тэст на аснове кнігі «Spiral Dynamics:
Mastering Values, Leadership, and
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Psychological Analysis of Fear-Based Healthcare Messaging: Comparing HIV/AIDS and COVID-19 Through the Lens of Spiral Dynamics

Dr. Tomás Campbell [1], a member of the BPS Division of Clinical Psychology Faculty for HIV and Sexual Health, article "Towards more inclusive and Empowering Healthcare Campaigns" [2] presents a compelling analysis of the evolution of HIV/AIDS messaging over four decades, tracing a path from fear-based approaches to more empowering, inclusive strategies. This progression reflects significant advances in both medical understanding and psychological approaches to public health communication. 

The SDTEST® survey data on fears provides an excellent opportunity to examine how these evolving messaging strategies align with contemporary fear psychology and value systems as described by Spiral Dynamics theory.


Comparative Analysis of HIV/AIDS and COVID-19 Fear Prevalence


The SDTEST® survey "Fears" involving 3,679 participants across 105 countries reveals that HIV/AIDS now ranks relatively low at 4%, while COVID-19 ranks even lower at just 2%. Below is a abridged version of the survey results. The full results are available for free in the FAQ section after login or registration.


Страхі

краіна
мова
-
Mail
Перастраткаваць
Крытычнае значэнне каэфіцыента карэляцыі
Нармальнае распаўсюджванне, Уільям Сілі Госс (студэнт) r = 0.0317
Нармальнае распаўсюджванне, Уільям Сілі Госс (студэнт) r = 0.0317
Не нармальнае распаўсюджванне, Спірман r = 0.0013
РазмеркаваннеНе
нармальны
Не
нармальны
Не
нармальны
НармальныНармальныНармальныНармальныНармальны
Усе пытанні
Усе пытанні
Мой самы вялікі страх
Мой самы вялікі страх
Answer 1-
Слабы пазітыў
0.0539
Слабы пазітыў
0.0288
Слабы адмоўны
-0.0180
Слабы пазітыў
0.0957
Слабы пазітыў
0.0386
Слабы адмоўны
-0.0179
Слабы адмоўны
-0.1573
Answer 2-
Слабы пазітыў
0.0184
Слабы адмоўны
-0.0051
Слабы адмоўны
-0.0387
Слабы пазітыў
0.0657
Слабы пазітыў
0.0498
Слабы пазітыў
0.0109
Слабы адмоўны
-0.0980
Answer 3-
Слабы пазітыў
7.80E-5
Слабы адмоўны
-0.0089
Слабы адмоўны
-0.0454
Слабы адмоўны
-0.0442
Слабы пазітыў
0.0496
Слабы пазітыў
0.0739
Слабы адмоўны
-0.0212
Answer 4-
Слабы пазітыў
0.0431
Слабы пазітыў
0.0289
Слабы адмоўны
-0.0234
Слабы пазітыў
0.0169
Слабы пазітыў
0.0367
Слабы пазітыў
0.0229
Слабы адмоўны
-0.1000
Answer 5-
Слабы пазітыў
0.0275
Слабы пазітыў
0.1292
Слабы пазітыў
0.0108
Слабы пазітыў
0.0741
Слабы пазітыў
0.0010
Слабы адмоўны
-0.0176
Слабы адмоўны
-0.1777
Answer 6-
Слабы адмоўны
-0.0007
Слабы пазітыў
0.0057
Слабы адмоўны
-0.0613
Слабы адмоўны
-0.0099
Слабы пазітыў
0.0255
Слабы пазітыў
0.0845
Слабы адмоўны
-0.0360
Answer 7-
Слабы пазітыў
0.0116
Слабы пазітыў
0.0343
Слабы адмоўны
-0.0661
Слабы адмоўны
-0.0305
Слабы пазітыў
0.0532
Слабы пазітыў
0.0682
Слабы адмоўны
-0.0536
Answer 8-
Слабы пазітыў
0.0652
Слабы пазітыў
0.0725
Слабы адмоўны
-0.0261
Слабы пазітыў
0.0132
Слабы пазітыў
0.0395
Слабы пазітыў
0.0150
Слабы адмоўны
-0.1350
Answer 9-
Слабы пазітыў
0.0756
Слабы пазітыў
0.1599
Слабы пазітыў
0.0060
Слабы пазітыў
0.0615
Слабы адмоўны
-0.0055
Слабы адмоўны
-0.0491
Слабы адмоўны
-0.1825
Answer 10-
Слабы пазітыў
0.0762
Слабы пазітыў
0.0665
Слабы адмоўны
-0.0130
Слабы пазітыў
0.0272
Слабы пазітыў
0.0364
Слабы адмоўны
-0.0124
Слабы адмоўны
-0.1345
Answer 11-
Слабы пазітыў
0.0639
Слабы пазітыў
0.0522
Слабы адмоўны
-0.0083
Слабы пазітыў
0.0109
Слабы пазітыў
0.0265
Слабы пазітыў
0.0246
Слабы адмоўны
-0.1282
Answer 12-
Слабы пазітыў
0.0444
Слабы пазітыў
0.0939
Слабы адмоўны
-0.0330
Слабы пазітыў
0.0317
Слабы пазітыў
0.0352
Слабы пазітыў
0.0258
Слабы адмоўны
-0.1536
Answer 13-
Слабы пазітыў
0.0725
Слабы пазітыў
0.0945
Слабы адмоўны
-0.0395
Слабы пазітыў
0.0275
Слабы пазітыў
0.0448
Слабы пазітыў
0.0144
Слабы адмоўны
-0.1639
Answer 14-
Слабы пазітыў
0.0820
Слабы пазітыў
0.0892
Слабы адмоўны
-0.0039
Слабы адмоўны
-0.0118
Слабы пазітыў
0.0064
Слабы пазітыў
0.0139
Слабы адмоўны
-0.1214
Answer 15-
Слабы пазітыў
0.0546
Слабы пазітыў
0.1262
Слабы адмоўны
-0.0338
Слабы пазітыў
0.0124
Слабы адмоўны
-0.0143
Слабы пазітыў
0.0239
Слабы адмоўны
-0.1160
Answer 16-
Слабы пазітыў
0.0725
Слабы пазітыў
0.0230
Слабы адмоўны
-0.0382
Слабы адмоўны
-0.0385
Слабы пазітыў
0.0729
Слабы пазітыў
0.0183
Слабы адмоўны
-0.0778


