Abstract
Background
Depression and anxiety are pervasive mental health concerns worldwide that pose significant challenges to individuals and societies.
Aim
The aim of the study is to investigate the prevalence of co-occurring depression symptoms and anxiety among adult patients receiving care
Setting
Primary clinics within the Family and Community Medicine Department, in Najran University Hospital, Saudi Arabia
Methods
A cross-sectional study was conducted in February 2024, recruiting 300 adult patients across seven primary care clinics serving diverse populations. Data were collected using a comprehensive questionnaire that included socio-demographics, medical history, and screening for anxiety and depression symptoms. Multivariate regression analysis was employed.
Results
Most participants were aged 21–30 years (33.0%), predominantly female (64.0%), and Saudi (68.7%). Chronic diseases affected 26.4%, and 31.6% had a past medical history. Depression symptoms were reported by 21.7%, while 14% had anxiety, and 10.7% experienced both. Multivariate regression analysis revealed that stress, psychiatric conditions, herbal medication use, and sleep problems were independent risk factors for co-occurring symptoms.
Conclusion
Co-occurring anxiety and depression symptoms were prevalent in the study population.
Contribution
The findings advocate for comprehensive mental health strategies that priorities the early detection of co-occurring depression and anxiety, by considering factors essential for improving patient outcomes.
Keywords: anxiety, depression, co-occurring, vulnerability, family medicine, primary care
Introduction
Depression and anxiety are prevalent mental health disorders that significantly impact individuals and societies worldwide.1,2,3 According to the 2019 Global Burden of Disease Study, they are the leading causes of disability among mental health disorders, highlighting their substantial global health burden.1,2 Despite available treatments, the prevalence of these conditions has not decreased since 1990, indicating an ongoing mental health crisis that necessitates urgent attention.4 Depression is characterised by persistent sadness and a lack of interest in previously enjoyable activities, while anxiety manifests as excessive worry and physiological arousal.5 There is a strong correlation between anxiety and depression, particularly generalised anxiety disorder (GAD) and major depression, with many individuals experiencing both conditions simultaneously.6 The co-occurrence of these disorders is associated with greater symptom severity and functional impairment. The consequences of these disorders extend beyond individual suffering, leading to disabilities and, in severe cases, suicide.7 These far-reaching consequences compromise quality of life and impose substantial economic burdens on society.
Many individuals seek help in primary care settings, where a significant comorbidity exists – up to 56% of those with depression also have anxiety.8 In Saudi Arabia, a notable proportion of individuals visiting primary healthcare facilities exhibit signs of mental health disorders, with depression being particularly prevalent at 20%.1,9 Access to mental healthcare remains a global challenge; in the United States, around 25% of those with mental illness struggle to obtain necessary services, while less than 35% of affected individuals in developing countries receive adequate care.10,11 Alarmingly, up to 50% of individuals with common mental disorders remain undiagnosed in primary care.12 Enhanced screening and diagnostic methods are crucial to address this issue. Family medicine clinics are often the first point of contact for individuals seeking healthcare, making them vital in addressing depression and anxiety.5
The coexistence of anxiety and depression symptoms can significantly impact patients’ quality of life, treatment adherence, and overall health outcomes. While research has extensively explored these conditions in general populations and specific disease groups, there is a notable gap in understanding their co-occurrence among adult patients attending family medicine clinics in Saudi Arabia, particularly in the Najran region.13 Najran’s unique socio-cultural context, characterised by strong family ties, tribal identity, and cultural stigma surrounding mental illness, may influence mental health vulnerability and symptom expression. Local cultural perceptions may also affect help-seeking behaviours, symptom reporting, and treatment management.13 Given that the primary care setting is often the first point of contact, understanding the prevalence and co-occurrence of anxiety and depression is crucial for early identification, culturally sensitive screening, and effective intervention.
Existing research in Saudi Arabia has primarily focused on single conditions, specialised populations, or urban centres.13,14 While a recent study in Najran reported depression and anxiety prevalence rates among cancer patients, there is limited research on the co-occurrence of these conditions in family medicine clinics. This study aims to fill this gap by exploring co-occurring anxiety and depression in a primary care setting, considering the local cultural context and socio-cultural characteristics that may influence mental health vulnerability and presentation in Najran. Therefore, this study aims to assess adult patients’ vulnerability to these conditions at family medicine clinics in Najran University Hospital, quantifying the risk of co-occurring anxiety and depression and identifying influencing factors.
