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Health and Quality of Life Outcomes

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Open Access 01-12-2021 | Hypertension | Research

The influencing factors of health-related quality of life among rural hypertensive individuals: a cross-sectional study

Authors: Shengxiang Sang, Ning Kang, Wei Liao, Xueyan Wu, Ze Hu, Xiaotian Liu, Chongjian Wang, Hongjian Zhang

Published in: Health and Quality of Life Outcomes | Issue 1/2021

Abstract

Background

Previous reports regarding health-related quality of life (HRQoL) of hypertensive individuals commonly concentrated on urban population. This study focused on rural population and aimed to explore the influencing factors of HRQoL.

Methods

Date were derived from Henan Rural Cohort study. The HRQoL of participants were assessed via European Quality of Life Five Dimension Five Level Scale (EQ-5D-5L) instrument. Tobit regression model and generalized linear model were employed to explore the influencing factors of HRQoL. Another binary logistic regression was utilized to examine the robustness of our results.

Results

Among 23,485 rural population, 8128 participants were identified with hypertension. The mean (SD) utility index and VAS score of non-hypertension group were 0.96 (0.09) and 79.66 (14.20), respectively, while in hypertension group were 0.94 (0.14) and 75.88 (15.50), respectively. Pain/discomfort was the most common self-reported problem (23.05%) for patients. Aging and suffering with other diseases were negatively associated with HRQoL among rural patients, while high socioeconomic status and healthy lifestyles corresponded with high HRQoL.

Conclusions

Hypertension did push considerable pressures on patients’ HRQoL. Maintaining healthy lifestyles and improving the socioeconomic status of patients were advisable ways to reduce this burden.

Trial registration The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). http://www.chictr.org.cn/showproj.aspx?proj=11375

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Otani K, Haruyama R, Gilmour S. Prevalence and correlates of hypertension among Japanese Adults, 1975 to 2010. Int J Environ Res Public Health. 2018;15(8):1645. https://doi.org/10.3390/ijerph15081645.CrossRefPubMedCentral

Unger T, Borghi C, Charchar F, et al. 2020 International Society of Hypertension global hypertension practice guidelines. J Hypertens. 2020;38(6):982–1004. https://doi.org/10.1097/HJH.0000000000002453.CrossRefPubMed

Huang J, He T, Li G, Guo X. How birth season affects vulnerability to the effect of ambient ozone exposure on the disease burden of hypertension in the elderly population in a coastal city in South China. Int J Environ Res Public Health. 2020;17(3):824. https://doi.org/10.3390/ijerph17030824.CrossRefPubMedCentral

Konlan KD, Afam-Adjei CJ, Afam-Adjei C, et al. Practice and sociodemographic factors influencing self-monitoring of blood pressure in Ghanaians with hypertension. Int J Chronic Dis. 2020. https://doi.org/10.1155/2020/6016581.CrossRefPubMedPubMedCentral

Yang G, Wang Y, Zeng Y, et al. Rapid health transition in China, 1990–2010: findings from the global burden of disease study 2010. Lancet. 2013;381(9882):1987–2015. https://doi.org/10.1016/S0140-6736(13)61097-1.CrossRefPubMedPubMedCentral

Andrade JM, Rios LR, Teixeira LS, et al. Influência de fatores socioeconômicos na qualidade de vida de idosos hipertensos [Influence of socioeconomic factors on the quality of life of elderly hypertensive individuals]. Cien Saude Colet. 2014;19(8):3497–504. https://doi.org/10.1590/1413-81232014198.19952013.CrossRefPubMed

Karimi M, Brazier J. Health, health-related quality of life, and quality of life: what is the difference? Pharmacoeconomics. 2016;34(7):645–9. https://doi.org/10.1007/s40273-016-0389-9.CrossRefPubMed

Hunger M, Holle R, Meisinger C, Rathmann W, Peters A, Schunk M. Longitudinal changes in health-related quality of life in normal glucose tolerance, prediabetes and type 2 diabetes: results from the KORA S4/F4 cohort study. Qual Life Res. 2014;23(9):2515–20. https://doi.org/10.1007/s11136-014-0689-5.CrossRefPubMed

Nöhre M, Albayrak Ö, Brederecke J, et al. Psychometric properties of the german version of the pulmonary-specific quality-of-life scale in lung transplant patients. Front Psychiatry. 2019;10:374. https://doi.org/10.3389/fpsyt.2019.00374.CrossRefPubMedPubMedCentral

10.

