Accuracy of Reports of Lifetime Mental and Physical Disorders

Takayanagi, Yoichiro; Spira, Adam P.; Roth, Kimberly B.; Gallo, Joseph J.; Eaton, William W.; Mojtabai, Ramin

doi:10.1001/jamapsychiatry.2013.3579

Cited by 186 publications

(86 citation statements)

References 25 publications

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“…Although we leveraged data on age of onset for MD and T2DM to investigate the bi-directionality of this relationship, because of the cross-sectional nature of the study we had to reply on retrospective recall of age of onset. Cross-sectional recall of MD tends to underestimate lifetime prevalence (46), although the lifetime prevalence of MD in our sample (19%) was consistent with cumulative incidence estimates from US samples of similar age (46). Second, there was no association between MD and T2DM among the older twins; this was unexpected, although it is consistent with a recent report on MD and T2DM (47); this null relationship may in part reflect survival bias (e.g., MD is associated with higher risk of diabetes-related mortality (48,49)).…”

Section: Discussionsupporting

confidence: 78%

Association Between Major Depression and Type 2 Diabetes in Midlife

Mezuk

Heh

Prom‐Wormley

et al. 2015

Psychosomatic Medicine

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Objective Cohort studies suggest that the relationship between major depression (MD) and type 2 diabetes (T2DM) is bi-directional. However, this association may be confounded by shared genetic or environmental factors. The objective of this study was to use a twin design to investigate the association between MD andT2DM. Methods Data come from the Screening Across the Lifespan Twin Study, a sample of monozygotic and dizygotic twins aged ≥40 sampled from the Swedish Twin Registry (N=37,043). MD was assessed using the Composite International Diagnostic Inventory. Structural equation twin modeling and Cox proportional hazards modeling were used to assess the relationship between MD and T2DM. Results Approximately 19% of respondents had a history of MD and 5% had a history of T2DM. MD was associated with 32% increased likelihood of T2DM (95% Confidence Interval: 1.00 – 1.80) among twins aged 40 – 55 even after accounting for genetic risk, but was not associated with T2DM among twins >55 years. T2DM was associated with 33% increased likelihood of MD (95% CI: 1.02 – 1.72) among younger, but not older twins. Cholesky decomposition twin modeling indicated that common unique environmental factors contribute to the association between MD and T2DM. Conclusions Environmental factors that are unique to individuals (e.g., not shared within families), but common to both MD and T2DM contribute to their co-occurrence in mid-life. However, we cannot exclude the possibility of bi-directional causation as an alternate explanation. It is likely that multiple processes are operating to affect the relation between psychological and medical conditions in mid-life.

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Section: Discussionsupporting

confidence: 78%

Association Between Major Depression and Type 2 Diabetes in Midlife

Mezuk

Heh

Prom‐Wormley

et al. 2015

Psychosomatic Medicine

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“…Self-report mental health surveys may underestimate the lifetime prevalence of mental health conditions (Takayanagi et al 2014), including ADHD (Kooij et al 2008), bipolar spectrum conditions (Merikangas et al 2007), depression (Hunt et al 2003), andalcoholism (O'Farrell andMaisto 1987). A related concern is that the instrument used to assess mental health in this study has not been validated with this population.…”

Section: Self-report Measuresmentioning

confidence: 96%

The prevalence and co-occurrence of psychiatric conditions among entrepreneurs and their families

et al. 2018

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Psychiatric conditions and sub-threshold psychiatric temperaments may influence entrepreneurs' affect, cognition, energy, motivation, circadian rhythms, activity levels, self-concept, creativity, and interpersonal behaviors in ways that influence business outcomes. We used a self-report survey to examine the prevalence and co-occurrence of five psychiatric conditions among 242 entrepreneurs and 93 comparison participants. Mental health differences directly or indirectly affected 72% of the entrepreneurs in this sample, including those with a personal mental health history (49%) and family mental health history among the asymptomatic entrepreneurs (23%). Entrepreneurs reported experiencing more depression (30%), ADHD (29%), substance use (12%), and bipolar disorder (11%) than comparison participants. Furthermore, 32% of the entrepreneurs reported having two or more mental health conditions, while 18% reported having three or more mental health conditions. Asymptomatic entrepreneurs (having no mental health issues) with asymptomatic families constituted only 24% of the entrepreneur participants. Entrepreneurs' psychiatric issues can affect their functioning and that of their ventures. Therefore, integrating knowledge about psychiatric conditions with research on personality traits can broaden the understanding of how mental healthrelated traits, states, and family history can influence entrepreneurial outcomes. We discuss methodological limitations as well as implications of our findings for entrepreneurship research and practice.

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“…Data from a range of studies show that between 30-50% of all adults in the U.S. experience mental illness at some point in their lives. 2,24,25 Additionally, 20.2 million (8.4% of adults) have a substance use disorder and 7.9 million have both mental illness and substance use disorders. 26 The societal impact of poor mental health for the U.S. was estimated to exceed $210 billion in 2010.…”

Section: The Health and Productivity Burden Of Mental Illnessmentioning

confidence: 99%

Mental Health in the Workplace

Goetzel

Roemer

Holingue

et al. 2018

Journal of Occupational &Amp; Environmental Medicine

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Objective To declare a call to action to improve mental health in the workplace. Methods We convened a public health summit and assembled an Advisory Council consisting of experts in the field of occupational health and safety, workplace wellness, and public policy to offer recommendations for action steps to improve health and well-being of workers. Results The Advisory Council narrowed the list of ideas to four priority projects. Conclusions The recommendations for action include developing a Mental Health in the Workplace 1) “How to” Guide, 2) Scorecard, 3) Recognition Program, and 4) Executive Training.

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Accuracy of Reports of Lifetime Mental and Physical Disorders

Cited by 186 publications

References 25 publications

Association Between Major Depression and Type 2 Diabetes in Midlife

Association Between Major Depression and Type 2 Diabetes in Midlife

The prevalence and co-occurrence of psychiatric conditions among entrepreneurs and their families

Mental Health in the Workplace

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