A Retrospective Study of the Prevalence of Depression among Women Attending a Mental Health Clinic in the Niger Delta Region of Nigeria

Izibeloko Jack-ide


DOI10.21767/2471-7975.100012

Izibeloko Jack-ide*

Faculty of Nursing, Department of Mental Health, Niger Delta University, Wilberforce Island, Bayelsa, Nigeria

*Corresponding Author:
Izibeloko Jack-ide
Faculty of Nursing, Department of Mental Health, Niger Delta University, Wilberforce Island, Bayelsa, Nigeria
E-mail: izibelokojackide@ymail.com

Received date: Jan 25, 2016; Accepted date: Jan 28, 2016; Published date: Jan 31, 2016

Copyright: © 2016 Jack-ide I. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

Depressive disorder is a common cause of distress and impairment in physical, social, occupational and other important aspect of life especially among women in the Niger Delta region of Nigeria has been poorly explored. This study was designed to determine the prevalence of depression among women attending the Mental Health Clinic at the Federal Medical Center, Yenagoa, Bayelsa State. A retrospective study design was used to collect data from case files from January 2009-December 2012 of women diagnosed with depression. Result shows that prevalence of depression among women ranged from 21(24.1%) in 2009, 17(19.5%) in 2010, 16(18.4%) in 2011 and 33(37.9%) in 2012, with a mean prevalence of approximately (22%) cases of depression/year. Also, more than half (57.5%) of the women had severe form of depression, (17.2%) had moderate form of depression while (25.3%) had mild form of depression. Result from this study also revealed the highest prevalence of depression (39.1%) to be within ages 20-30. At 95% confidence interval, chi-square value of 10.230, difference (df) 8, P=0.249, there was no statistical relationship between age and form/severity of depression among women. The need for sensitization campaign by health professionals to enlighten the public is suggested.

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Keywords

Prevalence; Depression; Mental health; Mood disorder; Accessibility

Introduction

Depression is a mental health disorder characterized by a profound and persistent sadness or despair and or loss of interest in things that once were pleasurable [1]. According to Berzoff and Hayes [2], depression is a mood disorder and mood refers to the prolonged emotions that colour’s psychic life. Depressive disorders often start at a young age; they reduce people’s functioning and often are recurring [1]. Among the many mental health disorders that an individual can develop in his or her life cycle, depression has gain prominence especially in recent years [3]. For these reasons, depression is the leading cause of disability worldwide in terms of total years lost due to disability and it is predicted to be the leading cause of disease burden by 2030, and it is already the leading cause in women worldwide [4]. Depressive disorders are common in all region of the world, and can affect the outcome of common chronic conditions such as arthritis, asthma, cardiovascular diseases, cancer, diabetes, and obesity [4,5]. This increases the importance of non-communicable diseases such as depressive disorders for low income countries where only a low percentage of gross domestic products are allocated to health services [6].

Evidence show that depression has been known to impair job performance [7,8] and interferes with sleep, eat, study and enjoy activities of daily living and responsible for 48% loss of productivity time [9,10]. Despite WHO’s estimates [1] that depressive disorders will be the second leading cause of global disease burden by 2030, majority of persons affected do not have effective treatment in many developing countries. Primary care is the cornerstone of health care service but due to lack of effective and efficient management programme of depression, most of the patients are unscreened at this level [11,12]. Barriers to effective care and treatment in developing countries include the lack of resources, lack of trained professionals, and the social stigma associated with mental health disorders [1,13].

There are few studies conducted in Nigeria to assess the prevalence of depression. Yusuf and Adeoye [14] report on prevalence of depression among civil servants in Osun State showed a high prevalent among women. Also, in another study [15] of prevalence among adults in Oyo State, reported an overall prevalence of 5.2%, and that depression was prevalent among women than men (5.7% vs 4.8%), and more in rural population. Obi and colleagues [16] reported a high prevalence of depression among health workers in Enugu, South East Nigeria. Lack of studies on depression in Nigeria makes it difficult to produce empirical and statistical evidence to emphasize the magnitude of this problem locally. Women often report at the Mental Health Clinic with an advanced form of depressive disorders and in most cases with it associated disabilities. More so, despite the seriousness of the problems of depression and its consequences among women, there are limited literatures on this subject and none in Bayelsa State, Nigeria on the prevalence of depression among women. Therefore, the study aims to explore the prevalence of depression among women attending the Mental Health Clinic at the Federal Medical Centre, Yenagoa from January 2009- December 2012 [Table 1].

Variable Frequency (F) Percentage (%)
Age
20-30 34 39.1
31-40 31 35.6
41-50 12 13.8
51-60 6 6.9
61-70 4 4.6
Occupation
Housewife 3 3.4
Student 20 23.0
Civil servant 21 24.1
Farmers/fishers 10 11.5
Traders 23 26.4
Others 10 11.5
Marital status
Single 32 36.8
Married 51 58.6
Widow 4 4.6
Above shows the socio-demographic data of women that attended the Mental Health Clinic January 2009-December 2012: 34(39.1%) are 20-30years, 31(35.6%) are 31-40years, 12(13.8%) are 41-50years, 6(6.9%) are 51-60 years, while 4(4.6%) are 61-70years; 20(23.0%) are students, 21(24.1%) are civil servants, 10(11.5%) are farmers/fishers, 23(26.4%) are traders. 3(3.4%) are housewives while 10(11.5%) belong to other occupations; 32(36.8%) are single, while 51(58.6%) are married.

