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Effect of Telephone Cognitive Behavioral Therapy for Insomnia in Older Adults With Osteoarthritis Pain: A Randomized Clinical Trial.

Importance: Scalable delivery models of cognitive behavioral therapy for insomnia (CBT-I), an effective treatment, are needed for widespread implementation, particularly in rural and underserved populations lacking ready access to insomnia treatment. Objective: To evaluate the effectiveness of telephone CBT-I vs education-only control (EOC) in older adults with moderate to severe osteoarthritis pain. Design, setting, and participants: This is a randomized clinical trial of 327 participants 60 years and older who were recruited statewide through Kaiser Permanente Washington from September 2016 to December 2018. Participants were double screened 3 weeks apart for moderate to severe insomnia and osteoarthritis (OA) pain symptoms. Blinded assessments were conducted at baseline, after 2 months posttreatment, and at 12-month follow-up. Interventions: Six 20- to 30-minute telephone sessions provided over 8 weeks. Participants submitted daily diaries and received group-specific educational materials. The CBT-I instruction included sleep restriction, stimulus control, sleep hygiene, cognitive restructuring, and homework. The EOC group received information about sleep and OA. Main outcomes and measures: The primary outcome was score on the Insomnia Severity Index (ISI) at 2 months posttreatment and 12-month follow-up. Secondary outcomes included pain (score on the Brief Pain Inventory-short form), depression (score on the 8-item Patient Health Questionnaire), and fatigue (score on the Flinders Fatigue Scale). Results: Of the 327 participants, the mean (SD) age was 70.2 (6.8) years, and 244 (74.6%) were women. In the 282 participants with follow-up ISI data, the total 2-month posttreatment ISI scores decreased 8.1 points in the CBT-I group and 4.8 points in the EOC group, an adjusted mean between-group difference of -3.5 points (95% CI, -4.4 to -2.6 points; P < .001). Results were sustained at 12-month follow-up (adjusted mean difference, -3.0 points; 95% CI, -4.1 to -2.0 points; P < .001). At 12-month follow-up, 67 of 119 (56.3%) participants receiving CBT-I remained in remission (ISI score, ≤7) compared with 33 of 128 (25.8%) participants receiving EOC. Fatigue was also significantly reduced in the CBT-I group compared with the EOC group at 2 months posttreatment (mean between-group difference, -2.0 points; 95% CI, -3.1 to -0.9 points; P = <.001) and 12-month follow-up (mean between-group difference, -1.8 points; 95% CI, -3.1 to -0.6 points; P = .003). Posttreatment significant differences were observed for pain, but these differences were not sustained at 12-month follow-up. Conclusions and relevance: In this randomized clinical trial, telephone CBT-I was effective in improving sleep, fatigue, and, to a lesser degree, pain among older adults with comorbid insomnia and OA pain in a large statewide health plan. Results support provision of telephone CBT-I as an accessible, individualized, effective, and scalable insomnia treatment. Trial registration: Clinical Trials.gov Identifier: NCT02946957.

JAMA internal medicine · randomised controlled trial · 69 citationsread the source →

Positive impact of intellectual disability on families.

Understanding positive, as well as negative, impact of a child with mental retardation will lead to a more balanced view of families and disability. In two studies we examined parents' perceived positive impact of a child with MR/DD. Study 1 involved 282 young adults with severe mental retardation; Study 2 involved 214 young children with, or without, developmental delays. In both studies, positive impact was inversely related to behavior problems. Moreover, positive impact moderated the relationship between behavior problems and parenting stress. Also, main and moderating effects of positive impact differed by parent ethnicity. Latina mothers reported higher positive impact than Anglo mothers did when the child had MR/DD. These findings are discussed in the context of cultural beliefs.

American journal of mental retardation : AJMR · cohort or longitudinal · 79 citationsread the source →

Anger and posttraumatic stress disorder symptoms in crime victims: a longitudinal analysis.

Among trauma-exposed individuals, severity of posttraumatic stress disorder (PTSD) symptoms is strongly correlated with anger. The authors used 2 longitudinal data sets with 282 and 218 crime victims, respectively, to investigate the temporal sequence of anger and PTSD symptoms following the assault. Cross-lagged regression analyses indicated that PTSD symptoms predicted subsequent level of anger, but that anger did not predict subsequent PTSD symptoms. Testing alternative models (common factor model, unmeasured 3rd variable model) that might account for spuriousness of the relation strengthened confidence in the results of the cross-lagged analyses. Further analyses suggested that rumination mediates the effect of PTSD symptoms on anger.

Journal of consulting and clinical psychology · 61 citationsread the source →

Impact of infertility duration on female sexual health.

