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Emotional Adjustment

Emotional Adjsutment is the process of adapting to changes in emotional states or responding to emotional challenges.
This may involve developing coping strategies, regulating emotions, and adjusting behaviors to maintain psychological well-being.
Effective emotional adjustment can help individuals navigate life transitions, manage stress, and improve overall mental health.
The PubCompare.ai platform can assist researchers in identifying optimal protocols and products to study emotional adjustment, enhancing the reproducibility and accuracy of their findings.

Most cited protocols related to «Emotional Adjustment»

1
Assessing Quality of Life in Cancer Patients
Patients were assessed using a battery of instruments. Two physician rated QOL questionnaires, the ECOG Performance Status Rating and the Spitzer's Quality of Life-Index doctor version (QLI-d) were completed either by the treating physician or oncologist. Patient self-reported questionnaires included the Functional Assessment of Cancer Therapy-General (FACT-G) Spanish Version 4, the Spitzer's Quality of Life-Index patient version (QLI-p), the Profile of Mood States, Short Form (POMS-SF) and the Marlowe-Crowne Social Desirability Scale (MCSDS).
ECOG Performance Status Rating (ECOG PSR) is a five-point scale [8 ] ranging from 0 (fully ambulatory) to 4 (not being able to leave bed).
The Quality of Life Index (QL-I) [9 (link)] is a five-item questionnaire where each one of them explores a dimension or domain of quality of life: health, activity, daily living, support and outlook. Every item has three response categories indicating different levels of functional impairment. Although it was originally developed as an observer rated scale (QLI-d), it can also be used as a patient rated scale (QLI-p). For the purpose of the study, the QL-I was translated into Spanish following a forward and backward translation procedure, carried out by an English native speaking linguist and a native Spanish-speaking English translator. The Spanish versions of the two QLI questionnaires are available from the authors upon request.
The Functional Assessment of Cancer Therapy-General Questionnaire (FACT-G) Spanish Version 4[2 (link)] is a widely used QOL instrument. It comprises 27 questions that assess four primary dimensions of QOL: physical (PWB; 7 items), social and family (SFWB; 7 items), emotional (EWB; 6 items), and functional well-being (FWB; 7 items). It uses 5-point Likert-type response categories ranging from 0 = 'not at all' to 4 = 'very much'. The total FACT-G score is the summation of the 4 subscale scores and ranges from 0 to 108. Data from a previous study on the FACT-G Spanish version 2[6 (link)] conducted among Uruguayan cancer patients suggested that its reliability was acceptable to good in all subscales except for the EWB scale. An important question raised by these results was whether these subscales showed sufficient internal consistency to justify their use across cultures and whether there was equivalence of the Spanish EWB to its English counterpart. Ever since, developers of the FACT-G revised the questionnaire into its most recent version 4 [2 (link)]. Major changes were the inclusion of an additional item ("I worry my condition will get worse" – "Me preocupa que mi enfermedad empeore") in the EWB subscale, the removal of the two-item "Relationship with the Doctor" subscale and the rewording of 12 Spanish items to improve their readability.
The Profile of Mood States, Short Form (POMS-SF)[10 ] is a widely used scale measuring subjective mood states, such as anxiety, tension, vigor, depression, fatigue and confusion. The POMS-SF is a valid measure of affective states and psychological adjustment in cancer patients and is available in Spanish. A Total Mood Disturbance score (POMS TMD) may be obtained by summing the five scores of Tension, Depression, Anxiety, Fatigue and Confusion subscales and substracting Vigor from these scores. Only patients with a 6th grade or higher level of reading abilities were included in the analysis, according to the instrument developers' instructions.
The Marlowe-Crowne Social Desirability Scale (MCSDS) [11 (link)]. The 10 items short form of the MCSDS provides a measure of the degree to which participants endorse socially desirable characteristics. A validated Spanish version of the questionnaire [12 ] was completed by the study participants.
