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Original Article
ARTICLE IN PRESS
doi:
10.25259/ABMH_2_2026

Assessing the Prevalence of Adult Depression among Information Technology Professionals: An online Cross-Sectional Study

Hyderabad Central University, Hyderabad, Telangana, India.

*Corresponding author: Anitha CT, Hyderabad Central University, Hyderabad, Telangana, India. actmd@uohyd.ac.in

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Manoj AS, CT A. Assessing the Prevalence of Adult Depression among Information Technology Professionals: An online Cross-Sectional Study. Acad Bull Ment Health doi: 10.25259/ABMH_2_2026

Abstract

Objectives:

The objective of this study is to estimate the incidence of depression among information technology (IT) workers in Bengaluru, India, and identify factors that affect their mental well-being.

Material and Methods:

This study was conducted using a cross-sectional design, comprising a total sample size of 280 IT workers in Bengaluru, aged between 18 to 50 years.They filled the socio-demographic data form and the PHQ-9 questionnaire to assess the degree of their depression. Different associations were determined using the chi-square and Fisher’s exact tests.

Results:

With 75.36% of IT professionals reporting some form of depression, the results showed a significant prevalence of reported depressed symptoms. 31.07% of people had mild depression, followed by moderate (18.93%), moderately severe (18.21%), and severe (7.14%) depression. A significant factor that predicted depression was gender, with a higher prevalence of depressed symptoms (84.13%) in females. Moderately severe depression was the most common among female participants, with a severity distribution of 15.87% minimal, 26.98% mild, 17.46% moderate, 27.78% moderately severe, and 11.90% severe depression.

Conclusion:

The report emphasizes how critical it is for the IT industry to implement focused, gender-sensitive mental health interventions. Workplace wellness initiatives and strong support networks are essential to creating a psychologically healthy workplace. Partnerships between government organizations, businesses, non-profits, and mental health professionals are necessary.

Keywords

Depression
IT professionals
Urban Bengaluru
Mental health
Workplace wellness

INTRODUCTION

Among the leading causes of disability globally is depression, affecting over 280 million people, including approximately 5% of adults World Health Organization (WHO), 2023.[1] Among working professionals, depression has emerged as a critical occupational health concern, with job-related stressors such as excessive workload, job insecurity, long working hours, and poor work-life balance contributing to its rising prevalence (International Labor Organization,2022).[2] Studies indicate that mental health disorders cost the world economy around $1 trillion every year as a result of lost productivity. WHO, 2022).[3] The rapidly expanding global information technology (IT) sector is especially vulnerable to mental health disorders because IT workers deal with particular occupational stressors like long workdays, high cognitive demands, deadline pressure, and constant digital connectivity, all of which raise the risk of anxiety and depression.[4] A recent meta-analysis found that IT employees revealed noticeably greater degrees of psychological disturbance in comparison to professionals in other industries[5], and studies in high-tech hubs like Silicon Valley of India have highlighted concerning trends in burnout and depressive disorders among software engineers, coders, and data analysts.[6] India carries a substantial burden of mental health disorders, with 56 million people experiencing depressive disorders and 38 million affected by anxiety disorders.[7] The National Mental Health Survey (NMHS) 2015-16 revealed that 15% of Indian adults need mental health interventions, with 1 in 20 individuals reporting symptoms of depression NMHS 2016.[8] Despite these alarming statistics, mental health awareness and access to treatment remain limited due to stigma, a lack of mental health professionals, and inadequate workplace policies.[9] The WHO states that depression is “marked by persistent sadness, lack of enjoyment or interest in previously pleasurable activities, and a lack of ability to do regular tasks” for at least two weeks. Additional symptoms include fatigue, difficulty concentrating, “sleep disturbances, and suicidal thoughts WHO, 2023.[10] The International Classification of Diseases (ICD-11) further categorizes depression into Major Depressive Disorder and Persistent Depressive Disorder based on severity and duration (WHO, 2022).[11]

It is said that Bengaluru is the “Silicon Valley of India.” It is commonly known as home to nearly 80% of the world's leading IT corporations, contributing $110 billion to India's gross domestic product and 34-40% of India's IT exports (National Association of Software and Service Companies [NASSCOM], 2023).[12] This rapid technological advancement has cultivated a high-stress work environment marked by extended working hours, constant connectivity, and performance pressures, while creating many job prospects.[13]

Many studies have shown that depression rates among Indian IT workers are alarmingly high, especially in places like Hyderabad, Bengaluru, and Pune.[14,15] Another major worry is the high rate of professional suicide, which includes IT workers. India recorded over 13,000 suicides among working professionals in 2022, with many linked to work-related stress, burnout, and mental health conditions (National Crime Records Bureau, 2023).[15] Despite these urgent issues, Indian workplace mental health policies are yet insufficient, and IT personnel do not have access to focused interventions. For long-term viability, organizational productivity, and employee well-being in the IT industry must be addressed.

