Iris colour and astigmatism among Chinese teenagers

2019 ◽  
pp. bjophthalmol-2018-313357 ◽  
Author(s):  
Chen-Wei Pan ◽  
Chaofu Ke ◽  
Dan-Ning Hu ◽  
Jun Li ◽  
Hua Zhong
Keyword(s):  
Regression Models ◽  
Estimating Equation ◽  
Logistic Regression Models ◽  
School Based ◽  
Refractive Development ◽  
Increasing Trend ◽  
Adjusted Model ◽  
The Relationship ◽  
Cylinder Power ◽  
Iris Colour

Background/aimsIris colour might contribute to refractive development, but it is uncertain whether it is related to astigmatism. We aim to examine the association of iris colour with the presence of astigmatism in a school-based sample of Chinese students.Methods2346 grade 7 students from 10 middle schools aged 13 to 14 years in Southwestern China participated in the study. We obtained standardised slit-lamp photographs and developed a grading system assessing iris colour (higher grade denoting darker). Astigmatism was defined as a cylinder power of more than 0.50, 0.75 or 1.00 dioptre (D). Logistic regression models with generalised estimating equation were fitted to assess the relationship between iris colour and astigmatism, accounting for the correlation between both eyes. ORs and 95% CIs were presented.ResultsThe overall prevalence of astigmatism for three different definitions was 30.4% (95% CI 28.6% to 32.2%) (<−0.5 D), 12.7 % (95% CI 11.3% to 14.0%) (<−0.75 D) and 5.3% (95% CI 4.4% to 6.2%) (<−1.0 D), respectively. In multivariate analysis adjusting for the effect of gender and height, darker iris colour was associated with an increasing trend of astigmatism (p for trend <0.05). Compared with individuals with iris colour of grade 4 or 5 (the darkest), those with grade 1 or 2 (the lightest) were significantly less likely to be affected by astigmatism (<−0.75 D) in gender-adjusted model (OR 0.67) and multivariate-adjusted model (OR 0.72).ConclusionDarker iris colour might be a risk factor for astigmatism in Chinese adolescents.

scholarly journals Iris surface features and anterior chamber depth in Chinese adolescents

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Chen-Wei Pan ◽  
Yu-Xi Qian ◽  
Jun Li ◽  
Hua Zhong
Keyword(s):  
Anterior Chamber ◽  
Anterior Chamber Depth ◽  
Estimating Equation ◽  
Linear Regression Models ◽  
Surface Features ◽  
School Based ◽  
Significant Relationships ◽  
Grade 3 ◽  
Adjusted Model ◽  
The Relationship

Abstract Background We aim to determine the association of iris surface features including crypts, color and contraction furrows with anterior chamber depth (ACD) in a school-based sample of Chinese teenagers. Methods Totally, 2346 students aged 13 to 14 years in Mojiang located in the Southwestern part of China contributed to this analysis. Iris surface features were graded based on standardized slit-lamp photographs. Ocular biometric parameters including ACD were measured using an IOL Master. Generalized estimating equation was incorporated in the linear regression models to assess the relationship between iris surface features and ACD. Results A significant trend of increasing ACDs with more contraction furrows were observed. On average, the mean ACD was 3.03 mm in participants with contraction furrows of grade 1 while it was 3.10 mm in those with grade 3 (mean difference, 0.07 mm, P = 0.01). Adjusting for other potential confounders such as gender, height and weight did not significantly changed the associations. Compared with individuals with contraction furrows of grade 1, those with grade 3 had a greater ACD of 0.06 mm (95% confidence interval: 0.01, 0.11) in multivariate-adjusted model. There were no significant relationships between ACD and iris crypts or color. (P > 0.10). Conclusions More iris contraction furrows are associated with greater ACDs while the association with iris color and crypts were not significant.