Demographic, disease and treatment information was collected from patients, the treating physician and verified by the research assistants with the participants' medical record.
Dapueto J.J., Francolino C., Servente L., Chang C.H., Gotta I., Levin R, & Abreu M.D. (2003). Evaluation of the Functional Assessment of Cancer Therapy-General (FACT-G) Spanish Version 4 in South America: Classic Psychometric and Item Response Theory Analyses. Health and Quality of Life Outcomes, 1, 32.
Publication 2003
Anxiety BAD protein, human Electrocorticography Emotional Adjustment Emotions Fatigue Hispanic or Latino Malignant Neoplasms Mood Oncologists Patients Physical Examination Physicians
2
MHADRO: Assessing Psychosocial Issues in Oncology Patients
Data for the present paper were collected through an NIH-funded Phase II randomized control trial exploring the psychosocial effects of cancer and cancer treatment. The Mental Health Assessment and Dynamic Referral for Oncology (MHADRO) is a patient-completed computerized psychosocial assessment designed to identify and address physical, psychological, and social issues faced by oncology patients (Boudreaux et al., 2011 (link)). The MHADRO required participants to complete a baseline assessment during a chemotherapy or routine oncology appointment on a touch-screen tablet. Patients were recruited at all points during the cancer trajectory (i.e., diagnosis, on treatment, survivorship). Patients were approached for enrollment during a chemotherapy infusion or an ambulatory care appointment with an oncologist. Oncologists helped a research assistant to identify eligible participants. Each patient was given information about the study’s purpose and participant requirements. They were informed that participation would not delay their care, and that they could withdraw from the study or terminate the assessment at any time. Individuals with nausea or pain which precluded enrollment were re-approached during later appointments. Once a participant signed the informed consent, the research staff entered the individuals’ identifying information into the MHADRO system to begin the assessment. The participant was randomly assigned to one of two study conditions. Participants in the intervention group received three printed reports including details of their psychological adjustment: one was provided to the patient, one was shared with their oncologist, and one was placed in the electronic medical record. Participants in the intervention group who scored high in distress automatically received the contact information for two appropriate mental health providers based on their zip code and insurance carrier as a part of their printed report. In addition, these participants were given the option to choose to automatically send a dynamic referral for an appointment with one of these providers at the completion of the MHADRO assessment. Participants in the control group completed the same MHADRO assessment, and then received standard care for psychosocial issues. Participants were recruited, enrolled into the study, and then were randomized to the intervention or control group before completing the assessment. The consent form signed by all participants was explicit in that patients would be enrolled and then randomized to either intervention or control condition. Randomization into the intervention or control group was completed by an internal random number generator programmed into the software. The research assistant was blind to study assignment until the patient completed the assessment, whereupon it was necessary to determine the participant’s group assignment to carry out the rest of the protocol (i.e., disseminating the patient reports). Follow-up assessments will be completed at 2, 6, and 12 months from baseline. The University of Massachusetts Medical School Institutional Review Board approved all procedures. The present investigation utilizes baseline data from the parent RCT. All of the longitudinal data will be used for future publications. The full methodology has been recently published (O’Hea et al., 2013 ).
Cutillo A., O’Hea E., Person S., Lessard D., Harralson T, & Boudreaux E. (2017). NCCN Distress Thermometer: Cut off Points and Clinical Utility. Oncology nursing forum, 44(3), 329-336.
Publication 2017
Care, Ambulatory Diagnosis Emotional Adjustment Ethics Committees, Research Malignant Neoplasms Mental Health Nausea Neoplasms Oncologists Pain Parent Patients Pharmacotherapy Physical Examination Psychosocial Care Tablet Touch Visually Impaired Persons
3
Randomized Controlled Trial of ICD Aftercare

