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Association of Attention-Deficit/Hyperactivity Disorder Diagnosis With Adolescent Quality of Life.
Kazda, L, McGeechan, K, Bell, K, Thomas, R, Barratt, A
JAMA network open. 2022;5(10):e2236364
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Attention-deficit/hyperactivity disorder (ADHD) is “a persistent pattern of inattention and/or hyperactivity-impulsivity that interferes with functioning…and negatively impacts…social and academic activities”. This negative effect can extend beyond activities directly impacted by hyperactive or inattentive (H/I) behaviours, thus affecting overall quality of life (QOL). The aim of this study was to investigate whether an ADHD diagnosis in childhood or early adolescence is associated with improved QOL in adolescents compared with well-matched individuals without diagnosis. This study is a cohort study which followed an emulated target trial design using prospective, observational data from the Longitudinal Study of Australian Children. Results show that children diagnosed with ADHD reported similar or poorer QOL at age 14 to 15 years compared with children who had grown up experiencing the same levels of H/I behaviours but had not been given an ADHD diagnosis. Furthermore, an ADHD diagnosis did have some negative associations, including an increase in risk of self-harm. Authors conclude that their findings raise important questions about the long-term effectiveness and safety of diagnosing children and adolescents with ADHD, especially for those with low-risk or borderline H/I behaviours.
Abstract
IMPORTANCE Appropriate diagnosis of attention-deficit/hyperactivity disorder (ADHD) can improve some short-term outcomes in children and adolescents, but little is known about the association of a diagnosis with their quality of life (QOL). OBJECTIVE To compare QOL in adolescents with and without an ADHD diagnosis. DESIGN, SETTING, AND PARTICIPANTS This cohort study followed an emulated target trial design using prospective, observational data from the Longitudinal Study of Australian Children, a representative, population-based prospective cohort study with biennial data collection from 2006 to 2018 with 8 years of follow-up (ages 6-7 to 14-15 years). Propensity score matching was used to ensure children with and without ADHD diagnosis were well matched on a wide range of variables, including hyperactive/inattentive (H/I) behaviors. Eligible children were born in 1999 to 2000 or 2003 to 2004 and did not have a previous ADHD diagnosis. All incident ADHD cases were matched with controls. Data were analyzed from July 2021 to January 2022. EXPOSURES Incident parent-reported ADHD diagnosis at age 6 to 7, 8 to 9, 10 to 11, 12 to 13, or 14 to 15. MAIN OUTCOMES AND MEASURES Quality of life at age 14 to 15 was measured with Child Health Utility 9D (CHU9D) and 8 other prespecified, self-reported measures mapped to the World Health Organization's QOL domains. Pooled regression models were fitted for each outcome, with 95% CIs and P values calculated using bootstrapping to account for matching and repeat observations. RESULTS Of 8643 eligible children, a total of 393 adolescents had an ADHD diagnosis (284 [72.2%] boys; mean [SD] age, 10.03 [0.30] years; mean [SD] H/I Strengths and Difficulties Questionnaire score, 5.05 [2.29]) and were age-, sex-, and H/I score-matched with 393 adolescents without ADHD diagnosis at time zero. Compared with adolescents without diagnosis, those with an ADHD diagnosis reported similar QOL on CHU9D (mean difference, -0.03; 95% CI, -0.07 to 0.01; P = .10), general health (mean difference, 0.11; 95% CI, -0.04 to 0.27; P = .15), happiness (mean difference, -0.18; 95% CI, -0.37 to 0.00; P = .05), and peer trust (mean difference, 0.65; 95% CI, 0.00 to 1.30; P = .05). Diagnosed adolescents had worse psychological sense of school membership (mean difference, -2.58; 95% CI, -1.13 to -4.06; P < .001), academic self-concept (mean difference, -0.14; 95% CI, -0.02 to -0.26; P = .02), and self-efficacy (mean difference, -0.20; 95% CI, -0.05 to -0.33; P = .007); displayed more negative social behaviors (mean difference, 1.56; 95% CI, 0.55 to 2.66; P = .002); and were more likely to harm themselves (odds ratio, 2.53; 95% CI, 1.49 to 4.37; P < .001) than adolescents without diagnosis. CONCLUSIONS AND RELEVANCE In this cohort study, ADHD diagnosis was not associated with any self-reported improvements in adolescents' QOL compared with adolescents with similar levels of H/I behaviors but no ADHD diagnosis. ADHD diagnosis was associated with worse scores in some outcomes, including significantly increased risk of self-harm. A large, randomized clinical trial with long-term follow-up is needed.
