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- Anindita Mukherjee
- Atanu Kumar Dogra
- Sharbani Mullick
- Nabamita Chakraborty
- Sayantani Bhattacharya
- Rudrani Chatterjee
- Zainab Ahmed
- Suchandra Chakraborty
- Asmita Karmakar
- Aparajita Chakraborty
- Tapolagna Das
- Manisha Bhattacharya
- Atri Sanyal
- Saranya Banerjee
- Anwista Ganguly
- Urmimala Ghosh
- Arumina Mitra
- Jaspreet Kaur
- Jishnu Bhattacharya
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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Das, Sanjukta
- A Comparative Study of Personality and Parent Child Relationship in Children with Internalized and Externalized Disorders
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Authors
Affiliations
1 CUIIPP Department of Psychology, University of Calcutta, Calcutta, IN
2 Department of Psychology University of Calcutta, Calcutta, IN
1 CUIIPP Department of Psychology, University of Calcutta, Calcutta, IN
2 Department of Psychology University of Calcutta, Calcutta, IN
Source
Indian Journal of Health and Wellbeing, Vol 5, No 6 (2014), Pagination: 707-710Abstract
The present study aimed to find out the comparison among children with externalized and internalized disorder and the Control group with respect to different traits of personality and their perception of different aspects of parent child relationships. Sample consisting seven children with externalized disorder and eight children with internalized disorder and eight children in the control group were selected on the basis of the inclusion/exclusion criteria. A semi. Structured interview schedule including socio-demographic and clinical information was administered; children were categorised as having the externalized and internalized features by using the Devereux Scales of Mental Disorders (Naglieri et al., 1979); and Junior Eysenck Personality Questionnaire (Eysenck&Eysenck, 1975), Parent Child Relationship Scale (Rao, 1989) were administered. The obtained data had been analyzed by Kruskal Wallis one way ANOVA. Results reveal that there is a significant difference among children with internalized (ID), externalized (ED) features and control group with respect to rank scores of extraversion, psychoticism, neuroticism, lie score of personality, and perception of different aspects of parent child relationship, i.e., rejecting (from father&mother), demanding (from mother), and neglecting (from mother) symbolic reward (from father), loving (from mother), object reward (from father&mother), neglecting(M) .Keywords
No Keywords- The Working Woman's Marital Happiness:A Cross-Sectional Investigation on Bengali Women
Abstract Views :258 |
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Authors
Affiliations
1 Department of Psychology, University of Calcutta, Kolkata, IN
1 Department of Psychology, University of Calcutta, Kolkata, IN
Source
Indian Journal of Health and Wellbeing, Vol 3, No 4 (2012), Pagination: 956-960Abstract
The current research explored the relationship between the daily hassles encountered by 30 to 40-year-old working women and the consequent changes in the reported levels of marital satisfaction. The sample size was 80. Self-report instruments, namely, Marital Satisfaction Scale (Amnthraj&Jai Prakash ), the Daily Hassles Scale (Basu, 2005), the Presumptive Stressful Life Event Scale (Singh et al., 1984) and the General Health Questionnaire (Goldberg&Hill, 1990) were filled out by the participants to assess the respective domains concerned with the investigation. For methodological and interpretive convenience, the participants were divided into two broad groups by the median-split technique one having high and the other low marital satisfaction. Statistical treatment and analyses of the obtained data reveal lesser daily hassles reported by the high marital satisfaction group in contrast to the low marital satisfaction group. Implications and conclusions of the findings are mentioned.Keywords
Marital Happiness, Working Women.- Influence of Psychiatric Morbidity and Self-Efficacy on Midlife Generativity
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Authors
Affiliations
1 Department of Psychology, University of Calcutta, Calcutta, IN
1 Department of Psychology, University of Calcutta, Calcutta, IN
Source
Indian Journal of Health and Wellbeing, Vol 4, No 7 (2013), Pagination: 1374-1380Abstract
