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The Spanish Association of Pediatrics has as one of its main objectives the dissemination of rigorous and updated scientific information on the different areas of pediatrics. Annals of Pediatrics is the Body of Scientific Expression of the Association and is the vehicle through which members communicate. The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
SRJ is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and qualitative measure of the journal's impact. SNIP measures contextual citation impact by wighting citations based on the total number of citations in a subject field. Spain is the European leader in overweight O-Wpartly to the social and environmental changes of the last decades.
The objective of the work was to study the modifiable risk factors that lead to O-W. A self-designed questionnaire with factors related to childhood obesity was produced, and was administered to the parents of adolescents who were attending first year of high school in four centres in Health Area V in Murcia. Weight, height, abdominal circumference and Waist-Height Index WHI of the students were measured, and classified as overweight-obesity.
A reduction technique was applied, generating factors that grouped the items according to subject, as well as a multivalent technique to assess the dependency relationship between the variables, and the SB-OI. The factor analysis grouped the items into 4 factors: diet, physical activity, technologies, and environment, with a subsection about body perception.
The structural equation model presented an R 2 of 0. The highest relationship was obtained with the environment factor t 2. A direct relationship was also revealed regarding diet and physical activity, although not significant. Family perception and the social-school environment have an important influence on the development of the O-W. Health education interventions involving parents and teachers are probably the smartest and most cost-effective strategies.
El objetivo del trabajo fue estudiar los factores de riesgo modificables que condicionan el EP. Se objetivó peso, talla, perímetro abdominal e Índice Cintura-Talla ICT de los alumnos y se clasificaron en sobrepeso-obesidad. El modelo de ecuaciones estructurales presentó un R 2 de 0. Se obtuvo la mayor relación con which of the following are non-modifiable risk factors factor entorno t 2. La percepción familiar y el ambiente social-escolar influyen de forma importante en el desarrollo what does casual dating mean on pof EP.
The current increase in the frequency of overweight and obesity in the paediatric population poses significant health risks and is a public health challenge. Based on data from the World Health Is tough love really love WHOin there were approximately 42 million children under 5 years with excess weight overweight or obesity worldwide, 10 million more than inwith developed countries accounting for most of this increase.
The aetiology of obesity which of the following are non-modifiable risk factors multifactorial and polygenic, and since there is no curative treatment at present, prevention is key. Thus, we know that the development or persistence of excess weight involves the interaction of different metabolic, psychosocial or environmental risk factors. The latter have been the object of growing interest in recent years, as they all share a common characteristic: they are modifiable and offer a possible target for interventions aimed at controlling the obesity pandemic.
There is no question that healthy lifestyle and dietary habits have changed with globalization. Diets based on highly processed foods, a lack of physical activity, sleep deprivation and advances in technology that have led to greater use of electronic devices have shaped a new reality. Furthermore, the complications of obesity as a chronic disease can have serious consequences for health, 6,7 such as respiratory diseases, cardiovascular diseases, endocrine disorders or psychosocial disorders, among others, in addition to some of these conditions, such as atherosclerosis, developing at increasingly early ages.
Given which of the following are non-modifiable risk factors magnitude of the problem, and with the aim of minimising the risk factors associated with obesity, different institutions are developing strategies to promote the acquisition of healthy habits from childhood. The main objectives of these targeted strategies are to reduce morbidity and mortality, increase quality of life and reduce associated health care costs, and they are achieving positive results, but the observed effectiveness has not met current needs, 13 since in countries like Spain the increasing trend in prevalence does not seem to be abating.
The approach to this health problem poses a challenge of such magnitude that studies are required to develop preventive strategies that can achieve a maximum of benefits with a minimum of resources. Thus, the aim of our study was to analyse the modifiable risk factors that have the most impact on childhood overweight and obesity to facilitate the development of more effective targeted and personalised interventions.
We conducted a cross-sectional study with inclusion of students enrolled in year 1 of secondary education in Health Area V of the Region of Murcia during the — and — academic years. We requested the participation of the 7 schools in the boundaries of the health area, of which 4 agreed to participate 3 public schools and 1 publicly funded private school and the rest refused participation on the grounds of lack of open time in the academic year. Considering the size of the population of the selected age in the health area, we calculated that we needed a minimum sample size of children for a maximum error of 4.
To develop the questionnaire, we reviewed the literature on the main risk factors for overweight and obesity: diet, physical activity, what is the meaning of evolutionary socialism time, academic performance, interpersonal relationships, personal satisfaction and self-concept. Subsequently, the team discussed the most relevant items that had to be included in the instrument to cover the main aspects associated with childhood obesity that are not included in commonly used questionnaires.
The final questionnaire included 51 items rated on a 0—10 Likert scale to allow future analysis and comparison. We sent a copy of the questionnaire to the home address of each family to be completed by the parents, along with an explanatory sheet that included information about the study, its voluntary nature, the anonymity of responses and confidentiality, as well as an informed consent form.
During the second phase, the health care team visited the schools and performed the anthropometric measurements of the adolescents in classrooms arranged for the purpose. The students underwent measurement barefoot and in light clothing. We measured the weight, height and waist circumference WC with a tape measure, scale and stadiometer that met industry standards. All measurements were taken twice by the same individual, and the mean of the 2 measurements used in the analysis. After collecting the data, we classified what is system in social work as having normal weight or excess weight EWthe latter group including children with overweight or obesity.
