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Empowerment of women in transforming societies, chall e nges and difficulties

Empowerment of women in transforming societies, chall e nges and difficulties. Maria S Kopp MD, PhD , Institute of Behavioural Sciences, Semmelwis University,Budapest, Hungary www.behsci.sote.hu October 26, 200 7, Veszprém. Successful women in earlier centuries .

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Empowerment of women in transforming societies, chall e nges and difficulties

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  1. Empowerment of women in transforming societies, challenges and difficulties Maria S Kopp MD, PhD, Institute of Behavioural Sciences, Semmelwis University,Budapest, Hungary www.behsci.sote.hu October 26, 2007, Veszprém

  2. Successful women in earlier centuries • In royal families or in religious orders: • St. Magaret of Scotland +1093, granddaughter of Gizella from Bavaria and King Stephan the first king of Hungary, • her father was Edward, son of Anglo-Saxon King, he lived in exil in Hungary under protection of Saint Stephan, and married their daughter, Agatha • Margaret married to „bloody” Malcolm, king of Scotland and she became the true civiliser of her second country according to the examples of King Stephan • every year a Scottish delegation in Pécsvárad, where Margaret was educated

  3. Saint Elisabeth, the patron of Europe • Her father 2 nd Andreas, Hungarian King from the Arpads royal family • Wartburg, Marburg- the saint of charity 1207-1231 • Doctors of the Religion: • Saint Theresa the Great from Avilla • Saint Catharina de Siena

  4. Which are the positive changes? • Earlier interest-driven marriages- XIX. XX. century literature: Ibsen: Nora, Tolstoj: Anna Karenina • High child age mortality rates, high maternal mortality- the Semmelweis saga • Today there is no obligation, the aim is the free life-alliance • Why is it not successful in several cases? • Several traps of communication

  5. Feminist trap: • It is important to acknowledge the results of feminist movements, but • It is not possible to turn the interests of women against the interests of men in the society • Finnish example in North Karelia – lets save our husbands! • Similar programme in Hungary today- initiated by our research results in Weekly of Women • Familist approach, not feminist is needed

  6. The good family is the most important health promoting factor • In the modern society it is more important- the uncertenity of the society • The hostile, agressive family is a most important risk factor for the children and for the partners as well • The support of the families would be one of the most important national health promoting act- • the role of women is fundamental in this respect

  7. The new situation of women: • The education of women is an important health promoting factor for the whole family • The multiple roles of women is a great challange for the women and men as well • The aim: mutually learn from each other • The Norvegian experience- Gro Harlem Brundtland- successful equity regulation

  8. Attachment theory (Bowlby, Imre Hermann) • Physiological, psychological and developmental importance of the early childhood affective mother-child bond and the negative consequences of the disruption of this relationship. • According to follow up studies, insecure attachment predicts later emotional instability and health deterioration. Maltreatment at an early age can have enduring negative effects on a child’s brain development and function, and on his or her vulnerability to stress.

  9. Early life chronic stress: • Phases of disruption of mother-infant or peer bonding: • 1. "protest" behaviour (acute and resistance phases of stress). • 2.“despair”: locomotor inactivity and a disinterst in motivationally salient external stimuli. • 3."detachment""hardwired" in the brain of many social mammals and results in high stress vulnerability

  10. Gender differences in worsening premature mortality rates in Hungary: • Although men and women share the same socio-economic circumstances, there are significant gender differences in worsening mortality rates in Hungary • Socioeconomic differences are more closely connected with male premature mortality rates • What is the explanation for the decreased vulnerability of middle aged women during this period of rapid economic change?

  11. Life expectancy of men in 1965 and 1992 Marmot M : The social pattern of heath and disease In.Health and Social Organization, Edited by D Blane, E Brunner, R Wilkinson Michael

  12. Life expectancy of women in 1965 and 1992

  13. Aggregate mortality according to low versus high education(Mackenbach et al, 1999)

  14. What can explain the opposite changes in gender differences in life expectancy? • In the 1970s no differences in Austrian and Hungarian life expectancy • Life expectancy in Hungary today: • Male 68.2, female 76.5 years-8.3 years differences in Hungary, • In neighbouring Austria: • Male 75.9- they live 7.7 years longer, • Female 81.7- they live 5.2 years longer

  15. Research questions: • Why worsened the health status during economic development? • Men and women share the same socio-economic circumstances,why are middle aged women less vulnerable? • Which chronic stress factors might explain the increased vulnerability of men? • Which are the common final health destructing pathways of socioeconomic and psychosocial stress factors?