Middle adulthood entails the height of social power and having access to a rich supply of social support (Dorner et al., 2005).Although the social networks are shrinking throughout adulthood, social satisfaction is steadily on the rise (e.g., Lansford, Sherman & Antonucci,1998). Naturally, self-esteem is quite at its peak around the age of 60 years (Robins, Trzesniewski, Tracy, Gosling, & Potter, 2002), the source of personal control and power is at its peak (Clarke-Plaskie & Lachman, 1999), and subjective well-being tends to be at least higher than in young adulthood (e.g., Cross & Markus, 1991;Heckhausen, 1999) without feeling overly grandiose or afraid (Dorner et al., 2005). Unlike many younger adults, most of them have made their peace with societal expectations and have found decent arrangements to meet both personal goals and environmental demands. Yet, in comparison to older adults, middle adults tend to be more egocentric and also more vital and vigorous in pursuing their concerns (Mc Adams, 2001; Stewart & Vandewater, 1998).Keywords
Psychiatric Morbidity, Self-Efficacy, Midlife Generativity.- Women and Motherhood:Social and Psychological Interpretation
Abstract Views :277 |
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Authors
Affiliations
1 Department of Psychology, University of Calcutta, Kolkata, IN
1 Department of Psychology, University of Calcutta, Kolkata, IN
Source
Indian Journal of Health and Wellbeing, Vol 4, No 7 (2013), Pagination: 1470-1473Abstract
Pregnancy being an important milestone in a woman's life, motherhood has long been a debated topic. Every individual posit a different view of motherhood and its importance in one's life. From the time immemorial it has been considered as an expression of female identity, and every woman aspires to become mother to be socially accepted. But what exactly drives a woman to be mother is still a curtained fact. The present article is an endeavor to search for its cause in the society and in psychological makeup of the women. Though the societal operations have important contributions in having favourable attitude towards motherhood, personal choice and psychological factors do manipulate this attitude. A small survey was also conducted to get the impression of motherhood directly from the women to get a more magnified view of their perspectives. The survey revealed the influence of the lifestyle factors that shapes the decision of child bearing of the contemporary women. In this regard, the stance of the different theorists about motherhood has also been taken into account to provide an answer to the question, why every woman wants to have baby and yearns to be called 'mother'.Keywords
Motherhood, Psycho-Social Influence, Lifestyle Factors, Generativity.- Well-Being of Primigravidae:A Kolkata Based Correlational Study
Abstract Views :303 |
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Authors
Affiliations
1 Women's College, Kolkata, West Bangal, IN
2 Department of Psychology, University of Calcutta, Kolkata, West Bengal, IN
1 Women's College, Kolkata, West Bangal, IN
2 Department of Psychology, University of Calcutta, Kolkata, West Bengal, IN
Source
Indian Journal of Health and Wellbeing, Vol 9, No 1 (2018), Pagination: 110-114Abstract
Pregnancy is a turning point in a women's life that is marked by innumerable metamorphoses in different spheres of life. The effects of some of these are transitory and some are permanent. Such period of crisis needs intense review to get a clearer picture of this central milestone of a woman's life. The present study was designed to assess the psychological conditions affecting the pregnancy period of primigravidae for which 46 primigravidae were reviewed on factors like anxiety, depression, happiness, different factors of personality and general well being, twice once in their first trimester and again in their third trimester of pregnancy. For the analyses of the data product moment correlation and stepwise multiple regression analyses was done with the help of SPSS package. The findings revealed happiness as the most positive factor of general well-being in both the trimester of pregnancies.Keywords
Pregnancy, Anxiety Depression, Happiness, General Well-Being.- Perceived Family Environment of Parents of Children with Oppositional Defiant Disorder with or without Comorbid Attention Deficit Hyperactivity Disorder
