896 resultados para large sample distributions


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Chronotype is an established concept designed to identify distinct phase relationships between the expression of circadian rhythms and external synchronizers in humans. Although it has been widely accepted that chronotype is subjected to ontogenetic modulation, there is no consensus on the interaction between age and gender. This study aimed to determine the relationship between age- and gender-related changes in the morningness-eveningness character in a large sample of people. A total of 14,650 volunteers were asked to complete the Brazilian version of the Horne and Östberg chronotype questionnaire. The data demonstrated that, on average, women were more morning-oriented than men until the age of 30 and there were no significant differences between men and women from 30 to 45 years of age. In contrast to the situation observed until the age of 30, women older than 45 years were more evening-oriented than men. These results suggest that the ontogenetic development of the circadian timekeeping system is more plastic in men, as represented by the larger amplitude of chronotype changes throughout their aging process. The phase delay of adolescence and phase advance of the elderly seem to be phenomena that are more markedly present in men than in women. Thus, our data, for the first time, provide support that sharply opposes the view that there is a single path toward morningness as a function of age, regardless of gender.

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The increased awareness and evolved consumer habits have set more demanding standards for the quality and safety control of food products. The production of foodstuffs which fulfill these standards can be hampered by different low-molecular weight contaminants. Such compounds can consist of, for example residues of antibiotics in animal use or mycotoxins. The extremely small size of the compounds has hindered the development of analytical methods suitable for routine use, and the methods currently in use require expensive instrumentation and qualified personnel to operate them. There is a need for new, cost-efficient and simple assay concepts which can be used for field testing and are capable of processing large sample quantities rapidly. Immunoassays have been considered as the golden standard for such rapid on-site screening methods. The introduction of directed antibody engineering and in vitro display technologies has facilitated the development of novel antibody based methods for the detection of low-molecular weight food contaminants. The primary aim of this study was to generate and engineer antibodies against low-molecular weight compounds found in various foodstuffs. The three antigen groups selected as targets of antibody development cause food safety and quality defects in wide range of products: 1) fluoroquinolones: a family of synthetic broad-spectrum antibacterial drugs used to treat wide range of human and animal infections, 2) deoxynivalenol: type B trichothecene mycotoxin, a widely recognized problem for crops and animal feeds globally, and 3) skatole, or 3-methyindole is one of the two compounds responsible for boar taint, found in the meat of monogastric animals. This study describes the generation and engineering of antibodies with versatile binding properties against low-molecular weight food contaminants, and the consecutive development of immunoassays for the detection of the respective compounds.

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The ability to monitor and evaluate the consequences of ongoing behaviors and coordinate behavioral adjustments seems to rely on networks including the anterior cingulate cortex (ACC) and phasic changes in dopamine activity. Activity (and presumably functional maturation) of the ACC may be indirectly measured using the error-related negativity (ERN), an event-related potential (ERP) component that is hypothesized to reflect activity of the automatic response monitoring system. To date, no studies have examined the measurement reliability of the ERN as a trait-like measure of response monitoring, its development in mid- and late- adolescence as well as its relation to risk-taking and empathic ability, two traits linked to dopaminergic and ACC activity. Utilizing a large sample of 15- and 18-year-old males, the present study examined the test-retest reliability of the ERN, age-related changes in the ERN and other components of the ERP associated with error monitoring (the Pe and CRN), and the relations of the error-related ERP components to personality traits of risk propensity and empathy. Results indicated good test-retest reliability of the ERN providing important validation of the ERN as a stable and possibly trait-like electrophysiological correlate of performance monitoring. Ofthe three components, only the ERN was of greater amplitude for the older adolescents suggesting that its ACC network is functionally late to mature, due to either structural or neurochemical changes with age. Finally, the ERN was smaller for those with high risk propensity and low empathy, while other components associated with error monitoring were not, which suggests that poor ACe function may be associated with the desire to engage in risky behaviors and the ERN may be influenced by the extent of individuals' concern with the outcome of events.

