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PHRP : Osong Public Health and Research Perspectives

OPEN ACCESS. pISSN: 2210-9099. eISSN: 2233-6052

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"Bangladesh"

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"Bangladesh"

Original Articles
Noncommunicable Disease Risk Factors Among Adolescent Boys and Girls in Bangladesh: Evidence From a National Survey
Nushrat Jahan Urmy, Md. Mokbul Hossain, Abu Ahmed Shamim, Md. Showkat Ali Khan, Abu Abdullah Mohammad Hanif, Mehedi Hasan, Fahmida Akter, Dipak Kumar Mitra, Moyazzam Hossaine, Mohammad Aman Ullah, Samir Kanti Sarker, SM Mustafizur Rahman, Md. Mofijul Islam Bulbul, Malay Kanti Mridha
Osong Public Health Res Perspect 2020;11(6):351-364.
Published online December 22, 2020
DOI: https://doi.org/10.24171/j.phrp.2020.11.6.03
<sec> <title>Objectives</title> <p>To assess the prevalence of noncommunicable disease (NCD) risk factors and the factors associated with the coexistence of multiple risk factors (≥ 2 risk factors) among adolescent boys and girls in Bangladesh.</p></sec> <sec> <title>Methods</title> <p>Data on selected NCD risk factors collected from face to face interviews of 4,907 boys and 4,865 girls in the national Nutrition Surveillance round 2018–2019, was used. Descriptive analysis and multivariable logistic regression were performed.</p></sec> <sec> <title>Results</title> <p>The prevalence of insufficient fruit and vegetable intake, inadequate physical activity, tobacco use, and being overweight/obese was 90.72%, 29.03%, 4.57%, and 6.04%, respectively among boys; and 94.32%, 50.33%, 0.43%, and 8.03%, respectively among girls. Multiple risk factors were present among 34.87% of boys and 51.74% of girls. Younger age (<italic>p</italic> < 0.001), non-slum urban (<italic>p</italic> < 0.001) and slum residence (<italic>p</italic> < 0.001), higher paternal education (<italic>p</italic> = 0.001), and depression (<italic>p</italic> < 0.001) were associated with the coexistence of multiple risk factors in both boys and girls. Additionally, higher maternal education (<italic>p</italic> < 0.001) and richest wealth quintile (<italic>p</italic> = 0.023) were associated with the coexistence of multiple risk factors in girls.</p></sec> <sec> <title>Conclusion</title> <p>The government should integrate specific services into the existing health and non-health programs which are aimed at reducing the burden of NCD risk factors.</p></sec>

