Understanding the phases and tensions of regenerative agriculture for better health outcomes for farmers

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Abstract Australian farmers face an array of challenges impacting mental health, such as extreme climatic events, market uncertainties, technological dependence, regulatory demands, and social isolation. Regenerative agriculture (RA) has been suggested as a way for farmers to improve wellbeing by integrating natural systems, continuous evaluation, and adaptation—while benefitting from the socio-cultural aspects of farmer relations—for sustainable food production. This rapid review of the literature aims to synthesise evidence on the relationship between RA practices and farmer mental health and wellbeing. The review encompassed 9 databases (n = 13795 articles) and 3 sources of grey literature (n = 209 studies). The final 44 items included in the review demonstrated that regenerative agricultural practices have gained recognition for environmental benefits and that the impact on farmers’ mental health has started to be explored. Findings show underlying tensions in the transition process from conventional farming practices to RA—including notable phases of triggering, accepting alternatives, adopting, and adapting. Although evidence is still scarce and limited in its scope, tailored mental health intervention and prevention strategies need to consider farmers’ vulnerability during these RA transition phases. Importantly, farmers need different supports at different phases of the system.

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Placing resilience in context: Investigating the changing experiences of Finnish organic farmers
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Could pesticide exposure be implicated in the high incidence rates of depression, anxiety and suicide in farmers? A systematic review
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Mental Health Prevention and Promotion-A Narrative Review.
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  • Frontiers in Psychiatry
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Extant literature has established the effectiveness of various mental health promotion and prevention strategies, including novel interventions. However, comprehensive literature encompassing all these aspects and challenges and opportunities in implementing such interventions in different settings is still lacking. Therefore, in the current review, we aimed to synthesize existing literature on various mental health promotion and prevention interventions and their effectiveness. Additionally, we intend to highlight various novel approaches to mental health care and their implications across different resource settings and provide future directions. The review highlights the (1) concept of preventive psychiatry, including various mental health promotions and prevention approaches, (2) current level of evidence of various mental health preventive interventions, including the novel interventions, and (3) challenges and opportunities in implementing concepts of preventive psychiatry and related interventions across the settings. Although preventive psychiatry is a well-known concept, it is a poorly utilized public health strategy to address the population's mental health needs. It has wide-ranging implications for the wellbeing of society and individuals, including those suffering from chronic medical problems. The researchers and policymakers are increasingly realizing the potential of preventive psychiatry; however, its implementation is poor in low-resource settings. Utilizing novel interventions, such as mobile-and-internet-based interventions and blended and stepped-care models of care can address the vast mental health need of the population. Additionally, it provides mental health services in a less-stigmatizing and easily accessible, and flexible manner. Furthermore, employing decision support systems/algorithms for patient management and personalized care and utilizing the digital platform for the non-specialists' training in mental health care are valuable additions to the existing mental health support system. However, more research concerning this is required worldwide, especially in the low-and-middle-income countries.

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The agriculture sector encounters the dual challenge of ensuring food security for the growing world population while mitigating its significant contribution to greenhouse gas (GHG) emissions. Regenerative agriculture offers a system-wide approach intended to address this predicament by transforming farming from a carbon source to a significant carbon sink. Regenerative agriculture (RA) can be a promising strategy that focuses on replenishing soil health, structure, and biodiversity lost to degradation, mainly through practices that augment carbon sequestration. In this review, the current understanding of agriculture's contribution to climate change, the principles and practices of RA, and its potential for mitigation are integrated from various literature sources. The essence of regenerative agriculture is the enhancement of soil organic carbon (SOC) through practices that reinforce natural carbon capture and storage mechanisms. The major principles include reducing soil disturbance, maximizing crop diversity, sustaining living roots in the soil, covering the soil throughout the year, and integrating livestock. These practices aid in preserving soil structure (reduces carbon flux), continuous carbon capture through photosynthesis and provisioning of organic matter to the soil web. In addition, this review analyses methodologies for the natural fixation and long-term carbon sequestration. These includes the application of biochar, a soil amendment which helps in reduction of nitrous oxide emissions, cultivation of soil microbial communities (nitrogen fixing bacteria in root nodules of legumes – energy consuming utilizing more carbon from the plants) and promoting arbuscular mycorrhizal fungi (AMF) which improves binding of soil aggregates (ensuring long-term storage). In addition, this review also examines the scope of emerging scientific interventions in regenerative agriculture such as data-driven precision regenerative agriculture, remote sensing, use of sensors and monitoring, using robotics and automation, all which enables farmers in decision making, reducing reliance in manual labor, as well as identifying areas of concern, and optimize management practices. Incorporating practices like no-till farming, cover cropping and rotational grazing, regenerative agriculture offers a scientifically sound pathway to reduce agricultural emissions, regenerate soil health and actively sequester atmospheric carbon. These methods position it as a crucial solution in the global effort against climate change.

