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Relevant bibliographies by topics / Stress in adolescence – Texas

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Academic literature on the topic 'Stress in adolescence – Texas'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Stress in adolescence – Texas"

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Shen, Yishan, Eunjin Seo, Dorothy Clare Walt, and Su Yeong Kim. "Stress of Language Brokering and Mexican American Adolescents’ Adjustment: The Role of Cumulative Risk." Journal of Early Adolescence 40, no. 3 (2019): 400–425. http://dx.doi.org/10.1177/0272431619847526.

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This study focused on early adolescents’ stress of language brokering and examined the moderating role of family cumulative risk in the relation of language brokering to adjustment problems. Data came from self-reports of 604 low-income Mexican American adolescent language brokers (54% female; [Formula: see text]= 12.4; SD = 0.97; 75% born in the United States) and their parents (99% foreign-born) in central Texas. Path analyses revealed that brokering stress, but not frequency, was positively associated with adolescents’ adjustment problems, including depressive symptoms, anxiety, and delinquency. We also found that the relation between stress of brokering for mothers and adolescents’ depressive symptoms was stronger among families with a high cumulative risk. Further, with a high cumulative risk, adolescents exhibited delinquent behaviors regardless of the levels of stress from translating for fathers. Current findings underscore the importance of examining family contexts in assessing the consequences of language brokering for Mexican American early adolescents’ well-being.

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DuPont-Reyes, Melissa J., Alice P. Villatoro, Jo C. Phelan, Kris Painter, and Bruce G. Link. "Estimating School Race/Ethnic Enrollment Effects on Student Mental Health: Density and Diversity as a Risk or Protective Factor." Ethnicity & Disease 31, no. 2 (2021): 205–16. http://dx.doi.org/10.18865/ed.31.2.205.

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Objective: To investigate effects of school race/ethnic enrollment on mental health in early adolescence by examining both race/ ethnic density (percent non-Latinx [NL] White enrollment) and diversity (range/size of all race/ethnic groups enrolled). Variation by student race/ethnic identity is examined as minority stressors are uniquely experienced by race/ethnic minority students.Design: Longitudinal cohort from a broader mental health study.Setting: Fourteen schools in Texas (2011- 2015).Participants: Sixth-grade participants (mean age 11.5 years) linked to publicly available data about their school (N=389).Methods: Generalized estimating equations tested main effects of density/diversity on depressive-anxious symptoms across student-reported race/ethnic identity, adjusting for student/school factors. Owing to statistically significant Latinx-group differences by acculturative stress, four unique identities were generated: NL-Black, low-stress Latinx, high-stress Latinx, and NL-White—referent. Points of convergence of student mental health profiles across density/diversity were explored.Main Outcome Measures: Self-reported depressive-anxious symptoms over a two-year period.Results: A significant interaction between density and student race/ethnicity was found (P<.01), with NL-Black and low-stress Latinx vs NL-White students experiencing higher symptoms over the two-year period, net of covariates. In contrast, greater diversity was associated with higher symptoms, net of controls (P<.05). A marginally significant interaction (P=.06) revealed fewer symptoms for high-stress Latinx vs NL-White students. At about 25%, NL-White density and diversity of .5-.6, all students experienced similar mental health profiles.Conclusions: Greater NL-White density increases mental health risk for NL-Black and low-stress Latinx students, while school diversity lowers risk for high-stress Latinx students. These findings demonstrate how educational settings may produce or lessen minority stress.Ethn Dis. 2021;31(2):205- 216; doi:10.18865/ed.31.2.205

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Tucker-Drob, E. M., A. D. Grotzinger, D. A. Briley, et al. "Genetic influences on hormonal markers of chronic hypothalamic–pituitary–adrenal function in human hair." Psychological Medicine 47, no. 8 (2017): 1389–401. http://dx.doi.org/10.1017/s0033291716003068.

