Skip to main content
Advertisement
  • Loading metrics

Postnatal depression and its social-cultural influences among adolescent mothers: A cross sectional study

  • Chimwemwe Tembo ,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Writing – original draft, Writing – review & editing

    chimweptembo@yahoo.co.uk

    Affiliation Saint John of God Hospitaller Services Malawi, Mzuzu, Malawi

  • Linda Portsmouth,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Supervision, Validation

    Affiliation School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia

  • Sharyn Burns

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – review & editing

    Affiliation School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia

Abstract

In rural Malawi, adolescent mothers represent 31% of pregnancies. While some adolescent mothers experience motherhood as an exciting, positive, and affirming experience, for others, it may increase their risk of postnatal depression (PND). Social norms and culture contribute to adolescent mothers’ experiences and may influence their mental health. However, there is limited research around the prevalence of PND and its cultural influences among adolescent mothers. A cross-sectional survey was administered from 7th September 2021 to 31st March 2022. Three hundred and ninety-five adolescent postnatal mothers aged ≤19 were conveniently recruited at Mitundu hospital in Lilongwe, Malawi. The Edinburgh Postnatal Depression Scale was used to assess depression. A cutoff point of ≥ 10 was employed to categorize probable PND. Binary logistic regression was used to determine the predictors of depression. The mean age of participants was 17 (SD 1.157). and 43.6% (n = 172) presented with PND (EPDS scores ≥10). When all factors were considered in a binary logistic model, adolescents who had ever experienced intimate partner violence (IPV) were 13.6 times more likely to report PND after controlling for age and other predictors compared to those without an experience of IPV (aOR 13.6, p = 0.01, 95% CI 2.10–88.9). Participants whose families did not decide for them (regarding their care) were 2.3 times more likely to present with PND than those whose families decided for them (aOR 2.3 p = 0.03, 95% CI 1.04–5.2). Adolescent mothers who had interacted with their health worker were less likely to report PND than those who had no interaction with the health worker (aOR 0.4 P0.02, CI 0.17–0.67). Social and cultural factors can impact mental health of adolescent mothers. It is recommended that targeted and integrated interventions are developed, implemented. and evaluated. There is a need to improve policy and practice to better support adolescent mothers postnatally.

Introduction

Adolescent motherhood is a serious public health concern. Globally, 14 percent of adolescent girls give birth before turning 18 years old [1]. While in low-to-middle income (LMI) countries, it is estimated that about 12 million girls between the ages of 15 and 19 give birth each year [2]. Currently, in rural Malawi, adolescent mothers contribute to about 31% of births [3, 4]. Malawi falls into the top ten nations when considering rates of adolescent pregnancies in Sub-Saharan Africa [5]. Most births to adolescent mothers occur among those from low social economic status, who have less education, and who live in rural areas [5].

The majority of adolescent pregnancies are unintended [6]. Parenthood presents challenges to women of any age; however, postnatal adolescent mothers face a unique range of challenges. They are more likely to experience a greater range of life stressors compared to adult mothers [7, 8]. Inadequate support from partners, friends, and family, can compound these challenges [8, 9]. It is hypothesized that these factors put postnatal adolescent mothers at a higher risk of common mental health disorders such as depression compared to older women [10, 11]. Research has found adolescent mothers who are parents to be twice as likely to experience common mental health disorders compared to mothers aged over 18 years and non-parenting adolescents [9, 10, 12]. The postnatal period is recognized as a time when women are at higher risk of perinatal mental health problems [13]. Post-natal depression is estimated to impact approximately 17% of mothers globally, however there are estimates of 20% among women in LMIC [10, 1417].

In Malawi, a study conducted at Thyolo District Hospital among mothers attending the child health clinic [mean age 24.4 years] with infants aged 0–9 months [n = 501] found 30.4% of participants had experienced a minor or major depressive episode, with 13.9% currently experiencing a major depressive episode [18]. However, to the authors’ knowledge, there are no previously published studies describing rates of depression for adolescent mothers in Malawi.

While, for some adolescent mothers, parenting is an exciting, positive, and affirming experience [19, 20] for others, there are a number of risk factors that increase the likelihood of negative psychological outcomes. Adolescent mothers may face an increased burden of responsibility related to childbirth, care of their baby, breastfeeding, and economic strain [10, 19]. Many adolescent mothers lack practical parenting skills, and are less prepared for pregnancy and motherhood than older mothers [21]. For some, parenthood may increase the risk of depression [19, 22]. Untreated postnatal depression is associated with a range of issues, including: increased incidence of poor maternal attachment [23]; suicide; infanticide; and increased risk of developmental difficulties, behavioral problems, conduct disorders, stunting, and lack of school enrolment for the child [5, 19, 24].

Psychosocial challenges experienced by adolescent mothers, impact negatively on help seeking and treatment for depression. For example, lack of mental health services, the stigma associated with mental health issues, and a lack of knowledge coupled with cultural beliefs, impede access to mental health care services [25]. This is particularly true in Malawi, where delays in seeking help are common among young mothers [26].

Culture is an important context for most experiences, shared beliefs, attitudes, and norms for emotional response and therefore affects how individuals experience mental health disorders, and the need to seek help [25]. It has been suggested that, in resource-constrained countries, women are protected from experiencing perinatal mental problems through the influence of social and traditional cultural practices during pregnancy and in the postpartum period [27, 28]. For example, in Pakistan [29] and Vietnam [28], social support from caring parents and adults within the community or family can be a protective factor for adolescents and could compensate for the absence of other protective factors and promote resilience [27, 30]. However, some residual cultural traditions, norms, and taboos enhance adolescents vulnerability to mental health issues [30]. Such cultural norms may act as barriers to interventions. In Malawi, cultural norms, practices, and taboos vary between tribes; hence, rather than generalizing, interventions specific to each ethnic group are required [31].

Cultural challenges experienced by adolescent mothers in Malawi are not well researched. Most research has focused on older mothers [32, 33], despite international evidence of adolescent mothers’ vulnerability and the need for culturally appropriate interventions. This paper describes the prevalence and social and cultural influences of depression among adolescent mothers attending community clinics at Mitundu in Lilongwe, Malawi. These findings are part of a broader mixed- methods study [34]. The results inform the policymakers to consider screening adolescent mothers for mental health disorders during the postnatal period as part of a possible appropriate intervention to improve identification and management.

Methods

Ethics statement

The research is governed by the principles of beneficence, justice, and respect and is in accordance with the ethical principles of the Declaration of Helsinki [34]. Ethics approval was granted, recognizing adolescent mothers as emancipated minors; with participants under the age of 18 being asked additional questions to ensure they understood their potential involvement in the study. Participants who were illiterate and not able to sign their names used their thumbprints as a signature [this is standard practice in Malawi]. All participants provided informed consent. Where necessary, legal guardians witnessed the adolescent mother’s consent [34], and ethical approval was received from the Curtin University Human Research Ethics Committee [HRE2021-0223] and the Malawian Ethics Board National Committee on Research Ethics in the Social Sciences and Humanities [P.05/21/575]. Any woman who reported suicidal ideation was counselled and offered a referral for clinical mental health assessment and treatment. Participants who were distressed were offered referrals for professional counselling and contacts for available tele- psychological counselling services.

