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Open Access Journal of Contraception logoLink to Open Access Journal of Contraception
. 2018 Jan 25;9:21–28. doi: 10.2147/OAJC.S154733

Domestic violence: a hidden barrier to contraceptive use among women in Nigeria

Ghose Bishwajit 1,, Sanni Yaya 1
PMCID: PMC5804016  PMID: 29440938

Abstract

Background

The nonuse of family planning methods remains a major public health concern in the low-and-middle-income countries, especially due to its impact on unwanted pregnancy, high rate of abortion, and transmission of sexually transmitted diseases. Various demographic and socioeconomic factors have been reported to be associated with the nonuse of family planning methods. In the present study, we aimed at assessing the influence of domestic violence (DV) on contraceptive use among ever married women in Nigeria.

Methods

Data on 22,275 women aged between 15 and 49 years were collected from the most recent Nigeria Demographic and Health Survey conducted in 2013. The outcome variable was contraceptive utilization status, and the main exposure variable was DV, which was assessed by the self-reported experience of physical and psychological abuse. Complex survey method was employed to account for the multistage design of the survey. Data analyses were performed by using bivariate and multivariable techniques.

Results

The mean age of the participants was 31.33±8.26. More than four fifths (84%) of the participants reported that they were not using any contraceptive methods at all. Lifetime prevalence of psychological and physical abuse was, respectively, 19.0% (95% CI =18.0–20.1) and 14.1% (95% CI =13.3–14.9). Women who reported physical abuse were 28% (adjusted odds ratio [AOR] =1.275; 95% CI =1.030–1.578), and those reported both physical and psychological abuse had 52% (AOR =1.520; 95% CI =1.132–2.042) higher odds of not using any contraception.

Conclusion

The rate of contraception nonuse was considerably high and was found to be significantly associated with DV. Thus, the high prevalence of DV may compromise the effectiveness of the family planning programs in the long run. Evidence-based intervention strategies should be developed to protect the health and reproductive rights of the vulnerable women and to reduce DV by giving the issue a wider recognition in public policy making.

Keywords: contraceptive non-use, demographic and health survey, spousal violence, physical abuse, psychological abuse

Introduction

Family planning programs constitute a crucial public health component in terms of offering the services and commodities, including contraceptives, which enable communities to achieve their reproductive goals such as planned pregnancy, birth spacing, and maintaining desired number of children, to name a few. In the low-and-middle-income-countries, which account for almost all maternal and infant mortalities in the world,1 optimum utilization of family planning services is regarded as a pivotal strategy for attaining the sustainable development goals.2 Adoption of family planning/contraceptive methods has proven to be highly beneficial for tackling the burden of unintended and unwanted pregnancies and unsafe abortions and for preventing the transmission of HIV/AIDS and other sexually transmitted diseases (STDs).36 Apart from decreasing the risk of exposure to high-risk births, unwanted pregnancies, and STDs, contraception is also regarded as a key to broader demographic, socioeconomic, and environmental goals, especially in countries facing sustainability challenges owing to high fertility rates.7

The demography of Nigeria, currently the most populous country in Africa, is characterized by high total fertility and maternal and child mortality rates. Since the introduction of the first population policy in 1988 with an explicit aim to curb fertility rate (from six children/family to an average of 4 children/family),8 there has been an increased emphasis on family planning programs throughout the country. However, according to recent statistics, the total fertility rate is still very high (5.5% as of 2013) with an alarmingly high prevalence of unsafe abortion and maternal mortality in the country.9 Evidence suggests that over a quarter (25%–35%) of the global maternal deaths could have been averted through universal access and adequate use of contraceptives.10 Despite these persistent challenges and well-documented benefits of contraceptive methods, the prevalence of nonuse remains considerably low in Nigeria, which is to a certain degree reflected through the high unwanted pregnancy and maternal and child mortality rates.11,12

There is a growing volume of studies on family planning demonstrating the influence of various individual, familial, geographic, sociocultural, and health care system-induced factors on the nonutilization and suboptimal utilization of contraceptive methods. Appreciable progress has been achieved to address the physical barriers to the uptake of contraceptive services. However, in many instances, more complex issues contextual to the native sociocultural structure, which are usually less responsive to the intervention strategies such as gender discrimination13 and domestic violence14 (DV; also known as intimate partner violence [IPV] or abuse) lie behind the direct physical factors. While both men and women can be the subject of DV, in most cases its woman who are perpetrated, and the scope of the present study was also limited male-to-female type of violence only.