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BackgroundCortisol is the primary output of the hypothalamic–pituitary–adrenal (HPA) axis and is central to the biological stress response, with wide-ranging effects on psychiatric health. Despite well-studied biological pathways of glucocorticoid function, little attention has been paid to the role of genetic variation. Conventional salivary, urinary and serum measures are strongly influenced by diurnal variation and transient reactivity. Recently developed technology can be used to measure cortisol accumulation over several months in hair, thus indexing chronic HPA function.MethodIn a socio-economically diverse sample of 1070 twins/multiples (ages 7.80–19.47 years) from the Texas Twin Project, we estimated effects of sex, age and socio-economic status (SES) on hair concentrations of cortisol and its inactive metabolite, cortisone, along with their interactions with genetic and environmental factors. This is the first genetic study of hair neuroendocrine concentrations and the largest twin study of neuroendocrine concentrations in any tissue type.ResultsGlucocorticoid concentrations increased with age for females, but not males. Genetic factors accounted for approximately half of the variation in cortisol and cortisone. Shared environmental effects dissipated over adolescence. Higher SES was related to shallower increases in cortisol with age. SES was unrelated to cortisone, and did not significantly moderate genetic effects on either cortisol or cortisone.ConclusionsGenetic factors account for sizable proportions of glucocorticoid variation across the entire age range examined, whereas shared environmental influences are modest, and only apparent at earlier ages. Chronic glucocorticoid output appears to be more consistently related to biological sex, age and genotype than to experiential factors that cluster within nuclear families.

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Tarkenton, T., C. Presley, L. S. Hynan, et al. "A-43 Post-Traumatic Stress Symptoms in Sport-Related Concussion and Orthopedic Injury: An Initial Comparison." Archives of Clinical Neuropsychology 35, no. 5 (2020): 639. http://dx.doi.org/10.1093/arclin/acaa036.43.

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Abstract Objective Few studies have compared psychological responses to injury following sport-related concussion versus injury in general. The aim of this pilot investigation was to explore whether trauma-related stress symptoms differ between adolescents with sport-related concussion (SRC) vs. orthopedic injury (OI). Method Participants age 12-18 with SRC (n=48) or OI (n=12) presented to specialty clinics in the North Texas Concussion Registry (ConTex) within 21 days of injury (M= 6.7). Total scores from the PTSD Checklist for DSM-5 (PCL-5) were calculated (range=0-80). Independent t-test compared PCL-5 symptom scores between SRC and OI, and post-hoc analyses examined frequency of symptoms reported within each group. Results There was no significant difference between mean PCL-5 scores in SRC and OI groups, and both obtained scores above the typical cutoff for PTSD, defined as scores &gt;30 (range= 0-46; SRC=10%, OI=16%). Most commonly reported symptoms for both SRC and OI were sleep problems, feeling jumpy, and being “super alert.” SRC subjects were more likely to report difficulty concentrating (SRC=42%; OI=16%), while OI subjects were more likely to report feeling distant from other people (OI=50%; SRC=20%). Conclusions While total post-traumatic stress symptoms may not differ between SRC and OI groups, there may be differences in individual trauma-related symptoms based upon the nature of injury. Both injury groups may be susceptible to sleep difficulties and hypervigilance, yet SRC individuals may experience more cognitive complaints, while OI may report more feelings of isolation. Furture studies will need to use the PCL-5 with larger sample sizes and recovery indices to provide a more detailed comparison of the injury groups.

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Johnson, A. H., L. Bashore, A. Hines, J. Aufricht, A. M. Smith, and H. Pearson. "0045 Biobehavioral Markers for Sleep/Wake Disturbance and Fatigue in Young Childhood Brain Tumor Survivors." Sleep 43, Supplement_1 (2020): A18—A19. http://dx.doi.org/10.1093/sleep/zsaa056.044.

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Abstract Introduction Survivors of childhood and adolescent brain tumors and subsequent treatment may experience many neurological processes involving the forebrain, brainstem, and hypothalamus as well as the symptom cluster of stress, sleep, and fatigue. As a result, the impact of brain tumor treatment (chemotherapy/biotherapy, radiotherapy, and surgery) may have lasting biobehavioral effects. Description of symptoms during early survivorship is not always evident in the literature. Methods Convenience sampling and the following inclusion criteria were utilized: brain tumor survivors ages 8–17 years; ≥6 months, &lt;6 years from completion of treatment; disease free or stable disease. Participants completed polysomnography (PSG) followed by a multiple sleep latency test (MSLT), and subjective measures of sleep, fatigue, stress, and pubertal status. Collection of salivary biomarkers for stress (cortisol) and sleep (melatonin) was completed the evening of and morning after the PSG. Results Analysis of the first 12 participants (5 males; 3 Hispanic/Latino; average age 14 years; 9–72 months post treatment) revealed mean (minutes) total sleep time (TST) 442, sleep latency (SL) 42 and waking (WASO) 88; sleep efficiency (SE) mean 83%, There were large magnitude correlations between several variables of interest, notably PM Cortisol with fatigue, TST (r= .472; -.453); AM Cortisol with SL (r=.479); AM Melatonin with SE, SL, WASO (r= -.459; .692; .458). Average AM melatonin level (26.6 pg/dl) was higher than PM (6.66 pg/dl). Seven participants were diagnosed with clinical sleep disorders, including one with narcolepsy and two with hypersomnia. Conclusion During early survivorship after pediatric brain tumor treatment, survivors may be at high risk for sleep/wake disturbance (SWD). Morning melatonin and biomarker correlations with sleep and fatigue in this sample warrant further exploration and may be related to first night effect versus circadian rhythm differences or clinical sleep disorder. Recommendations for future practice include developmentally matched protocols and routine screening of biobehavioral markers to assess risk for stress, SWD, and fatigue. Support 1. Center for Oncology Education and Research Harris College of Nursing & Health Sciences Texas Christian University 2. Neuro-Oncology Program Hematology/Oncology Center Cook Children’s Health Care System 3. Nursing Research and Evidence-Based Practice James A. “Buddy” Davidson Endowed Fund