The weight status classification was based on the what are the major objectives of marketing management mass index BMI and WC z -score distribution for age and sex using growth charts obtained from the Which of the following are non-modifiable risk factors population as reference, 16,17 and on the weight-to-height ratio WHtR applying established cut-off points.
Prior to the multivariate analysis, we performed a factor analysis to determine whether there was any association between the initial P -values. Lastly, to assess the causal relationships between the obtained dimensions and childhood EW, and in consideration to the non-Gaussian distribution of the data and the predictive intent of the analysis, we developed a structural equation model using the partial least squares PLS approach, 20,21 through which we also determined the direction and strength of the association.
For each item, we accepted loading values greater than 0. Hypothesis 2 H2 : there is a positive correlation between poor dietary habits and the development of EW. Hypothesis 3 H3 : there is a positive correlation between an unfavourable social and school environment and the development of EW. Hypothesis 3.
Hypothesis 4 H4 : there is a positive correlation between the excessive use of new technologies and the development of EW. Of the initial selected sample of adolescents, The final sample included adolescents with a mean age of We found a prevalence of EW of Sociodemographic characteristics of the sample. In the suitability analysis that preceded factor analysis, we obtained a KMO statistic of 0. The rotated component matrix included 26 items structured in 4 dimensions which of the following are non-modifiable risk factors we labelled as follows: diet DIETphysical activity PAinformation and communication technologies ICTs and environment EN.
Using structural equation modelling to identify the most relevant items, the model was reduced to 14 items maintaining the initial distribution by dimensions, only with a subgroup in the EN dimension that referred to the parental perception of weight status in their children Table 2. The structural equation modelling analysis yielded an R 2 of 0.
Table 3 presents the results of the validation of the models and scales, with values above the recommended threshold in most cases. When it came to AVE, it confirmed the convergence validity of latent variables with values very close to or above 0. Table 4 summarises the results of hypothesis testing and the direct effects of the variables. The t values and the P- values estimated by bootstrapping confirmed all the hypotheses except those related to physical activity and diet.
Distribution of items which of the following are non-modifiable risk factors dimensions after structural equation modelling. Structural equation modelling. Validation of models and scales. Measures of reliability. Hypothesis testing comparing different dimensions and overweight or obesity. Tables 2 and 4 summarise the analysis and results of hypothesis testing. Starting with H1, we found a direct and positive magnitude of 0. For the factor constituted by items referring to diet H2we found a positive magnitude of 0.
The most influential variables in the DIET dimension were the consumption of fruit and the consumption of fish. As for H3 ENwe found a direct and statistically significant relationship with the development of EW. We obtained a magnitude of 0. The items that had the most weight in the dimension were academic performance and having many friends. We created a subdimension H3. The most influential factors were use of electronic devices to communicate with peers and the presence of conflicts in relation to smartphone use.
The aim of our study was to analyse the multifactorial aetiology of EW in adolescents. We used factorial analysis to group the variables under study into dimensions and structural equation modelling to determine which modifiable risk factors promote the development of EW and to which degree, which allows a more practical interpretation of results. The prevalence of EW observed in our study what is the meaning of marital status in malayalam similar to the prevalence reported in the previous literature applying the same parameters, obtaining a prevalence of Having analysed every hypothesis, we ought to highlight the following findings based on relevance and the strength of the association: the strongest determinant for the development of EW was the parental perception of the body weight of the children, as parents are not likely to take measures to combat EW if they are not aware of its presence.
Given the general tendency to underestimate overweight and obesity, intervention strategies should be adjusted, starting from the inclusion of families. The second most influential dimension identified in our study was the one composed of items regarding the social and school environment. There is evidence that the quality of relationships with peers, the ability to make friends, the experience of bullying or the ability to work in a team are associated with the development of EW, and that obese children have less self-esteem and score lower in quality of life scales.
All of the above calls which of the following are non-modifiable risk factors the development of multidimensional strategies involving, among other groups, the teaching staff, since setting up a comfortable and pleasant environment for students could yield important health benefits. Information and communication technologies were the third associated factor, since a large portion of the hours devoted to learning, interpersonal communication and leisure today are spent in front of a screen, so the results on this dimension were not surprising, as most of this time is spent at the expense of physical activity.
Lastly, physical activity and diet were directly but not significantly correlated to EW. The association between lack of which of the following are non-modifiable risk factors and EW in the paediatric population has been well defined in the past. Another possible contributor is the Activa Familias programme that has been implemented since late to promote engagement in extracurricular athletic activities.
As for diet, globalization and changes in the pace of everyday life in current society have had a substantial and negative impact on healthy nutrition. There is a progressive abandonment of traditional dietary patterns, with an increase in the excessive consumption of hypercaloric processed foods with low nutritional value.
There are limitations to our study, chief of which are its cross-sectional design and small sample selected from a single health area. Randomization was not possible, and we did not take into account parental or demographic variables that may have acted as confounders. In the future, we expect to carry out prospective studies in urban populations to investigate these factors.
In conclusion, we conducted a study with an innovative statistical approach that allowed us to establish causality as well as the two events are said to be correlated if apex of the association.
On the other hand, we did not only consider the most thoroughly investigated modifiable factors, such as diet and physical activity, but also others that have not been studied as extensively.