The definition of men-to-women violence can differ substantially depending on the contexts; however, according to the most widely accepted definition by World Health Organization, it refers to “the range of sexually, psychologically and physically coercive acts used against adult and adolescent women by a current or former male partner.”15 Violence against women is a global issue that compromises their human rights, health, well-being, and the quality of life. No doubt the topic has emerged as a major theme in international conferences and attracted many policy and programmatic interventions. In spite of these efforts, DV is still rampant and continues to affect millions of lives worldwide to which Nigeria is no exception. According to recent estimates, DV is a widespread phenomenon in the country with its prevalence ranging from 17% to 78.8%.16 Current medical literature provides ample evidence on the impacts of DV on women’s reproductive health outcomes.1719 However, that on the use of family planning/contraceptive use is rather scarce in Nigeria. Therefore, the present study was conducted with the objectives of providing updates on the situation of contraceptive use and DV and their correlation among ever married women in Nigeria. Country representative primary data on social issues are hard to achieve for countries with poor research infrastructure; therefore, we sourced the already-published data from Measure DHS, which is available for free to researchers. Although the data are secondary and cross-sectional in nature, it is expected that the findings of the present study will facilitate informed policy action aimed at addressing DV-related barriers to contraceptive use among Nigerian women.

Conceptual framework

DV is a complex social construct that can result as interplay between individual- and community-level factors with sociocultural norms and values and political priorities of the population. Regardless of the exact cause or origin, DV can pose serious obstacles to contraceptive use through several direct and indirect pathways. Direct pathways can include physical mutilation that results in reduced ability to access the available services. Depression, poor self-efficacy and self-esteem, and care-seeking behavior are among the indirect causes. DV can also impact the extent to which a woman can exercise her role or decide her health care priorities. A healthy spousal relation sets the basis for effective communication and understanding of each other’s physical and psychological needs as well as joint decision making on their reproductive goals. Form this viewpoint, DV can also cause (or result from) power imbalance with a subsequent reduction in autonomy to effectively communicate her preferences.20 To calculate the independent association between DV and contraceptive use, we adjusted the analysis for variables that are conceptually relevant to the variables of interest. For instance, the accessibility and utilization of contraceptive methods can be influenced by various sociodemographic factors such as age, area of residence, and religious affiliation. Contraceptive use as an indicator of health literacy and behavior can vary substantially among individuals depending on the degree of educational attainment as well as financial capacity. From the perspective of gender equity, the sex of household head can play crucial roles on women’s experience of DV and so can have decision making autonomy on the access to and utilization of reproductive health care services.

Methods

Survey and sampling design

Nigeria Demographic and Health Survey (NDHS) 2013 was the fourth round of DHS survey in Nigeria, which was implemented by the National Population Commission with the financial and technical assistance by ICF International provisioned through the United States Agency for International Development-funded MEASURE DHS program. DHS surveys are national representatives that collect information on a wide range of public health-related topics such as anthropometric, demographic, and socioeconomic factors; family planning; and DV. The survey covered men and women aged between 15 and 49 years and under-5 children residing in noninstitutional settings. For sampling, a three-staged stratified cluster design was employed, which was based on a list of enumeration areas (EAs) from the 2006 Population Census of the Federal Republic of Nigeria. EAs are systematically selected units from the localities, which constitute the local government areas (LGAs). LGAs are subdivisions of each of the 36 administrative states (including the Federal Capital Territory called Abuja) and classified under six developmental zones in the country. EAs were used to form the survey clusters called primary sampling units. NDHS 2013 consisted of 904 clusters (372 in urban areas and 532 in rural areas) encompassing a total of 40,320 households from which 38,948 women were successfully interviewed with a response rate of 98%. Fieldwork lasted from February 15, 2013, to the end of May of the same year and was carried out by 36 interviewing teams in each state plus one in the Federal Capital Territory of Abuja. A more detailed version of the survey was published elsewhere.21

Variables

The outcome variable was self-reported contraceptive utilization status. Respondents were asked whether they are currently using contraception. The options for answer were “yes” or “No.” Those who commented “don’t know” were also categorized as “no.”