785 Reported Restful Sleep Predicting Emotional Distress: Does Exercise (and its modalities) moderate?

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A305-A306
Author(s):  
Jesse Moore ◽  
Ellita Williams ◽  
Collin Popp ◽  
Anthony Briggs ◽  
Judite Blanc ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Aerobic Exercise ◽  
Regression Models ◽  
Regression Analyses ◽  
Logistic Regression Models ◽  
The Past ◽  
Strengthening Exercise ◽  
Waking Up ◽  
The Relationship ◽  
Age And Sex

Abstract Introduction Literature shows that exercise moderates the relationship between sleep and emotional distress (ED.) However, it is unclear whether different types of exercise, such as aerobic and strengthening, affect this relationship differently. We investigated the moderating role of two types of exercise (aerobic and strengthening) regarding the relationship between ED and sleep. Methods Our analysis was based on data from 2018 National Health Interview Survey (NHIS), a nationally representative study in which 2,814 participants provided all data. Participants were asked 1) “how many days they woke up feeling rested over the past week”, 2) the Kessler 6 scale to determine ED (a score &gt;13 indicates ED), and 3) the average frequency of strengthening or aerobic exercise per week. Logistic regression analyses were performed to determine if the reported days of waking up rested predicted level of ED. We then investigated whether strengthening or aerobic exercise differentially moderated this relationship. Covariates such as age and sex were adjusted in the logistic regression models. Logistic regression analyses were performed to determine if subjective reporting of restful sleep predicted level of ED. We investigated whether strengthening exercise or aerobic exercise differentially moderated this relationship. Covariates such as age and sex were adjusted in the logistic regression models. Results On average, participants reported 4.41 restful nights of sleep (SD =2.41), 3.43 strengthening activities (SD = 3.19,) and 8.47 aerobic activities a week (SD=5.91.) We found a significant association between days over the past week reporting waking up feeling rested and ED outcome according to K6, Χ2(1) = -741, p= &lt;.001. The odds ratio signified a decrease of 52% in ED scores for each unit of restful sleep (OR = .48, (95% CI = .33, .65) p=&lt;.001.) In the logistic regression model with moderation, aerobic exercise had a significant moderation effect, Χ2(1) = .03, p=.04, but strengthening exercise did not. Conclusion We found that restful sleep predicted reduction in ED scores. Aerobic exercise moderated this relationship, while strengthening exercise did not. Further research should investigate the longitudinal effects of exercise type on the relationship between restful sleep and ED. Support (if any) NIH (K07AG052685, R01MD007716, K01HL135452, R01HL152453)

Abstract 3775: Average Blood Glucose and Mortality in Patients Hospitalized with Acute Myocardial Infarction

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Mikhail Kosiborod ◽  
Silvio Inzucchi ◽  
Harlan M Krumholz ◽  
Lan Xiao ◽  
Phillip G Jones ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Hospital Mortality ◽  
Regression Models ◽  
Independent Predictor ◽  
Laboratory Data ◽  
Logistic Regression Models ◽  
Average Blood Glucose ◽  
The Relationship ◽  
Multivariable Adjustment ◽  
Better Than

Background: Elevated blood glucose (BG) on admission is associated with higher mortality risk in patients (pts) hospitalized with AMI. However, the prognostic value of average BG, which reflects overall glycemic exposure much better than admission BG, is unknown. Furthermore, the nature of the relationship between average BG and mortality has not been determined. Methods: We evaluated a cohort of 16,871 AMI pts hospitalized from January 2000-December 2005, using Cerner Corporation’s Health Facts® database from 40 hospitals, which contains demographics, clinical and comprehensive laboratory data. Logistic regression models evaluated the nature of the relationship between mean BG during the entire AMI hospitalization and in-hospital mortality, after adjusting for multiple patient factors and confounders. Similar analyses were performed in subgroups of pts with and without diabetes (DM). Results: A J-shaped relationship was observed between mean BG and in-hospital mortality, which persisted after multivariable adjustment (Figure ). Mortality increased with each 10 mg/dL incremental rise in mean BG over >120 mg/dL, and with incremental decline in mean BG <80 mg/dL. The slope of these relationships was much steeper in pts without DM. Conclusions: Average BG during the entire AMI hospitalization is a powerful independent predictor of in-hospital mortality. Both persistent hyper- and hypoglycemia are associated with adverse prognosis. Whether strategies directed at optimizing BG control will improve survival remains to be established. Association Between Mean BG and In-Hospital Mortality After Multivariable Adjustment (Reference: Mean BG 100 to <110)

scholarly journals Patient-Reported Disease-Modifying Therapy Adherence in the Clinic: A Reliable Metric?