Citations

Citations to this article as recorded by  Crossref logo
  • A comparative analysis of non-communicable disease risk among adolescents aged 12 to 18 in the Eastern Cape, South Africa, with regard to sex, school quintiles, and perceived stress
    Avela Mathe, Maria Maya van Gent, Rudolph Leon van Niekerk
    Frontiers in Public Health.2025;[Epub]     CrossRef
  • Co-occurrence of non-communicable disease risk factors among adolescents in Jos, Nigeria
    Olutomi Y. Sodipo, Tolulope O. Afolaranmi, Hadiza A. Agbo, Esther A. Envuladu, Luret A. Lar, Emilia A. Udofia, Ayuba I. Zoakah
    African Journal of Primary Health Care & Family Me.2024;[Epub]     CrossRef
  • Comparing Adolescents at Risk and Not at Risk of Non-Communicable Disease in Terms of Body Composition and Physical Activity in the Eastern Cape, South Africa
    Sisanda Mvula, Maya Maria Van Gent, Rudolph Leon van Niekerk
    Physical Activity and Health.2024; 8(1): 60.     CrossRef
  • Assessment of Risk Factors for Non-communicable Diseases among Young Adults in Kerala, India
    Ahana Salam, Jayakrishnan Thayyil, Nithya Girija, Anjali Lakshmanan, Sruthikrishna Punathukandi, Anupama Raj Karattuthazhathu
    Preventive Medicine: Research & Reviews.2024;[Epub]     CrossRef
  • Dietary patterns and indicators of cardiometabolic risk among rural adolescents: A cross-sectional study at 15-year follow-up of the MINIMat cohort
    Mohammad Redwanul Islam, Syed Moshfiqur Rahman, Katarina Selling, Pieta Näsänen-Gilmore, Maria Kippler, Eero Kajantie, Anisur Rahman, Jesmin Pervin, Eva-Charlotte Ekström
    Frontiers in Nutrition.2023;[Epub]     CrossRef
  • Assuring Bangladesh’s future: non-communicable disease risk factors among the adolescents and the existing policy responses
    Tuhin Biswas, Peter Azzopardi, Syeda Novera Anwar, Tim David de Vries, Luis Manuel Encarnacion-Cruz, Md. Mehedi Hasan, M. Mamun Huda, Sonia Pervin, Rajat Das Gupta, Dipak Kumar Mitra, Lal B. Rawal, Abdullah Al Mamun
    Journal of Health, Population and Nutrition.2022;[Epub]     CrossRef
  • Lifestyle practices predisposing adolescents to non communicable diseases in Delhi
    Amod L. Borle, Navya Gangadharan, Saurav Basu
    Dialogues in Health.2022; 1: 100064.     CrossRef
  • 20,939 View
  • 312 Download
  • 5 Web of Science
  • Crossref
Secondhand Smoking Among Children in Rural Households: A Community Based Cross-Sectional Study in Bangladesh
Rishad Choudhury Robin, Narongsak Noosorn, Sheikh Mohammad Alif
Osong Public Health Res Perspect 2020;11(4):201-208.
Published online August 31, 2020
DOI: https://doi.org/10.24171/j.phrp.2020.11.4.09
<sec> <title>Objectives</title> <p>This study aimed to determine the factors associated with reducing exposure to secondhand smoke among children in households of rural Bangladesh.</p></sec> <sec> <title>Methods</title> <p>A cross-sectional study of 410 smokers and non-smokers, in 6 villages of Munshigonj district was conducted. Data were collected randomly using a self-administrative questionnaire. Differences between variables were assessed using Chi-square or Fisher’s exact test (as appropriate). Univariate and multivariate logistic regression models were used to investigate associations. All results were presented as unadjusted and adjusted odds ratios with a 95% confidence interval. The level of statistical significance was reached when <italic>p</italic> < 0.05.</p></sec> <sec> <title>Results</title> <p>A smoker in the household was determined to be a risk factor associated with exposure of other household members to secondhand smoke (<italic>p</italic> < 0.001). Higher education, strict implementation of household smoke-free rules, a higher influence of social norms and culture, as well as moderate knowledge on exposure to secondhand smoke were considered as preventive factors associated with exposure of others in the home to secondhand smoke.</p></sec> <sec> <title>Conclusion</title> <p>Exposure to secondhand smoke is an extensive and preventable risk factor for children, and reducing exposure to secondhand smoke will have a largely positive effect in the community. An effective public health intervention model may reduce secondhand smoking.</p></sec>

