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Research ArticleOpen Access

The Impact of Financial Stress on Mental Wellbeing in Africa: A Systematic Review Volume 66- Issue 4

Celestine Kpurugbara1*, Adejumoke Awosanya2, Yusuff Awosanya1 and Kwapnoe Aaron Peter1

  • 1DFAB Research, United Kingdom
  • 2Lecturer in Global Public Health, School of Health & Life Sciences, Teesside University, United Kingdom

Received: August 14, 2026; Published: August 31, 2026

*Corresponding author: Celestine Kpurugbara, DFAB Research, United Kingdom

DOI: 10.26717/BJSTR.2026.66.010364

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ABSTRACT

Financial stress has recently gained significant recognition as key determinant of mental wellbeing, specifically in Africa, where poverty, unemployment and unstable economy are common. Existing research examined this relationship, However, evidence remained fragmented, context specific and lacked generalisation. This study aims to assess the impact of this relationship in Africa through a systematic review of available evidence. The systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Sixteen studies were identified across multiple databases, Qualitative studies were analysed using Thematic synthesis, Narrative synthesis was used to analyse quantitative studies, and findings were merged using triangulation method. Quantitative studies demonstrated consistent association between financial stress and depression, anxiety, and psychological distress. The key drivers were poverty, unemployment, household economic shocks, food and financial instability. Qualitative studies reported the experience of financial hardship as chronic anxiety, feeling of hopelessness, emotional exhaustion, social withdrawal and feeling of shame and guilt, these were commonly expressed contextually as ‘‘too many thoughts’’ and ‘‘thinking too much’’. The triangulation of both studies showed a significant convergence that identified financial stress as multidimensional determinant of mental wellbeing, particularly driven by structural inequalities and socioeconomic deprivation across Africa. This outcome showed significant impact and consistent relationship between financial stress and mental wellbeing across, and underscore the need to strengthen social protection, reduce structural inequalities and integration of a culturally responsive mental health intervention services within the primary healthcare in Africa.

Keywords: Financial Stress; Mental Wellbeing; Mental Health; Africa; Social Determinants of Health; Depression; Anxiety; Emotional Distress; Psychological Distress

Abbreviations: PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses; WHO: World Health Organisation; PEO: Population Exposure and Outcome; MHD: Mental Health Disorders; MeSH: Medical Subject Headings; AFSMWF: African Financial Stress and Mental Wellbeing Framework

Introduction

Mental health is increasingly recognised as a component of overall health and a fundamental human right [1]. Contemporary perspective of health considers mental wellbeing as a key aspect of health, underscoring the importance of resilience and social capital in managing daily stressor [2]. Although, achieving overall health is broad and unrealistic, considering that only few people achieve such standard of health [3]. Consequently, disruption in mental wellbeing and Mental Health Disorders (MHD) have significantly contributed to global disease burden of health [4]. Globally, MHD is among the leading cause of morbidity and disability, affecting one billion people [5]. This figure reflects improved health surveillance and awareness rather than a sole disease prevalence [4]. MHD are underestimated due to classification and reporting gap across regions [6]. Recent global crisis including COVID-19 and economic disruptions, have influenced mental wellbeing and led to financial stress that undermines both economic and individual wellbeing [6,5].

Globally, MHD cost over US$1trillion in lost productivity [7]. These effects are driven by an interaction of psychological, biological, environmental and socioeconomic factors [8]. Socioeconomic deprivation significantly shapes health outcomes, creating a social gradient of health where lower income is associated with poorer health outcomes [9]. Financial stress derived from socioeconomic deprivation, specifically in deprived regions influences health outcomes [10,11]. Within Africa, structural inequalities steer anxiety, depression and suicidal ideation [12]. Persistent income disparities, unemployment, poverty and economic instability intensify vulnerability to MHD [13,14]. Statistically, in Africa, over 150 million people are affected, yet 85% lacks access to treatment [15]. This gap is sustained by underfunding, poor primary healthcare, stigma and under-reporting, particularly in rural settings [16,17]. Nigeria and Uganda allocate less than 3% of health budget to mental health, which is lesser when compared to high-income countries [18,12,15]. Additionally, cultural and traditional beliefs also influence how MHD is treated, diagnosed and expressed [19].