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Katona, Nora, and Imre Szito. "Student Stress in Adolescence." Curriculum and Teaching 15, no. 2 (2000): 49–60. http://dx.doi.org/10.7459/ct/15.2.04.

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Duarte, Josiane O., Fábio C. Cruz, Rodrigo M. Leão, Cleopatra S. Planeta, and Carlos C. Crestani. "Stress Vulnerability During Adolescence." Psychosomatic Medicine 77, no. 2 (2015): 186–99. http://dx.doi.org/10.1097/psy.0000000000000141.

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Arshad, Muhammad, Muhammad Aslam, and Nazia Tanvir. "ADOLESCENCE." Professional Medical Journal 23, no. 10 (2016): 1194–97. http://dx.doi.org/10.29309/tpmj/2016.23.10.1721.

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Objectives: of the present study was examined the relationship between bullyingand psychological problems among adolescents. Study design: 200 participant include maleand female student from 9th to 12 grades were selected from different school of Faisalabadcit. Period: Begin from4th March 2014 to 10 August 2014. Setting: The age of the sampleranged from 13 to 18 years randomly selected. Illinois Bullying Scale (Espelage, 2002) andDASS by (Lovibond, 1995) were used to measure the constructs. Results: This relationshipwas significant with bully(r = -.67, p< .001), depression (r = -.18, p< .05), and stress (r =-.22, p < .01). Construct of bullying and behavior problems demonstrated positive correlation.Movement product Multiple regression analysis displayed bully as significant positive predictorof depression (β = .25, p< .01) anxiety (β = .32, p< .001) and stress (β = .27, p< .01), whereasfight behavior significantly and positively predicted anxiety (β = .24, p< .01) and stress (β =.19, p< .05). Victim behavior was also found to be significant predictor of depression (β = .16,p< .05) and stress (β = .28, p< .01.

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Orr, Donald. "Adolescence, Stress, and Psychosomatic Issues." Journal of Adolescent Health Care 7, no. 6 (1986): S97—S108. http://dx.doi.org/10.1016/s0197-0070(20)30009-7.

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André, P. "Adolescence, stress psychosociaux et toxicomanie." Journal de Pédiatrie et de Puériculture 5, no. 8 (1992): 495–96. http://dx.doi.org/10.1016/s0987-7983(05)80451-7.

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Dissertations / Theses on the topic "Stress in adolescence – Texas"

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Ste-Marie, Chantal. "Anxiety and social stress related to adolescent gambling behavior." Thesis, online access from Digital Dissertation Consortium access full-text, 2001. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?MQ75257.

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Leech, Alexandra. "Struggling with susceptibility and stress : an exploration and expansion of vulnerability-stress models of depression and the potential for intervention in late adolescence." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608286.

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Wingo, Mary. "The Adolescent Stress Response to a Naturalistic Driving Stressor." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2591/.