Background: Infertility, an important source of stress, could affect sexual life. Extensive studies suggest that the incidence of sexual dysfunction is highly prevalent in infertile women. As the duration of infertility increases, the level of stress is also likely to increase even further, and this could aggravate psychological pain and cause sexual dysfunction. However, the effect of infertility duration on sexual health is unclear. Methods: We conducted a case-control study in which 715 patients participated between September 1,2020 and December 25, 2020. We included patients diagnosed with infertility (aged between 20 to 45), who were divided into four groups according to their infertility durations: ≤ 2 years (Group I, n = 262), > 2 years but ≤ 5 years (Group II, n = 282), > 5 years but ≤ 8 years (Group III, n = 97), and > 8 years (Group IV, n = 74). A questionnaire survey on female sexual functions and psychological depression was administered to participants, and their female sexual functions and depression status were measured using the Female Sexual Function Index (FSFI) and Patient Health Questionnaire (PHQ-9), respectively. Results: As the number of years of infertility increased, the PHQ-9 score as well as the incidence of psychological depression increased significantly (p < 0.05), but the total score of FSFI and those of its six domains/sub-scales were not significantly different among the four groups. An analysis of the relevant factors affecting sexual functions, using the multivariable logistic regression model, revealed that when the infertility duration was greater than 8 years, there was a significant increase in the incidence of sexual dysfunction [adjusted odds ratios (AOR) = 5.158, 95% confidence interval (CI): 1.935-13.746, P = 0.001], arousal disorder (AOR = 2.955, 95% CI: 1.194-7.314, P = 0.019), coital pain (AOR = 3.811, 95% CI: 1.045-13.897, P = 0.043), and lubrication disorder (AOR = 5.077, 95% CI: 1.340-19.244, P = 0.017). Conclusions: An increasing infertility duration is a risk factor for the occurrence of sexual dysfunction. Hence, as the infertility duration increases, the incidence of female sexual dysfunction and psychological distress could also increase, especially when the infertility duration is more than 8 years.

Reproductive biology and endocrinology : RB&E · 28 citationsread the source →

Young worker safety behaviors: development and validation of measures.

We conducted four studies to develop and validate measures of workplace safety-related behaviors relevant to young workers. The conceptual basis for this set of measures is a range of behavioral responses to deteriorating conditions (e.g., exit, voice, and loyalty, Hirschman, 1970; exit, voice, loyalty/patience, and neglect, Rusbult et al., 1982). In Study 1, items were generated by young workers (n=39) who participated in focus groups. The representativeness of these items was judged in Study 2 by a separate sample of young workers (n=79). In Study 3, we found support for five factors using exploratory factor analysis with a sample of young workers (n=266). Confirmatory factor analysis was conducted in Study 4 using a separate sample (n=282) and this supported the five-factor model. Self-report data on these participants and other-report (co-worker) data on a sub-sample (n=26) of the same participants provided additional support for the validity of the scales. Overall, these studies support the validity and reliability of this set of safety-related behaviors: intentions to quit an unsafe job (exit), speaking out about safety concerns (voice), adapting to a dangerous job hoping that safety conditions improve (patience), deliberately letting safety conditions worsen (neglect), and following safety policies (compliance). This set is useful for evaluating safety interventions aimed at young workers and studying safety-related behavior in a vulnerable work population.

Accident; analysis and prevention · cohort or longitudinal · 16 citationsread the source →

Does central fatigue explain reduced cycling after complete sleep deprivation?

Purpose: Sleep deprivation (SD) is characterized by reduced cognitive capabilities and endurance exercise performance and increased perceived exertion (RPE) during exercise. The combined effects of SD and exercise-induced changes in neuromuscular function and cognition are unknown. This study aimed to determine whether central fatigue is greater with SD, and if so, whether this corresponds to diminished cognitive and physical responses. Methods: Twelve active males performed two 2-d conditions (SD and control (CO)). On day 1, subjects performed baseline cognitive and neuromuscular testing. After one night of SD or normal sleep, subjects repeated day 1 testing and then performed 40-min submaximal cycling and a cycling test to task failure. Neuromuscular and cognitive functions were evaluated during the cycling protocol and at task failure. Results: After SD, exercise time to task failure was shorter (1137 ± 253 vs 1236 ± 282 s, P = 0.013) and RPE during 40 min submaximal cycling was greater (P = 0.009) than that in CO. Maximal peripheral voluntary activation decreased by 7% (P = 0.003) and cortical voluntary activation tended to decrease by 5% (P = 0.059) with exercise. No other differences in neuromuscular function or cognitive control were observed between conditions. After SD, mean reaction time was 8% longer (P = 0.011) and cognitive response omission rate before cycling was higher (P < 0.05) than that in CO. Acute submaximal exercise counteracted cognitive performance deterioration in SD. Conclusions: One night of complete SD resulted in decreased time to task failure and cognitive performance and higher RPE compared with the control condition. The lack of difference in neuromuscular function between CO and SD indicates that decreased SD exercise performance was probably not caused by increased muscular or central fatigue.

Medicine and science in sports and exercise · cohort or longitudinal · 74 citationsread the source →

Catastrophic health expenditure, social protection coverage, and financial coping strategies in adults with symptoms of chronic respiratory diseases in Kenya: a cross-sectional study.

