Couple Protection Rate is one of the proximate determinants of fertility : Since fertility is affected by a number of socio-cultural and biological factors, an increase in contraceptives acceptance need not necessarily be associated with a decline in fertility. In this paper a stochastic linear regression model is fitted on the year wise (1971- 1985) data of Crude Birth Rate (C.B.R) and Couple Protection Rate (C.P.R) of India. C.B.R. was negatively correlated with sterilization as well as IUD and conventional Contraception (CC). The stochasticity of the model would also be influenced by factors like education and socio- economic condition etc.

One hundred and ten anganwadi workers in Jawan block of district Aligarh were contacted and interviewed. Their socio- cultural characteristics as well as their knowledge and attitude towards common health problems were studies.

An Investigation was conducted to evaluate various socio- demographic variables and non- immunization in children of this region. Among all the children brought to well baby clinics, 20% were not immunized against any of the six killer diseases. Eighty two percent these were from social class I and II. Mothers of 50% and fathers of 40% non – immunized children were illiterate. Common factors for non- immunization were illness, ignorance and indifference.

This study (ICMR collaborative) has been conducted In Chiraigaon Block of Varanasi District, up, between January 1984 and September 1987. Health personnel of the Primary Health Center (PHC), Rural Health Training Center (RHTC) and voluntary Health Agency (VHA) were trained to detect sore throats in children in the age group 5 to 15 years. The average number of sore throat cases detected per effective worker month was 12.3 and 8.3 for PHC and RHTC respectively. Injection Benzathine Penicillin was provided as sledgehammer approach compliance ranged from 97.1% to 100%. This study can be helpful for implementation of the national programme for prevention of the Rheumatic Fever and Rheumatic Heart Disease.

Various studies have focused attention on the relationship between housing and health and have established residential environment as an important determinant of the health status of its residents. However, there is a paucity of research work on the development and assessment of comprehensive and quantifiable housing scores and their correlation with the general morbidity profile of residents. Such mathematical housing assessment scores may provide a valuable foresight to city and health planners. In the present study, 2,536 individuals from 542 families, residing in 5 different types of houses were analysed. The residential environment was quantified by using a scoring system developed by Desai and the families were grouped into 3 categories accordingly. A complete health check up of all residents was undertaken to ascertain their disease profile. It was observed that high housing scores were significantly associated with an increase in non- communicable diseases and diseases of the nervous and respiratory systems, while low scores had a high prevalence of communicable, infectious and parasitic diseases. The findings were validated by a repeat assessment using individual parameters separately.