Study design and setting

A cross-sectional survey was conducted from 7th September 2021 to 31st March 2022, to adolescent postnatal mothers who had given birth within 11 months and came for Maternal and Child Health services at Mitundu Rural Hospital (MRH) clinics. The hospital is situated to the south-east of Lilongwe City. The catchment of MRH is characterized by high levels of poverty, high rates of early marriages, and malnutrition, and 90% of the population are subsistence farmers [ICF, 2017]. Mitundu has a population of 147,822 people, 29,171 households, and 402 villages. About 48% of the population is under 15 years of age. The catchment area of Mitundu is dominated by the Chewa tribe, which comprises 34% of the Malawian population [4]. The district adolescent fertility rate for women between the ages of 14–19 is 165 per 1,000 women, with an average of 135 adolescent deliveries per month. Twelve percent of women have never attained any education, and 62% have only completed primary school [4]. Mitundu has one mental health nurse who manages mental health services. Mental health services are supported by Saint John of God Hospitaller Services, Malawi. MRH provides free outpatient services, under-five services, family planning services, immunizations, antenatal, labor, and postnatal services.

Study population and sampling

Convenience sampling was employed to recruit participants. Adolescent mothers were invited to participate in the study when they presented at the MRH for postnatal check-ups, family planning, and under-five clinics. Inclusion criteria included being ≤19, having the capacity to consent, and residing within the Mitundu catchment area at the time of the study. To calculate the sample size for the study, the Slovin sample size determination formula n = N/[1+N*[e]2] was used, where n was the sample size, N was the population size, and e was the level of precision [also called the sampling error] [35]. In this study, N was the projected population of adolescent mothers who were expected to deliver at Mitundu Hospital in 2021. According to data from the Lilongwe District Hospital Office, 30,653 pregnant women (of all ages) were expected to deliver at the hospital in 2021. From this population, 43.2% were likely to be adolescent mothers (source), and the level of precision (e) is 5 percent at a 95 percent confidence level, resulting in a minimum study sample size of 395.

Procedure for data collection

Nurses and community workers distributed flyers and information sheets and informed adolescent mothers of the study. Flyers and information sheets were also placed in strategic areas of the hospital including, postnatal wards, under-five clinics, the family planning department, and outreach clinics. Site health workers introduced the researcher and trained research assistants (RAs) to the mothers at under-five, postnatal, and outreach clinics on clinic days. Health Surveillance Assistants (HSAs) (community health field workers) supported recruitment via outreach clinics. An RA was available to read the information sheet and consent form in Chichewa to potential participants who had poor reading literacy. The survey was administered verbally by trained RAs in a room within the clinic or under a nearby shelter. Responses were recorded electronically through Kobo Collect (the android -based application used to collect data that feeds into the toolbox). The interview took approximately 45 minutes to administer. Participants were provided with K3500 to thank them for their time.

Data collection tool and measures

The survey comprised four sections, including 1) demographics and social factors; 2) behavioral factors; 3], the Edinburgh Postnatal Depression Scale (EPDS); and 4) questions about common cultural factors. Demographics included: age; socioeconomic status; the number of deliveries; tribe; occupation; education; marital status; type of marriage (polygamy or monogamy), and planned or unplanned pregnancy. Social factors included perceived social support, which was assessed using the validated Multidimensional Scale of Perceived Social Support (MSPSS) [36]. Socioeconomic status was measured using the Wealth Index of the study population [37]. The Wealth Index is a measure of household socioeconomic status in LMI countries based on the household’s ownership of consumer goods, dwelling characteristics, type of drinking water source, toilet facilities, and other characteristics.

Section two included questions related to social behaviours including intimate partner violence (IPV); alcohol consumption; and tobacco use. Alcohol consumption was assessed using AUDIT-C. which is an internationally recognized brief alcohol screening tool [38]. The tool assesses alcohol consumption by asking three questions focusing on the frequency and level of alcohol consumption. AUDIT-C initially asks participants if they have consumed a standard drink of alcohol in the past 12 months. Participants were then asked how often they drink alcohol; how many drinks they consume on a typical day when they are drinking, and how often they have six or more drinks on one occasion. A cut-off point of 8 was used to categorise low risk and hazardous/harmful drinkers into a binary variable [38]. Participants were asked if they currently use or smoke any form of tobacco [yes or no response]. The Hurt, Insulted, and Threatened, screamed at and Sexually Abused [HITS] Scale was used to assess experience of IPV [39]. HITS includes five items assessing five types of abuse experienced during the past 12 months: being hurt, physically insulted, threatened, screamed at, and forced into sexual activity by their intimate partner (five point Likert scale; sores 0 to 5; range 0–25) [40]. A cut-off point of ≥10 was employed to signal the presence of abuse [40]. The HITS has been used previously in the Malawi Demographic Health Survey, with the questions adapted to reflect the Malawian context [ICF, 2017].

Section three included questions relating to depression. The EPDS, a ten-item scale for diagnosing psychological symptoms of depression experienced in the past seven days, was employed. Questions are based on the DSM depression diagnostic criteria (Ten items 0–3, score range 0–30) [33, 41, 42]. As consistent with other studies in Malawi mothers were provided with visual prompt cards to facilitate responses [43], Responses were represented by ‘emoji’ or emotional faces that represented ‘sad face’, as “not at all” and ‘happy face’ meaning “as much as you always could”. The frequency questions included groups of faces with varying proportions of ‘sad’ and ‘happy’ faces. The EPDS tool is widely used either as a population-based self-report or as a health-worker administered measure in Malawi [33, 36]. The EPDS has been validated in the predominantly rural population of perinatal mothers in Mangochi—Malawi with the internal validity found to be high (sensitivity index: r 68.8% - 100%; specificity index: 79.5: reliability: Cronbach’s alpha 0.9] [32]. While the EPDS was designed as a self-completion tool, it has also been administered by interviewers [41, 42]. A cut-off of ≥10 was used to indicate probable postpartum depression, as consistent with other studies in sub-Saharan Africa [42, 44] and globally for adolescent mothers [45].

New questions were developed to explore the influences of mental health from a cultural perspective. These questions were informed by the literature to meet a gap and underwent construct, content and face validity testing, and a yes or no response option was provided (see Table 2).

Translation of survey questionnaire

The survey underwent construct and content validity with three Malawian mental health experts, three public health specialists, two senior researchers, and two health workers. In addition, these professionals reviewed for face validity, to ensure the translation and wording of all questions were appropriate for local participants [46]. Following the World Health Organisation standardized and validated translation process [47], the survey was translated from English to Chichewa and then back by an independent professional translator. The face validity of the survey was achieved via expert review in addition to a focus group discussion (FGD) with 15 adolescent mothers. Language and comprehension of questions were explored during the FGD [46]. All questions were administered in Chichewa. In the process of translation, inadequate expressions or concepts and discrepancies were discussed and resolved during the face validation process.

