Literature DB >> 34568127

Prevalence of contraceptive use and its association with depression among women in the Jazan province of Saudi Arabia.

Mashael Alfaifi1, Ali H Najmi2, Khadija H Swadi3, Abdullah A Almushtawi4, Sattam A Jaddoh5.   

Abstract

BACKGROUND: Hormonal contraceptives (HC) are used for birth control and the treatment of premenopausal syndrome. Mood changes represent the leading reported cause of discontinuation of HC. Changes in mood vary from mild disturbances to severe clinical depression.
OBJECTIVES: This study aims to estimate the prevalence of depression among HC users who visit primary health care centers in the Jazan Province of Saudi Arabia and to identify psycho-social factors that may predispose HC users to depression.
METHODS: A self-administered questionnaire was distributed among women who visited five primary health care centers in the Jazan Province. The survey included questions about socio-demographic information and an Arabic adaptation of the Beck Depression Inventory.
RESULTS: Among the 904 women surveyed, the prevalence of HC use was 57.3%. Mood disturbances were observed in approximately one-third of these women. There is was a significant correlation between higher depression scores and a history of depression therapy (P-value < 0.001), as moderate, severe, and extreme depression was more common in those with a history of taking depression therapy. The type of contraception used was also found to be a significant factor (P-value = 0.01) in the degree of depression.
CONCLUSION: Approximately one-third of women using HC were shown to exhibit symptoms of mood disturbance. Working, limited social support, asked whether or not they experienced living problems in the past 2 months, and having an uncomfortable or somewhat comfortable marital relationship increased the likelihood of mood disturbances. Primary health care physicians should be aware of the relatively high prevalence of mood disturbances in women using HC, to provide support and care to patients. Copyright:
© 2021 Journal of Family Medicine and Primary Care.

Entities:  

Keywords:  Contraception; depression; estrogen; hormonal contraceptives; progesterone; survey

Year:  2021        PMID: 34568127      PMCID: PMC8415675          DOI: 10.4103/jfmpc.jfmpc_1308_20

Source DB:  PubMed          Journal:  J Family Med Prim Care        ISSN: 2249-4863


Introduction

Hormonal contraceptive (HC) agents are the most widely used methods to control birth and the menstrual cycle, owing to their effectiveness and practicability.[1] They contain progestin either alone or combined with estrogen. HC drugs are available in the form of oral contraceptive pills, injections, or implants.[2] Oral forms are the first choice for American women aged 15 to 44 years.[4] In the Kingdom of Saudi Arabia (KSA), HC is used by 62.9% to 78.7% of women seeking contraception.[56] Unfortunately, HC agents are associated with some adverse effects. Among the most widely self-reported adverse effects are mood disturbances and depression,[178] which are the most common causes for discontinuing the use of HC.[91011] Depression represents an immense problem that affects a vast number of women all over the world.[12] Although a considerable percentage of women report negative mood changes during the use of HC, studies of the prevalence of mood changes and/or depression among users of HC have yielded conflicting results: Some studies reported increased negative mood changes,[131415] while others found positive effects[81617181920] and other have failed to find any significant impact.[212223242526] These inconsistencies between the different studies may be due to variations in the age of participants, lack of a valid method to detect mood changes, and non-evaluation of social circumstances. Therefore, this study aims to estimate the prevalence of depression among HC users who visited primary health care centers in the Jazan Province, KSA, and to identify psycho-social factors that may predispose HC users to depression.

Material and Methods

This is a cross-sectional study with the aim of estimating the prevalence of depression among users of hormonal contraceptives. It was conducted at five primary health care centers in Jazan Province, KSA, from August 20 to December 25, 2017. Subjects were included if they were Saudi women living in the city of Jazan, were aged 15 years or older, and had visited selected primary health care centers for routine checkups. Non-Saudi adults, children less than 15 years of age, and women who had used contraceptives for less than 3 months were excluded from the study. Written informed consent was obtained from each participant or their guardians. Maintaining confidentiality of the participants was ascertained by assigning code numbers (known to investigators only) to each participant. This study was approved by the research ethics committee of King Fahad Central Hospital in Jazan.

