The Los Andes Peruvian University (UPLA) (Spanish: Universidad Peruana Los Andes) is an educational institution created on December 30, 1983 (Law Nº 23.757). The main campus is situated in Huancayo, Perú. It is one of the most prosperous universities in the central region of the country. It is named after the Andes mountains, which surround the city of Huancayo.
This study examines whether administrative simplification is associated with stronger document-management practices in a district-level local government organization, and why this matters for societal outcomes such as transparency and more equitable access to public services. Using a quantitative, cross-sectional, non-experimental design, we surveyed officials and administrative staff with validated Likert-type instruments (62 items for administrative simplification; 17 items for document management) and tested associations using Spearman’s rho. Results show a positive, modest relationship between simplification and document management (ρ ≈ 0.37; p < 0.001). Stage-level analyses indicate consistently positive correlations, with stronger associations in later, institutionalization-oriented stages (implementation, monitoring/evaluation, continuous improvement, and sustainability). The study contributes to debates on administrative burden and digital-era governance by linking staged simplification efforts to the organizational backbone of records flows. Practically, findings suggest that resource-constrained municipalities can improve governance quality by treating document management not as a back-office function but as an enabling infrastructure for user-centered services, accountability, and compliance with digital-government guidance. Limitations include the single-organization design and reliance on staff perceptions; future research should test citizen-level outcomes and service-equity effects.
Water scarcity in Peru is increasingly shaped by competing sectoral demands, particularly between large-scale mining and agriculture. Both sectors rely heavily on limited freshwater resources in arid coastal and Andean basins, generating complex trade-offs between economic productivity, environmental sustainability, and social equity. This review synthesizes and critically evaluates current knowledge on water footprint (WF) dynamics within mining–agriculture systems, integrating hydrosocial theory, water–energy–food nexus thinking, and sustainability transition frameworks. Mining activities in Peru are characterized by high blue and grey water footprints, associated with intensive extraction processes and contamination risks, while agriculture exhibits diverse water footprints depending on crop type, irrigation efficiency, and climatic conditions. The interaction of these sectors creates hydrosocial conflicts driven by unequal water allocation, environmental degradation, and institutional fragmentation. This paper identifies key drivers of conflict and evaluates emerging pathways for sustainability transitions, including technological innovation, nature-based solutions, and participatory governance mechanisms. An integrative conceptual framework derived from a thematic synthesis of the reviewed literature is proposed. The findings provide actionable insights for policymakers and researchers seeking to reconcile economic development with water sustainability in resource-constrained environments.
[This corrects the article DOI: 10.3389/fpubh.2026.1762195.].
Background The Ichu River serves as the primary water source for urban consumption, agricultural irrigation, and several local industrial operations in the Huancavelica region; however, increasing anthropogenic pressures including untreated municipal wastewater, mining effluents, agricultural runoff, and expanding urbanization have significantly deteriorated its water quality. These combined stressors highlight the need for an integrated assessment to understand the extent of contamination and associated human health risks. Methods The investigation measured water quality and health-related risks by analyzing physicochemical parameters, heavy metals, and microbial pollutants at eight sampling points, site 1 (S1) through (S8). Results The research data showed that water quality worsened progressively from upstream to downstream locations such as turbidity, TDS, conductivity, and BOD levels increased. Oil pollution and oxygen depletion arose from a reduction in dissolved oxygen from 6.3 to 4.5 mg/L at the different sampling sites (S1 to S8). Heavy metals (As, Pb, Cd, and Cr) in the samples exceeded the standards established by the World Health Organization (WHO) established standards because of mining and industrial wastewater and local wastewater discharge. The presence of excessive Escherichia coli (E. coli) and total coliforms in microbial tests proved that the water was severely contaminated by fecal matter. Principal Component Analysis showed that heavy metals exist with microbial pollution and organic load as the main sources of water quality decline, and pollution indicators were found to establish powerful relationships with depleted oxygen levels. Conclusion The severe contamination risks found in this study justify immediate pollution control measures, wastewater treatment enforcement, and sustainable watershed management practices. Urgent action is necessary because vital parameters surpass the standards set by the WHO and (United States Environmental Protection Agency (USEPA) to avoid enduring environmental damage and health problems. This research demonstrates the value of continuing water quality assessments while enforcing policies and raising public awareness to improve the water quality of the Ichu River.
Introduction: Perinatal grief requires culturally adapted instruments for its assessment in the Peruvian context. Objectives: To adapt and evaluate the psychometric properties of the Perinatal Grief Scale (PGS) in hospitalized patients at the Instituto Nacional Materno Perinatal (INMP). Methods: An instrumental, psychometric, cross-sectional study was conducted in 600 patients with a history of perinatal loss, hospitalized after vaginal delivery or cesarean section, aged 18 to 44 years (mean age: 29.63 ± 6.476). The sample was divided into 400 participants for confirmatory factor analysis (CFA) of three- and four-dimensional models, and 200 participants for exploratory factor analysis (EFA), following parallel analysis. The EFA proposed two models that preserved both the number of dimensions and the theoretical structure. Content validity, reliability, model fit, invariance using ΔCFI according to the presence of children, and convergent validity with the seven-item Generalized Anxiety Disorder Scale (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9) were evaluated. Results: The final 18-item, four-dimensional model—Depression, Guilt, Hopelessness, and Acceptance—showed factor loadings ranging from 0.64 to 0.93, alpha values between 0.702 and 0.874, and omega values between 0.753 and 0.887. This model presented the best fit indices (CFI = 0.965; TLI = 0.958; SRMR = 0.074; RMSEA = 0.069), strong invariance (ΔCFI < 0.01), and significant correlations with anxiety and depression. Dimensions F1, F2, and F3 showed direct relationships, whereas F4 showed inverse relationships. Conclusion: The adapted PGS provides adequate psychometric evidence for assessing perinatal grief in hospitalized patients at the INMP. Keywords: Bereavement; perinatal death; psychometrics; validation study; psychological tests (Source: MeSH NLM).