A Multi-level Longitudinal Model of Risk Factors for Generalized and Separation Anxiety Symptoms in a Community Sample of 6-year-olds

2021 ◽  
Author(s):  
Karen R. Gouze ◽  
Joyce Hopkins ◽  
John V. Lavigne ◽  
Fred B. Bryant
Keyword(s):  
Risk Factors ◽  
Separation Anxiety ◽  
Community Sample ◽  
Anxiety Symptoms ◽  
Longitudinal Model ◽  
Multi Level

scholarly journals Toddler dysregulated fear predicts continued risk for social anxiety symptoms in early adolescence

2020 ◽  
pp. 1-12 ◽  
Author(s):  
Kristin A. Buss ◽  
Sunghye Cho ◽  
Santiago Morales ◽  
Meghan McDoniel ◽  
Ann Frank Webb ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Anxiety ◽  
Relationship Quality ◽  
Peer Relationships ◽  
Parental Monitoring ◽  
Social Withdrawal ◽  
Community Sample ◽  
Anxiety Symptoms ◽  
Child Reports ◽  
Two Samples

Abstract Identifying early risk factors for the development of social anxiety symptoms has important translational implications. Accurately identifying which children are at the highest risk is of critical importance, especially if we can identify risk early in development. We examined continued risk for social anxiety symptoms at the transition to adolescence in a community sample of children (n = 112) that had been observed for high fearfulness at age 2 and tracked for social anxiety symptoms from preschool through age 6. In our previous studies, we found that a pattern of dysregulated fear (DF), characterized by high fear in low threat contexts, predicted social anxiety symptoms at ages 3, 4, 5, and 6 years across two samples. In the current study, we re-evaluated these children at 11–13 years of age by using parent and child reports of social anxiety symptoms, parental monitoring, and peer relationship quality. The scores for DF uniquely predicted adolescents’ social anxiety symptoms beyond the prediction that was made by more proximal measures of behavioral (e.g., kindergarten social withdrawal) and concurrent environmental risk factors (e.g., parental monitoring, peer relationships). Implications for early detection, prevention, and intervention are discussed.

Factorial Structure of the SCAS and Its Relationship With the SDQ

2013 ◽  
Vol 29 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Daniela Di Riso ◽  
Daphne Chessa ◽  
Andrea Bobbio ◽  
Adriana Lis
Keyword(s):  
Age Differences ◽  
Convergent Validity ◽  
Factor Model ◽  
Community Sample ◽  
Anxiety Symptoms ◽  
Factorial Structure ◽  
Confirmatory Factor ◽  
Culturally Based ◽  
Positive Correlations ◽  
Italian Children

The factorial structure of the Spence Children’s Anxiety Scale (SCAS; Spence, 1997 ) was examined in a community sample of 1,397 Italian children from 8 to 10 years old. Sex and age differences as regards anxiety symptoms were also analyzed. The convergent validity of the SCAS was explored through correlations with the Strengths and Difficulties Questionnaire (SDQ; Goodman, 1997 ). The use of confirmatory factor analysis supported the six correlated factor model of the SCAS with only minor differences compared to the original work by Spence (1997 ), and it was therefore named SCAS-it. Modifications to the original SCAS were supported by methodologically, theoretically, and culturally based arguments. The internal consistency of the SCAS-it was acceptable. Females displayed significantly higher levels of anxiety symptoms than males, while age differences were nonsignificant. Positive correlations were found between the SCAS-it and selected subscales of the SDQ. The results support the SCAS model, with few exceptions that do not threaten the utility of Spence’s tool.

scholarly journals Perinatal Anxiety Symptoms: Rates and Risk Factors in Mexican Women

