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Research Article

Socioeconomic disparities in the burden of hypertension among Indonesian adults - a multilevel analysis

ORCID Icon, ORCID Icon & ORCID Icon
Article: 2129131 | Received 06 Jun 2022, Accepted 22 Sep 2022, Published online: 11 Oct 2022

References

  • World Health Organization(WHO). Noncommunicable diseases country profiles 2018. World Heal. Organ. ed. Geneva: Health Communications Australia Pty Limited; 2018.
  • Mohammed Nawi A, Mohammad Z, Jetly K, et al. The prevalence and risk factors of hypertension among the Urban population in southeast Asian countries: a systematic review and meta-analysis. Int J Hypertens. 2021;2021:1–10. Salvetti M, editorInternetAvailable from https://www.hindawi.com/journals/ijhy/2021/6657003/
  • Krishnan A, Garg R, Kahandaliyanage A. Hypertension in the South-East Asia Region: an overview. Spec issue blood press. Tak Control. 2013;17:7–14.
  • MA H, Al MA, Reid C, et al. Prevalence, awareness, treatment and control of hypertension in Indonesian adults aged ≥40 years: findings from the Indonesia family life survey (IFLS). PLoS One. 2016;11: e0160922. Li Y, editor.
  • Busingye D, Arabshahi S, Subasinghe AK, et al. Do the socioeconomic and hypertension gradients in rural populations of low and middle-income countries differ by geographical region? A systematic review and meta-analysis. Int J Epidemiol. 2014;43:1563–1577.
  • WHO. World health organization (Who)/international society of hypertension (ISH) statement of hypertension.J Hypertens. 2003;21:1983–1992.
  • Zhou B, Carrillo-Larco RM, Danaei G, et al. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. Lancet. 2021;398:957–980.
  • Sohn K. Sick but unaware: hypertension in Indonesia. Biodemography Soc Biol. 2015;61:298–318.
  • Hosseinpoor AR, Bergen N, Mendis S, et al. Socioeconomic inequality in the prevalence of noncommunicable diseases in low- and middle-income countries: results from thE world health survey. BMC Public Health. 2012;12:1.
  • Moser KA, Agrawal S, Davey Smith G, et al. Socio-Demographic inequalities in the prevalence, diagnosis and management of hypertension in india: analysis of nationally-representative survey data. Plos One. Vol. 9. 2014. p. e86043.
  • Grotto I, Huerta M, Sharabi Y. Hypertension and socioeconomic status. Curr Opin Cardiol. 2008;23:335–339.
  • Grotto I, Huerta M, Grossman E, et al. Relative impact of socioeconomic status on blood pressure lessons from a large-scale survey of young adults. Am J Hypertens. 2007;20:1140–1145.
  • Mulyanto J, Kringos DS, Kunst AE. Socioeconomic inequalities in the utilisation of hypertension and type 2 diabetes management services in Indonesia. Trop Med Int Heal. 2019;24:1301–1310.
  • Christiani Y, Byles JE, Tavener M, et al. Assessing socioeconomic inequalities of hypertension among women in Indonesia’s major cities. J Hum Hypertens. 2015;29:683–688.
  • Strauss J, Witoelar F, Sikoki B. User’s guide for the Indonesia family life survey, wave 5. RAND Labor Popul Work Pap Ser. 2016;2:1–63.
  • Strauss J, Sikoki B, Witoelar F. The fifth wave of the Indonesia family life survey (IFLS): overview and field report. RAND Labor Popul Work Pap Ser. 2016;1:1–92.
  • Vyas S, Kumaranayake L. Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan. 2006;21:459–468.
  • World Health Organization. Regional office for the Western Pacific. The Asia Pacific perspective: redefining obesity and its treatment. Sydney: Health Communications Australia Pty Limited; 2000.
  • Snijders TAB, Bosker R. Multilevel analysis: an introduction to basic and advanced multilevel modeling. 2nd Edition). 2nd ed. London: SAGE Publications Inc.; 2012.
  • O’Donnell O, Van DE. Analyzing health equity using household survey data. World Bank. 2008;1:1–220.
  • Wagstaff A. The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality. Health Econ. [Internet]. 2005;14:429–432. :Available from: http://doi.org/onlinelibrary.wiley.com/doi/10.1002/hec.953