2018 ◽  
Vol 4 (2) ◽  
pp. 205521731877789 ◽  
Author(s):  
Devon S Conway ◽  
Maria Cecilia Vieira ◽  
Nicolas R Thompson ◽  
Kaila N Parker ◽  
Xiangyi Meng ◽  
...  
Keyword(s):  
Regression Models ◽  
Patient Reported Outcomes ◽  
Patient Reporting ◽  
Lesion Formation ◽  
Logistic Regression Models ◽  
Disease Modifying Therapy ◽  
Patient Reported ◽  
Relapsing Remitting ◽  
Disease Modifying ◽  
The Relationship

Background Adherence to multiple sclerosis (MS) disease-modifying therapy (DMT) is commonly assessed through patient reporting, but patient-reported adherence is rarely studied. Objective To determine rates of DMT adherence reported from patient to clinician, reasons for nonadherence, and relationships between adherence and outcomes. Methods We identified relapsing–remitting MS patients on DMT for ≥3 months. DMT adherence was defined as taking ≥80% of doses. Linear and logistic regression models were created used to determine the association of baseline adherence with several patient reported outcomes and the timed 25-foot walk at 6 months, 1 year, 2 years, and 3 years after the index visit. Results The analysis included 1148 patients, of whom 501 had data at 6 months, 544 at 1 year, 331 at 2 years, and 247 at 3 years. Baseline adherence was 94.9% and overall adherence was 93.1%. Forgetting was the most common reason for missed doses. In the adjusted models, adherence was not associated with the outcomes. Conclusions Higher than expected adherence and a lack of association between adherence and outcomes suggests patient reported adherence may not be reliable. Further research is needed to clarify the relationship between patient-reported adherence and relapses or new lesion formation.

scholarly journals The association between body dysmorphic symptoms and suicidality among adolescents and young adults: a genetically informative study

2020 ◽  
pp. 1-9
Author(s):  
Georgina Krebs ◽  
Lorena Fernández de la Cruz ◽  
Frühling V. Rijsdijk ◽  
Daniel Rautio ◽  
Jesper Enander ◽  
...  
Keyword(s):  
Suicidal Ideation ◽  
Regression Models ◽  
Genetic Factors ◽  
Body Dysmorphic Disorder ◽  
Early Adulthood ◽  
Self Report ◽  
Logistic Regression Models ◽  
Substantial Risk ◽  
The Relationship ◽  
Report Measure

Abstract Background Previous research indicates that body dysmorphic disorder (BDD) is associated with risk of suicidality. However, studies have relied on small and/or specialist samples and largely focussed on adults, despite these difficulties commonly emerging in youth. Furthermore, the aetiology of the relationship remains unknown. Methods Two independent twin samples were identified through the Child and Adolescent Twin Study in Sweden, at ages 18 (N = 6027) and 24 (N = 3454). Participants completed a self-report measure of BDD symptom severity. Young people and parents completed items assessing suicidal ideation/behaviours. Logistic regression models tested the association of suicidality outcomes with: (a) probable BDD, classified using an empirically derived cut-off; and (b) continuous scores of BDD symptoms. Bivariate genetic models examined the aetiology of the association between BDD symptoms and suicidality at both ages. Results Suicidal ideation and behaviours were common among those with probable BDD at both ages. BDD symptoms, measured continuously, were linked with all aspects of suicidality, and associations generally remained significant after adjusting for depressive and anxiety symptoms. Genetic factors accounted for most of the covariance between BDD symptoms and suicidality (72.9 and 77.7% at ages 18 and 24, respectively), but with significant non-shared environmental influences (27.1 and 22.3% at ages 18 and 24, respectively). Conclusions BDD symptoms are associated with a substantial risk of suicidal ideation and behaviours in late adolescence and early adulthood. This relationship is largely explained by common genetic liability, but non-shared environmental effects are also significant and could provide opportunities for prevention among those at high-risk.

scholarly journals Understanding the Association Between Spontaneous Quit Attempts and Improved Smoking Cessation Success Rates: A Population Survey in England With 6-Month Follow-up

2019 ◽  
Vol 22 (9) ◽  
pp. 1460-1467 ◽  
Author(s):  
Claire Garnett ◽  
Lion Shahab ◽  
Tobias Raupach ◽  
Robert West ◽  
Jamie Brown
Keyword(s):  
Regression Models ◽  
Population Survey ◽  
Adult Population ◽  
Success Rates ◽  
Logistic Regression Models ◽  
The Past ◽  
Quit Attempt ◽  
Quit Attempts ◽  
Adjusted Model