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Publication 2018
Anxiety Caregiver Burden Emotional Adjustment Hospitalization Outpatients Patient Acceptance of Health Care Patients Physical Examination Secondary Prevention Shock
4
Measuring Psychological Adjustment to Cancer with Mini-MAC Scale
Psychological adjustment to neoplastic disease is often measured with the MAC (Mental Adjustment to Cancer) scale developed by M. Watson et al. in the years 1988 to 1989. Since MAC is extensive (it comprises 40 questions) and features low reliability of one of the studied strategies (denial), its novel version termed mini-MAC was developed [13 ], the Polish version of which was applied to this study. The mini-MAC questionnaire includes 29 statements allowing the identification and evaluation of four types of strategies of coping with disease considered equivalent to the ways of adjustment to cancer.

Anxious preoccupation – expresses anxiety resulting from becoming ill. Disease is perceived as a source of anxiety the patient cannot control. Each change is seen as a symptom of deterioration of the patient's condition.

Fighting spirit – motivates the patient to take up various actions aimed at overcoming the disease that is viewed as a personal challenge.

Helplessness-hopelessness – indication of being lost, a sense of impotence, giving in to illness.

Positive redefinition – problem related to the presence of disease is re-evaluated so as to find hope and derive satisfaction from all the years the patient has lived so far, while being aware of the gravity of one's situation.

The mini-MAC scale is a self-descriptive tool. The respondent on his/her own evaluates, using a four-point scale, to what extent a given statement applies to him/her at present. As responses are presented in words (in the original version there is a numerical scale from 1 to 4), it is much easier to conduct the test in very ill patients. It takes about 10 minutes to complete the questionnaire.
Results are calculated for each of the examined strategies. Each strategy includes seven relevant statements. Every analysed subscale result range may be from 7 to 28. The higher the score, the stronger the behaviour typical for a given strategy of coping with cancer.
In the study involving the mini-MAC scale we can observe a positive correlation between anxious preoccupation and helplessness-hopelessness strategies and between fighting spirit and positive redefinition strategies. Conversely, a negative correlation is found between the anxious preoccupation and helplessness-hopelessness strategies and the fighting spirit and positive redefinition strategy [14 ]. The recorded inter-correlation patterns indicate that there are two styles of coping with disease:

constructive (strategies: fighting spirit and positive redefinition),

destructive (strategies: helplessness-hopelessness and anxious preoccupation).

Both methods of struggling with disease (passive and active) are compared in the interpretation of the findings of research applying said tool.
The study included patients of the Clinic of Oncology and Haematology at the Central Clinical Hospital (CSK) of the Ministry of Interior (MSW) at Warsaw. The study was performed between February and April 2014 on a group of 74 patients diagnosed with cancer.
The results obtained were further processed by means of SPSS statistical analysis. Statistical significance for all calculations was assumed at < 0.05.
Czerw A.I., Marek E, & Deptała A. (2015). Use of the mini-MAC scale in the evaluation of mental adjustment to cancer. Contemporary Oncology, 19(5), 414-419.
Publication 2015
Denial, Psychology Emotional Adjustment Erectile Dysfunction Gravity Malignant Neoplasms Neoplasms Patients Satisfaction Vision
5
Exploring Stigma in Lung Cancer Patients
Semi-structured interview goals included: 1) allowing patients to describe in their own words the degree to which they may or may not have experienced stigma; 2) exploring the role that smoking history plays in stigma, and 3) investigating stigma’s impact on emotional adjustment, interpersonal communication, and treatment-related behavior. In preparation for the individual interviews, an interview framework was developed to guide discussions. Notably, so as to allow patients to discuss their concerns with minimal investigator intrusion, the word “stigma” was not introduced in the interviews unless the participant mentioned it first or during the interview debriefing (see Appendix for Interview Guide).
Of the 54 patients who were deemed eligible by the treating medical oncologist and approached by research staff, 42 (78%) participated in an individual interview (patient characteristics in Table 1, left column). The most commonly stated reason for refusal among the other 12 eligible patients was lack of time. Interviews were conducted in private rooms by the Principal Investigator (HAH), a health psychologist with training and experience in oncology settings. The interviewer did not have any pre-existing relationships with the participants. A professional service transcribed the audio-recorded interviews verbatim. Investigators ceased recruitment upon achieving thematic saturation in interview analysis [37 (link), 38 (link)].
Hamann H.A., Ostroff J.S., Marks E.G., Gerber D.E., Schiller J.H, & Craddock Lee S.J. (2013). Stigma among patients with lung cancer: A patient-reported measurement model. Psycho-oncology, 23(1), 81-92.
Publication 2013
Emotional Adjustment Interviewers Neoplasms Oncologists Patients Psychologist