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The proposed study examined the role of anxiety and risk-taking in driving performance in adolescents. In addition to examining the sample as a whole, gender differences were assessed given earlier reports from our laboratory and others indicating that males and females differ with respect to risky behaviors to driving performance and anxiety. Adolescents' subjective and physiological responses to a driving simulator task were assessed. Anxiety was measured via self report and salivary cortisol. Participants provided a baseline saliva sample and 3 post-task samples for cortisol analysis. Subjective anxiety scores were obtained at both baseline and following the driving stressor. Information concerning impulsivity, as well as other psychological constructs was also collected at baseline. Unlike the pilot study, there were no relationships (with or without respect to gender) between salivary cortisol and both self-reported anxiety (state and trait) or impulsively measures for this sample. These results suggest that this group of adolescents may not have been anxious about the driving task. This discrepancy may stem from error introduced by the smaller sample size obtained from the initial findings or to other factors remaining outside the parameters of the current study. The task did, however, induce a slight hypothalamic pituitary adrenal (HPA) axis response indicating some physiological arousal. Males had significantly higher cortisol levels at baseline than females and at time point 3 while approaching significance at time points 2 and 4. Females possessed significantly higher trait anxiety than males and all post task cortisol levels were positively correlated to age while time points 2 and 4 (with time point 3 approaching significance, p=0.09) were inversely correlated with Self Depreciation scores. Additionally, females had Persecutory Ideas scores that were also negatively correlated with cortisol at time points 3 and 4. For both the entire sample and males only, the correlation between post-task cortisol and driving performance was positive and approached significance (p=0.07 and p=0.08, respectively), suggesting that some HPA activation may be facilitative for successful driving task performance. Correlations between driving performance and psychological constructs were explored and discussed with and without respect to gender.

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Van, Langeveld Alisa Danielle Cox. "Sibling Relationships, Stress, and Well-Being During Early Adolescence." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2351.

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This study examined whether the quality of the sibling relationship can alter the negative impact of stress on child well being. Participants were of 311 families (236 two parent families and 75 single parent families) with an adolescent child (M age of child at Time 1 = 11.25, SD = .99, 51% female) who took part in the Flourishing Families Project. Data were assessed using both a multiple time point cross-section and a two wave longitudinal design. Hierarchal linear regression suggested that when assessing the direct effects of sibling on well being, sibling affection is a better predictor of well being, but when assessing indirect effects, sibling conflict is a better predictor. Little evidence was found to support the idea that siblings moderate the impact of stress by buffering or decreasing the negative impact of stress. Results did indicate that sibling conflict was a salient moderator of stress in that conflict exacerbates the already negative impact of stress. Results from this study also suggest that when assessing the buffering or exacerbating impact of siblings, cross-sectional data produces better explanatory power than when these constructs are assessed longitudinally. However a single time point, cross-sectional design does not account for dynamic changes over time in either the sibling relationship, the level of stress or well being. Research designs such as multiple time, point cross-sectional studies or growth curve analyses are recommended.

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Shapero, Benjamin Greenberg. "Stress Reactivity and Cognitive Vulnerability for Depression in Adolescence." Diss., Temple University Libraries, 2015. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/346123.

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Psychology<br>Ph.D.<br>Major Depressive Disorder (MDD) is the most common mental illness, with estimated lifetime prevalence of 25% (Kessler, Avenevoli, & Merikangas, 2001). Importantly, research suggests that the one-year prevalence rates of depression are relatively low in childhood, but dramatically increase, as much as six-fold, from early to late adolescence (Hankin et al., 1998; Kessler et al., 2003). These trends have led researchers to examine the developmental antecedents of depression in hopes of identifying risk factors associated with the first onset of disorder. This study examined the relationship between two empirically supported risk factors for depression: stress reactivity and cognitive vulnerabilities (CV). To varying degrees, these factors have been examined throughout development; yet, these bodies of literature have been surprisingly separate, which may contribute to the disappointing performance of selective intervention strategies to identify and treat youth at risk (Kovacs & Lopez-Duran, 2010). The current study examined the developmental antecedents and combined effects of two risk factors for depression. A sample of 127 adolescents and their mothers from the greater Philadelphia area completed questionnaires and interviews. In addition, adolescents participated in a social stress task to elicit a stress response. Measures of biological stress reactivity were measured through the endocrine system (e.g., cortisol) and the autonomic nervous system (e.g., heart rate). Findings suggest that a number of proximal stressors predict higher levels of both CV and stress reactivity components. We did not find evidence for more distal antecedents (e.g., early life stress, maternal depression, parenting styles) in the prediction of these risk factors, however. Importantly, this study highlights the combined risk factors of CVs and biological stress reactivity. Specifically, adolescents with higher levels of CV and a poorer ability to regulate after a stressor are at increased risk for depressive symptoms. Findings did not support the hypothesis that the mechanism through which CVs lead to depression is biological reactivity. The current study presents an important methodological and theoretical advancement in the body of literature examining risk factors for depression and stress reactivity. From the evidence obtained, it appears that in many cases these aspects of reactivity may operate synergistically in the development of depression and that the lack of physiological recovery may amplify the negative effects of different cognitive styles. The joint effects of cognitive and biological reactivity can enhance our understanding of reactions to stressful events and lead to more personalized treatment. Approaches that incorporate mindfulness and relaxation strategies may be particularly relevant to the regulation of physiological reactivity to stress that may reduce the prolonged feelings associated with stressful events. Overall, the results from the current study provide a more nuanced understanding of the relationship between stress responses and move beyond prior research on risk factors for depression.<br>Temple University--Theses

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Shetye, Shobha Satish. "Life stress, psychopathology and psychological adjustment : a propective study on a community sample of Hong Kong adolescents /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21213240.

