Author(s): Chaitali Bose, Alak Kumar Syamal, Koushik Bhattacharya


DOI: 10.52711/0974-360X.2022.00657   

Address: Chaitali Bose1, Alak Kumar Syamal1, Koushik Bhattacharya2
1Post Graduate Department of Physiology, Hooghly Mohsin College, University of Burdwan, West Bengal, 732101.
2Allied and Health Science Department, Swami Vivekananda University, Barrackpore, West Bengal, India.
*Corresponding Author

Published In:   Volume - 15,      Issue - 9,     Year - 2022

Background: Unhealthy diet like intake of little or no dietary fibre but excess calorie, saturated fat and dietary salt along with sedentary activities is the prevailing factor behind emerging obesity and other non-communicable lifestyle related diseases in this modern era. Urbanization, industrialization, globalization caused a rapid transition in food habit, style of living and consequent elevated incidences of obesity and related health issues even in rural India. Aims and objectives: To compare the pattern of dietary intake, physical activities and anthropometric parameters as predictors of cardio-metabolic risks between rural and urban obese male adults in selected parts of West Bengal Method: A cross sectional study was done on total 150 obese male [age group- 20-50 years and Body Mass Index (BMI)-25-30kg/m2] randomly selected from both the rural and urban areas of Hooghly district in West Bengal (75- rural and 75-urban). Background information, physical activity and dietary records were collected. Anthropometric parameters like height, body weight, BMI, waist circumference (WC), waist to height ratio (WHtR) and Waist to hip ratio (WHR) were measured. Result: Significant differences (p value <0.05) were found regarding consumption of various food groups (cereals and pulses, fruits, vegetables, animal protein, visible fats and added sugar) and calorie intake between the two geographic areas. 58.7% of urban sample and 52% of rural sample failed to meet the minimum global recommendation for physical activity across all domains (work, travel and recreation). Mean time spent in travel and recreation domains were significantly higher (p value < 0.05) in rural males than urban. Between the both groups, body weight, BMI and WHR were significantly higher (p value < 0.05) in urban subjects than rural ones. WHtR was 0.57 for both groups, which indicates escalated cardio-metabolic risks for both these groups. Conclusion: compared to those urban subjects, rural subjects had better dietary habit or physical activity profile but as regard to healthy lifestyle, both the group is poor and their anthropometric profiles urge to immediate clinical intervention.

Cite this article:
Chaitali Bose, Alak Kumar Syamal, Koushik Bhattacharya. Pattern of Dietary Intake and Physical activity among Obese adults in Rural vs Urban areas in West Bengal: A Cross - Sectional Study. Research Journal of Pharmacy and Technology. 2022; 15(9):3924-0. doi: 10.52711/0974-360X.2022.00657

Chaitali Bose, Alak Kumar Syamal, Koushik Bhattacharya. Pattern of Dietary Intake and Physical activity among Obese adults in Rural vs Urban areas in West Bengal: A Cross - Sectional Study. Research Journal of Pharmacy and Technology. 2022; 15(9):3924-0. doi: 10.52711/0974-360X.2022.00657   Available on:

