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A clinical analysis of the presentation of depression in Pakistan

Published online by Cambridge University Press:  10 August 2026

Shiza Ihtsham*
Affiliation:
School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan.
Abdullah Arshad
Affiliation:
School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan.
Clifton M. Chow
Affiliation:
Department of Psychiatry at Cambridge Hospital, Harvard Medical School, Cambridge, Massachusetts, USA
Sobia Qazi
Affiliation:
Department of Infectious Diseases, Institute of Public Health and Services Hospital, Lahore, Pakistan
Zainab Mudassar
Affiliation:
School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan.
Muhammad Ebaad Paracha
Affiliation:
School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan.
Basmaa Ali
Affiliation:
Harvard Medical School, Boston, USA
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Abstract

Background

Major depressive disorder is a leading cause of disability worldwide, yet its clinical presentation varies substantially across cultural contexts. In many low- and middle-income settings, including Pakistan, depression is frequently expressed through somatic rather than psychological symptoms, contributing to under-recognition in general medical settings.

Aims

To estimate the prevalence of depression among patients attending a tertiary care medical clinic in Pakistan, and to characterise the somatic and psychological symptom patterns associated with depression severity.

Method

We conducted a cross-sectional study of 356 adult patients recruited from a general medicine out-patient clinic in Lahore, Pakistan. Depression and anxiety were assessed using Patient Health Questionnaire 9 (PHQ-9) and Generalised Anxiety Disorder 7 scales. For patient encounters with missing PHQ-9 scores, symptom-based prediction using a random forest model was applied. Clinical notes were analysed using natural language processing to extract somatic and psychological symptoms. Logistic regression models were used to identify predictors of moderate-to-severe depression.

Results

Sixty-three per cent of participants met the criteria for moderate-to-severe depression, with 42.4% having comorbid anxiety and depression. Psychological symptoms such as low mood and anhedonia were rarely documented, whereas somatic complaints predominated across all severity levels. Epigastric pain (odds ratio 2.31–2.50) and anxiety (odds ratio 5.87–5.95) were found to be strong predictors of moderate-to-severe depression, whereas male gender was associated with lower likelihood (odds ratio approximately 0.54). Constipation showed a borderline association with depression severity, whereas diarrhoea did not.

Conclusions

Depression in this clinical setting is predominantly expressed through somatic symptoms, particularly gastrointestinal complaints and pain syndromes. In general medical clinics in Pakistan, routine depression screening should be implemented for patients presenting with unexplained somatic symptoms.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of Royal College of Psychiatrists
Figure 0

Table 1 Demographic composition of the study sample. The sample comprised 356 adults, including 77 men and 279 women. Patient Health Questionnaire 9 (PHQ-9) scores were directly collected for 297 participants, with symptom-based prediction using a random forest model applied to estimate PHQ-9 scores for the remaining 59 encounters with missing questionnaire data. All analyses were conducted on the combined data-set of observed and predicted PHQ-9 valuesTable 1 long description.

Figure 1

Fig. 1 Age distribution (years) of study participants.

Figure 2

Table 2 Severity distribution for depression and anxiety (N = 356)Table 2 long description.

Figure 3

Table 3 Anxiety–depression overlap and missing General Anxiety Disorder 7 (GAD-7) breakdown (N = 356)Table 3 long description.

Figure 4

Fig. 2 Prevalence of symptoms across all Patient Health Questionnaire 9 (PHQ-9) categories: all study participants.

Figure 5

Fig. 3 Prevalence of symptoms across all Patient Health Questionnaire 9 (PHQ-9) categories: patients with depression.

Figure 6

Fig. 4 Prevalence of symptoms across all Patient Health Questionnaire 9 (PHQ-9) categories: patients with no depression.

Figure 7

Fig. 5 Prevalence of symptoms across all Patient Health Questionnaire 9 (PHQ-9) categories: patients with moderate depression.

Figure 8

Fig. 6 Prevalence of symptoms across all Patient Health Questionnaire 9 (PHQ-9) categories: patients with moderately severe depression.

Figure 9

Fig. 7 Prevalence of symptoms across all Patient Health Questionnaire 9 (PHQ-9) categories: patients with severe depression.

Figure 10

Table 4 Most common symptoms reported by patients, grouped by severity of depressionTable 4 long description.

Figure 11

Table 5 Constipation and diarrhoea in gastrointestinal symptom compositesTable 5 long description.

Figure 12

Table 6 Constipation and diarrhoea as separate indicatorsTable 6 long description.

Figure 13

Fig. 8 Overlap analyses of bodily aches and fever.

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