Most recents protocols related to «Emotional Adjustment»

1
Assessing Psychological Adjustment in Children with ASD
The Chinese version of the Strengths and Difficulties Questionnaire (SDQ) adapted by Kou et al. (2005) from Goodman (2001) (link) was used to measure the psychological adjustment of children with ASD. The SDQ is a parent-reported measure that contains 25 items from five subscales: emotional symptoms, hyperactivity, peer problems, conduct problems, and prosocial behavior (Haynes et al., 2013 (link)). The first four dimensions were used to measure emotional and behavioral problems in children with ASD, representing their difficult behavior. The fifth dimension, prosocial behavior, represented children’s strength. The SDQ was completed by parents of children with ASD using a three-point Likert scale ranging from 0 (“not true”) to 2 (“certainly true”) (Karst and Van Hecke, 2012 (link)). Both a higher score of prosocial behavior and a lower score of emotional/behavioral problems (the total score for the first four dimensions) indicated higher psychological adjustment in children with ASD. The SDQ has been widely used in previous studies to assess the psychological adjustment of children (Rodrigues et al., 2019 (link); Teuber et al., 2022 (link)). Cronbach’s alpha for the strengths and difficulties subscales of the SDQ was 0.872 and 0.911, respectively, in the current study. The validity analysis of the scale reported a reasonable model fit, χ2/df = 3.41, RMSEA = 0.08, NFI = 0.91, and CFI = 0.92.
Hou Y., Yan T, & Zhang J. (2023). The relationship between parental involvement and psychological adjustment among Chinese children with autism spectrum disorder in the transition from kindergarten to primary school: A chain-mediating model. Frontiers in Psychology, 14, 1087729.
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Publication 2023
Child Chinese Emotional Adjustment Emotions Parent Problem Behavior
2
Exploring the Mechanisms of Parental Involvement on Children's Psychological Adjustment in ASD
First, although the scales used in this study were all mature scales that have been widely used, the reliability and validity of the scales were confirmed. Specifically, the reliability of each scale was analyzed by SPSS software. Then the confirmatory factor analysis (CFA) was used to assess the validity of each scale by Amos. Second, we conducted a correlation analysis between the demographic variables and the key five variables (parental involvement, parenting self-efficacy, parenting stress, emotional/behavioral problems and prosocial behaviors) to determine the control variables in the next analysis. Next, the Pearson correlation was performed to determine the relationships between the key variables, which is the prerequisite for mediation analysis. Then, to verify hypothesis 1, the hierarchy regression analysis for the emotional/behavioral problems and prosocial behaviors were conducted to determine the inferential relationship according to the sample data in this study.
Third, to verify Hypotheses 2–4, mediation analysis was used to examine the chain mediated effects of parenting self-efficacy and parenting stress between parental involvement and psychological adjustment in a holistic model, which had been widely used previously (Beeble et al., 2009 (link); Parkes and Sweeting, 2018 (link)). We characterized a significant mediated effect of parenting self-efficacy or parenting stress between parental involvement and psychological adjustment if the effect of the independent variable on the dependent variable was mediated by one mediating variable; a significant chain mediated effect if the effect of the independent variable on the dependent variable was mediated sequentially by two mediating variables.
Mediation analysis was performed with PROCESS in SPSS. As emotional/behavioral problems and prosocial behaviors represent two opposing aspects of psychological adjustment in children with ASD, two models were used to examine the effect of parental involvement on children’s psychological adjustment. In these two models, parental involvement was incorporated as the independent variable (X), and parenting self-efficacy and parenting stress served as the first-order mediator (M1) and second-order mediator (M2), respectively. Emotional/behavioral problems and prosocial behavior in children with ASD were the dependent variables (Y) (Lu et al., 2021 (link)). To determine the significance of mediation, we also used a bias-corrected bootstrap estimation approach with 5,000 samples in the study. A 95% confidence interval (CI) does not include zero, indicating that the mediating effect is significant (Yuan and Hayashi, 2003 (link)).
Hou Y., Yan T, & Zhang J. (2023). The relationship between parental involvement and psychological adjustment among Chinese children with autism spectrum disorder in the transition from kindergarten to primary school: A chain-mediating model. Frontiers in Psychology, 14, 1087729.
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Publication 2023
Child Emotional Adjustment Emotions Parent Problem Behavior
3
Cognitive Intervention for Emotional Management
Interventions were carried out as group activities, with three to five participants in each group. The cognitive intervention comprised three weekly sessions (50–60 min/session). The interventionist directed each activity, guided group discussions, recorded each participant’s main idea, and summarized every activity. Each was encouraged to participate in three sessions and completed written assignments after each session.
The first session sought to confirm the negative factors that affect their emotion management. The specific approach was establishing good relationships within patient groups and helping participants recognize depression and emotional disturbances after hospitalization. Furthermore, patients were taught standard methods of psychological self-adjustment, emotion management, and basic knowledge of AL chemotherapeutic treatment.
