Stress. Kauai study. Resilience background. Resilience and it s central characteristics, how could we use it? A discussion

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Resilience and it s central characteristics, how could we use it? A discussion University of Brighton, England 2012 Odin Hjemdal Professor/clinical psychologist Department of Psychology Norwegian University of Science and Technology, Trondheim, Norway Norwegian University of Science and Technology Stress Resilience background Developmental psychopathology Started as a developmental perspective to understand psychopathology Studies of risk factors among children and adolescents Intention: increase knowledge of the relation between factors that otherwise seem unrealted Conclusions were that increased psychosocial risk factors increased the risk for developing psychopathology Kauai study All children born in 1955 on an island at Hawaii were screened In all, 698 children 210 children were evaluated to be in a high risk group At the age of 2 years they were exposed to atleased four risk factors Poverty Perinatal health problems Congential deformations Mothers with low educational levels Alcoholism Violence, little stability and peace Mental disorders among their parents At 18 years of age 72 of the children in the high risk group were doing fine 1

Main results from resilience research Longitudinal prospective studies found that a significant part of participants did not develop psychopathology depsite having been exposed substantial stress Why? New focus Protection Vulnerability and risk Resilience Relative good result despite experiences with situations that have been shown to carry substantial risk for the development of psychopathology Rutter (2000) A pattern of active participation and mastering of competences relevant for stages of development, age, culture and historical setting despite experiences that have been shown to carry substantial risk for the development of psychopathology Consensus among researchers 1. Personal dispostions 2. Family coherence 3. Positive support from outside the family 4. (Society and Culture) Socioecological perspective Childs characteristic Relation Environmental characteristics Microsystem The child Mesosystem Relations in close environment Ecsosystem Relation to close society Macrosystem Society, culture, economy, ideology, politics Bronfenbrenner (1977) 2

Protective factors I 1. Personal attribution Autonomy, self-efficacy Self-confidence, positive self-constructs Flexibility Positive social orientation More empathic, humour Higher level of inner locus of control Orientation toward achievement Good abilities to plan and organize Experience with sucessful strategies Average or higher IQ Realistic experiences Protective factors II 2. Family coherence Warmth and emotional support Trusting relation toward one of the parents or care person, (secure attachment) Clear and consistent rules and norms in the family They are good at getting social support from each other or partners They work harder to solve conflicts also within the marriage There is a general absence of discord Protective factors III 3. Positive support from outside the family Reinforces and encourages attempts of mastery One close person outside the family that is available in times of crises Supporting educational environment Hobbies that demand social interaction and cooperation Living environment characterized by cohesion (solidarity) and few conflicts Critic toward resilience research Definitions are ambiguous Different studies use different measures, or screening instruments Design in the studies are inconsistent Many studies do not capture the dynamic interaction between system and time E.g. in transactional models of risk and result Overview of resilience findings The same variables and processes have been identified in different studies with different methods and designs Timing Window of possibilities for transformation from vulnerability to mastery Interventions Multi level: Child, family, school, local residence environment, larger society level with mass media 3

Advantages of measures Is it possible to measure resilience related protection? 1. Indication of protective resources for groups/individuals 2. Screen large samples for subgroups of special interest (e.g. for longitudinal studies) 3. Track changes in protective factors 4. Facilitates experimental studies (Disadvantages?) Developing process of the Resilience Scale for Adults RESILIENCE SCALE FOR ADULTS (RSA) Content validity: Definition: Relative good outcome despite exposure to situations known to carry significant risk for development of psychopathology (Rutter, 2000) 1. Personal dispositions 2. Family coherence 3. Social support from outside the family (Garmezy, 1985; Werner, 1993, Rutter, 1985) Wagnhild og Youngs (1993) Resilience Scale Developed for elderly Contained only items related to personal dispositions Our aim was to explore the general adult population Resilience review Identification of protective factors through a literature review (1998) 15 categories 1. Personal competence 9. Education /professional life 2. Self-efficacy 10. Religion 3. Internal control (LOC) 11. Structured life 4. Temperament 12. Social support 5. Hope 13. Family cohesion 6. Ego-strength 14. Problem solving abilities 7. Self actualization 15. Exposure to stress 8. Social competence Generation of resilience items 295 items. All positively phrased, Likert items Resilience research is characterized by presence of protective factors not absence of risk factors But, measures of absence of disorders is highly relevant for samples with high risk for disorders Reviews of face validity and readability 3 assistant professors/ clinical psychologist, 8 psychology students, 5 others non-related to psychology 100 items were deleted, 195 were retained 4