  16. National representative surveys in the Hungarian population • The samples represent the Hungarian population above age 18 according to gender, age, county and subregions • Hungarostudy 1983 more than 6000 persons • Hungarostudy 1988 20.902 persons • Hungarostudy 1995 12.463 persons • Hungarostudy 2002 12.640 persons, the refusal rate was 17,7% • Skrabski,Á.Kopp MS, Rózsa S, Réthelyi J, Rahe RH (2005)Life meaning: an important correlate of health int he Hungarian population, International Journal of Behavioral Medicine, 12,2, 78-85.

  17. Hungarostudy 2006 Follow-up study • Among the 12.640 persons in Hungarostudy 2002 those who agreed to participate in the follow up study • 4.689 persons were interviewed again until 2006, 322 persons deceased • 1130 men and 1529 women were included into the present study who in 2002 were between the age of 40-69 • 99 men (8.8%) and 53 women (3.5%) died from the 40-69 years old age groups till 2006 • We analysed the predictors of early death on the basis of Hungarostudy 2002 data of the deceased and survived middle aged people • Kopp MS, Skrabski Á, Székely A, Stauder A, Williams R (in press) Chronic stress and social changes, socioeconomic determination of chronic stress, Annals of NewYork Academy of Sciences

  18. Methods • Logistic regression analyses were used to calculate odds ratios of risk of death up to 2006 in men and women separately, of age 40-69 in 2002. • The effects of socioeconomic factors, work related measures, social support, self-reported physical and mental health and behavioural factors on early death were analysed after adjustment for age, education, smoking, alcohol abuse and BMI.

  19. Measures:

  20. Self-rated health • Self-rated disability • Self-rated health • Treatment because of 25 types of disorders • Illness intrusiveness • Self-rated pain • Sleep complaints • Health care related needs

  21. Education, Income,family income Subjective socioeconomic status Subjective poverty Acces to car Access to personal computer Marital status Chicago collective efficacy score Family environment Housing environment Childhood experiences Self-rated socioeconomic changes Socio-economic and demographic measures:

  22. Work stress measures: • Job security (Rahe, Tolles, 2002) • Control at work (Kopp et al, 2000) • Dissatisfaction with work and with boss (Rahe, Tolles,2002) • Occupational troubles in the last 5 years (Rahe, Tolles, 2002) • Social support at work (Kopp et al, 2000) • The number of working hours per week days and on weekend days • Personal and family income • Employment status

  23. Perceived social support (Caldwell,1987) Anomie- inability for long term planning Eurobarometer study Self-efficacy score (Schwarzer, 1992) Meaning in life (R.Rahe, 2002) Shortened hostility score (Cook-Medley, 1954) Purposes in Life (Crumbaugh, Maholick,1964) Shortened ways of coping (Folkman, Lazarus, 1980) Stress and coping (Rahe, 2002) Dysfunctional attitude score (Weissman,1979) Life events (Rahe, 2002) Marital stress score Social capital measures TCI shortened cooperativeness and sensation seeking Womens health Ethnic identity Religious involvement Psychosocial indicators:

  24. Smoking history Suicidal behaviour Sport- regular physical activity Body weight and height- BMI Alcohol abuse (AUDIT): Morning alcohol consumption Non stop alcohol after beginning Self-blame because of alcohol Drug consumption Health behaviour and lifestyle factors:

  25. Shortened Beck Depression Score WHO Wellbeing (Bech,1996) within WHO cheerfulness Shortened Hopelessness Score (Beck, 2000) Hospital Anxiety Score (HAS) Vital exhaustion (Appels, 1988) Type D Personality (Dennolet, 2000) that is Negative affect (NA) and Behavioral inhibition (BI) Mental health indicators:

  26. Striking gender differences in socioeconomic predictors of premature mortality, increased vulnerability of men in most respects

  27. Socioeconomic factors and the risk(OR) of premature mortality (40-69 years of age in 2002) according to the Hungarostudy Epidemiological Panel (HEP) 2005 follow up study

  28. Socioeconomic factors and the risk(OR) of premature mortality (40-69 years of age in 2002) controlled for age, education, smoking, alcohol abuse and BMI