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Effect of a Multidomain Lifestyle Intervention on Estimated Dementia Risk.
Solomon, A, Handels, R, Wimo, A, Antikainen, R, Laatikainen, T, Levälahti, E, Peltonen, M, Soininen, H, Strandberg, T, Tuomilehto, J, et al
Journal of Alzheimer's disease : JAD. 2021;82(4):1461-1466
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Early identification of individuals at-risk of dementia is essential for effective preventive strategies. The aim of this study was to investigate the effect of a multidomain lifestyle intervention on the risk of dementia. This study is a post-hoc analyses of intervention effects on change in the Cardiovascular Risk Factors, Aging and Dementia (CAIDE) Dementia Risk Score. The CAIDE score was used to select at-risk participants to the FINGER trial. FINGER is a multicentre study conducted in 6 centres in Finland. Results show a significant beneficial intervention effect, especially in women, on reducing estimated dementia risk measured by the CAIDE score. Authors conclude that CAIDE risk score can be used as a tool to communicate dementia risk, and to select persons that may benefit from lifestyle interventions.
Abstract
We investigated the effect of a multidomain lifestyle intervention on the risk of dementia estimated using the validated CAIDE risk score (post-hoc analysis). The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) is a 2-year randomized controlled trial among 1,260 at-risk older adults (60-77 years). Difference in the estimated mean change in CAIDE score at 2 years in the intervention compared to the control group was -0.16 (95 %CI -0.31 to 0.00) (p = 0.013), corresponding to a relative dementia risk reduction between 6.04-6.50%. This could be interpreted as a reflection of the prevention potential of the intervention.
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Relationship between Autism Spectrum Disorder and Pesticides: A Systematic Review of Human and Preclinical Models.
Biosca-Brull, J, Pérez-Fernández, C, Mora, S, Carrillo, B, Pinos, H, Conejo, NM, Collado, P, Arias, JL, Martín-Sánchez, F, Sánchez-Santed, F, et al
International journal of environmental research and public health. 2021;18(10)
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Autism spectrum disorder (ASD) is characterized by neurodevelopmental differences in the brain that manifest in divergent social and communicative abilities and stereotyped behaviours. The prevalence of ASD diagnoses has risen sharply in recent years, possibly due to changes in diagnostics criteria, but this does not fully explain the increase. ASD has known genetic predispositions, but vulnerability factors, such as influences from the external environment, are thought to influence the development of the condition. Exposure to pesticides has been of interest here, as both human and rodent studies have demonstrated links between certain pesticides and ASD-like behaviours and diagnosis. This systematic review sought to summarize current knowledge from preclinical and epidemiological studies. It included 45 human and 16 preclinical studies from animal models, focusing on Organophosphates, Organochlorine, Pyrethroid, Neonicotinoid, Carbamate, and exposure to mixed pesticides. The anayisis yielded no clear conclusion as the complexity of influencing factors made the studies hard to summarize. I.e. different types of pesticides, exposure duration, exposure routes and methodologies used in the various studies. Another problem highlighted by the author is that it is impossible to look at pesticide exposure in isolation as it always co-exists with other factors that may be harmful or beneficial for the development of the nervous system. Such as lifestyle, socioeconomics, educational status, ethnicity, gender or genetics. However, evidence suggests that some compounds like Organophosphates, Organochlorine and Pyrethroid appear to have an impact on cognitive and behavioural functions in children following exposure. Yet, further clinical research is needed to draw firm conclusions on pesticide exposures in humans and ASD in general. Overall this review yields a comprehensive overview of various pesticides and their evidence on ASD. Whilst awaiting further research more solid conclusions may be drawn by focusing on specific compounds and their existing research
Abstract
Autism spectrum disorder (ASD) is a complex set of neurodevelopmental pathologies characterized by impoverished social and communicative abilities and stereotyped behaviors. Although its genetic basis is unquestionable, the involvement of environmental factors such as exposure to pesticides has also been proposed. Despite the systematic analyses of this relationship in humans, there are no specific reviews including both human and preclinical models. The present systematic review summarizes, analyzes, and discusses recent advances in preclinical and epidemiological studies. We included 45 human and 16 preclinical studies. These studies focused on Organophosphates (OP), Organochlorine (OC), Pyrethroid (PT), Neonicotinoid (NN), Carbamate (CM), and mixed exposures. Preclinical studies, where the OP Chlorpyrifos (CPF) compound is the one most studied, pointed to an association between gestational exposure and increased ASD-like behaviors, although the data are inconclusive with regard to other ages or pesticides. Studies in humans focused on prenatal exposure to OP and OC agents, and report cognitive and behavioral alterations related to ASD symptomatology. The results of both suggest that gestational exposure to certain OP agents could be linked to the clinical signs of ASD. Future experimental studies should focus on extending the analysis of ASD-like behaviors in preclinical models and include exposure patterns similar to those observed in human studies.
