CHANGING AGE PATTERNS OF MORBIDITY VIS-À-VIS MORTALITY IN INDIA

2013 ◽  
Vol 46 (4) ◽  
pp. 462-479 ◽  
Author(s):  
PERIANAYAGAM AROKIASAMY ◽  
SURYAKANT YADAV

SummaryThe combined effects of decreased fertility and mortality coupled with increasing survivorship across most ages have been upsetting the levels and age patterns of morbidity and mortality in India. This study examined data from the National Sample Survey (NSS) and Sample Registration System (SRS) of India. The results reveal marked structural changes in the age patterns of morbidity and mortality. The analysis also tested whether morbidity contours are being compressed or expanded, connecting it with the ongoing processes of demographic and epidemiological transition. The Sullivan (1971) method was used to estimate the health ratio over three time periods to ascertain the expansion of morbidity. The results reveal an exceptional rise in the prevalence rate of chronic non-communicable diseases in ages 60 and above. The proportion of unhealthy years of the total life expectancy has increased more than before for all older age groups. Overall, the results confirm that an expansion of morbidity is in progress, with a heavier and cumulated concentration of morbidity in older ages. The expansion of morbidity hypothesis is validated for major categories of population: rural, urban, male and female. Older females bear a much heavier burden of chronic non-communicable diseases and are vulnerable to a higher proportion of unhealthy years. The age-structural shifts in morbidity and mortality signal the steady progress of epidemiological transition in India.

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A Bano ◽  
L Chaker ◽  
F U S Mattace-Raso ◽  
R P Peeters ◽  
O H Franco

Abstract Background Variations in thyroid function within the reference ranges are associated with an increased risk of diseases and death. However, the impact of thyroid function on life expectancy (LE) and the number of years lived with and without non-communicable diseases (NCD) remains unknown. Purpose We aimed to investigate the association of thyroid function with total LE and LE with and without NCD among euthyroid subjects. Methods Participants of the Rotterdam Study without known thyroid disease and with thyroid-stimulating hormone (TSH) and free thyroxine (FT4) levels within the reference ranges were eligible. NCD were defined as the presence of cardiovascular disease, diabetes mellitus type 2, or cancer. We used multistate life tables to calculate the total LE and LE with and without NCD among TSH and FT4 tertiles, in men and women. LE estimates were obtained using prevalence, incidence rates and hazard ratios for three transitions (healthy to NCD, healthy to death and NCD to death). Analyses were adjusted for sociodemographic and cardiovascular risk factors. Results The mean (standard deviation) age of 7644 participants was 64.5 (9.7) years and 52.2% were women. Over a median follow-up of 8 years, we observed 1396 incident NCD events and 1422 deaths. Compared with those in the lowest tertile, men and women in the highest TSH tertile lived 1.5 (95% confidence interval [CI], 0.8; 2.3) and 1.5 (95% CI, 0.8; 2.2) years longer, respectively; of which 1.4 (95% CI, 0.5; 2.3) and 1.3 (95% CI, 0.3; 2.1) years with NCD. Compared with those in the lowest tertile, the difference in LE for men and women in the highest FT4 tertile was −3.7 (95% CI, −5.1 to −2.2) and −3.3 (95% CI, −4.7; −1.9), respectively; of which −1.8 (95% CI, −3.1 to −0.7) and −2.0 (95% CI, −3.4 to −0.7) years without NCD. Life expectancy in TSH and FT4 tertiles Conclusions There are meaningful differences in total LE, LE with and without NCD within the reference ranges of thyroid function. People with low-normal thyroid function live more years with and without NCD than those with high-normal thyroid function. These findings support a reevaluation of the current reference ranges of thyroid function.


Author(s):  
Laura A Skrip ◽  
Prashanth Selvaraj ◽  
Brittany Hagedorn ◽  
Andre Lin Ouédraogo ◽  
Navideh Noori ◽  
...  