The explanatory variable of focus was DV, which was assessed by the responses to a set of questions on physical and psychological abuse. For psychological abuse, the following four aspects were taken into consideration: 1) ever been humiliated by husband/partner; 2) ever been threatened with harm by husband/partner; 3) ever been insulted or made to feel bad by husband/partner; and 4) experienced any emotional violence. The following three were used to proxy for physical abuse: 1) ever been pushed, shook, or had something thrown by husband/partner; 2) ever been slapped by husband/partner; and 3) ever been punched with fist or hit by something harmful by husband/partner.

A set of confounding variables were included in the analysis as well based on their relevance in light of previous studies such as age, religious affiliation, the type of residency, educational attainment, wealth status of households, sex of household head, and having decision making autonomy on own health care. Table 1 describes these variables.

Table 1.

Description of the sample population (NDHS 2013)

Variables Description n (22,275) %
Age (mean/SD) (31.33/8.26)
15–19 Age of the respondent in the interview year 1665 7.5
20–24 3573 16.0
25–29 4836 21.7
30–34 3974 17.8
35–39 3321 14.9
40–44 2480 11.1
45–49 2426 10.9
Residency type Whether the respondent is a rural or urban resident
Urban 8128 36.5
Rural 14,147 63.5
Religion Type of religious affiliation
Christian 11,732 52.7
Islam 10,195 45.8
Other 348 1.6
Educational attainment Highest level of formal education attained by the respondent
Nil 9417 42.3
Primary 4659 20.9
Secondary 6340 28.5
Higher 1859 8.3
Employed Current employment status for payment
No 6464 29.0
Yes 15,811 71.0
Wealth index Index of relative wealth status of households based on the possession of durable goods (eg, refrigerator and TV) and building material (eg, concrete and wooden), rather than personal income
Poorest 4397 19.7
Poorer 4679 21.0
Middle 4404 19.8
Richer 4448 20.0
Richest 4347 19.5
Sex of household head Sex of the person responsible for managing the household and making key decisions
Male 19,231 86.3
Female 3044 13.7
Decision maker for own health care Whether the respondent can make her health care decisions independently, or jointly with husband, or has no say at all
Respondent alone 1392 6.6
Respondent and husband/partner 7274 34.7
Husband alone/other 12,217 58.7

Abbreviation: NDHS, Nigeria Demographic and Health Survey.

Analytical procedure

As deemed necessary for complex survey designs, the data set was first converted to a plan file by adjusting for the sampling strata, primary sampling unit, and sampling weight. As the initial analysis, the basic sociodemographic characteristics of the participants were presented in terms of frequencies and percentages. Following descriptive analysis, χ2 tests were performed to check for the significant associations between the explanatory variables and use of contraception. Variables that were found to be significantly associated in the χ2 tests (at p<0.25) were selected for final regression analysis.22 In the final step, binary logistic regression model was used to calculate the odds ratios (OR) of the associations between contraceptive use and two types of DV. Contraceptive use status was modeled as a function of the two types of DV (physical and psychological) and was estimated by binary logistic regression, while adjusting for various demographic and socioeconomic parameters that were found (based on literature review) empirically and theoretically pertinent to the outcome and exposure variables. The results of regression analysis were presented as ORs along with their 95% CIs as an indicator of significance as well as the precision of the OR values. For all associations, p-value of <0.05 was considered statistically significant. All the analyses were performed with SPSS Version 24 (IBM Corporation, Armonk, NY, USA).

