Sentences with phrase «negative social mood»

The waxing negative social mood generated negative social action.

Not exact matches

Besides being the greatest creative aphrodisiac, sleep also affects our every waking moment, dictates our social rhythm, and even mediates our negative moods.
Sinus problems, seasonal allergies, skin rashes and eczema, «a bad - back», muscle and joint aches, chronic fatigue, low energy, a low or anxious mood, negative thinking, social withdrawal, poor sleep, poor focus and concentration, all these can be directly linked to something you are currently ingesting without realizing the effect it is having on your physical or mental health.
«Perhaps this circuit represents a pathway through which disruptions in social relationships contribute to negative mood states and depression.»
Other indicators include a decrease in volume of tweets, a shrinking in the moms» social networks, and use of words indicating negative mood.
Additionally, participants reported significant improvement in their ability to engage in social and work activities as well as a reduction in anxiety, depression, and overall negative mood.
PTSD is a severe psychiatric illness characterised by four core symptom clusters: re-experiencing, avoidance, negative cognition and mood and hyperarousal.1 With an estimated lifetime prevalence in community samples of up to 8 %, PTSD results in a great deal of personal suffering and escalating social and economic costs.2 Unfortunately, current evidence - based treatments for PTSD leave a high percentage with a significant symptom burden, highlighting the urgent need for novel treatments.
Many of the scales demonstrated weak psychometrics in at least one of the following ways: (a) lack of psychometric data [i.e., reliability and / or validity; e.g., HFQ, MASC, PBS, Social Adjustment Scale - Self - Report (SAS - SR) and all perceived self - esteem and self - concept scales], (b) items that fall on more than one subscale (e.g., CBCL - 1991 version), (c) low alpha coefficients (e.g., below.60) for some subscales, which calls into question the utility of using these subscales in research and clinical work (e.g., HFQ, MMPI - A, CBCL - 1991 version, BASC, PSPCSAYC), (d) high correlations between subscales (e.g., PANAS - C), (e) lack of clarity regarding clinically - relevant cut - off scores, yielding high false positive and false negative rates (e.g., CES - D, CDI) and an inability to distinguish between minor (i.e., subclinical) and major (i.e., clinical) «cases» of a disorder (e.g., depression; CDI, BDI), (f) lack of correspondence between items and DSM criteria (e.g., CBCL - 1991 version, CDI, BDI, CES - D, (g) a factor structure that lacks clarity across studies (e.g., PSPCSAYC, CASI; although the factor structure is often difficult to assess in studies of pediatric populations, given the small sample sizes), (h) low inter-rater reliability for interview and observational methods (e.g., CGAS), (i) low correlations between respondents such as child, parent, teacher [e.g., BASC, PSPCSAYC, CSI, FSSC - R, SCARED, Connors Ratings Scales - Revised (CRS - R)-RSB-, (j) the inclusion of somatic or physical symptom items on mental health subscales (e.g., CBCL), which is a problem when conducting studies of children with pediatric physical conditions because physical symptoms may be a feature of the condition rather than an indicator of a mental health problem, (k) high correlations with measures of social desirability, which is particularly problematic for the self - related rating scales and for child - report scales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsiSocial Adjustment Scale - Self - Report (SAS - SR) and all perceived self - esteem and self - concept scales], (b) items that fall on more than one subscale (e.g., CBCL - 1991 version), (c) low alpha coefficients (e.g., below.60) for some subscales, which calls into question the utility of using these subscales in research and clinical work (e.g., HFQ, MMPI - A, CBCL - 1991 version, BASC, PSPCSAYC), (d) high correlations between subscales (e.g., PANAS - C), (e) lack of clarity regarding clinically - relevant cut - off scores, yielding high false positive and false negative rates (e.g., CES - D, CDI) and an inability to distinguish between minor (i.e., subclinical) and major (i.e., clinical) «cases» of a disorder (e.g., depression; CDI, BDI), (f) lack of correspondence between items and DSM criteria (e.g., CBCL - 1991 version, CDI, BDI, CES - D, (g) a factor structure that lacks clarity across studies (e.g., PSPCSAYC, CASI; although the factor structure is often difficult to assess in studies of pediatric populations, given the small sample sizes), (h) low inter-rater reliability for interview and observational methods (e.g., CGAS), (i) low correlations between respondents such as child, parent, teacher [e.g., BASC, PSPCSAYC, CSI, FSSC - R, SCARED, Connors Ratings Scales - Revised (CRS - R)-RSB-, (j) the inclusion of somatic or physical symptom items on mental health subscales (e.g., CBCL), which is a problem when conducting studies of children with pediatric physical conditions because physical symptoms may be a feature of the condition rather than an indicator of a mental health problem, (k) high correlations with measures of social desirability, which is particularly problematic for the self - related rating scales and for child - report scales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsisocial desirability, which is particularly problematic for the self - related rating scales and for child - report scales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsivity).