Research methods and design
Study design and setting
A cross-sectional study was conducted in February 2024 at the Family and Community Medicine Department of Najran University Hospital in Saudi Arabia to assess co-occurring depression symptoms and anxiety among adult patients. This design facilitated the simultaneous collection of data on depression symptoms and anxiety screening, socio-demographic characteristics, and medical history within a specific timeframe across seven primary care clinics serving diverse populations.
Sample size
A sample size of 300 participants was determined after consultation with a statistician, considering factors such as desired accuracy, expected prevalence of co-occurring disorders, and an acceptable margin of error.
Participant selection
A simple approach was employed to select participants; all adult patients who visited any family medicine clinic during the study period were invited to participate. Participants who provided informed consent were consecutively included until the desired sample size was achieved to ensure representation of the target population.
Study instrument
A comprehensive questionnaire was developed based on a thorough literature review and consultations with mental health experts. The questionnaire included questions on socio-demographic characteristics, medical history, and depression symptoms and anxiety screening. The first part of the questionnaire captured socio-demographic information, including age, sex, marital status, nationality, education, residency, family type, number of family members, employment status, workload, social relationships, economic status, and presence of stress. The second part focused on medical characteristics, including chief complaints, complaint duration, current illness progression, presence of chronic diseases, past medical history, psychiatric diseases, regular medication use, herbal treatment or supplement use, allergies, sleep problems, pregnancy and lactation status, smoking habits, nutrition, physical activity, and body weight. The questionnaire’s third part combined depression symptoms and anxiety screening using standardised tools. The Patient Health Questionnaire-2 (PHQ-2) served as a brief depression symptoms-screening tool, consisting of two questions focused on depressed mood and loss of interest over the past 2 weeks. The Generalised Anxiety Disorder 7-item scale (GAD-7) assessed anxiety through seven items covering various anxiety experiences during the same period.
This two-stage method efficiently identifies individuals needing further evaluation and potential interventions for depression symptoms. Previous studies with over 500 participants demonstrated the PHQ-2’s effectiveness in identifying major depressive disorder (MDD) and any depressive disorder with prevalence rates of 7% and 18%.15 The GAD-7 accurately identifies probable anxiety disorder cases and gauges anxiety severity, with higher scores correlating with impaired daily functioning and increased missed workdays because of disability. Despite the co-occurrence of anxiety and depression symptoms, factor analysis confirmed the GAD-7’s ability to differentiate between these conditions.16 While primarily designed for GAD, the GAD-7 has also demonstrated utility for assessing other anxiety disorders, including panic disorder, post-traumatic stress disorder, and social anxiety disorder.17
A PHQ-2 score of 3 or higher indicates an increased likelihood of depressive symptoms and warrants further evaluation using the PHQ-9, other diagnostic tools, or a structured clinical interview to confirm the diagnosis accurately.15 In the context of anxiety disorder screening, a threshold of 8 or higher on the scale is deemed appropriate for identifying potential cases, mandating subsequent diagnostic scrutiny to ascertain both the presence and specific subtype of anxiety disorder.
Scoring criteria
A score of three or higher on the PHQ-2 was considered indicative of potential MDD, warranting further evaluation. For the GAD-7, a score of 8 or higher was considered appropriate for identifying potential cases of anxiety disorders.
Questionnaire validation
The questionnaire was rigorously evaluated by three mental health experts to assess its validity and reliability. Based on their feedback, appropriate modifications were made to enhance the questionnaire’s validity and reliability and ensure its suitability for the study’s objectives.
Data collection procedure
After thorough training, nurses incorporated the questionnaire into their initial patient intake processes. Patients who provided informed consent completed the questionnaire during a brief interview conducted by nurses, ensuring standardised data collection procedures.
Statistical analysis
Data analysis was conducted using the Statistical Packages for Social Sciences (SPSS) version 26 to ensure robust statistical analyses to comprehensively address the study objectives. Descriptive statistics were used to summarise the categorical variables and presented as frequencies and percentages. The relationship between co-occurring anxiety and depression with socio-demographic and medical characteristics was analysed using the Chi-square test. Significant results were further analysed using a multivariate regression model to determine the independent risk factors; corresponding odds ratios and 95% confidence intervals (CIs) were calculated. The significance level was set to p < 0.05.