Settings

PHC centers were selected as the setting of the study because they are the main places where the study population would gather and they provide easy access for purposes of scientific research. Five PHC centers distributed throughout the city of Jazan were chosen, including Aldabyiah for the northern zone; North Abu-arish and Alaridah for the eastern zone; Samtha for the southern and western zones, and Mokhattat for the central zone.

Data Collection methods, instruments used, measurements

To test the validity of the questionnaire and evaluate response rate and the willingness to participate in the study, we conducted a pilot study on 100 patients, in which a structured questionnaire was used for a face-to-face interview (results summarized in Supplementary Table 1). The participants were reviewed by either a physician or a nurse. However, the response rate was very low and patients were not comfortable answering some of the questions in the presence of the health care provider. As a result, we made a change to the study design so student data collectors rather than health care providers would distribute the questionnaire to patients in the waiting area and the patient would complete the questionnaire. Data collectors were there only to answer questions the patients might have.
Supplementary Table 1

Descriptive statistics:

n MinimumMaximumMeanSth. deviation

FrequencyPercent
Marital Status
 married4998.0
 separated12.0
Smoking
 smoking12.0
 not smoking4998.0
Menstrual period
 pre1428.0
 post/men3672.0
number of children
 none36.0
 1-22346.0
 more than 32448.0
family type
 nuclear4488.0
 extended612.0
Education
 elementary24.0
 intermediate36.0
 secondary or more4590.0
labor force participation
 in1836.0
 out3264.0
household income
 very low24.0
 low612.0
 medium3468.0
 high48.0
 missing48.0
type of contraceptive
 tablet2244.0
 patch24.0
 hormonal spiral24.0
 copper spiral1020.0
 others1428.0
Duration
 more than 3 months1122.0
 more than 6 months1428.0
 1 year2244.0
 missing36.0
social support
 more social support3876.0
 less social support1224.0
living problems in the last 2 months
 yes1122.0
 no3978.0
relationship with husband
 Not comfortable/at all36.0
 Somewhat comfortable1428.0
 Comfortable/very comfortable3264.0
 missing12.0
health problem in the last 2 months
 yes2856.0
 no2244.0
 Musculoskeletal pain1224.0
 Limb pain36.0
 Back pain2040.0
 GI symptoms36.0
 Headache918.0
chronic disease in the household
 none4182.0
 1714.0
 more than 224.0
 self rated health
 very good/Good4284.0
 fair816.0
 Depression
 normal2958.0
 Mild mood disturbance1224.0
 Borderline clinical depression48.0
 moderate depression510.0
Descriptive statistics: The questionnaire was built based partially on previous studies on the development of depression among women who use HC drugs. Some of the contents were also developed by the investigators in this study [Figure 1]. The investigators, for example, added the following questions to the questionnaire to evaluate whether the duration or type of HC has any effect on depression score: 1 - How long you have been using a hormonal contraceptive? and 2 - What type of contraceptive do you use?
Figure 1

Percentage of different degree of depression in both groups

Percentage of different degree of depression in both groups The questionnaire included 36 items covering the following topics: Socio-demographic variables (age, education level, and household income), social factors (smoking, depression in the past, and social support level) and an Arabic adaptation of the Beck Depression Inventory (BDI).[27] The original questionnaire was in English; however, it was translated into Arabic and then translated back to English. Coding of the answers was conducted by the investigators [Figure 1]. The BDI is one of the most widely used self-reporting scales for depressive symptoms, and it has frequently been used to evaluate the severity of depression. The scale's format is clear, simple to administer, and easily understood by the population.[28] The consistency and validity of the BDI scale in the Arabic context has been elicited,[29] as it has been employed in various studies on the Saudi population.[293031] Each item on the scale has a score of between 0 and 3, with a maximum score on the survey of 63. Higher scores indicate more depressive symptoms. A BDI score of 17 or more means that symptoms may warrant a depression diagnosis.

