Associations between Modifiable Health-Risk Behaviors and Personality Types

Objectives: The first objective for this study was to explore if characteristics of personality type (using the Preferred Communication Style Questionnaire) are associated with the following modifiable health-risk behaviors: smoking, exercise, alcohol consumption, nutrition, sleep, depression-related stress, anxiety-related stress, healthcare professional usage, and self-discipline. The second objective for this study was to explore if characteristics of personality type are associated with (1) the quality of patient-physician relationships, (2) patient-physician communication, and (3) preferred method for receiving information. Methods: Data were collected from 10,500 adult individuals residing in the United States via an on-line, self-administered survey coordinated by Qualtrics Panels from March 14-30, 2016. Chi-square analysis was used for making comparisons between categories of personality types and items related to health-risk behaviors. Statistical significance was set at p \u3c 0.05. However, chi-square analysis with large sample sizes (e.g. 10,500 in this study) readily yields statistical significance. Practical significance was set at four or more percentage points above or below the overall mean. Results: Regarding objective 1, personality type was associated with all nine health-risk behaviors studied. Personality types within the Experiencer temperament (17% of the U.S. population) accounted for 46% of the undesirable scores we computed for health-risk behaviors. The Idealist temperament (17% of population) accounted for 32% of the undesirable scores. Conceptualizers (10% of population) accounted for 17% of the undesirable scores and Traditionalists (46% of population) accounted for 5% of the undesirable scores. Regarding objective 2, the findings showed that personality type was associated with (1) the importance people place on the patient-physician relationship, (2) which characteristics of that relationship are most desirable, (3) desire for more communication with their physician, and (4) the preferred method for receiving information. Discussion and Conclusions: Precision medicine has been proposed as a way to create a new taxonomy of disease that uses individual specific data to develop accurate diagnosis, targeted treatment, and improved health outcomes. Based on the findings of this study, we propose that inclusion of personality type is an important component of these efforts so that the health care system can conform more to the individual patient in order to increase engagement and adherence, reduce errors, minimize ineffective treatment and waste, and can be cost effective

Use of the Jung/Myers Model of Personality Types to Identify and Engage with Individuals at Greatest Risk of Experiencing Depression and Anxiety

Depression is the leading cause of ill health and disability worldwide. Objectives were (1) to determine the strength of the association between personality type with depression and anxiety using the Preferred Communication Style Questionnaire (PCSQ©) and the Four-Item Patient Health Questionnaire for Depression and Anxiety (PHQ-4) and (2) evaluate the extent to which severity of depression and anxiety is associated with personality type. Data were collected via a self-administered online survey of 10,500. Chi-square analysis compared personality types and depression and anxiety. Practical significance was determined by calculating the percentage-from-expected score based on established statistics reflecting each personality type’s percentage in the US population. Personality type was strongly associated with both depression and anxiety with certain types at significantly greater risk than others. Findings can improve the research and clinical community’s understanding of the specific risk factors and triggers for depression and anxiety, and result in more efficacious, tailored treatment options

Development of the Adherence Predictive Index (API) for Medication Taking

The objective for this study was to explore if characteristics of personality type using the Preferred Communication Style Questionnaire, in concert with the demographic characteristics of age, education, and race/ethnicity, are associated with, and help predict, individuals’ medication adherence behavior. Data were collected via an on-line survey, sent to a sample of adults residing in the United States, between April 28 and June 22, 2015. Out of 26,173 responses to the survey, 16,736 reported taking one or more medications and were eligible for inclusion in this study. The development of the Adherence Predictive Index (API) used mean Morisky Medication Adherence Scale (MMAS-8) scores for each of eight personality types as a starting point. API scores were calculated by adding or subtracting specific values to each group’s mean MMAS-8 score based on personality type, age, education and race/ethnicity characteristics which were demonstrated to have significant effects on adherence. The weighting system was informed by linear regression, logistic regression, personality type literature, researcher experience, and previous qualitative and quantitative research. The resultant score was converted to an API score that ranged from 1 to 5 so that it would be feasible for health care providers to understand and use. The findings showed that an Adherence Predictive Index (API) could be developed based upon a relatively small number of questions that focus on personality type and generational, educational, and cultural experiences. It was developed in order to be a component of a comprehensive program that has the goals of (1) identifying and describing specific behavioral strategies individuals are most likely to successfully employ, (2) motivating patients by using their preferred communication style, and (3) predicting each patient’s propensity to adhere. Future research is needed to evaluate the index’s validity, sensitivity, and effectiveness in actual practice compared with other risk indices.   Type: Original Researc

