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Chaudhary Charan Singh Haryana Agricultural University, Hisar

Chaudhary Charan Singh Haryana Agricultural University popularly known as HAU, is one of Asia's biggest agricultural universities, located at Hisar in the Indian state of Haryana. It is named after India's seventh Prime Minister, Chaudhary Charan Singh. It is a leader in agricultural research in India and contributed significantly to Green Revolution and White Revolution in India in the 1960s and 70s. It has a very large campus and has several research centres throughout the state. It won the Indian Council of Agricultural Research's Award for the Best Institute in 1997. HAU was initially a campus of Punjab Agricultural University, Ludhiana. After the formation of Haryana in 1966, it became an autonomous institution on February 2, 1970 through a Presidential Ordinance, later ratified as Haryana and Punjab Agricultural Universities Act, 1970, passed by the Lok Sabha on March 29, 1970. A. L. Fletcher, the first Vice-Chancellor of the university, was instrumental in its initial growth.

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2008 - 200912010 - 20182
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Subject: Human Development and Family Studies × Author: Sunita × Start date: 1993 ×
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    ThesisItemOpen Access
    Quality of life and adjustment pattern among senior citizens
    (CCSHAU, 2018) Sunita; Sangwan, Sheela
    The study was conducted in Hisar district of Haryana state purposively selected. For the rural sample 200 senior citizens of age group 60-70 years were selected. Hisar city was purposively selected and total 200 senior citizens were included in the study for urban sample, thus included total 400 senior citizens from both rural and urban area. Majority of senior citizens in both rural and urban area were in 60-65 years age group. Above fifty percent of urban senior citizens were having up to 4 family members Majority of senior citizens were married, living with husband-wife with one child. Female senior citizens were housewife whereas; males were ex-service man and farmers. Maximum numbers of urban and rural senior citizens were in medium category in all aspects of physical, psychological, level of independence, social relationship, environment, spirituality domains and overall quality of life and all areas of adjustment pattern. Significant differences were observed in all domains of quality of life except physical domain of urban and rural senior citizens. Quality of life and adjustments of younger senior citizens were better as compared to older senior citizens. There were significant differences in home, marital, emotional and financial areas of adjustment pattern of urban and rural senior citizens. Physical domain, psychological domain, level of independence domain, social relationship domain and environment domain of quality of life was significantly associated with area of residence of senior citizens. Overall quality of life was significantly associated with area of residence, occupation of male, marital status and annual income. Health and marital adjustment pattern was positively significantly correlated with occupation of senior citizens. Overall adjustment pattern was positively significantly correlated with family type and living arrangement of senior citizens. More number of rural senior citizens was in high category of depression as compared to urban senior citizens. Significant differences were observed in depression in between urban and rural area senior citizens. Depression was negatively and significantly correlated with all the domains of quality of life of senior citizens. To improve the quality of life of senior citizens some strategies were framed for all the domains of quality of life and adjustment pattern.
