This study tries to explore the shocking 'Nakusa' phenomenon in the Satara district of Maharashtra by analysing the factors responsible for discrimination against girl children. Many parents have named their daughters as 'Nakusa/Nakoshi' means 'unwanted' in local Marathi language, in the hope and under the superstition that the next child will be a boy. A survey of 'Nakusa' households was carried out in 2013 in the selected villages besides case studies of parents and their 'unwanted' daughters. Most 'Nakusas' were either third or fourth daughter of their parents. 'Nakusa' girls are experiencing discrimination and socio-psychological problems, and are the silent victims of the most visible and crudest form of gender bias still persisting. Women called 'Nakusa', who have suffered on account of their name all through their lives, will they ever want to have a daughter?
Cover -- Title -- Copyright -- Contents -- List of figures -- List of tables -- About the authors -- Acknowledgements -- Introduction -- SECTION 1 Mysore -- 1 Plague administration in Princely Mysore: resistance, riots, and reconciliation -- Administrative measures to control plague -- Public resistance -- Plague and riots: the Ganjam case -- Discussion and conclusion -- 2 Addressing public health and sanitation in Mysore, 1881-1921: 'model' state and 'native' administrators -- Organization of public health administration -- Organization of Sanitary Department -- Epidemic administration: vaccination -- Administering an epidemic: the case of influenza pandemic of 1918 -- Concluding observations -- SECTION 2 The Orissan states -- 3 Princely maladies: leprosy -- 'The empire strikes back' -- Colonial 'unreason' and ways of explaining leprosy -- Leprosy: the Adivasi healing system and the Princely state of Keonjhar -- Mayurbhanj -- Conclusion -- 4 Smallpox in the Princely enclaves of Orissa -- Smallpox and the world of the tribals -- Smallpox and the colonial establishment -- The Princely states -- Gangpur -- Mayurbhanj -- Keonjhar -- Kalahandi -- Nilgiri -- Dhenkanal -- Conclusion -- SECTION 3 Travancore and Orissa -- 5 Medical developments and Western psychiatry in Travancore and Orissa -- Introduction -- A 'modern' and 'ideal' Indian state: Travancore -- Late nineteenth-century medical reforms and social stratification -- Medical reforms and funding priorities -- The role of missionaries and caste reform -- Religious welfare institutions and Brahmin privileges -- Indigenous medicine and Vaidyasalas -- Medical provision, government spending, and caste in the twentieth century -- Gender -- The lunatic asylum at Trivandrum during the late nineteenth century -- Institutional statistics and reports
Zugriffsoptionen:
Die folgenden Links führen aus den jeweiligen lokalen Bibliotheken zum Volltext:
PurposeThe purpose of this study is to investigate the association between the marriage among blood relatives and resulting adverse pregnancy outcomes.Design/methodology/approachThis study uses data from India Human Development Survey in 2005. The methods of analyses include bivariate, trivariate estimates and Cox proportional hazard regression model.FindingsThe results reveal that the occurrence of consanguineous marriages is more predominant in southern India and among socioeconomically disadvantageous groups. Moreover, women in consanguineous unions are more likely to have adverse pregnancy outcomes including stillbirths (RR=1.59, p‐value<0.01), abortions (RR=3.03, p‐value<0.01), miscarriages (RR=1.94, p‐value<0.01) and spontaneous miscarriages (RR=1.70, p‐value<0.01). Consanguineous marriages continue to be a critical predictor of adverse pregnancy outcomes in India.Practical implicationsIn order to avoid loss of pregnancy and related reproductive health problems in India, it is imperative to create awareness regarding the adverse effects of consanguineous marriages, focusing on the regions with high prevalence.Originality/valueThis unique study comprehensively examines the occurrence of consanguineous marriages and their association with adverse pregnancy outcomes by using advanced statistical analyses and nationally representative data.