Statistical analysis

Normally distributed variables were expressed as means ± standard deviation, and differences between groups were tested by a Student's unpaired T-test. Abnormally distributed variables were summarized using the median and interquartile range (25th-75th percentile), and differences were tested using the Mann-Whitney test. All numerical variables were checked for normality by the Shapiro Wilk test. Categorical variables were summarized as frequencies and percentages, and association between variables was tested using Pearson's Chi-square or Fisher-Freeman-Halton Exact tests as appropriate. A P value of < 0.05 was considered statistically significant.[32] Data analysis was carried out using SPSS version 22 and all data were analyzed anonymously.

Results

A sample of 904 women was surveyed about their use of contraception and presence of depression symptoms [Table 1]. The prevalence of contraception use was 57.3%, with 518 women using HC and 386 not using HC.
Table 1

Descriptive statistics of the socio-demographic variables and social factors of the questionnaire

FrequencyPercent
Marital Status
 married48894.2%
 separated305.8%
Smoking
 smoking438.4%
 not smoking46891.6%
Menstrual period
 pre17134.3%
 post/men32865.7%
Number of children
 none377.2%
 1 to 221441.4%
 more than 326651.5%
Family type
 nuclear39277.9%
 extended11122.1%
Education
 None234.4%
 elementary428.1%
 intermediate10620.5%
 secondary or more34767.0%
Labor force participation
 In25050.4%
 Out24649.6%
Household income
 very low255.6%
 Low4710.6%
 medium30568.5%
 High6815.3%
Type of contraceptive
 tablet22543.9%
 patch5510.7%
 needle275.3%
 hormonal spiral8616.8%
 copper spiral8216.0%
 others377.2%
Duration
 more than three months5210.4%
 more than six months8316.5%
 One year25851.4%
social support
 more social support29258.3%
 less social support20941.7%
Living problems in the last 2 months
 Yes17835.2%
 No32864.8%
relationship with husband
 Not comfortable/at all5510.8%
 Somewhat comfortable22243.6%
 Comfortable/very comfortable23245.6%
Depression therapy in the past
 Yes6312.2%
 No45287.3%
Health problem in the last 2 months
 Yes31460.7%
 No20339.3%
 Musculoskeletal pain12323.8%
 Limb pain387.3%
 Back pain16531.9%
 GI symptoms5610.8%
 Headache12724.5%
Chronic disease in the household
 None36373.6%
 One9118.5%
 more than 2397.9%
Self-rated health
 very good/Good38074.1%
 Fair12324.0%
 poor/very poor101.9%
Depression
 Normal22844.0%
 Mild mood disturbance11221.6%
 Borderline clinical depression417.9%
 moderate depression8215.8%
 severe depression397.5%
 extreme depression163.1%
Descriptive statistics of the socio-demographic variables and social factors of the questionnaire The mean age of the participants was 31.6 (SD ± 6.7). 94.2% of participants were married and only 5.8% were separated. Only 30 participants (5.8%) indicated that they were smokers. In terms of the menstrual cycle, 34.3% of participants were premenstrual while 65.7% were menstrual or postmenstrual at the time of the survey. Only 7.2% of participants had no children, while 41.4% had one or two children, and 51.5% had three or more children. The participant's family type was nuclear in 77.9% of cases and extended in 22.1%. In terms of educational history, 4.4% of participants had received no education; 8.1% had received elementary education; 20.5% had received intermediate education; and 67% had received secondary education or above. Almost half of the participants were in the labor force. Regarding income, 68.5% of family participants earned a mild-range income, 5.6% earned a very low income, 10.6% earned a low income, and 15.3% earned a high income. For the type of contraception used, 44% of participants were using tablets, 10.7% were using patches, 5.3% were using needles (injections), 16.8% were using hormonal spirals, 16% were using copper spirals, and 7.2% were using other types. The duration of contraception varied among participants, with 51.4% having used contraception for more than one year, 16.5% having used it for between 6 months and one year, and 10.4% having used it for less than three months Table 3.
Table 3