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The purposes of this study were: a) to examine the prevalence and consequences associated with adolescent gambling, b) to examine the factors which influence adolescent gambling,. c) to detennine what factors discriminate among four groups of gamblers (no-risk/non-gamblers, low-risk gamblers, at-risk gamblers, and high-risk/problematic gamblers), and d) to examine the relation of gambling to nine other risk behaviours (i.e., alcohol use, smoking, marijuana use, hard drug use, sexual activity, minor delinquency, major delinquency, direct aggression, and indirect aggression). Adolescents (N = 3,767) from 25 secondary schools completed a twohour survey that assessed involvement in risk be~aviours as well as potential predictors from a wide range of contexts (school, neighbourhood, family, peer, and intrapersonal). The majority of adolescents reported gambling, although the frequency of gambling participation was low. The strongest predictors/discriminators of gambling involvement were gender, unstructured activities, structured activities, and risk attitudes/perceptions. In addition, the examination of the co-occurrence of gambling with other risk behaviours revealed that for high-risk/problem gamblers, the top three most frequent co-occurring high-risk behaviours were direct aggression, minor delinquency and alcohol. This study was the first to examine the continuum of gambling involvement (i.e., non-gambling to high risk/problematic gambling) using a comprehensive set ofpotential predictors with a large sample of secondary school students. The findings of this study support past research and theories (e.g., Theory of Triadic Influence) which suggest the importance ofproximal variables in predicting risk behaviors. The next step, however, will be to examine the direct and indirect 1 effects of the ultimate (e.g., temperament), distal (e.g., parental relationship), and proximal variables (e.g., risk attitudes/perceptions) on gambling involvement in a longitudinal study.

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Nonsuicidal self-injury (NSSI), which refers to the direct and deliberate destruction of bodily tissue in the absence of suicidal intent, is a serious and widespread mental health concern. Although NSSI has been differentiated from suicidal behavior on the basis of non-lethal intent, research has shown that these two behaviors commonly co-occur. Despite increased research on the link between NSSI and suicidal behavior, however, little attention has been given as to why these two behaviors are associated. My doctoral dissertation specifically addressed this gap in the literature by examining the link between NSSI and several measures of suicidal risk (e.g., suicidal ideation, suicidal attempts, pain tolerance) among a large sample of young adults. The primary goal of my doctoral research was to identify individuals who engaged in NSSI at risk for suicidal ideation and attempts, in an effort to elucidate the processes through which psychosocial risk, NSSI, and suicidal risk may be associated. Participants were drawn from a larger sample of 1153 undergraduate students (70.3% female) at a mid-sized Canadian University. In study one, I examined whether increases in psychosocial risk and suicidal ideation were associated with changes in NSSI engagement over a one year period. Analyses revealed that beginners, relapsed injurers, and persistent injurers were differentiated from recovered injurers and desisters by increases in psychsocial risk and suicidal ideation over time. In study two, I examined whether several NSSI characteristics (e.g., frequency, number of methods) were associated with suicidal risk using latent class analysis. Three subgroups of individuals were identified: 1) an infrequent NSSI/not high risk for suicidal behavior group, 2) a frequent NSSI/not high risk for suicidal behavior group, and 3) a frequent NSSI/high risk for suicidal behavior group. Follow-up analyses indicated that individuals in the frequent NSSI/high risk for suicidal behavior group met the clinical cutoff score for high suicidal risk and reported significantly greater levels of suicidal ideation, attempts, and risk for future suicidal behavior as compared to the other two classes. Class 3 was also differentiated by higher levels of psychosocial risk (e.g., depressive symptoms, social anxiety) relative to the other two classes, as well as a comparison group of non-injuring young adults. Finally, in study three, I examined whether NSSI was associated with pain tolerance in a lab-based task, as tolerance to pain has been shown to be a strong predictor of suicidal risk. Individuals who engaged in NSSI to regulate the need to self-punish, tolerated pain longer than individuals who engaged in NSSI but not to self-punish and a non-injuring comparison group. My findings offer new insight into the associations among psychosocial risk, NSSI, and suicidal risk, and can serve to inform intervention efforts aimed at individuals at high risk for suicidal behavior. More specifically, my findings provide clinicians with several NSSI-specific risk factors (e.g., frequent self-injury, self-injuring alone, self-injuring to self-punish) that may serve as important markers of suicidal risk among individuals engaging in NSSI.

