An Epidemiological Study of Sleep-Related Disorders and Their Association With Cardiovascular Risk Factors in an Adult Population (30-69 Years) of South Delhi
Sleep-related disorders showed high screening positivity in an urban adult population of South Delhi, with sleep-related breathing disorder prevalence of 37.0% and primary insomnia 36.0%, and significant associations identified between specific sleep disorders and cardiovascular risk factors including diabetes, hypertension, and abnormal waist-hip ratio.
Key Findings
Results
Sleep-related breathing disorder (SRBD) and primary insomnia were highly prevalent in the study population as assessed by the Global Sleep Assessment Questionnaire (GSAQ).
SRBD prevalence was 37.0% by GSAQ
Primary insomnia prevalence was 36.0% by GSAQ
Study population comprised 700 apparently healthy adults aged 30-69 years recruited from five wards of South Delhi
Four-stage random sampling was used from the Central Zone of the South Delhi Municipal Corporation (SDMC)
Results
Daytime sleepiness, obstructive sleep apnea risk, and poor sleep quality were each identified in a substantial proportion of the study population.
Daytime sleepiness (ESS ≥8) was present in 13.3% of participants
Obstructive sleep apnea risk (STOP-Bang ≥3) was found in 20.9% of participants
Poor sleep quality (PSQI >5) was found in 23.9% of participants
Four validated screening questionnaires were used: GSAQ, PSQI, ESS, and STOP-Bang
Results
Obstructive sleep apnea screen positivity was significantly more prevalent in males than females.
OSA (STOP-Bang ≥3) was present in 41.5% of males compared to 13.9% of females
The sex difference was statistically significant (p < 0.001)
STOP-Bang screen positivity was concentrated among men and older participants
The authors noted that because male sex, BMI, and blood pressure are themselves STOP-Bang scoring components, these represent structural associations with the instrument rather than independent predictors of OSA
Results
GSAQ-defined SRBD was more frequent in women and was not explained by anthropometric factors, suggesting it captures different phenomena than STOP-Bang screen positivity.
STOP-Bang screen positivity was concentrated among men and older participants
GSAQ-defined SRBD was more frequent in women
GSAQ-defined SRBD was not explained by anthropometric factors
The authors concluded that 'the two constructs capture different phenomena'
Results
Newly detected hypertension and diabetes were found at substantial rates in this apparently healthy adult community population.
Newly detected hypertension prevalence was 19.3%
Newly detected diabetes prevalence was 12.3%
Hypertension was defined as blood pressure ≥140/90 mmHg
Diabetes was defined as fasting blood glucose ≥126 mg/dL
Participants were described as 'apparently healthy adults' at recruitment
Results
Restless legs syndrome was independently associated with female sex and physical inactivity in multivariable logistic regression.
Female sex was an independent predictor of restless legs syndrome with an adjusted odds ratio (AOR) of 4.05
Physical inactivity was an independent predictor of restless legs syndrome with an AOR of 2.61
Associations were identified using binary logistic regression across seven sleep outcomes
Analysis was conducted using SPSS Statistics version 26
Results
Daytime sleepiness was independently associated with diabetes and abnormal waist-hip ratio.
Diabetes was an independent predictor of daytime sleepiness with an AOR of 1.84
Abnormal waist-hip ratio was an independent predictor of daytime sleepiness with an AOR of 1.62
These associations were identified in multivariable binary logistic regression
Daytime sleepiness was defined as ESS ≥8
Results
Insomnia was independently associated with mental disorder, and poor sleep latency was independently associated with female sex.
Mental disorder was an independent predictor of insomnia with an AOR of 2.28
Poor sleep latency was independently associated with female sex with an AOR of 1.77
These associations were identified across seven sleep outcomes in multivariable binary logistic regression
The study used chi-square test and binary logistic regression to identify associations and independent predictors
Methods
The study was a community-based cross-sectional design using four-stage random sampling from an urban South Delhi population.
700 apparently healthy adults aged 30-69 years were recruited
Four-stage random sampling was used from five wards of the Central Zone of SDMC
Four validated screening questionnaires were employed: GSAQ, PSQI, ESS, and STOP-Bang
As a cross-sectional screening survey, no inference was drawn regarding the effect of any intervention on outcomes
Conclusions
The authors concluded that questionnaire-based sleep screening is inexpensive and scalable and could be integrated into existing non-communicable disease screening encounters.
Screening positivity for SRDs was described as high in this community
SRDs were described as 'a major yet underdiagnosed public health burden in India'
Community-level evidence linking SRDs with cardiometabolic risk factors was described as scarce
The authors recommended integration into 'existing non-communicable disease screening encounters'
What This Means
This research suggests that sleep-related disorders are very common among adults in urban South Delhi, with over one-third of the 700 study participants screening positive for sleep-related breathing problems or insomnia. Using four different validated sleep questionnaires, the researchers found that poor sleep quality affected nearly one in four participants, about one in five showed signs of obstructive sleep apnea risk, and one in seven reported excessive daytime sleepiness. Importantly, newly detected high blood pressure was found in about one in five participants and diabetes in about one in eight, even though participants were considered apparently healthy at the start of the study.
The research also found meaningful links between specific sleep problems and health risk factors. Daytime sleepiness was associated with having diabetes and an abnormal waist-to-hip ratio. Restless legs syndrome was more common in women and in people who were physically inactive. Insomnia was linked to mental health conditions. Interestingly, the two tools used to screen for breathing-related sleep problems captured somewhat different groups: the STOP-Bang questionnaire identified more men and older individuals as high-risk, while the GSAQ identified more women with sleep-related breathing disorders — suggesting these tools may be measuring related but distinct problems.
This research suggests that simple, low-cost sleep questionnaires could be added to existing health check-ups for non-communicable diseases like diabetes and hypertension in India, where sleep disorders are largely underdiagnosed. Because this was a one-time survey rather than a long-term study, it cannot determine whether sleep disorders cause cardiovascular problems or vice versa, but the findings highlight that sleep health may be an overlooked dimension of preventive care in urban Indian communities.
V. K. Singh, F. Islam, R. Pathak, Aqsa Shaikh, Srikrishna Sulgodu Ramachandra. (2026). An Epidemiological Study of Sleep-Related Disorders and Their Association With Cardiovascular Risk Factors in an Adult Population (30-69 Years) of South Delhi. Cureus. https://doi.org/10.7759/cureus.113932