Background: Despite the socioeconomic consequences of an increasing burden of chronic respiratory diseases, there is little evidence on the incidence and determinants of catastrophic health expenditure (CHE) in people with chronic respiratory disease symptoms in Kenya. We aimed to generate this evidence by collecting data on medical and non-medical costs, lost income, social protection coverage, and financial coping strategies for such people in Kenya. Methods: We conducted a cross-sectional survey of consecutively recruited adults seeking care for chronic respiratory disease symptoms at five public health-care facilities in Meru County, Kenya, between Sept 5, 2019, and Oct 1, 2020. Patient costs, National Health Insurance Fund (NHIF) coverage, financial coping strategies, and sociodemographic and clinical data were collected from surveys and medical records. The main study outcomes were the incidence of, and social and health factors associated with, CHE in this cohort. CHE incidence was calculated through the WHO threshold of direct out-of-pocket costs being greater than 10% of a household's monthly total expenditure. Multivariable logistic regression analyses generated adjusted odds ratios (aORs) with 95% CIs of health and social factors associated with CHE, including age, sex, education level, tobacco use, income, being accompanied, poverty level (with the first quintile being the richest to the fifth quintile being the poorest), NHIF usage, coping strategies, final diagnosis, and health system level at which they were seeking care. Findings: Of 319 eligible people invited, 296 (93%) consented to participate and completed surveys. Mean total cost was 1062 Kenyan shillings (KES; 95% CI 896-1228; US$9·1), of which 40·0% was due to direct non-medical costs (KES 425, 95% CI 361-489; $3·7), 36·7% to direct out-of-pocket medical costs (KES 390, 324-456; $3·1), and 23·3% to lost income (KES 247, 153-341, $2·1). 212 (72%) of 296 participants did not have NHIF, 282 (95%) of 296 used coping strategies during care-seeking, and 59 (20%) of 296 were accompanied by a carer during health-care seeking. 76 (26%) of 296 participants had CHE. CHE was associated with being aged 30-44 years old (aOR 2·6, 95% CI 1·3-5·3, p=0·010), being female (1·8, 1·3-2·7, p=0·0021), having higher than secondary school education (1·6, 1·1-2·3, p=0·0083), being accompanied during health-care-seeking visits (3·2, 1·7-5·9, p<0·0001), belonging to the second poverty quintile (2·0, 1·9-2·1, p<0·0001), and seeking care from subcounty hospitals (9·7, 9·6-9·8, p<0·0001) and county hospitals (25·1, 15·7-40·2, p<0·0001). Interpretation: These findings suggest a sizeable burden of CHE in people seeking care for chronic respiratory disease symptoms in Meru County in Kenya, driven by socioeconomic and sex inequalities and impaired access to health care and social protection. Funding: UK-Aid, UK National Institute for Health and Care Research, and UK Research and Innovation.

The Lancet. Global health · 3 citationsread the source →

Trends in the Prevalence and Incidence of Attention-Deficit/Hyperactivity Disorder Among Adults and Children of Different Racial and Ethnic Groups.

Importance: An increasing prevalence of adult attention-deficit/hyperactivity disorder (ADHD) diagnosis and treatment has been reported in clinical settings and administrative data in the United States. However, there are limited data on recent trends of adult ADHD diagnosis among racial/ethnic subgroups. Objective: To examine trends, including associated demographic characteristics, psychiatric diagnoses, and negative outcomes, in the prevalence and incidence of adult ADHD diagnosis among 7 racial/ethnic groups during a 10-year period. Design, setting, and participants: This cohort study investigated trends in the diagnosis of ADHD in adults who identified as African American or black, Native American, Pacific Islander, Latino or Hispanic, non-Hispanic white, Asian American, or other using the Kaiser Permanente Northern California health plan medical records. A total of 5 282 877 adult patients and 867 453 children aged 5 to 11 years who received care at Kaiser Permanente Northern California from January 1, 2007, to December 31, 2016, were included. Data analysis was performed from January 2017 through September 2019. Exposures: Period of ADHD diagnosis. Main outcomes and measures: Prevalence and incidence of licensed mental health clinician-diagnosed ADHD in adults and prevalence of licensed mental health clinician-diagnosed ADHD in children aged 5 to 11 years. Results: Of 5 282 877 adult patients (1 155 790 [21.9%] aged 25-34 years; 2 667 562 [50.5%] women; 2 204 493 [41.7%] white individuals), 59 371 (1.12%) received diagnoses of ADHD. Prevalence increased from 0.43% in 2007 to 0.96% in 2016. Among 867 453 children aged 5 to 11 years (424 449 [48.9%] girls; 260 236 [30.0%] white individuals), prevalence increased from 2.96% in 2007 to 3.74% in 2016. During the study period, annual adult ADHD prevalence increased for every race/ethnicity, but white individuals consistently had the highest prevalence rates (white individuals: 0.67%-1.42%; black individuals: 0.22%-0.69%; Native American individuals: 0.56%-1.14%; Pacific Islander individuals: 0.11%-0.39%; Hispanic or Latino individuals: 0.25%-0.65%; Asian American individuals: 0.11%-0.35%; individuals from other races/ethnicities: 0.29%-0.71%). Incidence of ADHD diagnosis per 10 000 person-years increased from 9.43 in 2007 to 13.49 in 2016. Younger age (eg, >65 years vs 18-24 years: odds ratio [OR], 0.094; 95% CI, 0.088-0.101; P < .001), male sex (women: OR, 0.943; 95% CI, 0.928-0.959; P < .001), white race (eg, Asian patients vs white patients: OR, 0.248; 95% CI, 0.240-0.257; P < .001), being divorced (OR, 1.131; 95% CI, 1.093-1.171; P < .001), being employed (eg, retired vs employed persons: OR, 0.278; 95% CI, 0.267-0.290; P < .001), and having a higher median education level (OR, 2.156; 95% CI, 2.062-2.256; P < .001) were positively associated with odds of ADHD diagnosis. Having an eating disorder (OR, 5.192; 95% CI, 4.926-5.473; P < .001), depressive disorder (OR, 4.118; 95% CI, 4.030-4.207; P < .001), bipolar disorder (OR, 4.722; 95% CI, 4.556-4.894; P < .001), or anxiety disorder (OR, 2.438; 95% CI, 2.385-2.491; P < .001) was associated with higher odds of receiving an ADHD diagnosis. Adults with ADHD had significantly higher odds of frequent health care utilization (OR, 1.303; 95% CI, 1.272-1.334; P < .001) and sexually transmitted infections (OR, 1.289; 95% CI 1.251-1.329; P < .001) compared with adults with no ADHD diagnosis. Conclusions and relevance: This study confirmed the reported increases in rates of ADHD diagnosis among adults, showing substantially lower rates of detection among minority racial/ethnic subgroups in the United States. Higher odds of negative outcomes reflect the economic and personal consequences that substantiate the need to improve assessment and treatment of ADHD in adults.