  • White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med. 2011;30:377–399.
  • Wilber JA. The problem of undetected and untreated hypertension in the community. Bull N Y Acad Med. 1973;49:510–520.
  • Fateh M, Emamian MH, Asgari F, et al. Socioeconomic inequality in hypertension in Iran. J Hypertens. 2014;32:1782–1788.
  • Wang J, Zhang L, Wang F, et al. Awareness, treatment, and control of hypertension in China: results from a national survey. Am J Hypertens. [Internet]. 2014;27:1355–1361. Available from: https://doi.org/10.1093/ajh/hpu053
  • Tedesco M, Di Salvo G, Caputo S, et al. Educational level and hypertension: how socioeconomic differences condition health care. J Hum Hypertens. 2001;15:727–731.
  • Wang Y, Chen J, Wang K, et al. Education as an important risk factor for the prevalence of hypertension and elevated blood pressure in Chinese men and women. J Hum Hypertens. 2006;20:898–900.
  • Bromfield S, Muntner P. High blood pressure: the leading global burden of disease risk factor and the need for worldwide prevention programs. Curr Hypertens Rep. 2013;15:134–136.
  • Chen R, Tunstall-Pedoe H, Morrison C, et al. Trends and social factors in blood pressure control in Scottish MONICA surveys 1986–1995: the rule of halves revisited. J Hum Hypertens. 2003;17:751–759.
  • Pisani E, Olivier Kok M, Nugroho K. Lessons learned in using realist evaluation to assess maternal and newborn health programming in rural Bangladesh. Health Policy Plan. 2016;31:267–276.
  • Agustina R, Dartanto T, Sitompul R, et al. Universal health coverage in Indonesia: concept, progress, and challenges. Lancet. 2019;393:75–102.
  • Christiani Y, Dugdale P, Tavener M, et al. The dynamic of non-communicable disease control policy in Indonesia. Aust Heal Rev [Internet]. 2017;41:207. Available from http://www.publish.csiro.au/?paper=AH15196
  • Moradi G, Mohammad K, Majdzadeh R, et al. Socioeconomic inequality of non communicable risk factors among people living in Kurdistan Province, Islamic Republic of Iran. Int J Prev Med. 2013;4:671–683.
  • Palafox B, McKee M, Balabanova D, et al. Wealth and cardiovascular health: a cross-sectional study of wealth-related inequalities in the awareness, treatment and control of hypertension in high-, middle- and low-income countries. Int J Equity Health. 2016;15:199.
  • Adler NE, Newman K. Socioeconomic disparities in health: pathways and policies. Health Aff. 2002;21:60–76.
  • Lago S, Cantarero D, Rivera B, et al. Socioeconomic status, health inequalities and non-communicable diseases: a systematic review. J Public Heal. 2018;26:1–14.
  • Akita T, Pirmansah A Urban Inequality in Indonesia. [Internet]. Research Institute, International University of Japan; 2011. Available from: https://ideas.repec.org/p/iuj/wpaper/ems_2011_04.html.
  • Darmon N, Drewnowski A. Does social class predict diet quality? Am J Clin Nutr. 2008;87:1107–1117.
  • Drenjančević-Perić I, Jelaković B, Lombard JH, et al. High-Salt diet and hypertension: focus on the renin-angiotensin system. Kidney Blood Press Res. 2011;34:1–11.
  • De Oliveira GS, Errea M, Bialek J, et al. The impact of health literacy on shared decision making before elective surgery: a propensity matched case control analysis. BMC Health Serv Res. 2018;18:958.
  • Khatib OM, El-Guindy MS, editors. Clinical guidelines for the management of hypertension. Cairo:World Health Organization Regional Office for the Eastern Mediterranean;2005.
  • C-H L, Tang S-T, Lei Y-X, et al. Community-Based interventions in hypertensive patients: a comparison of three health education strategies. BMC Public Health. 2015;15:33.
  • Oliveira TL, de P ML, de S FP, et al. Effectiveness of education in health in the non -medication treatment of arterial hypertension. Acta Paul Enferm. 2013;26:179–184.
  • Leng B, Jin Y, Li G, et al. Socioeconomic status and hypertension: a meta-analysis. J Hypertens. 2015;33:221–229.