Clear Targets Research Articles

Trauma and social pathways to psychosis: Examining the role of attachment, social rank and dissociation in a clinical sample.

The trauma and social pathways model of psychosis proposes interactions between trauma, attachment, social rank and dissociation in pathways to psychosis, though this model has yet to be empirically investigated. The primary aim of this study was to examine the overall predictive value of the trauma and social pathways model using regression analysis. A secondary aim was to delineate hypothesized pathways between trauma and positive symptoms of psychosis using serial mediation analysis. This was a cross-sectional study of people attending mental health services for a psychosis-related diagnosis (N = 71). Measures of trauma, positive symptoms of psychosis, attachment, social comparison and dissociation were completed. A model of recurrent trauma, insecure attachment, social rank and dissociation predicted 23.2% of the variance in positive symptoms of psychosis. Recurrent trauma, attachment and dissociation contributed significantly to the model, while social rank did not. Further, serial mediation analysis indicated that the sequence of disorganized attachment and dissociation fully mediated the relationship between recurrent trauma and positive symptoms. Results provide preliminary support for the trauma and social pathways model of psychosis, specifically as it relates to recurrent trauma, insecure attachment and dissociation. Results did not support the social rank component of this model, however. These findings provide clear targets for the development of next-wave psychological interventions that focus on trauma-related variables in psychosis. Future studies should replicate these findings with a larger clinical sample, and consider a measure of shame to further elucidate social processes in pathways to psychosis.

Inhibition of fractalkine signalling in patients with acute myocardial infarction - First results from the FRACTAL trial

Abstract Background We have previously demonstrated a strong association between expression of the fractalkine receptor CX3CR1 on lymphocytes and microvascular obstruction (MVO) in patients undergoing primary percutaneous coronary intervention (PPCI) for ST-elevation myocardial infarction. Our pre-clinical studies also found an improvement in infarct size, inflammation and intramyocardial haemorrhage (IMH) when rats were pre-treated with the fractalkine inhibitor KAND567. Purpose FRACTAL (FRACTalkine inhibition in Acute myocardial infarction) study was a phase IIa, pilot, randomized, 2-arm parallel group, placebo-controlled, double blinded, multi-centre trial. Its primary aim was to assess the safety and tolerability of intravenous and oral administration of the fractalkine inhibitor KAND567 as well as reducing signs of reperfusion injury in STEMI patients undergoing PPCI. Methods Patients with a new diagnosis of anterior STEMI, who had index chest pain within 5 hours and angiographic occlusion of the LAD, were randomised on a 1:1 basis to receive either KAND567 or placebo over a period of 72 hours. All patients then underwent a baseline MRI scan at 3 days with a follow-up scan at 3 months, paralleled by longitudinal deep immuno­phenotyping over 9 time points. Results A total of 71 patients were enrolled into the study with 64 (90.1%) being male patients. The mean age of patients was 59.2 years. 37 patients received KAND567, whilst 34 received placebo over 72-hour period. Throughout the 3-month follow-up period, 23 (62%) patients from the KAND567 arm as compared to 24 (71%) patients in the placebo arm had reported adverse events. There was no statistical difference in serious adverse events (SAEs) between both arms with 9 documented in the placebo arm and 12 in the KAND567 arm. Safety bloods also demonstrated no significant differences between the two groups across all time points. There was a higher incidence of left ventricular (LV) thrombus in the placebo arm as compared to the KAND567 arm (17.6% vs. 2.7%; p=0.049). Additionally, the study also demonstrated a lower occurrence of IMH in the KAND567 arm compared to the placebo arm (35.5% vs. 55.2%; p=0.19). Deep immunephenotyping suggested clear target engagement in the KAND567 arm in natural killer cells as well as in cytotoxic T-lymphocytes. Conclusion This first in-man study demonstrates that inhibition of the fractalkine pathway in STEMI patients appears safe and well-tolerated, while demonstrating a promising potential in preventing LV thrombus and IMH. The results suggest a new mechanism and class of drug to target reperfusion injury, clearly warranting a larger phase III study.LV thrombus and IMH

Influence of Organizational Market Culture on Change Management in Kenyan Social Enterprises