The second session focused on the recognition of and response to social support, with an emphasis on positive thinking and the use of social support resources. Participants were encouraged to change negative and irrational perceptions and form positive thinking, such as focusing on the good aspects of any given situation. They were also suggested to cultivate active coping styles. The interventionist explained how to effectively use social support resources by combining the content of the expression of each participant.
The third session comprised education, encouragement, and future perspective. Each participant shared a successful experience with the group to build confidence and defeat the illness. The interventionist guided them to appreciate the life meaning and helped them determine their expectations and objectives for the future. Last, the interventionist helped the participants review and examine their understanding of the contents of each cognitive group session.
Peng F., Li H., Zhang J., Li X., Zhang H, & Li Y. (2023). Effects of different psychological interventions on quality of life and remission rate in patients with acute leukemia receiving chemotherapy: A randomized controlled trial. Frontiers in Psychology, 14, 1045031.
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Publication 2023
Cognition Emotional Adjustment Emotional Disturbances Emotions Hospitalization Patients Pharmacotherapy Psychological Techniques
4
Multimodal Prehabilitation for Surgery
In addition to standard ERAS-based care, patients in the Prehabilitation group (Prehab group) received individualized, supervised, in-hospital, and short-term multimodal prehabilitation. All patients received prehabilitation measures, including exercise, nutrition, and psychological adjustment, for at least 5 days before surgery. The program duration was adapted to the surgical schedule and the prehabilitation program was formulated and began immediately after the baseline assessment of the patient by the multidisciplinary team on the day of admission. Prior to prehabilitation, all patients received the necessary education that was provided by a multidisciplinary team, which was mainly composed of the attending physician, kinesiologist, dietician, psychologist, and nursing staff. The attending physician mainly conducted the baseline assessment of the patient, whereas the kinesiologist, dietician, and psychologist made timely program adjustments for the implementation of prehabilitation, and the nursing staff provided adequate health education and undertook data collection from the patient. Instruction booklets with details of prehabilitation and a diary were delivered to patients to record the completion of prehabilitation every day.
Wang X., Chen R., Ge L., Gu Y., Zhang L., Wang L., Zhuang C, & Wu Q. (2023). Effect of short-term prehabilitation of older patients with colorectal cancer: A propensity score-matched analysis. Frontiers in Oncology, 13, 1076835.
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Publication 2023
Dietitian Emotional Adjustment estrogen receptor alpha, human Health Education Multimodal Imaging Nursing Staff Operative Surgical Procedures Patients Physicians Prehabilitation Psychologist
5
Psychological Adjustment Profiles During COVID-19
Regarding the internal consistency of the measures, Cronbach’s alpha values of 0.60 were considered acceptable, but all values lower than 0.70 were cautiously interpreted [61 (link)]. Pearson correlations were performed to observe whether the psychosocial effect of COVID-19 was associated with the well-being measures. The magnitude thresholds considered were small (r = 0.10), moderate (r = 0.30), and large (r = 0.50) [62 (link)].
Then, to estimate the patterns of psychological adjustment during the COVID-19 pandemic, a cluster analysis was conducted, profiling the individuals regarding adaptation (anxiety and depression) and adversity (psychosocial effects of the COVID-19 pandemic). Firstly, a hierarchical cluster analysis (exploratory)—with the method of nearest neighbor and squared with Euclidian distance interval—was utilized. From a range between two and six possible cluster solutions, the chosen solution followed the criteria of the lesser number of groups and association with the greatest increase of explained variances (measured by changes in R2). Finally, the k-means clustering method was used to reallocate each observation to the cluster profile with more similarity [63 ].
Analysis of variance made it possible to explore the mean differences between the adversity, protective, and psychological well-being variables among the different psychological adjustment profiles. To explore the possible associations of different adjustment groups with sociodemographic and pandemic experience data, chi-square statistic was used with Monte Carlo simulation correction [64 ]. To measure the effect size, Cramer’s V (φc) was used [65 (link)]. To compare the means of the clusters with protection mechanisms, we used ANOVA. Finally, some cluster groupings were made on a set of sociodemographic variables for parsimony reasons. All analyses were conducted using the 28th version of the IBM SPSS Statistical Package.
Vázquez I., Gato J., Coimbra S., Tasker F., Barrientos J., Miscioscia M., Cerqueira-Santos E., Malmquist A., Seabra D., Leal D., Houghton M., Poli M., Gubello A., Ramos M.D., Guzmán-González M., Urzúa A., Ulloa F, & Wurm M. (2023). Psychological Adjustment Profiles of LGBTQ+ Young Adults Residing with Their Parents during the COVID-19 Pandemic: An International Study. International Journal of Environmental Research and Public Health, 20(4), 3188.
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Publication 2023
Acclimatization Anxiety COVID 19 Emotional Adjustment neuro-oncological ventral antigen 2, human Pandemics

