Elicit: Consumer Attitudes Towards Microplastics (public)
Consumer Attitudes Towards Microplastics (public)
Key factors influencing consumer attitudes toward microplastics
Key factors influencing consumer attitudes toward microplastics include environmental and health consciousness, demographic characteristics (gender, age, education level), and social-cultural elements such as media narratives, collectivist values, and national policy.
Abstract
Studies indicate that consumer attitudes toward microplastics are chiefly influenced by environmental and health consciousness. Many papers report that clearer knowledge and greater awareness of microplastic risks increase concerns about both personal health and the environment, which in turn boost consumers’ willingness to change their practices. A number of studies note that women typically express higher levels of concern and are more likely to adopt pro‐environmental behaviors than men; likewise, younger and more educated individuals tend to demonstrate stronger positive attitudes and intentions compared with older or less educated groups.
Several papers also point to social and cultural factors—including media narratives, collectivist values, and the influence of national policy—that shape these attitudes. One study reported that 88.7% of participants were willing to adopt new practices and another noted that 94.6% supported policy measures, though many studies also record a gap between stated willingness and actual behavior change. Collectively, the evidence supports the view that more robust awareness, clearer communication of risks, and interventions tailored to demographic and cultural contexts are associated with shifts in consumer attitudes toward microplastics.
Methods
We analyzed 40 sources from an initial pool of 999, using 8 screening criteria. Each paper was reviewed for 5 key aspects that mattered most to the research question.
Paper search
Using your research question “What are the key factors influencing changes in consumer attitudes towards microplastics across different demographic groups?”, we searched across over 126 million academic papers from the Semantic Scholar corpus. We retrieved the 999 papers most relevant to the query.
Screening
We screened in sources based on their abstracts that met these criteria:
- Microplastics Focus: Does this study examine consumer attitudes, perceptions, or behaviors specifically related to microplastics (not just general plastic pollution)?
- Attitude Change or Formation: Does this study measure attitude change over time OR examine factors associated with attitude formation/modification?
- Demographic Analysis: Does this study include demographic analysis or stratification of results by demographic characteristics?
- Study Design: Is this a quantitative, qualitative, or mixed-methods primary research study, OR a systematic review/meta-analysis?
- Adult Population: Does this study involve adult consumers (18+ years) as participants?
- Attitude Components: Does this study include attitude components (evaluative or emotional responses), not solely knowledge or awareness measures?
- Publication Type: Is this a peer-reviewed publication (not a conference abstract, editorial, opinion piece, or non-peer reviewed material)?
- Consumer Perspective: Does this study include consumer data or perspectives (not exclusively expert opinions, industry stakeholders, or policymakers without consumer input)?
Data extraction
We asked a large language model to extract each data column below from each paper. We gave the model the extraction instructions shown below for each column.
Study Design Type: Identify the primary research design used in the study. Possible categories include:
Cross-sectional survey
Quantitative descriptive study
Mixed methods study
Structural equation modeling study
Sampling Method: Locate the sampling technique in the methods section. Specifically extract:
Sampling technique (e.g., snowball, convenience, random, stratified)
Total sample size
Sampling location/context
Demographic Composition: Extract demographic information about study participants; prioritize percentage or numerical representations. If precise percentages are not available, use descriptive terms like “majority” or “significant proportion”.