JAMA network open · 154 citationsread the source →

Bullying and Suicide: A Public Health Approach

Several recent studies have found an association between bullying and depression [[1]Wang J. Iannotti R.J. Luk J.W. Nansel T.R. Co-occurrence of victimization from five subtypes of bullying: Physical, verbal, social exclusion, spreading rumors, and cyber.J Pediatr Psychol. 2010; 35: 1103-1112Crossref PubMed Scopus (223) Google Scholar] or bullying and suicide-related behaviors [[2]Kim Y.S. Leventhal B. Suicide and bullying. A review. Int J Adolesc Med Health. 2008; 20: 133-154Crossref PubMed Scopus (324) Google Scholar], and one study found evidence consistent with a causal link, at least for girls [3Klomek A.B. Sourander A. Niemela S. et al. Childhood bullying behaviors as a risk for suicide attempts and completed suicides: A population-based birth cohort study.J Am Acad Child Adolesc Psychiatry. 2009; 48: 254-261Abstract Full Text Full Text PDF PubMed Scopus (324) Google Scholar, 4Klomek A.B. Sourander A. Gould A. The association of suicide and bullying in childhood to young adulthood: A review of cross-sectional and longitudinal research findings. Can J Psychiatry. 2010; 55: 282-288PubMed Google Scholar]. These studies, in conjunction with extensive media coverage of the deaths by suicide of several young people who were victims of bullying, led the Centers for Disease Control and Prevention (CDC) to convene an expert panel focusing on the relationship between bullying involvement and suicide-related behaviors. The purpose of the panel, held in September 2010, was to synthesize the latest research about the relationship between youth involvement in bullying (youth who bully, youth who are bullied, and those who bully and are bullied) and suicide-related behaviors (attempts, fatalities, and risk factors associated with suicide, such as depression). Experts on the topics of bullying and suicide presented their research about the relationship between these two behaviors; their work is contained in this supplement. The panel and this special issue provide clarity around the complicated issues of bullying and suicide among youth. Three key themes emerged: (1) bullying among youth is a significant public health problem; it is prevalent and frequently has detrimental effects; (2) there is a strong association between bullying and suicide-related behaviors, but this relationship is often mediated by other factors, including depression and delinquency; and (3) there are public health strategies that can be applied to the prevention of bullying and suicide. Bullying is a significant public health problem because it is prevalent and harmful. Between 20% and 56% of young people are involved in bullying annually [5Centers for Disease Control and Prevention. Youth risk behavior surveillance—United States, 2011. MMWR, Surveillance Summaries 2012;61(no. SS-4). Available at: www.cdc.gov/mmwr/pdf/ss/ss6104.pdf. Google Scholar, 6Borowsky I.W. Taliaferro L.A. McMorris B.J. Suicidal thinking and behavior among youth involved in verbal and social bullying: Risk and protective factors.J Adolesc Health. 2013; 53: S4-S12Abstract Full Text Full Text PDF PubMed Scopus (126) Google Scholar, 7Kowalski R.M. Limber S.P. Psychological, physical, and academic correlates of cyberbullying and traditional bullying.J Adolesc Health. 2013; 53: S13-S20Abstract Full Text Full Text PDF PubMed Scopus (768) Google Scholar]. Thus, in a classroom of 30 students, between 6 and 17 students are involved in bullying as a victim, perpetrator, or both (bully-victim). The specific rate of bullying victimization and perpetration varies according to age, type of bullying, time period over which bullying behaviors are assessed, and by subgroup. Younger (middle school-aged) children are more likely to be involved in bullying than high school-aged children [[8]Robers S. Zhang J. Truman J. Indicators of school crime and safety: 2011 (NCES 2012-002/NCJ 236021). National Center for Education Statistics, U.S. Department of Education, and Bureau of Justice Statistics, Office of Justice Programs, U.S. Department of Justice, Washington, DC2012Google Scholar]. Verbal bullying is generally more prevalent than physical or cyber-bullying and bullying is more likely to occur over a longer time period—“ever” or over the “past year” as opposed to “the past few months” [[9]David-Ferdon C. Hertz M.F. Electronic media and youth violence: A CDC issue brief for researchers. Centers for Disease Control, Atlanta, GA2009Google Scholar]. Specific subgroups are more likely to be victimized. For example, bullying victimization is more prevalent upon lesbian and gay youth—60% report victimization during the past 30 days prior to the survey compared with 28.8% of heterosexual youth [[10]Hatzenbuehler M.L. Keyes K.M. Inclusive anti-bullying policies and reduced risk of suicide attempts in lesbian and gay youth.J Adolesc Health. 2013; 53: S21-S26Abstract Full Text Full Text PDF PubMed Scopus (207) Google Scholar]. For young people involved in bullying in any capacity—youth who bully others, who are bullied, or who both bully and are bullied, this involvement is correlated with poor mental and physical health and engagement in other risk behaviors. Youth who are bullied are more likely to be depressed or anxious [[11]Fekkes M. Pijpers F. Fredriks A.M. et al. Do bullied children get ill, or do ill children get bullied? A prospective cohort study on the relationship between bullying and health-related symptoms. Pediatrics. 