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2.
Child Adolesc Psychiatry Ment Health ; 16(1): 36, 2022 May 16.
Article in English | MEDLINE | ID: mdl-35578343

ABSTRACT

BACKGROUND: While resilience has generated a lot of interest in mental health, operationalizing the construct of resilience remains an important challenge. This study aims to evaluate the concordance of two resilience scales that evaluate intrapersonal aspects of resilience in adolescents. METHODS: Cross-sectional evaluation of internal consistency, concordance, and correlation of the Individual Protective Factors Index Questionnaire (IPFI) and the Adolescent Resilience Scale (ARS) in sixth grade students of three low-income public schools in Colombia. RESULTS: 325 adolescents (41.5% female) participated in the study (72.5% response rate). Mean age was 12.1 years (standard deviation [SD]: 1.04). Of a possible score from 1-4, the mean adjusted IPFI score was 3.3 (SD: 0.3; Cronbach's alpha: 0.87). Of a possible score from 21-105, the total ARS score was 76.4 (SD 13.0; Cronbach's alpha: 0.82); both distributions were non-normal and left-skewed. The Lin's concordance correlation coefficient was 0.34 and the Spearman correlation coefficient was 0.52 (p-value < 0.0001 for both). Notably, 10 adolescents (3.1% of the sample) had a score in the lowest quartile in one of the two instruments, and a score in the highest quartile in the other instrument. CONCLUSIONS: There was low concordance between the scales, with notable lack of overlap in who was identified as having "low" levels of resilience. To better elucidate and operationalize the construct of resilience, studies using resilience scales should consider greater focus in understanding what aspects of the construct are being measured and how they relate to meaningful variables (well-being, risk of illness, etc.).

3.
Psychol Health Med ; 26(3): 375-380, 2021 03.
Article in English | MEDLINE | ID: mdl-32314943

ABSTRACT

There are not many direct comparisons of anxiety and depression symptoms between medicine students and the general population. This study aimed to determine the type of anxiety and depression symptoms at a medical school in Bogota (Colombia), and to compare the findings with population data. All students enrolled at a medical school were invited to participate in 2017. The Self-Reporting Questionnaire was applied to measure anxious and depressive symptoms. These findings were compared with data from the National Survey of Mental Health 2015 that were obtained with the same instrument in the same age range (18-25 years). A total of 554 students participated in the survey (70% response rate); 477 were between 18 and 25 years old. Anxiety symptoms (≥5) were reported by 44.9% of the medical students and 6.8% of the general population, and depression symptoms (≥7) were reported by 33.9% and 2.6%, respectively. The most prevalent symptoms reported by the medical students were fatigue, lack of sleep, and feeling tired all the time. In turn, the general population reported headaches, fear, nervousness, tension, and uneasiness. All comparisons showed p-values < 0.01. As prevalence is higher and symptom profile is different, specific policies are needed to reduce risk throughout medical degree programmes.


Subject(s)
Anxiety/epidemiology , Depression/epidemiology , Students, Medical/psychology , Adolescent , Adult , Colombia/epidemiology , Cross-Sectional Studies , Female , Health Surveys , Humans , Male , Prevalence , Students, Medical/statistics & numerical data , Young Adult
4.
Teach Learn Med ; 33(1): 1-9, 2021.
Article in English | MEDLINE | ID: mdl-32856468

ABSTRACT

Phenomenon: Mental health problems among medical students are a worrisome issue; recent studies have shown that one-third may be suffering major depressive disorder and one out of ten had suicidal ideation. Few studies have evaluated the association of medical students' mental health and their sexual orientation. This study aimed to evaluate differences in mental health indicators among medical students with diverse sexual orientations at a South American medical school. Approach: This study is a secondary analysis of cross-sectional data obtained through an electronic survey. The survey assessed demographics, academic variables, and several mental health scales and indexes, including: World Health Organization Well-being Index, Satisfaction With Life Scale, Family APGAR (Adaptability, Partnership, Growth, Affection, and Resolve), Self-Reporting Questionnaire, Athens Insomnia Scale, Eating Attitudes Test, and Alcohol Use Disorders Identification Test. Sexual orientation was assessed using self-identification and responses dichotomized as heterosexual and non-heterosexual. Findings: 554 students completed the survey (response rate: 70%). Mean age was 20.6 years, and the sample was 58.7% women. Eighty-two participants (14.8%) self-identified as non-heterosexual; this group comprised mostly males, fewer of whom lived with their family, and more of whom used loans or scholarships to pay university tuition fees. After adjustment for sex and tuition fee payment, non-heterosexual orientation was significantly associated (adjusted Odds Ratios [aOR] above 3.00) with rating mental health as bad, self-perceiving a need for mental health evaluation/treatment, and reporting last-year use of psychiatric medication. Lastly, non-heterosexual respondents reported more frequent psychiatric symptoms (depression/anxiety scores, suicidal ideation, eating disorder symptoms and substance use) with an aOR between 2.17 and 2.51. Insights: This study suggests that self-identified non-heterosexual medical students exhibit worse mental health outcomes evaluated through validated self-report scales and subjective perception of mental health status. This report specifically indicates that non-heterosexual medical students report family dysfunction more often and have less social support, which serve as additional risk factors. Future studies must assess social support, clarify the impact of family and peer support in mental health problems, and explore students' views on their sexual identity and the burden imposed by experiences of discrimination.