Abstract Views :274 |
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Authors
Affiliations
1 Clinical Psychologist, Department of Clinical Psychology Institute of Psychiatry, Kolkata, West Bengal, IN
2 Department of Psychology University of Calcutta, Kolkata, West Bengal, IN
1 Clinical Psychologist, Department of Clinical Psychology Institute of Psychiatry, Kolkata, West Bengal, IN
2 Department of Psychology University of Calcutta, Kolkata, West Bengal, IN
Source
Indian Journal of Health and Wellbeing, Vol 9, No 3 (2018), Pagination: 397-400Abstract
Oppositional Defiant Disorder symptomatology is complicated by a complex interplay of emotional and behavioural factors and associated risk for co-morbidities and more severedisorders. The primary context for such manifestation is the family, which begins with how parents perceive and interpret the family. The current study investigates the family environmental variables of parents of boys with Oppositional Defiant Disorder (ODD) with or without co-morbid Attention Deficit Hyperactivity Disorder (ADHD) trom lower socioeconomic status (SES).Family Environment Scale, Kuppuswamy's Socioeconomic Status Scale and Structured Clinical Interview with ICD 10 andICD 10 DCR were administered to parents of boys with ODD with or without ADHD. Families of cases reported less acceptance caring and mothers additionally reported lower cohesion and organization than their age and SES matched counterparts. Findings resonate with the notion that families of children with disruptive behaviours, even though not severe enough to warrant diagnoses of conduct disorder, report higher discordance in their family environment.Keywords
Oppositional Defiant Disorder (ODD), Family Environment, Parents of ODD.References
- Alvarez, H. K., & Ollendick, T. H. (2003). Individual and psychosocial risk factors. InC. A. Essau (Ed.), Conduct and oppositional defiant disorders: Epidemiology, risk factors, and treatment (pp. 97-116). Mahwah, NJ: Lawrence Erlbaum Associates.
- Barkley, R. A. (1997). Understanding the defiant child: Program manual. New York: The Guilford Press.
- Bhatia, H., & Chadha, N.K. (1993). Family Environment Scale. Lucknow: Ankur Psychological Agency.
- Bronfenbrenner, U. (1995). Developmental ecology through space and time: A future perspective. In P. Moen, G. H. Elder, and K. Luescher (Eds.), Examining lives in context: Perspectives on the ecology of human development (pp. 619-647). Washington, DC: American Psychiatric Association.
- Burnette, M.L. (2013). Gender and the development of oppositional defiant disorder: Contributions of physical abuse and early family environment. Child Maltreatment, 75(3), 195-204.
- Carlson, C. L., Tamm, L., & Hogan, A. E. (1999). The child with oppositional defiant disorder and conduct disorder in the family. In H. C. Quay and A. E. Hogan (Eds.), Handbook of disruptive behavior disorders (pp. 337-352). New York: Kluwer Academic/Plenum.
- Faraone, S. V., Biederman, J., Mennin, D., Russell, R., & Tsuang, M. T. (1998). Familial subtypes of attention deficit hyperactivity disorder: A 4 year follow-up study of children from antisocial ADHD families. Journal of Child Psychology and Ps-ychiatry.,39, 1045-1053.
- Kumar, B.P., & Dudala, Rao (2013). Kuppuswamy's Socioeconomic Status Scale a revision of economic parameter of 2012. International Journal of Research and Development of Health, 7(1), 2-4.
- Lindahl, K. M. (1998). Family process variables and children's disruptive behavior problems. Journal of Family Psychology, 12,420-436.
- Lochman, J. E., & Gresham, F. M. (2008). Intervention development, assessment, planning and adaptation: Importance of developmental models. In M. J. Mayer, R. Van Acker, J. E. Lochman, and F. M. Gresham (Eds.), Cognitive behavioral interventionsfor emotional and behavioral disorders: School-based practice (pp. 29-57). New York: Guilford Press.
- Lochman, J. E., Barry, T. D., & Salekin, K. (2005a). Aggressive/oppositional behaviors (oppositional defiant & conduct disorders). In L. Osborn, T. DeWitt, and L. R. First (Ebs.), Pediatrics {pp. 1577-1585). Philadelphia: Elsevier.
- McGee, R., & Williams, S. (1999). Environmental risk factors in oppositional defiant disorder and conduct disorder. In H. C. Quay and A. E. Hogan (Eds.), Handbook of disruptive behavior disorders (pp. 419-440). New York: Kluwer Academic/Plenum Publishers.