The rationale for this study was informed by the growing global significance of financial stress and mental wellbeing, yet evidence within Africa remain fragmented and contextually shallow. Studies are limited in design, scope and coverage, often targeting isolated systems or short-term effect which offers little insights. Studies in Malawi [20] and Nigeria [21] demonstrated this association, however, their findings remained context-specific and lacks generalisation across Africa. Additionally, most studies adopt the Western Biomedical framework, which lacks socio-cultural realities in Africa. Such frameworks medicalise mental health outcomes and often overlook socio-cultural factors that shape how emotional distress is experienced, interpreted and expressed across Africa settings [22]. This study bridges the existing knowledge gap by consolidating fragmented evidence, analysing the relationship between financial stress and mental wellbeing, identify the socio-economic determinant and develop a conceptual framework.

Aim: To assess the impact of financial stress on mental wellbeing in Africa.

Objectives

• To assess the relationship between financial stress and mental wellbeing in Africa.

• To explore the determinants of financial stress and mental wellbeing in Africa.

• To develop a conceptual framework that explains financial stress and mental wellbeing in Africa

Methods

Study Design

This study adopts a systematic review because it offers a rigorous, transparent and replicable method of identifying, synthesising and appraising available research evidence to answer a research question [23]. The Cochrane Handbook for Systematic Reviews of Interventions or the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guided this study in ensuring the process maintained methodological credibility, reproducible, comprehensive, properly documented and minimised bias [24,25]. Although, scoping review effectively map broad evidence, they lack analytical depth and critical appraisal system needed to explain how financial stress impacts mental wellbeing [26]. Findings from systematic reviews are increasingly used to inform decision-making, particularly in healthcare and public sector [27]. However, they require and are dependent on wide range of databases and may overlook unpublished articles, risking publication bias [28]. This approach was most suitable for this study considering the fragmented nature of existing evidence. The review was registered on PROSPERO: CRD420261326617.

Research Question

What is the impact of financial stress on mental wellbeing in Africa?

Question Framework

This study adopted the Population, Exposure and Outcome (PEO) question framework, which supports the formulation of clear and focused research question that is essential for structuring search strategy and ensuring methodological transparency [29,30]. Although the Sample, Phenomenon of Interest, Design, Evaluation and Research type (SPIDER) has been used in similar study by [31], it has been critiqued for limitation beyond qualitative studies [32]. PEO framework was appropriate for exploring how financial stress (Exposure) impacts, mental wellbeing (Outcome), particularly within Africa (populations).

Eligibility Criteria

(Table 1).

Table 1: Inclusion and exclusion criteria.

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Search Strategy

A comprehensive search strategy was applied across multiple academic databases including, Medline, PsycINFO, CINAHL, Amed, Eric and PubMed. Together, they offer wider coverage of biomedical, psychological, public health and community-based research that supports the study aim. The search strategy combined Medical Subject Headings (MeSH) and free-text terms, using Boolean operators (AND, OR) and truncations, (except for the population). To enhance credibility, the search was conducted independently by three authors on the 12th April, 27th April and 15th May, 2026 respectively and all discrepancies were discussed and resolved through discussion with the fourth author. The search terms below were informed by the modified version used in similar studies by [33]and [34].

