Delhi National Capital Region Research Articles

Career intentions, choices, and motivation of undergraduate dental students toward dentistry

Students studying healthcare related professional courses like dentistry are future role models and leaders of our society. It is imperative that only interested and motivated candidates join dental profession because of amount of time and resources involved. The aims of this survey were to study the intentions, motivation, and selection of dentistry as a profession by the dental students. Data was collected through a self-administered questionnaire survey was conducted among 500 undergraduate dental students and interns of two government (n = 250) and one private dental college (n = 250) located in National Capital Region (NCR) of Delhi, India. Majority of respondents were females and were residing in urban area. Students of government dental college were significantly more inclined to continue with their profession. Oral and maxillofacial surgery was the most sought after branch of dentistry to pursue post-graduation by the study participants. This study highlighted some important factors for selecting and continuing dentistry as a profession. Majority of students indicated that dentistry was not their first choice of career. There is a need to educate students about their preferred career choices and its future aspects before joining the course.

Exploring whistle-blowing intentions of employees working in the Indian banking sector

The present study has explored the impact of organisational commitment and perceived organisational support on the internal and external whistle-blowing intentions of employees in the Indian Banking sector in this article. The purposive sampling technique has been employed to select a sample of 660 employees working in various banks in the National Capital Region (NCR) of Delhi. The primary data collected has been analysed through exploratory factor analysis (EFA) and multiple regression analysis. The results indicate that organisational support has a significant positive impact on both internal and external whistle-blowing intentions. With regards to organisational commitment, affective commitment and normative commitment have a significant positive impact on internal and external intentions of whistle-blowing. However, the relationship between continuance commitment and internal whistle-blowing intention is insignificant, whereas the impact of CC on external whistle-blowing intention has been significantly positive.

Revealing genomic history and forensic features of Gurjars from western Uttar Pradesh and National Capital Region Delhi using 23 autosomal STRs.

Here we report the genomic history of Gurjars and framed the useful set of autosomal STRs for Gujjar population. We designed this study with a total number of 215 Gurjars from district Saharanpur (previously known as Gujarat due to presence of many Gujjar zamindars), Moradabad, Bulandshahr, Ghaziabad, Meerut, Noida and NCR Delhi. Locus SE33 was found the most polymorphic and discriminating marker for Gujjar population while locus TPOX is the least. Ancestral information of Gurjars was revealed by comparing the Gujjar's population data with 19 neighbouring populations. In Neighbor Joining (NJ) tree Gurjars were found closer to Gujjars of Jammu region, population of Rajasthan and Uttarkhand, due to the same stock of gene pool.

IIoT implementation challenges: analysis and mitigation by blockchain

PurposeThe purpose of this methodology is to categorise the challenges into cause and effect group. The modern scenario of customization, personalization and multi-restrictive working because of pandemics has affected the operations of manufacturing small and medium enterprises (SMEs). In the new normal, the digitalization of manufacturing SMEs can be the path breaker. Modern digitalization includes a mix of technologies such as the industrial internet of things (IIoT), the internet of things, cyber-physical system and big data analytics. This digitalization can help in achieving new design changes, efficient production scheduling, smart manufacturing and unrestricted on-time delivery of quality products. This research paper aims to recognize and analyze the challenges faced while implementing IIoT technologies in manufacturing SMEs and tries to find the possibility of mitigating challenges by blockchain technology.Design/methodology/approachThere were ten challenges of IIoT implementation identified from the literature review and experts’ opinions. To collect information from Indian manufacturing SMEs, a survey tool was formed in the form of a questionnaire. On the fundament of responses received from industrial experts, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique has been used for categorizing these challenges into cause and effect groups. Further, the authors tried to mitigate observed challenges with the help of blockchain technology.FindingsWith the implementation of IIoT technologies, the manufacturing processes become conciliatory, effective and traceable in real time. Observation of the current study states that the top effect group challenges such as the security of data and reliability of technologies can be mitigated by enabling blockchain technologies. The authors conclude that blockchain-enabled IIoT technologies will be highly beneficial for the Indian SMEs strategically and practically in the current scenario.Research limitations/implicationsMethodology of DEMATEL focuses on responses received from experts. The broader approach of survey from manufacturing organizations is compromised due to small sample size in this methodology. Experts approached for survey were from manufacturing SMEs of Delhi National Capital Region only. Broader survey-based techniques may be applied covering different sectors of SMEs in future work.Practical implicationsTechnologies such as blockchain can facilitate advanced security in the application of IIoT and other such practices. While dealing with significant issues and challenges of new technologies, blockchain gives an edge of balance in the current scenario. Its properties of fixity, temper evident and circumvent fraud make this technology ideal for the digitalization of the manufacturing systems in SMEs.Originality/valueDigitalization of manufacturing facilities is the need of the hour. Pandemic challenges have highlighted the urgency of it. This research will motivate and guide the manufacturing SMEs in planning strategies and long-term policies in implementing modern technologies and coping up with the pandemic challenges.