  29. Socioeconomic factors as predictors of early death: • Education (lower or higher than secondary school) predicted only male premature mortality, the odds ratio was 1.84 for men • Among men subjective poverty, subjective social status were also significant predictors of mortality • Among women only the family related socioeconomic measures were significant predictors of mortality, namely no car and no personal computer in the family – ontological security measures (M. Marmot, 2004)

  30. Gender paradox of subjective social status: • According to ecological analysis of Hungarostudy 2002 data • negative evaluation of subjective social status by women increased significantly the male mid-aged mortality: • r for female SSS and male mid-aged mortality was -.597 p=.000 • That is, the subjective evaluation of the relative social deprivation by women might be a risk factor for male health • But higher education of women was protective for male mid-aged mortality • Kopp MS, Skrabski Á, Kawachi I, Adler NE (2005) Low socioeconomic staus of the opposite gender is a risk factor for middle aged mortality, J. Epidemiology and Community Health59,675-678.

  31. Correlations of male and female social status and male mid aged mortality Korrelációs együtthatók, középkoró férfiak halálozása

  32. Which might be the chronic stressors, that is the „toxic components” of lower socioeconomic situation among men?

  33. Work related factors and the risk(OR) of premature mortality (40-69 years of age in 2002) according to the Hungarostudy Epidemiological Panel (HEP) 2005 follow up study

  34. Work related predictors of early death • Work related factors, first of all job insecurity, low control in work, low personal and family income and low employment grade were significant predictors of early death only among men • Among women only low social support at work was significant predictor of early death, but after controlling for traditional risk factors its effect disappeared

  35. Unpredictability, anomie, demoralization and the risk(OR) of premature mortality (40-69 years of age in 2002) according to the Hungarostudy Epidemiological Panel (HEP) 2005 follow up study

  36. Social support and the risk(OR) of premature mortality (40-69 years of age in 2002) according to the Hungarostudy Epidemiological Panel (HEP) 2005 follow up study

  37. Work related and other psychosocial factors the risk(OR) of premature mortality (40-69 years of age in 2002) controlled for age, education, smoking, alcohol abuse and BMI

  38. Psychosocial stressors as significant predictors of early death among men: • Not living with spouse, no social support from spouse and no social support from child (ren) were highly significant predictors of early death only among men • After controlling the data according to the traditional risk factors among the work related factors, job insecurity remained significant predictor of early death among men • Anomie, that is unpredictability: „ther is no point in making plans for the future”, no meaning in life, rivalry and hopelesness significantly predicted premature male mortality

  39. Psychosocial predictors of early death among women: • Among women dissatisfaction with personal relations, family problems are the most important stressors • In the case of women the broader personal and family relations are the most important health related factors • in these respects there were no fundamental changes during the last decades

  40. The mediating role of mental health between socioeconomic, psychosocial stressors and health deterioration

  41. Mental health and the risk(OR) of premature mortality (40-69 years of age in 2002) controlled for age, education, smoking, alcohol abuse and BMI

  42. Which are the protective factors for women? • Relative economic deprivation, rival attitude and social distrust are all less important risk factors for women • The socio-economic differences are less important regarding the middle aged female mortality differences. • Neighborhood cohesion, religious involvement and reciprocity were not so much influenced by sudden socio-economic changes, therefore the protective network of women remained relatively unchanged.

  43. The most important challanges of the families: • The Hungarian society is family freendly • According to 87.3 % the marriage is the best way of life • according to 70,5% there is no real happiness without children • Basic concept: it would be fundamental to support the birth of the wanted, desired children! • In Hungary today: • No child 2,5 % • One child 11,3 % • Two children 60,3 % • Three children 20,4 % • More children 5,5 %

  44. There is no real happiness without children Pongrácz Tiborné www.dmrek.hu

  45. The number of the wanted and the actual number of children among men younger than 42 years of age, according to education

  46. The number of the wanted and the actual number of children among women younger than 42 years of age, according to education

  47. Negative discrimination of women with higher education: • In low educational strata the number of actual children is the same as the number of wanted children • It would be the task of the society, of the civic organisations to help the highly educated women to have to possibility to give birth to their wanted, desired children • beside the possibility to work in their profession • Most important steps: flexible work, long-distance work • family friendly working places- the achievement might increase

  48. What could be the next steps? • Support the psychological skills for harmonious communication in the families- from childhood to old age • Support the birth of wanted children • Counterbalance the negative discrimination against highly educated women – help of paralell profession and child care • Control the work related stress • Support the mutual trust, life alliance within the familes

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