2006; 117: 1568-1574Crossref PubMed Scopus (426) Google Scholar], have lower academic achievement, report feeling like they do not belong at school [[12]Glew G.M. Fan M. Katon W. et al. Bullying, psychosocial adjustment, and academic performance in elementary school. Arch Pediatr Adolesc Med. 2005; 159: 1026-1031Crossref PubMed Scopus (384) Google Scholar], have poorer social and emotional adjustment, greater difficulty making friends, poorer relationships with classmates, and greater loneliness [[13]Nansel T.R. Overpeck M. Pilla M. et al. Bullying behavior among U.S. youth: Prevalence and association with psychosocial adjustment.JAMA. 2001; 285: 2094-2100Crossref PubMed Scopus (2743) Google Scholar]. Bully-victims are more likely than those who bully, those who are bullied, or their uninvolved peers to report being physically hurt by a family member, to witness family violence, and exhibit suicide-related behaviors [[14]McKenna M. Hawk E. Mullen J. Hertz M. The association between bullying behavior and health risks among middle school and high school students in Massachusetts, 2009.Morbidity and Mortality Weekly Review. 2011; 60: 465-471PubMed Google Scholar]. Those who bully others are more likely to drink alcohol and use cigarettes, to have poorer academic achievement and poorer perceived school climate, but to also report greater ease of making friends [[13]Nansel T.R. Overpeck M. Pilla M. et al. Bullying behavior among U.S. youth: Prevalence and association with psychosocial adjustment.JAMA. 2001; 285: 2094-2100Crossref PubMed Scopus (2743) Google Scholar]. Involvement in bullying can also have long-lasting, detrimental effects months or even years after the bullying occurs. Young people who are bullied are more likely than uninvolved youth to develop depression and anxiety and report abdominal pain and feeling tense over the course of a school year [[11]Fekkes M. Pijpers F. Fredriks A.M. et al. Do bullied children get ill, or do ill children get bullied? A prospective cohort study on the relationship between bullying and health-related symptoms. Pediatrics. 2006; 117: 1568-1574Crossref PubMed Scopus (426) Google Scholar]. One study examining the impact of bullying victimization of those who were between 9, 11, and 13 years of age when they were victimized found, that over a 7-year period, youth who were bullied were more likely to develop generalized anxiety and panic disorder as adults while bully-victims were more likely to subsequently suffer from depression, panic disorder, and suicidality [[15]Copeland W.E. Wolke D. Angold A. Costello E.J. Adult psychiatric outcomes of bullying and being bullied by peers in childhood and adolescence.JAMA Psychiatry. 2013; 70: 419-426Crossref PubMed Scopus (746) Google Scholar]. Another longitudinal study found that those who were perpetrators of bullying at age 14 were more likely to receive a diagnosis of antisocial personality disorder, to have low job status at age 18 years, and to use drugs at ages 27–32 years [[16]Farrington D.P. Ttofi M.M. Bullying as a predictor of offending, violence and later life outcomes. Crim Behav Ment Health. 2011; 21: 90-98Crossref PubMed Scopus (169) Google Scholar]. The articles in this special issue generally show a strong association between involvement in bullying behaviors and suicide-related behaviors. In Espelage and Holt's work with middle school students, suicidal ideation and attempts were significantly more prevalent among victims, bully-victims and perpetrators, with rates of ideation and attempts among those involved as a victim, perpetrator, or bully-victims three to five times higher than the rate of uninvolved youth [[17]Espelage D.L. Holt M.K. Suicidal ideation and school bullying experiences after controlling for depression and delinquency.J Adolesc Health. 2013; 53: S27-S31Abstract Full Text Full Text PDF PubMed Scopus (146) Google Scholar]. Likewise, in Borowsky's study of 6th, 9th, and 12th graders, 1.2% of uninvolved youth made a suicide attempt, compared with 5% for those who frequently bullied others verbally or socially; 6.5% for those who were frequent victims of verbal/social bullying; and 11.1% for those who were frequent bully-victims of verbal/social bullying [[6]Borowsky I.W. Taliaferro L.A. McMorris B.J. Suicidal thinking and behavior among youth involved in verbal and social bullying: Risk and protective factors.J Adolesc Health. 2013; 53: S4-S12Abstract Full Text Full Text PDF PubMed Scopus (126) Google Scholar]. In Kowalski and Limber's paper, depression, anxiety, self-esteem, self-reported health problems, absences from school, leaving school because of illness, and grades were, with only one exception, significantly related to students' involvement in cyber-bullying others, being cyber-bullied, bullying others through traditional means, and being bullied through traditional means [[7]Kowalski R.M. Limber S.P. Psychological, physical, and academic correlates of cyberbullying and traditional bullying.J Adolesc Health. 2013; 53: S13-S20Abstract Full Text Full Text PDF PubMed Scopus (768) Google Scholar]. Those who witness bullying but are not directly involved are also at increased risk. Rivers and Noret [[18]Rivers I. Noret N. Potential suicide ideation and its association with observing bullying at school.J Adolesc Health. 2013; 53: S32-S36Abstract Full Text Full Text PDF PubMed Scopus (51) Google Scholar] report that students who observed bullying behavior were significantly more likely than those uninvolved in bullying to report symptoms of interpersonal sensitivity (feelings of being hurt and feelings of inferiority) and greater helplessness. However, the papers in this issue also convey the complexity of the relationship between bullying and suicide-related behaviors. In Espelage and Holt's work [[17]Espelage D.L. Holt M.K. Suicidal ideation and school bullying experiences after controlling for depression and delinquency.J Adolesc Health. 