resilience to adversity Flashcards

1
Q

what is adversity?

A
  • Clinical trauma vs sever stressors/adversity
  • Traumatic events (DSM5) ‘exposure to actual or threatened death, serious injury or sexual violence’
  • -ve & severely stressful major life events that disrupt & impact quality of life e.g. divorce, job loss
  • Resilience research has examined a wide diversity of severely stressful events
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2
Q

what is resilience

A
  • Multiple definitions: all involve a +ve response/adaptation to -ve circumstances
  • An outcome pattern characterised by a stable trajectory of healthy functioning after adversity (Bonanno, 2004)
  • Ability to ‘bounce back’ & flexibly adapt to changing demands of -ve life situations (Tugade & Fredrickson, 2004)

how you define matters - how you measure it

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3
Q

how is resilience measured?

A
  • resilience questionnaires
  • resilience trajectory
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4
Q

resilience questionnaires

A
  • measured like a trait
  • questions about how you generally react to stressors
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5
Q

resilience trajectory

A
  • measured after event
  • identifies ppl that show a resilient outcome pattern over time
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6
Q

reactions to adversity

A
  • resilience - never leave mild symptom range (stability)
  • recovery - moderate/severe reactions which decreases over time
  • delayed - symptoms increase over time
  • chronic - stays in severe category

other ppl would say resilience is the ability to bounce back

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7
Q

resilience as a new concept

A
  • historically viewed as a rare occurence = absent grief
  • Bonanno (2004) - bereavement theorists viewed absent grief as a rare & pathological reaction
  • BUT research contradicts this assumption
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8
Q

bonanno et al. (2002)

resilience prevalence in bereavement

A
  • prospective study on spousal loss
  • outcome pattern: resilience, common grief, chronic grief
  • prevalence: resilient –> common grief –> chronic grief
  • no ev of marriage difficulties
  • resilient ppl still affected by bereavement: yearning, emotional upset, intrusive thoughts, disturbances in sleep but not at a level impacting too much
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9
Q

latent growth micture modelling

LGMM

A
  • identifies sub-populations in data
  • allows examination of diff outcome trajectories for each sub-group
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10
Q

prevalence in spousal loss

A
  • subjective well-being as outcome measure (instead of resilience)
  • LGMM showed 4-class solution best fit to data
  • resilient group - small dip but stay high functioning
  • acute recovery group - decrease before loss but increase towards original level
  • chronic low group - low functioning, dips and stays low
  • improved group - increase at loss and then decreases towards original level
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11
Q

prevalence in divorce

LGMM

A
  • SWB used
  • 3-class solution best fit to data
  • resilient - stay high functioning whole time
  • moderate increasing - decrease towards divorce & increasing 2-4yrs after divorce
  • low increasing - moderate functioning rapidly increasing after divorce
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12
Q

is resilience the common trajectory?

norris et al. (2009)

A
  • 9/11 and floods in mexico
  • PTSD symptoms measured post-disaster
  • resilience = adaptability
  • resistance = stability
  • no diffs in resistance & stability in mexico
  • diffs in resistance & stability in US
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13
Q

how common is resilience?

infurna & luthar (2016)

A
  • LGMM using SEOP data
  • 3 models: (A) same as prior studies, (B) variance but show same patterns, (C) ‘bouncing back’ but at diff times
  • spousal loss: A resilient most prevalent, B recovery most prevalent, C equal split between resilience & recovery
  • divorce: A resilient most prevalent, dropped when model specifications changed (B&C)
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14
Q

resilience in longitudinal studies

A
  • Operationalisation of resilience is often data-driven in longitudinal designs
  • Resilience is not measured directly, but inferred from an adaptive response over time
  • Resilience = absence of depression symptoms, reduction in PTSD symptoms, stable pattern of subjective well-being
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15
Q

defining resilience: systematic review

cosco et al. (2017)

A
  • inclusion criteria: longitudinal data, operationalised & measured resilience, published peer-reviewed research
  • measured in 3 ways: psychometric questionnaires, definition-driven methods, data-driven methods
  • Most studies defined resilience as the absence of distress/impairment, not maintenance of well-being
  • Although stats inform how trajectories are identified, researchers still have to interpret & label the trajectories
  • Data driven methods for trajectory identification are based on the characteristics of the sample & may not generalise to other samples
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16
Q

is resilience multidimensional?

infurna & luthar (2017)

A
  • most research has examined resilience as single outcome trajectories
  • Ppl might show resilient responses in some domains of life, but show less in other domains
  • Investigation of the multidimensional nature of resilience is important to test the extent that resilience is a common outcome
17
Q

mutlidimensional resilient outcomes

infurna & luthar (2017)

A
  • analysis of 13 waves of existing longitudinal data
  • widowed during study
  • Selected multiple domains of adjustment: life satisfaction, +ve emotions, -ve emotions, general health, physical functioning in multiple daily activities
  • resilient outcome trajectories were defined as stable good functioning over time
  • resilience only the most common outcome for life satisfaction
  • only 8% of sample classified as showing a resilient trajectory across all 5 domains of functioning