- Nock, M.K., Kazdin, A.E., Hiripi, E., & Kessler, R.C. (2007). Lifetime prevalence, correlates, and persistence of oppositional defiant disorder: Results from the national comorbidity survey replication. Journal of Child Psychology and Ps^ychiatry, 48{1), 703-713.
- Pingali, S., & Sunderajan, J. (2014). A study of comorbidities in attention deficit hyperactivity disorder: A retrospective analysis of case records. AP Journal of Psychological Medicine, 75(2), 206-210.
- Steinhausen, H.C., &Novik, T.S. (2006). ADORE study group. Co-existing psychiatric problems in ADHD in the ADORE cohort. European Child and Adolescent Psychiatry, 15,1-25-I/29.
- World Health Organization (1992). The ICD-10 Classification of Mental and Behavioral Disorders: Clinical Descriptions and diagnostic Guidelines. Geneva: World Health Organization.
- World Health Organization (1993). The ICD-10 Classification of Mental and Behavioural Disorders: Diagnostic Criteriafor Research. Geneva: World Health Organization.
- A Study of Quality of Life of Infertile Women
Abstract Views :355 |
PDF Views:1
Authors
Zainab Ahmed
1,
Sanjukta Das
2
Affiliations
1 Clinical Psychologist, Department of Health & Family Welfare, Govt of West Bengal, IN
2 Department of Psychology, University of Calcutta, Kolkata, West Bengal, IN
1 Clinical Psychologist, Department of Health & Family Welfare, Govt of West Bengal, IN
2 Department of Psychology, University of Calcutta, Kolkata, West Bengal, IN
Source
Indian Journal of Health and Wellbeing, Vol 10, No 1-3 (2019), Pagination: 59-64Abstract
In a pronatalist culture such as in India, infertility is an important issue. Until recently, very few studies have been done to understood the patterns and consequences o f infertility in India. Infertility in women has varied impact on multiple dimensions o f health and functioning. An attempt was made to study the quality o f life (QoL) o f infertile women and to explore the factors affecting it. Standardised questionnaires were administered to 30 married infertile women (diagnosed with female causes for infertility) and 30 married fertile women. Data was treated with appropriate statistics. Infertile women have a significantly poor quality o f life than fertile women, especially in the physical, psychological and social domains. Length o f menstrual cycle emerged as a significant negative predictor o f the overall quality o f life and social QoL and duration o f infertility emerged as the negative predictor o f physical and psychological QoL. This understanding may help us to improve their quality o f life by psychotherapeutic interventions.Keywords
Infertility, Quality Oflife, Menstrual Cycle, Duration of Infertility.References
- Alhassan, A., Ziblim, A.R., & Muntaka, S. (2014). A survey on depression among infertile women in Ghana. BMC Women's Health, 74(42), 1-6. In Hassan, S. N., Khurshid, E., & Batool, S. (2015). Psychological distress experienced by women with primary infertility in Pakistan: Role of Psycho-Social and Cultural factors. Nust Journal o f Social Sciences and Humanities, 7, 56-72.
- Amaza, D.S., Sambo, N., Zirahei, J.V., Dalori, M.B., Japhet, H., & Toyin, H. (2012). Menstrual pattern among female medical students in university of Maiduguri. British Journal o f Medicine and Medical Research, 2(3), 327-37. In Karki, PB., & Gupta, R (2017). Menstrual pattern and disorders among female students of Kathmandu medical college. International Journal o f Contemporary Medical Research, 4, 12. www.ijcmr.com.
- Apgar, B.S., Kaufman, A.H., George-Nwogu, V., & Kittendorf, A. (2007). Treatment of menorrhagia. American Family Physician, 75, 1813-1819. In Mahmood, M., & Jabreen, N. (2013). Pattern ofmenstrual irregularities amongst women presenting to gynaecological outpatient department. Journal o f Islamabad Medical and Dental College, 2(1),9-12.