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This paper analyzes the dynamics of wages and workers' mobility within firms with a hierarchical structure of job levels. The theoretical model proposed by Gibbons and Waldman (1999), that combines the notions of human capital accumulation, job rank assignments based on comparative advantage and learning about workers' abilities, is implemented empirically to measure the importance of these elements in explaining the wage policy of firms. Survey data from the GSOEP (German Socio-Economic Panel) are used to draw conclusions on the common features characterizing the wage policy of firms from a large sample of firms. The GSOEP survey also provides information on the worker's rank within his firm which is usually not available in other surveys. The results are consistent with non-random selection of workers onto the rungs of a job ladder. There is no direct evidence of learning about workers' unobserved abilities but the analysis reveals that unmeasured ability is an important factor driving wage dynamics. Finally, job rank effects remain significant even after controlling for measured and unmeasured characteristics.

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This note investigates the adequacy of the finite-sample approximation provided by the Functional Central Limit Theorem (FCLT) when the errors are allowed to be dependent. We compare the distribution of the scaled partial sums of some data with the distribution of the Wiener process to which it converges. Our setup is purposely very simple in that it considers data generated from an ARMA(1,1) process. Yet, this is sufficient to bring out interesting conclusions about the particular elements which cause the approximations to be inadequate in even quite large sample sizes.

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Conditional heteroskedasticity is an important feature of many macroeconomic and financial time series. Standard residual-based bootstrap procedures for dynamic regression models treat the regression error as i.i.d. These procedures are invalid in the presence of conditional heteroskedasticity. We establish the asymptotic validity of three easy-to-implement alternative bootstrap proposals for stationary autoregressive processes with m.d.s. errors subject to possible conditional heteroskedasticity of unknown form. These proposals are the fixed-design wild bootstrap, the recursive-design wild bootstrap and the pairwise bootstrap. In a simulation study all three procedures tend to be more accurate in small samples than the conventional large-sample approximation based on robust standard errors. In contrast, standard residual-based bootstrap methods for models with i.i.d. errors may be very inaccurate if the i.i.d. assumption is violated. We conclude that in many empirical applications the proposed robust bootstrap procedures should routinely replace conventional bootstrap procedures for autoregressions based on the i.i.d. error assumption.

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Thèse par articles. Articles (4) annexés à la thèse en fichiers complémentaires.

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Selon plusieurs auteurs, l’intelligence générale et les traits de personnalité sont des construits fondamentaux nécessaires à l’adaptation psychosociale des individus. Bien que plusieurs études menées à partir d’échantillons d’adultes aient démontré des liens significatifs entre ces deux construits, peu d’entre elles ont tenté de vérifier si ces relations pouvaient être observées aussi chez les adolescents. De plus, un nombre très restreint d’études ont étudié la question de savoir si les relations entre l’intelligence générale et les traits de personnalité étaient significatives de façon prospective avec un intervalle de temps entre les évaluations. Enfin, les études disponibles ne permettent pas de déterminer si les relations entre l’intelligence générale et les traits de personnalité sont différentes selon le sexe. La présente étude visait à combler ces vides. Les objectifs étaient, d’une part, de déterminer s’il existe des relations prédictives concurrentes et prospectives entre l’intelligence générale et les traits de personnalité chez les adolescents et, d’autre part, de vérifier si ces relations sont différentes entre les garçons et les filles. Les données utilisées proviennent de l’étude longitudinale de la Stratégie d’intervention agir autrement (SIAA). Un large échantillon d’adolescents évalués une première fois en secondaire un et réévalués à nouveau quatre ans plus tard en secondaire cinq a été employé. À la première vague de collecte de données, seule l’intelligence générale a été évaluée, tandis qu’à la deuxième vague, autant l’intelligence générale que les traits de personnalité l’ont été. La modélisation par équations structurales sur des variables latentes a été utilisée pour tester les différentes hypothèses de recherche. Les résultats ont démontré que, sur le plan concurrent, l’intelligence générale et tous les traits de personnalité considérés sont reliés significativement de façon positive, ce qui va partiellement à l’encontre des données obtenues à partir des échantillons d’adultes. Sur le plan prospectif, les résultats ont confirmé que les corrélations diminuent avec le temps, et ce, pour presque tous les traits étudiés. Finalement, les modèles d’équations structurales multi-groupes ont confirmé la présence de différences significatives entre les garçons et les filles pour certains traits de personnalité. Dans l’ensemble, bien que plusieurs résultats de la présente étude obtenus à partir d’un échantillon d’adolescents soient conformes à ceux observés auprès d’échantillons d’adultes, certaines différences intéressantes sont observées.