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Leontopoulou, Sophia. "Adolescence and resilience : a study of three educational transitions." Thesis, University of Reading, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298968.

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Sharma, Dev Raj. "Cultural and family influences as sources of stress in adolescence." Thesis, Birkbeck (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417692.

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Council, Kimaya R. "Behavioral and Immune Implications of Chronic Predator Exposure in Adolescent Mice." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/5816.

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Evidence suggests that toxic stressors introduced early in development have prolonged effects on neuronal function due, in part, to the maturation of the hypothalamic- pituitary- adrenal (HPA) axis during adolescence. Early life stress has been implicated as a driver of mood and anxiety disorders, like depression and post-traumatic stress disorder - the extent to which appears to be sex dependent. While it is known that early life stress results in several consequences in adulthood, the mechanisms by which these changes manifest are unclear. Stress-induced changes in mood and behavior are often associated with alterations in inflammatory reactivity in both the brain and in the periphery. Previous work from our lab, and others, demonstrates that both male and female rats respond to chronic adolescent stress (CAS) but may differ in inflammatory markers within the brain and periphery and in the induction of negative affective-like behaviors. Inflammatory reactivity has been targeted as a means of identifying how these sex differences arise in studies of chronic stress in adults. Circulating concentrations of inflammatory cytokines have not been directly employed as predictors of behavioral outcomes of stress exposure in adolescence but may be a useful tool in uncovering mechanisms that protect or predispose an organism from the effects of chronic stress. To further assess immunological and behavior deficits following chronic stress in adolescence, the current work used a model of chronic adolescent stress where male and female adolescent mice were exposed to a predator stress for 15 consecutive days. In late adolescence, these mice were treated with an acute inflammatory challenge with lipopolysaccharide (LPS)to elicit an inflammatory response. We predicted that chronic, predatory stress experienced during adolescence would induce negative anxiety-like behaviors and alter circulating proinflammatory levels. Furthermore, we expected females to be more susceptible to the effects of adolescent stress than males. We observed that, chronic, predatory stress during adolescence increased anxiety-like behaviors in males and females, but did not alter social behaviors during late adolescence. Predatory stress also impacted circulating levels of TNFα, but no sex differences in LPS-induced cytokine concentrations were apparent.

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Harris, Rhonda L. "Strain, coping, and adaptation in early adolescence." Thesis, Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/80066.

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Role strain, coping, and adaptational outcomes were examined for a sample of 205 eighth grade adolescents. Differences by gender and family type on amount of role strain, use of coping strategies, and levels of emotional stress and well-being in family and peer roles were identified. Results indicate gender differences in degree of strain experienced in the family role and in use of Social Support and Ventilation as coping strategies. Female adolescents report significantly greater strain than males in family roles. Females, in comparison to males, use Social Support to a significantly greater degree and Ventilation significantly less often as a coping response. Differences by family type were found for the use of Family Support as a coping strategy. Adolescents in single-parent families utilize Family Support as a coping strategy significantly less often than adolescents in two-parent families. Results are discussed and directions for future research are recommended.<br>Master of Science

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Books on the topic "Stress in adolescence – Texas"

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D'Onofrio, Jan. Adolescent stress. National Association of Secondary School Principals, Division of Student Activities, 1990.

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Stress and depression. Wayland, 2008.

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Stress and depression. Gareth Stevens, 2009.

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Teen stress and anxiety. Rosen Publishing, 2014.

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Stress, coping, and relationships in adolescence. L. Erlbaum Associates, 1995.

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Marsico, Katie. Depression and stress. Marshall Cavendish Benchmark, 2013.

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Stress. Crestwood House, 1994.

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Miller, Allen R. Living with stress. Facts on File, 2010.

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Wright, H. Norman. Helping teens handle stress. Here's Life Publishers, 1987.

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Drugs and stress. Rosen Pub. Group, 1993.

