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The Indirect Effect of Parental Intolerance of Uncertainty on Perinatal Mental Health via Mindfulness During COVID-19.

Objectives: The COVID-19 pandemic is associated with mental health difficulties, especially during pregnancy and early postpartum. Intolerance of uncertainty (IU) and reduced capacity for mindfulness-a protective factor for child-bearers-may be particularly relevant factors driving mental health problems given the unpredictable nature of the pandemic. The current study aims to shed light on modifiable paths to perinatal psychological distress by testing whether there is an indirect effect of IU on psychological symptoms through a perceived reduction in mindfulness during the pandemic. Methods: Pregnant individuals (67%, n = 133) and new mothers within 6 months postpartum (33%, n = 66) participated in a cross-sectional online survey assessing IU, current and retrospective pre-pandemic mindfulness (FFMQ), and psychological symptoms (anxiety, depression, somatization; BSI). Perceived change in mindfulness was captured by including retrospective mindfulness as a covariate in the PROCESS macro used for analyses. Results: Tests of the direct association between mindfulness, IU, and psychological symptoms showed significant effects of IU (b = 0.46, SE = 0.064; p < .001) and perceived decrease in mindfulness during the pandemic (b =  - 0.72, SE = 0.08, p < .001) on psychological symptoms (R 2 = .21-.34; F[2, 197] = 51.13-52.81, p < .001). The indirect effect of IU on symptoms via perceived decrease in mindfulness during the pandemic (b = 0.13, SE = 0.043, 95%CI [.060, .226]) was significant (R 2 = .41, F[3, 195] = 45.08, p < .001). Conclusions: Results suggest that mothers who are less able to tolerate uncertainty experience more psychological symptoms, in part due to perceived reduction in mindfulness during the pandemic. Future research should examine whether IU is a screening risk marker and target for mindfulness-based interventions to improve maternal well-being and family outcomes.

Mindfulness · 16 citationsread the source →

Depression and economic hardship across Greece in 2008 and 2009: two cross-sectional surveys nationwide.

Purpose: In many western countries during the recent years, people have witnessed the deterioration of their economies and the emergence of related phenomena such as loss of property, unemployment and social disruption. These phenomena have also been associated with increasing levels of demoralization and the developing of major depressive episodes (MDE). Greece in the years 2008 and mainly in 2009 started facing a sharp economic decline. The purpose of this study was to explore the consequences of this condition and the ways are reflected in the prevalence of MDE during these two critical years. Method: Two nationwide cross-sectional telephone surveys were carried out in 2008 and 2009 with representative samples of 2,197 and 2,192 respondents, respectively. The interview comprised the SCID I module of MDE and an Index of Personal Economic Distress (IPED). Results: The 1-month prevalence of MDE in 2009 was found to be 6.8%, compared to corresponding rates of 3.3% in 2008. Respondents facing serious economic hardship (with higher scores in IPED) were mostly at risk for developing an MDE. Conclusions: The findings of both studies underline the significance of the risk involved in developing MDE when individuals have been exposed in extreme and stressful economic situations.

Social psychiatry and psychiatric epidemiology · 81 citationsread the source →

Social Determinants of Health: Underreported Heterogeneity in Systematic Reviews of Caregiver Interventions.

Background and objectives: Although most people have some experience as caregivers, the nature and context of care are highly variable. Caregiving, socioeconomic factors, and health are all interrelated. For these reasons, caregiver interventions must consider these factors. This review examines the degree to which caregiver intervention research has reported and considered social determinants of health. Research design and methods: We examined published systematic reviews and meta-analyses of interventions for older adults with age-related chronic conditions using the PRISMA and AMSTAR 2 checklists. From 2,707 papers meeting search criteria, we identified 197 potentially relevant systematic reviews, and selected 33 for the final analysis. Results: We found scant information on the inclusion of social determinants; the papers lacked specificity regarding race/ethnicity, gender, sexual identity, socioeconomic status, and geographic location. The majority of studies focused on dementia, with other conditions common in later life vastly underrepresented. Discussion and implications: Significant gaps in evidence persist, particularly for interventions targeting diverse conditions and populations. To advance health equity and improve the effectiveness of interventions, research should address caregiver heterogeneity and improve assessment, support, and instruction for diverse populations. Research must identify aspects of heterogeneity that matter in intervention design, while recognizing opportunities for common elements and strategies.

The Gerontologist · review · 88 citationsread the source →

Developmental change in amygdala reactivity during adolescence: effects of family history of depression and stressful life events.

Objective: Although heightened amygdala reactivity is observed in patients with major depression, two critical gaps in our knowledge remain. First, it is unclear whether heightened amygdala reactivity is a premorbid vulnerability or a consequence of the disorder. Second, it is unknown how and when this neural phenotype develops. The authors sought to address these gaps by evaluating developmental change in threat-related amygdala reactivity in adolescents at high or low risk for depression based on family history, before onset of disorder. Method: At baseline and again 2 years later, adolescents (initially 11-15 years of age) participated in a functional MRI paradigm that elicited threat-related amygdala reactivity. After quality control, data were available for 232 adolescents at wave 1 and 197 adolescents at wave 2; longitudinal data meeting quality control at both waves were available for 157 of these participants. Change in amygdala reactivity was assessed as a function of family history of depression and severity of stressful life events. Results: Threat-related amygdala reactivity increased with age in participants with a positive family history regardless of the severity of life stress reported, and it increased in adolescents with a negative family history who reported relatively severe life stress. These changes in amygdala reactivity with age occurred in the absence of clinical disorder or increases in depressive symptoms. Conclusions: These results suggest that heightened amygdala reactivity emerges during adolescence, prior to the development of depression, as a function of familial risk or, in the absence of familial risk, stressful life events.

The American journal of psychiatry · 121 citationsread the source →

Effectiveness of brief alcohol interventions in primary care populations.