Firms ought to continuously adapt and modify their operations to fit the changing circumstances in the fiercely competitive and dynamic business environment. This suggests that businesses must incur substantial costs to carry out a variety of changes that will enable them to operate in the changing environment. Adjustments play an important part in defining firm competitiveness in the modern economic environment; however, many firms struggle to properly manage innovations, ensure long-term development, and motivate employees to accept change. This study explored the influence of organizational market culture on change management in social enterprises in Kenya. The study employed the Competing Values Culture theory to assess the company's culture. Using a descriptive design, the study targeted all 129 employees of Kidogo Early Years Company Limited, from top management to departmental level. Data collection involved questionnaire surveys for primary data. Analysis of quantitative data was by Statistical Package for Social Sciences version 29. The regression analysis findings revealed that organizational market culture (β = 0.310, p = 0.012) had significant positive influence on change management. The study concludes that organizations that are goal-oriented and market-driven are more adaptable to external pressures and are better positioned to manage change effectively. In view of the findings, the study recommends that for organizations with a market culture, it is crucial to embed a results-oriented approach that aligns change management with organizational goals and objectives. Practices such as setting clear performance targets, encouraging a competitive spirit, and focusing on market-driven strategies should be incorporated into daily operations. Keywords: Organizational Market Culture, Change Management, Social Enterprises, Organizational Culture Influence, Kenya

Impact of different blood pressure targets on cerebral hemodynamics in septic shock: A prospective pilot study protocol-SEPSIS-BRAIN.

Septic shock, a life-threatening condition, can result in cerebral dysfunction and heightened mortality rates. In these patients, disturbances in cerebral hemodynamics, as reflected by impairment of myogenic cerebral autoregulation (CA), metabolic regulation, expressed by critical closing pressure (CrCP) and reductions in intracranial compliance (ICC), can adversely impact septic shock outcomes. The general recommendation is to maintain a target mean arterial pressure (MAP) of 65 mmHg but the effect of different MAP targets on cerebral hemodynamics in these patients is not clear and optimal targets might be dependent on the status of CA. This protocol aims to assess the cerebral hemodynamics profile at different pressure targets in septic shock patients. Prospective, non-randomized, single-center trial, which will study cerebral hemodynamics in patients with septic shock within 48 hours of its onset. Patients will be studied at their baseline MAP and at three MAP targets (T1: 65, T2: 75, T3: 85 mmHg). Cerebral hemodynamics will be assessed by transcranial Doppler (TCD) and a skull micro-deformation sensor (B4C). Dynamic CA will be expressed by the autoregulation index (ARI), calculated by transfer function analysis, using fluctuations of MAP as input and corresponding oscillations in cerebral blood velocity (CBv). The instantaneous relationship between arterial blood pressure and CBv will be used to estimate CrCP and resistance-area product (RAP) for each cardiac cycle using the first harmonic method. The B4C will access ICC by intracranial pressure waveforms (P2/P1). The primary aim is to assess cerebral hemodynamics (ARI, CrCP, RAP, and P2/P1) at different targets of MAP in septic shock patients. Our secondary objective is to assess cerebral hemodynamics at 65mmHg (target recommended by guidelines). In addition, we will assess the correlation between markers of organ dysfunction (such as lactate levels, vasoactive drugs usage, SOFA score, and delirium) and CA. The results of this study may help to understand the effect of the recommended MAP and variations in blood pressure in patients with septic shock and impaired CA and ICC. Furthermore, the results can assist large trials in establishing new hypotheses about neurological management in this group of patients. Approval was obtained from the local Ethics Committee (28134720.1.0000.0048). It is anticipated that the results of this study will be presented at national and international conferences and will be published in peer-reviewed journals in 2024 and 2025. Trial registration number: NCT05833607. https://clinicaltrials.gov/study/NCT05833607.

Demoralization as a specifier for adjustment disorders

Abstract Adjustment disorder (AD) is the most common psychiatric diagnosis yet carries the most loosely defined diagnostic criteria. The phenomenology of demoralization (hopelessness, pointlessness, discouragement, and entrapment) enriches criteria for AD substantially. Moreover, demoralization mediates the suicidality that can follow from maladaptive coping. The focus of treatment seeks to restore morale, hope, and meaning as clear therapeutic targets. Use of demoralization as a “specifier” for AD introduces a subtype that will enhance understanding of and communication about a patient, while providing optimal treatment targets.