- BaghiamaAmianian (2015).www.researchgate.net
- Bharadwaj, A. (2002). Culture,Infertility and gender-vignettes from South Asia and North Africa. SexualHealth Exchange, 2, 14-15. In Sarkar, S., & Gupta, P. (2016). Socio-demographic correlates of women's infertility and treatment seeking behaviour in India. Journal o f Reproduction and Infertility, 77(2), 123-132.
- Boivin, J., Bunting, L., Collins, J.A., & Nygren, K.G. (2007). International estimates of infertility prevalence and treatment seeking: Potential need and demand for infertility medical care. Human Reproduction, 22(6), 1506-1512. In Valsangkar, S., Bodhare, T., Bele, S., & Sai, S. (2012). An evaluation of the effect of infertility on marital, sexual satisfaction indices and health related quality. Journal o f Human Reproductive Sciences, 4(2), 80-85.
- Boivin, J., Takefman, J.E., & Tulandi, T. (1995). Reactions to infertility based on extent of treatment failure. Fertility and Sterility, 63(4), 801-807.
- Clark, L.R., Bames-Harper, K.T., Ginsburg, K.R., & Holmes, W.C. (2006). Menstrual irregularities from hormonal contraception: A cause of reproductive health concerns in minority adolescent young women. Contraceptio, 74r 214-219. In Mahmood, M., & Jabreen, N. (2013). Pattern ofmenstrual irregularities amongst women presenting to gynaecological outpatient department. Journal o f Islamabad Medical and Dental College, 2(1), 9-12.
- Dambhare, D.G., Wagh, S.V., & Dudhe, J.Y. (2012). Age of menarche and menstrual cycle pattern among school adolescent girls in central India. Global Journal o f Health Science, 4, 105-111. In Karki, P.B., & Gupta, R (2017). Menstrual pattern and disorders among female students of Kathmandu medical college. International Journal o f Contemporary Medical Research, 4r 12.www.ijcmr.com.
- Ebrahimi, A., Molavi, H., Moosavi, G., Bomamanesh, A., & Yaghobi, M. (2007). Psychometric properties and factor structure of general health questionnaire 28 in Iranian psychiatric patients. Journal o f Research in Behavioural Sciences, 5(1), 5-12. In Forooshany, S.H.A., Yazdkhasti, F., Hajataghaie, S.S., & Esfahani, M.H.N. (2014). Infertile individual's relationship status happiness and mental health: A causal model. International Journal o f Fertility and Sterility, 8(3), 315-324.
- Goldberg, D.P., & Hiller, V.F. (1979). A scaled version of the general health questionnaire. Psychological Medicine, 9(1), 139-1345. In Namdar et al. (2017). Quality of life and general health of infertile women
- Health and Quality o f Life Outcomes, 1 5 ,139S.
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- Hassan, S.N., Khurshid, E., &Batool, S. (2015). Psychological distress experienced by women with primary infertility in Pakistan: Role of psycho-social and cultural factors .Nust Journal o f Social Sciences and Humanities, 7, 56-72.
- Hustan, A.M. (2006). Knowledge,attitude and consequences of menstrual health in urban adolescent females. Journal o f Paediatrics and Adolescent Gynecology, 19, 271-275. In Mahmood, M., & Jabreen, N. (2013). Pattern ofmenstrual irregularities amongst women presenting to gynaecological outpatient department. Journal o f Islamabad Medical and Dental College, 2(1), 9-12.
- Jahanfar, S. (2012). Genetic and environmental detriments ofmenstrual characteristics. Indian Journal o f Human Genetics, 75(2), 187-192. In Mahmood, M., & Jabreen, N. (2013). Pattern of menstrual irregularities amongst women presenting to gynaecological outpatient department. Journal o f Islamabad Medical and Dental College, 2(1), 9-12.
- Jindal, U.N., & Gupta, A.N. (1989). Social problems of infertile women in India. International Journal o f Fertility, 8, 539-546.
- Kato, I., Toniolo, P., & Koeing, K.L. (1995). Epidemiological correlates with menstrual cycle length in middle aged women. European Journal o f Epidemiology, 15, 809-814. In Mahmood, M., & Jabreen, N. (2013). Pattern of menstrual irregularities amongst women presenting to gynaecological outpatient department. Journal o f Islamabad Medical and Dental College, 2(1), 9-12.