Background: Excessive drinking is a significant cause of mortality, morbidity and social problems in many countries. Brief interventions aim to reduce alcohol consumption and related harm in hazardous and harmful drinkers who are not actively seeking help for alcohol problems. Interventions usually take the form of a conversation with a primary care provider and may include feedback on the person's alcohol use, information about potential harms and benefits of reducing intake, and advice on how to reduce consumption. Discussion informs the development of a personal plan to help reduce consumption. Brief interventions can also include behaviour change or motivationally-focused counselling. This is an update of a Cochrane Review published in 2007. Objectives: To assess the effectiveness of screening and brief alcohol intervention to reduce excessive alcohol consumption in hazardous or harmful drinkers in general practice or emergency care settings. Search methods: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, and 12 other bibliographic databases to September 2017. We searched Alcohol and Alcohol Problems Science Database (to December 2003, after which the database was discontinued), trials registries, and websites. We carried out handsearching and checked reference lists of included studies and relevant reviews. Selection criteria: We included randomised controlled trials (RCTs) of brief interventions to reduce hazardous or harmful alcohol consumption in people attending general practice, emergency care or other primary care settings for reasons other than alcohol treatment. The comparison group was no or minimal intervention, where a measure of alcohol consumption was reported. 'Brief intervention' was defined as a conversation comprising five or fewer sessions of brief advice or brief lifestyle counselling and a total duration of less than 60 minutes. Any more was considered an extended intervention. Digital interventions were not included in this review. Data collection and analysis: We used standard methodological procedures expected by Cochrane. We carried out subgroup analyses where possible to investigate the impact of factors such as gender, age, setting (general practice versus emergency care), treatment exposure and baseline consumption. Main results: We included 69 studies that randomised a total of 33,642 participants. Of these, 42 studies were added for this update (24,057 participants). Most interventions were delivered in general practice (38 studies, 55%) or emergency care (27 studies, 39%) settings. Most studies (61 studies, 88%) compared brief intervention to minimal or no intervention. Extended interventions were compared with brief (4 studies, 6%), minimal or no intervention (7 studies, 10%). Few studies targeted particular age groups: adolescents or young adults (6 studies, 9%) and older adults (4 studies, 6%). Mean baseline alcohol consumption was 244 g/week (30.5 standard UK units) among the studies that reported these data. Main sources of bias were attrition and lack of provider or participant blinding. The primary meta-analysis included 34 studies (15,197 participants) and provided moderate-quality evidence that participants who received brief intervention consumed less alcohol than minimal or no intervention participants after one year (mean difference (MD) -20 g/week, 95% confidence interval (CI) -28 to -12). There was substantial heterogeneity among studies (I² = 73%). A subgroup analysis by gender demonstrated that both men and women reduced alcohol consumption after receiving a brief intervention. We found moderate-quality evidence that brief alcohol interventions have little impact on frequency of binges per week (MD -0.08, 95% CI -0.14 to -0.02; 15 studies, 6946 participants); drinking days per week (MD -0.13, 95% CI -0.23 to -0.04; 11 studies, 5469 participants); or drinking intensity (-0.2 g/drinking day, 95% CI -3.1 to 2.7; 10 studies, 3128 participants).We found moderate-quality evidence of little difference in quantity of alcohol consumed when extended and no or minimal interventions were compared (-14 g/week, 95% CI -37 to 9; 6 studies, 1296 participants). There was little difference in binges per week (-0.08, 95% CI -0.28 to 0.12; 2 studies, 456 participants; moderate-quality evidence) or difference in days drinking per week (-0.45, 95% CI -0.81 to -0.09; 2 studies, 319 participants; moderate-quality evidence). Extended versus no or minimal intervention provided little impact on drinking intensity (9 g/drinking day, 95% CI -26 to 9; 1 study, 158 participants; low-quality evidence).Extended intervention had no greater impact than brief intervention on alcohol consumption, although findings were imprecise (MD 2 g/week, 95% CI -42 to 45; 3 studies, 552 participants; low-quality evidence). Numbers of binges were not reported for this comparison, but one trial suggested a possible drop in days drinking per week (-0.5, 95% CI -1.2 to 0.2; 147 participants; low-quality evidence). Results from this trial also suggested very little impact on drinking intensity (-1.7 g/drinking day, 95% CI -18.9 to 15.5; 147 participants; very low-quality evidence).Only five studies reported adverse effects (very low-quality evidence). No participants experienced any adverse effects in two studies; one study reported that the intervention increased binge drinking for women and two studies reported adverse events related to driving outcomes but concluded they were equivalent in both study arms. Sources of funding were reported by 67 studies (87%). With two exceptions, studies were funded by government institutes, research bodies or charitable foundations. One study was partly funded by a pharmaceutical company and a brewers association, another by a company developing diagnostic testing equipment. Authors' conclusions: We found moderate-quality evidence that brief interventions can reduce alcohol consumption in hazardous and harmful drinkers compared to minimal or no intervention. Longer counselling duration probably has little additional effect. Future studies should focus on identifying the components of interventions which are most closely associated with effectiveness.

The Cochrane database of systematic reviews · meta-analysis · 409 citationsread the source →

Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990-2021: a systematic analysis from the Global Burden of Disease Study 2021.

Background: Lower respiratory infections (LRIs) are a major global contributor to morbidity and mortality. In 2020-21, non-pharmaceutical interventions associated with the COVID-19 pandemic reduced not only the transmission of SARS-CoV-2, but also the transmission of other LRI pathogens. Tracking LRI incidence and mortality, as well as the pathogens responsible, can guide health-system responses and funding priorities to reduce future burden. We present estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 of the burden of non-COVID-19 LRIs and corresponding aetiologies from 1990 to 2021, inclusive of pandemic effects on the incidence and mortality of select respiratory viruses, globally, regionally, and for 204 countries and territories. Methods: We estimated mortality, incidence, and aetiology attribution for LRI, defined by the GBD as pneumonia or bronchiolitis, not inclusive of COVID-19. We analysed 26 259 site-years of mortality data using the Cause of Death Ensemble model to estimate LRI mortality rates. We analysed all available age-specific and sex-specific data sources, including published literature identified by a systematic review, as well as household surveys, hospital admissions, health insurance claims, and LRI mortality estimates, to generate internally consistent estimates of incidence and prevalence using DisMod-MR 2.1. For aetiology estimation, we analysed multiple causes of death, vital registration, hospital discharge, microbial laboratory, and literature data using a network analysis model to produce the proportion of LRI deaths and episodes attributable to the following pathogens: Acinetobacter baumannii, Chlamydia spp, Enterobacter spp, Escherichia coli, fungi, group B streptococcus, Haemophilus influenzae, influenza viruses, Klebsiella pneumoniae, Legionella spp, Mycoplasma spp, polymicrobial infections, Pseudomonas aeruginosa, respiratory syncytial virus (RSV), Staphylococcus aureus, Streptococcus pneumoniae, and other viruses (ie, the aggregate of all viruses studied except influenza and RSV), as well as a residual category of other bacterial pathogens. Findings: Globally, in 2021, we estimated 344 million (95% uncertainty interval [UI] 325-364) incident episodes of LRI, or 4350 episodes (4120-4610) per 100 000 population, and 2·18 million deaths (1·98-2·36), or 27·7 deaths (25·1-29·9) per 100 000. 502 000 deaths (406 000-611 000) were in children younger than 5 years, among which 254 000 deaths (197 000-320 000) occurred in countries with a low Socio-demographic Index. Of the 18 modelled pathogen categories in 2021, S pneumoniae was responsible for the highest proportions of LRI episodes and deaths, with an estimated 97·9 million (92·1-104·0) episodes and 505 000 deaths (454 000-555 000) globally. The pathogens responsible for the second and third highest episode counts globally were other viral aetiologies (46·4 million [43·6-49·3] episodes) and Mycoplasma spp (25·3 million [23·5-27·2]), while those responsible for the second and third highest death counts were S aureus (424 000 [380 000-459 000]) and K pneumoniae (176 000 [158 000-194 000]). From 1990 to 2019, the global all-age non-COVID-19 LRI mortality rate declined by 41·7% (35·9-46·9), from 56·5 deaths (51·3-61·9) to 32·9 deaths (29·9-35·4) per 100 000. From 2019 to 2021, during the COVID-19 pandemic and implementation of associated non-pharmaceutical interventions, we estimated a 16·0% (13·1-18·6) decline in the global all-age non-COVID-19 LRI mortality rate, largely accounted for by a 71·8% (63·8-78·9) decline in the number of influenza deaths and a 66·7% (56·6-75·3) decline in the number of RSV deaths. Interpretation: Substantial progress has been made in reducing LRI mortality, but the burden remains high, especially in low-income and middle-income countries. During the COVID-19 pandemic, with its associated non-pharmaceutical interventions, global incident LRI cases and mortality attributable to influenza and RSV declined substantially. Expanding access to health-care services and vaccines, including S pneumoniae, H influenzae type B, and novel RSV vaccines, along with new low-cost interventions against S aureus, could mitigate the LRI burden and prevent transmission of LRI-causing pathogens. Funding: Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care (UK).

