TY - JOUR
T1 - Quantifying ecological intelligence
T2 - building metrics for the green brain capital model - a systematic review
AU - Abdelraheem, Omnia Mahmoud
AU - Ikiz, Burcin
AU - Chun, Sungsoo
AU - Eyre, Harris
AU - Salama, Mohamed
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY-NC. Published by BMJ Group.
PY - 2025/3/17
Y1 - 2025/3/17
N2 - Question The Green Brain Capital Model emphasises the bidirectional relationship between brain health and the environment, making it an environmentally focused type of brain capital. This work represents the initial stage of conceptualising the Green Brain Capital Model, which is essential to avoid ambiguity and misinterpretation while developing a quantitative model. Ecological intelligence (EI) is identified as a key component of the model in the literature. Therefore, the objective of this review was to systematically review the literature to define EI, its features and quantitative assessment tools, to develop comprehensive metrics for Green Brain Capital. Study selection and analysis We conducted a search in Scopus, ScienceDirect and Scopus secondary literature and identified 11 articles that provide definitions of EI and quantitative tools to assess it. Findings The study revealed that EI is a multifaceted concept with cognitive, affective and behavioural domains. Seven quantitative tools for measuring EI were identified, with the Ecological Intelligence Measurement Tool by Okur-Berberoglu and the Ecological Intelligence Scale by Akkuzu, demonstrating strong theoretical grounding, reliability and validity. Additionally, our review included searching open-access databases provided by reputable organisations, but no indicators for the assessment of EI were found in these databases. Conclusions All the available tools were designed to assess EI at the individual level and for research purposes within certain cultural contexts. There is a lack of global indicators reflecting countries' EI development status and global positioning. Establishing country-level indicators across EI domains is essential for policymaking and public awareness.
AB - Question The Green Brain Capital Model emphasises the bidirectional relationship between brain health and the environment, making it an environmentally focused type of brain capital. This work represents the initial stage of conceptualising the Green Brain Capital Model, which is essential to avoid ambiguity and misinterpretation while developing a quantitative model. Ecological intelligence (EI) is identified as a key component of the model in the literature. Therefore, the objective of this review was to systematically review the literature to define EI, its features and quantitative assessment tools, to develop comprehensive metrics for Green Brain Capital. Study selection and analysis We conducted a search in Scopus, ScienceDirect and Scopus secondary literature and identified 11 articles that provide definitions of EI and quantitative tools to assess it. Findings The study revealed that EI is a multifaceted concept with cognitive, affective and behavioural domains. Seven quantitative tools for measuring EI were identified, with the Ecological Intelligence Measurement Tool by Okur-Berberoglu and the Ecological Intelligence Scale by Akkuzu, demonstrating strong theoretical grounding, reliability and validity. Additionally, our review included searching open-access databases provided by reputable organisations, but no indicators for the assessment of EI were found in these databases. Conclusions All the available tools were designed to assess EI at the individual level and for research purposes within certain cultural contexts. There is a lack of global indicators reflecting countries' EI development status and global positioning. Establishing country-level indicators across EI domains is essential for policymaking and public awareness.
KW - Cross-Sectional Studies
KW - Data Interpretation, Statistical
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U2 - 10.1136/bmjment-2024-301317
DO - 10.1136/bmjment-2024-301317
M3 - Article
C2 - 40097196
AN - SCOPUS:105000732795
SN - 2755-9734
VL - 28
JO - BMJ Mental Health
JF - BMJ Mental Health
IS - 1
M1 - 301317
ER -