Citations

Citations to this article as recorded by  Crossref logo
  • Awareness and attitudes toward passive smoking: sociodemographic correlates and public health implications from a cross-sectional study in Saudi Arabia
    Azharuddin Sajid Syed Khaja, Hamad Rudhayman Alrashdi, Osama Abdullah Almuzaini, Hatim Salem Alanzi, Rabah Abdulaziz Alshuhail, Khursheed Muzammil, Sheeba Afreen, Mohd Saleem
    Frontiers in Public Health.2025;[Epub]     CrossRef
  • Second Hand Smoke Exposure among Children in Indian Homes: Findings from the Global Adult Tobacco Survey
    Jaya Prasad Tripathy
    Behavioral Medicine.2024; 50(1): 75.     CrossRef
  • Exposure to secondhand smoke is associated with poor sleep quality among non-smoking university students in Bangladesh: a cross-sectional survey
    Md. Hasan Al Banna, Keith Brazendale, Mohammad Hamiduzzaman, Bright Opoku Ahinkorah, Mohammad Tazrian Abid, M. A. Rifat, Mst. Sadia Sultana, Justice Kanor Tetteh, Satyajit Kundu, Md Shaheenur Rahman Shekhar, Md Khaleduzzaman, Md. Nazmul Hassan
    Scientific Reports.2023;[Epub]     CrossRef
  • Need for sensitization on serious threats of second-hand smoke: Findings from a national study in Mauritius, a small island developing state in the Indian Ocean
    Marie Chan Sun, Urmila D. Beeharry Panray, Jayrani Cheeneebash, Raj Gunesh
    Preventive Medicine Reports.2022; 25: 101667.     CrossRef
  • Muslim Communities Learning About Second-hand Smoke in Bangladesh (MCLASS II): a combined evidence and theory-based plus partnership intervention development approach
    Ian Kellar, Zunayed Al Azdi, Cath Jackson, Rumana Huque, Noreen Dadirai Mdege, Kamran Siddiqi
    Pilot and Feasibility Studies.2022;[Epub]     CrossRef
  • Social measures for reducing exposure to secondhand smoke in migrant workers of sugarcane harvest in the lower northern region of Thailand
    Narongsak Noosorn, Anukool Manoton, Rishad Choudhury Robin
    Tobacco Induced Diseases.2021; 19(September): 1.     CrossRef
  • 13,576 View
  • 157 Download
  • 5 Web of Science
  • Crossref
Undiagnosed Isolated Systolic and Diastolic Hypertension Subtypes and Their Correlates in Bangladesh: A Nationwide Survey
Shyfuddin Ahmed, Sonia Pervin, Tuhin Biswas, Muhammad Ashique Haider Chowdhury, Mohammad Abul Hasnat, Muhammad Mizanur Rashid Shuvra
Osong Public Health Res Perspect 2019;10(1):12-19.
Published online February 28, 2019
DOI: https://doi.org/10.24171/j.phrp.2019.10.1.04
<sec> <title>Objectives</title> <p>This study was performed to identify the distribution of undiagnosed isolated hypertension subtypes and their correlates amongst adults aged 35 years and older in Bangladesh using data from the Bangladesh Demography and Health Survey 2011.</p></sec> <sec> <title>Methods</title> <p>Out of a total of 17,964 selected households, 7,880 were included in the final analysis for this study. Systolic and diastolic blood pressure (BP) were measured 3× at 10-minute intervals. Hypertension subtypes were defined for individuals not under antihypertensive treatment as systolic-diastolic hypertension (SDH): systolic BP (SBP) ≥ 140 mm Hg and diastolic BP (DBP) ≥ 90 mm Hg; isolated diastolic hypertension (IDH): SBP < 140 mm Hg and DBP ≥ 90 mm Hg, and isolated systolic hypertension (ISH): SBP ≥140 mm Hg and DBP < 90 mm Hg.</p></sec> <sec> <title>Results</title> <p>The predominant hypertension subtypes were SDH and IDH [5.2%; 95% confidence interval (CI): 4.7–5.1] followed by ISH (3.8%; 95% CI: 3.4–4.2). Multiple logistic regression showed that age and gender were significant predictors of ISH. SDH was associated with females [odds ratio (OR): 1.8; 95% CI: 1.3–2.6], the older age group (OR-7.4; 95% CI: 4.3–12.7), and overweight or obese individuals (OR: 1.6; 95% CI: 1.1–2.4). Non-manual work (OR: 1.5; 95% CI: 1.0–2.0]) and being overweight or obese (OR: 1.9; 95% CI: 1.4–2.8) were factors associated with IDH.</p></sec> <sec> <title>Conclusion</title> <p>ISH, IDH and SDH represent salient subtypes of hypertension in Bangladesh. To identify preventive intervention for averting adverse cardiovascular events, further research is needed.</p></sec>