Ethical considerations
Ethical clearance to conduct this study was obtained from the Faculty of Medicine at Najran University (No. CSR/NU/2023/1046). Ethical clearance and informed consent were obtained before the start of the survey.
Results
The study found that most participants were aged 21–30 years (33.0%), predominantly female (64.0%), and married (52.1%). The majority were Saudi (68.7%) with university education, and 71.3% were unemployed, as shown in Table 1.
TABLE 1.
Socio-demographic characteristics of participants (N = 300).
| Variables | n | % |
|---|---|---|
| Age group (years) | ||
| ≤ 20 | 43 | 14.3 |
| 21–30 | 99 | 33.0 |
| 31–40 | 40 | 13.3 |
| 41–50 | 59 | 19.7 |
| 51–60 | 39 | 13.0 |
| > 60 | 20 | 06.7 |
| Sex | ||
| Male | 108 | 36.0 |
| Female | 192 | 64.0 |
| Marital status† | ||
| Single | 120 | 41.7 |
| Married | 150 | 52.1 |
| Divorced | 08 | 02.8 |
| Widowed | 10 | 03.5 |
| Nationality | ||
| Saudi | 206 | 68.7 |
| Non-Saudi | 94 | 31.3 |
| Educational level | ||
| Illiterate | 27 | 09.0 |
| Secondary or below | 88 | 29.3 |
| University education | 154 | 51.3 |
| Postgraduate | 31 | 10.3 |
| Residence location | ||
| Rural | 22 | 07.3 |
| Semi-urban | 29 | 09.7 |
| Urban | 249 | 83.0 |
| Family type† | ||
| Nuclear family | 102 | 41.5 |
| Extended family | 144 | 58.5 |
| Number of family members | ||
| < 3 | 28 | 09.7 |
| 3–7 | 169 | 58.3 |
| 8–14 | 84 | 29.0 |
| ≥ 15 | 09 | 03.1 |
| Number of children | ||
| No | 153 | 51.0 |
| 1–2 | 74 | 24.7 |
| 3–5 | 51 | 17.0 |
| > 5 | 22 | 07.3 |
| Employment status | ||
| Unemployed | 214 | 71.3 |
| Government employee | 53 | 17.7 |
| Private employee | 27 | 09.0 |
| Non-profit | 01 | 0.30 |
| Self-employed | 05 | 01.7 |
, Respondents who did not provide their socio-demographic information were excluded from the analysis.
Regarding the medical characteristics of participants, chronic diseases were reported by 26.4% of participants, and 31.6% had a documented past medical history. Psychiatric illnesses affected 7.4% of patients. Regular medication usage was seen in 47.4%. Allergies were found in 13.8% of cases, and 35.4% reported sleep problems. Most were non-smokers (90.5%), while 73.3% consumed a mixed diet (Includes both plant-based foods and animal products, such as meats, dairy, and eggs, alongside a variety of fruits, vegetables, and grains). Physical activity levels ranged from none to mild (46.4%). Body weight distribution showed 39.7% normal weight, 33.6% overweight or obese, and 5.1% underweight.
Figure 1 shows that 21.7% of participants had depression symptoms, whereas 14% had anxiety. A significant proportion (10.7%) of patients experienced both conditions simultaneously. This highlights the prevalence of anxiety and depression in the population, with a substantial portion of patients exhibiting comorbid symptoms.
FIGURE 1.
Prevalence of anxiety and depression and the co-occurrence of anxiety and depression.
Table 2 illustrates the relationship between co-occurring anxiety and depression and the socio-demographic characteristics of participants. Individuals aged 30 years and younger exhibited higher prevalence rates compared to those over 30. Marital status, employment status, workload, and social relationships showed significant associations. Stress significantly correlated with a higher prevalence of co-occurring anxiety and depression among those reporting stress.
TABLE 2.