Acknowledging this context as the focal one, the understanding of the emotional resistance in the IT personnel of Bengaluru has adopted an increasingly more important strategy with the growth of the Internet. The intent of this cross-sectional research is the detection of the depression rate among IT professionals in this region, which, according to the authors, today remains a major gap in knowledge in the area of mental health.[16,17] The analysis of the potential risk factors and the launching of the focused interventions that would comply with the number of the target population this study is working with will be a generation and awareness creation through mental health, and establish a tabooed ground for the discussion of well-being in the high-stress environment of IT in Bengaluru.[18] The study would serve as a feedback loop with potential public health initiatives, where[19],mindset shifts resulting in a better understanding of mental health and initiation of programs for all employees[19], inclusive of IT professionals, could be delivered. Above all, the research at the core of the project work will strive to develop a friendly and trustworthy work environment for IT employees within the framework of international protocol.[20,21]

MATERIAL AND METHODS

Study design

A cross-sectional descriptive study was conducted among IT professionals aged 18 to 50 years in Bengaluru, India, from December 2023 to April 2024. The study adhered to all relevant regulations, and participants were recruited from various IT companies in the region.

Study setting and participants

The study took place in Bengaluru, India, targeting IT professionals engaged in roles such as systems analysts, database administrators, full-stack developers, software engineers, data scientists, network engineers, and similar positions. Participants were required to be currently employed in a full-time or part-time IT role, with contractors and consultants included if they met other eligibility criteria. Inclusion criteria were adults aged 18-50 years, IT professionals working in roles involving planning, designing, developing, implementing, managing, or supporting IT infrastructure, systems, or applications, currently employed in Bengaluru, India, and those who provided informed consent after being fully informed about the study's purpose and procedures. Exclusion criteria included individuals not currently engaged in an IT-related role, participants outside the specified age range, individuals who refused or were unable to provide informed consent, participants with acute or chronic medical conditions that could limit their ability to fully participate or influence the study results, and individuals who did not respond after being reminded about the study three times.

Sample size calculation

The prevalence of depressive symptoms among IT professionals.[22] which was estimated at 40% based on a prior study carried out in Delhi,[5] was used to establish the sample size. Applying the equation[21] n=4pq/L2 was used to determine the sample size. In this formula, p represents the predicted prevalence of depressive symptoms, q is equal to 100−p, and L is the permitted error or precision, which is 15% of p. Approximately 280 participants were found to be the appropriate sample size, taking into consideration a 5% non responsive rate.

Inclusion and exclusion criteria:

Inclusion criteria:

  • Adults aged between 18 and 50 years.

  • Currently employed in full-time or part-time IT roles (contractors and consultants included if they met other criteria).

  • Employed in positions such as systems analysts, software engineers, data scientists, network engineers, or similar roles.

  • Providing informed consent after understanding the study's purpose and procedures.

Exclusion criteria:

  • Individuals not employed in an IT-related role.

  • Participants outside the specified age range (18-50 years).

  • Individuals who were unable or unwilling to provide informed consent.

  • Those with acute or chronic medical conditions that could influence depression scores.

  • Non-respondents who did not complete the survey after up to three reminders.

These criteria were set to make the sample representative of the IT workforce and to restrict confounding variables, including pre-existing medical conditions that could impact depression levels.

Rationale for using PHQ-9:

The patient health questionnaire-9 (PHQ-9) was employed to measure the severity of depressive symptoms during the last two weeks. The PHQ-9 was chosen because it is a widely validated and reliable tool frequently used in epidemiological studies to quantify depression severity. The tool consists of nine items, each scored from 0 ("not at all") to 3 ("almost every day"), yielding a total score ranging from 0 to 27. The PHQ-9 categorizes depression severity into:

  • 0–4: Minimal or no depression

  • 5–9: Mild depression

  • 10–14: Moderate depression

  • 15–19: Moderately severe depression

  • 20–27: Severe depression

While the PHQ-9 is not a diagnostic tool, it is effective in identifying the severity of depressive symptoms and is commonly used in both clinical and research settings. In this study, the PHQ-9 was used as a screening tool to assess depressive symptoms rather than to establish a clinical diagnosis of depression.

