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
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.
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.
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.
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).
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
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.
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.
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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