Cargando…

Researching Multisystemic Resilience: A Sample Methodology

In contexts of exposure to atypical stress or adversity, individual and collective resilience refers to the process of sustaining wellbeing by leveraging biological, psychological, social and environmental protective and promotive factors and processes (PPFPs). This multisystemic understanding of re...

Descripción completa

Detalles Bibliográficos
Autores principales: Ungar, Michael, Theron, Linda, Murphy, Kathleen, Jefferies, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835509/
https://www.ncbi.nlm.nih.gov/pubmed/33510683
http://dx.doi.org/10.3389/fpsyg.2020.607994
_version_ 1783642542765506560
author Ungar, Michael
Theron, Linda
Murphy, Kathleen
Jefferies, Philip
author_facet Ungar, Michael
Theron, Linda
Murphy, Kathleen
Jefferies, Philip
author_sort Ungar, Michael
collection PubMed
description In contexts of exposure to atypical stress or adversity, individual and collective resilience refers to the process of sustaining wellbeing by leveraging biological, psychological, social and environmental protective and promotive factors and processes (PPFPs). This multisystemic understanding of resilience is generating significant interest but has been difficult to operationalize in psychological research where studies tend to address only one or two systems at a time, often with a primary focus on individual coping strategies. We show how multiple systems implicated in human resilience can be researched in the same study using a longitudinal, six-phase transformative sequential mixed methods study of 14- to 24-year-olds and their elders in two communities dependent on oil and gas industries (Drayton Valley, Canada, and Secunda/eMbalenhle, South Africa). Data collection occurred over a 5-year period, and included: (1) community engagement and the identification of youth health and well-being priorities; (2) participatory youth-centric qualitative research using one-on-one semi-structured interviews and arts-based methods; (3) survey of 500 youth at three time points to assess psychosocial health indicators and outcomes; (4) collection of hair samples to assess stress biomarkers (cortisol and dehydroepiandrosterone-DHEA) over time; (5) youth-led ecological data collection and assessment of historical socio-economic development data; and (6) community resource mapping with community elders. Analyzing data from these multiple systems will allow us to understand the interrelationship and impact of PPFPs within and across systems. To date, we have undertaken thematic and narrative qualitative analyses, and descriptive analyses of the preliminary ecological and survey data. As we proceed, we will combine these and grounded theory approaches with innovative techniques such as latent transition analysis and network analysis, as well as modeling of economic conditions and spatial analysis of human geographies to understand patterns of PPFPs and their inter-relationships. By analyzing the complexity of data collected across systems (including cultural contexts) we are demonstrating the possibility of conducting multisystemic resilience research which expands the way psychological research accounts for positive development under stress in different contexts. This comprehensive examination of resilience may offer an example of how the study of resilience can inform socially and contextually relevant interventions and policies.
format Online
Article
Text
id pubmed-7835509
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-78355092021-01-27 Researching Multisystemic Resilience: A Sample Methodology Ungar, Michael Theron, Linda Murphy, Kathleen Jefferies, Philip Front Psychol Psychology In contexts of exposure to atypical stress or adversity, individual and collective resilience refers to the process of sustaining wellbeing by leveraging biological, psychological, social and environmental protective and promotive factors and processes (PPFPs). This multisystemic understanding of resilience is generating significant interest but has been difficult to operationalize in psychological research where studies tend to address only one or two systems at a time, often with a primary focus on individual coping strategies. We show how multiple systems implicated in human resilience can be researched in the same study using a longitudinal, six-phase transformative sequential mixed methods study of 14- to 24-year-olds and their elders in two communities dependent on oil and gas industries (Drayton Valley, Canada, and Secunda/eMbalenhle, South Africa). Data collection occurred over a 5-year period, and included: (1) community engagement and the identification of youth health and well-being priorities; (2) participatory youth-centric qualitative research using one-on-one semi-structured interviews and arts-based methods; (3) survey of 500 youth at three time points to assess psychosocial health indicators and outcomes; (4) collection of hair samples to assess stress biomarkers (cortisol and dehydroepiandrosterone-DHEA) over time; (5) youth-led ecological data collection and assessment of historical socio-economic development data; and (6) community resource mapping with community elders. Analyzing data from these multiple systems will allow us to understand the interrelationship and impact of PPFPs within and across systems. To date, we have undertaken thematic and narrative qualitative analyses, and descriptive analyses of the preliminary ecological and survey data. As we proceed, we will combine these and grounded theory approaches with innovative techniques such as latent transition analysis and network analysis, as well as modeling of economic conditions and spatial analysis of human geographies to understand patterns of PPFPs and their inter-relationships. By analyzing the complexity of data collected across systems (including cultural contexts) we are demonstrating the possibility of conducting multisystemic resilience research which expands the way psychological research accounts for positive development under stress in different contexts. This comprehensive examination of resilience may offer an example of how the study of resilience can inform socially and contextually relevant interventions and policies. Frontiers Media S.A. 2021-01-12 /pmc/articles/PMC7835509/ /pubmed/33510683 http://dx.doi.org/10.3389/fpsyg.2020.607994 Text en Copyright © 2021 Ungar, Theron, Murphy and Jefferies. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Ungar, Michael
Theron, Linda
Murphy, Kathleen
Jefferies, Philip
Researching Multisystemic Resilience: A Sample Methodology
title Researching Multisystemic Resilience: A Sample Methodology
title_full Researching Multisystemic Resilience: A Sample Methodology
title_fullStr Researching Multisystemic Resilience: A Sample Methodology
title_full_unstemmed Researching Multisystemic Resilience: A Sample Methodology
title_short Researching Multisystemic Resilience: A Sample Methodology
title_sort researching multisystemic resilience: a sample methodology
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835509/
https://www.ncbi.nlm.nih.gov/pubmed/33510683
http://dx.doi.org/10.3389/fpsyg.2020.607994
work_keys_str_mv AT ungarmichael researchingmultisystemicresilienceasamplemethodology
AT theronlinda researchingmultisystemicresilienceasamplemethodology
AT murphykathleen researchingmultisystemicresilienceasamplemethodology
AT jefferiesphilip researchingmultisystemicresilienceasamplemethodology