Elicit: Consumer Attitudes Towards Microplastics (public)
Consumer Attitudes Towards 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.
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.
- Study Design Type: Identify the primary research design used in the study. Look in the methods section for explicit description of the study type.
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, focusing on:
Age range/distribution
Gender breakdown
Occupation categories
Geographic location/region
Key Factors Influencing Microplastic Attitudes:
Systematically extract factors identified as influencing consumer attitudes towards microplastics.
Categorize factors into:
Cognitive factors (awareness, knowledge)
Emotional factors (environmental concern, health perception)
Behavioral factors (willingness to change, consumption intentions)
Demographic factors
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 Design Population/Demographics Geographic Location Primary Outcome Measures
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% |
| Kramm et al., 2022 | Environmental awareness, media | No mention found | No mention found | Socio-demographics | No mention found | No mention found |
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.
Interventions that address both informational and structural barriers, and that are tailored to demographic and cultural context, are reported to be more effective. Policy support is generally high across studies, as reported by participants.