Sentences with phrase «data on mood»

These homework assignments focus on collecting data on mood, thinking, and activity levels and on practicing new coping skills to improve mood, thinking, and behaviors (e.g., relaxation skills, social skills, cognitive restructuring, communication, and problem - solving).

This study is the first to use an automated information extraction method to acquire data on mood instability from electronic health records.

Not exact matches

«Automated, accurate, and cheap personality assessment tools could affect society in many ways: marketing messages could be tailored to users» personalities; recruiters could better match candidates with jobs based on their personality; products and services could adjust their behavior to best match their users» characters and changing moods; and scientists could collect personality data without burdening participants with lengthy questionnaires.

This week our Big Data Barometer, focusing on the mood around the French elections, shows a further decline although tentative signs of improvement can be seen.

A Comment on the Breadth of Mood Causality with Respect to Pro- and Anti-Corporate Sentiment Although the data available for this report pertain to government actions, results of social mood change with respect to the treatment of corporations are not confined to acts of the state.

In addition, the negative impact on the mood of investors had weak data on orders...

In the first study to assess the relationship between structural and functional MRI data in bipolar disorder, Dr. Shantanu Joshi and his colleagues at the University of California, Los Angeles focused on brain regions that play a role in mood dysregulation in the disorder.

At Week 8, those in the control group reported a greater decrease in the effort they were willing to put into staying on the diet than those who received the Support app Preliminary data suggests that the MRP Support app has the potential to increase positive mood and maintain motivation during a weight loss programme.

The new study, published online January 24 in Psychological Science, teased out the answer by examining 30 years of data on thousands of Americans, including psychological measures of mood and well - being, reports of job and relationship success, and objective measures of health.

«These data argue that physicians need better communication with patients on how to take their medications from day to day to minimize fluctuations based on mood or way of thinking.»

The detection of mood states will improve over time as the software gets trained based on more conversations and data from more patients.

Data is mostly created by a self - selecting group of bloggers, tweeters or social network fiends — and people may alter the extent of their online interactions depending on mood.

For the study, Baron performed an analysis of data from a 2010 clinical trial (by the same group of Northwestern researchers on the current paper) that demonstrated the ability of aerobic exercise to improve sleep, mood and vitality over a 16 - week period in middle - age - to - older adults with insomnia.

After screening survey data on more than 46,000 people, researchers found that 8 percent had depression, but only a third were being treated for the mood disorder.

Data has been mixed, with some studies showing high amounts of long term sugar consumption having no effect on mood, whereas others show sugar and carbohydrate consumption having quite a robust effect on aggression and mood (3).

While student - achievement data run counter to rising public optimism, the change in public thinking corresponds with the new mood that emerged on Capitol Hill in 2015 when Congress passed the Every Student Succeeds Act (ESSA), which stripped the federal government of much of its authority to direct school reforms at the local level.

The newest challenge that edTech companies are working on is digital education tools that collect data about the students» state of mind and mood, and then customize the learning experience based on that.

The driver has the liberty to configure the three displays on - board in «Classic», «Sporty» and «Progressive» styles, all according to mood and will, also choosing the preferred data to be displayed.

The 42 - inch high - definition plasma TV with DVD player, high - speed data jacks, Bose ® radios on the nightstands, in - room safes, full - length mirrors, and motorized drapes add a touch of modern elegance, sparing no expense in the amenities department, while the in - bedroom Jacuzzi ® tub and fireplace allow you to create just the right mood for an indulgent yet elegant night in.

Elgato has updated its HomeKit - compatible Eve app with improved third - party accessory support and new features, including new lighting controls.The Eve family of HomeKit accessories gathers data on air quality, temperature, humidity, air pressure, energy consumption and more, while the Eve app is where data from each Eve product is aggregated and where accessories can be grouped and organized by room for different Siri commands.One big change to version 2.6 of the Eve app is the introduction of a new lighting control interface that allows users to set lamp and light strip colors more easily, and makes stored favorites for particular moods or occasions more accessible.

Users can offer edits on a variety of data categories, including explicitness, genre, aliases, languages, mood, tags, artist roles and external URLs.

... on a different day... when they are in a better mood... when you have new data to present... after you've proven your commitment to them... when circumstances have changed... when you've learned how to close better... when you've established better rapport... when they trust you more... when you have paid your dues... when the economy is better... and so on.

In such case, there is a high risk of reverse causality whereby participants» depressive mood may affect their perceptions of the environmental exposures of interest (eg, neighbourhood safety from crime).21 Environmental data collected using more objective measures of the neighbourhood environment, including geographic information systems (GIS) 22 and environmental audits conducted by independent auditors, 23 are likely to provide more robust estimates of the potential causal effects of neighbourhood environmental attributes on residents» depressive symptoms.

In mid 2010, we collated data on all adult Indigenous patients in the region who where either symptomatic or in remission and receiving treatment for a psychotic disorder falling within the following International Classification of Diseases, 10th revision groups: organic - related (F06); substance use - related (F10 — 19); schizophrenia - related (F20 — 22); acute and transient psychoses (F23); and mood disorder - related (F25, F30 — 33).

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).

The initial mood of each patient was assessed by a clinician, with changes in mood monitored by self - reported questionnaires; the mood states were then used to determine the accuracy of the classifiers, which use HRV to predict mood, with an accuracy of around 90 %.28 No data were collected on healthy controls (or another clinical group), making it difficult to establish the specificity of the findings to BD.

Analyses were conducted using aggregate published data on allelic frequency of 5 - HTTLPR, cultural values of individualism — collectivism and global prevalence of anxiety and mood disorders, which refers to bipolar disorder, dysthymia and major depressive disorder defined by DSM IV / CIDI criteria in the 2008 World Health Organization (WHO) survey, with nation as the cultural unit of analysis.

This pattern of results is consistent with the observation that mood stabilizers are more effective in controlling manic than depressive symptoms.79 - 81 However, we can not conclude that medical adherence was causally related to lower manic symptoms in the FFT group, because data on adherence and mood symptoms were collected during retrospective intervals.

Although we know of no previous attempt to estimate the lifetime prevalence of DSM - IV oppositional - defiant disorder, conduct disorder, or attention - deficit / hyperactivity disorder in a nationally representative sample of adults, the NCS - R estimates are in the range reported in epidemiological surveys of adolescents.26, 27 The NCS - R prevalence estimate for intermittent explosive disorder is also consistent with the scant data on the prevalence of that disorder.28 Given that previous epidemiological surveys excluded these impulse - control disorders, it is striking that their combined lifetime prevalence is higher than that for either mood disorders or substance use disorders.

The data for the current research come from a larger eye - tracking study that looked at the effect of mood on age differences in gaze preferences (see Isaacowitz et al., 2008).

Similarly, results regarding the moderating effects of unsupportive interactions on the daily stress — positive mood relationship were not fully supported by the data.