Ethical approval

The protocol of DHS surveys was approved by the Ethics Committee of ORC Macro (Macro International Inc.). The study was based on the analysis of anonymized secondary data available in the public domain of DHS; therefore, no additional approval was necessary. However, the approval for the reuse of the data was obtained by authors from DHS.

Results

Descriptive statistics

In total, 22,275 ever married women aged between 15 and 49 years (mean age of 31.33 years) were included in this study. Table 1 displays the basic demographic and socioeconomic characteristics of the participants. As Table 1 indicates, above one fifth (21.7%) of the participants were in the age-group of 25–29 years, about two thirds were of rural residents, and about half were followers of Christian faith (52.7%). The percentage of women who had no formal education was 42.3, and percentages of primary- and secondary-level completion rate were, respectively, 20.9 and 28.5. The rate of current employment was 71%. About two fifths of the women were living in the poorer–poorest households and less than a fifth in the richest. A vast majority of the households were male-headed (86.3%), and only 6.6% of the women had the autonomy of deciding on their health care.

Bivariate association between contraceptive utilization status and sociodemographic parameters

The overall prevalence of contraceptive use among the participants was 16% (95% CI =15.2–17.0). χ2 tests of independence were conducted to assess the bivariate relationship between contraceptive use and the sociodemographic factors. Table 2 indicates that the likelihood of using contraceptive was highest among women aged between 30 and 34 years, being urban residents, being followers of Christian faith, having secondary school qualification, not employed, living in the richer–richest and male-headed households, and making decision on health jointly with husbands/partners.

Table 2.

Basic characteristics of the sample population stratified by contraception use status (NDHS 2013)

Variables (mean, SD) Nonuser (84%) User (16%) p-value
Age 0.003
15–19 9.5 (8.8, 10.2) 1.1 (0.8, 1.6)
20–24 17.6 (16.9, 18.3) 10.2 (9.1, 11.4)
25–29 21.9 (21.1, 22.6) 21.9 (20.3, 23.7)
30–34 16.7 (16.1, 17.4) 23.1 (21.5, 24.9)
35–39 13.5 (12.9, 14.1) 20.3 (18.6, 22.0)
40–44 10.0 (9.6, 10.5) 15.3 (14.0, 16.8)
45–49 10.8 (10.2, 11.4) 8.0 (6.9, 9.2)
Residency type <0.001
Urban 33.5 (31.7, 35.3) 65.0 (61.5, 68.4)
Rural 66.5 (64.7, 68.3) 35.0 (31.6, 38.5)
Religious affiliation <0.001
Christian 35.7 (33.6, 37.9) 75.6 (72.7, 78.4)
Islam 62.6 (60.3, 64.8) 23.4 (20.7, 26.3)
Other 1.7 (1.3, 2.3) 1.0 (0.7, 1.5)
Educational attainment <0.001
Nil 51.6 (49.5, 53.7) 7.5 (6.4, 8.8)
Primary 18.7 (17.6, 19.8) 24.1 (21.9, 26.5)
Secondary 23.7 (22.3, 25.1) 50.9 (48.2, 53.7)
Higher 6.1 (5.4, 6.8) 17.4 (15.2, 19.9)
Employed <0.001
No 32.6 (31.1, 34.0) 15.5 (13.7, 17.4)
Yes 67.4 (66.0, 68.9) 84.5 (82.6, 86.3)
Wealth index <0.001
Poorest 24.6 (22.2, 27.1) 2.2 (1.6, 3.1)
Poorer 23.3 (21.8, 25.0) 6.4 (5.1, 8.0)
Middle 18.9 (17.5, 20.4) 16.0 (13.9, 18.3)
Richer 17.4 (16.1, 18.7) 28.9 (26.3, 31.6)
Richest 15.8 (14.5, 17.2) 46.5 (43.0, 50.0)
Sex of household head <0.001
Male 87.9 (87.1, 88.6) 84.9 (83.2, 86.4)
Female 12.1 (11.4, 12.9) 15.1 (13.6, 16.8)
Decision maker for own health care <0.001
Respondent alone 5.1 (4.6, 5.5) 13.4 (11.8, 15.3)
Respondent and husband/partner 30.1 (28.8, 31.5) 55.9 (53.6, 58.2)
Husband alone/other 64.5 (63.0, 66.0) 30.7 (28.4, 32.4)

Abbreviation: NDHS, Nigeria Demographic and Health Survey.