Rabin R, de Charro F. EQ-5D: a measure of health status from the EuroQol Group. Ann Med. 2001;33(5):337–43. https://doi.org/10.3109/07853890109002087.CrossRefPubMed

11.

Cunillera O, Tresserras R, Rajmil L, et al. Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey. Qual Life Res. 2010;19(6):853–64. https://doi.org/10.1007/s11136-010-9639-z.CrossRefPubMed

12.

Janssen MF, Bonsel GJ, Luo N. Is EQ-5D-5L better than EQ-5D-3L? A head-to-head comparison of descriptive systems and value sets from seven countries. Pharmacoeconomics. 2018;36(6):675–97. https://doi.org/10.1007/s40273-018-0623-8.CrossRefPubMedPubMedCentral

13.

Riley E, Chang J, Park C, Kim S, Song I. Hypertension and health-related quality of life (HRQoL): evidence from the US Hispanic population. Clin Drug Investig. 2019;39(9):899–908. https://doi.org/10.1007/s40261-019-00814-4.CrossRefPubMed

14.

Arija V, Villalobos F, Pedret R, et al. Physical activity, cardiovascular health, quality of life and blood pressure control in hypertensive subjects: randomized clinical trial. Health Qual Life Outcomes. 2018;16(1):184. https://doi.org/10.1186/s12955-018-1008-6.CrossRefPubMedPubMedCentral

15.

Li J, Yu J, Chen X, Quan X, Zhou L. Correlations between health-promoting lifestyle and health-related quality of life among elderly people with hypertension in Hengyang, Hunan, China. Medicine (Baltimore). 2018;97(25):e10937. https://doi.org/10.1097/MD.0000000000010937.CrossRef

16.

Wong ELY, Xu RH, Cheung AWL. Health-related quality of life among patients with hypertension: population-based survey using EQ-5D-5L in Hong Kong SAR, China. BMJ Open. 2019;9(9):e032544. https://doi.org/10.1136/bmjopen-2019-032544.CrossRefPubMedPubMedCentral

17.

Liang Z, Zhang T, Lin T, et al. Health-related quality of life among rural men and women with hypertension: assessment by the EQ-5D-5L in Jiangsu. China Qual Life Res. 2019;28(8):2069–80. https://doi.org/10.1007/s11136-019-02139-3.CrossRefPubMed

18.

Wang Z, Chen Z, Zhang L, et al. Status of hypertension in China: results from the China hypertension survey, 2012–2015. Circulation. 2018;137(22):2344–56. https://doi.org/10.1161/CIRCULATIONAHA.117.032380.CrossRefPubMed

19.

Liu X, Mao Z, Li Y, et al. Cohort profile: the Henan Rural Cohort: a prospective study of chronic non-communicable diseases. Int J Epidemiol. 2019;48(6):1756–1756j. https://doi.org/10.1093/ije/dyz039.CrossRefPubMed

20.

Dong X, Li Y, Zhang L, et al. Independent and interactive effect of sitting time and physical activity on prevalence of hyperuricemia: the Henan Rural Cohort Study. Arthritis Res Ther. 2021;23(1):7. https://doi.org/10.1186/s13075-020-02385-8.CrossRefPubMedPubMedCentral

21.

Jiang J, Li Y, Mao Z, et al. Abnormal night sleep duration and poor sleep quality are independently and combinedly associated with elevated depressive symptoms in Chinese rural adults: Henan Rural Cohort. Sleep Med. 2020;70:71–8. https://doi.org/10.1016/j.sleep.2019.10.022.CrossRefPubMed

22.