The Lancet. Infectious diseases · systematic review · 388 citationsread the source →

Immunity duration of a recombinant adenovirus type-5 vector-based Ebola vaccine and a homologous prime-boost immunisation in healthy adults in China: final report of a randomised, double-blind, placebo-controlled, phase 1 trial.

Background: The 2013-15 Ebola virus disease epidemic in west Africa greatly accelerated the development of Ebola vaccine. We aimed to analyse the immune persistence induced by one shot of an adenovirus type-5 vector-based Ebola virus vaccine up to 6 months and the effect of boosting with a homologous vector in healthy adults in China. Methods: In a randomised, double-blind, placebo-controlled, phase 1 clinical trial in one site in Jiangsu Province, China, 120 healthy adults aged 18-60 years received an initial dose of intramuscular adenovirus type-5 Ebola virus vaccine of 4·0 × 1010 viral particles, 1·6 × 1011 viral particles, or placebo, and were followed up to day 168. Participants were subsequently re-recruited to receive a booster dose of the same vaccine or placebo, in the same dose, at month 6. Women who were pregnant, breastfeeding, or planned to become pregnant during the next month were excluded. Randomisation was conducted by computer-generated block randomisation. Randomisation data were unmasked for interim analysis of the data obtained between days 0-28 but not disclosed to participants or site staff. Safety and immunogenicity analysis were done on the intention-to-treat population. We aimed to assess the safety profile of the experimental vaccine and the immunity responses to a single-dose immunisation or a homologous prime-boost regimen. Primary outcomes were Ebola glycoprotein-specific ELISA antibody responses 28 days post-boost and the occurrences of adverse reactions post-boost. The original trial and the extended booster study were registered with ClinicalTrials.gov, numbers NCT02326194 and NCT02533791, respectively. Findings: Between Dec 28, 2014, and Jan 9, 2015, we enrolled 210 volunteers. 90 participants were not randomised due to not meeting inclusion criteria (61), meeting exclusion criteria (4), or withdrawal of consent (25). 120 people were randomly assigned to receive intramuscular Ebola vaccine at 4·0 × 1010 viral particles (low dose, n=40), Ebola vaccine at 1·6 × 1011 viral particles (high dose, n=40), or placebo (n=40, in two groups of 20). After prime vaccination, the geometric mean titer (GMT) of ELISA EC90 peaked at 682·7 (95% CI 424·3-1098·5) in the low-dose vaccine group and 1305·7 (970·1-1757·2) in the high-dose vaccine group at day 28, and then fell gradually through the next a few months to 575·5 (394·8-838·8) in the high-dose vaccine group and 197·9 (107·9-362·7) in the low-dose vaccine group at day 168. No specific response was recorded in the placebo group with a GMT of 5·0. Of the 120 participants involved in the initial trial, ten participants declined to participate, and 110 were included in the boost immunisation: 38 received the low dose, 35 received the high dose, and 37 received the placebo. At day 28 after boost vaccination, the ELISA EC90 titres rapidly rose to 6110 (95% CI 4705-7935) in the low-dose group and to 11825 (8904-15705) in the high dose group. 78 of 110 participants reported at least one solicited adverse reaction within the first 7 days after booster administration. Both of the groups who received vaccine showed significantly higher incidence of mild or moderate solicited adverse reactions than did the placebo group. Interpretation: The adenovirus 5-vectored Ebola vaccine of 1·6 × 1011 viral particles was highly immunogenic and safe. The lower dose of 4·0 × 1010 viral particles was also safe, but immunogenicity seemed to be more vulnerable to the pre-existing immunity of adenovirus 5. A homologous priming-boosting regimen with adenovirus type-5 Ebola vaccine at 6 months interval was able to elicit greater antibody responses with longer duration. These results support an immunisation strategy to implement a booster injection for a more durable protection against Ebola virus disease. Funding: Chinese Ministry of Science and Technology and The National Health and Family Planning Commission, Beijing Institute of Biotechnology, and Tianjin CanSino Biotechnology.

The Lancet. Global health · randomised controlled trial · 76 citationsread the source →

Effect of immunotherapy time-of-day infusion on overall survival among patients with advanced melanoma in the USA (MEMOIR): a propensity score-matched analysis of a single-centre, longitudinal study.

Background: The dependence of the adaptive immune system on circadian rhythm is an emerging field of study with potential therapeutic implications. We aimed to determine whether specific time-of-day patterns of immune checkpoint inhibitor infusions might alter melanoma treatment efficacy. Methods: Melanoma Outcomes Following Immunotherapy (MEMOIR) is a longitudinal study of all patients with melanoma who received ipilimumab, nivolumab, or pembrolizumab, or a combination of these at a single tertiary cancer centre (Winship Cancer Institute of Emory University, Atlanta, GA, USA). For this analysis, we collected deidentified participant-level data from the MEMOIR database for adults (age ≥18 years) diagnosed with stage IV melanoma between 2012 and 2020. Those who received fewer than four infusions were excluded. Standard of care doses were used, with modifications at the treating physicians' discretion. The primary outcome was overall survival, defined as death from any cause and indexed from date of first infusion of immune checkpoint inhibitor. We calculated the association between overall survival and proportion of infusions of immune checkpoint inhibitors received after 1630 h (a composite time cutoff derived from seminal studies of the immune-circadian rhythm to represent onset of evening) using Cox regression and propensity score-matching on age, Eastern Cooperative Oncology Group performance status, serum lactate dehydrogenase concentration, and receipt of corticosteroids and radiotherapy. Treatment-related adverse events that led to change or discontinuation of immune checkpoint inhibitors were also assessed. Findings: Between Jan 1, 2012, and Dec 31, 2020, 481 patients with melanoma received treatment with immune checkpoint inhibitors at the study centre, of whom 299 had stage IV disease and were included in this study; median follow-up was 27 months (IQR 14 to 47). In the complete unmatched sample, 102 (34%) patients were female and 197 (66%) were male, with a median age of 61 years (IQR 51 to 72). Every additional 20% of infusions of immune checkpoint inhibitors received after 1630 h (among all infusions received by a patient) conferred an overall survival hazard ratio (HR) of 1·31 (95% CI 1·00 to 1·71; p=0·046). A propensity score-matched analysis of patients who did (n=73) and did not (n=73) receive at least 20% of their infusions of immune checkpoint inhibitors after 1630 h (54 [37%] of 146 patients were women and 92 [63%] were men, with a median age of 58 years [IQR 48 to 68]) showed that having at least 20% of infusions in the evening was associated with shorter overall survival (median 4·8 years [95% CI 3·9 to not estimable] vs not reached; HR 2·04 [1·04 to 4·00; p=0·038]). This result remained robust to multivariable proportional hazards adjustment with (HR 1·80 [1·08 to 2·98; p=0·023]) and without (2·16 [1·10 to 4·25; p=0·025]) inclusion of the complete unmatched study sample. The most common adverse events were colitis (54 [18%] of 299 patients), hepatitis (27 [9%]), and hypophysitis (15 [5%]), and there were no treatment-related deaths. Interpretation: Our findings are in line with an increasing body of evidence that adaptive immune responses are less robust when initially stimulated in the evening than if stimulated in the daytime. Although prospective studies of the timing of immune checkpoint inhibitor infusions are warranted, efforts towards scheduling infusions before mid-afternoon could be considered in the multidisciplinary management of advanced melanoma. Funding: National Institutes of Health, American Society for Radiation Oncology and Melanoma Research Alliance, and Winship Cancer Institute.