Abstract Introduction Almost half of smoking quit attempts are “spontaneous” (initiated as soon as the decision to quit has been made) and are associated with increased success rates. This study aimed to assess to what extent other factors may account for this association. Methods Data were used from respondents to a survey representative of the adult population in England from 2006 to 2016. We included 2018 respondents who were current smokers at baseline and had attempted to quit between baseline and 6-month follow-up. Logistic regression models assessed the association between quit success and spontaneous quit attempts while adjusting for smoking, sociodemographic, and quit attempt characteristics. Results Spontaneous quit attempts were associated with greater odds of quit success (OR = 1.31, 95% CI = 1.07 to 1.60) but the association was not significant in the fully adjusted model (ORadj = 1.19, 95% CI = 0.95 to 1.49). In this adjusted model, those who attempted to quit without cutting down first (ORadj = 3.08, 95% CI = 2.46 to 3.88) and were male (ORadj = 1.44, 95% CI = 1.16 to 1.80) had greater odds of success; although a greater number of attempts in the past 6 months, stronger urges to smoke (strong vs. none), higher daily cigarette consumption, and lower social grade (E vs. AB) were associated with lower odds of success (ORadj range = 0.32–0.98, p &lt; .030). Quit attempts made without cutting down first were correlated with spontaneous quit attempts (r = .150, p &lt; .001) and appeared to account for the diminished association between spontaneous quitting and success (ORadj = 1.18, 95% CI = 0.96 to 1.46). Conclusions The increased success rate of spontaneous quit attempts appears to be because spontaneous quit attempts are more likely to be made without cutting down first. Implications The apparent benefit of spontaneous over planned quit attempts may be attributable to the former being more likely to involve quitting without cutting down first (ie, abrupt cessation) than cutting down first (ie, gradual cessation) and so this may be a more useful target for advice to improve the chances of successful quitting.

scholarly journals Associations between Neonatal Serum Bilirubin and Childhood Obesity in Term Infants

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Lile Zou ◽  
Huan Yu ◽  
Yuan He ◽  
Lijuan Luo ◽  
Wenbin Dong ◽  
...  
Keyword(s):  
Childhood Obesity ◽  
Regression Models ◽  
Serum Bilirubin ◽  
Estimating Equation ◽  
Serum Bilirubin Level ◽  
Total Serum ◽  
Generalized Estimating Equation ◽  
Term Infants ◽  
Logistic Regression Models ◽  
Term Newborns

Abstract Inverse correlations between serum bilirubin level and obesity had been reported in adults. We aimed to investigate the associations between neonatal hyperbilirubinemia and childhood obesity. Data was obtained from the U.S. Collaborative Perinatal Project (CPP), a multicenter study from 1959 to 1976. Data of serum bilirubin in term newborns were used to observe the association with obesity at age of 7 years. Logistic regression models were performed to calculate adjusted odds ratios (aORs) for obesity. For children from the same mother sharing similar factors, Generalized Estimating Equation (GEE) model was used to correct for intracluster correlation. Relative to newborns with total serum bilirubin (TSB) < 3 mg/dl, there are lower risks for obesity in those with 3 mg/dl ≤ TSB < 6 mg/dl (aOR 0.91; 95%CI 0.81, 1.02), 6 mg/dl ≤ TSB < 9 mg/dl (aOR 0.88; 95%CI 0.78, 0.99), 9 mg/dl ≤ TSB<13 mg/dl (aOR 0.83; 95%CI 0.71, 0.98). By stratifying for subtypes of bilirubin, the inverse correlations only existed in exposure to unconjugated bilirubin. By using the GEE model correcting for intracluster correlations, the results are consistent. In summary, exposure to bilirubin up to 13 mg/dl is inversely associated with obesity at the age of 7 years in term infants.

Adverse Childhood Experiences and School-Based Victimization and Perpetration

2017 ◽  
Vol 35 (3-4) ◽  
pp. 662-681 ◽  
Author(s):  
Myriam Forster ◽  
Amy L. Gower ◽  
Barbara J. McMorris ◽  
Iris W. Borowsky
Keyword(s):  
Logistic Regression ◽  
School Violence ◽  
Adverse Childhood Experiences ◽  
Regression Models ◽  
Multinomial Logistic Regression ◽  
Self Report ◽  
Childhood Experiences ◽  
Logistic Regression Models ◽  
School Based ◽  
Adverse Childhood