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This modest fear prevalence contrasts sharply with the historical positioning of HIV/AIDS as a primary existential threat during the 1980s-90s. As the article aptly notes, early HIV/AIDS campaigns relied heavily on fear-based messaging, leveraging protection-motivation theory to drive behavioral change through graphic depictions of mortality and disease. The current survey results suggest these diseases have been partially normalized in the public consciousness, supporting the article's observation that medical advancements have transformed HIV from a death sentence to a manageable chronic condition.


When examining broader fear contexts, it's noteworthy that personal concerns about "illness of relatives and children" (11%) and general "illness" (8%) outrank specific disease fears like HIV/AIDS or COVID-19. This pattern indicates that abstract illness threats generate more anxiety than particular diseases that have been subject to extensive public education campaigns. This finding aligns with the article's discussion of how healthcare messaging has evolved toward destigmatization and normalization, particularly for HIV/AIDS.


Spiral Dynamics Correlations: Understanding Value Systems and Fear Responses


The correlation data between disease fears and Spiral Dynamics stages provides fascinating insights into how different value systems engage with health threats. HIV/AIDS shows a positive correlation (0.0662) with Orange-level thinking, which represents achievement-oriented, strategic value systems. This alignment makes psychological sense, as Orange thinking prioritizes personal agency and risk management. Individuals operating from this value system may respond more actively to diseases perceived as consequences of personal behavior choices.


Conversely, HIV/AIDS fears correlate negatively with Yellow (-0.0516) and more strongly with Turquoise (-0.1776) value systems. These second-tier thinking systems in Spiral Dynamics represent more complex, integrative worldviews that may contextualize disease within a broader systemic understanding. The stronger negative correlation with Turquoise thinking is particularly notable, as this holistic perspective tends to integrate mortality and vulnerability into a comprehensive worldview, potentially reducing fear responses to specific conditions.