The Lancet. Oncology · clinical trial · 146 citationsread the source →

Gender differences in rates of depression, PTSD, pain, obesity, and military sexual trauma among Connecticut War Veterans of Iraq and Afghanistan.

Purpose: The current wars in Iraq and Afghanistan have led to an increasing number of female veterans seeking medical and mental healthcare in the Department of Veterans Affairs (VA) healthcare system. To better understand gender differences in healthcare needs among recently returned veterans, we examined the prevalence of positive screenings for depression, posttraumatic stress disorder (PTSD), military sexual trauma (MST), obesity, and chronic pain among female and male veterans of Operation Enduring Freedom/Operation Iraqi Freedom (OEF/OIF) receiving care at the VA Connecticut Healthcare System. Methods: We performed a retrospective, cross-sectional data analysis of OEF/OIF veterans at VA Connecticut who received services in either Primary Care or the Women's Health Clinic between 2001 and 2006. Results: In this study, 1129 electronic medical records (1032 men, 197 women) were examined. Female veterans were more likely to screen positive for MST (14% vs. 1%, p < 0.001) and depression (48% vs. 39%, p = 0.01) and less likely to screen positive for PTSD (21% vs. 33%, p = 0.002). There was no significant gender difference in clinically significant pain scores. Men were more likely than women to have body mass index (BMI) >30 kg/m(2) (21% vs. 13%, p = 0.008). Conclusions: These results suggest that important gender differences exist in the prevalence of positive screenings for MST, depression, obesity, and PTSD. As the VA continues to review and improve its services for women veterans, clinicians, researchers, and senior leaders should consider innovative ways to ensure that female veterans receive the health services they need within the VA system.

Journal of women's health (2002) · cohort or longitudinal · 186 citationsread the source →

The validity and reliability of an instrument to assess nursing competencies in spiritual care.

Aim: This study contributes to the development of a valid and reliable instrument, the spiritual care competence scale, as an instrument to assess nurses' competencies in providing spiritual care. Background: Measuring these competencies and their development is important and the construction of a reliable and valid instrument is recommended in the literature. Design: Survey. Method: The participants were students from Bachelor-level nursing schools in the Netherlands (n = 197) participating in a cross-sectional study. The items in the instrument were hypothesised from a competency profile regarding spiritual care. Construct validity was evaluated by factor analysis and internal consistency was estimated with Cronbach's alpha and the average inter-item correlation. In addition, the test-retest reliability of the instrument was determined at a two-week interval between baseline and follow-up (n = 109). Results: The spiritual care competence scale comprises six spiritual-care-related nursing competencies. These domains were labelled: 1 assessment and implementation of spiritual care (Cronbach's alpha 0.82) 2 professionalisation and improving the quality of spiritual care (Cronbach's alpha 0.82) 3 personal support and patient counseling (Cronbach's alpha 0.81) 4 referral to professionals (Cronbach's alpha 0.79) 5 attitude towards the patient's spirituality (Cronbach's alpha 0.56) 6 communication (Cronbach's alpha 0.71). These subscales showed good homogeneity with average inter-item correlations >0.25 and a good test-retest reliability. Conclusion: This study conducted in a nursing-student population demonstrated valid and reliable scales for measuring spiritual care competencies. The psychometric quality of the instrument proved satisfactory. This study does have some methodological limitations that should be taken into account in any further development of the spiritual care competence scale. Relevance to clinical practice: The spiritual care competence scale can be used to assess the areas in which nurses need to receive training in spiritual care and can be used to assess whether nurses have developed competencies in providing spiritual care.

Journal of clinical nursing · cohort or longitudinal · 122 citationsread the source →

Effects of tesamorelin (TH9507), a growth hormone-releasing factor analog, in human immunodeficiency virus-infected patients with excess abdominal fat: a pooled analysis of two multicenter, double-blind placebo-controlled phase 3 trials with safety extension data.

Context: HIV patients treated with antiretroviral therapy (ART) often develop increased visceral adipose tissue (VAT). Objective: Our objective was to perform a pooled analysis of two phase-3 studies of tesamorelin in ART-treated HIV patients with excess abdominal fat. Design and setting: Two multicenter, international studies were conducted; a 26-wk randomized, placebo-controlled primary intervention phase was followed by a 26-wk safety extension. Patients: A total of 806 ART-treated HIV patients with excess abdominal fat were randomized in a 2:1 fashion to receive tesamorelin 2 mg (n = 543) or placebo (n = 263) sc daily. At wk 26, patients initially on tesamorelin were rerandomized to 2 mg tesamorelin (T-T group, n = 246) or placebo (T-P, n = 135) for an additional 26 wk, whereas patients on placebo were switched to tesamorelin (P-T, n = 197). Interventions: Tesamorelin (GHRH(1-44)) at a dose of 2 mg or identical placebo, sc, was given daily. Main outcome measure: We evaluated percent change in VAT by computed tomography scan at wk 26. Results: At wk 26, VAT decreased significantly in tesamorelin-treated patients (-24 +/- 41 vs. 2 +/- 35 cm(2), tesamorelin vs. placebo, P < 0.001; treatment effect, -15.4%). No significant changes were observed in abdominal sc adipose tissue (-2 +/- 32 vs. 2 +/- 29 cm(2), P = 0.08; treatment effect, -0.6%). Treatment with tesamorelin resulted in significant decreases in triglycerides (-37 +/- 139 vs. 6 +/- 112 mg/dl, P < 0.001; treatment effect, -12.3%) and cholesterol to high-density lipoprotein ratio (-0.18 +/- 1.00 vs. 0.18 +/- 0.94, P < 0.001; treatment effect, -7.2%) vs. placebo. Tesamorelin improved body image [belly appearance distress (P = 0.002)], patient rating of belly profile (P = 0.003), and physician rating of belly profile (P < 0.001). Mean IGF-I increased 108 +/- 112 vs.-7 +/- 64 ng/ml (P < 0.001 vs. placebo). At wk 52, decreases in VAT [-35 +/- 50 cm(2) (-17.5 +/- 23.3%)], waist circumference (-3.4 +/- 6.0 cm), triglycerides (-48 +/- 182 mg/dl), cholesterol (-8 +/- 38 mg/dl), and non-high-density lipoprotein (-7 +/- 38 mg/dl) were maintained (all P < 0.001 vs. original baseline) in the T-T group. Treatment with tesamorelin was generally well tolerated. No clinically meaningful differences were observed between groups in glucose parameters at wk 26 and 52. Conclusions: Treatment with tesamorelin reduces VAT and maintains the reduction for up to 52 wk, preserves abdominal sc adipose tissue, improves body image and lipids, and is overall well tolerated without clinically meaningful changes in glucose parameters.

