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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.


Strach

Země
Jazyk
-
Mail
Přepočítat
Kritická hodnota korelačního koeficientu
Normální rozdělení, William Sealy Gosset (student) r = 0.0317
Normální rozdělení, William Sealy Gosset (student) r = 0.0317
Ne normální rozdělení, Spearman r = 0.0013
RozděleníNe
normální
Ne
normální
Ne
normální
NormálníNormálníNormálníNormálníNormální
Všechny otázky
Všechny otázky
Můj největší strach je
Můj největší strach je
Answer 1-
Slabý pozitivní
0.0539
Slabý pozitivní
0.0288
Slabý negativní
-0.0180
Slabý pozitivní
0.0957
Slabý pozitivní
0.0386
Slabý negativní
-0.0179
Slabý negativní
-0.1573
Answer 2-
Slabý pozitivní
0.0184
Slabý negativní
-0.0051
Slabý negativní
-0.0387
Slabý pozitivní
0.0657
Slabý pozitivní
0.0498
Slabý pozitivní
0.0109
Slabý negativní
-0.0980
Answer 3-
Slabý pozitivní
7.80E-5
Slabý negativní
-0.0089
Slabý negativní
-0.0454
Slabý negativní
-0.0442
Slabý pozitivní
0.0496
Slabý pozitivní
0.0739
Slabý negativní
-0.0212
Answer 4-
Slabý pozitivní
0.0431
Slabý pozitivní
0.0289
Slabý negativní
-0.0234
Slabý pozitivní
0.0169
Slabý pozitivní
0.0367
Slabý pozitivní
0.0229
Slabý negativní
-0.1000
Answer 5-
Slabý pozitivní
0.0275
Slabý pozitivní
0.1292
Slabý pozitivní
0.0108
Slabý pozitivní
0.0741
Slabý pozitivní
0.0010
Slabý negativní
-0.0176
Slabý negativní
-0.1777
Answer 6-
Slabý negativní
-0.0007
Slabý pozitivní
0.0057
Slabý negativní
-0.0613
Slabý negativní
-0.0099
Slabý pozitivní
0.0255
Slabý pozitivní
0.0845
Slabý negativní
-0.0360
Answer 7-
Slabý pozitivní
0.0116
Slabý pozitivní
0.0343
Slabý negativní
-0.0661
Slabý negativní
-0.0305
Slabý pozitivní
0.0532
Slabý pozitivní
0.0682
Slabý negativní
-0.0536
Answer 8-
Slabý pozitivní
0.0652
Slabý pozitivní
0.0725
Slabý negativní
-0.0261
Slabý pozitivní
0.0132
Slabý pozitivní
0.0395
Slabý pozitivní
0.0150
Slabý negativní
-0.1350
Answer 9-
Slabý pozitivní
0.0756
Slabý pozitivní
0.1599
Slabý pozitivní
0.0060
Slabý pozitivní
0.0615
Slabý negativní
-0.0055
Slabý negativní
-0.0491
Slabý negativní
-0.1825
Answer 10-
Slabý pozitivní
0.0762
Slabý pozitivní
0.0665
Slabý negativní
-0.0130
Slabý pozitivní
0.0272
Slabý pozitivní
0.0364
Slabý negativní
-0.0124
Slabý negativní
-0.1345
Answer 11-
Slabý pozitivní
0.0639
Slabý pozitivní
0.0522
Slabý negativní
-0.0083
Slabý pozitivní
0.0109
Slabý pozitivní
0.0265
Slabý pozitivní
0.0246
Slabý negativní
-0.1282
Answer 12-
Slabý pozitivní
0.0444
Slabý pozitivní
0.0939
Slabý negativní
-0.0330
Slabý pozitivní
0.0317
Slabý pozitivní
0.0352
Slabý pozitivní
0.0258
Slabý negativní
-0.1536
Answer 13-
Slabý pozitivní
0.0725
Slabý pozitivní
0.0945
Slabý negativní
-0.0395
Slabý pozitivní
0.0275
Slabý pozitivní
0.0448
Slabý pozitivní
0.0144
Slabý negativní
-0.1639
Answer 14-
Slabý pozitivní
0.0820
Slabý pozitivní
0.0892
Slabý negativní
-0.0039
Slabý negativní
-0.0118
Slabý pozitivní
0.0064
Slabý pozitivní
0.0139
Slabý negativní
-0.1214
Answer 15-
Slabý pozitivní
0.0546
Slabý pozitivní
0.1262
Slabý negativní
-0.0338
Slabý pozitivní
0.0124
Slabý negativní
-0.0143
Slabý pozitivní
0.0239
Slabý negativní
-0.1160
Answer 16-
Slabý pozitivní
0.0725
Slabý pozitivní
0.0230
Slabý negativní
-0.0382
Slabý negativní
-0.0385
Slabý pozitivní
0.0729
Slabý pozitivní
0.0183
Slabý negativní
-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
Vlastník produktu SaaS SDTEST®

Valerii získal kvalifikaci sociálního pedagoga-psychologa v roce 1993 a od té doby své znalosti uplatňuje v projektovém řízení.
Valerii získal magisterský titul a kvalifikaci projektového a programového manažera v roce 2013. Během magisterského studia se seznámil s Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) a Spiral Dynamics.
Valerii je autorem zkoumání nejistoty V.U.C.A. koncept využívající spirální dynamiku a matematickou statistiku v psychologii a 38 mezinárodních průzkumů veřejného mínění.
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Ahoj! Dovolte mi, abych se vás zeptal, už znáte spirálovou dynamiku?