Data collection procedure

An online convenience sampling technique was used to find participants, which may introduce selection bias as participation depended on voluntary responses through digital platforms. An online survey sent through Google Forms was used to gather data. The questionnaire component comprised the PHQ-9[23] and socio-demographic items. The PHQ-9 was used in this study as a screening tool to assess depressive symptoms over the past two weeks rather than for diagnostic purposes. The PHQ-9 is a widely validated instrument frequently used in epidemiological studies due to its reliability, ease of use, and ability to quantify depression severity.[23] Each of its nine items is rated a 0 for “not at all,” 1 for “several days,” 2 for “more than half the days,” and 3 for “almost every day,” a total possible score ranging from 0 to 27.[24,25] The interpretation of PHQ-9 scores is categorized as follows: 5–9 (mild depression), 10–14 (moderate depression), 15–19 (moderately severe depression), 20–27 (severe depression), and 0–4 (minimal or no depression).[23] Occasional symptoms with minor functional impairment characterize mild depression, whereas moderate depression involves more frequent symptoms that may require clinical attention. Moderately severe depression significantly affects daily functioning and likely requires active treatment, while severe depression involves persistent and intense symptoms necessitating immediate medical intervention. Participants with moderate to severe PHQ-9 scores would need additional clinical examination for a conclusive diagnosis, as the PHQ-9 was utilized for screening reasons in this study. By drawing a distinction, the results are guaranteed to appropriately reflect the prevalence of depressed symptoms without relying exclusively on self-reported data to make clinical diagnoses.

Questionnaire development:

Employment status, household income, marital status, age, gender, education level, and years of IT business experience were among the socio-demographic topics. Over the previous two weeks, the PHQ-9 assessed depressive symptoms.[26] Each item was scored ranging from 0 (not at all) to 3 (nearly every day), with a total score between 0 and 27.[27, 23,24]

Distribution:

The questionnaire link was distributed via WhatsApp, email, and the IT company's human resources (HR) departments. Data were collected from 26 January to 31 March 2024. Weekly reminders were sent, with up to three reminders for non-respondents.

The Google Forms settings were also configured to ensure that only one response was accepted per participant account. While cleaning the data, all the responses were checked for any signs of duplicate responses. A total of 280 responses were included in the final data analysis. It was not clear exactly how many people initially received the invitation, as it was distributed through several digital channels, including WhatsApp, email, and HR networks.

Confidentiality:

All responses were kept confidential, and participants’ privacy was protected throughout the study.

Statistical analysis

Data was analyzed using Jamovi and Microsoft Excel 2019. Descriptive statistics were employed to describe sociodemographics, and chi-square and Fisher's Exact tests were employed to determine significance with depression levels. A significance level of p < 0.05 and confidence intervals of 95% were considered. Normality, independence, and homoscedasticity were assumed.

Handling biases and ensuring reliability:

Self-report bias was reduced through a multi-platform online survey with reminders. Use of the validated PHQ-9 and a large, diverse sample improved reliability. However, the cross-sectional design limits causal inference, and results indicate depression prevalence rather than clinical diagnoses among IT professionals.

Ethical considerations

The study followed the 1975 Declaration of Helsinki (2013 revision) and received ethical approval from the University of Hyderabad Institutional Ethics Committee (UH/IEC/2023/570). Written informed consent was obtained, and participant privacy and confidentiality were maintained.

RESULTS

The study assessed depression using a PHQ-9 online survey among 280 IT professionals in urban Bengaluru. The gender distribution was 56.8% males and 43.2% females [Table 1]. The overall prevalence of depressive symptoms was 75.36%, with the highest proportion in the mild category (31.07%), followed by moderate (18.93%), moderately severe (18.21%), and severe depression (7.14%) [Table 2].

