**Background:** Obesity prevalence has increased threefold globally between 1975 and 2016, with an estimated 650 million individuals affected. In India, approximately 20% of adults aged 15–49 years have a BMI of 25 or higher. The Kolkata metropolitan area has one of the highest obesity rates in India, with around 43% of males and 41% of females aged 15–49 having a BMI of 25 or higher. Environmental factors such as food marketing, availability of healthy foods, and neighborhood walkability play a complex role in obesity risk. This study aimed to understand perceptions, environmental determinants, and health complications of excess weight among adults in Kolkata using a concurrent mixed methods approach.
**Methods:** The study employed a concurrent mixed methods design with data collected between November 2019 and October 2020. Purposive and snowball sampling were used to recruit 120 participants (60 females, 60 males) aged 25–54 years with a BMI of 25 or higher and waist circumference of 80 cm or higher (females) or 90 cm or higher (males). The principal investigator measured height, weight, and waist circumference for each participant. A quantitative survey with 28 items using a five-point Likert scale (Cronbach's alpha = 0.76), 4 items on level of importance (Cronbach's alpha = 0.73), and 5 dichotomous items (Cronbach's alpha = 0.37) was administered. Additionally, 18 in-depth semi-structured interviews (9 females, 9 males) were conducted, each lasting 20–25 minutes on average. Quantitative data were analyzed using descriptive statistics in Stata 14.0, and qualitative data were analyzed using inductive coding following Creswell's six-step approach. The Social-Ecological Model and Health Belief Model informed the development of field instruments.
**Key Results:** The average age of participants was 39 years. The mean BMI was 31.28, and the mean waist circumference was 106.44 cm. Among survey participants, 50.83% had a BMI of 30 or higher, and 57.5% had a waist circumference greater than 102 cm. Regarding environmental determinants, 53.33% of participants strongly agreed and 39.17% agreed that easy access to fast food increased obesity risk. Lack of accessibility to fresh produce was noted by 33.33% who agreed and 16.24% who strongly agreed. High-calorie food advertising was identified as a risk factor by 36.67% (agree) and 19.17% (strongly agree). However, 37.61% disagreed and 17.09% strongly disagreed that health awareness programs existed in their community. Most participants agreed (56.67% agree, 16.67% strongly agree) that parks, open spaces, and wellness facilities helped prevent obesity. Regarding health complications, 68.33% (n=82) of survey participants reported at least one health complication, and 17.5% (n=21) had three or more complications. Hypertension was the most common complication (37.5%, n=45), followed by thyroid issues (20.83%, n=25), cholesterol (20%, n=24), high blood sugar (16.67%, n=20), sleep apnea (21.67%, n=26), and asthma (10.83%, n=13). Among female participants, 13.33% (n=8) had PCOS. Participants reported difficulty with squatting and snoring as functional concerns. Qualitative findings expanded on these results, with interviewees expressing concerns about food adulteration, packaged foods, profit-driven food and medical industries, and the lack of nutrition education. Participants suggested interventions at institutional, community, and social/public policy levels, including raising awareness, promoting healthy food access, regulating fast foods and sugary beverages, and improving wellness programs.
**Clinical Implications:** The study demonstrates that adults with excess weight in Kolkata are generally aware of obesity-related health complications, particularly diabetes, hypertension, cholesterol, and heart disease, but less aware of links to cancer and sleep apnea. Hypertension was the most prevalent complication, affecting over a third of participants. The findings underscore the need for health education programs, improved food safety regulations, and policies addressing the obesogenic environment. The authors note that India does not classify obesity as a disease and that government support for obesity treatment is limited. They recommend rigorous food safety inspections, regulation of pesticide usage, improved healthcare services, and policies governing the sale and marketing of junk foods. The study highlights that environmental factors—particularly the food environment—play a critical role in obesity and that interventions must address social, environmental, and commercial determinants of obesity rather than focusing solely on individual responsibility.