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Prevalence of Depression Symptoms in US Adults Before and During the COVID-19 Pandemic.
Ettman, CK, Abdalla, SM, Cohen, GH, Sampson, L, Vivier, PM, Galea, S
JAMA network open. 2020;3(9):e2019686
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Coronavirus disease 2019 (COVID-19) is an event that can cause physical, emotional, and psychological harm. Thus, the COVID-19 pandemic can itself be considered a traumatic event. The aim of this study was to (a) assess the burden of depression symptoms in the US during COVID-19 using the same measures deployed in representative national surveys before COVID-19 began, and (b) understand the factors associated with depression symptoms during and before COVID-19. This study is a population-representative survey study of US adults. A total of 1441 participants were included in the final sample out of which 619 participants were aged between 18 and 39 years, 723 were men, and 933 were non-Hispanic White. Results showed that: - prevalence of depression symptoms in the US increased more than 3-fold during the COVID-19 pandemic, from 8.5% before COVID-19 to 27.8% during COVID-19. - there was a shift in depression symptoms, with fewer people with no symptoms and more people with more symptoms during COVID-19 than before COVID-19. - lower income groups were at greater risk of depression symptoms than higher income groups. Authors conclude that the potential for the mental health consequences of COVID-19 to be large in scale, to recognize that these effects can be long-lasting, and to consider preventative action to help mitigate its effects.
Abstract
Importance: The coronavirus disease 2019 (COVID-19) pandemic and the policies to contain it have been a near ubiquitous exposure in the US with unknown effects on depression symptoms. Objective: To estimate the prevalence of and risk factors associated with depression symptoms among US adults during vs before the COVID-19 pandemic. Design, Setting, and Participants: This nationally representative survey study used 2 population-based surveys of US adults aged 18 or older. During COVID-19, estimates were derived from the COVID-19 and Life Stressors Impact on Mental Health and Well-being study, conducted from March 31, 2020, to April 13, 2020. Before COVID-19 estimates were derived from the National Health and Nutrition Examination Survey, conducted from 2017 to 2018. Data were analyzed from April 15 to 20, 2020. Exposures: The COVID-19 pandemic and outcomes associated with the measures to mitigate it. Main Outcomes and Measures: Depression symptoms, defined using the Patient Health Questionnaire-9 cutoff of 10 or higher. Categories of depression symptoms were defined as none (score, 0-4), mild (score, 5-9), moderate (score, 10-14), moderately severe (score, 15-19), and severe (score, ≥20). Results: A total of 1470 participants completed the COVID-19 and Life Stressors Impact on Mental Health and Well-being survey (completion rate, 64.3%), and after removing those with missing data, the final during-COVID-19 sample included 1441 participants (619 participants [43.0%] aged 18-39 years; 723 [50.2%] men; 933 [64.7%] non-Hispanic White). The pre-COVID-19 sample included 5065 participants (1704 participants [37.8%] aged 18-39 years; 2588 [51.4%] women; 1790 [62.9%] non-Hispanic White). Depression symptom prevalence was higher in every category during COVID-19 compared with before (mild: 24.6% [95% CI, 21.8%-27.7%] vs 16.2% [95% CI, 15.1%-17.4%]; moderate: 14.8% [95% CI, 12.6%-17.4%] vs 5.7% [95% CI, 4.8%-6.9%]; moderately severe: 7.9% [95% CI, 6.3%-9.8%] vs 2.1% [95% CI, 1.6%-2.8%]; severe: 5.1% [95% CI, 3.8%-6.9%] vs 0.7% [95% CI, 0.5%-0.9%]). Higher risk of depression symptoms during COVID-19 was associated with having lower income (odds ratio, 2.37 [95% CI, 1.26-4.43]), having less than $5000 in savings (odds ratio, 1.52 [95% CI, 1.02-2.26]), and exposure to more stressors (odds ratio, 3.05 [95% CI, 1.95-4.77]). Conclusions and Relevance: These findings suggest that prevalence of depression symptoms in the US was more than 3-fold higher during COVID-19 compared with before the COVID-19 pandemic. Individuals with lower social resources, lower economic resources, and greater exposure to stressors (eg, job loss) reported a greater burden of depression symptoms. Post-COVID-19 plans should account for the probable increase in mental illness to come, particularly among at-risk populations.