Associations between co-occurring anxiety and depression and the socio-demographic characteristics (N = 300).
| Factor | Co-occurring anxiety and depression |
P-value‡ | |||
|---|---|---|---|---|---|
| Yes (N = 32) |
No (N = 268) |
||||
| n | % | n | % | ||
| Age group (years) | - | - | - | - | < 0.001* |
| ≤ 30 | 25 | 78.1 | 117 | 43.7 | - |
| > 30 | 07 | 21.9 | 151 | 56.3 | - |
| Sex | - | - | - | - | 0.554 |
| Male | 10 | 31.3 | 98 | 36.6 | - |
| Female | 22 | 68.8 | 170 | 63.4 | - |
| Marital status† | - | - | - | - | < 0.001* |
| Unmarried | 26 | 83.9 | 112 | 43.6 | - |
| Married | 05 | 16.1 | 145 | 56.4 | - |
| Nationality | - | - | - | - | 0.222 |
| Saudi | 25 | 78.1 | 181 | 67.5 | - |
| Non-Saudi | 07 | 21.9 | 87 | 32.5 | - |
| Educational level | - | - | - | - | 0.918 |
| Secondary or below | 12 | 37.5 | 103 | 38.4 | - |
| University or higher | 20 | 62.5 | 165 | 61.6 | - |
| Family type† | - | - | - | - | 0.512 |
| Nuclear family | 10 | 35.7 | 92 | 42.2 | |
| Extended family | 18 | 64.3 | 126 | 57.8 | |
| Number of family members | - | - | - | - | 0.666 |
| ≤ 7 | 20 | 64.5 | 177 | 68.3 | - |
| > 7 | 11 | 35.5 | 82 | 31.7 | - |
| Number of children | - | - | - | - | 0.169 |
| Yes | 12 | 37.5 | 135 | 50.4 | - |
| No | 20 | 62.5 | 133 | 49.6 | - |
| Employment status | - | - | - | - | 0.084 |
| Unemployed | 27 | 84.4 | 187 | 69.8 | - |
| Employed | 05 | 15.6 | 81 | 30.2 | - |
| Workload† | - | - | - | - | 0.285 |
| Low | 20 | 76.9 | 135 | 66.5 | - |
| Moderate to intolerable | 06 | 23.1 | 68 | 33.5 | - |
| Social relationships† | - | - | - | - | < 0.001* |
| Healthy | 19 | 61.3 | 222 | 87.1 | - |
| Toxic | 12 | 38.7 | 33 | 12.9 | - |
| Having stress | - | - | - | - | < 0.001* |
| Yes | 31 | 96.9 | 145 | 54.1 | - |
| No | 1 | 3.1 | 123 | 45.9 | - |
, Respondents who did not provide their socio-demographic information were excluded from the analysis.
, p-value has been calculated using the Chi-square test.
, Significant at p < 0.05 level.
Table 3 examines the associations between co-occurring anxiety and depression and medical characteristics. Current illness progression, psychiatric co-morbidities, herbal treatments, and sleep problems were linked to increased co-occurring. Other factors showed no significant associations.
TABLE 3.
Associations between co-occurring anxiety and depression and medical characteristics (N = 300).
| Factor | Co-occurring anxiety and depression |
P-value‡ | |||
|---|---|---|---|---|---|
| Yes (N = 32) |
No (N = 268) |
||||
| n | % | n | % | ||
| Duration of complaint (months) | - | - | - | - | 0.482 |
| < 1 | 20 | 95.2 | 166 | 86.9 | - |
| ≥ 1 | 01 | 04.8 | 25 | 13.1 | - |
| Current illness progression† | - | - | - | - | 0.058 |
| Improved | 06 | 20.0 | 69 | 30.5 | - |
| Same | 16 | 53.3 | 131 | 58.0 | - |
| Deteriorated | 08 | 26.7 | 26 | 11.5 | - |
| Having chronic disease† | - | - | - | - | 0.142 |
| No | 27 | 84.4 | 182 | 72.2 | - |
| Yes | 05 | 15.6 | 70 | 27.8 | - |
| Past medical history† | - | - | - | - | 0.830 |
| No | 20 | 66.7 | 153 | 68.6 | - |
| Yes | 10 | 33.3 | 70 | 31.4 | - |
| Having a psychiatric disease† | - | - | - | - | < 0.001* |
| No | 19 | 63.3 | 243 | 96.0 | - |
| Yes | 11 | 36.7 | 10 | 04.0 | - |
| Using regular medications† | - | - | - | - | 0.953 |
| No | 17 | 53.1 | 133 | 52.6 | - |
| Yes | 15 | 46.9 | 120 | 47.4 | - |
| Using herbal treatment† | - | - | - | - | 0.001* |
| No | 23 | 71.9 | 236 | 90.8 | - |
| Yes | 09 | 28.1 | 24 | 09.2 | - |
| Using supplement† | - | - | - | - | 0.314 |