Table 1: Socio-demographic data (n=87).

Materials and Methods

This study is a retrospective study of women diagnosed of depression and have being receiving treatment at the Mental Health Clinic, FMC, Yenagoa from January 2009-December 2012. Patient’s case files were used to generate data for the study (Figures 1 and 2). The instrument is valid as they are patient’s case file written and kept by trained medical personnel in the hospital and the instrument is reliable as they were records kept by qualified trained health personnel and the data obtained were certified by the Chief Psychiatrist and Nursing officer in-charge. The data collected was analysed using statistical package for scientific solution (SPSS) version 17. Approval to conduct the study was given by Ethics Committee of the hospital. To maintain confidentiality names of patients and folder numbers were substituted (Tables 2 and 3).

behaviouralscience-Prevalence-depression

Figure 1: Prevalence of depression among women.

behaviouralscience-various-forms

Figure 2: Distribution of various forms of depressive disorders.

Variable Form of Depression Df X2 P-value
  Severe Moderate Mild      
Marital Status
Single 20 27 10 4 6.602 0.184
Married 2 13 11      
Widow 10 11 1      
  50 15 22      
Shows the relationship between marital status and forms of depression among women who attended the Mental Health Clinic of Federal Medical Centre Yenagoa, from January 2009-December 2012. At 95% confidence interval, chi-square value of 6.602, difference (df) 4, P=0.184, there was no statistical significant relationship between marital status and form/severity of depression among women.

Table 2: Relationship between marital status and forms of depression among women.

Variable Form of Depression Df X2 P-value
  Severe Moderate Mild      
Years
20-30 16 7 11 4 6.602 0.184
31-40 23 4 4      
41-50 6 1 5      
50-60 2 2 2      
60-70 3 1 0      
  50 15 22      

Table 3: Relationship between age and forms/severity of depression among women.

Results

Discussion

Socio-demographic data

The result show women with depression that attended and received treatment at the Mental Health Clinic from January 2009-December 2012 was eighty seven (n=87), with a mean age of 35.5 years. Most of the women (26.4%) are traders, more than half (58.6%) are married. Result from the finding shows women between their 3rd and 4th decade of life suffer from depression.

Prevalence of depression among women

The finding reveals the mean prevalence of depression among women attending the mental health clinic within the study period is 21% which is approximately 22%. The highest prevalence was observed in 2012 (37.9%) while the least was in 2011 (18.4%). The prevalence observed in this study (22%) is similar to other studies5 that reported a mean overall prevalence of 34% (range 29-66% for women). Evidence shows prevalence of depression among women to be above 30.0% [10]. This is worrisome as maternal depression may have serious consequences on children and families wellbeing.

Majority 57.5% have severe depression out of a total of 87 diagnosed cases of depression. This confirms the finding that despite the known cost effectiveness of treatment for depression, majority of people in need of care do not seeks or receives early treatment due to stigma and lack of facilities [12]. Also, it is postulated that delay in treatment of depression might reflect stigma or under-diagnosis of the disorder at an earlier stage [11]. This may explain why most of the women attending the clinic presents’ with severe depression.

Age distribution of depression among women

The finding reveal prevalence of depression was highest among women ages of 20-30years. This is similar to previous report [11] that depression is more than twice as prevalence in young women than men (ages 14-25). This finding however contrasts a higher rate of depression 14.07% in women within age 60-65 in Brazil [3]. Evidence has shown depression can occur in all age groups but may be more prevalence in the reproductive age [13].

Relationship between form of depression and marital status

At 95% confidence interval, chi-square value of 10.23, difference (df) 8, P=0.249, there were no statistical significant relationship between marital status and form/severity of depression among women. This implies that the severity of depression is not influenced by marital status, although the finding show single women had more depression than the married women and those that are divorced. This contrast a previous study that reported a higher incidence of depression among married women than the unmarried and divorced in health workers of Enugu State [16]. The finding is similar with an earlier study in Nigeria that reported significant difference in the prevalence of depression among civil servants on the basis of marital status and reported that being married insulate people from depression [14]. Also, a study conducted in an urban South India city that showed prevalence of depression was higher among divorced (26.5%) and widowed (20%) compared to married subjects (15.4%) in their study population [17].

Relationship between form of depression and age

At 95% confidence interval, chi-square value of 10.230, difference (df) 8, P=0.249, there was no statistical significant relationship between age and form/severity of depression among women. This implies that age do not determine the severity of depression although severity was highest at the end of third to fourth decade of life. Similarly, it was reported [3] that the maximum depression risk occurs at the age of 43.8 for women but did not predict severity of depression at this age.

Limitation of the Study

The study was conducted in a single unit and findings may not be transferable to the other regions of Nigeria. A further larger population survey is being advocated.

Policy Implication

Mental health policy makers and stake holders should address the plight of individuals and families living with mental illnesses, most notably how to increase access to mental health care services of sufficient quality to ensure effective treatments, both the continuity of and adherence to treatments.

Conclusion

Depression poses a substantial public health challenge, both at the social and economic levels as well as the clinical level. Barriers to effective care include the lack of resources, lack of trained providers, and the social stigma associated with mental disorders. However, evidence has shown that treating depression in primary care is feasible, affordable and cost-effective, the key interventions are treatment with generic antidepressant drugs and brief psychotherapy will improve the lives of women suffering with the disorders. On an individual, community, and national level, it is time to educate ourselves about depression and support families and people living with the disease.

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