Objective: Self Rated Health (SRH) has widely been used as an indicator
of overall health in a population. Given the rising burden of chronic
conditions even in the rural region of India, this study explores
the gender differentials in the impact of multi-morbidity on SRH in the
Sundarbans of West Bengal.
Methods: A cross sectional study was done in the 19 blocks of the
Sundarbans in West Bengal, India. A gender segregated analysis was done
to understand the effect of multi-morbidity on SRH while controlling for
sociodemographic and lifestyle behaviors. Partial Proportional Odds
Regression was used.
Results: The odds of a poor rating on SRH was 2.61 (C.I 1.44-4.72) for
multi-morbid cases as compared to those who had no disease and the odds
increased with age among men. The odds ratio of poor rating among
families with income deficits, compared to those without any deficits
was 3.04(C.I 1.57-5.89). Age had no association with SRH rating, but, it
showed a positive association with multi-morbidity and education among
women. Poor rating on SRH was negatively associated with employment
status and marital status.
Conclusion: SRH is a widely used indicator for mortality. With
increasing burden of chronic conditions, specifically multi-morbidities,
there is a need for responsive, gender sensitive strategies for
healthcare in an ageing, rural population.
This research is supported by the Department for International Development’s Future Health Systems programme which is led by Johns Hopkins University
Vadrevu, L.; Kumar, V.; Kanjilal, B. Gender Differentials in the Impact of Multi-Morbidity on Self Rated Health in Rural West Bengal in India. IOSR Journal of Nursing and Health Science (2015) : [DOI: 10.9790/1959-04231621]