1    World Health Organization. Noncommunicable diseases: Progress monitor 2020. World Health Organization; 2020.
2    Tabish SA. Lifestyle Diseases: Consequences, Characteristics, Causes and Control. Journal of Cardiology & Current Research. 2017 Jul; 9(3): 00326.
3    Peters R et al. Common risk factors for major noncommunicable disease, a systematic overview of reviews and commentary: the implied potential for targeted risk reduction. Therapeutic advances in chronic disease. 2019 Oct;10:2040622319880392.
4    Al-Maskari F. Lifestyle diseases: An economic burden on the health services. UN Chronicle. The Magazine of the United Nations. 2010 Jul. retrieve on 10/06/2021
5    Schmidt H, Barnhill A. Equity and noncommunicable disease reduction under the sustainable development goals. PLoS medicine. 2015 Sep;12(9):e1001872.
6    Lin Y, Chen J, Shen B. Interactions between genetics, lifestyle, and environmental factors for healthcare. Translational Informatics in Smart Healthcare. 2017:167-91.
7    Forouzanfar MH et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The lancet. 2016;388(10053):1659-724.
8    Chandrakala M. Lifestyle Modification to Combat Adolescent Obesity. Asian Journal of Nursing Education and Research. 2011 Sep; 1(3):82-84.
9    Bhattacharya K et al. Pathophysiology of Obesity: Endocrine, Inflammatory and Neural regulators. Research Journal of Pharmacy and Technology. 2020; 13(9):4469-4478.
10    Gupta R et al. Twenty-year trends in cardiovascular risk factors in India and influence of educational status. European journal of preventive cardiology. 2012 Dec;19(6):1258-71.
11    Nethan S, Sinha D, Mehrotra R. Non communicable disease risk factors and their trends in India. Asian Pacific journal of cancer prevention: APJCP. 2017;18(7):2005.
12    Swaminathan K et al. Noncommunicable disease in rural India: Are we seriously underestimating the risk? The Nallampatti noncommunicable disease study. Indian Journal of Endocrinology and Metabolism. 2017 Jan; 21(1):90.
13    Frank JC. A Comparative Study to assess the Prevalence of Obesity among Secondary School Students of selected Urban and Rural areas in Jammu. International Journal of Advances in Nursing Management. 2019; 7(2):114-116.
14    Bhargava V. Obesity in India – The Omnipresent Influence. Research Journal of Pharmacology and Pharmacodynamics. 2013; 5(4). 220-226
15    Sarveswaran G, Kulothungan V, Mathur P. Clustering of noncommunicable disease risk factors among adults (18–69 years) in rural population, South-India. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2020 Sep;14(5):1005-14.
16    Sathish T et al. Seven-year longitudinal change in risk factors for non-communicable diseases in rural Kerala, India: The WHO STEPS approach. PLoS One. 2017 Jun;12(6): e0178949.
17    Pandey VK, Aggarwal P, Kakkar R. Modified BG Prasad Socio-economic Classification, Update-2019. Indian Journal of Community Health. 2019 Jan;31(1).
18    Jackson KA et al. Minimizing random error in dietary intakes assessed by 24-h recall, in overweight and obese adults. European Journal of Clinical Nutrition. 2008;62(4):537-43.
19    World Health Organization. Global physical activity questionnaire (GPAQ) analysis guide. 2012. Available from:
20    Bull FC, Maslin TS, Armstrong T. Global physical activity questionnaire (GPAQ): nine country reliability and validity study. Journal of Physical Activity and Health. 2009 Nov;6(6):790-804.
21    Pradeepa R et al. Prevalence of generalized & abdominal obesity in urban & rural India-the ICMR-INDIAB Study (Phase-I)[ICMR-INDIAB-3]. The Indian journal of medical research. 2015 Aug;142(2):139.
22    Ashwell M, Gunn P, Gibson S. Waist‐to‐height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta‐analysis. Obesity Reviews. 2012 Mar;13(3):275-86.
23    Bhattacharya K, Bhaduri D. Assessment of physical and physiological parameters among the male and female bakery workers from Palpa district of democratic Nepal. International Journal of Research in Pharmaceutical Sciences. 2018; 9(1): 226-235.
24    Alshamiri MQ et al. Waist-to-Height Ratio (WHtR) in Predicting Coronary Artery Disease Compared to Body Mass Index and Waist Circumference in a Single Center from Saudi Arabia. Cardiology Research and Practice. 2020 Mar;2020.
25    Purkait MP, Bhattacharya K. Assessment of Physiological Health Status in Relations to Different Anthropometric and Cardio-Respiratory Measures of Head-Supported Load Carrying Male Porters of Sikkim, India. International Journal of Pharmaceuticals and Clinical Research. 2017 Feb;9(2).
26    Indian Council of Medical Research. Recommended Dietary Allowances and Estimated Average Requirements Nutrient Requirements for Indians-2020. Nutrient requirements and recommended dietary allowances for Indians. A report of the expert group of the Indian Council of Medical Research National Institute of Nutrition Hyderabad. ICMR-National Institute of Nutrition; Hyderabad, India. 2020.
27    Reshmi B, Sethu G. A Study on Obesity among Children. Research Journal of Pharmacy and Technology.2015;8(8):1177-1178.
28    Bhadoria AS, Kapil U, Kaur S. Dietary pattern amongst obese and nonobese children in national capital territory of Delhi: A case control study. Journal of family medicine and primary care. 2014 Oct;3(4):473.
29    Khandelwal S, Reddy KS. Eliciting a policy response for the rising epidemic of overweight‐obesity in India. Obesity Reviews. 2013 Nov;14:114-25.
30    Satija A et al. Dietary patterns in India and their association with obesity and central obesity. Public Health Nutrition. 2015 Nov;18(16):3031-41.
31    ICMR-NIN. What India eats. ICMR-National Institute of Nutrition, Department of Health Research Ministry of Health and Family Welfare, Government of India, Hyderabad, India.2020. Retrieve on 10/06/2021