| No | 25 | 78.1 | 221 | 85.0 | - |
| Yes | 07 | 21.9 | 39 | 15.0 | - |
| Having allergy† | - | - | - | - | 0.053 |
| No | 24 | 75.0 | 225 | 87.5 | - |
| Yes | 08 | 25.0 | 32 | 12.5 | - |
| Sleep problems† | - | - | - | - | < 0.001* |
| No | 06 | 18.8 | 182 | 70.3 | - |
| Yes | 26 | 81.3 | 77 | 29.7 | - |
| Smoking† | - | - | - | - | 0.057 |
| Non-smoker | 26 | 81.3 | 242 | 91.7 | - |
| Smoker or Ex-smoker | 06 | 18.8 | 22 | 08.3 | - |
| Nutrition† | - | - | - | - | 0.297 |
| Healthy food | 05 | 15.6 | 49 | 18.6 | - |
| Unhealthy food | 05 | 15.6 | 20 | 07.6 | - |
| Mixed | 22 | 68.8 | 195 | 73.9 | - |
| Physical activity† | - | - | - | - | 0.908 |
| None | 07 | 21.9 | 64 | 24.3 | - |
| Mild | 16 | 50.0 | 121 | 46.0 | - |
| Moderate to vigorous | 09 | 28.1 | 78 | 29.7 | - |
| Body weight† | - | - | - | - | 0.093 |
| Normal | 12 | 50.0 | 104 | 50.7 | - |
| Overweight or obese | 08 | 33.3 | 90 | 43.9 | - |
| Underweight | 04 | 16.7 | 11 | 05.4 | - |
, Respondents who did not provide their socio-demographic information were excluded from the analysis.
, p-value has been calculated using the Chi-square test.
, Significant at p < 0.05 level.
Table 4 presents multivariate regression analysis identifying stress as a significant predictor of co-occurring anxiety and depression, with stressed participants nearly nine times more likely to experience co-occurring. Having a psychiatric disorder was also significantly associated, with affected individuals being over 15 times more likely to exhibit co-occurring. In addition, those using herbal treatments and experiencing sleep problems were four times more likely to show these symptoms. However, age, marital status, and social relationships showed no significant associations.
TABLE 4.
Multivariate regression analysis to determine the significant independent risk factor for co-occurring anxiety and depression (N = 300).
| Factor | AOR | 95% CI | p-value |
|---|---|---|---|
| Age group (years) | |||
| ≤ 30 | Ref | - | - |
| > 30 | 0.453 | 0.096–2.136 | 0.317 |
| Marital status† | |||
| Unmarried | Ref | - | - |
| Married | 0.240 | 0.046–1.255 | 0.091 |
| Social relationships† | |||
| Healthy | Ref | - | - |
| Toxic | 1.007 | 0.312–3.246 | 0.991 |
| Having stress | |||
| No | Ref | - | - |
| Yes | 8.945 | 1.103–72.563 | 0.040* |
| Having a psychiatric disease† | |||
| No | Ref | - | - |
| Yes | 15.505 | 3.798–63.00 | < 0.001* |
| Using herbal treatment† | |||
| No | Ref | - | - |
| Yes | 3.675 | 1.069–12.631 | 0.039* |
| Sleep problems† | |||
| No | Ref | - | - |
| Yes | 3.803 | 1.260–11.480 | 0.018* |
AOR, adjusted odds ratio; CI, confidence interval.
, Respondents who did not provide their socio-demographic information were excluded from the analysis.
, Significant at p < 0.05 level.
Discussion
This study examined the susceptibility of adult patients at family medicine clinics in Najran University Hospital to co-occurring anxiety and depression. The findings revealed a co-occurrence rate of 10.7%, with depression prevalence (21.7%) higher than that of anxiety (14%). These results provide valuable insights into the existing literature, especially in Saudi Arabia, where research on the co-occurrence of these mental health conditions has been limited. Given the high comorbidity and often indistinguishable symptoms of these disorders,18 there is a pressing need for enhanced screening and intervention strategies in primary care settings to effectively address these prevalent issues.