Citations

Citations to this article as recorded by  Crossref logo
  • Prevalence of Undiagnosed Hypertension in Bangladesh: A Systematic Review and Meta‐Analysis
    Nourin Sultana, Zeba Afia, Shamsuz Zoha, Md. Parvez Mosharaf, Md. Golam Hossain, Md. Kaderi Kibria
    The Journal of Clinical Hypertension.2025;[Epub]     CrossRef
  • Global Prevalence of Isolated Systolic, Isolated Diastolic, and Systodiastolic Hypertension: A Systematic Review and Meta-Analysis
    Víctor Juan Vera-Ponce, Lupita Ana Maria Valladolid-Sandoval, Jhosmer Ballena-Caicedo, Fiorella E. Zuzunaga-Montoya
    Cardiovascular Medicine.2025; 28(1): 3.     CrossRef
  • Obesity Accompanied by an Odd Lipid Profile is a Major Risk Factor for Hypertension Among Women
    Sahar Abdulaziz Al Sedairy
    International Journal of Pharmacology.2024; 20(1): 34.     CrossRef
  • Disparities in Prevalence and Determinants of Hypertension amongst Bamiléké Adults Residing in Two Different Agroecological Zones of Cameroon
    Maxwell Wandji Nguedjo, Nanhah Kamga Jules Vidal, Alice Louise Woguia, Pauline Vervaine Hagbe, David Goda, Dany Joël Ngassa Ngoumen, Hippolyte Tene Mouafo, Boris Gabin Kingue Azantsa, Judith Laure Ngondi, Julius Enyong Oben
    Open Journal of Epidemiology.2024; 14(03): 419.     CrossRef
  • Prevalence and risk factors of hypertension among bank employees in Dhaka city of Bangladesh
    Kamruzzaman Razibi, Rokshana Rabeya, Rashadul Islam, M. A. Rifat, Abdus Salam Mondol
    Cogent Public Health.2023;[Epub]     CrossRef
  • Adiposity and insulin resistance mediate the inverse association between legume intake and blood pressure: a cross-sectional analysis in secondary cardiovascular prevention
    Alinne Paula de Almeida, Leidjaira Lopes Juvanhol, Ângela Cristine Bersch-Ferreira, Camila Ragne Torreglosa, Aline Marcadenti, Bernardete Weber, Josefina Bressan, Helen Hermana Miranda Hermsdorff
    British Journal of Nutrition.2022; 128(12): 2353.     CrossRef
  • Prevalence of isolated diastolic hypertension and the risk of cardiovascular mortality among adults aged 40 years and older in northeast China: a prospective cohort study
    Ling Yue, Hongyun Chen, Qun Sun, Lei Shi, Jixu Sun, Guangxiao Li, Liying Xing, Shuang Liu
    BMJ Open.2022; 12(9): e061762.     CrossRef
  • Hypertension and undiagnosed hypertension among Bangladeshi adults: Identifying prevalence and associated factors using a nationwide survey
    Ahmed Hossain, Shakib Ahmed Suhel, Saifur Rahman Chowdhury, Shofiqul Islam, Nayma Akther, Nipa Rani Dhor, Mohammad Zakir Hossain, Mohammad Anwar Hossain, Syed Azizur Rahman
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Prevalence of Hypertension and Associated Risk Factors Among Women in a Rural Community in Bangladesh: A Cross-Sectional Study
    Anika Boitchia, Shabnam Naher, Sabbir Pervez, Moyazzem Hossainc
    Millennium Journal of Humanities and Social Scienc.2021; : 1.     CrossRef
  • Distribution of hypertension subtypes in a hill tribe of Mizoram, Northeast India
    Prasanta K. Borah, J. Mahanta, H.C. Kalita, Chandra Kanta Bhattacharjee
    Indian Heart Journal.2020;[Epub]     CrossRef
  • The different associations between platelet distribution width and hypertension subtypes in males and females
    Tingwei Li, Jiahui Jin, Zhaowei Meng, Wenjuan Zhang, Yongle Li, Xuefang Yu, Xin Du, Ming Liu, Qing Zhang, Ying Gao, Kun Song, Xing Wang, Yaguang Fan, Yan Wang
    Bioscience Reports.2020;[Epub]     CrossRef
  • Prevalence and Associated Factors of Hypertension Subtypes Among the Adult Population in Nepal: Evidence from Demographic and Health Survey Data
    Rajat Das Gupta, Animesh Talukdar, Shams Shabab Haider, Mohammad Rifat Haider
    Osong Public Health and Research Perspectives.2019; 10(6): 327.     CrossRef
  • 9,704 View
  • 73 Download
  • Crossref
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