Sentences with phrase «more negative mood»

For some people that vulnerability seemed to trigger a resurgence of ways of looking at themselves — judging, evaluating, being very harsh and critical — that could bring back a more negative mood and other symptoms.

Researchers at Yale University and the University of British Columbia found that women with high levels of «cognitive dietary restraint» (putting a lot of mental energy into restricting certain foods) had significantly higher cortisol levels, bigger appetites, increased consumption of sweets, more negative moods, and higher body - fat levels — even despite getting more exercise.

When monitoring couples as they have a conversation about relationship conflicts, Gottman has found that straight couples feel more and more negative moods and emotions, like stress and anger, as a conversation went on, whereas gay couples did not.

Not exact matches

Overall, the negative - mood group was better at detecting deception than the neutral or positive groups, correctly identifying the liars more often,» Newman writes of some of the relevant research.

Another position, more philosophical perhaps, and indicating a more resigned mood, is the familiar one taken by the negative theologians: God is audessus de mêlée, a mystery beyond our simple categories, above human censure as he is above human praise.

Breastfeeding moms have more stabilised moods and are less likely to experience negative emotion due to this.

Mothers who breastfeed have been found to report lower levels of perceived stress and negative mood, higher levels of maternal attachment, and tend to perceive their infants more positively than mothers who formula - feed.9, 19 - 21 There is evidence to suggest that breastfeeding mothers may also spend more time in emotional care and be more sensitive to infant emotional distress cues than bottle - feeding mothers.22, 23 Relatedly, a small fMRI study of 17 mothers in the first postpartum month, found that breastfeeding mothers showed greater activation in brain areas involved in empathy and bonding than formula - feeding mothers when listening to their own infant's cry.24 These brain areas included the superior frontal gyrus, insula, precuneus, striatum and amygdala.

Tory activists have long wanted the leadership to be much more negative about Labour but Tory strategists were anxious not to get ahead of the public mood.

Previous research in North Carolina, where the growth of hog farms has been so staggering in the last 25 years that now there are more hogs than people, found that farm odor caused stress and negative mood states in neighboring residents, according to a 2009 study in the American Journal of Public Health.

Now, this is a bit of a generalization, but across a number of studies, we know that women generally smoked to regulate negative mood and stress, more so than men.

[For more on how a negative mood boosts cognition, see «Depression's Evolutionary Roots,» by Paul W. Andrews and J. Anderson Thomson; Scientific American Mind, January / February 2010.]

But participants who had been put in a negative mood spent significantly more time than others browsing the profiles of people who had been rated as unsuccessful and unattractive.

Also, weakened connectivity during abstinence was linked with increases in smoking urges, negative mood, and withdrawal symptoms, suggesting that this weaker internetwork connectivity may make it more difficult for people to quit.

They found that positive thoughts like «I will excel in whatever I'm doing» or negative like «I'm going to have a breakdown» influence mood in a way in which a more neutral thought such as «I have a lot on and need to wind down» does not.

While negative experience or mood disrupt our capacity to recognize, recall, or reinforce neural connections, positive events and exposure make us more attentive, cognizant, and productive.

At the opposite end of the scale, overdoing it on carbs, even the good ones, ends up having a negative impact on mood, weight, energy, digestion, immunity, and more.

In fact, the first symptom I get of a gut bacterial imbalance is my mood starts to get negative (without a reason) and stress gets to me more than usual.

Science even agrees that burning herbs releases negative ions into the air, resulting in a more positive mood.

But more importantly it's an outlet for design to be used as a positive counter to the negative mood swing our country is currently experiencing.

Ultimately, junior should calm down more quickly, have a better handle on his moods, as well as have fewer negative emotions.

The hypotheses are (1) that perceived stress, anxiety and depression will significantly decrease at course completion, (2) that the decrease will be maintained at follow - up; that is, the size of the change at follow - up will remain significantly different from pretest levels, (3) that participants who practice more will have a larger decrease in negative mood and (4) that the decrease will be comparable to other types of intervention.

COPE mothers were expected to experience less negative mood and to support their children more effectively during and after hospitalization, compared with mothers who received the control program.

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 impulsivity).

It is even more important when children are depressed, as they may have a tendency to screen out positives and tune into negative feedback about themselves which can maintain their low mood.

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.

As irritable mood is characterized by excessive reactivity to negative emotional stimuli, irritable individuals are more likely to be angry or aggressive in response to provocation [19].

Younger adults, on the other hand, displayed mood - congruent attentional patterns, viewing negative faces more when induced into a negative mood (Isaacowitz, Toner, Goren, & Wilson, 2008).

As shown in Figure 2, younger adults who initially regulated their mood began to report more negative affect as time progressed.

For example, relative to nonusers, Tinder users were more likely to compare themselves to others, feel pressures to look a certain way and experience negative moods.

Moreover, rapid young regulators who initially reported being in a positive mood started to feel more negative as time passed.

Figure 9.15 shows that positive behaviour was more likely to be displayed during the interview than negative behaviour, and that where negative mood was in evidence, this was generally confined to a small number of brief displays.

Cross-sectional and prospective multilevel analyses demonstrated that increases in forgiveness (measured as fluctuations in individuals» avoidance, revenge, and benevolence motivations toward their transgressors) were related to within - persons increases in psychological well - being (measured as more satisfaction with life, more positive mood, less negative mood, and fewer physical symptoms).

In addition to the increased stress related to goals of identity development, the onset of puberty, and increasing peer influences [26, 27], adolescents are more vulnerable to elevated emotionality and increased negative affect, and experience more labile and dysregulated mood compared to adults [21, 28, 29 • •, 30].

Indeed, greater intra-individual fluctuations in negative affect, conceptualized as dysregulated mood, predict increased risk for adolescent substance use at the daily level [31] and also predict growth in drug use over time [32], as well as more significant symptoms of impairment [33].

However, high - and low - hostile behavior subjects had a different pattern of response to the spousal interactions as reflected in their PANAS negative mood ratings, after controlling for visit; high - hostile subjects» moods were more negative after each of the interactions, while low - hostile subjects» moods were less negative (F1, 40 = 5.24; P =.03).

Higher daily problems predicted lower happiness and higher negative affect, indicating that the more daily problems a young person experienced, the poorer their average daily mood was.

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.

More support services and elevated levels of daily stress predicted more daily negative mMore support services and elevated levels of daily stress predicted more daily negative mmore daily negative mood.

Greater daily negative mood was associated with less emotional support and more parenting stress, unsupportive interactions, and disruptive child behaviors.

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.

Higher levels of disruptive child behaviors predicted more daily negative mood (β = 0.05, p <.01), but the association between disruptive behaviors and daily positive mood was not significant.

Furthermore, the relationship between disruptive child behaviors and negative mood was moderated by daily parenting stress; on more stressful days, higher levels of disruptive behaviors predicted higher levels of daily negative mood.

Indeed, contrary to predictions, support services moderated the stress — negative mood relationship such that more support services and greater daily stress predicted increased daily negative mood.

For example, Kleiboer and colleagues (2007) found caregivers for individuals with multiple sclerosis (MS) who received more daily negative interactions experienced higher levels of daily negative mood.

The previously described multilevel models were used to test our hypothesis that daily received instrumental and emotional support would predict more daily positive mood and less daily negative mood, and that the number of support services received would predict lower levels of daily negative mood.

Similarly, days characterized by more unsupportive interactions were related to higher levels of daily negative mood (β = 2.79, p <.0001).