((Mental health difficulties*) OR (Emotional Health*) OR (Poor mental health*) OR (Subjective wellbeing*) OR (Emotional health*) OR (Mood disorders*) OR (Mental disorders*) OR (Anxiety*) OR (Depression*) OR (Psychological distress*) OR (Mental health status*) OR (Psychological wellbeing*)) AND ((Economic difficulty*) OR (Socioeconomic adversity*) OR (indebtedness*) OR (Financial burden*) OR (Resource insufficiency*) OR (Economic hardship*) OR (Financial worry*) OR (Economic adversity*) OR (Debt burden*) OR (Income insecurity*) OR (Poverty*) OR (Economic stress*) OR (Financial strain*) OR (Financial hardship*)) AND ((African countries) OR (Southern Africa) OR (Central Africa) OR (East Africa) OR (Ethiopia) OR (Eswatini) OR (Eritrea) OR (Equatorial Guinea) OR (Egypt) OR (West Africa) OR (Africa South of the Sahara) OR (sub-Saharan Africa) OR (Zimbabwe) OR (Zambia) OR (Uganda) OR (Tunisia) OR (Togo) OR (Tanzania) OR (Sudan) OR (South Sudan) OR (South Africa) OR (Somalia) OR (Sierra Leone) OR (Seychelles) OR (Senegal) OR (Sao Tome and Principe) OR (Rwanda) OR (Nigeria) OR (Niger) OR (Namibia) OR (Mozambique) OR (Morocco) OR (Mauritius) OR (Mauritania) OR (Mali) OR (Malawi) OR (Madagascar) OR (Libya) OR (Liberia) OR (Lesotho) OR (Kenya) OR (Guinea-Bissau) OR (Guinea) OR (Ghana) OR (Gambia) OR (Gabon) OR (Djibouti) OR (Ivory coast) OR (Cote d’Ivoire) OR (Congo) OR (Comoros) OR (Chad) OR (Central African Republic) OR (Cameroon) OR (Cabo Verde) OR (Burundi) OR (Burkina Faso) OR (Botswana) OR (Benin) OR (Angola) OR (Algeria))

Additional Google scholar search was conducted using the research title as the search terms.

Study Selection

The initial phase involved screening titles and abstracts after removing duplicates, in-line with PRISMA guidelines. All studies were uploaded to a shared excel spreadsheet and colour coded to support transparent screening process among authors: green for eligible studies, yellow for studies with discrepancies, and red for studies that failed to meet the inclusion criteria. The final screening stage involved retrieval and reviewing of full-text articles coded green. Each article was assessed rigorously against the inclusion to ensure alignment. Discrepancies were resolved through discussion among all authors to ensure methodological integrity.

Quality Appraisal

The Raby and McNaughton critical appraisal framework was selected to evaluate the methodological rigour of included studies across key domains, including clarity of research questions, study design, Setting, sampling, data collection methods, data collection, analysis, findings, conflicts of interest and ethics [35]. Its ability to assess both qualitative and quantitative studies made it suitable for this study. Although, standardised quality appraisal tools are increasingly advocated for [36], this tool remains flexible, yet robust for evaluating strengths, weakness and overall credibility of included studies [35]. Included studies generally demonstrated clear research aims, suitable study design that aligned with research aim and objectives. Qualitative studies were generally stronger with exploring lived experiences of how financial stress impacts mental wellbeing, whereas quantitative studies generally used validated mental health measurement tools and appropriate statistical analysis. A notable methodical strength was demonstrated by Madeghe et al., (2020), whose mixed method approach provided stronger methodological triangulation of findings. However, key limitations were reliance on cross-sectional data that limited the establishment of causal relationships. Additionally, adoption of self-reporting, limited information around sampling procedures and reflexivity were other identified potential limitations, particularly with the qualitative studies (Table 2).

Table 2: Raby and McNaughton quality appraisal framework of included studies.

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Data Extraction

To ensure credibility and transparency, data was extracted using Excel spreadsheet and captured key information such as, study title, author/year of publication, study aims, study settings, study design/ strategy, sample size, findings and study limitation (Table 3).

Table 3: Data extraction sheet.

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Results

Overview of Included Studies

Sixteen studies were retrieved; this includes studies conducted across multiple African countries such as Nigeria, Uganda, Kenya, South Africa, Zimbabwe, Zambia, Ghana, Malawi and Tanzania. Methodologically, five studies were qualitative, nine quantitative and and two mixed-methods studies. Furthermore, sample size ranged from 30 participants to 13,719, demonstrating a diverse population, spanning across adolescents, young adults, pregnant women, women of reproductive age, and refugees or participants living with a disease condition. Qualitative studies were conducted across seven countries including Nigeria, Zambia, Uganda, Kenya, Ghana, Malawi and Tanzania. Across these countries, financial stress was consistently demonstrated to impact mental wellbeing despite differences in culture and socioeconomic realities. In Nigeria, currency redesign policy led to psychological impact of financial on participants. Illness related income loss was reported as mediator of emotional distress in Zambia. Poverty, unemployment and food insecurity were key drivers of anxiety and hopelessness among young adults in Ghana, Malawi and Tanzania. Financial insecurity deepened the psychological burden experienced by perinatal women living with HIV in Kenya. Whereas chronic poverty and economic hardship were key mediators of mental distress in Uganda. Quantitative studies spanned across six countries including Uganda, South Africa, Kenya, Nigeria, and Zimbabwe. Financial stress was consistently reported with poorer mental wellbeing. Research from Uganda reported the highest level of depression, anxiety, psychological distress and reduced mental wellbeing, whereas, study from South Africa demonstrated a unique association between economic shock and psychological distress. Additionally, the principal source of financial stress varied but the direction was consistent across studies, this ranges from poverty, unemployment, household economic shock, caregiving burden and food insecurity. In Zimbabwe, socioeconomic disadvantage was a significant mediator of depressive symptoms among women (Figure 1).