The Journal of clinical endocrinology and metabolism · 74 citationsread the source →

Evaluating the efficacy of Circle of Security-Parenting as an addition to care-as-usual in families affected by maternal postpartum depression and/or infant social withdrawal: A randomized controlled trial

The Circle of Security – Parenting (COSP™) is a psychoeducational intervention aiming at fostering secure child-parent attachment relationships. In a randomized controlled trial, we investigate the effect of COSP™ as an adjunct to care-as-usual compared to only care-as-usual for at-risk families. Mothers and their 2–12-month-old infants were randomized into COSP™ +care-as-usual ( n = 197) for at-risk families in Copenhagen or only care-as-usual ( n = 100). At-risk status was either mothers diagnosed with postpartum depression and/or infants showed social withdrawal. The primary outcome was maternal sensitivity which was coded with the Coding Interactive Behavior. Our secondary outcomes were maternal reflective functioning, assessed with the Parental Reflective Functioning Questionnaire – Infant Version, and child-mother attachment, assessed with the Strange Situation Procedure. Results showed no significant differences between the RCT groups on either the primary or secondary outcomes (all p s ≥ .146). We discuss these findings in relation to the applicability and targeted population who can benefit from COSP™, and whether alternative programs would be more effective for at-risk families with infants.

Development and Psychopathology · 9 citationsread the source →

Influence of diet on leukocyte telomere length, markers of inflammation and oxidative stress in individuals with varied glucose tolerance: a Chinese population study.

Objectives: To explore influence of carbohydrates/fat proportions, dietary ingredients on telomere length shortening, oxidative stress and inflammation in a Chinese population with different glucose tolerance status. Methods: Five hundred and fifty-six Chinese subjects without diabetes history underwent a 75 g, 2 h Oral Glucose Tolerance Test (OGTT). Subjects with diabetes (n = 159), pre-diabetes (n = 197), and normal glucose tolerance (n = 200) were screened. Dietary intakes were evaluated using a semi-quantitative food frequency questionnaire (FFQ). Peripheral blood leukocyte telomere length (LTL) was assessed using a real-time PCR assay. Blood lipid profile, levels of the oxidative stress indicators superoxide dismutase (SOD), glutathione reductase (GR), 8-oxo-2'-deoxyguanosine (8-oxo-dG) and inflammation indicators tumor necrosis factor (TNF-ɑ), interleukine-6 (IL-6) were measured. Levels of HbA1c, plasma glucose, insulin, and C peptide were also determined. Measurements were taken at 0 min, 30 min, 60 min, and 120 min after 75 g OGTT. Insulin sensitivity was evaluated by HOMA-IR. Basal insulin secretion index (HOMA-β), early phase disposition index (DI30) and total phase disposition index (DI120) indicate insulin levels at different phases of insulin secretion. Results: In patients with newly diagnosed diabetes, LTL adjusted by age was longer in HbA1c < 7 % group (log (LTL):1.93 ± 0.25) than in HbA1c ≥ 7 % group (log (LTL):1.82 ± 0.29). LTL was not associated with daily energy intake, diet fat, carbohydrates and protein proportions. Multiple linear regression analysis indicated that legumes, nuts, fish and seaweeds were protective factors for LTL shortening, and sweetened carbonated beverage was a risk factor for LTL shortening ( legumes: β = 0.105, p = 0.018; nuts: β = 0.110, p = 0.011; fish: β = 0.118, p = 0.007; seaweeds: β = 0.116, p = 0.009; sweetened carbonated beverage: β = -0.120, p = 0.004 ). Daily energy intake was positively associated with TNF-ɑ, IL-6 (TNF-ɑ: r = 0.125, p = 0.006;IL-6: r = 0.092, p =0.04). Fat, carbohydrate proportions were positively associated with TNF-ɑ (fat: r = 0.119, p = 0.008 ; carbohydrate: r = 0.094, p = 0.043). Seaweeds and dairy intake were negatively associated with 8-oxo-dG (seaweed: r = -0.496, p = 0.001;dairy: r = -0.246, p = 0.046 ), vegetables and fruits were positively associated with GR ( vegetables: r = 0.101, p = 0.034;fruits: r = 0.125, p = 0.045). Cereal, meat were positively associated with TNF-ɑ ( cereal: r = 0.091, p = 0.048 ; meat: r = 0.405, p = 0.009). Conclusion: Diabetes patients with better plasma glucose (HbA1c < 7 %) had longer LTL, LTL could reflect plasma glucose status in diabetes patients. LTL were probably not influenced by diet carbohydrates/fat proportions but was associated with diet ingredients. Diet ingredients significantly impacted on markers of inflammation and oxidative stress, which probably had an effect on LTL.

Nutrition journal · 58 citationsread the source →

It's not all about autism: The emerging landscape of anti-vaccination sentiment on Facebook.

Background: Due in part to declining vaccination rates, in 2018 over 20 states reported at least one case of measles, and over 40,000 cases were confirmed in Europe. Anti-vaccine posts on social media may be facilitating anti-vaccination behaviour. This study aimed to systematically characterize (1) individuals known to publicly post anti-vaccination content on Facebook, (2) the information they convey, and (3) the spread of this content. Methods: Our data set consisted of 197 individuals who posted anti-vaccination comments in response to a message promoting vaccination. We systematically analysed publicly-available content using quantitative coding, descriptive analysis, social network analysis, and an in-depth qualitative assessment. The final codebook consisted of 26 codes; Cohen's κ ranged 0.71-1.0 after double-coding. Results: The majority (89%) of individuals identified as female. Among 136 individuals who divulged their location, 36 states and 8 other countries were represented. In a 2-mode network of individuals and topics, modularity analysis revealed 4 distinct sub-groups labelled as "trust," "alternatives," "safety," and "conspiracy." For example, a comment representative of "conspiracy" is that poliovirus does not exist and that pesticides caused clinical symptoms of polio. An example from the "alternatives" sub-group is that eating yogurt cures human papillomavirus. Deeper qualitative analysis of all 197 individuals' profiles found that these individuals also tended to post material against other health-related practices such as water fluoridation and circumcision. Conclusions: Social media outlets may facilitate anti-vaccination connections and organization by facilitating the diffusion of centuries old arguments and techniques. Arguments against vaccination are diverse but remain consistent within sub-groups of individuals. It would be valuable for health professionals to leverage social networks to deliver more effective, targeted messages to different constituencies.

Vaccine · 113 citationsread the source →

Potential for Zika virus introduction and transmission in resource-limited countries in Africa and the Asia-Pacific region: a modelling study.