Comparison between women using contraceptive therapy versus non users and prevalence of depression

DepressionTotal P

NormalMild mood disturbanceBorderline clinical depressionModerate depressionSevere depressionExtreme depression
GroupUsing contraceptiveCount22811241823916518<0.001*
% within group44.0%21.6%7.9%15.8%7.5%3.1%100.0%
Not using contraceptiveCount267671822102386
% within group69.2%17.4%4.7%5.7%2.6%0.5%100.0%
Degree of depression is compared across various factors Comments/abbreviations: GI=Gastrointestinal. *indicates statistically significant results with a P<0.05 Comparison between women using contraceptive therapy versus non users and prevalence of depression Regarding social support, can be formal or informal. The former represents government help; the latter is offered by family members, friends or neighbors. Formal support was weak or nonexistent for most subjects we surveyed; for example, casual laborers have no unemployment or retirement benefits. We find that 58.3% of participants had more social support, and 41.7% had less social support. Only 35.2% mentioned that they asked whether or not they experienced living problems in the past 2 months. The participant's marital relationship was not comfortable at all in 10.8% of patients, somewhat comfortable in 43.6% of patients, and comfortable to very comfortable in 45.6% of patients. 12.2% of participants answered that they had received depression therapy in the past. More than half of the participants (60.7%) said that they had had health problems in the past two months. The most common complaint was back pain, which was found in 32% of participants, followed by headache (24.5%), muscle pain (23.8%), and gastrointestinal tract symptoms (10.8%), and limb pain (7.3%). 18.5% of participants had one chronic disease in the household, while 7.9% said that they had more than two chronic diseases in the household. 1.9% of the participants self-rated their health as poor or very poor, 24% self-rated their health as fair, and 74.1% self-rated their health as good, and 21.6% self-rated their health as very good. Of the participants who had mild mood disturbance, 7.9% had borderline clinical depression, 15.8% had moderate depression, 7.5% had severe depression, 3.1% had extreme depression, and 44% were regular. The degree of depression was compared across various factors using a Chi-square test Table 2. There was a significant difference in the degree of depression based on marital status (p-value = 0.005). Cases of moderate, severe, and extreme depression were more common in participants who were separated than in those who were married. Similarly, more cases of moderate, severe, and extreme depression were observed in subjects with the following characteristics: Smokers, limited educational level, extended family type, very low or low-income, history of receiving depression therapy, and out of the labor force. Moreover, there was a statistically significant difference in the degree of depression based on the type of contraception used, contraception duration, difference in the social support received, and the presence of health problems in the last two months.
Table 2