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Le somnambulisme est un trouble du sommeil fréquent qui affecte jusqu’à 4% de la population adulte et comporte un risque important de blessures. Les mécanismes à la base du somnambulisme demeurent méconnus mais il a été historiquement associé à la présence de psychopathologie. À ce jour, la majorité des efforts de recherche se sont concentrés autour des manifestations nocturnes du somnambulisme, tandis que très peu d’études se sont intéressées aux conséquences diurnes. Le premier objectif de cette thèse était de préciser le lien entre le somnambulisme et la psychopathologie en mesurant la prévalence de symptômes dépressifs et anxieux au sein d’un large échantillon de somnambules. Les résultats ont montré que seule une minorité de patients présentait des symptômes significatifs de psychopathologie et que le profil clinique des patients avec et sans symptômes de psychopathologie était globalement similaire. Les patients qui présentaient les symptômes anxiodépressifs les plus sévères ont néanmoins rapporté dans une plus faible proportion avoir une histoire familiale de somnambulisme comparativement aux autres patients. À l’inverse, ils ont rapporté souffrir de cauchemars dans une plus grande proportion. Le second objectif de cette thèse était de mieux documenter les conséquences diurnes du somnambulisme. La deuxième étude a montré que près de la moitié des somnambules présentaient des niveaux pathologiques de somnolence diurne. Toutefois, la somnolence ne s’est révélée associée à aucun des marqueurs polysomnographiques de fragmentation et de profondeur du sommeil. La troisième étude a quant à elle montré qu’une privation de 25h de sommeil avait chez les somnambules un impact négatif sur les capacités d’inhibition motrice comparativement aux contrôles. Cette diminution de la performance n’était toutefois pas associée à la fragmentation du sommeil chez les somnambules. De plus, la privation de sommeil n’a pas eu d’effet différentiel sur la capacité d’attention soutenue des somnambules. Enfin, aucune différence de performance aux tâches neuropsychologiques n’a été observée entre les groupes à l’état d’éveil normal. Dans l’ensemble, cette thèse suggère que la majorité des somnambules ne présente pas de signe de psychopathologie significative. Les résultats mettent cependant en évidence la présence d’altérations significatives du fonctionnement diurne. Le caractère idiopathique de ces altérations fonctionnelles suggère qu’elles pourraient être liées aux mécanismes physiopathologiques à la base du somnambulisme. L’étude des phénomènes diurnes constitue donc une avenue de recherche prometteuse afin de mieux comprendre les impacts cliniques et les mécanismes à la base du somnambulisme.

