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Gender and rural-urban differences in hypertension among youth in India: Insights from a large scale survey, 2015-16

Published online by Cambridge University Press:  28 March 2022

Ritu Rani Open the ORCID record for Ritu Rani [Opens in a new window] ,
Ajit Kumar Kannaujiya ,
Poushaly Talukdar  and
Ankit Sikarwar
Ritu Rani*
Affiliation:
International Institute for Population Sciences, Deonar, Mumbai, Maharashtra-400088, India
Ajit Kumar Kannaujiya
Affiliation:
International Institute for Population Sciences, India
Poushaly Talukdar
Affiliation:
International Institute for Population Sciences, India
Ankit Sikarwar
Affiliation:
French Institute for Demographic Studies (INED), France
*
*Corresponding author. Email: rituroy4@yahoo.com
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Abstract

Hypertension is considered one of the most persistent public health issues and the single largest contributor to avoidable morbidity and mortality in India. This study aims to investigate the prevalence and risk factors of hypertension in youths (15-29 years) by gender and rural-urban place of residence. Data from the fourth round of the National Family and Health Survey – 2015-16 (n = 395,207) was utilised for the study. After estimation of the stratified prevalence of hypertension by various characteristics, multivariable logistic regression analysis was conducted to assess the correlates of hypertension. The results revealed that the prevalence of hypertension in youths at the national level varied from 9.16% (Meghalaya) to 3.34% (Delhi). The stratified analysis suggests pronounced gender differences in the prevalence of hypertension among youth with insignificant rural-urban differences, although the prevalence was higher in urban areas. Overall, the prevalence of hypertension was found higher for male youths living in urban areas (7.82%) and females in rural areas (5.08%). Concurrently, results from regression analysis also suggest higher odds of hypertension for males residing in urban areas for a variety of demographic, socioeconomic, and health-risk factors. Advancing age, having no education, living in the northeast region, being overweight/obese and high blood glucose level was significantly associated with a greater likelihood of hypertension for both the gender and place of residence. Public health awareness regarding blood pressure needs to be tailored differently for both males and females considering the place of residence. The study suggests that more research should focus on blood pressure/hypertension among children, adolescents and youth since they point towards adult blood pressure patterns.

Keywords

HypertensionGenderRural-Urban
Type
Research Article
Information
Journal of Biosocial Science , Volume 55 , Issue 3 , May 2023 , pp. 523 - 537
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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References