Air Pollution in New Delhi during Late Winter: An Overview of a Group of Campaign Studies Focusing on Composition and Sources

In recent times, a significant number of studies on the composition and sources of fine particulate matters and volatile organic compounds have been carried out over Delhi, either initiated by or in association with the researchers from the Indian Institute of Technology Kanpur (IIT Kanpur), in collaboration with researchers from within and outside India. All these studies utilized highly time-resolved, campaign-mode observations made with state-of-the-art instrumentation during the late winter months (mid-January to March) of 2018. Individually, each of these studies were rigorous in nature, containing explicit detailing about different types of ambient air pollutants in Delhi such as organic aerosols, inorganic elements, metals, carbonaceous aerosols, and volatile organic compounds. This study consolidates the extremely useful knowledge on source attribution of these air pollutants in the Delhi National Capital Region currently contained in these fragmented studies, which is vital to further enhancing our understanding of composition, characteristics, and sources of air pollutants over Delhi, as well as to designing appropriate mitigation measures tailored to local specifics.

Physician’s perception of E-consultation adoption amid of COVID-19 pandemic

PurposeThe purpose of this paper is to investigate physicians’ perceptions of e-consultation adoption, which has the potential to bridge existing gaps in the current health-care system, using the unified theory of acceptance and use of technology (UTAUT2) framework.Design/methodology/approachThe judgemental sampling method was embraced to collect primary data from 337 physicians from Delhi-National Capital Region who had experience with e-consultation. A number of hypotheses was developed and tested using structural equation model based on UTAUT2.FindingsThe study’s findings revealed an affirmative and significant relation between a physician’s intention to embrace e-consultation and facilitating conditions, effort expectancy, social influence and performance expectancy; however, habit and experience are not significantly linked to it.Originality/valueThis study will not only add to the existing body of knowledge about e-consultation adoption, but it will also assist electronic health service providers in devising strategies to encourage the usage of e-consultation services in emerging economies such as India where people are deprived of the right to access better health care due to lack of physical infrastructure.

Impact of Beauty Vlogger's Credibility and Popularity on eWOM Sharing Intention: The Mediating Role of Parasocial Interaction

Drawing on the foundation of three critical theories of consumer psychology-parasocial theory, source credibility theory and signaling theory, the study tries to examine the impact of beauty vlogger’s credibility and popularity on the eWOM intention of the viewers among the millennial female sample from Delhi-National Capital Region. The study incorporates parasocial interaction (with the vlogger) as a mediator between the relationship of vlogger popularity and eWOM intention of followers. An online survey was administered and data was collected from 490 female millennial beauty vlog followers in Delhi-National Capital Region, India. The study attempts to explore eWOM behavior of women in the Indian context. Findings reveal that there is significant relationship between credibility of a beauty vlogger and eWOM Intention. Additionally, a significant association was established between vlogger popularity and eWOM intention, with parasocial interaction as a partial mediator.

UNDERSTANDING EMPLOYEE PERCEPTION OF FAIRNESS AT WORKPLACE: AN ANALYTICAL STUDY

This is a pioneering study in India. The study investigated the employee perception of fairness as a total concept at the workplaces of a multiple public and private organizations of Delhi national capital region, selected by convenience sampling method. The employee perception of fairness or the organizational justice scenario was studied and compared in public and private sector organizations. The study used two methods to determine the sample size: Krejcie and Morgan’s sample size selection table and Cochran’s formula for sample size calculation. Some 400 mid-managerial level employees from both public and private sectors participated in the study. In addition to 8 questions on demographic factors, the structured survey questionnaire of 20 questions a renowned scholar of justice studies was administered to collect the data from the respondents. To ensure reliability of the data for analysis, Cronbach alpha value was calculated of the individual items on the questionnaire and the scores were above the tolerance level. The data analysis was done on SPSS 25.0 version. The analysis found positive employee perception of fairness in both the sectors. The result found was inconsistent with our hypothesis of negative perception keeping the grim scenario of the workplaces in view. The inconsistent result led to some new insights emerging from the study. The researcher observed job insecurity, pessimism, and high discreet behaviour of the respondents particularly in the private sector. In public sector, the respondents were noticed to be indifferent and there was no consensus in their views.