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In den letzten Jahrzehnten haben sich makroskalige hydrologische Modelle als wichtige Werkzeuge etabliert um den Zustand der globalen erneuerbaren Süßwasserressourcen flächendeckend bewerten können. Sie werden heutzutage eingesetzt um eine große Bandbreite wissenschaftlicher Fragestellungen zu beantworten, insbesondere hinsichtlich der Auswirkungen anthropogener Einflüsse auf das natürliche Abflussregime oder der Auswirkungen des globalen Wandels und Klimawandels auf die Ressource Wasser. Diese Auswirkungen lassen sich durch verschiedenste wasserbezogene Kenngrößen abschätzen, wie z.B. erneuerbare (Grund-)Wasserressourcen, Hochwasserrisiko, Dürren, Wasserstress und Wasserknappheit. Die Weiterentwicklung makroskaliger hydrologischer Modelle wurde insbesondere durch stetig steigende Rechenkapazitäten begünstigt, aber auch durch die zunehmende Verfügbarkeit von Fernerkundungsdaten und abgeleiteten Datenprodukten, die genutzt werden können, um die Modelle anzutreiben und zu verbessern. Wie alle makro- bis globalskaligen Modellierungsansätze unterliegen makroskalige hydrologische Simulationen erheblichen Unsicherheiten, die (i) auf räumliche Eingabedatensätze, wie z.B. meteorologische Größen oder Landoberflächenparameter, und (ii) im Besonderen auf die (oftmals) vereinfachte Abbildung physikalischer Prozesse im Modell zurückzuführen sind. Angesichts dieser Unsicherheiten ist es unabdingbar, die tatsächliche Anwendbarkeit und Prognosefähigkeit der Modelle unter diversen klimatischen und physiographischen Bedingungen zu überprüfen. Bisher wurden die meisten Evaluierungsstudien jedoch lediglich in wenigen, großen Flusseinzugsgebieten durchgeführt oder fokussierten auf kontinentalen Wasserflüssen. Dies steht im Kontrast zu vielen Anwendungsstudien, deren Analysen und Aussagen auf simulierten Zustandsgrößen und Flüssen in deutlich feinerer räumlicher Auflösung (Gridzelle) basieren. Den Kern der Dissertation bildet eine umfangreiche Evaluierung der generellen Anwendbarkeit des globalen hydrologischen Modells WaterGAP3 für die Simulation von monatlichen Abflussregimen und Niedrig- und Hochwasserabflüssen auf Basis von mehr als 2400 Durchflussmessreihen für den Zeitraum 1958-2010. Die betrachteten Flusseinzugsgebiete repräsentieren ein breites Spektrum klimatischer und physiographischer Bedingungen, die Einzugsgebietsgröße reicht von 3000 bis zu mehreren Millionen Quadratkilometern. Die Modellevaluierung hat dabei zwei Zielsetzungen: Erstens soll die erzielte Modellgüte als Bezugswert dienen gegen den jegliche weiteren Modellverbesserungen verglichen werden können. Zweitens soll eine Methode zur diagnostischen Modellevaluierung entwickelt und getestet werden, die eindeutige Ansatzpunkte zur Modellverbesserung aufzeigen soll, falls die Modellgüte unzureichend ist. Hierzu werden komplementäre Modellgütemaße mit neun Gebietsparametern verknüpft, welche die klimatischen und physiographischen Bedingungen sowie den Grad anthropogener Beeinflussung in den einzelnen Einzugsgebieten quantifizieren. WaterGAP3 erzielt eine mittlere bis hohe Modellgüte für die Simulation von sowohl monatlichen Abflussregimen als auch Niedrig- und Hochwasserabflüssen, jedoch sind für alle betrachteten Modellgütemaße deutliche räumliche Muster erkennbar. Von den neun betrachteten Gebietseigenschaften weisen insbesondere der Ariditätsgrad und die mittlere Gebietsneigung einen starken Einfluss auf die Modellgüte auf. Das Modell tendiert zur Überschätzung des jährlichen Abflussvolumens mit steigender Aridität. Dieses Verhalten ist charakteristisch für makroskalige hydrologische Modelle und ist auf die unzureichende Abbildung von Prozessen der Abflussbildung und –konzentration in wasserlimitierten Gebieten zurückzuführen. In steilen Einzugsgebieten wird eine geringe Modellgüte hinsichtlich der Abbildung von monatlicher Abflussvariabilität und zeitlicher Dynamik festgestellt, die sich auch in der Güte der Niedrig- und Hochwassersimulation widerspiegelt. Diese Beobachtung weist auf notwendige Modellverbesserungen in Bezug auf (i) die Aufteilung des Gesamtabflusses in schnelle und verzögerte Abflusskomponente und (ii) die Berechnung der Fließgeschwindigkeit im Gerinne hin. Die im Rahmen der Dissertation entwickelte Methode zur diagnostischen Modellevaluierung durch Verknüpfung von komplementären Modellgütemaßen und Einzugsgebietseigenschaften wurde exemplarisch am Beispiel des WaterGAP3 Modells erprobt. Die Methode hat sich als effizientes Werkzeug erwiesen, um räumliche Muster in der Modellgüte zu erklären und Defizite in der Modellstruktur zu identifizieren. Die entwickelte Methode ist generell für jedes hydrologische Modell anwendbar. Sie ist jedoch insbesondere für makroskalige Modelle und multi-basin Studien relevant, da sie das Fehlen von feldspezifischen Kenntnissen und gezielten Messkampagnen, auf die üblicherweise in der Einzugsgebietsmodellierung zurückgegriffen wird, teilweise ausgleichen kann.