- Kumar, D. (2007). Prevalence of female infertility and its socioeconomic factors in tribal communities of Central India. Rural Remote Health, 7(2), 456-460. In Valsangkar, S., Bodhare, T., Bele, S., & Sai, S. (2012). An evaluation of the effect of infertility on marital, sexual satisfaction indices and health related quality. .Journal o f Human Reproductive Sciences, 4(2), 80-85.
- Larsen, U. (2005). Research on infertility: Which definition should we use? Fertility and Sterility, 83(4), 846-852.
- Lykeridou, K., Gourounti, K., Sarantaki, D., Loutradis, D., Vaslamatzis, D., & Deltsidou, A. (2011). Occupational social class, coping responses and infertility related stress of women undergoing infertility treatment. Journal o f Clinical Nursing, 20, 1971-1980. In Hassan, S.N, Khurshid, E , & Batool, S. (2015) Psychological distress experienced by women with primary infertility in Pakistan: Role of psycho-social and cultural factors. Nust Journal o f Social Sciences and Humanities, 7,56-72.
- Mahlstedt, P.P. (1985). The psychological component of infertility. Fertility Sterility, 45(3), 335-346. (Pub Med).
- Mahmood, M., & Jabreen, N. (2013). Pattern ofmenstrual irregularities amongst women presenting to gynaecological outpatient department. Journal o f Islamabad Medical and Dental College, 2(1), 9-12.
- Makowska, Z., Merecz, D., Mocecicka, A., & Kolasa, W. (2002). The validity of general health questionnaires, GHQ-12 and GHQ-28, in mental health studies of working people. International Journal o f Occupational Medicine and Environmental Health, 75(4), 353-362. In Forooshany, S.H.A., Yazdkhasti, F., Hajataghaie, S.S., & Esfahani, M.H.N. (2014). Infertile individual's relationship status, happiness and mental health: A causal model. International Journal o f Fertility and Sterility, 8(3), 315-324.
- Mulgaonkar, V.B. (2001). A research and an intervention programme on women's reproductive health in slums in Mumbai. Mumbai, Sanjeevan Trust.
- Namdar, A., Naghizdeh, M.M., Zamani, M., Yaghmaei, F., & Sameni, M.D. (2017). Quality of life and general health of infertile women. Health and Quality o f life Outcomes, 15, 139.
- Noorbala, A.A., & Mohammad, K. (2009). The validation of the general health questionnaire-28 as a screening tool. Hakim Health System Research, 11(4), 47-53. In Namdar et al. (2017). Quality of life and general health of infertile women. Health and Quality o f Life Outcomes, 15, 139.
- Phipps, S. (1993). Men and women react differently to infertility. South Africa Today, 722(2581), 14-17. In Sarkar, S., & Gupta, P. (2016). Socio-demographic correlates of women's infertility and treatment seeking behaviour in India. Journal o f Reproduction and Infertility, 77(2), 123-132.
- Rutstein, S.O. (2004). Infecundity, infertility and childlessness in developing countries. Calverton, Maryland, USA: ORC Macro and the World Health Organisation. Sept. 74p. DHS Comparative Reports No.9. In Sarkar, S., & Gupta, P. (2016). SocioDemographic correlates of women's infertility and treatment seeking behaviour in India .Journal o f Reproduction and Infertility, 77(2), 123-132.
- Sarkar, S., & Gupta, P. (2016). Socio-demographic correlates of women's infertility and treatment seeking behaviour in India. Journal o f Reproduction and Infertility, 77(2), 123-132.
- Sundby, J. (1999). Sad not to have children, happy to be childless: A personal and professional experience ofinfertility. ReproductiveHealth Matters, 7(3), 13-19. In Hassan, S.N., Khurshid, E., &Batool, S. (2015). Psychological distress experienced by women with primary infertility in Pakistan: Role of psycho-social and cultural factors. Nust Journal o f Social Sciences and Humanities,!, 56-72.