2013; 53: S27-S31Abstract Full Text Full Text PDF PubMed Scopus (146) Google Scholar], after controlling for delinquency and depression there was no increased risk of suicide-related behaviors for perpetrators; the increased risk did remain for victims. Klomek's [[19]Klomek A.B. Kleinman M. Altschuler E. et al. Suicidal adolescents' experiences with bullying perpetration and victimization during high school as risk factors for later depression and suicidality.J Adolesc Health. 2013; 53: S37-S42Abstract Full Text Full Text PDF PubMed Scopus (84) Google Scholar] comparison of young people with bullying involvement and psychiatric symptoms (depression, suicidality, or substance use) at an initial screen to those with psychiatric symptoms but no bullying involvement found, at 2-year follow-up, that only perpetrators of bullying were significantly more likely to be functionally impaired than bullying-uninvolved students. In King's study of hospitalized suicidal youth, those who reported perpetrating bullying were more likely than uninvolved youth to have severe suicidal thoughts and psychosocial impairment, and to abuse substances. However, at 12-month follow-up, only the difference in psychosocial impairment remained. Interestingly, over the course of 1-year treatment for the suicidality, the rate of bullying perpetration declined [[20]King C.A. Horwitz A. Berona J. Jiang Q. Acutely suicidal adolescents who engage in bullying behavior: 1-year trajectories.J Adolesc Health. 2013; 53: S43-S50Abstract Full Text Full Text PDF PubMed Scopus (16) Google Scholar]. In Karch's analysis of suicide fatalities among youth, bullying involvement was one of a myriad of factors precipitating a death by suicide. A quarter of young suicide victims had school problems, but only 12.4% of these school problems were attributed to bullying [[21]Karch D.L. Logan J. McDaniel D.D. et al. Precipitating circumstances of suicide among youth aged 10–17 years by sex: Data from the National Violent Death Reporting System, 16 States, 2005–2008.J Adolesc Health. 2013; 53: S51-S53Abstract Full Text Full Text PDF PubMed Scopus (59) Google Scholar]. Other salient circumstances included depressed mood and/or other current mental health problems (37%); intimate partner problems (25%); history of suicide attempts (18%); and substance abuse problems (16%). Suicide attempts and substance use were risk factors that co-occurred with suicide ideation in Borowsky et al. as well [[6]Borowsky I.W. Taliaferro L.A. McMorris B.J. Suicidal thinking and behavior among youth involved in verbal and social bullying: Risk and protective factors.J Adolesc Health. 2013; 53: S4-S12Abstract Full Text Full Text PDF PubMed Scopus (126) Google Scholar]. Across all groups (victims, perpetrators, and bully-victims) a history of self-harm within the prior year and greater emotional distress (feelings of sadness, hopelessness, worry, stress, or pressure) drastically increased risk for suicide. For victims and bully-victims, a history of sexual abuse, a mental health problem, or running away from home in the past year increased the likelihood of suicidal thinking or behavior [[6]Borowsky I.W. Taliaferro L.A. McMorris B.J. Suicidal thinking and behavior among youth involved in verbal and social bullying: Risk and protective factors.J Adolesc Health. 2013; 53: S4-S12Abstract Full Text Full Text PDF PubMed Scopus (126) Google Scholar]. More than half of the youth who were bully-victims and who expressed suicidal ideation or reported making an attempt also witnessed family violence, had a history of physical abuse, smoked cigarettes, used marijuana, skipped school because of safety concerns, or carried a weapon at school. Youth who were involved in bullying and reported suicide-related thoughts or behaviors also had higher mean scores for distractibility/impulsivity and lower mean scores for parent connectedness, connectedness to other adults, perceived caring by teachers, perceived caring by friends, liking school, academic achievement, physical activity, perceived school safety, and perceived neighborhood safety [[6]Borowsky I.W. Taliaferro L.A. McMorris B.J. Suicidal thinking and behavior among youth involved in verbal and social bullying: Risk and protective factors.J Adolesc Health. 2013; 53: S4-S12Abstract Full Text Full Text PDF PubMed Scopus (126) Google Scholar]. Across all three bullying-involved groups, parent connectedness (feeling like you can talk to mom/dad about problems; that mom/dad care about you) was protective for suicidal ideation and attempts. Other protective factors for victims included stronger connections to nonparental adults, stronger perceived caring by friends, and liking school. For bully-victims, greater perceived caring by friends was also protective [[6]Borowsky I.W. Taliaferro L.A. McMorris B.J. Suicidal thinking and behavior among youth involved in verbal and social bullying: Risk and protective factors.J Adolesc Health. 2013; 53: S4-S12Abstract Full Text Full Text PDF PubMed Scopus (126) Google Scholar]. That there is a relationship between bullying and depression and that this relationship may help to explain the relationship between bullying and suicide is fairly consistent across papers. However, the direction of this relationship is unclear. Do youth who are bullied become depressed or are depressed youth more likely to be bullied? A study from the Netherlands suggests the answer may be “both.” Researchers found that victims of bullying had significantly higher chances of developing new psychosomatic and psychosocial problems over the course of a school year compared with children who were not bullied. However, children with preexisting depressive symptoms or anxiety were also significantly more likely to be newly victimized over the course of the school year [[11]Fekkes M. Pijpers F. Fredriks A.M. et al. Do bullied children get ill, or do ill children get bullied? A prospective cohort study on the relationship between bullying and health-related symptoms. Pediatrics. 