Abariga, SA, Khachan, H and Al Kibria, GM (2020) Prevalence and determinants of hypertension in India based on the 2017 ACC/AHA guideline: evidence from the India national family health survey. American journal of hypertension 33(3), 252–60.CrossRefGoogle ScholarPubMed
Acharyya, T, Kaur, P and Murhekar, MV (2014) Prevalence of behavioral risk factors, overweight and hypertension in the urban slums of North 24 Parganas District, West Bengal, India, 2010. Indian journal of public health 58(3), 195.Google ScholarPubMed
Agyemang, C (2006) Rural and urban differences in blood pressure and hypertension in Ghana, West Africa. Public health 120(6), 525–533.CrossRefGoogle Scholar
Al Kibria, GM, Swasey, K, Gupta, RD, Choudhury, A, Nayeem, J, Sharmeen, A and Burrowes, V (2019) Differences in prevalence and determinants of hypertension according to rural–urban place of residence among adults in Bangladesh. Journal of biosocial science 51(4), 578–590.Google Scholar
Amma, GM, Vasudevan, B and Akshayakumar, S (2015) Prevalence and determinants of prehypertension and hypertension among adolescents: a school based study in a rural area of Kerala, India. International Journal of Research in Medical Sciences 3(1), 58–64.Google Scholar
Arokiasamy, P (2018) India’s escalating burden of non-communicable diseases. The lancet global health, 6(12), e1262–e1263.CrossRefGoogle ScholarPubMed
Bachmann, H, Horacek, U, Leowsky, M and Hirche, H (1987) Blood pressure in children and adolescents aged 4 to 18. Correlation of blood pressure values with age, sex, body height, body weight and skinfold thickness (Essen Blood Pressure Study). Monatsschrift Kinderheilkunde 135(3), 128–134.Google ScholarPubMed
Bauer, UE, Briss, PA, Goodman, RA and Bowman, BA (2014) Prevention of chronic disease in the 21st century: elimination of the leading preventable causes of premature death and disability in the USA. The Lancet 384(9937), 45–52.CrossRefGoogle ScholarPubMed
Bhansali, A, Dhandania, VK, Deepa, M, Anjana, RM, Joshi, SR, Joshi, PP, Madhu, SV, Rao, PV, Subashini, R, Sudha, V and Unnikrishnan, R (2015) Prevalence of and risk factors for hypertension in urban and rural India: the ICMR–INDIAB study. Journal of human hypertension 29(3), 204–209.CrossRefGoogle Scholar
Carey, RM and Whelton, PK (2018) Prevention, detection, evaluation, and management of high blood pressure in adults: synopsis of the 2017 American College of Cardiology/American Heart Association Hypertension Guideline. Annals of internal medicine 168(5), 351–358.Google ScholarPubMed
Chan, G, Huo, Y, Kelly, S, Leung, J, Tisdale, C, and Gullo, M (2022) The impact of eSports and online video gaming on lifestyle behaviours in youth: A systematic review. Computers in Human Behavior, 126, 106974. https://doi.org/10.1016/j.chb.2021.106974.CrossRefGoogle Scholar
Chandramouli C and Registrar General (2011) Census of India. Provisional Population Totals. New Delhi: Government of India. URL: https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/unpd_201510_egm-s2-chandramouli_presentation.pdf (accessed on 10th February 2020).Google Scholar
Chockalingam, A (2007) Impact of world hypertension day. Canadian Journal of Cardiology 23(7), 517–519.CrossRefGoogle ScholarPubMed
Dong, GH, Wang, D, Liu, MM, Liu, YQ, Zhao, Y, Yang, M, Meng, XJ, Tian, S, Meng, X and Zhang, HY (2012) Sex difference of the prevalence and risk factors associated with prehypertension among urban Chinese adults from 33 communities of China: the CHPSNE study. Journal of hypertension 30(3), 485–491.CrossRefGoogle ScholarPubMed
Everett, B and Zajacova, A (2015) Gender differences in hypertension and hypertension awareness among young adults. Biodemography and social biology 61(1), 1–17.CrossRefGoogle ScholarPubMed
Garrett, DA, Sangha, JK, Kothari, MT and Boyle, D (2011) Field-friendly techniques for assessment of biomarkers of nutrition for development. The American journal of clinical nutrition 94(2), 685S–690S.CrossRefGoogle ScholarPubMed
Ghosh, S and Kumar, M (2019) Prevalence and associated risk factors of hypertension among persons aged 15–49 in India: a cross-sectional study. BMJ open 9(12), e029714.Google ScholarPubMed
Ghosh, S, Mukhopadhyay, S and Barik, A (2016) Sex differences in the risk profile of hypertension: a cross-sectional study. BMJ open 6(7). e010085.CrossRefGoogle ScholarPubMed
Gulati, BK, Pandey, A and Ubaidullah, M (2015) Potential gain in life expectancy after partial and complete elimination of specified causes of death: An analysis of Medical Certification of Causes of Death data in India and its selected states. International Journal of Multidisciplinary Research and Development 2(4), 508–512.Google Scholar