Table 3 presents the prevalence of the individual types of physical and psychological abuse. The combined prevalence of physical abuse was 14.1% (95% CI =13.3–14.9), and that of psychological abuse was 19.0% (95% CI =18.0–20.1).

Table 3.

Prevalence of ever experiencing psychological and physical violence by partners/husbands (NDHS 2013)

Type of IPV Categories Individual prevalence (95% CI) Combined prevalence (95% CI)
Psychological Ever been humiliated by husband/partner 10.8 (10.1–11.5) 19.0 (18.0–20.1)
Ever been threatened with harm by husband/partner 5.9 (5.4–6.5)
Ever been insulted or made to feel bad by husband/partner 15.2 (14.4–16.1)
Experienced any emotional violence 19.0 (18.0–20.0)
Physical Ever been pushed, shook, or had something thrown by husband/partner 6.9 (6.3–7.4) 14.1 (13.3–14.9)
Ever been slapped by husband/partner 12.9 (12.2–13.7)
Ever been punched with fist or hit by something harmful by husband/partner 3.6 (3.3–4.0)
Both Emotional + physical 23.7 (22.6–24.8)

Abbreviations: IPV, intimate partner violence; NDHS, Nigeria Demographic and Health Survey.

Multivariable regression analysis

Table 4 summarizes the results of multivariable regression on the association between DV and contraceptive use. In total, five regression models were run, of which the first three were univariate (unadjusted), one partially adjusted, and one fully adjusted. Contraceptive utilization status was regressed first against psychological abuse, second against physical abuse, and then against both. All three types showed significant association with the nonuse of contraceptives, with the OR being highest for those who reported experiencing physical abuse only (OR =2.086; 95% CI =1.842–2.363). Although psychological abuse showed significant association in the univariate model, the significance was lost after partially adjusting for the other types of abuse and in the full model also adjusting for all the covariates. Importantly, the odds of nonuse both in the partially (OR =1.971; 95% CI =1.521–2.555) and in the fully adjusted (OR =1.520; 95% CI =1.132–2.042) models were highest for those reporting both psychological and physical abuse.

Table 4.

Regression analysis measuring the association between DV and contraceptive nonuse among Nigerian women (NDHS 2013)

Type of IPV Unadjusted ORs (95% CI) *Partially adjusted ORs (95% CI) **Fully adjusted ORs (95% CI)
Psychological
No (ref)
Yes 1.741 (1.533–1.97) 0.839 (0.671–1.047) 0.936 (0.734–1.192)
Physical
No (ref)
Yes 2.086 (1.842–2.363) 1.269 (1.049–1.536) 1.275 (1.030–1.578)
Both
No (ref)
Yes 1.985 (1.771–2.226) 1.971 (1.521–2.555) 1.520 (1.132–2.042)

Notes: Reference category is “no.” ORs shown in bold are significant at p<0.05.

*

Adjusted for other types of IPVs;

**

adjusted for age, residency type, religious affiliation, educational attainment, wealth index, employment, sex of household head, decision maker for own healthcare.

Abbreviations: DV, domestic violence; IPV, intimate partner violence; NDHS, Nigeria Demographic and Health Survey.