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Key Risk Factors Affecting Farmers' Mental Health: A Systematic Review.
Daghagh Yazd, S, Wheeler, SA, Zuo, A
International journal of environmental research and public health. 2019;16(23)
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The prevalence of psychological stress among farmers and farm workers is greater than that of non-farmers. The mental health of farmers can be affected by several factors, including pesticide exposure, financial problems, climate issues, and poor physical health. A total of 167 studies are included in this systematic review incorporating data from the studies conducted in 34 countries, including the United Kingdom, the United States and Australia. There is a need for risk assessment that influences farmers' mental health, according to this systematic review. There is a need for more robust studies to evaluate the impact of climate change and pesticide exposure on farmers' mental health and to determine which strategies can be used to help them find therapies. Using the results of this systematic review, healthcare professionals can raise awareness about mental health issues and assist farmers in identifying the symptoms, allowing them to seek help.
Abstract
Recently, concern has increased globally over farmers' mental health issues. We present a systematic review of the outcomes, locations, study designs, and methods of current studies on farmers' mental health. In particular, this review aims to fill an important gap in understanding of the potential key risk factors affecting farmers' mental health around the world. 167 articles on farmer mental health were included in a final systematic review using a standardized electronic literature search strategy and PRISMA guidelines. The four most-cited influences on farmers' mental health in the reviewed literature respectively were pesticide exposure, financial difficulties, climate variabilities/drought, and poor physical health/past injuries. The majority of studies were from developed countries, most specifically from the United States, Australia, and the United Kingdom. Comparative studies on the mental health of farmers and other occupational workers showed mixed results, with a larger portion identifying that psychological health disturbances were more common in farmers and farm-workers. Knowledge of farmer psychological disorder risk factors and its impacts are essential for reducing the burden of mental illness. Further research will be required on climate change impacts, developing country farmers' mental health, and information on how to reduce help-seeking barriers amongst farmers.
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Circadian Rhythms, Metabolism, and Chrononutrition in Rodents and Humans.
Johnston, JD, Ordovás, JM, Scheer, FA, Turek, FW
Advances in nutrition (Bethesda, Md.). 2016;7(2):399-406
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Chrononutrition is an emerging field that links the body’s metabolism to its endogenous circadian rhythm. It is now recognised that numerous circadian clocks are found within all major tissues and most cells of the body. This complex network of clocks influences a wide range of biological processes including neuronal, endocrine, metabolic and behavioural function. When there is a disruption in a single circadian clock, whole-organism homeostasis can be impacted, potentially resulting in the development of disease. This review explains the potential mechanisms by which circadian clocks influence biological processes through transgenic animal studies, and how they are being translated to human genetics and metabolomics. The principles of chrononutrition are clinically significant factors that should be considered when managing and treating metabolic disease, as well as maintaining health in the general population.
Abstract
Chrononutrition is an emerging discipline that builds on the intimate relation between endogenous circadian (24-h) rhythms and metabolism. Circadian regulation of metabolic function can be observed from the level of intracellular biochemistry to whole-organism physiology and even postprandial responses. Recent work has elucidated the metabolic roles of circadian clocks in key metabolic tissues, including liver, pancreas, white adipose, and skeletal muscle. For example, tissue-specific clock disruption in a single peripheral organ can cause obesity or disruption of whole-organism glucose homeostasis. This review explains mechanistic insights gained from transgenic animal studies and how these data are being translated into the study of human genetics and physiology. The principles of chrononutrition have already been demonstrated to improve human weight loss and are likely to benefit the health of individuals with metabolic disease, as well as of the general population.