Data analysis

After data collection through Kobo Toolbox, the dataset was imported into SPSS version 27 for descriptive and inferential analysis. The dependent variable or outcome was probable PND with a binary outcome (probable PND and Low risk PND). Descriptive statistics were computed to describe the frequencies of independent variables of demographic, social, behavioural and cultural characteristics such as age, gender, educational level, marital status, use of alcohol, whether the child was planned or unplanned, place of delivery, religion, experience of loss, and social economic status. Social-economic status was computed as Wealth Index, which is a measure of the economic status of a household. The Principal Component Analysis (PCA) methodology was used to compute the wealth index.

To establish the prevalence of PND, the study performed descriptive analysis using frequency tabulations. In particular, PND was tabulated into a binary variable with a cut-off point of, ≥10 which was considered probable PND. Furthermore, to determine the association between demographic, social and economic factors, a Pearson Chi Square test of association for categorical response variables was conducted. An independent t test was performed to obtain an association between probable PND and MPSS scores. Lastly, we conducted a binary logistic regression analysis to examine the relationship between a binary outcome variable (PND or no depression variable) and the predictor variables to measure the direction and magnitude of factors associated with postnatal depression. The covariates included were all significant factors identified via chi-square test of association and t-test, such as age, marital status, polygamy, age at marriage, occupation, place of delivery, MSPSS, wealth index, family freedom, being isolated, interaction with health worker, forced marriage, husband support, being prayerful, experience of loss, and IPV. However, HIV serostatus, past psychiatric history and alcohol use are considered as confounders in the literature, but these, were not included in the final logistics model because, they were not significant associated with probable depression in the bivariate analysis. Odds Ratios and Coefficients were used to determine the magnitude and direction of the association respectively. Statistical significance was determined at p<0.05. Inferential analyses included confidence level of 95% based on 2-tailed tests. Our analysis showed that after adjusting for the potential confounding variables, the predictor variables remained significantly associated with the outcome variable.

Results

Demographic and social characteristics of the participants

Four hundred and one eligible adolescent mothers agreed to consider participation in this study. After having the information sheet read to them, six opted not to participate. Two declined because they believed the researchers were from satanic organizations and may convert them as current Christians to Satanism. Two adolescent mothers were afraid of the conspiracy theories that surrounded the COVID-19 vaccine and believed the researchers would force them to receive this vaccine. Two participants declined because their husbands told them not to take part. The final sample was 395, representing a 99.5% response rate.

Participants’ demographic and social characteristics are described in Table 1. The participants mean age was 17 (SD 1.157); 34% (n = 135) were aged 13–17 years, and 65% (n = 260) were 18–19 years. The majority of participants were married 78% (n = 308); twelve percent were in a polygamous marriage, and 73% were married before the age of 18. Most participants had given birth to their first child 90.6% (n = 358). Over 60% of participants had not planned their current pregnancy (63.3%, n = 250). Eighty-seven percent of participants had attended primary school while 10% (n = 40) had attended secondary school. Ninety-five percent of participants were Christians, and the majority belonged to the Chewa tribe 98%, (n = 387). The average MPSS score was 31. 17(SD± 10). Forty-two percent were within the first and second poorest quintiles and 20% were in the wealthiest quantile. IPV had been experienced by 5.3% (n = 21) of participants. The prevalence of probable postnatal depression (EPDS scores ≥10) tabulated among adolescent mothers was 43.5%, (n = 172).

thumbnail
Table 1. Demographics, social, behavioral, and emotional characteristics of participants (n = 395).

https://doi.org/10.1371/journal.pgph.0002025.t001

Table 2 summarizes the possible cultural influences of mental health as experienced by the participants. The majority of participants (83.2% n = 322) reported a lack of interaction with any healthcare provider during the postnatal period. Fifty four percent, of the respondents (n = 212), reported they initially seek help from religious leaders to treat their mental health problems; and 255 (65.4%) sought help from a traditional healer. Almost one third of participants (31.8%, n = 124) had become more prayerful during their pregnancy.

When asked about their family influences, fifty-three percent of participants (n = 206) indicated they did not have the freedom to discuss their mental health with their family. Thirty seven percent (n = 147) experienced a negative reaction from their parents due to their pregnancy. More than half (77%, n = 302) of the participants reported that their family members decide on their behalf regarding their care, and the majority (82.6%, n = 322) received information regarding childbirth and parenting from community elders. Almost three quarters (74%, n = 289) of participants reported that they are financially supported by their husbands.

During pregnancy and the postpartum period, 86.4% (n = 337) of participants reported following some strict cultural practices related to childbirth. For example, having traditional ceremonies regarding preparation for childbirth, and parenting 82.6% (n = 322). Additionally, 10.8% (n = 42) reported being forced to have sex with a man who was not their husband due to traditional cultural beliefs.

Demographic, social and cultural factors associated with probable PND among adolescent mothers during the postpartum period

Demographic factors significantly associated with probable PND include: age, whereby older participants (aged 18–19 years) were more likely to report probable PND symptoms compared to younger participants (13–17 years) (63.8%, X2 = 14.591, <0.001); being single (63.1%, X 2 = 17169, p = 0.001) compared to being married; those in polygamous relationships (60.5%, X 2 = 9.051 p = 0.004) compared to those in a monogamous marriage; adolescents who delivered at traditional birth attendants were more likely to report PND symptoms (76%, X 2 = 8.767 P = 0.003) compared to those who delivered in a hospital (Table 3). In terms of support, participants who had more support were more likely to report PND scores <10 compared to those with limited support (t = 8.910, p = 0.001). Participants from the poorest and wealthiest indexes were more likely to report EPDS scores of ≥ 10 compared to those from the second, third and fourth wealth index (P = 0.001). Participants who reported a lack of family freedom to discuss issues were more likely to report PND symptoms scores of ≥10 (55.3%, 24. 650a p = 0.001). Adolescents who experienced a negative reaction about their pregnancy from their parents (52.7%, X2 = 8.186a P = 0.004), were isolated within their family (86%, X2 = 10.901a, p = 0.001), whose family does not make decisions on their behalf (57.1%, X2 = 8.894a p = 0.003), reported a lack of interaction with health workers (63.6%, X2 = 13.012a p = 0.001), and were in forced marriages (54.4% X2 = 7.662a, p = 0.006), were significantly more likely to report PND symptoms scores of ≥10 (Table 3).

thumbnail
Table 3. Factors associated with probable postnatal depression (EPDS ≥ 10).

https://doi.org/10.1371/journal.pgph.0002025.t003

Factors associated with postnatal depression in a binary logistic regression

Adolescents who ever experienced IPV were 13.6 times more likely to report postnatal depression than those without experience of violence (aOR 13.6, p = 0.01, 95% CI 2.10–88.9). Being prayerful reduced the odds of presenting with postnatal depression (aOR 0.4 p = 0.02, CI: 0.2–0.87). Those whose families were not making decisions for them regarding their care were 2.3 times more likely to report postnatal depression than those whose families made the decisions for them (aOR 2.3 p = 0.03, 95% CI: 1.04–5.2). Adolescent mothers who had interacted with a health worker were less likely to be depressed postnatally than those who did not interact with the health worker (aOR 0.4 P0.02, CI: 0.17–0.67). There was an inverse relationship between support and postnatal depression. A one unit increase in multi-dimensional scale of perceived social support score resulted in an 11% decrease in postnatal depression scores.