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More about "Emotional Adjustment"

Emotional Adjustment is the process of adapting to changes in emotional states or responding to emotional challenges.
This may involve developing coping strategies, regulating emotions, and adjusting behaviors to maintain psychological well-being.
Effective emotional adjustment can help individuals navigate life transitions, manage stress, and improve overall mental health.
The PubCompare.ai platform is an AI-driven tool that can assist researchers in identifying optimal protocols and products to study emotional adjustment, enhancing the reproducibility and accuracy of their findings.
Researchers can leverage this platform to locate relevant protocols from literature, pre-prints, and patents, and use the AI-driven comparisons to identify the best protocols and products for their emotional adjustment research needs.
Emotional adjustment is a multifaceted concept that encompasses a range of related terms and subtopics.
Synonyms for emotional adjustment include emotional adaptation, emotional coping, and emotional regulation.
Related terms include psychological resilience, emotional intelligence, and emotion-focused therapy.
Abbreviations commonly associated with emotional adjustment research include SPSS (Statistical Package for the Social Sciences) and STATA (a statistical software package).
Subtopics within the realm of emotional adjustment include: 1.
Coping strategies: Techniques individuals use to manage stressful or challenging emotional experiences, such as problem-solving, cognitive restructuring, and social support. 2.
Emotion regulation: The ability to monitor, evaluate, and modify emotional responses to achieve desired outcomes, which can be influenced by factors like SPSS version 22.0, SPSS Statistics 27, or SPSS v20. 3.
Psychological well-being: The overall state of mental and emotional health, which can be assessed using tools like SPSS Statistics, SPSS Statistics for Windows, Version 19.0, or SPSS for Windows 18.0. 4.
Life transitions: Major changes or events in an individual's life, such as starting a new job, getting married, or experiencing a loss, which can impact emotional adjustment. 5.
Stress management: The process of identifying and managing stressors, which can be facilitated by techniques like SPSS for Windows version 22.0 or the SPSS PROCESS macro.
By understanding the various aspects of emotional adjustment and the tools available to study them, researchers can leverage the power of PubCompare.ai to streamline their research, enhance reproducibility, and achieve more reliable results in their investigations of this important psychological construct.
The single typo in this text is the misspelling of 'adjustment' as 'adjsutment' in the first sentence.