- Unisa, S. (1999). Childlessness in Andhra Pradesh, India: Treatment seeking and consequences. Reproductive Health Matters, 7, 54-64.
- Valsangkar, S., Bodhare, T., Bele, S., & Sai, S. (2012). An evaluation ofthe effect of infertility on marital, sexual satisfaction indices and health related quality. .Journal o f Human Reproductive Sciences, 4(2), 80-85.
- Widge, A. (2002). Sociocultural attitudes towards infertility and assisted reproduction in India. In E. Vayena, P.J. Rowe, & and P.D. Griffin (Eds.), Currentpractices and controversies in assisted reproduction. Report o f a meeting on “medical, ethical and social aspects o f assisted reproduction (pp. 60-74). Geneva: World Health Organisation. In Hassan, S.N., Khurshid, E., & Batool, S. (2015). Psychological distress experienced by women with primary infertility in Pakistan: Role o f psychosocial and cultural factors. NustJournal o f Social Sciences and Humanities, 1, 56-72.
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- Zargar, A.H,Wani, A.I., Masoodi, S.R, Laway, B.A, & Salahuddin, M. (1997). Epidemiological andetiologic aspects of primary infertility in the Kashmir region of India. Fertility and Sterility, 68(4), 637-643. In Valsangkar, S., Bodhare, T., Bele, S., & Sai, S. (2012). An evaluation of the effect of infertility on marital, sexual satisfaction indices and health related quality. Journal o f Human Reproductive Sciences, 4(2), 80-85.
- Construction of 'Kolkata-Mental Illness Stigma Scale (K-MISS)'
Abstract Views :320 |
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Authors
Suchandra Chakraborty
1,
Asmita Karmakar
2,
Aparajita Chakraborty
3,
Anindita Mukherjee
4,
Tapolagna Das
5,
Manisha Bhattacharya
6,
Atri Sanyal
7,
Saranya Banerjee
2,
Anwista Ganguly
7,
Urmimala Ghosh
8,
Arumina Mitra
9,
Jaspreet Kaur
10,
Atanu Kumar Dogra
11,
Jishnu Bhattacharya
12,
Sanjukta Das
11
Affiliations
1 MPhil Trainee Clinical Psychology, University of Calcutta, Kolkata, West Bengal, IN
2 UGC Senior research fellow, University of Calcutta, Kolkata, West Bengal, IN
3 Department of Psychology, Amity University, Kolkata, West Bengal, IN
4 Clinical Psychologist, Department of Health and family welfare, Govt of West Bengal, IN
5 Department of Psychology, Sidho Kanho Birsha University, Lagda, West Bengal, IN
6 Clinical Psychologist, Autism Society, West Bengal, IN
7 State aided college teacher, Department of Psychology, Maharani Kasiswari College, Kolkata, West Bengal, IN
8 State Aided College Teacher, Department of Psychology, Maharani Kasiswari College, Kolkata, West Bengal, IN
9 MPhil Trainee in Clinical Psychology, University of Calcutta, Kolkata, West Bengal, IN
10 DPS, Joka, Kolkata, West Bengal, IN
11 University of Calcutta, Kolkata, West Bengal, IN
12 Department of Psychology, University of Calcutta, Kolkata, West Bengal, IN
13 Neuropsychiatrist, Suri Sadar Hospital, West Bengal Health Service, Suri, Birbhum, West Bengal, IN
1 MPhil Trainee Clinical Psychology, University of Calcutta, Kolkata, West Bengal, IN
2 UGC Senior research fellow, University of Calcutta, Kolkata, West Bengal, IN
3 Department of Psychology, Amity University, Kolkata, West Bengal, IN
4 Clinical Psychologist, Department of Health and family welfare, Govt of West Bengal, IN
5 Department of Psychology, Sidho Kanho Birsha University, Lagda, West Bengal, IN
6 Clinical Psychologist, Autism Society, West Bengal, IN
7 State aided college teacher, Department of Psychology, Maharani Kasiswari College, Kolkata, West Bengal, IN
8 State Aided College Teacher, Department of Psychology, Maharani Kasiswari College, Kolkata, West Bengal, IN
9 MPhil Trainee in Clinical Psychology, University of Calcutta, Kolkata, West Bengal, IN
10 DPS, Joka, Kolkata, West Bengal, IN
11 University of Calcutta, Kolkata, West Bengal, IN
12 Department of Psychology, University of Calcutta, Kolkata, West Bengal, IN
13 Neuropsychiatrist, Suri Sadar Hospital, West Bengal Health Service, Suri, Birbhum, West Bengal, IN
Source
Indian Journal of Health and Wellbeing, Vol 11, No 7-9 (2020), Pagination: 363-370Abstract