In terms of the direction of association, there is a positive correlation between IPV and being prayerful with postnatal depression. While having more support, parents deciding on your behalf, and health worker interaction were inversely correlated with PND. [See Table 4].

thumbnail
Table 4. Bivariate logistic regression analysis of factors associated with postnatal depression in adolescent mothers.

https://doi.org/10.1371/journal.pgph.0002025.t004

Discussion

This is the first study to determine the cultural factors associated with the prevalence of depression among postnatal adolescent mothers in Malawi. This is noteworthy as, while postnatal depression has been studied in adults, there is no research focusing on adolescent mothers in Malawi. The prevalence of probable PND among adolescent mothers in this sample was 43.5% using the EPDS cut -off point score of ≥10. This is relatively similar to the higher end of the reported global adolescent estimated prevalence of 25–42% [7, 9, 45, 48] and higher than the findings of two studies among postnatal adult mothers in Malawi within similar rural settings. These studies found a prevalence of 30.4% [18] and 19% [33]. A study in Rwanda found a 48% prevalence of postnatal depression among adolescent mothers in a rural setting using an EPDS cut off point of 13 [5], while a US study among African American adolescents found a prevalence of 45% using the Beck Depression Inventory II [49]. The findings of this study are similar to other studies that have found adolescent mothers to have an increased risk and higher prevalence of postnatal depression compared to adult mothers [7, 11, 19, 50, 51]. This suggests that adolescent mothers experience a range of different issues compared to adult mothers, which may include parental pressure, poor problem-solving skills, the inability to think abstractly [51, 52], psychological stress [8] which may be influenced by their inability to effectively cope with parenting, family dysfunction, and a lack of practical parenting skills [51, 53]. The findings of this study justify the consideration of clinical actions that can be employed at the primary health care level specifically for postnatal adolescent mothers.

Although prevalence estimates vary across countries, some psychosocial factors associated with depression are prevalent across high- middle- and low-income countries. For example, experiencing IPV, being single, a lack of social support, feeling isolated, and having a lower economic status, were found to be significantly associated with high depression scores in this study. These findings support those of other studies conducted in the US, South Africa, and Nigeria among adult postnatal women [9, 12, 27, 48, 54, 55]. However, other factors such as level of education, [p = 0.49] unintended or planned child [p = 0. 81], and child gender [p = 0.72] were not significantly associated with depression in this study, but they were associated with depression in other studies [9, 12, 27, 49, 54, 56]. The differences in results may be attributed to homogeneity within the responses, which resulted in a lack of variability within the sample responses to ‘education’, and ‘unintended or planned child’. This is because the majority of adolescents clustered on a response that was similar. For example, responses for the level of education. As for unplanned pregnancies the reason would be, because of social and cultural normalization of adolescent childbearing whereby, having a child in Malawi gives a woman an affirmation and a sense of recognition within society [57]. Therefore, when the child is born, having an unplanned child does not matter because the majority of them get married and they are supported by their husbands. In addition, the gender of the child does not matter in this society. Furthermore, this study was conducted in a rural setting, where the cultural context is more communal than individual. Hence, mothers receive significant community-level support, highlighting the importance of social support for new mothers. Therefore, future studies may want to compare rural and urban adolescents. However, adolescent mothers who are not married, are more likely to experience shame and stigma and may not be afforded the same support [24, 58]. Notably, in this study, adolescent mothers who were not married were more likely to report depressive symptoms.

The study found a negative correlation between MPSS and depression, where by a decrease in MPSS support resulted in an increase in depression, this is similar to many studies conducted among adult perinatal women [36, 44] An individual’s ability to handle pressures is thought to be significantly improved by social support [44, 59]. Hence, adolescent mothers may have benefited from extra support.

Participants in the poorest and wealthiest quintiles were more likely to report postnatal depressive symptoms (scores of ≥ 10) compared to those within the 2nd 3rd and 4th. quintile. These results are surprising. Studies in low income countries such as Rwanda, high income countries such as the US and middle income countries such as Mexico found high socio economic status to be associated with a lower likelihood of depression during the postnatal period among adolescent mothers [5, 6062]. The first author speculates that the finding may be attributed to transgenerational marriage, where there is sexual division of power and power imbalances within the relationships at play despite the adolescent mother living with her comparatively wealthy older husband [63, 64]. Adolescent mothers also likely lack decision making power with regard to financial and economic activities due to gender specific cultural norms where men become controllers of all finances [63] and women are restricted in undertaking economic activities after child birth as they are expected to be at home [65]. The lack of economic activity increases the odds of depression in the general population [66]. Ccontrary to the above commentary, another study in the US found household poverty was not a significant predictor of postnatal depression [67]. Therefore, there is a need for further investigation of this research outcome.

The child’s gender did not significantly influence depression in this study, unlike the findings of studies in Turkey [68] and Uganda [69] where male children are preferred and thus associated with a reduced risk of depression. Malawi is a matrilineal society, where female and male children have equal value. Additionally, it is assumed a female child will one day ‘own’ the village because males marry and leave the village.

Level of education was not significantly associated with depression in this study. This is because in this sample, approximately 99% of participants had not attended secondary education. This has caused the responses to be clustered on primary school and there is a lack of variability leading to education being not significant. Data from Malawi revealed that 72% of young people do not complete secondary school education [4].

This study found adolescent mothers whose family/parent family did not decide for them regarding their care were 2.3 times more likely to present with depression than those whose parents decided for them. A Rwandan study found dysfunctional parental interaction to be associated with postnatal depression among adolescent mothers [5]. This finding highlight that limited resilience, conflict resolution, and coping skills, coupled with the pressures of undertaking adult roles among adolescent mothers, are likely to impact depression. Furthermore, the results may indicate the effects of diminished communication with their parents, particularly when the pregnancy is not planned. Unplanned adolescent pregnancies in Malawi are associated with shame and defilement and may lead to diminished parental support [24]. In addition, in Malawi, if an adolescent falls pregnant, she is immediately forced into marriage or she is taken to the man who is responsible or to her in-laws’ home to live, where in most cases, she is expected to make her own decisions regarding her care. Furthermore, there is a cultural norm or tradition of no communication about reproductive issues or sensitive topics between adolescents and their parents or mothers-in-law which may enhance the vulnerability of the adolescent mothers. This may result in adolescent mothers searching for other systems available within their culture to provide support. It is clear that other existing systems within the community, such as key members of the church, can be empowered with mental health information and basic counselling skills to enhance their support of young mothers.