Key Factors Influencing Microplastic Attitudes: Categorize factors into:
Cognitive factors (awareness, knowledge)
Emotional factors (environmental concern, health perception)
Behavioral factors (willingness to change, consumption intentions)
Demographic factors
For each factor, note:
Whether it was statistically significant
Direction of influence (positive/negative)
Strength of relationship if provided
Consumer Behavioral Intentions: Extract specific details about consumer behavioral intentions related to microplastics:
Percentage willing to reduce microplastic usage
Specific behavioral change intentions
Barriers to behavioral change
Supportiveness of policy interventions
Results
Characteristics of Included Studies
| Study | Study Design | Population/Demographics | Geographic Location | Primary Outcome Measures |
|---|---|---|---|---|
| Deng et al., 2020 | Quantitative descriptive study | Partial: Shanghai; gender and occupation noted | Shanghai, China | Public perceptions, willingness to reduce microplastics, influencing factors |
| Moon et al., 2023 | Cross-sectional survey | Partial: US, China, Korea | US, China, Korea | Consumer concern, willingness to pay for safer seafood, cultural/attitudinal factors |
| Praveena, 2024 | Quantitative descriptive study | Partial: Malaysia; gender, occupation, location | Malaysia | Awareness, willingness to reduce emissions, policy support |
| Kramm et al., 2022 | Quantitative descriptive study | Partial: Germany; sample size: 1027 | Germany | Risk perception, role of awareness, knowledge, media |
| Dagiliūtė et al., 2023 | Cross-sectional survey | Partial: Europe; gender, age, income | Europe | Attitudes, behaviors, demographic predictors |
| Felipe-Rodriguez et al., 2024 | Cross-sectional survey | Partial: Norway; sample size: 699; gender, age | Norway | Worry about microplastics, risk perception, personal values |
| Yusuf and Elias, 2023 | Cross-sectional survey | Age 18+; 68% female; 67.7% employed | Ampang, Selangor, Malaysia | Knowledge, perception, practice, sociodemographic factors |
| Barrientos et al., 2024 | Quantitative descriptive study | Average age 43; 70% female; metropolitan Chile | Chile | Consumer preferences, willingness to pay for mitigation technology, information effects |
| Harvey et al., 2025 | Cross-sectional survey | Parents/parents-to-be; sample size: 300 | Canada | Knowledge, willingness to change, sources of exposure |
| Seifi et al., 2025 | Randomized controlled trial | Women 18+; all female; sample size: 136 | Iran | Effect of mobile app education on knowledge, attitudes, practices |
Thematic Analysis
Environmental and Health Consciousness as Primary Drivers
- Many included studies report that environmental and health consciousness are central factors influencing consumer attitudes towards microplastics.
- Cognitive factors such as awareness and knowledge are frequently identified as significant predictors of concern and willingness to act.
- Emotional factors, especially environmental concern and perceived health risks, are often reported to mediate the relationship between knowledge and behavioral intentions.
- Several studies report that, among their participants, perceived threat to human health is a particularly strong motivator for concern and action, sometimes even more so than environmental impacts.
Gender-Based Differences in Attitude Formation and Response
- Many studies report that women show higher levels of concern, knowledge, and willingness to act on microplastic issues. This pattern is observed across diverse cultural contexts and product types.
Knowledge and Awareness Gaps Across Demographic Groups
- Despite generally high levels of concern, many studies identify significant gaps in knowledge and awareness, particularly regarding the sources of microplastics, their presence in specific products, and effective mitigation strategies.
Social and Cultural Influences on Attitude Change
- Social and cultural factors, including collectivist values, peer influence, and national context (such as legislation and media coverage), are reported to play a significant role in shaping attitudes and behaviors.
Behavioral Intention Translation Across Demographics
- While stated willingness to act is often high, actual behavior change is less consistent, with intention-behavior gaps frequently reported.
- Barriers include lack of alternatives, cost, inconvenience, lack of transparency, and low perceived efficacy.
- Support for policy interventions, such as bans, education, and improved labeling, is generally strong, especially when interventions address these barriers and are tailored to demographic and cultural context.
Summary Table: Key Factors Influencing Attitudes and Behaviors
| Study | Cognitive Factors | Emotional Factors | Behavioral Factors | Demographic Factors | Barriers/Facilitators | Policy Support |
|---|---|---|---|---|---|---|
| Deng et al., 2020 | Awareness, knowledge | Health concern | Willingness to change | Gender, occupation | Low awareness | Yes |
| Moon et al., 2023 | Knowledge, culture | Environmental concern | Willingness to pay for safer food | No mention found | No mention found | Yes |
| Praveena, 2024 | Concern, health impact | Concern, health | Willingness to act (88.7%) | Gender, occupation, location | Waste management, information gaps | 94.6% |
Synthesis and Limitations
- The included studies, which are broad and international in scope, frequently report the importance of knowledge, environmental and health concern, and demographic predictors (especially gender, age, and education) in shaping consumer attitudes towards microplastics.
- The predominance of cross-sectional and self-reported data, partial demographic reporting, and heterogeneity in measures and contexts limit the strength of inferences that can be drawn from these studies.
- The intention-behavior gap is a recurring challenge, with many studies reporting that willingness to act does not always translate into actual behavior change.