Table 1: Socio-demographic profile
Socio-demographic factors Frequency % N=280
Age
18-25 43 (15.36)
26-30 129 (46.07)
31-35 75 (26.79)
36-40 24 (8.57)
41-45 7 (2.50)
>45 2 (0.71)
Gender
Male 154 (55.00)
Female 124 (44.29)
Others 2 (0.71)
Marital status
Single 151 (53.93)
Married 119 (42.50)
Divorced 7 (2.50)
Others 3 (1.07)
No of children
0 192 (68.57)
1 50 (17.86)
2 22 (7.86)
>2 2 (0.71)
Table 2: Patient health questionnaire-9 screening for depression N=280
Depression scale %
Minimal 24.64
Mild 31.07
Moderate 18.93
Moderately severe 18.21
Severe 7.14

When analyzing gender differences, males had a depressive symptoms prevalence of 68.18% (105 out of 154), while females had a prevalence of 84.13% (106 out of 126). Among men, 31.82% had minimal depressive symptoms, 34.42% had mild depressive symptoms, 20.13% had moderate depressive symptoms, 10.39% had moderately severe depressive symptoms, and 3.25% had depressive symptoms. In contrast, women had 15.87% with minimal depressive symptoms, 26.98% with mild depressive symptoms, 17.46% with moderate depressive symptoms, 27.78% with moderately severe depressive symptoms, and 11.90% with severe depressive symptoms [Table 3].

Table 3: Gender difference in patient health questionnaire-9 screening (online)
Gender N=280 Minimal Mild Moderate Moderately severe Severe Total
Male 49 (31.82%) 53 (34.42%) 31 (20.13%) 16 (10.39%) 5 (3.25%) 154
Female 20 (15.87%) 34 (26.98%) 22 (17.46%) 35 (27.78%) 15 (11.90%) 126
Total 69 (24.45%) 87 (31.07%) 53 (18.21%) 51 (18.21%) 20 (7.14%) 280

From these results, it is evident that women had a higher reporting of depressive symptoms (84.13%) compared to men (68.18%), with a notably more significant proportion of females experiencing moderately severe (27.78%) and severe depressive symptoms (11.90%) compared to males (10.39% and 3.25%, respectively). The most common type of depressive symptoms among women was moderately severe, whereas mild depressive symptoms was most frequent among men.

Several factors were associated with depression levels apart from gender. The marital status, economic standing, interests outside work, family history, health issues, and substance use with reported depressive symptoms were assessed. Association with Variables shows that age and years of experience did not have a significant association [Table 4]. Coping techniques like speaking with friends and engaging in leisure activities were commonly used, but those with higher depression levels reported reduced coping strategies, such as yoga and meditation [Table 5].

Table 4: Association with variables
No. Variable p-value
1 Is there a family history of mental health conditions? 0.001
2 Do you have any other medical conditions? <0.0001
3 Are you presently using any psychiatric medication or other medications? <0.0001
4 Do you smoke or drink alcohol? 0.014
5 Have you ever seen a doctor specifically for mental health issues? <0.0001

p< 0.05 is statistically significant.

Table 5: Coping mechanism
What actions do you take when experiencing stress? Minimal Mild Moderate Moderately severe Severe Total
Talk with family or friends 33 39 19 20 6 117
Traveling/watching movie/reading 17 19 14 10 4 64
Sit by oneself 4 20 10 18 5 57
Yoga/meditation 5 1 4 0 1 11
Others 10 8 6 3 4 31
Total 69 87 53 51 20 280

DISCUSSION

With 75.36% of Bengaluru's IT employees reporting depressive symptoms, this online study reveals a worryingly high frequency of depression among this population. The slightly higher rate of depression symptoms found in the study could be, in part, a function of the sensitivity of the PHQ-9, which measures a wide range of symptoms of depression, from mild to severe, that may not fulfill the requirements to be diagnosed with severe depression. The stressful nature of the IT work environment, with long work hours, significant mental demands, and stringent project timelines, could contribute to increased levels of psychological distress for IT workers. The anonymous nature of the Internet survey may have contributed to respondents reporting their symptoms of depression openly. This number is a lot higher than the 40% found in a Delhi study of the same kind.[5] In contrast to studies in Delhi, Kerala, and Chennai, where the mean age was between 20 and 25, the majority of the participants in our study were between the ages of 26 and 35. This demographic difference may be caused by changes in sample selection practices and changing workforce patterns.[28,5,14]

Depression and gender have a significant association according to our research. With the greatest proportion of people falling into the “Mild” (26.98%) and “Moderately Severe” (27.78%) categories, female participants had a greater overall prevalence of depressive symptoms (84.13%), which is one of our study's main conclusions. This is consistent with earlier research that highlights the disproportionate toll that high-stress employment has on women's mental health.[14] Among the contributing elements are occupational stress, gender-based workplace challenges, and the dual burden of professional and domestic responsibilities. This is consistent with studies in Chennai, where depression was strongly associated with female gender and age above 35 years.[14]