For COVID-19, the correlation pattern differs significantly. The positive correlation with Green thinking (0.0637) suggests that communitarian, egalitarian value systems may experience heightened concern about highly communicable diseases that threaten community well-being. This aligns with the article's discussion of how modern healthcare campaigns increasingly emphasize collective responsibility and community protection. The negative correlations with Blue (-0.0342), Orange (-0.0409), and Turquoise (-0.0748) value systems suggest varied psychological responses across the spiral.


Implications for Evolving Healthcare Messaging


The article chronicles a shift from fear-based campaigns toward empowerment and behavioral strategies, noting how psychological frameworks like self-efficacy theory and social norm theory have informed this evolution. The SDTEST® data supports the efficacy of this shift by demonstrating relatively low fear ratings for HIV/AIDS despite its historical stigma. This suggests that destigmatizing, empowering messaging approaches may have successfully normalized the condition in public consciousness.


The varying correlations between fears and Spiral Dynamics stages also validate the article's emphasis on intersectionality and tailored messaging. Different value systems appear to process disease threats through distinct psychological frameworks, which has significant implications for public health communication. The article notes that "campaigns are now much more carefully designed to address diverse populations," which aligns with the need to consider value system diversity in designing effective interventions.


Advancing Psychologically Informed Healthcare Communications


The relatively weak correlation between disease fears and specific Spiral Dynamics stages (with the critical value of the correlation coefficient for a normal distribution, by William Sealy Gosset (Student) r = 0.0323) suggests that fears of HIV/AIDS and COVID-19 transcend value systems but manifest differently within them. This finding supports the article's conclusion that messaging must "remain effective, compassionate, and mindful of nuance." The positive correlation between HIV/AIDS fears and Orange thinking, contrasted with COVID-19's positive correlation with Green thinking, demonstrates how different diseases activate different value concerns.


The article's discussion of digital and social media platforms as vectors for modern healthcare messaging presents opportunities for even more targeted value-specific communications. Understanding the psychological frameworks through which different Spiral Dynamics stages process health information could enable micro-targeted campaigns that resonate more effectively with diverse audiences. For instance, messaging aimed at Orange-dominant thinkers might emphasize personal agency and achievement in health management, while Green-focused messaging might highlight community protection and collective responsibility.


Conclusion


The evolution of HIV/AIDS messaging described in the article reflects a sophisticated understanding of psychological principles, moving from protection-motivation theory toward self-efficacy and social norm approaches. The SDTEST® data validates this progression by showing relatively modest contemporary fear responses to HIV/AIDS despite its historical stigmatization. The correlation patterns between disease fears and Spiral Dynamics stages provide valuable insights for further refining healthcare communications to resonate with different value systems.


The comparative data between HIV/AIDS and COVID-19 fears, particularly their different correlation patterns with Spiral Dynamics stages, suggests that disease characteristics interact with value systems to produce distinct psychological responses. As the article argues, effective healthcare campaigns must continue to evolve based on evidence rather than prejudice. The SDTEST® data offers this evidence, demonstrating how fears of specific conditions correlate with different psychological frameworks and value systems.


This integration of fear psychology, mathematical correlation, and Spiral Dynamics theory provides a robust foundation for developing increasingly sophisticated, psychologically informed healthcare messaging strategies that can effectively engage diverse populations across the spiral of human development.



Sources

[1] https://www.linkedin.com/in/tomas-campbell-40202785/
[2] https://www.bps.org.uk/blog/towards-more-inclusive-and-empowering-healthcare-campaigns


2025.02.28
Valerii Kosenko
Уладальнік прадукту SaaS SDTEST®

Валерый атрымаў кваліфікацыю сацыяльнага педагога-псіхолага ў 1993 годзе і з тых часоў прымяняе свае веды ў кіраванні праектамі.
Валерый атрымаў ступень магістра і кваліфікацыю менеджара праектаў і праграм у 2013 годзе. Падчас навучання ў магістратуры ён пазнаёміўся з праектамі Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) і Spiral Dynamics.
Валерый з'яўляецца аўтарам даследавання нявызначанасці V.U.C.A. канцэпцыі выкарыстання спіральнай дынамікі і матэматычнай статыстыкі ў псіхалогіі, а таксама 38 міжнародных апытанняў.
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