32    National Nutrition Monitoring Bureau Technical Report No 27 on Diet and Nutritional Status of Urban Population in India and Prevalence of Obesity, Hypertension, Diabetes and Hyperlipidemia in Urban Men and Women. 2017. Accessed from: rban%20Nutrition%20Report%20-Brief%20%20%20report.pdf
33    Mukherjee A et al. Dietary diversity and its determinants: A community-based study among adult population of Durgapur, West Bengal. Medical Journal of Dr. DY Patil Vidyapeeth. 2018 Jul;11(4):296.
34    Bowen L et al. Dietary intake and rural-urban migration in India: a cross-sectional study. PloS one. 2011 Jun;6(6):e14822.
35    World Health Organization. WHO STEPS surveillance manual: the WHO STEP wise approach to chronic disease risk factor surveillance. Geneva: World Health Organization; 2005.
36    Thakur JS et al. Non-communicable diseases risk factors and their determinants: A cross-sectional state-wide STEPS survey, Haryana, North India. PloS one. 2019 Nov;14(11):e0208872.
37    Tripathy JP et al. Urban rural differences in diet, physical activity and obesity in India: are we witnessing the great Indian equalisation? Results from a cross-sectional STEPS survey. BMC Public Health. 2016;16(1):1-10.
38    Oommen AM et al. Prevalence of risk factors for non-communicable diseases in rural & urban Tamil Nadu. The Indian Journal of Medical Research. 2016 Sep;144(3):460.
39    Sarma PS et al. Prevalence of risk factors of non-communicable diseases in Kerala, India: results of a cross-sectional study. BMJ Open. 2019 Nov; 9(11):e027880.
40    Sivanantham P et al. Profile of risk factors for Non-Communicable Diseases (NCDs) in a highly urbanized district of India: Findings from Puducherry district-wide STEPS Survey, 2019–20. Plos one. 2021 Jan;16(1):e0245254.
41    Anjana RM et al. Physical activity and inactivity patterns in India–results from the ICMR-INDIAB study (Phase-1)[ICMR-INDIAB-5]. International Journal of Behavioral Nutrition and Physical Activity. 2014 Dec;11(1):1-11.
42    Newtonraj A et al. Factors associated with physical inactivity among adult urban population of Puducherry, India: a population based cross-sectional study. Journal of Clinical and Diagnostic Research: JCDR. 2017 May;11(5):LC15-LC17.
43    Bhattacherjee S et al. A cross-sectional assessment of risk factors of non-communicable diseases in a sub-Himalayan region of West Bengal, India using who steps approach. Journal of the  Association of Physicians of India. 2015 Dec;63(12):34-40.
44    Aslesh OP et al. Level of physical activity in population aged 16 to 65 years in rural Kerala, India. Asia Pacific Journal of Public Health. 2016 Jan;28(1_suppl):53S-61S.
45    Devamani CS et al. Levels of physical inactivity in rural and urban Tamil Nadu, India: a cross-sectional study. Journal of Clinical and Preventive Cardiology. 2019 Jan;8(1):13.
46    Guin NB, Navneet, Bhatia N, Nitika N. Prevalence and Factors Contributing to Obesity among College Girls. International Journal of Nursing Education and Research. 2020; 8(3):314-320.
47    Shilpa S et al. Relationship between Physical activity and Obesity among female residents in a selected community. International Journal of Nursing Education and Research. 2021 Feb; 9(1):45-53.
48    Ashames A et al. Correlation between Neck Circumference, Waist Circumference, Body Mass Index, and Overweight/Obesity among Ajman University Students. Research Journal of Pharmacy and Technology. 2019; 12(5):2443-2452.
49    Bhattacharya K et al. Obesity, systemic inflammation and male infertility. Chemical Biology Letters. 2020 Mar; 7(2), 92-98.
50    Kulshrestha R et al. Periodontitis as an Independent Factor in Pathogenesis of Erectile Dysfunction. Biomedical and Pharmacology Journal. 2020 Mar; 13(1): 01-04.
51    WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363(9403):157-63.
52    Huxley R et al. Body mass index, waist circumference and waist: hip ratio as predictors of cardiovascular risk—a review of the literature. European Journal of Clinical Nutrition. 2010 Jan;64(1):16-22.
53    Debnath S. BMI is a better indicator of cardiac risk factors, as against elevated blood pressure in apparently healthy female adolescents and young adult students: Results from a cross-sectional study in Tripura. Indian journal of community medicine: official publication of Indian Association of Preventive & Social Medicine. 2016 Oct;41(4):292.
54    Joshi KR et al. Correlation of type 2 diabetes mellitus and dyslipidemia among Nepalese. Asian Journal of Pharmaceutical and Clinical Research. 2014; 7(5):295-299.
55    Hamjane N et al. The complications of overweight and obesity according to obesity indicators (body mass index and waist circumference values) in a population of Tangier (Northern Morocco): a cross-sectional study. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2019 Jul;13(4):2619-2624.
56    Bhattacharya K et al. Waist-to-height ratio and BMI as predictive markers for insulin resistance in women with PCOS in Kolkata, India. Endocrine. 2021 Apr;72(1):86-95.
57    Masoodi S, Bhardwaj U, Verma M. A Descriptive study to Identify High Risk Families in Terms of Health and Assess their Coping Strategies in a Selected Community of Kashmir. International Journal of Nursing Education and Research.2016; 4(1): 07-14.
58    Mewada PS et al. New Emerging Targets for Obesity. Asian Journal of Research in Chemistry. 2010;3(2): 278-287.    
59    Sengupta P, Chaudhuri P, Bhattacharya K. Screening obesity by direct and derived anthropometric indices with evaluation of physical efficiency among female college students of Kolkata. Annals of Medical and Health Science Research. 2013; 3(4):517-522.

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