2006; 117: 1568-1574Crossref PubMed Scopus (426) Google Scholar]. Despite the complexity of the relationship between bullying and suicide, there is no doubt that bullying involvement can have detrimental effects and prevention of bullying could improve health and mental health outcomes for many youth. The findings in these articles underscore the complexity of the relationship between bullying and suicide. A critical difference distinguishes an association between bullying and suicide from a causal relationship, with significant implications for prevention. Conveying that bullying alone causes suicide at best minimizes, and at worst ignores, the other factors that may contribute to death by suicide. This neglect may result in too narrow a focus of preventive action. We echo the call made by others for an integrated approach to preventing suicide and youth violence by focusing on shared risk and protective factors including individual coping skills, family and school social support, and supportive school environments [[22]Lubell K.M. Vetter J.B. Suicide and youth violence prevention: The promise of an integrated approach. Aggression and Violent Behavior. 2006; 11: 167-175Crossref Scopus (71) Google Scholar]. Strengthening social connectedness and ensuring access to supportive adults may pay dividends in impacting both bullying and suicide behaviors. Supportive home and school environments where young people feel connected are just one overlapping protective factor. Borowksy's findings regarding connection to parents, other adults, school, and friends reflect the need for multiple strategies that focus on both the school and home environments and that move beyond the individual skill-building level to foster supportive environments [[6]Borowsky I.W. Taliaferro L.A. McMorris B.J. Suicidal thinking and behavior among youth involved in verbal and social bullying: Risk and protective factors.J Adolesc Health. 2013; 53: S4-S12Abstract Full Text Full Text PDF PubMed Scopus (126) Google Scholar]. The case for a supportive environment on bullying and suicide prevention is supported by Hatzenbuehler's work. In the paper contained in this special issue, he reports findings that lesbian and gay youths living in counties with fewer school districts with antibullying policies that specifically mentioned sexual orientation as a protected group were nearly two times more likely to have attempted suicide in the past year compared with those living in counties where more districts had these policies [[10]Hatzenbuehler M.L. Keyes K.M. Inclusive anti-bullying policies and reduced risk of suicide attempts in lesbian and gay youth.J Adolesc Health. 2013; 53: S21-S26Abstract Full Text Full Text PDF PubMed Scopus (207) Google Scholar]. Williams and Guerra reported that youth who describe their school climate as being trusting, fair, and pleasant have lower involvement in verbal, physical, and Internet bullying perpetration [[23]Williams K.R. Guerra N.G. Prevalence and predictors of internet bullying.J Adolesc Health. 2007; 41: S14-S21Abstract Full Text Full Text PDF PubMed Scopus (669) Google Scholar]. As reflected in CDC's strategic direction on suicide [[24]Centers for Disease Control and Prevention (CDC). Connectedness as a strategic direction for the prevention of suicidal behavior. Available at: http://www.cdc.gov/violenceprevention/pdf/suicide_strategic_direction-one-pager-a.pdf. Google Scholar], approaches intended to build connections between youth and school and home environments, as well as communities, are essential to suicide prevention. Sources of Strength is a school-based suicide-prevention program that trains youth opinion leaders to change the norms and behaviors of their peers by conducting well-defined messaging activities with adult mentoring, as well as increasing perceptions of adult support for suicidal youths and the acceptability of seeking help M. et of the Sources of Strength suicide prevention program by leaders in high J Health. 2010; PubMed Scopus Google Scholar]. work also the of connections to support prevention. As an example, the youth suicide prevention found that who reported a stronger connection to youth in their program were as likely to suicidal youth. the research also that the bullying prevention are A of school bullying strategies that school approaches that included multiple and at of school more often reduced victimization and bullying than the that only included or social groups A review of school-based to Pediatr Adolesc Med. 2007; PubMed Scopus Google Scholar]. there is about the prevention of bullying and suicide, there is also do not studies over the past two have the of bullying prevention However, studies have in the States, these have not A review of school-based to Pediatr Adolesc Med. 2007; PubMed Scopus Google Scholar]. is evidence that youth violence prevention that for such as and also rates of bullying The impact of and on bullying and A Pediatr Adolesc Med. PubMed Scopus Google Scholar]. More work is to strategies that bullying from among youth in the In that depression is a significant risk for bullying and suicide as well as a of other behaviors. We need to to mental among young people and their and to do in and However, the and impact of bullying, it is to move while these strategies are being We can by and strategies that have at increasing protective factors and risk factors associated with both bullying and suicide. is not that bullying in is it that bullying occur in the in and health their focus beyond just to those who are involved in bullying or suicide-related behaviors, but also in strategies to bullying and suicidal behavior from in the