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    ThesisItemOpen Access
    Human ecological systems and mental health of adolescents
    (CCSHAU, 2008) Sunita; Chhikara, Sudha
    Mental health is the capacity to work, capacity to love and the capacity to play for recreation (World Health Organization, 1993). Mental health is how people think, feel and act as they face life’s situations. It affects how young people handle stress, relates to other people and make decisions. Eaton and Peterson (1967) described a mentally healthy adult as “a person who is free of psychiatric disease, has a general feeling of well being, function at or near his full biological capacity, is competent in dealing with his environment, and has good ego strength. The present investigation was conducted to assess the mental health of adolescents. A comparative analysis was done to know the differences between rural and urban, male and female adolescents of 12-18 years age group. Haryana state was selected purposively while Sirsa district was selected purposively. From Sirsa district Dabwali block was selected randomly, city area of this block was purposively taken for urban sample while village Goriwala was randomly selected. A sample of 200 adolescents, 100 from rural and 100 from urban schools, was taken. Independent variables considered were Microsystem, Mesosystem, Exosystem, Macrosystem and Chronosystem. Mental health of adolescents was taken as dependent variables. In the process of assessment of mental health, Mental Health Battery (2000) by Arun Kumar Singh and Alpana Sen Gupta was used. A questionnaire was developed pretested and used to gather data for human ecological factors of respondents. The findings portrayed that most of the respondents of 15-18 years of age group were from rural and urban areas. Majority of the respondents belonged to nuclear and medium sized families. Parents of most of the respondent were educated upto primary or middle class. The neighbourhood status of most of the respondents was middle class and their families were having good relationships with their neighbours. Most of the parents adopted authoritative disciplining technique for their children. The variable of human ecological environment exerted a powerful influence on the mental health of the adolescents. Human ecological variables such as education of father, discipline by parents, family income, caste, general health status, surrounding and location, relationship with grandparents, visiting to or visiting by family friends and relatives, occupation of mother, relationship with neighbourhood, interaction with neighbourhood, membership of club or organization were found to be significantly associated with mental health components while other factors were not significantly associated with mental health of young adolescents, but as the human ecological system work as interconnected networks, so all the factors can be said to be directly and indirectly associated with all the components of mental health of adolescents. Differences was found to be significant between rural and urban males adolescents (12-15 years) for emotional stability, overall adjustment and autonomy which are the components of mental health, whereas non-significant differences were observed between rural and urban females (12-15 years) for these component of mental health. Further significant differences were found between rural and urban males adolescents (15-18 years) for emotional stability and overall adjustment. Significant differences were found between rural and urban female adolescents (15-18 years) for emotional stability, self-concept and intelligence. Few strategies are suggested to cope with mental health problems viz. population based intervention programme, training to the parents, school programmes, establishment of adolescent guidance centre, yoga and spiritual programme, organization of teens and adolescents discussion.
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    ThesisItemOpen Access
    Self-esteem and depression among adolescents
    (CCSHAU, 2014) Sunita; Punia, Shakuntala
    The study was conducted to find out the relationship of self-esteem and depression on 290 students, studying in 9th and 10th standard, age ranging from 15-16 years, from rural and urban area of Hisar district, from Haryana state. Beck Depression Inventory, Inventory of Parent-Peer Attachment (IPPA), and Rosenberg Self-Esteem Scale were used for collecting data on depression, parent-peer attachment and self-esteem respectively. Pearson product moment correlation coefficient, t-test and regression analysis were used to get the inferences as per objective. The mean age of respondents was 15.42years and nearly sixty percent selected respondents were females. Majority of respondents were either 1st or 2nd born having average academic performance and studying in 10th class. Parental profile revealed that mean chronological age of mothers and father was 36.84 and 41.49 years respectively. Majority of mothers were illiterate or educated up to middle class, whereas majority of fathers were matriculate. Most of the mothers were house wives and nearly half of fathers worked as laborers. Majority of the respondents belonged to nuclear families with medium size and were from SC or BC category. Annual income of the family was up to ` 1, 26,666.Results concluded that majority of the respondents had high trust, communication and low level of alienation with their parents and peers. Rural as well as female respondents had moderately secure attachment as compared to their counterparts. Positive and significant correlations were observed in adolescent’s parent peer attachment with gender, academic achievement, whereas, ordinal position was correlated only with maternal attachment. Paternal age and occupation were negatively and significantly correlated with peer trust, communication, alienation and paternal communication. Negative and significant correlation existed between academic class and maternal communication, alienation, attachment and paternal alienation, whereas, annual income had positive correlation only with maternal trust. The results related to self-esteem revealed that majority of the adolescents had normal level of self-esteem. The urban girls were superior to their counter parts in self-esteem. Significant and positive correlation of adolescents self-esteem was seen with gender, academic achievement, maternal, paternal and peer trust, communication and attachment, whereas, negative but significant relation were seen with paternal occupation and maternal, paternal and peer alienation. Further majority of respondents were nondepressed or had mild mood disturbances, whereas, 33.5% respondents had clinical depressive symptoms. Comparatively males or respondents from rural area were more depressed. The self-esteem, academic achievement and parent and peer trust, communication and attachment were negatively and significantly correlated with depression hence acted as protective factors. Whereas maternal, paternal, peer alienation was seen as risk factor for depression among adolescents. Further self-esteem, peer alienation, mother communication and father trust were the significant predictors causing variance in depression.