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Texture provides one cue for identifying the physical cause of an intensity edge, such as occlusion, shadow, surface orientation or reflectance change. Marr, Julesz, and others have proposed that texture is represented by small lines or blobs, called 'textons' by Julesz [1981a], together with their attributes, such as orientation, elongation, and intensity. Psychophysical studies suggest that texture boundaries are perceived where distributions of attributes over neighborhoods of textons differ significantly. However, these studies, which deal with synthetic images, neglect to consider two important questions: How can these textons be extracted from images of natural scenes? And how, exactly, are texture boundaries then found? This thesis proposes answers to these questions by presenting an algorithm for computing blobs from natural images and a statistic for measuring the difference between two sample distributions of blob attributes. As part of the blob detection algorithm, methods for estimating image noise are presented, which are applicable to edge detection as well.

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Introducción: El TDAH tiene un componente genético importante; el gen de transportador de Dopamina (DAT1) se ha asociado con susceptibilidad al TDAH y con sus endofenotipos. El VNTR de 40pb en la región 3’UTR aumenta la expresión del DAT1. En Colombia no hay ningún estudio previo que indique evidencia de la asociación genética entre TDAH y el gen DAT1. Objetivo: Determinar asociación entre el VNTR del DAT1 y el fenotipo y/o endofenotipos del TDAH. Métodos: Se seleccionaron 73 pacientes con TDAH y 75 controles, se valoró en los casos inteligencia y funciones ejecutivas. Mediante (PCR) se amplificó el VNTR DAT1. Se establecieron estadísticos genético poblacionales, análisis de asociación y de regresión logística entre las pruebas neuropsicológicas y genotipo. Resultado: El polimorfismo del DAT1 no mostró asociación con TDAH, ni con alteraciones en las funciones ejecutivas. El genotipo 10/10 del VNTR DAT1 se encontró asociado con el índice de velocidad de procesamiento (p <0,05). En el subgrupo hiperactividad hubo asociación con algunas subpruebas de flexibilidad cognitiva, número de respuestas correctas, total de errores, número de respuestas perseverativas (p ≤ 0.01). En el subgrupo mixto se asoció con índice de comprensión verbal (p <0,05). Conclusiones: No hubo asociación entre el polimorfismo VNTR (DAT1) y el fenotipo de TDAH. Se encontraron asociaciones entre genotipo y algunos test de flexibilidad cognitiva e índice de comprensión verbal. Se establecieron los estadísticos genético poblacionales de este polimorfismo para la población analizada, el cual corresponde al primer reporte de una muestra de nuestro país.

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El objetivo de este documento es evaluar empíricamente el efecto que tiene una mayor o menor exposición del programa Proniño de la Fundación Telefónica en la cantidad de horas trabajadas de los niños, niñas y adolescentes. Tomando información desde el 2010 y hasta el 2012 se evalúa empíricamente el impacto en la duración a la exposición del tratamiento, eliminando el sesgo de selección por duración a través de la metodología de Propensity Score Matching. Los resultados muestran que la exposición al tratamiento sí logra reducir el número de horas trabajadas de los niños, niñas y adolescentes, alcanzando los niveles más altos de reducción cuando el tiempo de exposición al programa es más amplio; en este caso, tres años y particularmente para el grupo de edad comprendido entre los 12 a 14 años. Finalmente se evidencia que el programa es más efectivo en la reducción del número de horas trabajadas a la semana de los niños (hombres) que de las niñas (mujeres).