2020 ◽  
Vol 18 (1) ◽  
pp. 82
Author(s):  
Janeth Juarez Padilla ◽  
Sandraluz Lara-Cinisomo ◽  
Laura Navarrete ◽  
Ma. Asunción Lara
Keyword(s):  
Risk Factors ◽  
Stressful Life Events ◽  
Secondary Data ◽  
Anxiety Symptoms ◽  
Mexican Women ◽  
Negative Consequences ◽  
Postpartum Anxiety ◽  
Perinatal Anxiety ◽  
Relevant Risk Factor ◽  
In Pregnancy

Anxiety during pregnancy and after childbirth can have negative consequences for a woman and her baby. Despite growing interest in the perinatal mental health of Mexican women living in the U.S., perinatal anxiety symptom (PAS) rates and risk factors have yet to be established for women in Mexico. We sought to determine PAS rates and identify risk factors, including the traditional female role (TFR) in a sample of Mexican women. This secondary data analysis is based on 234 Mexican women who participated in a longitudinal study on perinatal depression in Mexico. Anxiety symptoms were assessed in pregnancy and at six weeks postpartum. Rates were determined through frequencies, and multiple logistics regressions were conducted to identify risk factors in the sample. The PAS rate was 21% in pregnancy and 18% postpartum. Stressful life events and depressive symptoms were associated with a higher probability of PAS. Adherence to TFR increased the probability of prenatal anxiety; lower educational attainment and low social support during pregnancy increased the probability of postpartum anxiety. The PAS rates were within the range reported in the literature. The TFR was only associated with anxiety in gestation, highlighting the role of this culturally relevant risk factor. Culturally responsive early interventions are therefore required.

scholarly journals A Modified CAIDE Risk Score as a Screening Tool for Cognitive Impairment in Older Adults

2021 ◽  
pp. 1-14
Author(s):  
Magdalena I. Tolea ◽  
Jaeyeong Heo ◽  
Stephanie Chrisphonte ◽  
James E. Galvin
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Cognitive Impairment ◽  
Risk Score ◽  
Clinical Sample ◽  
Community Sample ◽  
Community Dwelling ◽  
Cognitive Testing ◽  
Risk Scores ◽  
Predictive Values

Background: Although an efficacious dementia-risk score system, Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) was derived using midlife risk factors in a population with low educational attainment that does not reflect today’s US population, and requires laboratory biomarkers, which are not always available. Objective: Develop and validate a modified CAIDE (mCAIDE) system and test its ability to predict presence, severity, and etiology of cognitive impairment in older adults. Methods: Population consisted of 449 participants in dementia research (N = 230; community sample; 67.9±10.0 years old, 29.6%male, 13.7±4.1 years education) or receiving dementia clinical services (N = 219; clinical sample; 74.3±9.8 years old, 50.2%male, 15.5±2.6 years education). The mCAIDE, which includes self-reported and performance-based rather than blood-derived measures, was developed in the community sample and tested in the independent clinical sample. Validity against Framingham, Hachinski, and CAIDE risk scores was assessed. Results: Higher mCAIDE quartiles were associated with lower performance on global and domain-specific cognitive tests. Each one-point increase in mCAIDE increased the odds of mild cognitive impairment (MCI) by up to 65%, those of AD by 69%, and those for non-AD dementia by >  85%, with highest scores in cases with vascular etiologies. Being in the highest mCAIDE risk group improved ability to discriminate dementia from MCI and controls and MCI from controls, with a cut-off of ≥7 points offering the highest sensitivity, specificity, and positive and negative predictive values. Conclusion: mCAIDE is a robust indicator of cognitive impairment in community-dwelling seniors, which can discriminate well between dementia severity including MCI versus controls. The mCAIDE may be a valuable tool for case ascertainment in research studies, helping flag primary care patients for cognitive testing, and identify those in need of lifestyle interventions for symptomatic control.