Background: As the epidemic of Zika virus expands in the Americas, countries across Africa and the Asia-Pacific region are becoming increasingly susceptible to the importation and possible local spread of the virus. To support public health readiness, we aim to identify regions and times where the potential health, economic, and social effects from Zika virus are greatest, focusing on resource-limited countries in Africa and the Asia-Pacific region. Methods: Our model combined transportation network analysis, ecological modelling of mosquito occurrences, and vector competence for flavivirus transmission, using data from the International Air Transport Association, entomological observations from Zika's primary vector species, and climate conditions using WorldClim. We overlaid monthly flows of airline travellers arriving to Africa and the Asia-Pacific region from areas of the Americas suitable for year-round transmission of Zika virus with monthly maps of climatic suitability for mosquito-borne transmission of Zika virus within Africa and the Asia-Pacific region. Findings: An estimated 2·6 billion people live in areas of Africa and the Asia-Pacific region where the presence of competent mosquito vectors and suitable climatic conditions could support local transmission of Zika virus. Countries with large volumes of travellers arriving from Zika virus-affected areas of the Americas and large populations at risk of mosquito-borne Zika virus infection include India (67 422 travellers arriving per year; 1·2 billion residents in potential Zika transmission areas), China (238 415 travellers; 242 million residents), Indonesia (13 865 travellers; 197 million residents), Philippines (35 635 travellers; 70 million residents), and Thailand (29 241 travellers; 59 million residents). Interpretation: Many countries across Africa and the Asia-Pacific region are vulnerable to Zika virus. Strategic use of available health and human resources is essential to prevent or mitigate the health, economic, and social consequences of Zika virus, especially in resource-limited countries. Funding: Canadian Institutes of Health Research and the US Centers for Disease Control and Prevention.

The Lancet. Infectious diseases · 134 citationsread the source →

Cohort Profile: The National Longitudinal Study of Adolescent to Adult Health (Add Health)