This study found a positive correlation between being prayerful and postnatal depression. However, this is contrary to a study conducted in Pakistan among female adolescents in universities, which found a significant inverse association between religiosity variables and depressive symptoms among young women in the general population [70]. The author speculates that adolescent mothers with a strong commitment to religious life may have a stronger social network due to relationships that are fostered in religious settings and have a greater sense of belonging to a group [71]. Therefore, in situations when they face life challenges, they may become more prayerful to seek God’s intervention’. In addition, in the absence of other services within the community, adolescents may use religious or faith pathways and become more prayerful to cope or deal with issues. Therefore, prayer, or being engaged in a religious ritual, is used to cope with stressors. Prayer may also be used to seek God’s intervention to change their partners’ behaviors if they suffer abuse from partners or significant others [71, 72]. Therefore, working with faith-based organizations and religious leaders in the community to create and evaluate mental illness prevention programs is essential.

Adolescent mothers who had interacted with the health worker were less likely to be depressed than those who had no interaction. This is the first study of adolescent mothers in Malawi that has demonstrated the correlation between depressive symptoms and contact with a health worker. Considering that the majority of adolescent mothers are primiparas, and the clinical implications of poor mental health, this finding justifies the need for clinical actions by health professionals to support adolescent mothers at the primary care level not only during pregnancy but in the postnatal period as well. Furthermore, Malawian maternal and child clinics would be ideal settings for screening and engaging with postnatal mothers.

None of the participants in this study reported tobacco use, and only 25 [n = 8%] reported consuming of alcohol during the postpartum period. However, of those who drank alcohol, most [n = 6; 75%] reported hazardous/harmful alcohol consumption levels. This is a public health concern considering the short term and long term harms associated with harmful and hazardous alcohol consumption [73, 74]. The low proportion of adolescent mothers reporting alcohol consumption in this study may be associated with changing social norms and the increased responsibility for new mothers protecting them against alcohol use [74]. Rates of consumption are lower than findings from the US among teen mothers [9, 75] and South Africa among perinatal adolescents [7679]. However, residual cultural norms are more prominent in Malawi, where alcohol and tobacco use are not socially acceptable among women and those who do consume these substances are considered promiscuous [80]. While these data may be representative for adolescent mothers in Malawi, given these cultural norms, social desirability bias in their responses is a possibility [81].

Similar to other studies, this study found IPV to be a predictor of depression [27, 42, 8286]. However, compared to studies in other countries, the prevalence of IPV was lower [5.3%]. Studies have reported that 25% of new mothers globally experience IPV after childbirth [39, 87]. In Malawi, to the best of the first author’s knowledge, there is a paucity of data describing IPV experiences among adolescent mothers during the postnatal period. However, the Malawi Demographic Health Survey [2016] found that 5% of women reported experiencing physical violence during pregnancy. The first author speculates that adolescent mothers may have feared their partners being imprisoned or being subjected to harsh penalties if they admitted experiencing violence. In addition, in this catchment area, there are initiatives by other Non-Governmental Organization to stop gender-based violence and early marriages, which may have resulted in underreporting. Another possible explanation proposed by the first author is that adolescent couples are mostly in smooth relationships with no power imbalance and threats are likely to be uncommon. In addition, increased social support following the birth of the child may be associated with a lower likelihood of IPV [8, 84]. IPV challenges the development of the child because it may foster the psychological unavailability of the mothers and may interfere with caregiving [8, 84]. Prevention initiatives such as promoting companionship in clinics provide an opportunity to provide information and enhance skills for couples around supportive relationships [88]. Notably, a study in South Africa found that father involvement can improve postnatal maternal depression and that men would benefit from specific guidance on how they can support mothers during and after delivery [89].

Limitation

As this is a cross-sectional study, causal effects cannot be implied. In addition, we did not account for other potential confounders such as hormonal changes, and physical health problems that might have an effect on the mother [49]. However, the predictors highlighted in this study can inform advocacy initiatives for public mental health planning, and the development of health promotion interventions and strategies in Malawi. This study may also be subject to selection bias, as it was a clinic-based study using a convenience sampling method. However, to reduce the bias, postnatal adolescent mothers who presented at the clinic were randomly invited to participate in the study. Given the sensitive nature of some of the questions, social desirability bias may have impacted some findings. It is recognised that the EPDS is a screening tool and not a diagnostic but, it is widely used internationally to determine population prevalence [45, 90].

Conclusion

The prevalence of PND among adolescent mothers is of public health concern. Some social and cultural factors are found to either have a negative influence on mental health or to protect mothers’ mental health. Multidimensional Social support and professional health support were found to promote good mental health. However, forced marriages, delivering with a traditional birth attendant, and experience of IPV were associated with increased PND among adolescent mothers. It is strongly recommended that targeted and integrated interventions be developed, implemented, and evaluated utilising new models of care that employ a multidisciplinary and collaborative approach to maternal care, particularly for adolescent mothers in Malawi.

Acknowledgments

The authors acknowledge the support the Lilongwe District Health Office rendered during data collection.

