Literature DB >> 31004455

Temporal trends and differential patterns in the prevalence of severe anaemia in India: observations from country-wide haemoglobin determinations 2008-2018.

Kaustubh Bora1.   

Abstract

OBJECTIVES: To assess temporal trends in the occurrence of severe anaemia in India over the past decade, encompassing every state and union territory.
METHODS: For the period 2008-09 to 2017-18, annual estimates (%) of severe anaemia (haemoglobin < 7 g/dl) for India were derived from Health Management Information System datasets, along with 95% confidence intervals (CIs) to construct temporal trends. Differential patterns in the distribution of severe anaemia by geography, epidemiological transition level and socio-demographic index values were also investigated.
RESULTS: Severe anaemia occurred in 3.29% (95% CI: 3.28-3.30%) of all haemoglobin determinations in India in 2017-18, which was less than a third of the number in 2008-09. This decline (overall 7.8% or 0.78% per year) over the past decade was consistent (χ2 trend  = 1 557 296, P < 0.001). Distribution of severe anaemia was heterogeneous between states and union territories (in 2017-18), ranged from < 1% (in Kerala and Lakshadweep) to > 8% (in Telangana). Significant variations were observed according to geographical region (highest in Central zone), epidemiological transition level (highest at higher middle epidemiological transition level) and socio-demographic index (highest at middle socio-demographic index). Severe anaemia burden between rural and urban areas also differed significantly.
CONCLUSION: Although the prevalence of severe anaemia has decreased in India over the last decade, it remains substantial and differs widely with respect to geography, epidemiological transition level, and socio-economic conditions. A detailed assessment of the various aetiologies and documentation of their spatial epidemiology is desirable to understand their relative contribution to the severe anaemia burden and to design appropriate interventions.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  anaemia; analyse de séries chronologiques; anémie; haemoglobin; hémoglobine; public health; santé publique; severity; spatial epidemiology; sévérité; time-series analysis; épidémiologie spatiale

Mesh:

Substances:

Year:  2019        PMID: 31004455     DOI: 10.1111/tmi.13240

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


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