Our study also reinforces existing literature on the adverse impact of occupational stress on mental health. Long hours, high expectations for performance, and precarious employment are all hallmarks of Bengaluru's IT sector's demanding work climate.[14]Workplace wellness programs have been recognized as effective strategies for improving employee well-being. Leading tech firms like Apple, Microsoft, and Google have put in place comprehensive mental health programs in the US, including stress management sessions, employee assistance programs (EAPs), and rewards for healthy habits.[29] European countries, such as Sweden and Denmark, place a high value on work-life balance by providing paid parental leave, flexible work schedules, and on-site medical care.[30] In Australia, similar programs emphasize physical fitness by offering gym memberships and dietary education.[31]

These factors can cause people to neglect their own needs and increase the risk of burnout.[32] A significant portion of Bengaluru IT workforce has also relocated from other regions, which has resulted in social isolation and a lack of family support, two things that worsen mental health issues.[32] Women, in particular, face an added burden of unpaid domestic labor alongside their professional responsibilities, increasing their susceptibility to stress and depression.[32]

Limitations

Generalizability is limited by the sample of 280 IT professionals from metropolitan Bengaluru. The use of online convenience sampling may introduce selection bias, as participation was voluntary and conducted through digital platforms. Self-reported data may introduce reporting bias. The PHQ-9 is a screening, not diagnostic, tool, and assesses recent symptoms only. As an online study, it did not evaluate all factors required for a clinical diagnosis. The findings of this study are based on IT professionals working in metropolitan Bengaluru and may therefore not be generalizable to the broader IT workforce in India or other regions. Important occupational factors such as working hours, night shifts, commuting distance, workload pressure, and job strain were not assessed in this study and should be explored in future research.

Implications

This study emphasizes the need for targeted mental health interventions in Bengaluru's IT sector. IT companies should include mental health services like counseling, stress management classes, and flexible work schedules in addition to gender-sensitive support like childcare assistance and inclusive workplace policies.[14] Policymakers may prioritize workplace mental health by guaranteeing sufficient funding, requiring wellness initiatives, and encouraging cooperation between the government, businesses, and mental health organizations.[32]Formal Employee Assistance Programs (EAPs), access to counseling, and mental health education campaigns are needed to promote early help-seeking. Further, job redesign, well-defined boundaries of work, and promoting a positive, open organizational culture may mitigate burnout risk. Marital status and financial strain as socio-demographics also imply the worth of specific benefits and supportive services. Facilitating social connection by team-building and peer support networks, in addition to regular mental health assessments such as PHQ-9, may help in early identification and prevention. Collectively, these initiatives can build healthier workplaces, enhance employee health, and increase overall productivity in the IT industry.

CONCLUSION

The study results show Bengaluru's IT sector needs targeted mental health interventions. Even while workplace wellness initiatives have become more popular worldwide, much more has to be done in India, especially to guarantee their efficacy and accessibility. IT workers' general well-being can be greatly enhanced by addressing workplace stress, improving mental health support networks, and encouraging work-life balance through legislative changes. Intervention tactics and long-term tracking of mental health changes in this field should be the main topics for upcoming studies. Long-term tracking of mental health changes in this field and intervention techniques should be the main topics of future research. Despite the availability of mental health professionals in Bengaluru, barriers such as stigma, lack of awareness, and logistical challenges (e.g., long working hours) hinder access to mental health care. The IT industry should take the lead in promoting flexible work arrangements.

Acknowledgment:

We sincerely thank all the participants whose valuable contributions made this study possible. We thank the University of Hyderabad-Institute of Eminence for the logistical support provided.

Author contributions:

ASM: Conceptualization, study design, data collection, data analysis, interpretation of results, and manuscript drafting; ACT: Conceptualization, study design, supervision, data analysis, critical revision of the manuscript, and final approval.

Ethical approval:

The research/study was approved by the Institutional Review Board at the University of Hyderabad’s Institutional Ethics Committee, number (UH/IEC/2023/570), dated 31-08-2023.

Declaration of patient consent:

The authors certify that they have obtained all appropriate patient consent forms. In the form, the patient has given consent for clinical information to be reported in the journal. The patient understand that the patient’s names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript, and no images were manipulated using AI.

Financial support and sponsorship: Nil

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