Figure 1

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Data Synthesis

This was performed in three stages, first, qualitative studies were analysed using thematic synthesis in line with the [37] framework. This framework enabled the identification of recurring experiences and expression of attributed meanings. This approach was suitable because it allows progression from inductive data interpretation to the development of higher-order interpretative explanations, offering deeper depth into how financial stress impacts mental wellbeing in Africa. The second stage applied the Narrative Synthesis, following the framework by [38] for the analysis of quantitative studies. This approach was appropriate due to the heterogeneity of included studies in terms of population characteristics, measurement of outcome and statistical approaches, allowing the examination of patterns of association between financial stress and mental health outcome. The final stage involved a triangulation approach, integrating findings from both qualitative and quantitative studies to identify areas of convergence and divergence. This process strengthened the overall interpretation of findings by combining experiential evidence with statistical associations which enhanced the contextual depth and robustness of the study (Table 4).

Table 4: Thematic mapping and quotes.

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Thematic Synthesis of Qualitative Studies

Financial Stress as a Key Determinant of Psychological Distress: Financial stress emerged as key driver of psychological distress across included studies. Participants consistently linked financial hardship with stress, anxiety, feeling of hopelessness, worry, emotional exhaustion and depressive syndrome (Hall et al., 2019; Madeghe et al., 2021; Tuthill et al., 2021; Ani, Ajayi-Ojo & Batisai 2024) [39,40,41]. Within Africa, financial stress was reported as an immediate and pervasive lived experience that compounds to shape every aspect of daily life, for instance, financial lack resulted in an inability to feed properly, access healthcare service, afford transportation fees, achieve education and maintain employment, leading to continual psychological burden on an individual (Tuthill et al., 2021 [40] and Hall et al., 2024). Psychological distress was perceived as a normal and expected response to financial hardship, representing both material deprivation and emotional strain that produce a continuous circle of worry, hopelessness and emotional exhaustion among Africans (Miller et al., 2021) [42].

Socio-Cultural Mediators: Financial stress was mediated by socio- cultural responsibilities, and rarely affects an individual in isolation. Poverty led to domestic conflicts, such as arguments triggered by an inability to meet family needs or fulfil societal expectations (Madeghe et al., 2021) [39]. Wellbeing was evaluated through the lens of socio-cultural expectations including participant’s capability to fulfil family and social responsibilities (Madeghe et al., 2021; Tuthill et al., 2021) [39,40]. Failure produced negative feelings such as shame, guilt and incompleteness which intensified psychological distress beyond financial hardship itself (Madeghe et al., 2021; Tuthill et al., 2021and Mainga et al., 2022) [39,40,43]. Additionally, financial stress disrupted social relationships, that serves as social capital, resulting in conflicts, withdrawal from social gatherings, avoidance of friends due to failure to meet the socio-cultural responsibilities (Bwanika et al., 2022; Mainga et al., 2022) [44,43]. This also eroded cultural norms that bolstered community cohesion and culture.