AbstractBackgroundThe first case of COVID-19 in sub-Saharan Africa (SSA) was reported by Nigeria on February 27, 2020. While case counts in the entire region remain considerably less than those being reported by individual countries in Europe, Asia, and the Americas, SSA countries remain vulnerable to COVID morbidity and mortality due to systemic healthcare weaknesses, less financial resources and infrastructure to address the new crisis, and untreated comorbidities. Variation in preparedness and response capacity as well as in data availability has raised concerns about undetected transmission events.MethodsConfirmed cases reported by SSA countries were line-listed to capture epidemiological details related to early transmission events into and within countries. Data were retrieved from publicly available sources, including institutional websites, situation reports, press releases, and social media accounts, with supplementary details obtained from news articles. A data availability score was calculated for each imported case in terms of how many indicators (sex, age, travel history, date of arrival in country, reporting date of confirmation, and how detected) could be identified. We assessed the relationship between time to first importation and overall Global Health Security Index (GHSI) using Cox regression. K-means clustering grouped countries according to healthcare capacity and health and demographic risk factors.ResultsA total of 13,201 confirmed cases of COVID-19 were reported by 48 countries in SSA during the 54 days following the first known introduction to the region. Out of the 2516 cases for which travel history information was publicly available, 1129 (44.9%) were considered importation events. At the regional level, imported cases tended to be male (65.0%), were a median 41.0 years old (Range: 6 weeks - 88 years), and most frequently had recent travel history from Europe (53.1%). The median time to reporting an introduction was 19 days; a country’s time to report its first importation was not related to GHSI, after controlling for air traffic. Countries that had, on average, the highest case fatality rates, lowest healthcare capacity, and highest probability of premature death due to non-communicable diseases were among the last to report any cases.ConclusionsCountries with systemic, demographic, and pre-existing health vulnerabilities to severe COVID-related morbidity and mortality are less likely to report any cases or may be reporting with limited public availability of information. Reporting on COVID detection and response efforts, as well as on trends in non-COVID illness and care-seeking behavior, is critical to assessing direct and indirect consequences and capacity needs in resource-constrained settings. Such assessments aid in the ability to make data-driven decisions about interventions, country priorities, and risk assessment.Key MessagesWe line-listed epidemiological indicators for the initial cases reported by 48 countries in sub-Saharan Africa by reviewing and synthesizing information provided by official institutional outlets and news sources.Our findings suggest that countries with the largest proportions of untreated comorbidities, as measured by probability of premature death due to non-communicable diseases, and the fewest healthcare resources tended to not be reporting any cases at one-month post-introduction into the region.Using data availability as a measure of gaps in detection and reporting and relating them to COVID-specific parameters for morbidity and mortality provides a measure of vulnerability.Accurate and available information on initial cases in seeding local outbreaks is key to projecting case counts and assessing the potential impact of intervention approaches, such that support for local data teams will be important as countries make decisions about control strategies.


2021 ◽  
pp. 001946622199884
Author(s):  
Arvind Kumar Yadav ◽  
Kirtti Ranjan Paltasingh ◽  
Pabitra Kumar Jena

The recent trends and distributional patterns of communicable diseases (CD) and non-communicable diseases (NCD) in India are analysed in this study. Utilising the unit-level health-specific data from three rounds (1995, 2004 and 2014) of the National Sample Survey Office, it is found that the incidence of CDs is declining while that of NCDs increasing over time. The state-wise pattern shows that both the least-developed states and relatively developed states have a high incidence of diseases. But the incidence of CDs is relatively high in backward states like Rajasthan, Odisha, Assam, Bihar and UP, whereas the prevalence of NCDs is high in advanced states like Kerala, Maharashtra, Tamil Nadu and others. The multinomial logistic regression results also confirm that income, sex and availability of safe drinking water are key determinants of the presence of diseases. Thus, the policy implication of the study calls for the availability and accessibility of adequate medical facilities at affordable costs, development of a strong network of public health facilities in rural India primarily. Bringing the rural as well as urban poor into the fold of health insurance schemes would ensure a huge benefit to the masses who struggle to get the basic treatment. The development of an effective ‘health information system’ can be a better policy instrument in arresting the rising incidence of NCDs. JEL Classification codes: C12, C51, I15, I18


2020 ◽  
Vol 19 (1) ◽  
pp. 48-55
Author(s):  
A. V. Kontsevaya ◽  
D. K. Mukaneeva ◽  
A. O. Myrzamatova ◽  
Yu. A. Balanova ◽  
M. B. Khudyakov ◽  
...  