The National Longitudinal Study of Adolescent Health (Add Health) was developed in the 1990s in response to a mandate from the United States Congress to fund a study of adolescent health, and was designed by a team of multidisciplinary investigators from the social, behavioural and biomedical sciences. The original purpose of Add Health was to understand the causes of adolescent health and health behaviour, with special emphasis on the multiple contexts of adolescent life. To achieve this scientific goal, Add Health sampled the school and family environments in which young people live their lives, which included data on peer relationship dyads, parents, siblings, neighbourhoods and communities, and provides independent and direct measurement of these complex environments over time. As the cohort transitioned into adulthood, research objectives turned to understanding how adolescent experiences, behaviours and contexts are linked to health and achievement outcomes in adulthood, and the name of the study was officially changed to The National Longitudinal Study of Adolescent to Adult Health in 2014. Add Health is housed at the Carolina Population Center at the University of North Carolina (UNC) and has been led by two principal investigators and project directors: J Richard Udry from 1994–2004; and Kathleen Mullan Harris from 2004 to the present. Add Health is a nationally representative cohort study of more than 20 000 adolescents in grades 7–12 (aged 12–19) in the USA in 1994–95, who have been followed through adolescence and into adulthood with five in-home interviews in 1995 (Wave I), 1996 (Wave II), 2001–02 (Wave III), 2008–09 (Wave IV) and 2016–18 (Wave V).1Figure 1 displays the sampling design for selecting the original cohort. A school-based design selected 80 high schools and a paired feeder school from a list of all high schools in the USA in 1994. An in-school questionnaire was administered to more than 90 000 students in grades 7–12, who attended these schools during the 1994–95 school year, and school administrators also filled out a questionnaire about the school. Sampling structure. School rosters from the 1993–94 school year provided the sampling frame for a second level of sampling for a 90-min in-home interview with an adolescent and a 30-min interview with one parent. A grade- and gender-stratified core sample was selected from each school pair, representing a self-weighting nationally representative sample of 12 105 American adolescents in grades 7–12 in 1995. Based on responses to the in-school survey, specific subpopulations were oversampled for purposes of providing sufficient numbers for research on vulnerable and otherwise rare populations, including ethnic (Cuban, Puerto Rican and Chinese), genetic relatedness to siblings (identical/fraternal twins, full/half siblings and unrelated adolescents living in the same household), adoption status and disability samples. Black adolescents with highly educated parents were also oversampled. For two large schools and fourteen small schools, interviews with all enrolled students were attempted to create a special saturation sample. The core sample plus the special samples yield a total of 20 745 adolescents. This Wave I in-home sample represents the national cohort of adolescents in grades 7–12 in the USA in 1995, which is followed prospectively. Because school rosters from the year preceding sample selection were used as the sampling frame for the prospective cohort, high school dropouts over 2 years (e.g. 1993–94; 1994–95) were eligible for sample selection, resulting in little bias due to high school dropouts.2 For more details on design, see Harris 2010 and Harris et al., 2013.3,4 Figure 2 shows the longitudinal design of Add Health. The Wave I in-home adolescent cohort has been followed up with four subsequent waves spanning 20+ years. In 1996, all adolescents in grades 7 through 11 in Wave I (plus 12th graders who were part of the genetic and adopted sample) were re-interviewed for Wave II (n = 14 738); the decision not to follow up the seniors who were in grade 12 at Wave I was design-based. The Wave II sample were in grades 8 through 12. A follow-up school administrator interview measured change in school context from 1995 to 1996. Longitudinal design. The original cohort was followed through their transition to early adulthood with a Wave III in-home interview in 2001–02 when the sample was aged 18–26 years (n = 15 197). A sample of 1507 partners were randomly selected during the in-home interview and interviewed, filling quota samples of about 500 married, 500 cohabiting and 500 dating partners. Wave IV re-interviewed the original cohort as they settled into young adulthood in 2008–09 when the cohort was aged 24–32 years (n = 15 701). Wave V followed the cohort to the end of young adulthood when they were aged 32–42, with continuous interviewing using a mixed-mode protocol during 2016–18. Finally, the Add Health Parent Study completed a 20-year follow-up of a subset of the parents of Add Health respondents during 2015–17 (n = 3006). Add Health uses state-of-the-art methods and techniques for panel maintenance and tracing to locate and schedule an interview with all living eligible respondents, including those who may have been non-responsive in a preceding wave. Table 1 presents response rates for the eligible sample at each completed wave of interviews. Response rates have been quite high, highest when the interval between interview waves is short but remarkably high even when the interval is over 5 years at Waves III and IV. The transition from adolescence to early adulthood and the young adult period is an especially transient phase of the life course and it is difficult to track and locate young people. Add Health has done exceptionally well, with response rates of 77.4% and 80.3% at Waves III and IV. Response rates in Add Health for the eligible sample at each wave of in-home interviews By design, respondents who were in the 12th grade at Wave I and who were not part of the genetic sample were not interviewed at Wave II. Response rate at Wave III is based on 15 170 respondents who had data at Wave I. An additional 27 respondents without Wave I data were included at Wave III as part of the genetic subsample. Wave V response rates are not provided because data collection is ongoing, and only a subset of Wave V respondents completed in-home interviews. Response rates in Add Health for the eligible sample at each wave of in-home interviews By design, respondents who were in the 12th grade at Wave I and who were not part of the genetic sample were not interviewed at Wave II. Response rate at Wave III is based on 15 170 respondents who had data at Wave I. An additional 27 respondents without Wave I data were included at Wave III as part of the genetic subsample. Wave V response rates are not provided because data collection is ongoing, and only a subset of Wave V respondents completed in-home interviews. There has been differential attrition by gender, age, socioeconomic status, urban residence, immigrant status and race across time, with higher response rates for female, younger, higher socioeconomic status, urban, native-born and White respondents at Waves III and IV. These attrition patterns are consistent with most longitudinal cohort studies. Add Health response rates exceed other national studies with multiple year intervals between waves (e.g. National Survey of Families and Households 2001–03 wave had a 55% response rate; Midlife in the United States 2004–06 interview had a 75% retention rate).5,6 At each wave, Add Health analysed whether patterns of attrition pose any bias to estimates of survey outcomes.7–10 In general, non-response analyses compare respondents and non-respondents on a range of demographic, health, behavioural and attitudinal indicators measured at baseline, and estimate the extent to which differences between respondents and non-respondents introduce bias in study results. Results indicated that total and relative biases, remaining after study estimates were adjusted with final sampling weights, were minimal and that the sample at each wave adequately represented the same population as the Wave I sample. Analysis of bias due to attrition at Wave IV indicated low rates of bias that rarely exceeded 1%, which is small relative to the 20% to 80% prevalence rates for most of the baseline indicators. Despite common patterns of attrition over time, the design strategy to re-interview the original Wave I cohort at each follow-up wave minimizes non-response bias and continues to adequately represent the original cohort of 7-12th graders in US schools in 1995. Add Health contains unprecedented environmental, behavioural, psychosocial, biological and genetic data from early adolescence into adulthood on a large, nationally representative sample with extensive racial, ethnic, socioeconomic and geographical diversity.4 Longitudinal survey data on respondents’ social, economic, psychological and physical well-being is combined with contextual data on family, neighbourhood, community, school, friendships, peer groups and romantic relationships, providing unique opportunities to study how psychological characteristics, social environments and behaviours beginning in early adolescence are linked to health and well-being in adulthood. Extensive longitudinal life histories of health-related behaviour are available, including physical activity, risk behaviour, substance use, sexual behaviour, civic engagement, education and multiple longitudinal indicators of health status, such as general health, chronic illness, overweight status and obesity, mental health, disability, health promotion and sleep. Objective measures of health were collected across all waves, including anthropometrics, sexually transmitted infection (STI) test results [including human immunodeficiency virus (HIV)], DNA and an expanded set of biomarkers in adulthood (Waves IV and V) (including blood pressure and pulse, measures of glucose homeostasis, lipid metabolism, inflammation, immune and renal function and a medications inventory). Below we describe the innovative multilevel data that have provided unprecedented research opportunities for a multidisciplinary scientific community. The clustered design of Add Health makes possible unique contextual levels of measurement, shown in Table 2. School-context data come from school administrator reports on school policies, health services and other school characteristics and from the in-school interviews of students whose aggregated responses represent school census measures. From respondent reports of colleges attended, college context data have been linked to individual records. Family-context data come from parent questionnaires, adolescent in-school and in-home questionnaires and interviews with siblings and additional adolescents living in the same household. Contextual levels of measurement in Add Health W1 = adolescent in- school and in-home, parent and school administrator surveys, geocodes. W2 = adolescent in-home, school administrator and geocodes. W3 = young adult in-home and partner sample surveys, geocodes, biomarkers. W4 = young adult in-home, biomarkers, geocodes. W5 = adult survey, biomarkers, geocodes. Additional variables from administrative datasets (e.g. US Census, Centers for Disease Control and Prevention, National Center for Health Statistics, Federal Bureau of Investigation, National Council of Churches, Common Core of Data, Private School Survey). , variable available; o, planned variable construction. Contextual levels of measurement in Add Health W1 = adolescent in- school and in-home, parent and school administrator surveys, geocodes. W2 = adolescent in-home, school administrator and geocodes. W3 = young adult in-home and partner sample surveys, geocodes, biomarkers. W4 = young adult in-home, biomarkers, geocodes. W5 = adult survey, biomarkers, geocodes. Additional variables from administrative datasets (e.g. US Census, Centers for Disease Control and Prevention, National Center for Health Statistics, Federal Bureau of Investigation, National Council of Churches, Common Core of Data, Private School Survey). , variable available; o, planned variable construction. Adolescents were asked to nominate friends and sexual and romantic partners from the school rosters in the in-school and in-home surveys at Waves I and II. Peer networks characteristics can be constructed by linking friends’ data and constructing variables based on friends’ responses, and similar measures can be constructed for linked romantic and sexual partners. These peer- and dyad-context measures constitute the social network data, including information on friendship networks, sexual networks and friendship and relationship dyads. Respondents’ home residences have been geocoded at each interview wave, and contextual data on the neighbourhood, community and state have been merged to all individual records. Nearly 12 000 environmental data elements at multiple geographical levels are available across waves. This includes such information as race, ethnic, foreign-born and religious denomination composition, poverty rates, crime statistics, STI prevalence, divorce and child support laws, welfare policies, cigarette taxes, the proximity and number of parks, sidewalks, recreation centres, fast food restaurants, alcohol outlets and other physical and social characteristics of the environments in which young people live. Table 3 shows the array of survey and biological data in Add Health. The top panel lists the domains covered by the survey instruments at each wave, including individual-level data on household and family structure, personality, religiosity and spirituality, relationships, sexual behaviour, contraception, pregnancy, children and parenting, sleep patterns, physical activity, diet, substance use/abuse, violence, delinquency, involvement with the criminal justice system, education history, work experiences, military service, chronic and disabling conditions, injury, mental health, suicide and health service access and use. Even though respondents were first interviewed in early adolescence, there are data on infancy (birthweight) and childhood (e.g. maltreatment, chronic conditions, attention deficit hyperactivity disorder) and complete data on fertility outcomes (there were more than 14 500 births to Add Health respondents by Wave IV). Survey and biomarker domains across Waves I-V in Add Health Survey and biomarker domains across Waves I-V in Add Health The bottom panel of Table 3 shows the biological measures available across waves. The original study design included important features for understanding biological processes in health and developmental trajectories across the life course, including an embedded genetic sample with more than 3000 pairs of adolescents with varying biological resemblance (see Figure 1) and measurement of height and weight to track the obesity epidemic. At Wave III, urine and saliva samples were collected to test for STI and HIV,11,12 and buccal cell saliva was collected from twins and full siblings in the genetic subsample for DNA extraction.13 An expanded set of biological measures were collected at Wave IV, including biomarkers of cardiovascular health (blood pressure, pulse), metabolic processes (waist circumference, glycosylated haemoglobin, blood glucose, lipids), immune function (Epstein-Barr virus), inflammation (C-reactive protein) and a medications inventory. Repeat biomarker measures were collected at Wave V, including new markers of renal disease. Saliva DNA was collected from the full sample at Wave IV. Candidate loci in the dopamine and serotonin pathways have been genotyped and disseminated to the scientific community.14 Genome-wide genotyping was completed on 10 974 Wave IV respondents who consented to archive their specimens for further testing, and genome-wide association study (GWAS) data are available from the database of Genotypes and Phenotypes (dbGaP). Add Health maintains a biospecimen archive available for ancillary studies. Add Health has a large and multidisciplinary user base of more than 50 000 researchers around the world, who have published over 3500 peer-reviewed articles in more than 750 different disciplinary journals, and has been the data source for more than 800 master’s theses and dissertations. Publications are listed at [https://www.cpc.unc.edu/projects/addhealth/publications]. Early publications focused on the role of social context in the development of adolescent health, behaviour, expectations and attainment, finding important influences of family and school connectedness,15 peer influence,16–18 romantic relationships,19 and neighbourhoods.20–22 For example, adolescents with a greater number and higher quality of connections to their school and family had better physical and mental health and higher attainment than youth with Adolescents whose friendship networks included friends with highly parents were than those whose friends had parents to studies that romantic in adolescence can adolescent and is with higher rates of obesity and weight in publications an of chronic young including a prevalence of and prevalence of the longitudinal data, researchers have the developmental and health pathways to young adult Add Health data support longitudinal studies of partner substance and health during the early life course from adolescence into young Add Health has the obesity and outcomes for adolescents. In adolescence of the sample were in 2001–02 when the cohort was aged the to in of the cohort at 24–32 was on these longitudinal data, The and the of obesity early in that adolescents were more to obesity in young adulthood with overweight by a risk of to individual obesity trajectories from adolescence at Wave II to young adulthood at Wave III into not who were who during the transition to young adulthood, and who were adolescence and young adulthood, As shown in Figure greater to obesity during adolescence and young adulthood is with a higher of high and sleep in adulthood. from adolescence to young adulthood with multiple health outcomes in adulthood (n The unique design and of the sample possible health research on special including the adopted youth living with parents sexual and adopted adolescents are more to suicide than their adolescents are at higher health risk on a range of indicators with adolescents who only one and more and than There is a large and of research that the genetic data with the longitudinal environmental data to the of and in health and behavioural of genetic research articles have these on a range of including risk substance sexual and friendship and Genome-wide association study (GWAS) data were for the pairs and Wave IV archive the of a large number of These the new differences in the education and of school environments in the education association with and family and education role in social and cohort differences in the genetic relationship between education and In innovative new research is providing human of genetic in which the of individual behaviour, for and Figure for social genetic of and friends on attainment, and The the of school and of for attainment in the top in the second panel and height in the The is the baseline of on outcomes in a with other and the represent the adjusted for individual-level The results that the of an and friends the attainment, an height is with the height of Add Health has in for new including attainment, height and alcohol genetic Add Health research uses biomarker data to social and behavioural with measures of research has the between a childhood and STI social status and and and life course of social and life for The role of social and social context in pathways was for the first young the for in the early in life and biological are to family and urban young from social is with mental health but physical health for young with The of Add Health from contextual and national design. The adolescent social context and peer network data, in are unique because they not on to an of an national of people who live in all 50 and come from race, ethnic, geographical and socioeconomic and ethnic with sufficient numbers to of Puerto and and and vulnerable including with children and adopted and sexual genetic sample of over 3000 pairs of with varying biological and longitudinal data from respondents and their longitudinal social, behavioural and biological data beginning in early adolescence and into extensive longitudinal multilevel data beginning in early adolescence on life and social and physical including family, school, neighbourhood, community and social measures of health including blood pressure, glucose, virus circumference, and and DNA on 000 and genome-wide genotyping on the full sample at Wave and collection of DNA on twins and full data be available in the including and data (see Table a of the of survey data measurement of specific and a for survey and biomarker measures. are available to researchers in representing a subset of and high which are only to which can only be used in a data to Add Health data to other and high school data, which are available in data access the and of respondents data access to a range of including data access study and can be at data can be Add Health is an longitudinal study of a nationally representative US cohort of 20 745 adolescents in grades (aged in includes four in-home interviews in 1996, 2016–18. attrition has been with response rates from to across follow-up waves, and attrition bias has been The study unprecedented environmental, behavioural, psychosocial, biological and genetic data from early adolescence into adulthood with extensive racial, ethnic, socioeconomic and geographical Add Health has a large, multidisciplinary user base of over 50 000 researchers around the world, who have published over 3500 research the Add Health cohort at the of the obesity with for health and social genetic of and on health and Add Health datasets are to a data to the of information and in of the see Add Health is by the National of Health and with from other and The full list of can be at This research uses data from Add a project by Kathleen Mullan Harris and designed by J Richard and Kathleen Mullan at the University of North Carolina at and by from the National of Health and with from other and is due to and for in the original design. also to data from National of Health and to Kathleen Mullan Harris and to Kathleen Mullan and of