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  • JISIP (Jurnal Ilmu Sosial dan Pendidikan)
  • Jamaludin Jamaludin

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Mental Health Issues of Adolescents In Pakistan: A Cry For Help
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  • International Journal of Mental Health Promotion
  • Brian Graetz + 8 more

This article provides an overview of a new schoolbased mental health initiative currently being trialed in 101 primary schools in Australia. KidsMatter: the Australian Primary School Mental Health Initiative is a population model for supporting student mental health and well-being. Using a whole-school implementation model, it provides schools with a framework, a guided process and key resources to develop and implement a co-ordinated set of mental health promotion, prevention and early intervention (PPEI) strategies for the specific mental health and well-being needs of their students. Through KidsMatter primary schools are engaged in building their capacities for PPEI by promoting a positive school community, teaching social and emotional skills, providing parenting support and education, and facilitating early intervention for students experiencing mental health difficulties. The article describes the rationale and theoretical underpinnings of KidsMatter, outlines key features of the framework, impleme...

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Mood Music: Combining Spotify data with Ecological Momentary Assessment to explore mental health
  • Oct 6, 2025
  • International Journal of Population Data Science
  • Madeleine Jones + 3 more

Introduction & BackgroundMusic listening in the modern age primarily occurs through streaming platforms such as Spotify (~626 million users). Naturalistic ‘big data’ produced by individuals’ interactions with these platforms provides a novel opportunity to consider music listening beyond the artificial lab setting, and to combine this with mood and mental health records. Objectives & ApproachThe Mood Music study was conducted at the University of Bristol to investigate the use of music listening as a proxy for wellbeing. This study included three forms of data from a sample of 171 university students: Ecological Momentary Assessment (EMA), Spotify streaming history, and mental health survey measures (including depression (PHQ-9), anxiety (GAD-7), and wellbeing (SWEMWBS)). Ethical approval was granted by the University of Bristol, and the analysis plan preregistered on OSF. Relevance to Digital FootprintsSpotify streaming history data is produced by individuals’ interactions with the platform, including the timestamp of their listening, the songs they choose to listen to, and the musical characteristics of these tracks. As such, this data acts as a digital trace of individuals’ behaviour. By linking this to individual mood data at four daily time points, we can relate real-time listening activity and mood. ResultsThis study contains survey and EMA data on 171 participants, of which 163 have Spotify streaming data available (total tracks=4,061,696). The streaming datasets were ‘hydrated’ with 15 audio, track, and artist variables (e.g. track tempo, artist popularity) using Spotify’s API. The EMA dataset contains 7520 unique mood records, covering 5 mood variables assessed at 4 daily time points over 2 weeks. We will present details of the music listening patterns, including diurnal and seasonal trends, and link these to mood and mental health. Conclusions & ImplicationsResults suggest that Spotify data is a useful source of real-time information about mood, and that music listening practices reflect people’s responses to real-world events. Using this dataset to understand the time-sensitive links between music listening, mood, and mental health has the potential to inform digital health intervention and prevention strategies using ‘flags’ in listening behaviours to identify low mood in real-time, without relying on self-report.

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Health-Promoting Effects and Everyday Experiences With a Mental Health App Using Ecological Momentary Assessments and AI-Based Ecological Momentary Interventions Among Young People: Qualitative Interview and Focus Group Study.
  • Apr 29, 2025
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  • Selina Hiller + 10 more

Considering the high prevalence of mental health conditions among young people and the technological advancements of artificial intelligence (AI)-based approaches in health services, mobile health (mHealth) apps for mental health are a promising way for low-threshold and large-scale mental health promotion, prevention, and intervention strategies, especially for young people. However, insufficient evidence on health-promoting effects and deficient user-centric designs emphasize the necessity for participatory methods in the interventions' development processes. This study aimed to explore young people's everyday experiences using an AI-based mHealth app for mental health promotion based on ecological momentary assessments and ecological momentary interventions. Our analysis of qualitative data focused on exploring young people's use patterns in daily life and mental health-promoting effects. We conducted problem-centered interviews and focus groups with a subsample of 27 young people aged 14 to 25 years, who were among the participants of 2 microrandomized trials testing and evaluating an AI-based mHealth app (AI4U training). Our study used a participatory approach, with "co- and peer researchers" from the dialogue population actively engaged in research processes and data analysis. Structural content analysis guided the qualitative analysis. Participants reported enhanced emotional self-awareness and regulation in daily life through the ecological momentary assessments and ecological momentary interventions. Young people appreciated the AI4U training for managing emotions and stress. They had no trust issues regarding disclosing their mental health via the AI4U training in daily life. Some faced challenges integrating it into their daily routines and highlighted the value of autonomy in use decision-making processes. Our findings reveal that young people benefited from enhanced emotional awareness and management through the use of the AI4U training, appreciating its anonymity for facilitating emotional disclosure. The results suggest that enhanced self-directed use may improve daily life integration, although participants noted that they sometimes avoided using the AI4U training during distress despite recognizing its potential benefits. These findings indicate the importance of balancing directed use and autonomy in digital interventions to harmonize compliance with effectiveness in daily life. We highlight the importance of participatory research for tailored digital mental health solutions.