Development of the Adherence Predictive Index (API) for Medication Taking

The objective for this study was to explore if characteristics of personality type using the Preferred Communication Style Questionnaire, in concert with the demographic characteristics of age, education, and race/ethnicity, are associated with, and help predict, individuals’ medication adherence behavior. Data were collected via an on-line survey, sent to a sample of adults residing in the United States, between April 28 and June 22, 2015. Out of 26,173 responses to the survey, 16,736 reported taking one or more medications and were eligible for inclusion in this study. The development of the Adherence Predictive Index (API) used mean Morisky Medication Adherence Scale (MMAS-8) scores for each of eight personality types as a starting point. API scores were calculated by adding or subtracting specific values to each group’s mean MMAS-8 score based on personality type, age, education and race/ethnicity characteristics which were demonstrated to have significant effects on adherence. The weighting system was informed by linear regression, logistic regression, personality type literature, researcher experience, and previous qualitative and quantitative research. The resultant score was converted to an API score that ranged from 1 to 5 so that it would be feasible for health care providers to understand and use. The findings showed that an Adherence Predictive Index (API) could be developed based upon a relatively small number of questions that focus on personality type and generational, educational, and cultural experiences. It was developed in order to be a component of a comprehensive program that has the goals of (1) identifying and describing specific behavioral strategies individuals are most likely to successfully employ, (2) motivating patients by using their preferred communication style, and (3) predicting each patient’s propensity to adhere. Future research is needed to evaluate the index’s validity, sensitivity, and effectiveness in actual practice compared with other risk indices

Associations between Modifiable Health-Risk Behaviors and Personality Types

Objectives: The first objective for this study was to explore if characteristics of personality type (using the Preferred Communication Style Questionnaire) are associated with the following modifiable health-risk behaviors: smoking, exercise, alcohol consumption, nutrition, sleep, depression-related stress, anxiety-related stress, healthcare professional usage, and self-discipline. The second objective for this study was to explore if characteristics of personality type are associated with (1) the quality of patient-physician relationships, (2) patient-physician communication, and (3) preferred method for receiving information. Methods: Data were collected from 10,500 adult individuals residing in the United States via an on-line, self-administered survey coordinated by Qualtrics Panels from March 14-30, 2016. Chi-square analysis was used for making comparisons between categories of personality types and items related to health-risk behaviors. Statistical significance was set at p < 0.05. However, chi-square analysis with large sample sizes (e.g. 10,500 in this study) readily yields statistical significance. Practical significance was set at four or more percentage points above or below the overall mean. Results: Regarding objective 1, personality type was associated with all nine health-risk behaviors studied. Personality types within the Experiencer temperament (17% of the U.S. population) accounted for 46% of the undesirable scores we computed for health-risk behaviors. The Idealist temperament (17% of population) accounted for 32% of the undesirable scores. Conceptualizers (10% of population) accounted for 17% of the undesirable scores and Traditionalists (46% of population) accounted for 5% of the undesirable scores. Regarding objective 2, the findings showed that personality type was associated with (1) the importance people place on the patient-physician relationship, (2) which characteristics of that relationship are most desirable, (3) desire for more communication with their physician, and (4) the preferred method for receiving information. Discussion and Conclusions: Precision medicine has been proposed as a way to create a new taxonomy of disease that uses individual specific data to develop accurate diagnosis, targeted treatment, and improved health outcomes. Based on the findings of this study, we propose that inclusion of personality type is an important component of these efforts so that the health care system can conform more to the individual patient in order to increase engagement and adherence, reduce errors, minimize ineffective treatment and waste, and can be cost effective. Conflict of Interest Co-author, Paul Tieger is CEO of SpeedReading People, LLC which holds copyright for the Individual Wellness Plan and Adherence Predictive Index tools that are mentioned in this manuscript.   Type: Original Researc

Applying Personality Type Theory to Develop Individualized Wellness Plans for Reducing Chronic Diseases