Degree of depression is compared across various factors

IndependentVariablesN%DepressionTotal P

NormalMild mood disturbanceBorderline clinical depressionModerate depressionSevere depressionExtreme depression
Marital StatusmarriedCount223106397135144880.005*
% of Marital Status45.7%21.7%8.0%14.5%7.2%2.9%100.0%
separatedCount562114230
% of Marital Status16.7%20.0%6.7%36.7%13.3%6.7%100.0%
SmokingsmokingCount9331212443<0.001*
% of Smoking20.9%7.0%7.0%27.9%27.9%9.3%100.0%
not smokingCount21710838692412468
% of Smoking46.4%23.1%8.1%14.7%5.1%2.6%100.0%
Menstrual periodpreCount684710331031710.036*
% within a Menstrual period39.8%27.5%5.8%19.3%5.8%1.8%100.0%
post/MenstrualCount1555829472613328
% within a Menstrual period47.3%17.7%8.8%14.3%7.9%4.0%100.0%
number of childrennoneCount1753471370.260
% within a number of children45.9%13.5%8.1%10.8%18.9%2.7%100.0%
1-2Count96511928137214
% within number of children44.9%23.8%8.9%13.1%6.1%3.3%100.0%
more than 3Count114561950198266
% within number of children42.9%21.1%7.1%18.8%7.1%3.0%100.0%
family typenuclearCount186863361224392<0.001*
% within family type47.4%21.9%8.4%15.6%5.6%1.0%100.0%
extendedCount36238201311111
% within the family type32.4%20.7%7.2%18.0%11.7%9.9%100.0%
EducationnoneCount921641230.004*
% within Education39.1%8.7%4.3%26.1%17.4%4.3%100.0%
elementaryCount126499242
% within Education28.6%14.3%9.5%21.4%21.4%4.8%100.0%
intermediateCount522321973106
% within Education49.1%21.7%1.9%17.9%6.6%2.8%100.0%
secondary or moreCount1558134481910347
% within Education44.7%23.3%9.8%13.8%5.5%2.9%100.0%
labor force participationinCount1314916301862500.013*
% of labor force participation52.4%19.6%6.4%12.0%7.2%2.4%100.0%
outCount896022461910246
% of labor force participation36.2%24.4%8.9%18.7%7.7%4.1%100.0%
household incomevery lowCount1143421250.048*
% within household income44.0%16.0%12.0%16.0%8.0%4.0%100.0%
lowCount17121125047
% of household income36.2%25.5%2.1%25.5%10.6%0.0%100.0%
mediumCount151782232184305
% of household income49.5%25.6%7.2%10.5%5.9%1.3%100.0%
highCount3910981168
% of household income57.4%14.7%13.2%11.8%1.5%1.5%100.0%
depression therapy in the pastyesCount115319141163<0.001*
% within depression therapy in the past17.5%7.9%4.8%30.2%22.2%17.5%100.0%
noCount2161073861255452
% within depression therapy in the past47.8%23.7%8.4%13.5%5.5%1.1%100.0%
type of contraceptivetabletCount7951264117112250.011*
% within the type of contraceptive35.1%22.7%11.6%18.2%7.6%4.9%100.0%
patchCount2517382055
% within type of contraceptive45.5%30.9%5.5%14.5%3.6%0.0%100.0%
needleCount123154227
% within the type of contraceptive44.4%11.1%3.7%18.5%14.8%7.4%100.0%
hormonal spiralCount38205146386
% of the type of contraceptive44.2%23.3%5.8%16.3%7.0%3.5%100.0%
copper spiralCount4718476082
% within type of contraceptive57.3%22.0%4.9%8.5%7.3%0.0%100.0%
othersCount252244037
% within type of contraceptive67.6%5.4%5.4%10.8%10.8%0.0%100.0%