2015 ◽  
Vol 48 (4) ◽  
pp. 472-485 ◽  
Author(s):  
Ajit Kumar Yadav ◽  
Jitendra Gouda ◽  
F. Ram

SummaryUttar Pradesh is India’s most populous state with a population of 200 million. Any change in its fertility and mortality is bound to bring change at the national level. This study analysed the burden of disease in the state by calculating the disability-adjusted life year (DALY) for infectious and non-communicable diseases. Data were from two rounds (52ndand 60th) of the National Sample Survey Organization (NSSO) survey conducted in 1995–96 and 2004, respectively, and the Million Deaths Study (MDS) of 2001–03. Descriptive and multivariate analyses were carried out to identify the determinants of different types of self-reported morbidity and DALY. The results show that in Uttar Pradesh the prevalence of all selected self-reported infectious and non-communicable diseases increased over the study period from 1995 to 2004, and in most cases by more than two times. The highest observed increase in prevalence was in non-communicable diseases excluding CVDs, which increased from 7% in 1995 to 19% in 2004. The prevalence was higher for those aged 60 and above, females, those who were illiterate and rich across the time period and for all selected morbidities. The results were significant atp<0.001. The estimation of the DALY revealed that the burden of infectious diseases was higher during infancy, noticeably among males than females in 2002. However, females aged 1–5 years were more likely to report infectious diseases than corresponding males. The age distribution of the DALY indicated that individuals aged below 5 years and above 60 years were more susceptible to ill health. The growing incidence of non-communicable diseases, especially among the older generation, puts an additional burden on the health system in the state. Uttar Pradesh has to grapple with the unresolved problem of preventable infectious diseases on the one hand and the growth in non-communicable disease on the other.


2021 ◽  
Vol 9 (3) ◽  
pp. 204-212
Author(s):  
Abiodun Bamidele Adelowo

Since after World War II, the world has been grappling with the grumbling rising prevalence and economic burden of non-communicable diseases (NCDs). The rise of these chronic diseases has reached an epidemic proportion and a melting point in many communities of the world. This has been made worse by the recent COVID-19 pandemic. While the world is still battling this debilitating reality, a more gruesome scenario is evolving in low-income and Middle-Income Countries (LMICs). Although these countries account for the highest poverty index in the world, they also account for a disproportionately higher burden of NCDs. More than 80% of NCD-related deaths are presently recorded among the LMICs. Ironically, although most sub-Saharan Africa (SSA) countries can be categorized as LMICs, yet communicable diseases (CDs) still constitute the highest disease burden in this region. However, based on global projections, SSA may soon lose this ‘advantage’ and may become the region with the highest burden of NCDs by the year 2030. If the present trajectory is left unshattered, the resulting heavy double burden of CDs and NCDs will likely crumble the already fragile economy of most SSA countries and tilt the region into an unprecedented recession. A critical review of the present disease-centered healthcare management approach and adoption of a more evidence-based health promotion-centered management approach may be vital in salvaging the situation. This article briefly reviewed the global epidemiologic transition, compared the disease- and health promotion-centered healthcare models, and made a case for a change in health management strategy in SSA. Keywords: Disease-centered approach, Epidemiological transition, Health promotion-centered approach, lifestyle modification, Non-communicable Diseases Risk factors, sub-Saharan Africa.


Author(s):  
Muhammad Luqman Farrukh Nagi ◽  
Syed Tehseen Haider Kazmi

Pakistan is not only undergoing a demographic progression but it is also tormenting from epidemiological transition. Demographic transition is evident because birth rates are increasing (28.6 per thousand population in 2017) while death rates (7 per thousand population in 2017) are decreasing consequential to a population explosion1. In Pakistan and many other developing countries epidemiological evolution has led to a twofold encumber of disease2.


2019 ◽  
Vol 4 (2) ◽  
pp. 23
Author(s):  
Yasuhiko Saito ◽  
Rahul Malhotra

This study estimates changes in life expectancy with and without mobility limitation to test whether older persons in India experienced compression or expansion of morbidity from the period 1995–1996 to 2004. Age-specific death rates and the prevalence of mobility limitation were obtained from the Sample Registration System and two rounds (1995–1996/2004) of the National Sample Survey. Sullivan’s method was employed to compute life expectancy with and without mobility limitation by gender and by place of residence. From 1995–1996 to 2004, at ages 60, 70, and 80, older men and older rural persons in India experienced a significant increase in life expectancy without mobility limitation and a significant reduction in the proportion of remaining life with mobility limitation, suggesting a compression of morbidity. However, over this same period, older women and older urban persons seem to have experienced an expansion of morbidity with an increase in life expectancy with mobility limitation and an increase in the proportion of remaining life with mobility limitation. These results call for the promotion and maintenance of physical mobility among all older persons in India, with special attention to older women and older urban persons.


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