females constituted 36.5 percent with 37.1 percent in controls compared to 43.9 in cases. The data indicated that the consanguinity was found to be associated with the depression. The odds ratio was 5.66 with confidence interval 2.42-13.54 [Table 1]. It was observed that in younger age groups, the OR was 6.43 compared to persons above age 50 years. The females had higher risk of depression compared to males (OR 2.34). The univariate analysis with other factors with depression indicated that age and sex were associated with depression. The educational status and community had no association with consanguinity [Table 2].
Table 1

The Odds ratio with confidence interval of consanguinity marriage with depression

Consanguinity↓DepressionControlTotalOdds ratio
No64 (40.4)74 (53.0)138 (100.0)1.00
Yes44 (83.0)9 (17.0)53 (100/0)5.66 (2.42-13.54)
Total180 (56.5)83 (43.5)191 (100/0)

Number in parenthesis represents percentages (P<.05)

Table 2

The Odds ratio with confidence interval of socio demographic factors with depression

FactorsClassificationCaseControlsP valueOdds ratio
1.SexMales5962P<0.051.00
Females49222.34 (1.21-4.55)
2.Age distribution (In years)501436P<0.051.00
40-4922163.54 (1.33-9.57)
30-3930126.43 (2.37-17.88)
20-2932165.14 (2.00-13.43)
< 201046.43 (6.50-29.74)
3.EducationNot literate3737P>0.05
Primary School59
Middle School1615
High School2716
PUC/ diploma146
Graduate92
4CommunityGowda5335P>0.05
Lingayat1518
Others4031
The Odds ratio with confidence interval of consanguinity marriage with depression Number in parenthesis represents percentages (P<.05) The Odds ratio with confidence interval of socio demographic factors with depression The multivariate analysis with bivariate logistic regression analysis was applied to study the independent association of consanguinity of marriages with depression after removing the effect of age and sex. It was observed that the odds ratio of consanguinity was. 7.32 (3.93-19.45). The classificatory analysis indicated that with the three variables, it is possible to classify correctly 69.1 percent of subjects [Table 3]. The consanguity marriage alone could classify 61.9% correctly [Table 4].
Table 3

Classification of subjects with bivariate regression analysis of consanguinity of marriage, age and sex with depression

Observed/↓ Predicted→YesNoPercentage with correct
Yes852378.7
No364756.5
Over all percentage69.1
Table 4

Classification of subjects with bivariate regression analysis of consanguinity of marriage with depression

Observed/↓ Predicted→YesNoPercentage with correct
Yes446440.7
No97489.2
Over all percentage61.9
Classification of subjects with bivariate regression analysis of consanguinity of marriage, age and sex with depression Classification of subjects with bivariate regression analysis of consanguinity of marriage with depression

DISCUSSION

Depression is a serious medical condition that leads to social problems as well as loss of productivity. It is generally under-diagnosed and leads to severe suffering among the subjects. The findings in this study suggest that the consanguinity of marriage has higher risk associated with depression. This is a pilot study that needs to be confirmed and extended but this investigation provided lead data on the positive relationship between consanguinity and depression. We further extending the study to further test this hypothesis with a larger sample after excluding other known factors related to depression. The high levels of depression in consanguineous marriages may be genetically driven. If so, the identification of recessive mediators of depression can lead to a number of useful mechanistic, diagnostic and therapeutic possibilities. This type of recessive gene analysis is generally difficult even with twin studies, as twins generally share traits, but they are not necessarily a product of homozygosis due to marriages between relatives. Alternatively, the social structure that leads to consanguinity can create a number of situations that lead to depression. In either event, the understanding of the higher risk of depression in consanguineous marriages can help in the prevention of or management of this serious condition.
  18 in total

Review 1.  Genetic variants in major depression.

Authors:  Jonathan Flint; Sagiv Shifman; Marcus Munafo; Richard Mott
Journal:  Novartis Found Symp       Date:  2008

2.  Consanguinity and national IQ scores.

Authors:  M Saadat
Journal:  J Epidemiol Community Health       Date:  2008-06       Impact factor: 3.710

3.  The genetics of affective disorder - a pedigree study.

Authors:  T S Rao; V S Rao; S Shivamoorthy; K Kuruvilla
Journal:  Indian J Psychiatry       Date:  1993-04       Impact factor: 1.759

4.  Neuropsychological task performance in bipolar spectrum illness: genetics, alcohol abuse, medication and childhood trauma.

Authors:  Jonathan B Savitz; Lize van der Merwe; Dan J Stein; Mark Solms; Rajkumar S Ramesar
Journal:  Bipolar Disord       Date:  2008-06       Impact factor: 6.744

5.  Tracemetals, neuromelanin and neurodegeneration: An interesting area for research.

Authors:  T S Sathyanarayana Rao; Luigi Zecca; K Jagannatha Rao
Journal:  Indian J Psychiatry       Date:  2007-07       Impact factor: 1.759

6.  Relationships between personal, depression and social network factors and sleep quality in community-dwelling older adults.

Authors:  Ke-Wu Yao; Shu Yu; Shun-Ping Cheng; I-Ju Chen
Journal:  J Nurs Res       Date:  2008-06       Impact factor: 1.682

Review 7.  Depression and cancer: recent data on clinical issues, research challenges and treatment approaches.

Authors:  Michel Reich
Journal:  Curr Opin Oncol       Date:  2008-07       Impact factor: 3.645

8.  The effect of parental consanguinity on the clinical and laboratory findings of rheumatoid arthritis.

Authors:  K Cefle; A Cefle; A Yazici; A Selek
Journal:  Int J Clin Pract       Date:  2008-04-10       Impact factor: 2.503

9.  Patients homozygous and heterozygous for SNCA duplication in a family with parkinsonism and dementia.

Authors:  Takeshi Ikeuchi; Akiyoshi Kakita; Atsushi Shiga; Kensaku Kasuga; Hiryoyuki Kaneko; Chun-Feng Tan; Jiro Idezuka; Koichi Wakabayashi; Osamu Onodera; Takeshi Iwatsubo; Masatoyo Nishizawa; Hitoshi Takahashi; Atsushi Ishikawa
Journal:  Arch Neurol       Date:  2008-04

10.  Risk factors for low birthweight in the public-hospitals at Peshawar, NWFP-Pakistan.

Authors:  Sareer Badshah; Linda Mason; Kenneth McKelvie; Roger Payne; Paulo Jg Lisboa
Journal:  BMC Public Health       Date:  2008-06-04       Impact factor: 3.295

View more
  3 in total

1.  Prospective study on prevalence and risk factors of postpartum depression in Al-dakhliya governorate in oman.

Authors:  Fatma Ibrahim Al Hinai; Saleh Saif Al Hinai
Journal:  Oman Med J       Date:  2014-05

2.  Prenatal Depression and Its Associated Risk Factors Among Pregnant Women in Bangalore: A Hospital Based Prevalence Study.

Authors:  B Sheeba; Anita Nath; Chandra S Metgud; Murali Krishna; Shubhashree Venkatesh; J Vindhya; Gudlavalleti Venkata Satyanarayana Murthy
Journal:  Front Public Health       Date:  2019-05-03

3.  Schizophrenia in identical twins.

Authors:  Choudhary Laxmi Narayan; Deep Shikha; Shivendra Shekhar
Journal:  Indian J Psychiatry       Date:  2015 Jul-Sep       Impact factor: 1.759

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.