Zhang H, Li Y, Zhao X, et al. The association between PSQI score and hypertension in a Chinese rural population: the Henan Rural Cohort Study. Sleep Med. 2019;58:27–34. https://doi.org/10.1016/j.sleep.2019.03.001.CrossRefPubMed

23.

Feng Y, Devlin N, Bateman A, Zamora B, Parkin D. Distribution of the EQ-5D-5L profiles and values in three patient groups. Value Health. 2019;22(3):355–61. https://doi.org/10.1016/j.jval.2018.08.012.CrossRefPubMed

24.

Luo N, Liu G, Li M, Guan H, Jin X, Rand-Hendriksen K. Estimating an EQ-5D-5L value set for China. Value Health. 2017;20(4):662–9. https://doi.org/10.1016/j.jval.2016.11.016.CrossRefPubMed

25.

Kang N, Liu X, Liao W, et al. Health-related quality of life among rural adults with type 2 diabetes mellitus: a cross-sectional study. Eur J Public Health. 2021. https://doi.org/10.1093/eurpub/ckaa247.CrossRefPubMed

26.

Versteegh MM, Vermeulen KM, Evers SMAA, de Wit GA, Prenger R, Stolk EA. Dutch tariff for the five-level version of EQ-5D. Value Health. 2016;19(4):343–52. https://doi.org/10.1016/j.jval.2016.01.003.CrossRef

27.

Cumming G. Cohen’s d needs to be readily interpretable: comment on Shieh (2013). Behav Res Methods. 2013;45(4):968–71. https://doi.org/10.3758/s13428-013-0392-4.CrossRefPubMed

28.

Lu J, Zhang C, Xue Y, et al. Moderating effect of social support on depression and health promoting lifestyle for Chinese empty nesters: a cross-sectional study. J Affect Disord. 2019;256:495–508. https://doi.org/10.1016/j.jad.2019.04.003.CrossRefPubMed

29.

Souza AC, Borges JW, Moreira TM. Quality of life and treatment adherence in hypertensive patients: systematic review with meta-analysis. Rev Saude Publica. 2016;50:71. https://doi.org/10.1590/S1518-8787.2016050006415.CrossRefPubMedPubMedCentral

30.

Pan CW, Cong XL, Zhou HJ, et al. Evaluating health-related quality of life impact of chronic conditions among older adults from a rural town in Suzhou. China Arch Gerontol Geriatr. 2018;76:6–11. https://doi.org/10.1016/j.archger.2018.01.008.CrossRefPubMed

31.

Zhang Y, Zhou Z, Gao J, et al. Health-related quality of life and its influencing factors for patients with hypertension: evidence from the urban and rural areas of Shaanxi Province, China. BMC Health Serv Res. 2016;16:277. https://doi.org/10.1186/s12913-016-1536-x.CrossRefPubMedPubMedCentral

32.

Han G, Yan S. Does food safety risk perception affect the public’s trust in their government? An empirical study on a national survey in China. Int J Environ Res Public Health. 2019;16(11):1874. https://doi.org/10.3390/ijerph16111874.CrossRefPubMedCentral

33.

Zeng Y, Luo J, Ou L, et al. The impact of medical insurance on medical expenses for older Chinese: evidence from the national baseline survey of CLHLS. Medicine (Baltimore). 2019;98(39):e17302. https://doi.org/10.1097/MD.0000000000017302.CrossRef

34.

Tomás CC, Oliveira E, Sousa D, et al. Proceedings of the 3rd IPLeiria’s International Health Congress: Leiria, Portugal 6–7 May 2016. BMC Health Serv Res. 2016;16(Suppl 3):200. https://doi.org/10.1186/s12913-016-1423-5.CrossRefPubMedCentral

35.

Zhou T, Guan H, Yao J, Xiong X, Ma A. The quality of life in Chinese population with chronic non-communicable diseases according to EQ-5D-3L: a systematic review. Qual Life Res. 2018;27(11):2799–814. https://doi.org/10.1007/s11136-018-1928-y.CrossRefPubMedPubMedCentral

36.