International Journal of Epidemiology · 531 citationsread the source →

A sentence completion procedure as an alternative to the Autobiographical Memory Test for assessing overgeneral memory in non-clinical populations.

Overgeneral memory (OGM) has been proposed as a vulnerability factor for depression (Williams et al., 2007) or depressive reactivity to stressful life-events (e.g., Gibbs & Rude, 2004). Traditionally, a cue word procedure known as the Autobiographical Memory Test (AMT; Williams & Broadbent, 1986) is used to assess OGM. Although frequently and validly used in clinical populations, there is evidence suggesting that the AMT is insufficiently sensitive to measure OGM in non-clinical groups. Study 1 evaluated the usefulness of a sentence completion method to assess OGM in non-clinical groups, as an alternative to the AMT. Participants were 197 students who completed the AMT, the Sentence Completion for Events from the Past Test (SCEPT), a depression measure, and visual analogue scales assessing ruminative thinking. Results showed that the mean proportion of overgeneral responses was markedly higher for the SCEPT than for the standard AMT. Also, overgeneral responding on the SCEPT was positively associated to depression scores and depressive rumination scores, whereas overgeneral responding on the AMT was not. Results suggest that the SCEPT, relative to the AMT, is a more sensitive instrument to measure OGM, at least in non-clinical populations. Study 2 further showed that this enhanced sensitivity is most likely due to the omission of the instruction to be specific rather than to the SCEPT's sentence completion format (as opposed to free recall to cue words).

Memory (Hove, England) · 95 citationsread the source →

Parental recall, attachment relating and self-attacking/self-reassurance: their relationship with depression.

Objectives: When things go wrong for people they can become self-critical or focus on positive, reassuring aspects of the self. This study explored the relationship between forms of self-criticism and self-reassurance, recall of parental experiences and attachment style in relation to depressed symptoms in students. Methods: A sample of 197 undergraduate students from the UK and Canada completed self-report questionnaires measuring recall of parental styles, attachment, forms of self-criticism, self-reassurance, and depression symptoms. Results: Recall of parents as rejecting and overprotecting was significantly related to both inadequacy and self-hating self-criticism. In contrast, parental warmth was negatively correlated with these forms of self-criticism. In addition, when things go wrong for the person, recall of parental warmth was associated with the ability to be self-reassuring. A mediator analysis suggested that (I) the impact of recall of negative parenting on depression is mediated through the forms of self-criticism and (2) the effect of parental warmth on depression was mediated by the ability to be self-reassuring. Conclusions: The impacts of negative parenting styles may translate into vulnerabilities to depression via the way children (and later adults) develop their self-to-self relating (e.g. as self-critical versus self-reassuring). Hence, there is a need for further research on the link between attachment experiences, recall of parental rejection/warmth and their relationship to internal, self-evaluative and affect systems in creating vulnerabilities to psychopathology.

The British journal of clinical psychology · 68 citationsread the source →