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  • 10.1016/j.onehlt.2024.100734
Food for thought: Making the case for food produced via regenerative agriculture in the battle against non-communicable chronic diseases (NCDs)
  • Apr 20, 2024
  • One Health
  • Davendra Ramkumar + 10 more

Food for thought: Making the case for food produced via regenerative agriculture in the battle against non-communicable chronic diseases (NCDs)

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  • 10.5811/westjem.2013.2.15349
Surveillance of Middle and High School Mental Health Risk by Student Self-Report Screener
  • Jan 1, 2013
  • Western Journal of Emergency Medicine
  • Bridget Dever + 4 more

Introduction:A 2009 National Academies of Sciences report on child mental health prevention and treatment concluded that screening for mental health risk is an essential component of service delivery. To date, however, there are few practical assessments available or practices in place that measure individual child risk, or risk aggregated at the school or community level. This study examined the utility of a 30-item paper and pencil student self-report screener of behavioral and emotional risk (BER) for surveying community risk among 7 schools.Methods:In 2010, 2,222 students in 3 middle and 4 high schools in a medium-sized school district in Georgia were administered the Behavioral and Emotional Screening System Self-Report Child/Adolescent form (BESS Student). The BESS is designed to measure 4 sub-syndromal BER factors for developing mental health disorders: inattention/hyperactivity, internalizing, school problems, and personal adjustment. Analysis of Variance and Chi Square analyses were used to assess the association between adolescent self-reported BER as an indicator of school BER, grade level, child ethnic identification and gender, socioeconomic status, and special education placement status.Results:BESS scores differentiated well between schools for overall BER and special education status, as well as between grade levels, ethnicity, and gender groups. One high school, known by the school administration to have numerous incidents of student behavior problems, had the most deviant 4 BER domain scores of all 7 schools. Girls rated themselves as having a higher prevalence of BER (14%) than boys (12%); middle school students reported fewer difficulties than high school students.Conclusion:Middle and high school students were capable of identifying significant differences in their own BER across schools, suggesting that universal mental health risk screening via student self-report is potentially useful for identifying aggregated community risk in a given school that may warrant differential deployment of mental health prevention and intervention strategies. BESS results reliably identified individual mental health risk associated with special education placement, which is documented to lead to poor school outcomes such as school dropout and lack of enrollment in post-secondary education.

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  • Cite Count Icon 1
  • 10.1186/s12877-025-05846-4
Uncovering the impact of loneliness in ageing populations: a comprehensive scoping review
  • Apr 10, 2025
  • BMC Geriatrics
  • Meritxell Puyané + 3 more

BackgroundEurope’s aging population increasingly faces social isolation and loneliness, with nearly 20% of older adults living alone. Social isolation refers to an objective lack of social contact, while loneliness is the subjective experience of unmet social needs. Both are prevalent among community-dwelling older adults, driven by life transitions, loss, and declining health. These issues severely impact mental and physical health, increasing risks of depression and suicidal ideation. This scoping review maps the literature, identifies knowledge gaps, and highlights key challenges regarding loneliness and social isolation in this population.MethodsA scoping review was conducted between March and September 2024, following the PRISMA guidelines for scoping reviews. The review adhered to Arksey and O’Malley’s five-stage framework, which includes identifying research questions, searching for and selecting relevant studies, extracting data, and synthesizing results. The search was conducted in major scientific databases, including Embase, CINAHL Plus, Web of Science, and PsycINFO, along with grey literature sources, including doctoral theses and organizational reports.ResultsA total of 45 studies were included, with 66.6% using quantitative methods, 11.1% using qualitative methods, and the remainder being systematic reviews or mixed-method analyses. The studies revealed a significant prevalence of loneliness and social isolation among community-dwelling older adults, with risk factors including health deterioration, widowhood, and loss of social networks. The consequences of loneliness and isolation span physical and mental health issues, including an increased risk of cardiovascular disease, anxiety, depression, and cognitive decline.ConclusionsLoneliness and social isolation among community-dwelling older adults are complex issues with profound implications for physical, mental, and social well-being. Addressing these challenges requires integrative approaches that consider individual, relational, and contextual factors. Further longitudinal and standardized research is needed to improve our understanding of the long-term impacts and effectiveness of interventions to mitigate these issues.

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