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Background: The lack of focus on the health status of shrimp cultivators by previous studies while the production of shrimp has been rising over the years after the introduction of the blue revolution in India. The present study estimated the burden of diseases among shrimp cultivators in India. Methods: Primary data were collected by using simple random sampling. The sample size was 357. The classification of diseases were made by using the international classification of diseases, tenth revision (ICD-10), version 2019. Disability-adjusted life years (DALY) were used to measure the health status of shrimp cultivators. DALY is the summation of the burden of disease from mortality and morbidity. Sensitive and uncertainty analysis was used by changing the value of the parameter and method, respectively. Results: The burden of disease among shrimp cultivators in 2020 ranges from 101.03 DALY based on equal age weightage, without discount rate, and potential life expectancy (DALY0,0,PLE) to 84.02 DALY based on unequal age weightage, discount rate, and standardized life expectancy (DALY1,0.03,SLE). The burden of disease per 100,000 shrimp cultivators was 28,477.74 DALY and 23,600.84 DALY when calculated by using DALY0,0,PLE and DALY1,0.03,SLE method, respectively. The higher burden of diseases from non-communicable diseases was followed by injury and communicable diseases for both methods. The disease burden from mortality was more than two-thirds of the total burden of disease and the rest from morbidity. The burden of disease among shrimp cultivators was sensitive to parameter changes because it changes between 92.10 DALY and 63.03 DALY with the change in the parameter. Uncertainty in the burden of disease among them was due to method variation, which ranges from 120.03 DALY to 74.06 DALY. Conclusion: The higher burden of non-communicable diseases, and the lower burden of communicable, and injuries per 100,000 shrimp cultivators compared to the national level in India.
RESUMEN
Objective: To investigate the trends and patterns of the cancer burden among the elderly in different regions of India at a subnational level. Methods: Data were extracted from the Global Burden of Disease (GBD) Studies India Compare 2019. Prevalence rate, disability-adjusted life years (DALY), and annual percentage change techniques were used to analyze data. Results: The three age groups with the highest prevalence of cancer were those aged 60-64 years, 65-69 years, and 70-74 years. In 2019, The prevalence of cancer among the elderly ranged from 7048.815 in Karnataka to 5743.040 in Jharkhand. Kerala has the most significant annual percentage change in the cancer prevalence rate of 0.291 between 1990 and 2019. The highest DALY rate was observed among individuals aged 80-84 years in 2019. That year, the DALY rate among the elderly was 8112.283 in India. The top five cancers with higher DALY rates among the elderly in India in 2019 were tracheal, bronchus, and lung cancer (908.473), colon and rectum cancer (752.961), stomach cancer (707.464), breast cancer (597.881), and lip and oral cavity cancer (557.637). Conclusion: Elderly individuals demonstrated a higher vulnerable to cancer compared to other age groups. There is a need for state-specific government intervention to minimize the risk of cancer among the elderly due to the heterogeneity in the burden of cancer across Indian states.
RESUMEN
Background: Earlier studies have focused on the age-group-wise health burden of COVID-19 while few studies have focused on the gender-wise analysis of the burden of COVID-19. The present study estimated the health burden and value of premature mortality from COVID-19 based on gender and age. Methods: This study was based on secondary data collected from several sources of the government of India. To quantify the health burden, the disability-adjusted life years (DALY) method was used. An abridged life table was used to estimate the fall in life expectancy due to COVID-19. The value of premature mortality was estimated by using the human capital approach. Results: Among COVID-19 cases, 65.08% were males and 34.92% were females. The overall health burden caused by COVID-19 was 19,24,107 DALY in 2020, 43,40,526 DALY in 2021, and 8,08,124 DALY in 2022. The health burden per 1000 males was more than double that per 1000 females. This was due to higher rates of infection and case fatality rate among males compared to females. The age group 60-64 years experienced the highest loss of healthy life years per 1000 people, while the age group 55-59 years had the highest overall loss. Due to additional deaths from COVID-19, life expectancy decreased by 0.24 years in 2020, 0.47 years in 2021, and 0.07 years in 2022. The total value of premature death in the first three years of the COVID-19 pandemic amounted to 15,849.99 crores INR. Conclusion: In India, males and the older population were more susceptible to the impact of COVID-19.