Dynamic networks of psychotic symptoms in adults living in precarious housing or homelessness

2021 ◽  
pp. 1-11
Author(s):  
Andrea A. Jones ◽  
Kristina M. Gicas ◽  
Sara Mostafavi ◽  
Melissa L. Woodward ◽  
Olga Leonova ◽  
...  
Keyword(s):  
Risk Factors ◽  
Psychotic Disorder ◽  
Psychotic Disorders ◽  
Community Sample ◽  
Dynamic Networks ◽  
Premature Mortality ◽  
Psychotic Symptoms ◽  
Network Measures ◽  
History Of ◽  
Precarious Housing

Abstract Background People living in precarious housing or homelessness have higher than expected rates of psychotic disorders, persistent psychotic symptoms, and premature mortality. Psychotic symptoms can be modeled as a complex dynamic system, allowing assessment of roles for risk factors in symptom development, persistence, and contribution to premature mortality. Method The severity of delusions, conceptual disorganization, hallucinations, suspiciousness, and unusual thought content was rated monthly over 5 years in a community sample of precariously housed/homeless adults (n = 375) in Vancouver, Canada. Multilevel vector auto-regression analysis was used to construct temporal, contemporaneous, and between-person symptom networks. Network measures were compared between participants with (n = 219) or without (n = 156) history of psychotic disorder using bootstrap and permutation analyses. Relationships between network connectivity and risk factors including homelessness, trauma, and substance dependence were estimated by multiple linear regression. The contribution of network measures to premature mortality was estimated by Cox proportional hazard models. Results Delusions and unusual thought content were central symptoms in the multilevel network. Each psychotic symptom was positively reinforcing over time, an effect most pronounced in participants with a history of psychotic disorder. Global connectivity was similar between those with and without such a history. Greater connectivity between symptoms was associated with methamphetamine dependence and past trauma exposure. Auto-regressive connectivity was associated with premature mortality in participants under age 55. Conclusions Past and current experiences contribute to the severity and dynamic relationships between psychotic symptoms. Interrupting the self-perpetuating severity of psychotic symptoms in a vulnerable group of people could contribute to reducing premature mortality.

Correlates of Youth Suicide Attempters in Australian Community and Clinical Samples

2003 ◽  
Vol 37 (3) ◽  
pp. 286-293 ◽  
Author(s):  
Gregory L. Carter ◽  
Cathy Issakidis ◽  
Kerrie Clover
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Substance Use ◽  
Substance Use Disorder ◽  
Suicidal Behaviour ◽  
Clinical Sample ◽  
Community Sample ◽  
Community Control ◽  
Clinical Group ◽  
Health Related

Objective: This study (i) explores differences between a clinical sample of deliberate selfpoisoning (DSP) patients and a community sample who reported previous attempted suicide (AS); and (ii) examines correlates of suicidal behaviour in these groups compared with a community control group (CC) with no suicidal behaviour. Method: The study design was: case–case, case–control and cross-sectional population studies. A clinical sample of DSP (n = 51), a community sample of AS (n = 31) and a community sample with no suicidal behaviour (n = 842) were used, all aged 18–24 years. The DSP and AS groups were compared on several variables and two logistic regression models were developed for risk of (i) DSP and (ii) AS compared to community controls. Results: The adjusted odds ratios for DSP were: female gender (OR = 5.7, CI = 1.7–19.4), anxiety (OR = 7.4, CI = 2.2–25.1), affective (OR = 23.0, CI = 6.9–76.5), or substance-use disorder (OR = 19.2, CI = 5.6–65.4) and greater mental health related disability (OR = 0.5, CI = 0.3–0.7 for 1 SD decrease). For AS the results were: anxiety (OR = 9.4, CI = 1.7–52.8) or substance-use disorder (OR = 3.0, CI = 1.1–8.7) and greater mental health disability (OR = 0.5, CI = 0.4–0.7). Affective disorder was close to significant for the AS group (OR = 4.0, CI = 0.9–17.1). Conclusions: Correlates of DSP/AS were usually more powerful in the clinical group, but showed a similar pattern of psychiatric disorder and disability factors in both groups, supporting a continuum of risk factors across these groups. Interventions based on modifiable risk factors could target the same factors for public health, primary care or hospital populations: anxiety, depression and substance use disorders and mental health related disability.

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