Spectrum of global string networks and the axion dark matter mass

Cold dark matter axions produced in the post-inflationary Peccei-Quinn symmetry breaking scenario serve as clear targets for their experimental detection, since it is in principle possible to give a sharp prediction for their mass once we understand precisely how they are produced from the decay of global cosmic strings in the early Universe. In this paper, we perform a dedicated analysis of the spectrum of axions radiated from strings based on large scale numerical simulations of the cosmological evolution of the Peccei-Quinn field on a static lattice. Making full use of the massively parallel code and computing resources, we executed the simulations with up to 112643 lattice sites, which allows us to improve our understanding of the dependence on the parameter controlling the string tension and thus give a more accurate extrapolation of the numerical results. We found that there are several systematic effects that have been overlooked in previous works, such as the dependence on the initial conditions, contaminations due to oscillations in the spectrum, and discretisation effects, some of which could explain the discrepancy in the literature. We confirmed the trend that the spectral index of the axion emission spectrum increases with the string tension, but did not find a clear evidence of whether it continues to increase or saturates to a constant at larger values of the string tension due to the severe discretisation effects. Taking this uncertainty into account and performing the extrapolation with a simple power law assumption on the spectrum, we find that the dark matter mass is predicted in the range of m a ≈ 95–450 μeV.

Fusarium oxysporum causes the root rot disease of Polygonatum cyrtonema in China

Polygonatum cyrtonema, also known as Huangjing, belongs to the Liliaceae family and is a commonly used medicinal and edible plant in Asia. In recent years, P. cyrtonema root rot disease has frequently occurred in China, significantly impacting its yield and medicinal value. However, the pathogen of the disease has not yet been identified. In this study, we aimed to identify the pathogen causing the root rot disease of P. cyrtonema by applying morphological and molecular methods following Koch's postulates. Twelve fungal strains were isolated from nine diseased rhizomes of P. cyrtonema. Morphological analysis showed that the twelve isolates included eight colony types. Among that strain, HJ-5 has the typical characteristics of Fusarium oxysporum, including single-cell microconidia, chlamydospores, and sickle macroconidia. BLAST alignment and phylogenic tree based on the tef1, rpb2, β-tubulin, and ITS genes demonstrated that strain HJ-5 exhibits the highest similarity with Fusarium oxysporum. The strain HJ-5 is identified as F. oxysporum based on morphological and molecular characteristics. In addition, the pathogenicity test showed that among twelve isolates, only strain HJ-5 led to the rhizome softening and rotting on detached rhizomes and living plants of P. cyrtonema, consistent with symptoms observed in the field. To our knowledge, this is the first report on root rot disease in P. cyrtonema caused by F. oxysporum in China, which will provide a clear prevention and management target for the root rot disease of P. cyrtonema.

Network pharmacology and bioinformatics approach to unravel the mechanism of Xiao-chai-hu-tang herbal formula in tinnitus treatment

BackgroundTinnitus treatment remains a global challenge, and current therapeutic approaches are still controversial. This study aims to elucidate the potential mechanisms of Xiao-Chai-Hu-Tang (XCHT) in treating tinnitus through the analysis of network pharmacology, mendelian randomization and molecular docking, and molecular dynamics simulation analysis. We hope to contribute to the research on the target of action of traditional Chinese medicine and exploration of the mechanism of tinnitus. MethodsWe utilized network pharmacology to screen potential targets of action of XCHT on tinnitus. Mendelian randomization was employed to determine the causal relationship between potential targets of action and tinnitus. Finally, molecular docking and molecular dynamics simulation with clear targets and the combination of the active ingredient in effectiveness. ResultsThrough network pharmacology, we identified 38 potential targets of action. Mendelian randomization analysis revealed that HIF1A (OR [95 % CI] = 0.78 [0.65, 0.94], P = 0.008) and CCND1 (OR [95 % CI] = 1.22 [1.00, 1.49], P = 0.04) exhibited significant results with tinnitus. Molecular docking and molecular dynamics simulation of HIF1A and active ingredients demonstrated good binding efficacy. ConclusionHIF1A may play a key role in the treatment of tinnitus by XCHT, which may play a certain protective role in tinnitus patients and may inhibit the occurrence and development of tinnitus. However, the specific mechanism and effect need to be further studied and verified.