References

  1. 1. WHO Global Health Estimates 2019: Causes of DALYs and mortality by cause, age, sex, by country and by region, 2000–2019. [Internet]. 2022 [cited 23.3.22].
  2. 2. Sully EA, Biddlecom A, Darroch JE, Riley T, Ashford LS, Lince-Deroche N, et al. Adding it up: investing in sexual and reproductive health 2019. 2020.
  3. 3. Chaura T, Mategula D, Gadama LA. Adolescent pregnancy outcomes at Queen Elizabeth Central Hospital, Malawi: a cross-sectional study. Malawi Med J. 2021;33[4]:261–8. pmid:35291391
  4. 4. ICF. Malawi demographic and health survey 2015–16. Zomba and Rockville:; 2017.
  5. 5. Niyonsenga J, Mutabaruka J. Factors of postpartum depression among teen mothers in Rwanda: a cross- sectional study. Journal of Psychosomatic Obstetrics & Gynecology. 2021;42[4]:356–60. pmid:32131669
  6. 6. UNFPA. Girlhood, not motherhood: Preventing adolescent pregnancy. New York: UNFPA 2015.; 2015.
  7. 7. Dinwiddie K, Schillerstrom TL, Schillerstrom JE. Postpartum depression in adolescent mothers. Journal of Psychosomatic Obstetrics & Gynecology. 2018;39[3]:168–75. pmid:28574297
  8. 8. Killian-Farrell C, Rizo CF, Lombardi BM, Meltzer-Brody S, Bledsoe SE. Traumatic Experience, Polytraumatization, and Perinatal Depression in a Diverse Sample of Adolescent Mothers. J Interpers Violence. 2020;35[23–24]:6017–40. pmid:29294877
  9. 9. Corcoran J. Teenage Pregnancy and Mental Health. Societies. 2016;6[3].
  10. 10. Agnafors S, Bladh M, Svedin CG, Sydsjö G. Mental health in young mothers, single mothers and their children. BMC Psychiatry. 2019;19[1]:112. pmid:30975129
  11. 11. Barnet B, Liu J, DeVoe M. Double jeopardy: depressive symptoms and rapid subsequent pregnancy in adolescent mothers. Archives of Pediatrics & Adolescent Medicine. 2008;162[3]:246–52. pmid:18316662
  12. 12. Cox JE, Buman M, Valenzuela J, Joseph NP, Mitchell A, Woods ER. Depression, parenting attributes, and social support among adolescent mothers attending a teen tot program. Journal of pediatric and adolescent gynecology. 2008;21[5]:275–81. pmid:18794023
  13. 13. Clare CA, Yeh J. Postpartum depression in special populations: a review. Obstetrical & gynecological survey. 2012;67[5]:313–23. pmid:22624779
  14. 14. Bindt C, Appiah-Poku J, Te Bonle M, Schoppen S, Feldt T, Barkmann C, et al. Antepartum depression and anxiety associated with disability in African women: cross-sectional results from the CDS study in Ghana and Côte d’Ivoire. PloS one. 2012;7[10].
  15. 15. Adeponle A, Groleau D, Kola L, Kirmayer LJ, Gureje O. Perinatal depression in Nigeria: perspectives of women, family caregivers and health care providers. International journal of mental health systems. 2017;11[1]:27. pmid:28428813
  16. 16. Atif N, Nazir H, Zafar S, Chaudhri R, Atiq M, Mullany LC, et al. Development of a Psychological Intervention to Address Anxiety During Pregnancy in a Low-Income Country. Frontiers in psychiatry. 2019;10:927. pmid:31998151
  17. 17. Hanlon C. Maternal depression in low-and middle-income countries. International health. 2013;5[1]:4–5. pmid:24029837
  18. 18. Stewart RC, Bunn J, Vokhiwa M, Umar E, Kauye F, Fitzgerald M, et al. Common mental disorder and associated factors amongst women with young infants in rural Malawi. Social psychiatry and psychiatric epidemiology. 2010;45[5]:551–9. pmid:19609476
  19. 19. Lucas G, Olander EK, Ayers S, Salmon D. No straight lines—young women’s perceptions of their mental health and wellbeing during and after pregnancy: a systematic review and meta-ethnography. BMC Women’s Health. 2019;19[1]:N.PAG–N.PAG.
  20. 20. Campbell-Grossman C, Hudson DB, Kupzyk KA, Brown SE, Hanna KM, Yates BC. Low-income, African American, adolescent mothers’ depressive symptoms, perceived stress, and social support. Journal of Child and Family Studies. 2016;25[7]:2306–14. pmid:28413312
  21. 21. Mwase-Musicha L, Chipeta MG, Stephenson J, Hall JA. How do women prepare for pregnancy in a low-income setting? Prevalence and associated factors. PLoS One. 2022;17[3]:e0263877. pmid:35286337
  22. 22. Freed P, SmithBattle L. Promoting teen mothers’ mental health. MCN: The American Journal of Maternal/Child Nursing. 2016;41[2]:84–9. pmid:26909721
  23. 23. Henderson J, Jomeen J, Redshaw M. Care and self-reported outcomes of care experienced by women with mental health problems in pregnancy: Findings from a national survey. Midwifery. 2018;56:171–8. pmid:29145155
  24. 24. Kachingwe M, Chikowe I, van der Haar L, Dzabala N. Assessing the Impact of an Intervention Project by the Young women’s Christian Association of Malawi on Psychosocial Well-Being of Adolescent Mothers and Their Children in Malawi. Frontiers in Public Health. 2021;9.
  25. 25. Bina R. The Impact of Cultural Factors Upon Postpartum Depression: A Literature Review. Health Care for Women International. 2008;29[6]:568–92. pmid:18569045
  26. 26. Kaminga AC, Myaba J, Dai W, Liu A, Chilale HK, Kubwalo PF, et al. Association between referral source and duration of untreated psychosis in pathways to care among first episode psychosis patients in Northern Malawi. Early intervention in psychiatry. 2019. pmid:31657157
  27. 27. Fisher J, Cabral de Mello M, Patel V, Rahman A, Tran T, Holton S, et al. Prevalence and determinants of common perinatal mental disorders in women in low- and lower-middle-income countries: a systematic review. Bulletin of the World Health Organization. 2012;90[2]:139g–49g. pmid:22423165
  28. 28. Fisher J, Tran T, Kriitmaa K, Rosenthal D, Tran T. Common perinatal mental disorders in northern Viet Nam: community prevalence and health care use. Bulletin of the World Health Organization. 2010;88:737–45. pmid:20931058
  29. 29. Rahman A, Rahman M, Jesmin P, Razzaque A, Aktar S, Jamal Uddin A, et al. Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014. BMJ Global Health. 2019;4[4]. pmid:31423346
  30. 30. Bastien S, Kajula LJ, Muhwezi WW. A review of studies of parent-child communication about sexuality and HIV/AIDS in sub-Saharan Africa. Reprod Health. 2011;8:25. pmid:21943095
  31. 31. Malata A, Chirwa E. Childbirth information needs for first time Malawian mothers who attended antenatal clinics. Malawi Med J. 2011;23[2]:43–7. pmid:23074811
  32. 32. Stewart RC, Umar E, Tomenson B, Creed F. Validation of screening tools for antenatal depression in Malawi—a comparison of the Edinburgh Postnatal Depression Scale and Self Reporting Questionnaire. J Affect Disord. 2013;150[3]:1041–7. pmid:23769290
