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Blood lipid and lipoprotein abnormalities are common among patients with diabetes. The study aimed to assess dietary fat intake and its association with blood lipids among patients with Type 2 diabetes mellitus (T2DM) considering sex differences.

A cross-sectional observational study was conducted with patients (207 males and 197 females) with T2DM. The daily food intake and its contents of fat and fat types were assessed through face-to-face interview. Anthropometric measurements, glycated hemoglobin (HbA1c), triglyceride, total cholesterol (TC), high-density lipoprotein (HDL) cholesterol and low-density lipoprotein (LDL) cholesterol were initially recorded.

The results revealed that TC, LDL and HDL cholesterol levels were significantly higher in females than in males. However, the TC: HDL ratio was significantly higher in males than in females. The results also showed that the daily intake of saturated fatty acid (SFA) slightly exceeded the daily recommended allowance. However, the monounsaturated fatty acid + polyunsaturated fatty acid/SFA (MUFA + PUFA/SFA) ratio was within the recommended ratio. In addition, this study found that the main sources of SFA and cholesterol intake were milk and milk products. A significant association between high fat intake and HbA1c levels was observed (r = 0.234, p < 0.001).

As it is a cross-sectional observational study, this study has the natural limitation where it can only demonstrate an association.

The types of dietary fat intake may contribute to blood lipid abnormalities and differences effects may exist among male and female. Studies on the effect of daily fat intake and its types on blood lipids in patients with diabetes, in particular Saudi patients with diabetes are limited. This study focused on the amount and type of the consumed fat among male and female Saudi patients with T2DM and studied the relationship between the type of consumed fat and blood lipid profiles.

Changes in society, the economy and health require a response from higher education regarding the training of professionals, specifically, future teachers. In this sense, active methodologies constitute, in line with the 2030 Agenda for sustainable development, a key strategic element in teacher training, given the need to educate for sustainability and social responsibility (SR). This study aims to examine innovative teaching-learning experiences based on the use of active methodologies and the interaction with sustainability and SR on the part of university students in Education.

The methodology constitutes a systematic review of the qualitative, inductive and exploratory literature, on the basis of the PRISMA declaration principles. The sample is composed of research published between 2011 and 2021 in the world’s most important scientific databases in the educational context (WoS, Scopus and Eric-ProQuest).

This study reveals the methodologies that are most commonly used in ecological literacy, their implications for the acquisition of competencies in terms of curriculum sustainability and their relationship with the UN Sustainable Development Goals and SR. Higher education must reflect and demonstrate awareness of its social mission and pedagogical effectiveness, to transform education, taking as a reference the sustainability and SR in the university student’s curriculum.

One of the main limitations of this study is the scarcity of research studies that include, jointly, the key descriptors analysed in this contribution such as teacher training, active methodologies, sustainability and SR. Another limitation to observe in this work is related to having considered as inclusion criteria solely research published in open access journals, since other research published in closed access journals is omitted.

This work demonstrates the usefulness of active methodologies in the training and professional development of future Education students in “sustainability”.

In an era of increasing financial vulnerability, people are not saving enough to either fund their future pension benefits or having precautionary savings. The authors propose that pension knowledge makes people increase their probability of having voluntary pension and banking savings.

The authors use the social protection survey in Chile, a unique set of panel data for affiliates in 2006 and 2009. First, the authors use clustering algorithms to find naturally occurring groupings in the level of pension knowledge. Second, the authors run a probit regression model for explaining the probability of having a voluntary pension and banking savings, using as determinants the level of pension knowledge and several control variables that are usually explored in the literature.

The authors find two clusters of pension knowledge in the Chilean pension system. In addition, the authors find that there is a positive correlation between high pension knowledge and good financial decision-making, as these people have voluntary retirement and banking savings.

As people who spend time planning accumulate more wealth, it is important to develop public policies that promote the advantages to know better about the benefits of having voluntary savings for the long-term horizon. Conscientious people are also more likely to have voluntary savings.

Policy programs to increase to be responsible can have positive effects on society's welfare.

Up to the authors’ knowledge, this is the first study that connects clustering algorithms and pension knowledge.

En una era de creciente vulnerabilidad financiera, las personas no están ahorrando lo suficiente para financiar sus futuras pensiones ni para tener ahorros precautorios. Proponemos que el conocimiento de las pensiones hace que las personas aumenten su probabilidad de tener ahorros voluntarios para pensiones y bancarios.

Usamos la Encuesta de Protección Social en Chile, una base única de datos de panel para afiliados en 2006 y 2009. En primer lugar, usamos algoritmos de clustering para encontrar agrupaciones naturales en cuanto a nivel de conocimiento sobre pensiones. En segundo lugar, usamos un modelo de regresión probit para explicar la probabilidad de tener ahorros voluntarios para pensión y bancarios, utilizando como determinantes el nivel de conocimiento sobre pensiones y variables de control.

Encontramos dos grupos de conocimiento sobre pensiones en el sistema de pensiones chileno. Además, encontramos que existe una correlación positiva entre un alto conocimiento de las pensiones y tener ahorros voluntarios.

A medida que las personas dedican tiempo a planificar acumulan más riqueza, por lo que es importante desarrollar políticas públicas que promuevan las ventajas para conocer mejor los beneficios de contar con ahorros voluntarios para un horizonte de largo plazo.

Los programas de políticas para aumentar la responsabilidad pueden tener efectos positivos en el bienestar de la sociedad.

Este es el primer estudio que conecta algoritmos de agrupación en clústeres para el conocimiento de las pensiones y sus implicaciones en la toma de decisiones financieras.