Impact of urbanization processes on availability of ecosystem services in National Capital Region of Delhi (1992-2010).

The Southern and Eastern National Capital Region of Delhi is experiencing diversified and expanding urbanization as in million-plus cities of the area the urban sprawl activities are more frequent than the urban densification activities. The progressing sprawl of residential and construction sites is transforming the regional ecosystems and hampering the generation of ecosystem services of fundamental importance, i.e. the benefits and services that we get directly or indirectly from the ecosystem functioning. The Costanza et al., (2014) approach shows that the ecosystem services value has decreased at US$ 56 ha−1 year−1 (0.09% per year) and absolute and cumulative losses are estimated US$ 285.4 ha−1 year−1 and US$ 502.8 ha−1 year−1, respectively. The ecosystem service values assessment shows that the ecosystem services like climate regulation and recreation have increased but food production, genetic resources, water supply, soil formation, raw materials and waste treatment have decreased over the time. The use of alternative ecosystem value coefficient shows that the estimated value of the ecosystem service value changed from a low of 0.005% for 1% change in the value of the forest coefficient, to a high of 0.749% for a 1% change in the value of the agricultural land coefficient. For each land use/land cover category, the sensitivity analysis reflects the inelasticity or robustness of the estimated ecosystem value with respect to the value coefficient. Overall, prioritizing the conservation and enrichment of natural and man-made ecosystems of critical value will lead to sustainable development of urban ecosystems.

Highlighting Differences in Cancer Epidemiology in India: A Descriptive Report from a Private Sector Hospital-Based Cancer Registry in Delhi for the Years 2013 to 2017

Abstract Introduction Cancer continues to grow in number. Knowing the epidemiology helps in prevention and treatment. Existing hospital-based cancer registries (HBCRs) provide little data of private sector including patients for medical tourism. Objectives The aim of this study was to describe the distribution of cancer at a tertiary center in the private sector in North India for all cancer patients. Materials and Methods Cases were ascertained from the Oncology Outpatient Department of Max Super Specialty Hospital, Saket, between January 1, 2013, and December 31, 2017, and from pathology database since July 2015. They were abstracted into National Cancer Registry Program (NCRP) core pro forma. We conducted a descriptive analysis of distribution by age, gender, nationality, site, stage, and treatment. Results Among the 15,850 confirmed cases, 8,034 (51%) were males. Nearly 1.8% of patients were pediatric (<15 years) and 30.1% geriatric (>65 years). A high proportion of patients (13%) came from outside India and 27% from outside Delhi-National Capital Region. The most common cancers in males were prostate (10.9%), lung (10%), and mouth (7.6%). Stomach was the most common site of cancer in international male patients. Four of the top ten cancers in males were of the gastrointestinal tract (esophagus, stomach, colon, and rectum). The most common cancers in females were breast (37.4%), ovary (7.1%), and corpus uteri (5.6%). Tobacco-related cancers accounted for 36.9% of cancers in males and 11.3% in females. The composite stage in males was IV in 54%, followed by stage III (21%), stage II (15%), and stage I (10%). In females, stage IV was 33%, stage III was 23%, stage II was 28%, and stage I was 16%. As registry included outpatient record visits and pathology records, not all registered patients received treatment at Max Super Specialty Hospital. Overall, 49.8% of male patients and 49.7% of female patients received treatment at Max Super Specialty Hospital. Data quality metrics matched other national HBCRs. Conclusion We highlight the differences from other NCRP HBCRs, with prostate cancer being the top cancer in males and gastrointestinal cancers forming major proportion among all. Socioeconomic status of our patients, referral bias, and international medical tourism could be responsible.