Community Perception of Mental Health Distress: Participants expressed mental health outcomes as ‘‘thinking too much’’, ‘‘too many thoughts’’ and ‘‘worrying too much’’. These expressions were rooted in cultural understanding rather than biomedical diagnosis often reported as depression and anxiety (Bwanika et al., 2022) [44]. Importantly, these expressions extend beyond a linguistic difference to reflect culturally situated perceptions of mental health outcomes within the African communities. Unemployment, financial insecurity and inability to fulfil social expectations primarily generated emotional distress. Consequently, financial distress was conceived as an understandable response to difficult life circumstances and exposures rather than an individual psychiatric disorder. This was socially interpreted through local explanatory models of illness, rather than the western biomedical models, showing how culture influenced the understanding of mental distress.

Structural Vulnerabilities: Financial distress was situated within wider structural inequalities rather than an individual exposure. Unemployment, food insecurity, unstable economy and government policies drove financial hardship. For instance, participants living with tuberculosis reported sustained difficulties with maintaining employment in Zambia (Mainga et al., 2022) [43], Kenyan women reported that pregnancy and diagnosis of HIV infection limited their employment opportunities (Tuthill et al., 2021) [40]. Similarly, In Nigeria, the Naira cash redesign policy was attributed to disruption in cash flow and daily financial transactions, resulting to heightened financial stress [38, 41]. These outcomes demonstrated structural vulnerabilities which precedes and shapes financial stress experienced by participants and subsequently resulting poorer health outcomes.

Narrative Synthesis of Quantitative Studies

Financial Stress and Depression: Depression was the most frequently reported mental health outcomes. Kinyanda et al. (2011) [45] reported that poverty related factors, including unemployment, lower socioeconomic status, inability to meet family needs and absence of formal education were significantly associated with depression among Ugandan adults. Similarly, Appiah-Kubi et al. (2026) [46], using the structural equation modelling, demonstrated that perceived financial hardship significantly induced depression (β = 0.38), particularly among adolescents, teenagers and young adults. Additionally Machisa and Shamu (2022) [47] reported poor economic and lower socioeconomic conditions to significantly influence depressive symptoms among women.

Financial Stress and Anxiety: Studies by Yakubu et al. (2025) and Ani et al. (2024) [48,41] reported a significant association between financial stress and anxiety. This was evident through the high prevalence of anxiety among civil servants and other participants who were experiencing financial hardship. Additionally, financial hardship that resulted from government policies was associated with poor psychological wellbeing, heightened uncertainty, reduced job satisfaction and emotional distress.

Economic Shocks and Impact on Mental Wellbeing: Studies by Bhushan et al. (2025) [49] reported high levels of depressive symptoms among households that were experiencing economic shocks. Similarly, (Bhushan et al., 2025) demonstrated the association between financial resilience and improved mental health outcomes in South African households. Collectively, household participants with higher financial resilience showed lesser mental health vulnerabilities, suggesting a buffering effect offered by high socioeconomic status.

Vulnerable Population Group: Financial stress was disproportionately associated with vulnerable population groups. Tutlam et al. (2025) [50] reported that unemployment, orphanhood and stigma significantly influenced mental health outcomes among vulnerable groups such as refugee adolescents and youths living with HIV in Uganda. Similarly, In Nigeria, financial strain among pregnant women significantly increased depression and overall mental wellbeing, noting food insecurity, intimate partner violence and lack of social support network as key drivers (Wellington, 2023) [51]. Katana et al. (2020) [52] reported that caregivers experiencing heightened financial burden were more likely to develop depression, due to the substantial cost of caregiving and its impact on psychological wellbeing.

Protective Measures: Protective measures that reduced the negative impact of financial stress were reported amongst several studies. For instance, Machisa and Shamu (2022) [47] reported that access to emergency financial resources and social capital reduced the likelihood of depression among Zimbabwean women. Additionally, the availability of social support networks was identified to weaken the correlation between financial stress and prenatal depression among pregnant women in Nigeria (Wellington, 2024).

Triangulation of Qualitative and Quantitative Findings

Financial Stress as a Key Determinant of Mental Health Outcomes: Financial stress was key determinant of mental health outcomes among participants. These experiences were described qualitatively as stress, hopelessness, emotional distress, overthinking, too many thoughts and worrying too much. Quantitatively, studies identified financial stress to be associated with high levels of depression, anxiety and psychological distress. This convergence, further strengthens the association and multidimensional relationship between financial stress and mental wellbeing within the African population.