Discussion

The present study was conducted with data derived from NDHS. The aims were to provide an update on the pattern of contraceptive use among currently married women as well as to measure the association between contraceptive use and DV. Several important findings emerged from this analysis that merit special attention. The overall prevalence of contraceptive use among the study participants was strikingly low with marked disparities across age and geographic and socioeconomic factors. Only 16% (95% CI =15.2–17.0) of the women reported using any contraceptive method, which is far below the global level of 63.3% (60.4–66.0%) and African country average of 31% (as of 2010).23 The rate is higher than those in two previous NDHS surveys: 12.6% in 2003 and 14.6% in 2008. However, putting in comparison with other comparable economies such as Kenya (42.1%)24 and Ethiopia (29.2%)25 reveals that Nigeria has a long way to go to catch up with its regional counterparts. This slow progress in the prevalence of contraception is particularly thought-provoking, given the rising rate of female literacy and a fair level of knowledge regarding contraception in the population.26

Some plausible explanations behind this could be the occurrence of socioeconomic inequalities in accessing health care. Our results indicated that only 2.2% of the women in the households with poorest wealth status were using contraceptive method in contrast to 46.5% in the richest households. Similar findings were observed in countries across South Asia and sub-Saharan Africa including Bangladesh,1 India,27 Ghana,28 Kenya,24 Ethiopia,25 and Zimbabwe29 that have reported a striking gap in the utilization of basic reproductive services among women in the richest and lowest wealth groups. Financial well-being at individual and familial levels has been shown to be a direct determinant of utilization of maternal health care and family planning services even when the services were available free of cost.30

The sexual and reproductive autonomy-related issues that usually arise from general power imbalance, marital discord, and spousal abuse come next to the direct socioeconomic determinants. Women reporting lifetime experience in IPV are significantly less likely to be able to use contraception and maintain their fertility goals.14 The relationship between IPV/DV and the use of family planning services is a hard one to clarify; however, the possible mechanisms appear to be the erosion of processes such as women’s decision-making autonomy, self-esteem, and poor health care-seeking behavior. According to prior researches, women in 8 of 19 countries in sub-Saharan Africa were more likely to use contraception when they had greater decision-making autonomy.31 Lack of autonomy has also shown to be associated with poor uptake of contraception and maternal health care services in Bangladesh32 and India.33 These findings are well in line with the ones from the present study. Surprisingly, we did not find any significant influence of psychological abuse on contraceptive use; however, that of physical abuse and the combination of both have demonstrated a strong association.

A good number of studies have been conducted so far at national and subnational levels that provided varying perspectives regarding the high fertility and the low use of maternal care and family planning services in Nigeria. The majority of the studies have argued surrounding the socioeconomic grounds, with only a few probing into the culture- and gender empowerment-related issues such as ethnicity, religion, the level of autonomy, and spousal abuse.34,35 Thus, the current evidence base may be such that addressing the socioeconomic factors emerges as the most compelling priorities to improve the coverage of family planning services. Even so, the findings of the present study imply the necessity for the prevention and intervention of DV, which may potentially contribute to the achievement of national family planning and demographic targets. DV is a multifaceted problem that cuts across a host of sociocultural factors, which means that any attempt to mitigate this will require a multisectoral policy approach stressing on issues including women empowerment, promoting women’s rights, making gender-friendly public policies, and perhaps, the most important of all, raising public awareness. To facilitate this, further researches need to be carried out to better understand the contexts of spousal abuse and the pathways through which DV and women’s ability to use family planning services interact.

This study has several strengths and limitations. First, it showed contraceptive use as a function of DV unlike the majority of the past studies that focused on socioeconomic and demographic factors. The quality of survey was high, and sample size was a representative of the population aged between 15 and 49 years. Data analysis followed a carefully selected set of procedures and was accounted for the complex nature of the sampling strategies. The cross-sectional nature of the data, which precludes making any causal inferences, and the use of self-reported indicators of the variables instead of objective measurement, which increases the chance of reporting bias, are among the limitations. Nonetheless, the findings provide important insights for policy makers and researchers and thus invite more in-depth surveys for future.

Conclusion

The findings of the present study indicate a remarkably low prevalence of contraceptive use among Nigerian women. The rate of DV was equally distressing and has shown a significant association with the adoption of contraception. In light of these findings, it is recommended that policy makers place special emphasis on developing strategies to protect women from any form of perpetration and to integrate gender issues to matters that concern women’s reproductive health.

Acknowledgments

We thank Measure DHS for providing the data sets and the households who agreed to take part in the survey.

Footnotes

Disclosure

The authors report no conflicts of interest in this work.

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