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. 2021 Dec 6;21(1):2218.
doi: 10.1186/s12889-021-12238-x.

Influence of contextual socioeconomic position on hypertension risk in low- and middle-income countries: disentangling context from composition

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Influence of contextual socioeconomic position on hypertension risk in low- and middle-income countries: disentangling context from composition

Mustapha S Abba et al. BMC Public Health. .

Abstract

Background: Hypertension has emerged as the single most significant modifiable risk factor for cardiovascular disease and death worldwide. Resource-limited settings are currently experiencing the epidemiological transition from infectious diseases to chronic non-communicable diseases, primarily due to modifications in diet and lifestyle behaviour. The objective of this study was to examine the influence of individual-, community- and country-level factors associated with hypertension in low- and middle-income countries (LMICs).

Methods: Multivariable multi-level logistic regression analysis was applied using 12 Demographic and Health Survey (DHS) datasets collected between 2011 and 2018 in LMICs. We included 888,925 respondents (Level 1) nested within 33,883 neighbourhoods (Level 2) from 12 LMICs (Level 3).

Results: The prevalence of hypertension ranged from 10.3% in the Kyrgyz Republic to 52.2% in Haiti. After adjusting for the individual-, neighbourhood- and country-level factors, we found respondents living in the least deprived areas were 14% more likely to have hypertension than those from the most deprived areas (OR = 1.14, 95% CI 1.10 to 1.17). We observed a significant variation in the odds of hypertension across the countries and the neighbourhoods. Approximately 26.3 and 47.6% of the variance in the odds of hypertension could be attributed to country- and neighbourhood-level factors, respectively. We also observed that respondents moving to a different neighbourhood or country with a higher risk of hypertension had an increased chance of developing hypertension, the median increase in their odds of hypertension was 2.83-fold (95% CI 2.62 to 3.07) and 4.04- fold (95% CI 3.98 to 4.08), respectively.

Conclusions: This study revealed that individual compositional and contextual measures of socioeconomic status were independently associated with the risk of developing hypertension. Therefore, prevention strategies should be implemented at the individual level and the socioeconomic and contextual levels to reduce the burden of hypertension.

Keywords: Blood pressure; Demographic health survey (DHS); Hypertension; Low- and middle-income countries (LMICs); Multi-level analysis; Socioeconomic status.

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Conflict of interest statement

We have no competing interests to declare.

Figures

Fig. 1
Fig. 1
Multi-level data structure

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