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Vigasini, Nora
- Prehypertension and Hypertension Risk Assessment Among Female Cotton Mill Workers
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Authors
Affiliations
1 Department of Home Science, Women’s Christian College, Affiliated to the University of Madras, Chennai - 600 006, Tamil Nadu, IN
1 Department of Home Science, Women’s Christian College, Affiliated to the University of Madras, Chennai - 600 006, Tamil Nadu, IN
Source
Journal of Ecophysiology and Occupational Health, Vol 21, No 3 (2021), Pagination: 126-131Abstract
Aim of the Study: The present study aimed to determine the risk of prehypertension and hypertension and its association with certain occupational, sociodemographic and lifestyle determinants. Material and Methods: A descriptive study was conducted among 180 female cotton mill workers in the production sector of two cotton spinning mills in Central Travancore, Kerala. A questionnaire was framed to elicit information regarding occupational, sociodemographic and lifestyle variables. Blood pressure readings and anthropometric measurements like body height and weight were recorded. Results: The prevalence of prehypertension and hypertension among the workers were found to be 30% and 7.22% respectively. It was observed that age and body mass index were statistically significant with prehypertension and hypertension (p<0.05) compared to the number of years of employment in the mills, education, annual family income and physical activity which were not statistically significant. Pearson’s correlation test revealed that age and body mass index were positively correlated with mean blood pressure. Conclusion: The present study observed a higher percentage of prehypertension among the workers. This stresses on the importance of early identification and control of more modifiable risk factors in the prevention and treatment of prehypertension and hypertension.
Keywords
Determinants, Lifestyle, Occupational, Statistically Significant.Full Text
References
- Lips-Wiersma M. Wright S. Dik BJ. Meaningful work: differences among blue-, pink, and white-collar occupations. Career Development International. Aug 2016; 21 (5): 534–551. https://www.researchgate.net/publication/308042364_Meaningful_ work_differences_among_blue-_pink-_and_white-collar_occupations; https://doi.org/10.1108/CDI-04-2016-0052
- Elser H. Falconi AM. Bass M. Cullen MR. Blue-collar work and women’s health: a systematic review of the evidence from 1990 to 2015. SSM Popul Health. Aug 2018; 6:195–244. https://pubmed.ncbi.nlm.nih.gov/30417066/; https://doi.org/10.1016/j.ssmph.2018.08.002
- Ismail IM. Binub K. Prevalence of hypertension and its associated factors among cotton textile workers of Kannur, Kerala. Menoufia Medical Journal. Mar 2016; 29(4): 991. https://www. mmj.eg.net/article.asp?issn=11102098;year=2016;volume=29;iss ue=4;spage=991;epage=995;aulast=Ismail
- Liew SJ. Lee JT. Tan, CS. Koh CHG. Van Dam R. Müller Riemenschneider F. Sociodemographic factors in relation to hypertension prevalence, awareness, treatment and control in a multi-ethnic Asian population: a cross-sectional study. BMJ Open. Apr 2016; 9(5). https://bmjopen.bmj.com/content/9/5/e025869; https://doi.org/10.1136/bmjopen-2018-025869
- Bosu WK. Determinants of mean blood pressure and hypertension among workers in West Africa. Int J Hypertens. Jan 2016; 1-19. https://www.hindawi.com/journals/ijhy/2016/3192149/; https://doi.org/10.1155/2016/3192149
- Farhud DD. Impact of lifestyle on health. Iran J Public Health. Oct 2015;44(11):1442–1444. https://www.ncbi.nlm.nih.gov/ pmc/articles/PMC4703222/
