European Journal of Molecular & Clinical Medicine

An important factor in determining whether a specific low birth weight neonate
is preterm or has growth retardation is the estimated gestational age. So, this study was an
attempt to determine the correlation between anthropometric parameters of newborns with a
period of gestational age.
Material and Methods: A hospital based cross sectional study was done among 200
consecutive live births delivered at tertiary care centre. The anthropometric parameters like
birth weight, length, foot length, head circumference, chest circumference, mid upper arm
circumference were recorded and analysed with gestational age using correlation and
regression analysis.
Results: At p value of 0.05, the neonatal anthropometric measures showed a positive
correlation with GA in completed weeks. The multiple linear regression analysis showed that
Birth weight, length and head circumference had significant linear relationship and the
regression equation derived as follows: GA = [41.325 + 1.603 (𝐵𝑖𝑟𝑡ℎ 𝑤𝑒𝑖𝑔ℎ𝑡)] +
0.125 (𝐿𝑒𝑛𝑔𝑡ℎ) − 0.437 (𝐶ℎ𝑒𝑠𝑡 𝑐𝑖𝑟𝑐𝑢𝑚𝑓𝑒𝑟𝑎𝑛𝑐𝑒).
Conclusion: The anthropometric parameters had a positive correlation with gestational age
and there was an increase in all parameters of birth weight, length, head circumference, chest
circumference, foot length, and MUAC with respect to gestational age. So, these
measurements can be used as a better screening tool for the assessment of prematurity in low
resource settings.

Background:Pancytopenia is decrease in all the cellular constituents of the peripheral blood resulting in anaemia, leukopenia, and thrombocytopenia. Pancytopenia is characterised by anaemia, bleeding, and infection. The causes of pancytopenia vary widely. Hence, the present study was conducted to assess the profile of pancytopenia and its various causes.
Materials and Methods: The present cross-sectional observational study was conducted in Department of Pathology of a medical college hospital. A total of 40 cases of anaemia suffering from pancytopenia were included. Detailed history, clinical examination and investigations were done to determine the cause of pancytopenia.
Results: Most of the patients belonged to the age group of 21-30 years (37.5%). 57.5% were males. Megaloblastic anaemia was seen in 57.5% cases, hypoplastic/aplastic anaemia in 17.5% and hyersplenism in 7.5%.
Conclusion: Megaloblastic anaemia and aplastic anaemia were major causes of pancytopenia. Proper investigation is must in patients of pancytopenia

vast majority of India’s population (58%), depends on agriculture for their livelihood and a vital part of our agricultural production technology constitutes of Pesticide use. According to a international report in 2013 " India is the largest producer of pesticides in Asia and ranks 12th worldwide for application of pesticides”. In India ,Maharashtra has been the biggest consumer of pesticides in the last 5 years
Indian agricultural community belongs to the unorganized sector; hence they receive quite little in terms of healthcare and social security. They thus are very vulnerable to loss of income and unavailability of healthcare, despite belonging to an occupation which involves numerous hazardous possibilities.
Chronic exposure to organophosphate pesticides is associated with a multitude of ill health outcomes including polyneuropathy, dermatitis, behavioral changes, glucose intolerance & cancer .The Nervous system in particular in more sensitive to the Organophosphate pesticides, so monitoring of chronically exposed people may help prevent the onset of future neurodegenerative diseases.
The aim of this study is to assess changes in levels of Acetyl cholinesterase levels due chronic pesticide exposure, evaluate cognitive function and depression among farmers 
chronically exposed to organophosphorus compounds, and determine the association between them.
Using standardized questionaries, data will be collected about personal habits, work practices, awareness of pesticide exposure adverse effects and among individuals living in area of study, involved in agriculture repeatedly in direct contact with pesticides. Blood samples to assess biomarker (cholinesterase) will be taken and cognitive function and depression assessment will be done using MMSE tool and PHQ-9 / Beck’s inventory.
Data collected over study period will be analyzed and appropriate statistical tests will be used to determine results and draw relevant conclusions.