how longless than three monthsCount3185440520.001*
% of how long59.6%15.4%9.6%7.7%7.7%0.0%100.0%
more than three monthsCount39214171183
% of how long47.0%25.3%4.8%20.5%1.2%1.2%100.0%
more than six monthsCount1056014382813258
% of how long40.7%23.3%5.4%14.7%10.9%5.0%100.0%
1 yearCount4319182162109
% of how long39.4%17.4%16.5%19.3%5.5%1.8%100.0%
social supportmore social supportCount158672232103292<0.001*
% of social support54.1%22.9%7.5%11.0%3.4%1.0%100.0%
less social supportCount634219462613209
% of social support30.1%20.1%9.1%22.0%12.4%6.2%100.0%
living problems in the last two monthsyesCount424517422012178<0.001*
% of living problems in the last two months23.6%25.3%9.6%23.6%11.2%6.7%100.0%
noCount180622439194328
% of living problems in the last two months54.9%18.9%7.3%11.9%5.8%1.2%100.0%
relationship with husbandNot comfortable/at allCount7931615555<0.001*
% within a relationship with husband12.7%16.4%5.5%29.1%27.3%9.1%100.0%
Somewhat comfortableCount76552747116222
% within a relationship with husband34.2%24.8%12.2%21.2%5.0%2.7%100.0%
Comfortable/very comfortableCount143481116104232
% within the relationship with husband61.6%20.7%4.7%6.9%4.3%1.7%100.0%
a health problem in the last two monthsyesCount966434693615314<0.001*
% of the health problem in the last two months30.6%20.4%10.8%22.0%11.5%4.8%100.0%
noCount1314871331203
% of a health problem in the last two months64.5%23.6%3.4%6.4%1.5%0.5%100.0%
Musculoskeletal painyesCount40338281131230.027*
% of Musculoskeletal pain32.5%26.8%6.5%22.8%8.9%2.4%100.0%
noCount1877933542813394
% of Musculoskeletal pain47.5%20.1%8.4%13.7%7.1%3.3%100.0%
Limb painyesCount9122555380.001*
% of Limb pain23.7%31.6%5.3%13.2%13.2%13.2%100.0%
noCount21910039773411480
% of Limb pain45.6%20.8%8.1%16.0%7.1%2.3%100.0%
Back painyesCount52371841116165<0.001*
% of Back pain31.5%22.4%10.9%24.8%6.7%3.6%100.0%
noCount1767523412810353
% of Back pain49.9%21.2%6.5%11.6%7.9%2.8%100.0%
GI symptomsyesCount912101411056<0.001*
% of GI symptoms16.1%21.4%17.9%25.0%19.6%0.0%100.0%
noCount21910031682816462
% of GI symptoms47.4%21.6%6.7%14.7%6.1%3.5%100.0%
A headacheyesCount32291628166127<0.001*
% of Headache25.2%22.8%12.6%22.0%12.6%4.7%100.0%
noCount1968325542310391
% of Headache50.1%21.2%6.4%13.8%5.9%2.6%100.0%
chronic disease in the house holdnoneCount180793348167363<0.001*
% of chronic disease in the house hold49.6%21.8%9.1%13.2%4.4%1.9%100.0%
oneCount31235207591
% of chronic disease in the household34.1%25.3%5.5%22.0%7.7%5.5%100.0%
more than 2Count673712439
% of chronic disease in the household15.4%17.9%7.7%17.9%30.8%10.3%100.0%
self-rated healthvery good/GoodCount205773542147380<0.001*
% within the self-rated health53.9%20.3%9.2%11.1%3.7%1.8%100.0%
fairCount2233635207123
% within the self-rated health17.9%26.8%4.9%28.5%16.3%5.7%100.0%
poor/very poorCount00035210
% within self rated health0.0%0.0%0.0%30.0%50.0%20.0%100.0%