Yu ES, Hong K, Chun BC. A longitudinal analysis of the progression from normal blood pressure to stage 2 hypertension: a 12-year Korean cohort. BMC Public Health. 2021;21(1):61. https://doi.org/10.1186/s12889-020-10115-7.CrossRefPubMedPubMedCentral

37.

Li J, Chattopadhyay K, Xu M, et al. Prevalence and associated factors of vascular complications among inpatients with type 2 diabetes: a retrospective database study at a tertiary care department, Ningbo, China. PLoS ONE. 2020;15(6):e0235161. https://doi.org/10.1371/journal.pone.0235161.CrossRefPubMedPubMedCentral

38.

Islam JY, Zaman MM, Ahmed JU, Choudhury SR, Khan H, Zissan T. Sex differences in prevalence and determinants of hypertension among adults: a cross-sectional survey of one rural village in Bangladesh. BMJ Open. 2020;10(9):e037546. https://doi.org/10.1136/bmjopen-2020-037546.CrossRefPubMedPubMedCentral

39.

Xu X, Mishra GD, Dobson AJ, Jones M. Progression of diabetes, heart disease, and stroke multimorbidity in middle-aged women: A 20-year cohort study. PLoS Med. 2018;15(3):e1002516. https://doi.org/10.1371/journal.pmed.1002516.CrossRefPubMedPubMedCentral

40.

Tusa BS, Geremew BM, Tefera MA. Heath related quality of life and associated factors among adults with and without diabetes in Adama city East Shewa, Ethiopia 2019; using generalized structural equation modeling. Health Qual Life Outcomes. 2020;18(1):83. https://doi.org/10.1186/s12955-020-01337-9.CrossRefPubMedPubMedCentral

41.

Choi MJ, Park YG, Kim YH, Cho KH, Nam GE. Association between type of exercise and health-related quality of life in adults without activity limitations: a nationwide cross-sectional study. BMC Public Health. 2020;20(1):599. https://doi.org/10.1186/s12889-020-08699-1.CrossRefPubMedPubMedCentral

42.

Foster H, Polz P, Mair F, Gill J, O’Donnell CA. Understanding the influence of socioeconomic status on the association between combinations of lifestyle factors and adverse health outcomes: a systematic review protocol. BMJ Open. 2021;11(5):e042212. https://doi.org/10.1136/bmjopen-2020-042212.CrossRefPubMedPubMedCentral

43.

Lokhov PG, Balashova EE, Trifonova OP, Maslov DL, Ponomarenko EA, Archakov AI. Mass spectrometry-based metabolomics analysis of obese patients’ blood plasma. Int J Mol Sci. 2020;21(2):568. https://doi.org/10.3390/ijms21020568.CrossRefPubMedCentral

44.

Liao W, Luo Z, Hou Y, et al. Age and gender specific association between obesity and depressive symptoms: a large-scale cross-sectional study. BMC Public Health. 2020;20(1):1565. https://doi.org/10.1186/s12889-020-09664-8.CrossRefPubMedPubMedCentral

45.

Ramos AR, Weng J, Wallace DM, et al. Sleep patterns and hypertension using actigraphy in the Hispanic Community Health Study/Study of Latinos. Chest. 2018;153(1):87–93. https://doi.org/10.1016/j.chest.2017.09.028.CrossRefPubMed

Title: The influencing factors of health-related quality of life among rural hypertensive individuals: a cross-sectional study
Authors: Shengxiang Sang
Ning Kang
Wei Liao
Xueyan Wu
Ze Hu
Xiaotian Liu
Chongjian Wang
Hongjian Zhang
Publication date: 01-12-2021
Publisher: BioMed Central
Keywords: Hypertension
Hypertension
Published in: Health and Quality of Life Outcomes / Issue 1/2021
Electronic ISSN: 1477-7525
DOI: https://doi.org/10.1186/s12955-021-01879-6

At a glance: The STEP trials

Springer Medicine

The influencing factors of health-related quality of life among rural hypertensive individuals: a cross-sectional study

Abstract

Background

Methods

Results

Conclusions

At a glance: The STEP trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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