Retrospective studies using adult self-report data have demonstrated that adverse childhood experiences (ACEs) increase risk of violence perpetration and victimization. However, research examining the associations between adolescent reports of ACE and school violence involvement is sparse. The present study examines the relationship between adolescent reported ACE and multiple types of on-campus violence (bringing a weapon to campus, being threatened with a weapon, bullying, fighting, vandalism) for boys and girls as well as the risk of membership in victim, perpetrator, and victim–perpetrator groups. The analytic sample was comprised of ninth graders who participated in the 2013 Minnesota Student Survey ( n ~ 37,000). Multinomial logistic regression models calculated the risk of membership for victim only, perpetrator only, and victim–perpetrator subgroups, relative to no violence involvement, for students with ACE as compared with those with no ACE. Separate logistic regression models assessed the association between cumulative ACE and school-based violence, adjusting for age, ethnicity, family structure, poverty status, internalizing symptoms, and school district size. Nearly 30% of students were exposed to at least one ACE. Students with ACE represent 19% of no violence, 38% of victim only, 40% of perpetrator only, and 63% of victim–perpetrator groups. There was a strong, graded relationship between ACE and the probability of school-based victimization: physical bullying for boys but not girls, being threatened with a weapon, and theft or property destruction ( ps < .001) and perpetration: bullying and bringing a weapon to campus ( ps < .001), with boys especially vulnerable to the negative effects of cumulative ACE. We recommend that schools systematically screen for ACE, particularly among younger adolescents involved in victimization and perpetration, and develop the infrastructure to increase access to trauma-informed intervention services. Future research priorities and implications are discussed.

scholarly journals Low blood pressure and risk of depression in the elderly

2000 ◽  
Vol 176 (5) ◽  
pp. 464-467 ◽  
Author(s):  
Sabrina Paterniti ◽  
Marie-Hélène Verdier-Taillefer ◽  
Catherine Geneste ◽  
Jean-Claude Bisserbe ◽  
Annick Alpérovitch
Keyword(s):  
Blood Pressure ◽  
Regression Models ◽  
Depressive Symptomatology ◽  
The Elderly ◽  
Epidemiological Studies ◽  
Logistic Regression Models ◽  
Drinking Habits ◽  
Low Blood Pressure ◽  
The Relationship

BackgroundThe relationship between depression and low blood pressure is unclear.AimsTo examine the temporal relation between low blood pressure and depression in a two-year follow-up.MethodThe study group consisted of 1389 subjects aged 59–71 years; 1272 (92%) were examined after two years. Subjects completed the Center for Epidemiological Studies–Depression (CES–D) and the Spielberger inventory scales to assess depressive and anxiety symptoms respectively. Data were collected on socio-demographic characteristics, smoking and drinking habits, medical history, drug use and blood pressure measures.ResultsAmong 1112 subjects who were considered as non-depressed at baseline, logistic regression models showed that low diastolic blood pressure (DBP) and decrease of blood pressure were predictors of high depressive symptomatology at follow-up. Baseline high CES–D scores did not predict low blood pressure two years after.ConclusionsIn our study, low blood pressure was a risk factor for, but not a consequence of, high depressive symptomatology.

Do Demographic Factors Moderate How Well Criminal Thinking Predicts Recidivism?

2017 ◽  
Vol 62 (7) ◽  
pp. 2045-2062 ◽  
Author(s):  
Johanna B. Folk ◽  
Jeffrey B. Stuewig ◽  
Brandy L. Blasko ◽  
Michael Caudy ◽  
Andres G. Martinez ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Logistic Regression ◽  
Justice System ◽  
Regression Models ◽  
Demographic Factors ◽  
Jail Inmates ◽  
Criminal Thinking ◽  
Logistic Regression Models ◽  
Two Measures ◽  
The Relationship

Is the relationship between criminal thinking and recidivism the same for criminal justice–involved individuals from varying demographic backgrounds? Relying on two independent samples of offenders and two measures of criminal thinking, the current studies examined whether four demographic factors—gender, race, age, and education—moderated the relationship between criminal thinking and recidivism. Study 1 consisted of 226 drug-involved probationers enrolled in a randomized clinical trial. Study 2 consisted of 346 jail inmates from a longitudinal study. Logistic regression models suggested that the strength of the relationship between criminal thinking and subsequent recidivism did not vary based on participant demographics, regardless of justice system setting or measure of criminal thinking. Criminal thinking predicts recidivism similarly for people who are male, female, Black, White, older, younger, and more or less educated.

Sign in / Sign up

Export Citation Format

Share Document