Comments/abbreviations: GI=Gastrointestinal. *indicates statistically significant results with a P<0.05

We have also studied the prevalence of various degrees of depression in those who are not using hormonal contraception. When comparing the two groups, there was a statistically significant difference, with a P value <0.001, indicating more cases of depression in HC users. The degree of depression is compared across various factors using a Chi-square test Table 3.

Discussion

This study was conducted to estimate the prevalence of contraceptive use and its association with depression among women in the city of Jazan, KSA, and to identify psycho-social factors that may predispose HC users to depression. Many studies have described the prevalence of contraceptive use in KSA.[56] However, to the best of the authors’ knowledge, this is the first study to assess HC-associated mood changes in KSA. We found the prevalence of use of contraception was 57.3% and more than half of the HC user suffered from mood disturbances. The highest prevalent was mild mood change (21.6%), while the least prevalent was severe or extreme mood disturbance (7.5% and 3.1%, respectively). The overall prevalence of clinical depression in our study was 43.3% of the respondents. This prevalence is similar to those reported in Norwegian (24%)[33] and Australian women (30%).[34] However, lower prevalence rates (10.3%-16.5%) were reported by other studies of the general female population.[12] Among HC users, even lower rates (4–10%) of depressive symptoms have been recorded.[916] Major depressive disorder is the second leading cause of health-related disability in women. Women usually present a higher prevalence of depression compared to men.[1234] Studies have attributed the negative mood changes in HC users to the progesterone content of HC and positive mood changes to estrogen.[19] Increases in progesterone are thought to be one of the causes of low mood experienced after child birth.[33] Hence, the risk of mood disorder is lower among combined contraceptive users.[29] Also, the effect of HC agents on mood may occur through psychological rather than pharmacological influence.[27] In the present study, mood disturbances were significantly associated with less social support, existence of a living problem in the last 2 months, an uncomfortable marital relationship, and type of contraceptive. About 65% of tablet users had a mood disturbance, while 55% of hormonal spiral users had a mood disturbance. Another study showed only a minimal association between mood and current use of the LNG-IUS (Levonorgestrel Intrauterine System).[1] History of depression was associated with mood changes in respondents. On the other hand, HC was reported to produce mood changes only in women with a history of depression.[26] Contraceptive-induced mood changes were postulated to affect vulnerable women,[24] Akın et al.[21] stated that living in an extended family, increase labor force, history of depression, and smoking were risk factors for depression. Analogous risk factors for depression were also reported by studies conducted on the general female population, not considering their use of HC. Saab et al. found that psychologically distressed women had more children, less education, lower income, less social support, an uncomfortable marital relationship, and participated in the labor force. Our study was subject to several limitations. This is a cross-sectional study which does not allow for determining causation. The data collected from the questionnaire was self-reported and we cannot rule out recall bias, inaccuracy, lack of patient understanding of some questions, or limited patient knowledge. This study was conducted in one region and mainly at large outpatient clinics. We cannot determine from this study whether the addition of rural areas or smaller clinics would have affected the results. This study had some points of strength including the use of a valid and reliable scale (namely the BDI scale) to assess mood changes and their severity in respondents. The study was conducted in 5 main primary care centers with a reasonable sample size. History of depression was evaluated, and women of different age groups were included to fill the gap in knowledge in previous studies on the same subject.

Conclusion

Mood disturbances affected more than half of women using different types of contraceptives included HC type which accounted for thirty-eight percent. The factors that significantly increased the likelihood of having mood disturbances included working, having less social support, having had a living problem in the last 2 months, and having an uncomfortable or somewhat comfortable marital relationship. Contraceptive tablets was associated with a significant increased in mood disturbance compared to other types of HC forms, such as needles, hormonal spirals, and cooper spirals. Health education should be delivered to women at risk. Primary health care physicians and family medicine physicians should be aware of the relatively high prevalence of mood disturbances, and pharmacist counseling regarding contraceptive drugs should be incorporated to provide support and care to patients in need.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent forms. In the form the patient(s) has/have given his/her/their consent for his/her/their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.