Analysis of the Performance Allowance System in Improving Employee Performance

This study investigates the effectiveness of the performance allowance system at PD. BPR Bahteramas Konawe in improving employee performance. The research explores the roles of transparency, fairness, and flexibility within the system and assesses its impact on employee motivation and productivity. The main issue addressed is identifying the key factors that influence the relationship between the allowance system and the achievement of organizational goals. The purpose of this research is to provide management with recommendations to refine the performance allowance system, enabling the company to achieve its strategic objectives and enhance its competitiveness in the financial sector. The study uses descriptive qualitative analysis with interviews as the primary data collection tool. The analysis focuses on important themes gathered from insights provided by the Chief Executive Officer, Operations Manager, and staff from various divisions. The findings reveal that the performance allowance system significantly enhances employee performance by offering both financial and non-financial incentives that recognize individual contributions. Success depends on setting clear targets, maintaining transparent evaluations, and utilizing technology for accurate assessments

Patient pathways for four major chronic respiratory diseases in England between 2008 and 2021

BackgroundNot all chronic diseases have clear pathways and time targets for diagnosis. We explored pathways and timings for four major chronic respiratory diseases in England.MethodsUsing deidentified electronic healthcare records from...

Clear imaging method for underwater targets based on the second Lorentz depolarization index

Underwater target information is submerged in background scattered light due to the scattering effect of suspended particles in turbid water. In order to improve the quality of target imaging in turbid water, this paper proposes a method for achieving clear underwater target imaging using the second Lorentz depolarization index based on a dual division of focal plane Mueller matrix imaging system. This method can directly quantify the attenuation of light in water, and then solve a clear image of the target. Experimental results on underwater targets of different materials (plastic, paper, metal) show that the method proposed can effectively remove background scattering light while enhancing image contrast, ultimately improving the imaging quality of targets in turbid water.

Mentorship program to elevate journal quality and rankings in Indonesia: a case study

This article explores the best practices of mentorship programs in all journals at Universitas Airlangga. The university has established a journal mentoring team, as mandated by the rector’s regulation, which is responsible for guiding journals through preparation, submission, management, policy, and overall quality improvement. A case study was conducted to explore the mentoring mechanisms at Universitas Airlangga. Mentors were selected from among experienced editors at the university, each with a distinguished background in managing their own journals. The mentorship program successfully led to the indexing of 14 journals in Scopus, one in Web of Science (WoS), 85 in the Science and Technology Index (SINTA), and 60 in Directory of Open Access Journals (DOAJ). The strategies used can be shared with other universities to assist their journal editors. The mentorship program at Universitas Airlangga has significantly improved the quality and international visibility of its academic journals. This is evidenced by the successful indexing of numerous journals in prestigious databases including Scopus, WoS, SINTA, and DOAJ. The structured mentoring, clear targets, and comprehensive institutional support were instrumental in achieving these results. This model serves as a scalable best practice for other universities seeking to improve their journal quality and global standing.

Environmental Penalties, Internal and External Governance, and Green Innovation: Does the Deterrence Effect Work?

There is a clear target and roadmap for the peaking of carbon emissions and achievement of carbon neutrality, and prior to this target being reached, penalties have been formulated to supervise enterprises and prompt green innovation. This study aimed to investigate the transmission mechanism between environmental penalties and green innovation using an empirical econometrical model and two sets of samples—punished firms and heavily polluting listed firms—amounting to 520 punished firms and 6043 firm-year observations. The main conclusions were threefold. Firstly, regarding the panel data, of the three parameters, namely, the times of penalties, the number of penalty fines, and the intensity of the penalty, only the number of penalty fines were statistically significant in terms of green innovation, indicating that only the hypothesis that, the higher the number of environmental penalties, the greater the green innovation that could be supported. Secondly, from a longitudinal perspective, there was one spontaneous effect on green patents, but the effect faded quickly in the second year after the punishment, indicating that firms did not seek green innovation as the solution for environmental penalties from a long-term perspective. Thirdly, the case number of external penalties in a province was significantly statistically associated with green innovation under an intertwined effect of the actual controller and shareholders. Therefore, there was a spillover of the deterrence effect from external penalties, with a higher number of penalty cases in a province corresponding to greater green innovation but with a very subtle coefficient. In addition, taking the median as the benchmark for group division, the group smaller than the median was statistically significant, while the group with a higher number of external penalties was not statistically significant, suggesting that firms were used to the penalties issued by environmental authorities.

