• Social connection is the strongest prote

    From ScienceDaily@1337:3/111 to All on Fri Aug 14 21:30:26 2020
    Social connection is the strongest protective factor for depression


    Date:
    August 14, 2020
    Source:
    Massachusetts General Hospital
    Summary:
    Researchers have identified a set of modifiable factors from
    a field of over 100 that could represent valuable targets for
    preventing depression in adults. The team named social connection
    as the strongest protective factor for depression, and suggested
    that reducing sedentary activities such as TV watching and daytime
    napping could also help lower the risk of depression.



    FULL STORY ========================================================================== Researchers from Massachusetts General Hospital (MGH) have identified a
    set of modifiable factors from a field of over 100 that could represent valuable targets for preventing depression in adults. In a study published
    in The American Journal of Psychiatry, the team named social connection
    as the strongest protective factor for depression, and suggested that
    reducing sedentary activities such as TV watching and daytime napping
    could also help lower the risk of depression.


    ========================================================================== "Depression is the leading cause of disability worldwide, but until now researchers have focused on only a handful of risk and protective factors, often in just one or two domains," says Karmel Choi, PhD, investigator in
    the Department of Psychiatry and the Harvard T.H. Chan School of Public
    Health, and lead author of the paper. "Our study provides the most comprehensive picture to date of modifiable factors that could impact depression risk." To that end, researchers took a two-stage approach. The first stage drew on a database of over 100,000 participants in the UK
    Biobank -- a world-renowned cohort study of adults -- to systematically
    scan a wide range of modifiable factors that might be associated with the
    risk of developing depression, including social interaction, media use,
    sleep patterns, diet, physical activity, and environmental exposures. This method, known as an exposure-wide association scan (ExWAS), is analogous
    to genome-wide association studies (GWAS) that have been widely used to identify genetic risk factors for disease.

    The second stage took the strongest modifiable candidates from ExWAS and applied a technique called Mendelian randomization (MR) to investigate
    which factors may have a causal relationship to depression risk. MR is
    a statistical method that treats genetic variation between people as a
    kind of natural experiment to determine whether an association is likely
    to reflect causation rather than just correlation.

    This two-stage approach allowed the MGH researchers to narrow the
    field to a smaller set of promising and potentially causal targets
    for depression. "Far and away the most prominent of these factors
    was frequency of confiding in others, but also visits with family and
    friends, all of which highlighted the important protective effect of
    social connection and social cohesion," points out Jordan Smoller, MD,
    ScD associate chief for research in the MGH Department of Psychiatry,
    and senior author of the study. "These factors are more relevant now
    than ever at a time of social distancing and separation from friends and family." The protective effects of social connection were present even
    for individuals who were at higher risk for depression as a result of
    genetic vulnerability or early life trauma.

    On the other hand, factors associated with depression risk included time
    spent watching TV, though the authors note that additional research is
    needed to determine if that risk was due to media exposure per se or
    whether time in front of the TV was a proxy for being sedentary. Perhaps
    more surprising, the tendency for daytime napping and regular use of multivitamins appeared to be associated with depression risk, though
    more research is needed to determine how these might contribute.

    The MGH study demonstrates an important new approach for evaluating a
    wide range of modifiable factors, and using this evidence to prioritize
    targets for preventive interventions for depression. "Depression takes an enormous toll on individuals, families, and society, yet we still know
    very little about how to prevent it," says Smoller. "We've shown that
    it's now possible to address these questions of broad public health significance through a large-scale, data-based approach that wasn't
    available even a few years ago. We hope this work will motivate further
    efforts to develop actionable strategies for preventing depression." The study's two-stage approach could also be used to inform the prevention
    of other health conditions.


    ========================================================================== Story Source: Materials provided by Massachusetts_General_Hospital. Note: Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Karmel W. Choi, Murray B. Stein, Kristen M. Nishimi, Tian Ge,
    Jonathan
    R.I. Coleman, Chia-Yen Chen, Andrew Ratanatharathorn, Amanda
    B. Zheutlin, Erin C. Dunn, Gerome Breen, Karestan C. Koenen,
    Jordan W. Smoller. An Exposure-Wide and Mendelian Randomization
    Approach to Identifying Modifiable Factors for the Prevention of
    Depression. American Journal of Psychiatry, 2020; appi.ajp.2020.1
    DOI: 10.1176/appi.ajp.2020.19111158 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2020/08/200814131007.htm

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