Financial support and sponsorship

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Conflicts of interest

There are no conflicts of interest.
IndependentVariablesN%depressionTotal P

normalMild mood disturbanceBorderline clinical depressionmoderate depression
number of childrennoneCount300030.74
% within number of children100.0%0.0%0.0%0.0%100.0%
1-2Count1361323
% within number of children56.5%26.1%4.3%13.0%100.0%
more than 3Count1363224
% within number of children54.2%25.0%12.5%8.3%100.0%
family typenuclearCount251045440.67
% within family type56.8%22.7%9.1%11.4%100.0%
extendedCount42006
% within family type66.7%33.3%0.0%0.0%100.0%
EducationelementaryCount200020.67
% within Education100.0%0.0%0.0%0.0%100.0%
intermediateCount30003
% within Education100.0%0.0%0.0%0.0%100.0%
secondary or moreCount24124545
% within Education53.3%26.7%8.9%11.1%100.0%
labor force participationinCount13311180.50
% within labor force participation72.2%16.7%5.6%5.6%100.0%
outCount1693432
% within labor force participation50.0%28.1%9.4%12.5%100.0%
household incomevery lowCount100120.00
% within household income50.0%0.0%0.0%50.0%100.0%
lowCount24006
% within household income33.3%66.7%0.0%0.0%100.0%
mediumCount2472134
% within household income70.6%20.6%5.9%2.9%100.0%
highCount20204
% within household income50.0%0.0%50.0%0.0%100.0%
depression therapy in the pastyesCount010120.15
% within depression therapy in the past0.0%50.0%0.0%50.0%100.0%
noCount29114448
% within depression therapy in the past60.4%22.9%8.3%8.3%100.0%
type of contraceptivetabletCount6844220.03
% within type of contraceptive27.3%36.4%18.2%18.2%100.0%
patchCount11002
% within type of contraceptive50.0%50.0%0.0%0.0%100.0%
Count11002
hormonal spiral% within type of contraceptive50.0%50.0%0.0%0.0%100.0%
Count720110
copper spiral% within type of contraceptive70.0%20.0%0.0%10.0%100.0%
Count1400014
% within type of contraceptive100.0%0.0%0.0%0.0%100.0%
Durationmore than 3 monthsCount6401110.39
% within how long54.5%36.4%0.0%9.1%100.0%
more than 6 monthsCount930214
% within how long64.3%21.4%0.0%14.3%100.0%
1 yearCount1254122
% within how long54.5%22.7%18.2%4.5%100.0%
living problems in the last 2 monthsyesCount2414110.00
% within living problems in the last 2 months18.2%36.4%9.1%36.4%100.0%
noCount2783139
% within living problems in the last 2 months69.2%20.5%7.7%2.6%100.0%
relationship with husbandNot comfortable/at allCount201030.03
% within relationship with husband66.7%0.0%33.3%0.0%100.0%
Somewhat comfortableCount453214
% within relationship with husband28.6%35.7%21.4%14.3%100.0%
Comfortable/very comfortableCount2370232
% within relationship with husband71.9%21.9%0.0%6.3%100.0%
health problem in the last 2 monthsyesCount11944280.02
% within health problem in the last 2 months39.3%32.1%14.3%14.3%100.0%
noCount1830122
% within health problem in the last 2 months81.8%13.6%0.0%4.5%100.0%
Musculoskeletal painyesCount5511120.42
% within Musculoskeletal pain41.7%41.7%8.3%8.3%100.0%
noCount2473438
% within Musculoskeletal pain63.2%18.4%7.9%10.5%100.0%
Limb painyesCount120030.34
% within Limb pain33.3%66.7%0.0%0.0%100.0%
noCount28104547
% within Limb pain59.6%21.3%8.5%10.6%100.0%
Back painyesCount9434200.09
% within Back pain45.0%20.0%15.0%20.0%100.0%
noCount2081130
% within Back pain66.7%26.7%3.3%3.3%100.0%
GI symptomsyesCount011130.10
% within GI symptoms0.0%33.3%33.3%33.3%100.0%
noCount29113447
% within GI symptoms61.7%23.4%6.4%8.5%100.0%
HeadacheyesCount332190.23
% within Headache33.3%33.3%22.2%11.1%100.0%
noCount2692441
% within Headache63.4%22.0%4.9%9.8%100.0%
self rated healthvery good/GoodCount28734420.02
% within self rated health66.7%16.7%7.1%9.5%100.0%
fairCount15118
% within self rated health12.5%62.5%12.5%12.5%100.0%
IndependentVariablesdepressionTotalP
normalMild mood disturbanceBorderline clinical depressionmoderate depression
Groupusing contraceptiveCount291245500.00
% within Group58.0%24.0%8.0%10.0%100.0%
not using contraceptiveCount4730050
% within Group94.0%6.0%0.0%0.0%100.0%
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