Financial Stress Operating as A Structural Pathway: Both methodological findings streamlined financial stress to operate from a wider structural pathway, linked with poverty, unemployment, food insecurity, unstable economy and lack of economic opportunities. Qualitatively evidence attributed emotional stress to persistent systemic economic issues, whereas, quantitative studies reported socioeconomic disadvantage as the key predictor of mental health outcomes.

Vulnerable Groups and Corresponding Disproportionate Burden: Vulnerable groups such as pregnant women, refugees, adolescents and individuals living with chronic illness were disproportionately impacted because financial stress interacted with their pre-existing social and health-related vulnerabilities to intensify the development of mental health conditions.

Social Support and Financial Resilience as a Buffer to Mental Distress: Protective buffering role was provided through social support networks and financial resilience within the communities. Qualitative studies reported that family and community support networks were good coping resources, whereas, quantitative studies demonstrated that access to emergency funds, stronger community social networks, and greater financial resilience significantly served as buffers that improved mental health outcomes within the community.

Discussion

Overview

Evidence from this study demonstrated a consistent relationship between financial stress and mental health outcomes. Across population groups, this was associated with increased depression, anxiety, psychological distress, emotional exhaustion, suicidal ideation and reduced overall wellbeing. The triangulation of both qualitative and quantitative findings further showed a stronger convergence, as quantitative studies statistically linked financial stress to adverse mental health outcomes, whereas qualitative evidence gave contextual insights into how participants experienced, expressed and interpreted this relationship within their socio-cultural environments. Within Africa, financial stress was driven by broader structural inequalities, influenced by complex interactions at individual, household and community levels.

Financial Stress as a Key Determinant of Mental Wellbeing

Participants experiencing financial stress reported high levels of depression, anxiety, psychological distress and reduced overall well being. This aligned with existing finding from low-and middle-income countries, which identified financial stress as key driver of MHD [10,11]. This review shows that financial stress influences mental wellbeing through diverse pathways. For instance, economic hardship creates feelings of fear, hopelessness, worries, too many thoughts and uncertainty about the future, rooted in the inability to meet basic personal and family needs. These pressures gradually erode coping capacity, ultimately influencing mental health outcomes. This pattern aligned with the transactional model of stress which posits that stress occurs when perceived individuals demands exceed available resources [53]. Overall, the finding situate this relationship to extend beyond material deprivation, encompassing a broader social and emotional dimension of overall wellbeing.

Poverty and Structural Inequalities

Financial stress was largely shaped by structural inequalities within Africa. Poverty was consistently reported as a key determinant of poor health outcomes. High levels of depression, anxiety and emotional distress was reported among low-income participants, underscoring the significant psychological burden associated with structural inequalities. This supports the social determinants of health framework, that posit health outcomes are shaped by broader social, economic and environmental conditions, rather than a sole biological or individual factor [9]. Aligning this with this review, poverty, unemployment, income instability and lack of social protective factors, created conditions that influenced individual vulnerabilities to MHD. Additionally, this review positioned Africa differently from Western countries where social welfare systems, unemployment benefits and access to mental health services provide protection. In contrast, structural issues persist within the African context, including widespread poverty, limited employment opportunities and weak healthcare. This positions financial stress as a chronic challenge rather than an episodic situation that persists to imply long-term psychological consequences. Tackling this would require an effective intervention plan that incorporate socio-economic reforms, rather than just a clinical intervention.

Unemployment, Informal Employment and Economic Instability

Unemployed participants and those affected by economic instability reported higher levels of psychological distress, depression and anxiety than participants in stable employment. This highlights the African realities where informal employment constitutes a significant fraction of the economy. Arguably, informal employment provides financial relief for individuals and households, However, it is faced with challenges of unstable income and lack of financial protection in the event of an economic shock or vulnerabilities. Such events generate financial instability and persistent worries that extend to influence mental wellbeing. Employment is closely linked to social identity, family responsibility and community expectations. Consequently, financial insecurity extends to generate social and psychological pressure that compounds mental distress. This finding also align with existing research that situates employment to functions as both economic resources and psychological mediator of health outcomes [54].