Objective: The objective of this study was to explore if characteristics of personality type (using the Preferred Communication Style Questionnaire) are associated with activities people prefer for getting adequate exercise, losing weight, managing stress, quitting smoking, reducing alcohol consumption, and taking medications as prescribed. Methods: The data source for this study was the 2016 National Consumer Survey of the Medication Experience and Pharmacists’ Roles. Data were collected via an on-line, self-administered survey conducted from March 14-30, 2016. Data were obtained from 10,500 adults residing in the United States. Chi-square analysis was used for making comparisons between categories of personality types and how respondents believed they could best reach their personal goals. Statistical significance was set at p < 0.05. Practical significance was set at five or more percentage points above or below the overall mean. Results: Findings showed that (1) there are key differences between individuals that impact their behavior and (2) these differences can be easily and accurately identified using the Preferred Communication Style Questionnaire. The findings supported the notion that individuals are more likely to experience success in changing health-risk behaviors if they engage in activities that are consistent with (i) how they are energized, (ii) the kind of information they naturally notice, (iii) how they prefer to make decisions, and (iv) their preferences to live in a more structured way or in a more spontaneous way. Conclusions: Personality type characteristics can be used to develop and implement successful change strategies and intervention tools, such as individualized wellness plans (IWPTM) that help promote intention stability, create implementation intention, resist situational pressure, reduce the impact of past habits on future performances, and improve change maintenance. Conflict of Interest We declare no conflicts of interest or financial interests that the authors or members of their immediate families have in any product or service discussed in the manuscript, including grants (pending or received), employment, gifts, stock holdings or options, honoraria, consultancies, expert testimony, patents and royalties.   Type: Original Researc

Development of the Adherence Predictive Index (API) for Medication Taking

The objective for this study was to explore if characteristics of personality type using the Preferred Communication Style Questionnaire, in concert with the demographic characteristics of age, education, and race/ethnicity, are associated with, and help predict, individuals’ medication adherence behavior. Data were collected via an on-line survey, sent to a sample of adults residing in the United States, between April 28 and June 22, 2015. Out of 26,173 responses to the survey, 16,736 reported taking one or more medications and were eligible for inclusion in this study. The development of the Adherence Predictive Index (API) used mean Morisky Medication Adherence Scale (MMAS-8) scores for each of eight personality types as a starting point. API scores were calculated by adding or subtracting specific values to each group’s mean MMAS-8 score based on personality type, age, education and race/ethnicity characteristics which were demonstrated to have significant effects on adherence. The weighting system was informed by linear regression, logistic regression, personality type literature, researcher experience, and previous qualitative and quantitative research. The resultant score was converted to an API score that ranged from 1 to 5 so that it would be feasible for health care providers to understand and use. The findings showed that an Adherence Predictive Index (API) could be developed based upon a relatively small number of questions that focus on personality type and generational, educational, and cultural experiences. It was developed in order to be a component of a comprehensive program that has the goals of (1) identifying and describing specific behavioral strategies individuals are most likely to successfully employ, (2) motivating patients by using their preferred communication style, and (3) predicting each patient’s propensity to adhere. Future research is needed to evaluate the index’s validity, sensitivity, and effectiveness in actual practice compared with other risk indices.   Type: Original Researc

Pribadimu Profesimu: temukan Karier ynag Sempurna untuk Anda Berdasarkan Tipe Kepribadian

xxiii, 505 hlm.; Ind.; 24 c

Pribadimu Profesimu; Temukan Karier yang sempurna untuk anda berdasarkan Tipe kepribadian

Kepuasan bekerja sebagian ditentukan oleh cocok tidaknya pekerjaan dengan tipe kepribadian. Apakah kepribadian mu tepat untuk pekerjaan saat ini, atau yang sedang di cari?Pribadimu Profesimu mengajak mengenal Tipe Kepribadian berdasarkan empat pasang aspek: Extraversion (E) atau Introversion (I), Intuition (N) atau Sensing (S), Feeling (F) atau Thinking (T), Judging (J) atau Perceiving (P). Setelah menemukan Tipe Kepribadian di antara 16 kemungkinan, lihatlah bagian untuk Tipe mu dan cari tahu hal-hal apa yang bisa membuat puas dalam pekerjaan, kekuatan dan kelemahan , serta berbagai pilihan profesi yang bisa cocok dengan .Tipe Kepribadian juga mengalami perkembangan sepanjang hidup, menjadi lebih utuh dan berimbang, dan membuat kita makin nyaman menggunakan aspek kepribadian yang berbeda. Buku ini juga menjelaskan pola perkembangan setiap tipe seiring bertambahnya usia, berikut pengaruhnya bagi kepuasan karier di berbagai tahap hidup .17x24 c