Page 73 - ISMCON souvenir 2021

ISMSCON - 2021

the National Family Health Survey-4 (NFHS-4) of India.

Results: In short (-2SD) children, the BMI cut-offs with weight-for-height criteria were lower in comparison
to BMI-for-age till 7-8 months of age, but higher at later ages. In NFHS-4 dataset (short population),
overnutrition (>1SD) prevalence with weight-for-height was higher from 0-0.5 years (the recommended
age for exclusive breastfeeding), but lower at subsequent ages. The absolute difference (weight-for-
height - BMI-for-age) in 0.5-5 years was -2.26% (6.57% vs 8.83%); this attenuated in the 0-5 years age
group -1.55% (7.23% vs 8.78%). The discrepancy was more in boys, and maximal for stunted children,
decreasing with increasing stature. In simulated datasets from intermediate and tall populations, the
reverse pattern was observed, except for the intermediate and USA simulated datasets. Similar results
were observed for overweight and above classification (>2SD).
Conclusion: The two definitions produce cut-offs, and hence estimates of overnutrition, that differ with
the age, sex, and height of under-five children. The relative invariance, with age and stature, of the BMI-
for-age overnutrition definition favours its use as the preferred index.

Keywords: Body-mass-index-for-age, Height-for-age, Overweight, Under five children, Weight-for-height

OS40: THE STUDY ON SELF REPORTED MULTIMORBIDITY
AMONG INDIVIDUALS 40 YEARS OR MORE IN KALLUR

VILLAGE, TIRUNELVELI – MULTILEVEL ANALYSIS

Nandhini P , Vasna Joshua , Sunitha Kandasami , Muthu G Shantaraman K ,
3
1
3
4,
2
Manoj V Murhekar , Yuvaraj J 2.
2
1Research Scholar, Madras University
2Scientist, ICMR- National Institute of Epidemiology, Chennai 77.
3Department of Community Medicine, Tirunelveli Medical College, Tirunelveli,Tamil Nadu
4 ICMR-NIE, Model Rural Health Research Unit, Kallur, Tirunelveli,Tamil Nadu
Affiliation:
R-127, Second Main Road, Tamil Nadu Housing Board, Ayapakkam, Chennai 600 077.
Email id: nandhinibiostats@gmail.com

Keywords: Multimorbidity, MRHRU Data, Multilevel analysis
Globally, people with long-term conditions often have multiple conditions rather than a single condition.
However, people with long-term diabetes, hypertension, mental health conditions, and sexually transmitted
diseases are also growing rapidly.

Multimorbidity (NCD) kills approximately 41 million people worldwide each year; 14 million people die
between 30-70 years of age.

In 2008, nearly 1 in 4 Indians risk dying from an NCD or multimorbidity before the age of 70. A rising trend
in the burden of NCDs is expected in the years ahead.

A demographic health database of 11006 households of 36144 individuals was constructed for the
study area under Primary Health Centre, Model Rural Health Research Unit Nadu Kallur, Tirunelveli. An
analysis of the self-reported morbidity profile of the population was undertaken. The survey was done
from January 2016 to August 2019 after getting informed consent from the individuals.
The aim is to determine the factors associated with multimorbidity using socio-economic and demographic
variables.
The analysis included descriptive and multilevel analysis. Nearly 44% (n=15,829) of the population were
>40 years of age. Nearly 65% of the population did not report any morbidity, 25% single morbidity, and
only 10% reported multiple morbidities, about 8644 of the respondents were women, 24% were illiterates,

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