Success factors for interventions to reduce low-value imaging. Six crucial lessons learned from a practical case study in Norway

BackgroundSubstantial overuse of health care services is identified and intensified efforts are incited to reduce low-value services in general and in imaging in particular. ObjectiveTo report crucial success factors for developing and implementing interventions to reduce specific low-value imaging examinations based on a case study in Norway. Materials and methodsMixed methods design including one systematic review, one scoping review, implementation science, qualitative interviews, content analysis of stakeholders’ input, and stakeholder deliberations. ResultsThe description and analysis of an intervention to reduce low-value imaging in Norway identifies six general success factors: 1) Acknowledging complexity: advanced knowledge synthesis, competence of the context, and broad and strong stakeholder involvement is crucial to manage de-implementation complexity. 2) Clear consensus-based criteria for selecting low-value imaging procedures are key. 3) Having a clear target group is critical. 4) Stakeholder engagement is essential to ascertain intervention relevance and compliance. 5) Active and well-motivated intervention collaborators is imperative. 6) Paying close attention to the mechanisms of low-value imaging and the barriers to reduce it is decisive. ConclusionReducing low-value imaging is crucial to increase the quality, safety, efficiency, and sustainability of the health services. Reducing low-value imaging is a complex task and paying attention to specific practical success factors is key.

Efficient multi-level cross-modal fusion and detection network for infrared and visible image

With the rapid development of uncrewed aerial vehicle (UAV) technology, detecting aerial images has found significant applications across various domains. However, existing algorithms overlook the impact of illumination on target detection, resulting in less satisfactory detection performance under low-light conditions. We propose EfficientFuseDet, a visible and infrared image fusion detection network to overcome this issue. First, an effective multilevel cross-modal fusion network called EfficientFuse is presented to combine complementary information from both modalities better. EfficientFuse captures local dependencies and global contextual information in shallow and deep layers, seamlessly combining complimentary local and global features throughout the network. The generated fused images can exhibit clear target contours and abundant texture information. Second, we propose a detection network called AFI-YOLO, which employs an inverted residual vision transformer backbone (IRViT) to effectively address the challenges associated with background interference in fused images. We design an efficient feature pyramid network (EFPN) that efficiently integrates multiscale information, enhancing multiscale detection capability using aerial images. A reparameterization decoupling head (RepHead) is proposed to further improve target classification and localization precision. Finally, experiments on the DroneVehicle dataset indicate that the detection accuracy using fused images can reach 47.2 %, which is higher than that observed with visible light images of 45 %. Compared to state-of-the-art detection algorithms, EfficientFuseDet exhibits a slight decrease in speed. However, it demonstrates superior detection capabilities and effectively enhances the detection accuracy using aerial images under low-light conditions.

Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator

Conversational recommendation system (CRS) is able to obtain fine-grained and dynamic user preferences based on interactive dialogue. Previous CRS assumes that the user has a clear target item, which often deviates from the real scenario. The user may have a clear single preference for some attribute types (e.g., brand) of items, while for other attribute types (e.g., color), the user may have multiple preferences or even no clear preferences, which leads to multiple acceptable items under multiple combinations of attribute instances. Furthermore, previous works assume that users would provide clear responses to any questions asked by the system. And, they also assume that users would be dedicated to the target item, that is, user would answer “yes” to the attribute corresponding to the target item and answer “no” to other attributes. However, users’ responses to attributes are not completely dependent on target items, but also influenced by users’ inherent interests. Besides, for some over-specific or equivocal questions, the feedback of user might not be clear (“yes”/“no”) and user might give some fuzzy response like “I don’t know”. To address the aforementioned issues, we first propose a more realistic conversational recommendation learning setting, namely Multi-Interest Multi-round Conversational Recommendation (MIMCR), where users may have multiple interests in attribute instance combinations and accept multiple items with partially overlapped combinations of attribute instances. To effectively cope with MIMCR, we propose a novel learning framework, namely Multiple Choice questions based on Multi-Interest Policy Learning. Moreover, we further propose a more realistic User-centric User Simulator with Fuzzy Feedback (UUSFF), which naturally calibrates the user response with additional fuzzy feedback based on user’s inherent preference. To better match the new scenario UUSFF, we propose a simple but effective adaption method for different backbones. Extensive experimental results on several datasets demonstrate the superiority of our methods for the proposed settings.