- Akber Ali N. Shahil Feroz A. Prevalence of hypertension and its risk factors among cotton textile workers in low- and middle income countries: a protocol for a systematic review. Syst Rev. May 2020; 9(1). https://pubmed.ncbi.nlm.nih.gov/32359375/; https://doi.org/10.1186/s13643-020-01364-z
- WHO expert consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. The Lancet, Mar 2004; 157–163. https://pubmed. ncbi.nlm.nih.gov/14726171/; https://doi.org/10.1016/S0140-6736(03)15268-3
- Plavnik FL. Zanella MT. Validation study of an automated wrist monitor, omron model HEM-608, compared with the standard methods for blood pressure measurement. Arq Bras Cardiol. Dec 2001; 77(6): 537–540. https://pubmed. ncbi.nlm.nih.gov/11799428/; https://doi.org/10.1590/S0066-782X2001001200004
- Muntner P. Shimbo D. Carey RM. Charleston JB. Gaillard T. Misra S. Measurement of blood pressure in humans: a scientific statement from the American heart association. Hypertension. Mar 2019; 73: e35–e66. https://pubmed.ncbi.nlm.nih.gov/30827125/; https://doi.org/10.1161/HYP.0000000000000087
- Chobanian AV. Bakris GL. Black HR. Cushman WC. Green LA. Izzo JL et al. The seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA. May 2003; 289(19): 2560–72. https://pubmed.ncbi.nlm.nih.gov/12748199/; https://doi.org/10.1001/jama.289.19.2560
- Dangi B. Bhise A. Cotton dust exposure: analysis of pulmonary function and respiratory symptoms. Lung India. Jul 2017; 34(2): 144–9. https://pubmed.ncbi.nlm.nih.gov/28360462/; https://doi.org/10.4103/0970-2113.201319
- Buford TW. Hypertension and aging. Ageing Res Rev. Mar 2016; 26: 96–111. https://www.ncbi.nlm.nih.gov/pmc/articles/ PMC4768730/; https://doi.org/10.1016/j.arr.2016.01.007
- Prabhakaran D. Jeemon P. Ghosh S. Shivashankar R. Ajay VS. Kondal D et al. Prevalence and incidence of hypertension: results from a representative cohort of over 16,000 adults in three cities of South Asia. Indian Heart J. Aug 2017; 69(4): 434–441. https://pubmed.ncbi.nlm.nih.gov/28822507/; https://doi.org/10.1016/j. ihj.2017.05.021
- Ministry of housing and urban poverty alleviation. Government of India: Pradhan Mantri Awas Yojana Scheme Guidelines, Jun 2015. http://mohua.gov.in/upload/uploadfiles/files/2TPQMA_Guidelines_for_Print%242017Jun28155048.pdf
- Thrift AG. Ragavan RS. Riddell MA. Joshi R. Thankappan KR. Chow C. Hypertension in rural India: the contribution of socioeconomic position. Journal of the American Heart Association. Apr 2020; 9(7). https://www.ahajournals.org/doi/full/10.1161/ JAHA.119.014486; https://doi.org/10.1161/JAHA.119.014486
- Unger T. Borghi C. Charchar F. Khan NA. Poulter NR. Prabhakaran D et al. International society of hypertension global hypertension practice guidelines. Hypertension. Jun 2020; 75(6): 1334–1357. https://pubmed.ncbi.nlm.nih.gov/32370572/; https://doi.org/10.1161/HYPERTENSIONAHA.120.15026
- Azevedo LM. Chiavegato LD. Carvalho CRF. Braz JR. Nunes Cabral CM. Padula RS. Are blue-collar workers more physically active than white-collar at work? Arch Environ Occup Health. Oct 2020; 23:1-10. https://pubmed.ncbi.nlm.nih.gov/33092496/; https://doi.org/10.1080/19338244.2020.1835796
- Ramakrishnan S. Zachariah G. Gupta K. Shivkumar Rao J. Mohanan PP. Venugopal K et al. Prevalence of hypertension among Indian adults: results from the great India blood pressure survey. Indian Heart Journal. Aug 2019; 71(4): 309–313. https://pubmed.ncbi.nlm.nih.gov/31779858/
- Popescu SM. Scrieciu M. Mercuţ V. Ţuculina, M. Dascălu I. Hypertensive patients and their management in dentistry. ISRN Hypertension. Oct 2013; 1–8. https://www.hindawi.com/journals/isrn/2013/410740/; https://doi.org/10.5402/2013/410740
- Punitha KP. Subitha L. Gautam R. Pattern of morbidity among female textile workers in Puducherry, South India. Int J Med Public Health. Aug 2016; 6(3):140–143. https://www.ijmedph.org/article/472; https://doi.org/10.5530/ijmedph.2016.3.