  33. 33. Chorwe-Sungani G, Chipps J. Performance of the 3-item screener, the Edinburgh Postnatal Depression Scale, the Hopkins Symptoms Checklist-15 and the Self-Reporting Questionnaire and Pregnancy Risk Questionnaire, in screening of depression in antenatal clinics in the Blantyre district of Malawi. Malawi Medical Journal. 2018;30[3]:184–90.
  34. 34. Tembo CP, Burns S, Portsmouth L. Maternal mental health of adolescent mothers: a cross-sectional mixed-method study protocol to determine cultural and social factors and mental health needs in Lilongwe, Malawi. BMJ Open. 2022;12[5]:e056765. pmid:35568496
  35. 35. Singh AS, Masuku MB. Sampling techniques & determination of sample size in applied statistics research: An overview. International Journal of economics, commerce and management. 2014;2[11]:1–22.
  36. 36. Stewart RC, Umar E, Tomenson B, Creed F. Validation of the multi-dimensional scale of perceived social support [MSPSS] and the relationship between social support, intimate partner violence and antenatal depression in Malawi. BMC Psychiatry. 2014;14[1]:180. pmid:24938124
  37. 37. Rutstein S. The DHS Wealth Index: Approaches for rural and urban areas. 2008. Calverton, MD: Rutstein and Macro International. 2008.
  38. 38. Lee KW, Choi YH, Lee JH. Cut-off points for screening at-risk drinking by AUDIT-C Korean version at emergency department. Turkish Journal of Emergency Medicine. 2018;18[2]:57–61. pmid:29922731
  39. 39. Chan KL, Lo CKM, Lu Y, Ho FK, Leung WC, Ip P. Intimate Partner Violence Before Pregnancy, During Pregnancy, and After Childbirth: A New Conceptualization Highlighting Individual Changes in Violence Against Pregnant Women Over Time. Journal of Interpersonal Violence. 2021;37[13–14]:NP12111–NP32. pmid:33666122
  40. 40. Chan C, Chan Y, Au A, Cheung G. Reliability and validity of the “Extended-Hurt, Insult, Threaten, Scream”[E-HITS] screening tool in detecting intimate partner violence in hospital emergency departments in Hong Kong. Hong Kong Journal of Emergency Medicine. 2010;17[2]:109–17.
  41. 41. Kakyo TA, Muliira JK, Mbalinda SN, Kizza IB, Muliira RS. Factors associated with depressive symptoms among postpartum mothers in a rural district in Uganda. Midwifery. 2012;28[3]:374–9. pmid:21601966
  42. 42. Umuziga MP, Adejumo O, Hynie M. A cross-sectional study of the prevalence and factors associated with symptoms of perinatal depression and anxiety in Rwanda. BMC pregnancy and childbirth. 2020;20[1]:68. pmid:32005191
  43. 43. Stewart RC, Umar E, Gleadow-Ware S, Creed F, Bristow K. Perinatal distress and depression in Malawi: an exploratory qualitative study of stressors, supports and symptoms. Archives of women’s mental health. 2015;18[2]:177–85. pmid:24957779
  44. 44. Ongeri L, Wanga V, Otieno P, Mbui J, Juma E, Stoep AV, et al. Demographic, psychosocial and clinical factors associated with postpartum depression in Kenyan women. BMC Psychiatry. 2018;18[1]:318. pmid:30285745
  45. 45. barassi F, Grealish A. Validity of the Edinburgh postnatal depression scale for screening pregnant and postpartum adolescents: A systematic review. The Australian Journal of Advanced Nursing. 2022;39[2]:65–75.
  46. 46. Liamputtong P. Researching the Vulnerable: A Guide to Sensitive Research Methods. London: Sage; 2006. Available from: http://digital.casalini.it/9781847878373 http://digital.casalini.it/4913092.
  47. 47. WHO. (2014). Process of translation and adaptation of instruments https://www.who.int/substance_abuse/research_tools/translation/en/
  48. 48. Swift ER, Pierce M, Hope H, Osam CS, Abel KM. Young women are the most vulnerable to postpartum mental illness: A retrospective cohort study in UK primary care. J Affect Disord. 2020;277:218–24. pmid:32829198
  49. 49. Meadows-Oliver M, Sadler LS. Depression among adolescent mothers enrolled in a high school parenting program. J Psychosoc Nurs Ment Health Serv. 2010;48[12]:34–41. pmid:20873701
  50. 50. Sangsawang B, Deoisres W, Hengudomsub P, Sangsawang N. Effectiveness of psychosocial support provided by midwives and family on preventing postpartum depression among first-time adolescent mothers at 3-month follow-up: A randomised controlled trial. Journal of Clinical Nursing. 2022;31[5–6]:689–702. pmid:34196048
  51. 51. Oladeji BD, Bello T, Kola L, Araya R, Zelkowitz P, Gureje O. Exploring differences between adolescents and adults with perinatal depression-data from the expanding care for perinatal women with depression trial in nigeria. Frontiers in Psychiatry. 2019;10[OCT]. pmid:31708817
  52. 52. Venkatesh KK, Phipps MG, Triche EW, Zlotnick C. The relationship between parental stress and postpartum depression among adolescent mothers enrolled in a randomized controlled prevention trial. Matern Child Health J. 2014;18[6]:1532–9. pmid:24281848
  53. 53. Ndirangu G, Gichangi A, Kanyuuru L, Otai J, Mulindi R, Lynam P, et al. Using Young Mothers’ Clubs to Improve Knowledge of Postpartum Hemorrhage and Family Planning in Informal Settlements in Nairobi, Kenya. J Community Health. 2015;40[4]:692–8. pmid:25585809
  54. 54. Hartley M, Tomlinson M, Greco E, Comulada WS, Stewart J, Le Roux I, et al. Depressed mood in pregnancy: prevalence and correlates in two Cape Town peri-urban settlements. Reproductive health. 2011;8[1]:9. pmid:21535876
  55. 55. Adeyemo EO, Oluwole EO, Kanma-Okafor OJ, Izuka OM, Odeyemi KA. Prevalence and predictors of postpartum depression among postnatal women in lagos, nigeria. African Health Sciences. 2020;20[4]:1943–54. pmid:34394261
  56. 56. Tv Heyningen, Myer L, Onah M, Tomlinson MField S, Honikman S Antenatal depression and adversity in urban South Africa. J Affect Disord. 2016;203:121–9. pmid:27285725
  57. 57. Dube AL, Baschieri A, Cleland J, Floyd S, Molesworth A, Parrott F, et al. Fertility intentions and use of contraception among monogamous couples in northern Malawi in the context of HIV testing: a cross-sectional analysis. PLoS One. 2012;7[12]:e51861. pmid:23284791
  58. 58. Govender D, Naidoo S, Taylor M. "I have to provide for another life emotionally, physically and financially": understanding pregnancy, motherhood and the future aspirations of adolescent mothers in KwaZulu-Natal South, Africa. BMC pregnancy and childbirth. 2020;20[1]:620. pmid:33054778
  59. 59. Mann JR, Mannan J, Quiñones LA, Palmer AA, Torres M. Religion, spirituality, social support, and perceived stress in pregnant and postpartum Hispanic women. Journal of Obstetric, Gynecologic & Neonatal Nursing. 2010;39[6]:645–57. pmid:21039849
  60. 60. Zeiders KH, Umaña-Taylor AJ, Updegraff KA, Jahromi LB. Acculturative and enculturative stress, depressive symptoms, and maternal warmth: Examining within-person relations among Mexican-origin adolescent mothers. Development and psychopathology. 2015;27[1]:293–308. pmid:25004391