An evaluative framework for inclusive agricultural value chain policies and interventions – Case: Mali

Advancing food security requires multi-level and inclusive approaches. This article presents a novel framework to (E) evaluate the social inclusiveness of policies and interventions (PIs) towards (V) vulnerable social groups in (A) agricultural value chains. The EVA-framework is applicable to any value chain, geography and vulnerable group. We apply it to the irrigated vegetable value chain of Mali, analyzing the social inclusiveness of weighted PIs towards women and youth. We find that respective PI formulation in Mali is largely not inclusive. Only few PIs set specific targets, quotas or a financial budget for women and youth inclusion. To be inclusive PIs need to consult targeted social groups, include clear targets, budgets, and accountability mechanisms, and be monitored and evaluated.

Apolipoprotein B: Bridging the Gap Between Evidence and Clinical Practice.

Despite data suggesting that apolipoprotein B (apoB) measurement outperforms low-density lipoprotein cholesterol level measurement in predicting atherosclerotic cardiovascular disease risk, apoB measurement has not become widely adopted into routine clinical practice. One barrier for use of apoB measurement is lack of consistent guidance for clinicians on how to interpret and apply apoB results in clinical context. Whereas guidelines have often provided clear low-density lipoprotein cholesterol targets or triggers to initiate treatment change, consistent targets for apoB are lacking. In this review, we synthesize existing data regarding the epidemiology of apoB by comparing guideline recommendations regarding use of apoB measurement, describing population percentiles of apoB relative to low-density lipoprotein cholesterol levels, summarizing studies of discordance between low-density lipoprotein cholesterol and apoB levels, and evaluating apoB levels in clinical trials of lipid-lowering therapy to guide potential treatment targets. We propose evidence-guided apoB thresholds for use in cholesterol management and clinical care.

GGW-BDF: an online tool for using earth observation and Chinese ecosystem restoration experiences in support of the Great Green Wall initiative

ABSTRACT The United Nations Sustainable Development Goals (SDGs) establish a fresh global framework for evaluating the development agenda, emphasizing prosperity, growth, inclusivity, and transparency while safeguarding our planet Earth. Land Degradation Neutrality (LDN) represents a clear target for assessing the achievement of SDG 15.3. In response to the shortcomings of the African Great Green Wall initiative with respect to LDN monitoring, reporting, and intervention, we developed an online tool, the Great Green Wall Big Data Facilitator (GGW-BDF), based on earth observation data (e.g. SDGSAT-1), cutting-edge big data analysis technologies, and Chinese experience in combating desertification, to support the implementation of the African Great Green Wall initiative. The GGW-BDF comprises an LDN data portal, desertification control knowledge, and e-learning resources. This study highlights the functionality of this tool to support stakeholders across countries in monitoring LDN while providing the successful technoloiges to restore degraded or barren land. The contributions of the GGW-BDF are very useful in supporting the Pan-African Agency of the Great Green Wall (PAGGW), and will hopefully be continuously upgraded for being a part of the federated toolbox of the Group on Earth Observation (GEO) LDN Flagship.

ANALYSIS OF PRE-PROSPEROUS HOUSEHOLD CONSUMPTION DIVERSITY IN LAMPUNG PROVINCE (SUSENAS DATA ANALYSIS, 2019)

Food security has clear goals and impacts on efforts to improve nutrition and improve community welfare. To achieve this, diversification of food consumption plays an important role. Diversification of food consumption has a role in efforts to improve nutrition and to obtain quality human beings and reduce dependence on certain commodities. However, consumption pattern is different to each household depending on its income levels. The majority of household welfare levels in Lampung Province are categorized as pre-prosperous households. The economic situation (income) of pre-prosperous households can affect the food choice. If the food choice is inappropriate, the fulfillment of nutritional quality is not optimal and can affect the quality of human resources. As a result, research on this topic was critical, particularly in lower middle-class households especially pre-prosperous households. The goal of this study was to examine the amount of consumption diversification and its determinants among the pre-prosperous households. Secondary data from the 2019 SUSENAS raw data were used in this investigation. This survey included 2,792 households as samples. The Berry Index was employed to quantify the diversity of food consumption, and binary logistic regression analysis was performed to study its determinants. The amount of food consumption diversity among pre-prosperous households in Lampung Province was moderate. The Berry Index had an average value of 0.827. Household income, education of the head of the household, education of the mother, gender of the head of the household, and type of region all had a positive effect on household food consumption diversity, whereas the number of household members had a negative effect. Based on these results, comprehensive policies are needed with clear targets and programs that contribute to increasing employment opportunities and income so that family consumption is more diverse and of high quality. In addition, it is also necessary to increase the contribution of education both through formal and non-formal education, and promotion in the implementation of counseling or socialization on diversification of food consumption.