The power to voice my hate! Exploring the effect of brand hate and perceived social media power on negative eWOM

PurposeConsumer brand relationship literature has recently seen a surge of studies on brand hate, its antecedents and outcomes. Hate alone will not drive consumers to engage in negative electronic word-of-mouth (eWOM) and indicates the interplay of other social relationship factors that can strengthen the effect of brand hate on negative eWOM. The purpose of this study is to integrate the emerging concept of brand hate and perceived social media power with the theory of planned behavior (TPB) to expand the understanding of negative eWOM.Design/methodology/approachData is collected through a survey conducted among university students based in the National Capital Region of Delhi in India. The research model is empirically tested using structural equation modeling in AMOSv23.FindingsThe three TPB dimensions, including brand attitude, subjective norms and individual’s propensity to anthropomorphize, are found to influence brand to hate significantly. The other perceived control factors included in the model, perceived homophily and social media self-efficacy, were found to affect perceived social media power, which, in turn, is crucial in predicting consumers’ engagement in negative eWOM behavior, both directly and through interaction with brand hate.Originality/valueThe study contributes to brand hate literature and offers a novel perspective by advocating the role of consumers’ propensity to anthropomorphize in augmenting feelings of brand hate.

Education and screening for obesity, hypertension, and diabetes (including gestational diabetes) “at the doorstep” of women from nine underprivileged urban areas in Delhi National Capital Region

Background and aimsWomen in underprivileged urban areas have poor access to health and education, making them vulnerable to non-communicable diseases (NCDs), specifically diabetes. The current project has sought to focus on this group, to educate and screen this population to prevent and manage obesity and diabetes. MethodsThe project was conducted in 9 underprivileged areas of Delhi NCR using a mobile van unit. Women from these areas were invited for health education (this included talks, lectures and distribution of Information, Education & Communication material), screening {anthropometric, blood glucose and blood pressure (BP) measurements} diet counselling sessions and referral of subjects with uncontrolled blood glucose. ResultsBaseline survey on knowledge of diabetes and nutrition showed low awareness. Health education sessions (n, 46) included face-to-face discussion and problem solving and distribution of simple pictorial leaflets (n, 3000). The health education sessions were well accepted. In total, 4% women (n,3175/91000- total population, 3056 non-pregnant, 119 pregnant) participated in the research trial. Among non-pregnant women, an average weight gain of 11.8 kg between the ages of 20–40 years was observed. The average BMI and waist circumference (WC) was 26.8 ± 5.3 kg/m2 and 91.1 ± 13.2 cm, respectively in non-pregnant women. Further, 75.3.0% (2207/2928) and 96.7% (2875/2971) of the non-pregnant women had overweight/obesity and abdominal obesity, respectively. In the non-pregnant women, 21.7% had known diabetes. Further, 7.4% non-pregnant women and 2.5% pregnant women were identified as having hyperglycaemic state. Hypertension was observed in 11.9% pregnant women and 49.9% of non-pregnant women. ConclusionExtremely high prevalence of obesity, along with diabetes and hypertension in underprivileged urban women requires intensive individualised and group health education, screening, and counselling “at the doorsteps”, as has been shown in our model.

Epidemiology of geriatric syndromes among older people residing in six old-age homes of Delhi-NCR.

The frequency of geriatric syndromes (GSs) such as cognitive impairment (CI), depression, and malnutrition among older people residing in old-age homes (OAHs) of Delhi-National Capital Territory Region (NCR) has not been reported. The availability of such data determines the quality of health care. The present study aims to assess the frequency of GS among residents of six OAHs in Delhi-NCR. The study was carried out after obtaining informed written consent from all participants. The team comprising doctors, physiotherapists, and nurses visited the OAHs and assessed GSs using a psychometrically validated screening tool ICT-BRIEF 30. Other standard tools such as Snellen's chart, whisper voice test, mini nutritional assessment, time up and go test score, Mini-Cog, and geriatric depression scale 5 were used to assess vision, hearing, nutrition, mobility, cognition, and mood, respectively. Out of 131 participants, low vision was observed in 69.47%, hearing impairment in 20.61%, malnutrition in 12.9%, risk of fall in 18.32%, CI in 46.56%, and depression in 62.59% of the participants. Hearing impairment was found to be significantly associated with quality of life and cognition. The present study from Delhi showed high frequency of vision impairment, CI, frailty, depression, and malnutrition in older people residing in OAHs. 20% of the participants had functional loss due to various reasons. Hence, the owner/caretaker of OAHs of Delhi/NCR needs to be proactive in screening the residents for various GSs to provide quality care to the residents.

Longitudinal Serology of SARS-CoV-2-Infected Individuals in India: A Prospective Cohort Study.