When comparing the study’s findings with those of previous studies, it is noteworthy that the rates of co-occurring varied across different regions and populations. For instance, a study conducted in Brazil reported a higher incidence of co-occurring, with anxiety prevalent among 74% of depressed patients and depression common among 61% of anxiety patients.19 Similarly, 27% of elderly individuals in the Netherlands had depression and coexisting general anxiety disorders.20 These variations highlight the complex interplay between anxiety and depression and underscore the need for tailored interventions that consider cultural, demographic, and contextual factors. Interestingly, this study identified several risk factors associated with coexisting anxiety and depression, including stress, psychiatric diagnoses, use of traditional medicine, and sleep disorders. These findings align with existing literature regarding the multifactorial nature of these conditions. However, the study did not find significant differences in co-occurring symptoms based on chronic conditions, medical history, or physical activity, which contrasts with De La Rosa et al. (2024) and underscores the need for further research across diverse populations and settings.21
Patients with mental health conditions are often at increased risk for comorbidities and frequently utilise healthcare services. Up to 80% of people worldwide use herbal medicine, with around 22% of patients in Australia seeking treatment for mental illness opting for herbal remedies.22 This highlights the importance of healthcare providers engaging in discussions about these practices with their patients. This study found that younger age, unmarried status, and toxic relationships predict co-occurring anxiety and depression, supporting previous research on the role of socio-demographic factors. However, other variables did not significantly impact these conditions, which is consistent with Beekman et al..23 Unlike other study found no significant link between age and depression, highlighting the need for further research on these complex relationships.24 Prina et al. found that comorbid conditions were primarily linked to higher disability scores, independent of sex and socioeconomic status.25
Furthermore, this study aligns with Hsu et al., identifying stress, psychiatric diagnoses, and sleep disorders as key risk factors for co-occurring anxiety and depression.26 This reinforces the understanding that these factors play a critical role in the development of both conditions, emphasising the need for targeted interventions that address these underlying issues. Notably, factors such as illness progression, medication intake, and dietary habits were not significant predictors, contrasting with existing literature and highlighting the need for a re-evaluation of these relationships in future research.
Strengths and limitations
The study contributes valuable insights into anxiety and depression in Saudi Arabia, utilising validated tools and a representative sample. Limitations include self-reported data, a cross-sectional design, and a focus on one hospital, which may introduce bias. Another limitation is that positive PHQ-2 screening results were not followed by a structured clinical interview or PHQ-9 assessment to confirm depressive disorder. Therefore, the findings reflect a depression rather than clinically diagnosed depression, and the prevalence may be overestimated. Future research should include longitudinal studies.
Conclusion
This study highlights the significant prevalence of co-occurring anxiety and depression among adult patients at Najran University Hospital, with 10.7% affected. Key risk factors include stress, psychiatric co-morbidities, herbal medicine use, and sleep problems, emphasising the need for integrated treatment approaches to address these interconnected issues. Further prospective studies are necessary to clarify the causal relationships among these variables. Comparisons with existing literature reveal variability in prevalence rates, underscoring the complexity of these disorders. Overall, the findings advocate for comprehensive mental health strategies that prioritise early detection while considering socio-demographic, medical, and cultural factors in assessment and management, which are crucial for effectively addressing these complexities and improving patient outcomes.
Acknowledgements
The author would like to thank Editage (www.editage.com) for their assistance with English language editing.
Competing interests
The author declares that no financial or personal relationships inappropriately influenced the writing of this article.
CRediT authorship contribution
Nasser Saeed Alqahtani: Conceptualisation, Methodology, Formal analysis, Investigation, Writing – original draft, Visualisation, Project administration, Software, Validation, Data curation, Resources, Writing – review & editing, Supervision, Funding acquisition. The author confirms that this work is entirely their own, has reviewed the article, approved the final version for submission and publication, and takes full responsibility for the integrity of its findings.
Data availability
All data generated and analysed are included in this research article and are available from the corresponding author, Nasser Saeed Alqahtani, upon reasonable request.
Disclaimer
The views and opinions expressed in this article are those of the author and are the product of professional research. They do not necessarily reflect the official policy or position of any affiliated institution, funder, agency, or that of the publisher. The author is responsible for this article’s results, findings, and content.
Funding Statement
Funding information This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Footnotes
How to cite this article: Alqahtani NS. Vulnerability to anxiety and depression symptoms co-occurring among adult patients at family medicine clinics in Najran University Hospital, Saudi Arabia. S Afr J Psychiat. 2026;32(0), a2567. https://doi.org/10.4102/sajpsychiatry.v32i0.2567
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data generated and analysed are included in this research article and are available from the corresponding author, Nasser Saeed Alqahtani, upon reasonable request.