Journal of Adolescent Health · editorial or comment · 170 citationsread the source →

Socioeconomic patterning of excess alcohol consumption and binge drinking: a cross-sectional study of multilevel associations with neighbourhood deprivation.

Objectives: The influence of neighbourhood deprivation on the risk of harmful alcohol consumption, measured by the separate categories of excess consumption and binge drinking, has not been studied. The study objective was to investigate the effect of neighbourhood deprivation with age, gender and socioeconomic status (SES) on (1) excess alcohol consumption and (2) binge drinking, in a representative population survey. Design: Cross-sectional study: multilevel analysis. Setting: Wales, UK, adult population ∼2.2 million. Participants: 58 282 respondents aged 18 years and over to four successive annual Welsh Health Surveys (2003/2004-2007), nested within 32 692 households, 1839 census lower super output areas and the 22 unitary authority areas in Wales. Primary outcome measure: Maximal daily alcohol consumption during the past week was categorised using the UK Department of Health definition of 'none/never drinks', 'within guidelines', 'excess consumption but less than binge' and 'binge'. The data were analysed using continuation ratio ordinal multilevel models with multiple imputation for missing covariates. Results: Respondents in the most deprived neighbourhoods were more likely to binge drink than in the least deprived (adjusted estimates: 17.5% vs 10.6%; difference=6.9%, 95% CI 6.0 to 7.8), but were less likely to report excess consumption (17.6% vs 21.3%; difference=3.7%, 95% CI 2.6 to 4.8). The effect of deprivation varied significantly with age and gender, but not with SES. Younger men in deprived neighbourhoods were most likely to binge drink. Men aged 35-64 showed the steepest increase in binge drinking in deprived neighbourhoods, but men aged 18-24 showed a smaller increase with deprivation. Conclusions: This large-scale population study is the first to show that neighbourhood deprivation acts differentially on the risk of binge drinking between men and women at different age groups. Understanding the socioeconomic patterns of harmful alcohol consumption is important for public health policy development.

BMJ open · 82 citationsread the source →

Physical activity, diet, and risk of Alzheimer disease.

Context: Both higher adherence to a Mediterranean-type diet and more physical activity have been independently associated with lower Alzheimer disease (AD) risk but their combined association has not been investigated. Objective: To investigate the combined association of diet and physical activity with AD risk. Design, setting, and patients: Prospective cohort study of 2 cohorts comprising 1880 community-dwelling elders without dementia living in New York, New York, with both diet and physical activity information available. Standardized neurological and neuropsychological measures were administered approximately every 1.5 years from 1992 through 2006. Adherence to a Mediterranean-type diet (scale of 0-9; trichotomized into low, middle, or high; and dichotomized into low or high) and physical activity (sum of weekly participation in various physical activities, weighted by the type of physical activity [light, moderate, vigorous]; trichotomized into no physical activity, some, or much; and dichotomized into low or high), separately and combined, were the main predictors in Cox models. Models were adjusted for cohort, age, sex, ethnicity, education, apolipoprotein E genotype, caloric intake, body mass index, smoking status, depression, leisure activities, a comorbidity index, and baseline Clinical Dementia Rating score. Main outcome measure: Time to incident AD. Results: A total of 282 incident AD cases occurred during a mean (SD) of 5.4 (3.3) years of follow-up. When considered simultaneously, both Mediterranean-type diet adherence (compared with low diet score, hazard ratio [HR] for middle diet score was 0.98 [95% confidence interval {CI}, 0.72-1.33]; the HR for high diet score was 0.60 [95% CI, 0.42-0.87]; P = .008 for trend) and physical activity (compared with no physical activity, the HR for some physical activity was 0.75 [95% CI, 0.54-1.04]; the HR for much physical activity was 0.67 [95% CI, 0.47-0.95]; P = .03 for trend) were associated with lower AD risk. Compared with individuals neither adhering to the diet nor participating in physical activity (low diet score and no physical activity; absolute AD risk of 19%), those both adhering to the diet and participating in physical activity (high diet score and high physical activity) had a lower risk of AD (absolute risk, 12%; HR, 0.65 [95% CI, 0.44-0.96]; P = .03 for trend). Conclusion: In this study, both higher Mediterranean-type diet adherence and higher physical activity were independently associated with reduced risk for AD.

JAMA · 598 citationsread the source →