.Clinical and epidemiological characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are now widely available, but there are few data regarding longitudinal serology in large cohorts, particularly those from low-income and middle-income countries. We established an ongoing prospective cohort of 3,840 SARS-CoV-2-positive individuals according to RT-PCR in the Delhi-National Capital Region of India to document clinical and immunological characteristics during illness and convalescence. The immunoglobulin G (IgG) responses to the receptor binding domain (RBD) and nucleocapsid were assessed at 0 to 7 days, 10 to 28 days, and 6 to 10 weeks after infection. The clinical predictors of seroconversion were identified by multivariable regression analysis. The seroconversion rates during the postinfection windows of 0 to 7 days, 10 to 28 days, and 6 to 10 weeks were 46%, 84.7%, and 85.3%, respectively (N = 743). The proportion with a serological response increased with the severity of coronavirus disease 2019 (COVID-19). All participants with severe disease, 89.6% with mild to moderate infection, and 77.3% of asymptomatic participants had IgG antibodies to the RBD antigen. The threshold values for the nasopharyngeal viral RNA RT-PCR of a subset of asymptomatic and symptomatic seroconverters were comparable (P = 0.48) to those of nonseroconverters (P = 0.16) (N = 169). This is the first report of longitudinal humoral immune responses to SARS-CoV-2 over a period of 10 weeks in South Asia. The low seropositivity of asymptomatic participants and differences between assays highlight the importance of contextualizing the understanding of population serosurveys.

Analyzing the dynamics of urbanization in Delhi National Capital Region in India using satellite image time-series analysis

Understanding urban land-use changes and accurately quantifying urban land transitions is essential to global land-change research. The present study aimed to capture non-linear land transitions within urban areas using an automated change detection technique in a satellite image time series. Traditional land-use and cover maps used to map and monitor urban areas assume land change is a linear process and that urbanization is the last stage of land transition. In reality, however, most land transitions are non-linear. The present study focused on Delhi National Capital Territory, in India, and its adjacent major cities. A popular time-series analysis method was applied on MODIS NDVI time-series (2000–2017) data to detect change within the impervious surface area of the region. Overall validation and analysis of the results showed that the method was able to capture the direction and timing of the changes very well within all levels of urban density (except very high-density areas with more than 98% built-up density). The majority of urban areas in the region experienced interrupted, abrupt, and gradual greening. The results show different examples of non-linear land transitions detected from satellite images. Until recently, these land transitions could only be observed via long-term field surveys and/or local knowledge. The results reveal that the land-change trajectories can be different based on the level of built-up density, size of the urban area, physical proximity, and accessibility to relatively bigger urban areas. Knowledge gained from this study can be useful in better understanding the micro-climatic patterns and environmental quality within a city.

The characteristics and size of lung-depositing particles vary significantly between high and low pollution traffic environments

Currently, only the mass of sub 2.5 μm and sub 10 μm particles (PM2.5, PM10) in ambient air is regulated and monitored closely, but the same increase in PM2.5 can cause different degrees of health effects in different cities (sometimes more harmful effects per unit mass in less polluted cities) (Li et al., 2019). In addition to mass concentration, other measurement metrics are needed to connect particle pollution data and health effects. In our measurements made in traffic-influenced environments in Helsinki, Finland (a relatively clean city), and Delhi-National Capital Region (Delhi-NCR), India (a polluted area), we noted a large difference in the median particle size for lung-deposited surface area (LDSA). In Helsinki, the median size was 80 nm, corresponding to soot particles emitted from diesel engines. However, the median size increased to 190 nm during a long-range transport event of air mass. In Delhi-NCR, surprisingly, the median size was even larger, 410 nm. These larger particles were likely to originate from regional sources rather than local traffic. The LDSA to PM2.5 ratio for particles in Helsinki was 2–4 times the amount in Delhi-NCR, potentially linked with the higher toxicity of a unit of particulate mass in Helsinki.

