Latest research: Community & sustainability

What it found: This paper analyzes LLM adoption through a behavioral lens, reviews environmental costs across the technology’s life cycle, and suggests actions at individual, organizational, and cultural levels.

Why it matters: It can help behavior analysts consider environmental costs when using LLMs and identify opportunities to influence more sustainable practices.

AI-written summary of the published abstract. Read the original before applying it.

What it found: The study analyzed flood exposure, environmental indicators, and population dynamics across 1,157 locations in Northeast Thailand, finding that population trends and topography predicted community resilience classifications more strongly than flood frequency alone.

Why it matters: The findings may inform community flood-risk planning, but they do not directly evaluate behavior-analytic interventions or everyday ABA practice.

AI-written summary of the published abstract. Read the original before applying it.

What it found: A survey of 501 US adults found that cultural worldviews were indirectly associated with self-reported pro-environmental behavior through environmental beliefs and feelings of connection to nature, with connection to nature showing the stronger relationship.

Why it matters: For staff supporting sustainable habits, environmental beliefs and connection to nature may be useful context to assess, but this survey does not establish effective behavior-change strategies.

AI-written summary of the published abstract. Read the original before applying it.

What it found: This systematic review and meta-analysis found that attitudes, perceived behavioral control, and subjective norms were positively associated with pro-environmental intentions, with attitudes the strongest predictor and substantial variation across studies.

Why it matters: For sustainability programs, these findings suggest considering attitudes, perceived control, and social norms while measuring actual behavior rather than assuming intentions reliably predict action.

AI-written summary of the published abstract. Read the original before applying it.

What it found: A systematic evaluation of crisis-focused mobile health apps identified recurring gaps in cultural responsiveness, inclusivity, and accessibility and informed a framework for more equitable crisis response.

Why it matters: When recommending crisis apps, ABA staff should consider language, technology, and design barriers that may limit clients’ access to critical health information.

AI-written summary of the published abstract. Read the original before applying it.

What it found: A questionnaire study in Pei County, China, found that social capital was positively associated with public environmental cooperation, with social networks showing the strongest association and perceived environmental quality partly explaining the relationship.

Why it matters: Staff designing community environmental programs could consider social connections and residents’ perceptions of environmental quality as potential supports for participation, although this survey did not test an intervention.

AI-written summary of the published abstract. Read the original before applying it.

What it found: Using data from 543 residents in rural China, the study found that empowerment was positively associated with community citizenship behavior, with role clarity, place attachment, and role identity partially mediating that relationship.

Why it matters: For community-based work, these findings suggest considering resident empowerment and clear community roles when planning participation efforts, though they do not establish an effective behavioral intervention.

AI-written summary of the published abstract. Read the original before applying it.

What it found: This bibliometric review mapped research on pro-environmental behavior and organizational sustainability, finding increased research interest and prominent themes involving employee attitudes, education, and organizational environmental practices.

Why it matters: For ABA staff supporting workplace sustainability, this review highlights organizational and sociocultural factors worth considering but does not establish which behavior-change strategies are effective.

AI-written summary of the published abstract. Read the original before applying it.

What it found: In 30 flume experiments modeling landslide flow, crystal beads traveled 50% farther and reached 46% higher maximum velocities than crushed granite particles of similar size and density.

Why it matters: This physical-materials study may inform landslide hazard planning but does not provide evidence for everyday ABA practice.

AI-written summary of the published abstract. Read the original before applying it.

What it found: An analysis of USAID complex emergency aid from 2000 to 2019 found that diversity in media framing shaped aid decisions, with disproportionately higher aid when coverage was both extensive and diverse.

Why it matters: This study offers context on media influences on humanitarian funding but does not directly test strategies for everyday ABA practice.

AI-written summary of the published abstract. Read the original before applying it.

What it found: Compression tests showed that waste-glass artificial pumice absorbed more energy at higher strain rates, and a predictive model agreed with experimental results for layers up to 150 mm thick.

Why it matters: This materials-engineering study may inform volcanic shelter reinforcement but does not provide evidence for everyday ABA practice.

AI-written summary of the published abstract. Read the original before applying it.

What it found: In a quasi-experiment with 188 community health volunteers, those receiving information-motivation-behavioral-skills training maintained relatively good pregnancy-risk screening behavior over three months, while screening declined in the routine-activities group.

Why it matters: For staff training, these findings suggest pairing information with motivation and practical skills training, then checking whether preventive practices are maintained over time.

AI-written summary of the published abstract. Read the original before applying it.

What it found: An analysis of 537 participants identified five patterns of sustainable behavior, with greater participation generally associated with higher job satisfaction, burnout varying across groups, and performance remaining similar.

Why it matters: These associations suggest that workplace sustainability efforts may be relevant to staff well-being, but they do not establish that promoting sustainable behavior reduces burnout.

AI-written summary of the published abstract. Read the original before applying it.

What it found: Interviews with 40 recent dog owners identified shared stages of dog acquisition, with socioeconomic status influencing some but not all stages.

Why it matters: The findings suggest that accessible adoption information and nonjudgmental, community-based pet support may help shelters reach prospective adopters across income levels.

AI-written summary of the published abstract. Read the original before applying it.

What it found: A cross-sectional survey of 382 manufacturing enterprises in Ghana found a strong positive association between smart manufacturing practices and pro-environmental behavior, influenced by green dynamic capacity and environmental orientation.

Why it matters: For staff supporting workplace sustainability, the findings suggest considering organizational technology and environmental priorities, but they do not establish that changing these factors causes greener behavior.

AI-written summary of the published abstract. Read the original before applying it.

What it found: The abstract outlines using smartphone technology, incentives, and behavioral measurement to engage community residents in self-care, but reports no outcome data.

Why it matters: It highlights options for measuring health behavior and identifying barriers to self-care, without establishing whether these approaches improve outcomes.

AI-written summary of the published abstract. Read the original before applying it.