Pilot study 195 items were distributed in Tromsø, Norway Explorative factor analysis 38 factors satisfied the Kaisers criterion with an eigenvalue > 1.0. These explained 81% of the total variance Gave no theoretical meaning A graphical plot of the factor solution (Scree-plot), which indicates the relative significance showed a significant curve on the 5. dimension Pilot study - reliability Five factor solution α number of items Personal competence.92 16 Social competence.92 12 Structured style.74 4 Family cohesion.84 5 Social Resouces.88 9 Total.93 45 Hjemdal, Friborg, Martinussen, & Rosenvinge (2001) Construct validity (N = 648) Correlations Instruments PC SC SS FC SR Sense of.70.36.52.55.55 Coherence Optimism.68.48.40.42.53 Active coping.42.28.28.23.30 Satisfaction w/life.62.31.43.51.48 Avoidance coping -.16 -.21 -.18 -.21 -.28 Wishful Thinking -.35 n.s -.29 -.20 -.15 Symptoms, SCL -.67 -.31 -.43 -.50 -.46 (Friborg, & Hjemdal, 2004) Construct validity Differences Comparing psychiatric out-patients (N = 60) with a normal sample (N = 276) Personal competence t = 9.25*** Social competence t = 3.30** Family coherence t = 5.33*** Social resources t = 2.12* Structured style t = 3.38*** RSA total t = 7.78*** (Friborg, Hjemdal, Rosenvinge, & Martinussen, 2003) RSA and number of factors Confirmatory factor analyses (N1 = 482 and N2 = 201) Remaining 33 items Six factors (S-B χ 2 (34) = 46.92, p =.07, RMSEA =.030) (RMSEA ranging from.013 to.042) α1 α2 items 1. Perception of self.70.81 6 2. Planned future.66.78 4 3. Social competence.76.75 6 4. Structured style.69.67 4 5. Family cohesion.78.79 6 6. Social resources.69.77 7 Predictive validity Prospective study of students with two measuring points, three months apart (N = 159) Measures: Hopkins symptoms checklist (HSCL-25) Stressful Life Event (SLE 18 items) Resilience Scale for Adults (RSA) 5

Resilience just absence of vulnerability and disorder? Protection and risk essentially the same? N = 1724 (Friborg, Hjemdal, Martinussen & Rosenvinge, 2009) Exploratory principal components analysis Spesified to 9 factors Hospital Anxiety and Depression Scale (HADS) (Zigmond & Snaith, (1983) Two factors Habitual Index of Negative Thinking (HINT) (Verplanken & Orbell, 2003) One factor RSA six factors RSA Brazil (N = 221) Initial indications of cross-cultural validity using confirmatory factor analysis Absolute fit Chi-square = 929.272 Degrees of freedom = 480 p =.000 Relative fit RMSEA =.065 RSA Belgium (N = 385) Absolute fit Chi-square = 895.65 Degrees of freedom= 480 p =.000 Relative fit RMSEA =.047 RMSEA og SRMR (Beauducel & Wittman, 2005) (Hjemdal, Friborg, Braun, Kempenaers, Linkowski, & Fossion, 2011). (Hjemdal, Roazzi, Dias, & Vikan, 2009). 6

RESILIENCE SCALE FOR ADOLESCENTS (READ) Resilience Scale for Adolescents (READ) It is based on Resilience scale for Adults Items were accommodated adolescents to optimize comprehension and readability based on feedback from adolescence in a pilot project odin.hjemdal@svt.ntnu.no Resilience for adolescents and adults Adolescents 28 items Adults 33 items Resilience as a predictor for depressive symptoms Participants 387 adolescents Correlational designs 1. Personal competence 2. Social competence 3. Structured style 4. Family cohesion 5. Social resources (Hjemdal, Friborg, Stiles, Martinussen, & Rosenvinge, 2006) 1. Percpetion of self 2. Planned future 3. Social competence 4. Structured style 5. Family cohesion 6. Social resources (Hjemdal, et al 2006, 2007; Friborg, et al 2006) odin.hjemdal@svt.ntnu.no Results Higher scores on READ total score and all factor scores predict lower levels of depressive symptoms Even when controlling for age, gender, negative life events, bullying and social anxiety symptoms (Hjemdal, Aune, Reinfjell, Stiles, Friborg, 2007) READ as a predictor for depressive symptoms READ in young adult sample N = 6723, 18-20 years Expected negative significant correlation with anxiety, depression, suicidal ideation, self harm Expected positive significant correlation with close friendship, evaluation of general health, parental care (von Soest, Mossinge, Stefansen, & Hjemdal, 2010). 7

READ and anxiety, depression, and obsessive-compulsive symptoms in adolescents N = 307 Norwegian high school students (M = 16.4 years) Results: Higher resilience scores predicted lower scores on levels of depression, anxiety, stress and obsessive compulsive symptoms after controlling for age and gender Strengths and weaknesses RSA Established psychometrics and validity in Norwegian samples Initial indications cross-cultural validation READ Adequate psychometrics and validity in Norwegian samples Based on a solid foundation (RSA) (Hjemdal, Vogel, Solem, Hagen, Stiles, 2011). Strengths and weaknesses General weakness of resilience Incertitude with regards to plasticity of the construct resilience (trait vs. stait) Incertitude with regards to RSA and READ if they are sensitive to change The total scores may hide many different possible combinations of adaptive protection Ongoing research projects Adults Diverse cross-cultural validations The significance of resilience factors in several psychological treatment projects Adolescents Diverse cross-cultural validations Intervention project in prevention of social anxiety disorder The significance of resilience factors in psychological treatments of psychological problems Childs characteristic Relation Environmental characteristics Thank you for your attention Personality Appearance Cognitive competence Educational competence Physical competence Social competence Self perception Motivation Temperament Flexibility Children as Stimulus Processor Participant Attachement Adaptation Transactions Age and historical influence. Life events Social network Physical design Emotional climate Norms and expectations Social control and support odin.hjemdal@svt.ntnu.no 8