It is based on the hypothesis that inaccurate and unhelpful beliefs, ineffective coping behaviour, negative mood states, social problems, and pathophysiological processes all interact to perpetuate the illness.8 9 Treatment aims at helping patients to re-evaluate their understanding of the illness and to adopt more effective coping behaviours.7 8 9 An early uncontrolled evaluation of this type of treatment produced promising results in many patients but was unacceptable to some.10 Two subsequent controlled trials found cognitive behaviour therapy to offer no benefit over non-specific management.11 12 However, the form of cognitive behaviour therapy evaluated may have been inadequate.
Characteristics and behaviours associated with emotional disturbance and / or behavioural problems may include: aggressive or anti-social behaviour; inattentiveness; distractibility and impulsiveness; impaired social interactions; a general inability to cope with the routine of daily tasks; obsessive and repetitive behaviours; attention - seeking behaviours such as negative interactions or a poor attitude towards work, peers or teachers; and depressed behaviours such as withdrawal, anxiety and mood swings.
Caplan (2010) proposed a model of «problematic Internet use», identifying several specific cognitive and behavioral constructs associated with negative outcomes of the Internet use such as preference for online social interaction, mood alteration, cognitive preoccupation or compulsive behavior.
We found good internal consistencies for all the dimensions: preference for online social interaction (α =.84), mood regulation (α =.83), cognitive preoccupation (α =.80), compulsive use (α =.83) and negative outcomes (α =.83).
[jounal] Mearns, J. / 1991 / Coping with a breakup: Negative mood regulation expectancies and depression following the end of a romantic relationship / Journal of Personality and Social Psychology 60: 327 ~ 334
Nicotine has demonstrable psychoactive benefits in the regulation of affect50; therefore, persons exposed to adverse childhood experiences may benefit from using nicotine to regulate their mood.30, 50,51 For such persons, attempts to quit may remove nicotine as their pharmacological coping device for the negative emotional, neurobiological, and social effects of adverse childhood experiences.
In the current study, statistical analyses evaluated the main and moderating effects of variables measured repeatedly at the within - person level (stress, social support, and unsupportive interactions) and variables measured at the between - person level (disruptive child behaviors, and support services) on daily positive and negative mood.
Based on the existing literature, it was predicted that higher levels of emotional and instrumental social support and more support services would predict higher levels of daily positive mood and less daily negative mood.
Similarly, unsupportive social interactions did not moderate the stress — negative mood relationship but did moderate the stress — positive mood relationship (β = 0.46, p <.05).
Moderating predictions were more tentative; it was predicted that instrumental social support and support services would buffer the relationship between daily parenting stress and daily negative mood, whereas unsupportive interactions and disruptive child behaviors would intensify the effect of daily parenting stress on daily negative mood.
To advance our understanding of contextual processes such as received social support and unsupportive interactions, it appears beneficial to use a research design that repeatedly assesses daily occurring events (e.g., stress, social support) and outcomes (i.e., negative and positive mood) over time, coupled with a statistical approach that permits the evaluation of within - person relations.
Furthermore, it is possible that received social support influences momentary or daily affective states, such as negative and positive mood, and the accumulation of these daily states predicts psychological distress and well - being (Rook, 2001).
Objective To examine the extent to which social support, unsupportive interactions, support services, and disruptive child behaviors predict daily positive and negative mood in parents of children with autism.
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