Subject(s)
Mental Disorders/epidemiology , Mental Health/statistics & numerical data , Sexual Behavior/psychology , Sexual and Gender Minorities/psychology , Students, Medical/psychology , Substance-Related Disorders/epidemiology , Adult , Colombia , Cross-Sectional Studies , Female , Humans , Male , Quality of Life/psychology , Self Concept , Sexual Behavior/statistics & numerical data , Sexual and Gender Minorities/statistics & numerical data , Students, Medical/statistics & numerical data , Young Adult
5.
Chemistry ; 20(47): 15505-17, 2014 Nov 17.
Article in English | MEDLINE | ID: mdl-25284685

ABSTRACT

Water-borne phosphine-functionalized core-cross-linked micelles (CCM) consisting of a hydrophobic core and a hydrophilic shell were obtained as stable latexes by reversible addition-fragmentation chain transfer (RAFT) in water in a one-pot, three-step process. Initial homogeneous aqueous-phase copolymerization of methacrylic acid (MAA) and poly(ethylene oxide) methyl ether methacrylate (PEOMA) is followed by copolymerization of styrene (S) and 4-diphenylphosphinostyrene (DPPS), yielding P(MAA-co-PEOMA)-b-P(S-co-DPPS) amphiphilic block copolymer micelles (M) by polymerization-induced self-assembly (PISA), and final micellar cross-linking with a mixture of S and diethylene glycol dimethacrylate. The CCM were characterized by dynamic light scattering and NMR spectroscopy to evaluate size, dispersity, stability, and the swelling ability of various organic substrates. Coordination of [Rh(acac)(CO)2 ] (acac=acetylacetonate) to the core-confined phosphine groups was rapid and quantitative. The CCM and M latexes were then used, in combination with [Rh(acac)(CO)2 ], to catalyze the aqueous biphasic hydroformylation of 1-octene, in which they showed high activity, recyclability, protection of the activated Rh center by the polymer scaffold, and low Rh leaching. The CCM latex gave slightly lower catalytic activity but significantly less Rh leaching than the M latex. A control experiment conducted in the presence of the sulfoxantphos ligand pointed to the action of the CCM as catalytic nanoreactors with substrate and product transport into and out of the polymer core, rather than as a surfactant in interfacial catalysis.

6.
Dalton Trans ; 42(25): 9148-56, 2013 Jul 07.
Article in English | MEDLINE | ID: mdl-23487263

ABSTRACT

Well defined star copolymers have been prepared by copper-catalyzed atom transfer radical copolymerization of styrene and styryldiphenylphosphine starting from a modified Boltorn™ H30 multifunctional initiator. These polymers and an analogue obtained by debromination of the arm ends with nBu3SnH have been used in combination with [Rh(acac)(CO)2] for the homogeneous phase hydroformylation of 1-octene.


Subject(s)
Alkenes/chemistry , Copper/chemistry , Phosphines/chemistry , Polystyrenes/chemical synthesis , Catalysis , Free Radicals/chemical synthesis , Free Radicals/chemistry , Models, Molecular , Molecular Structure , Polymerization , Polystyrenes/chemistry
7.
Rev. ing. bioméd ; 4(8): 41-56, jul.-dic. 2010. ilus, graf, tab
Article in Spanish | LILACS | ID: lil-590329

ABSTRACT

En este artículo se presenta el desarrollo de un algoritmo para la estimación de la velocidad de los movimientos básicos de la mano usando redes neuronales artificiales a partir del sensado de la actividad electromiográfica del antebrazo. Parala implementación de dicho algoritmo fue necesario adaptar un modelo funcional de laboratorio para la medición de la velocidad, usando procesado digital de imágenes, presentando un error bajo en la medición de velocidad. Asimismo, para la estimación de velocidad a partir del análisis de la sEMG (señal electromiográfica superficial) se escogió una red NARX (nonlinear autoregressive network with exogenous inputs) como resultado de la comparación de diversas topologías de redes neuronales dinámicas. Losresultados mostrados evidencian una aproximación adecuada en la estimación de velocidad, que sirve como punto de comparación al usarse metodologías diferentes para obtener los perfiles de velocidad.


In this paper an algorithm for estimating the speed of the basic hand movements using artificial neural networksbased on recorded electromyographic activity at the forearm is presented. To implement this algorithm it was necessary to adapt amodel for measuring the speed, using digital image processing, which presented a low error rate measurement. Likewise, for speedestimation, a NARX network (network nonlinear autoregressive with exogenous inputs) was chosen after comparing differentdynamic neural network topologies. The results shown demonstrated a suitable approach to the estimation of speed, which servesas a comparison to the different methodologies used to obtain the velocity profiles.


Subject(s)
Artificial Limbs , Electromyography/instrumentation , Neural Networks, Computer , Outflow Velocity Measurement , Arm
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