Cultural Context

This review demonstrates the cultural realities within Africa contexts and how these shape the interpretation, understanding and expression of financial stress and MHD, particularly through the lens of socio-cultural expectations. Comparatively, the Western context focuses on individual economic conditions, whereas, the African realities attribute financial stress to the inability to meet family and community expectations. This leads to feelings of shame, social exclusion and perceived failure within the socio-cultural system. Additionally, traditional and spiritual beliefs strongly influence the perception of MHD and health-seeking behaviours. This supports the argument that the application of the Western biomedical framework of health may not resonate with African realities (Letsoalo et al., 2024) [55]. This calls for the adoption of a culturally responsive framework that combines the biomedical and socio-cultural understanding of mental wellbeing for effective intervention practice in Africa.

Vulnerable Population Group

Pregnant women, young people, university students, refugees and those in informal employment were reported as vulnerable groups. Women, particularly pregnant women reported heightened psychological distress linked with the impact of financial stress, highlighting existing gender inequalities, income instability and caregiving responsibilities. Young people reported significant mental health challenges driven by unemployment, access to educational funds and economic uncertainty [56,21]. Heightened vulnerabilities were reported among refugees due to displacement, relief plans, poverty and limited access to mental health services. These findings aligned with the existing research that shows financial stress often interact with other social disadvantage to generate a compounding effect [57].

Policy Implication

This review identified several implications for policy development and practice across Africa, these include; demonstrating that mental wellbeing cannot be understood as a separate issue from the socioeconomic factors that amplify it within the African context. This highlights the need for policy advocacy that moves beyond treatment focused-approach to addressing the structural inequalities that influence health outcomes in Africa. Additionally, strengthening mental health practice would require improving social protection systems and the integration of accessible community-based mental health practices that are targeted at reducing substantial treatment gaps and improving community awareness initiatives at the community levels. This would demand cross-sectoral collaboration, strengthened mental health services and sustained funding for locally generated research evidence with recommendation for policy initiatives that improve economic stability and the integration of culturally acceptable frameworks that align with African realities.

Strengths and Limitations

The strength of this review lies in its methodological rigour that allows the triangulation of qualitative and quantitative studies, merging statistical association with lived experiences of participants to provide a more comprehensive understanding of the phenomenon. However, limitations of this review included variability in most studies, particularly in study design, sample size, population characteristics and outcome measurements, as most studies considered cross-sectional data which restrict causal interpretation over time. Additionally, included studies were mostly concentrated within a limited geographical region which potentially reduced generalised representation of Africa.

Development of Conceptual Framework

Findings from this researched informed the development of the African Financial Stress and Mental wellbeing Framework (AFSMWF). This conceptual framework integrates structural and socio-cultural pathways that interplay to shape financially induced mental health outcomes in Africa. At the structural level, macroeconomic and institutional factors including weak labour market, government policies, unemployment, poverty, informal employment, poor Primary Healthcare and limited or absent social protection systems were consistently identified as core drivers of financial stress. This positioned financial stress as a downstream effect of systemic vulnerabilities rather than an individual financial failure. Socio-culturally, this framework situates financial stress and mental wellbeing to be contextually interpreted, expressed and diagnosed through cultural norms and practices. These communal practices often lead to stigma, social exclusion and feeling of shame, which leads to a complete dependence on community-based or spiritual responses rather than biomedical intervention. Within this framework, financial stress and mental wellbeing is conceptualised as a daily and cumulative exposure rather than a short-term crisis. Notably, this highlights financial feedback loops where declining mental wellbeing reduces productivity, employability and social participation, that in turn heightens financial instability and reinforce the cycle of emotional distress.

Conclusion

This review reveals that financial stress significantly influences mental health outcomes, demonstrating that poverty, unemployment, income instability, economic shocks and structural inequalities constantly result in high levels of depression, anxiety, psychological and emotional distress. This causes financial stress to operate within the complex cultural and socioeconomic contexts that influence how mental health is understood, interpreted and expressed in Africa. Additionally, this review supports the social determinant of the health framework that illustrates how mental wellbeing is strongly rooted in structural inequalities. Addressing this challenge would require an integrated approach that combines mental health services with socioeconomic intervention targeted at reducing poverty and stabilising the economy. Such strategies should adopt indigenous practice that aligns with the African realities.

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