  61. 61. Hymas R, Girard LC. Predicting postpartum depression among adolescent mothers: A systematic review of risk. J Affect Disord. 2019;246:873–85. pmid:30795494
  62. 62. Manuel JI, Martinson ML, Bledsoe-Mansori SE, Bellamy JL. The influence of stress and social support on depressive symptoms in mothers with young children. Social science & medicine. 2012;75[11]:2013–20. pmid:22910191
  63. 63. Ahinkorah BO. Polygyny and intimate partner violence in sub-Saharan Africa: Evidence from 16 cross-sectional demographic and health surveys. SSM Popul Health. 2021;13:100729. pmid:33511263
  64. 64. Okumu M, Orwenyo E, Nyoni T, Mengo C, Steiner JJ, Tonui BC. Socioeconomic Factors and Patterns of Intimate Partner Violence among Ever-Married Women in Uganda: Pathways and Actions for Multicomponent Violence Prevention Strategies. Journal of Interpersonal Violence. 2021;37[17–18]:NP16397–NP420. pmid:34388957
  65. 65. Mkandawire E, Hendriks SL. "The role of the man is to look for food": Lessons from men’s involvement in maternal and child health programmes in rural Central Malawi. PLoS One. 2019;14[8]:e0221623. pmid:31442269
  66. 66. Rai D, Zitko P, Jones K, Lynch J, Araya R. Country- and individual-level socioeconomic determinants of depression: multilevel cross-national comparison. British Journal of Psychiatry. 2013;202[3]:195–203. pmid:23349294
  67. 67. Hipwell AE, Stepp SD, Moses-Kolko EL, Xiong S, Paul E, Merrick N, et al. Predicting adolescent postpartum caregiving from trajectories of depression and anxiety prior to childbirth: a 5-year prospective study. Archives of women’s mental health. 2016;19[5]:871–82. pmid:26971266
  68. 68. Senturk Cankorur V, Duman B, Taylor C, Stewart R. Gender preference and perinatal depression in Turkey: A cohort study. PLoS One. 2017;12[3]:e0174558. pmid:28355286
  69. 69. Nakku JE, Nakasi G, Mirembe F. Postpartum major depression at six weeks in primary health care: prevalence and associated factors. Afr Health Sci. 2006;6[4]:207–14. pmid:17604509
  70. 70. Buzdar MA, Ali A, Nadeem M, Nadeem M. Relationship Between Religiosity and Psychological Symptoms in Female University Students. J Relig Health. 2015;54[6]:2155–63. pmid:25216967
  71. 71. Abu-Raiya H, Sasson T, Palachy S, Mozes E, Tourgeman A. The relationships between religious coping and mental and physical health among female survivors of intimate partner violence in Israel. Psychology of Religion and Spirituality. 2017;9[Suppl 1]:S70–S8.
  72. 72. Kaufman CC, Thurston IB, Howell KH, Crossnine CB. Associations between spirituality and mental health in women exposed to adversity. Psychology of Religion and Spirituality. 2020;12[4]:400.
  73. 73. Tembo C, Burns S, Kalembo F. The association between levels of alcohol consumption and mental health problems and academic performance among young university students. PloS one. 2017;12[6]:e0178142. pmid:28658300
  74. 74. Laborde ND, Mair C. Alcohol use patterns among postpartum women. Matern Child Health J. 2012;16[9]:1810–9. pmid:22139046
  75. 75. De Genna NM, Cornelius MD, Donovan JE. Risk factors for young adult substance use among women who were teenage mothers. Addict Behav. 2009;34[5]:463–70. pmid:19179015
  76. 76. Davis EC, Rotheram-Borus MJ, Weichle TW, Rezai R, Tomlinson M. Patterns of Alcohol Abuse, Depression, and Intimate Partner Violence Among Township Mothers in South Africa Over 5 Years. AIDS Behav. 2017;21[Suppl 2]:174–82. pmid:29027039
  77. 77. Bana A, Bhat V, Godlwana X, Libazi S, Maholwana Y, Marafungana N, et al. Knowledge, attitudes and behaviours of adolescents in relation to STIs, pregnancy, contraceptive utilization and substance abuse in the Mhlakulo region, Eastern Cape. South African Family Practice. 2010;52[2]:154–8.
  78. 78. Kanku T, Mash R. Attitudes, perceptions and understanding amongst teenagers regarding teenage pregnancy, sexuality and contraception in Taung. South African Family Practice. 2010;52[6]:563–72.
  79. 79. Kheswa J, Pitso T. Psychological well-being and sexual behaviour of South African teenage mothers: An overview. Mediterranean Journal of Social Sciences. 2014;5[10]:563–.
  80. 80. Lancaster KE, MacLean SA, Lungu T, Mmodzi P, Hosseinipour MC, Hershow RB, et al. Socioecological Factors Related to Hazardous Alcohol use among Female Sex Workers in Lilongwe, Malawi: A Mixed Methods Study. Subst Use Misuse. 2018;53[5]:782–91. pmid:29020505
  81. 81. Bou Malham P, Saucier G. The conceptual link between social desirability and cultural normativity. International Journal of Psychology. 2016;51[6]:474–80. pmid:26914819
  82. 82. Devries KM, Mak JY, Bacchus LJ, Child JC, Falder G, Petzold M, et al. Intimate partner violence and incident depressive symptoms and suicide attempts: a systematic review of longitudinal studies. PLoS medicine. 2013;10[5]:e1001439–e. pmid:23671407
  83. 83. Gibbs A, Carpenter B, Crankshaw T, Hannass-Hancock J, Smit J, Tomlinson M, et al. Prevalence and factors associated with recent intimate partner violence and relationships between disability and depression in post-partum women in one clinic in eThekwini Municipality, South Africa. PloS one. 2017;12[7]:e0181236–e. pmid:28727838
  84. 84. Groves AK, McNaughton-Reyes HL, Foshee VA, Moodley D, Maman S. Relationship factors and trajectories of intimate partner violence among South African women during pregnancy and the postpartum period. PloS one. 2014;9[9]:e106829–e. pmid:25268363
  85. 85. Ogbo FA, Eastwood J, Hendry A, Jalaludin B, Agho KE, Barnett B, et al. Determinants of antenatal depression and postnatal depression in Australia. BMC Psychiatry. 2018;18[1]:49. pmid:29463221
  86. 86. Stewart RC, Umar E, Tomenson B, Creed F. A cross-sectional study of antenatal depression and associated factors in Malawi. Arch Womens Ment Health. 2014;17[2]:145–54. pmid:24240635
  87. 87. Groves AK, McNaughton-Reyes HL, Foshee VA, Moodley D, Maman S. Relationship factors and trajectories of intimate partner violence among South African women during pregnancy and the postpartum period. PLoS One. 2014;9[9]:e106829. pmid:25268363
  88. 88. Easterbrooks MA, Katz RC, Kotake C, Stelmach NP, Chaudhuri JH. Intimate Partner Violence in the First 2 Years of Life: Implications for Toddlers’ Behavior Regulation. J Interpers Violence. 2018;33[7]:1192–214. pmid:26598291
  89. 89. Drysdale RE, Slemming W, Makusha T, Richter LM. Father involvement, maternal depression and child nutritional outcomes in Soweto, South Africa. Maternal & Child Nutrition. 2021;17 Suppl 1:e13177. pmid:34241955
  90. 90. Bryman A. Social research methods: Oxford university press; 2016.