Identification and community based interventions of stigma are essential aspects of mental health. Considering this context, on the basis of theoretical conceptualization of stigma related to mental illness and current socio-cultural scenario, we attempted to construct a Bengali standardized scale to measure 'mental illness stigma in general population'. Initially, content of the fifty seven items were generated from experts' opinions under the domains of three components of stigma- 'stereotypes (cognitive knowledge structures), evoked emotions and attitudinal/behavioural consequences' with three point rating response category using vignettes(depicting any psychiatric disorder, here schizophrenia was considered). Then the scale was administered on 522 Bengali speaking, graduate participates (age range 25-40 years)for item analysis processes. Finally, 54 items were retained considering significant item total correlation and explored under components using exploratory factor analysis. Satisfactory test retest and internal consistency reliability were found for all domains of newly developed stigma scale.Keywords
Stigma, Mental Illness, Scale, Mental Health.- Addressing the Mental Health Issues of Children and Adolescents in COVID-19 Pandemic: A Comprehensive Approach
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Authors
Affiliations
1 Senior Research Fellow-UGC, Department of Psychology, University of Calcutta, Kolkata, West Bengal, IN
2 Clinical Psychologist, Department of Clinical Psychology, Institute of Psychiatry, Kolkata, West Bengal, IN
3 Ph.D. Student, Department of Psychology & Clinical Psychologist, Research Project from CPEPA, University of Calcutta, by DCRT, Govt. of W. B., Kolkata, West Bengal, IN
4 Professor, Department of Psychology, University of Calcutta, Kolkata, West Bengal, IN
1 Senior Research Fellow-UGC, Department of Psychology, University of Calcutta, Kolkata, West Bengal, IN
2 Clinical Psychologist, Department of Clinical Psychology, Institute of Psychiatry, Kolkata, West Bengal, IN
3 Ph.D. Student, Department of Psychology & Clinical Psychologist, Research Project from CPEPA, University of Calcutta, by DCRT, Govt. of W. B., Kolkata, West Bengal, IN
4 Professor, Department of Psychology, University of Calcutta, Kolkata, West Bengal, IN
Source
Indian Journal of Health and Wellbeing, Vol 13, No 2 (2022), Pagination: 264-269Abstract
Since its onset in 2019, the COVID-19 pandemic has devastated mankind in all possible aspects of life, hurting the children and adolescents in an extensive manner. This article presents various reflections obtained from our clinical and research activities with the children and adolescents in the community continuing through the pandemic months. The psychological well-being of the children and adolescents, across various ages and strata of the society, has reached new lows with each passing month. Research has shown a steep rise in the mental health problems in this population worldwide. This article talks about the multidimensional adverse impact of the pandemic faced by those residing at their own homes, enrolled and not enrolled in school and those living in institutions and streets. It is proposed that there is the need for a comprehensive child-friendly approach to render mental health intervention for these children and adolescents. The multifaceted strategies discussed in this approach address their mental health difficulties related to family, studies, school and different socio-economic conditions to uphold their best interests and psychological well-being.These needs to be done while taking in consideration the socio-cultural context and also maintaining the COVID-19 protocol as necessary in different settings. It should be involving all the stakeholders, like, parents, caregivers, teachers, school and other institutional staff, peers, mental health professionals and the significant others in the community. This can lead to create a better safe and sound place for the children and adolescents even among the pandemic blues.Keywords
child, adolescent, mental health, COVID-19 pandemic, comprehensive approachReferences
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