Elemental Characteristics and Source-Apportionment of PM2.5 During the Post-monsoon Season in Delhi, India

In this study, we have coupled measurements, modeling, and remote sensing techniques to better delineate the source characteristics and variability of air pollutants in Delhi primarily during the post-monsoon season in 2019. We show a comparison of ambient PM2.5 (particulate matter having aerodynamic diameter ≤2.5 μm) levels and associated elements during the post-monsoon with those during a relatively clean season of monsoon (experiencing frequent wet precipitation). Air-mass back trajectories from Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model have been used to infer the possible source pathways of PM2.5 impacting at the receptor site in Delhi. The average concentrations of PM2.5 during monsoon (June–July) and post-monsoon (October–November) were 42.2 ± 15.5 μg m−3 (range: 22–73 μg m−3) and 121.4 ± 53.6 μg m−3 (range: 46–298 μg m−3), respectively. The PM2.5 samples were analyzed for heavy and trace elements (Si, S, Na, Mg, Al, Cl, Ca, K, Ti, V, Cr, Mn, Fe, Ni, Cu, Br, Rb, Zr, and Pb) using an Energy Dispersive X-ray Fluorescence (ED-XRF) technique and their concentrations have been used to carry out the source-apportionment utilizing principal component analysis (PCA) tool. The PCA analysis has identified three major sources of fine aerosols including contributions from the sources viz. vehicular emission, biomass burning, coal combustion, secondary aerosols formation, soil dust, solid-waste burning and industrial emission. The source involving biomass burning contributed largely to the PM2.5 in post-monsoon season through long-range transport of large-scale agriculture-residue burning emissions (occurring in the states of Punjab, Haryana, and western part of Uttar Pradesh). The industrial emissions include primarily, medium- and small-scale metal processing industries (e.g. steel sheet rolling) in Delhi-National Capital Region. Traces of emission from coal based thermal power plants and waste incineration have also been observed in this study.

Sustainable perspectives on transportation: Public perception towards odd-even restrictive driving policy in Delhi, India

The odd-even restrictive driving policy to reduce smog pollution in Delhi, India was implemented for the third time from November 4–15, 2019. This policy aimed to not only reduce personal vehicles on the road, but also motivate commuters toward sustainable transportation. In this paper, we examine public perception toward odd-even restrictive driving and its acceptance based on value-belief-norm (VBN) theory. Further, this study investigates the role of trust in local government in relation to the acceptance of the restrictive driving transport policy. Survey data from 317 responses from the Delhi National Capital Region (NCR) was analyzed with partial least squares structural equation modeling, and results indicate that personal norms, policy effectiveness, and policy complexity significantly influence policy acceptance. The findings suggest that trust in local government reduces the inverse relationship between policy complexity and acceptance. The results emerged as possible insights for policymakers in the effective design of restrictive driving policies and sustainable transportation.

A Cross-Sectional Study on Gender Differences and Influence of Social Media Engagement on Breast Cancer Knowledge among Delhi-NCR Population in India

Breast cancer is leading cause of death worldwide including India. Low awareness is one factor causing late diagnosis and eventually death in developing countries like India. Social media is being used for breast cancer awareness. This study aimed to investigate relationship between social media engagement and breast cancer knowledge and to examine gender differences. Cross sectional study was conducted in Delhi-National Capital Region (NCR). Pearson’s coefficient correlation test was conducted to examine social media engagement and breast cancer knowledge relationship. Independent t test was applied to find gender differences for social media engagement and breast cancer knowledge. Significant moderate correlation was found between social media engagement and breast cancer knowledge (p<.01). A gender difference was found for social media engagement and breast cancer knowledge (p<.05). Result justified that social media engagement is resulting in breast cancer awareness. Results also confirmed difference between male and female regarding social media engagement and breast cancer knowledge.

Postmenopausal Symptoms and Management by Women in Delhi–NCR

Menopause is defined as the complete cessation of the menstrual cycle in women for twelve consecutive months. Although menopause is an important aspect of the female reproductive health cycle, it is often ignored. Women may experience different menopausal and postmenopausal symptoms ranging from mild to severe. In the present study, a cross-sectional survey of 200 women in their postmenopausal years was conducted across Delhi and the National Capital Region (NCR). A pretested questionnaire was given to a random population of postmenopausal women to record various postmenopausal symptoms and the coping strategies adopted by them. The mean age of menopause of the sample population was 47.48 years, and body mass index seemed to affect the age of onset of menopause. The majority of women experienced postmenopausal symptoms, with 95.28% experiencing more than one symptom, ranging from fatigue and sleep disturbances to severe symptoms such as anxiety attacks, palpitations and joint pains. Many women used different coping strategies, such as changes in lifestyle and social interaction with other women experiencing menopause. Very few women used hormone replacement therapy as a coping mechanism and most of them were ignorant about the same. Interestingly, both education and working status were observed to affect the adoption of coping strategies by women in Delhi–NCR. The results of the study emphasize the need of addressing the problems of the postmenopausal population and incorporating the same in the national healthcare programme.