Gupta, PC, Gupta, R and Pednekar, MS (2004) Hypertension prevalence and blood pressure trends in 88 653 subjects in Mumbai, India. Journal of human hypertension 18(12), 907–910.CrossRefGoogle ScholarPubMed
Gupta, R (2016) Convergence in urban–rural prevalence of hypertension in India. Journal of human hypertension 30(2), 79–82.Google ScholarPubMed
Indian Council of Medical Research (2017) Public Health Foundation of India, and Institute for Health metrics and Evaluation. India: Health of the Nation’s States. The India State-Level Disease Burden Initiative. New Delhi, India: ICMR, PHFI, and IHME;2017.Google Scholar
Institute for Health Metrics and Evaluation and Global Burden of Diseases (2019) GBD compare–Viz Hub. Noncommunicable Diseases. Both sexes, all ages, 2019, total% of deaths. Available from: https://vizhub.healthdata.org/gbd-compare/ Google Scholar
International Institute for Population Sciences and ICF (2017) National Family Health Survey (NFHS-4), 2015-16: India. Mumbai: International Institute for Population Sciences. URL: http://rchiips.org/nfhs/ Google Scholar
Kumar, K, Misra, S (2021) Sex differences in prevalence and risk factors of hypertension in India: Evidence from the National Family Health Survey-4. PLOS ONE 16(4): e0247956. https://doi.org/10.1371/journal.pone.0247956 CrossRefGoogle ScholarPubMed
Lajous, M, Bijon, A, Fagherazzi, G, Rossignol, E, Boutron-Ruault, MC and Clavel-Chapelon, F (2014) Processed and unprocessed red meat consumption and hypertension in women. The American journal of clinical nutrition, 100(3), 948–952.CrossRefGoogle ScholarPubMed
Mathur, P, Kulothungan, V, Leburu, S, Krishnan, A, Chaturvedi, HK, Salve, HR et al. (2021) National noncommunicable disease monitoring survey (NNMS) in India: Estimating risk factor prevalence in adult population. PloS one, 16(3), e0246712.CrossRefGoogle ScholarPubMed
Ministry of Youth Affairs and Sports (2014) National Youth Policy 2014. URL: https://yas.nic.in/sites/default/files/National-Youth-Policy-Document.pdf (accessed on 4th March 2020).Google Scholar
Mungreiphy, NK, Dhall, M, Tyagi, R, Saluja, K, Kumar, A, Tungdim, MG, Sinha, R, Rongmei, KS, Tandon, K, Bhardwaj, S and Kapoor, AK (2012) Ethnicity, obesity and health pattern among Indian population. Journal of natural science, biology, and medicine 3(1), 52.Google ScholarPubMed
Murray, CJ, Aravkin, AY, Zheng, P, Abbafati, C, Abbas, KM, Abbasi-Kangevari, M et al. (2020) Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet 396(10258), 1223–1249.CrossRefGoogle Scholar
Peltzer, K and Pengpid, S (2018) The prevalence and social determinants of hypertension among adults in Indonesia: a cross-sectional population-based national survey. International journal of hypertension. doi: 10.1155/2018/5610725CrossRefGoogle Scholar
Raj, M, Sundaram, KR, Paul, M, Deepa, AS and Kumar, RK (2007) Obesity in Indian children: time trends and relationship with hypertension. National Medical Journal of India 20(6), 288.Google ScholarPubMed
Ramakrishnan, S, Zachariah, G, Gupta, K, Rao, JS, Mohanan, PP, Venugopal, K, Sateesh, S, Sethi, R, Jain, D, Bardolei, N and Mani, K (2019) Prevalence of hypertension among Indian adults: results from the great India blood pressure survey. Indian heart journal 71(4), 309–313.CrossRefGoogle ScholarPubMed
Reckelhoff, JF (2001) Gender differences in the regulation of blood pressure. Hypertension 37(5), 1199–1208.CrossRefGoogle ScholarPubMed
Thrift, AG, Evans, RG, Kalyanram, K, Kartik, K, Fitzgerald, SM and Srikanth, V (2011) Gender-specific effects of caste and salt on hypertension in poverty: a population-based study. Journal of hypertension 29(3), 443–450.CrossRefGoogle ScholarPubMed
Tripathy, JP, Thakur, JS, Jeet, G, Chawla, S and Jain, S (2017) Alarmingly high prevalence of hypertension and pre-hypertension in North India-results from a large cross-sectional STEPS survey. PloS one 12(12), e0188619.CrossRefGoogle ScholarPubMed
World Health Organization (2011) Young people: health risks and solutions. Geneva: WHO. URL: https://www.who.int/news-room/fact-sheets/detail/adolescents-health-risks-and-solutions Google Scholar
World Health Organization (2017) National multisectoral action plan for prevention and control of noncommunicable diseases. URL: https://www.who.int/india/news/detail/12-07-2017-national-multisectoral-action-plan-for-prevention-and-control-of-noncommunicable-diseases (accessed on 2nd February 2022).Google Scholar
World Health Organization (2021) Hypertension. URL: https://www.who.int/newsroom/factsheets/detail/hypertension (accessed on 15th January 2022).Google Scholar