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Book chapters on the topic "Stress in adolescence – Texas"

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Levesque, Roger J. R. "Stress." In Encyclopedia of Adolescence. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1695-2_408.

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Levesque, Roger J. R. "Stress." In Encyclopedia of Adolescence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-33228-4_408.

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Levesque, Roger J. R. "Stress." In Encyclopedia of Adolescence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32132-5_408-2.

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Romero, Andrea J., and Kali Van Campen. "Bicultural Stress." In Encyclopedia of Adolescence. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1695-2_158.

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Hampel, Petra, and Lisa Albrecht. "Stress Management." In Encyclopedia of Adolescence. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-1695-2_269.

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Ponnet, Koen. "Financial Stress." In Encyclopedia of Adolescence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-33228-4_801.

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Ponnet, Koen. "Financial Stress." In Encyclopedia of Adolescence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32132-5_801-1.

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Hampel, Petra, and Lisa Albrecht. "Stress Management." In Encyclopedia of Adolescence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32132-5_269-2.

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Romero, Andrea J., and Kali Van Campen. "Bicultural Stress." In Encyclopedia of Adolescence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-33228-4_158.

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Hampel, Petra, and Lisa Albrecht. "Stress Management." In Encyclopedia of Adolescence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-33228-4_269.

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Conference papers on the topic "Stress in adolescence – Texas"

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Subramanian, M., V. Kanishkan, P. Venkatesan, S. Vivek, and S. Uma Maheswari. "Psychological Stress Monitoring and Reporting System for Industries." In 2013 Texas Instruments India Educators' Conference (TIIEC). IEEE, 2013. http://dx.doi.org/10.1109/tiiec.2013.26.

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Suraj Amatya, Manoj Karkee, Ashok K Alva, Peter Larbi, and Bikram Adhikari. "Hyperspectral Imaging for Detecting Water Stress in Potatoes." In 2012 Dallas, Texas, July 29 - August 1, 2012. American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.42218.

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T M Brown-Brandl and D D Jones. "Characterizing stress in shaded and unshaded feedlot heifers." In 2012 Dallas, Texas, July 29 - August 1, 2012. American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.42327.

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Elizabeth M Pritchett, Eric R Benson, Megan P Caputo, et al. "Application of wireless electroencephalogram (EEG) to measure stress in ducks." In 2012 Dallas, Texas, July 29 - August 1, 2012. American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.41747.

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Freddie R Lamm and Abdrabbo A Aboukheira. "Effect of Late Season Water Stress on Corn in Northwest Kansas." In 2012 Dallas, Texas, July 29 - August 1, 2012. American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.42458.

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Quinones, Louis A., Heather R. DeShon, Peter H. Hennings, Elizabeth Horne, and Rebecca Gao. "MODELING INJECTION INDUCED STRESS CHANGES IN THE FORT WORTH BASIN, TEXAS." In 54th Annual GSA South-Central Section Meeting 2020. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020sc-343434.

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Mario R Mondaca, Fernando Rojano, and Christopher Y Choi. "Computational modeling of a conductive cooling system to alleviate heat stress in dairy cows." In 2012 Dallas, Texas, July 29 - August 1, 2012. American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.41850.

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Rajveer Dhillon, Vasu Udompetaikul, Francisco Rojo, et al. "Detection of Plant Water Stress Using Leaf Temperature Measurements for Vineyard and Nut Crops." In 2012 Dallas, Texas, July 29 - August 1, 2012. American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.42634.

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Dariush Zare, Mohsen Alirezaei, and S. M Nassiri. "Stress relaxation of date at different temperature and moisture content of product: A new approach." In 2012 Dallas, Texas, July 29 - August 1, 2012. American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.41946.

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Brugge, J. "Abstract ES6-1: Oxidative stress responses in cancer." In Abstracts: 2018 San Antonio Breast Cancer Symposium; December 4-8, 2018; San Antonio, Texas. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-es6-1.

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Reports on the topic "Stress in adolescence – Texas"

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Mangelsdorff, A. D. Proceedings User's Stress Workshop (7th) Held in San Antonio, Texas on December 10-15, 1989: Training for Psychic Trauma. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada234583.

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In situ stress analysis of wellbore break-outs from Oklahoma and the Texas Panhandle. US Geological Survey, 1990. http://dx.doi.org/10.3133/b1866f.

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Health hazard evaluation report: HETA-2006-0307-3139, heat stress and strain evaluation among aluminum potroom employees - Texas. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 2011. http://dx.doi.org/10.26616/nioshheta200603073139.

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