The Experts below are selected from a list of 303 Experts worldwide ranked by ideXlab platform
Philip A. Vernon - One of the best experts on this subject based on the ideXlab platform.
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seasonal Mood Change and personality an investigation of genetic co morbidity
Psychiatry Research-neuroimaging, 1998Co-Authors: Kerry L. Jang, Raymond W. Lam, Philip A. Vernon, Julie Aitken Harris, John W LivesleyAbstract:Abstract Clinical observations and empirical studies suggest that Seasonal Affective Disorder (SAD) is related to personality. The present study estimates the genetic and environmental correlations between the Global Seasonality Score (GSS) from the Seasonal Pattern Assessment Questionnaire and personality measures, assessed using the NEO Five Factor Inventory (NEO-FFI) and the Dimensional Assessment of Personality Pathology (DAPP) in a volunteer sample of 163 monozygotic (MZ) pairs (102 female and 61 male pairs) and 134 dizygotic (DZ) pairs (70 female, 38 male and 26 opposite-sex pairs). Large genetic correlations were found between the GSS and NEO-FFI Neuroticism (0.52: 95% CI=0.36–0.71) and DAPP-BQ Cognitive Dysregulation (0.50: 95% CI=0.30–0.71), Affective Lability (0.49: 95% CI=0.29–0.77), Anxiousness (0.37: 95% CI=0.18–0.55) and Stimulus Seeking (0.45: 95% CI=0.25–0.64) scales. The genetic correlations with the remaining scales, such as Extraversion (0.06: 95% CI=−0.16–0.26), Compulsivity (−0.09: 95% CI=−0.31–0.12) and Submissiveness (0.15: 95% CI=−0.05–0.34) were uniformly small. All environmental correlations between the GSS and personality scales were≤0.19. These results provide evidence that the observed correlations between these seasonality and personality dimensions are attributable to common genetic factors and that environmental influences are domain specific.
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Gender differences in the heritability of seasonal Mood Change
Psychiatry research, 1997Co-Authors: Kerry L. Jang, Raymond W. Lam, W. John Livesley, Philip A. VernonAbstract:The study estimated gender differences in the magnitude of genetic and environmental influence in seasonal Mood Change. The self-report Seasonal Pattern Assessment Questionnaire (SPAQ) was completed by 339 volunteer reared-together twinpairs (187 monozygotic pairs, 152 dizygotic pairs) and analysed using biometric genetic models. The SPAQ yields a global seasonality score (GSS) which is an index of Change in sleep patterns, social activities, Mood, weight, appetite, and energy level. The GSS was significantly heritable among males and females, estimated to account for 69% and 45% of the total variance, respectively. For the individual symptoms, Changes in sleep patterns, social activities, Mood, appetite, and energy levels were accounted for primarily by additive genetic effects in both males (median, 45.5%) and females (median, 30.5%). For both sexes, weight Changes were not heritable. Sex-by-genotype analyses suggested that the genetic factors influencing female seasonality may not be the same as those influencing male seasonality.
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The relationship between seasonal Mood Change and personality: more apparent than real?
Acta psychiatrica Scandinavica, 1997Co-Authors: Kerry L. Jang, Raymond W. Lam, W. John Livesley, Philip A. VernonAbstract:A number of recent research reports have reported significant relationships between seasonal Mood Change (seasonality) and personality. However, some of the results are difficult to interpret because of inherent methodological problems, the most important of which is the use of samples drawn from the southern as opposed to the northern hemisphere, where the phenomenon of seasonality may be quite different. The present study examined the relationship between personality and seasonality in a sample from the northern hemisphere (minimum latitude=49°N). A total of 297 adults drawn from the general population (112 male and 185 female subjects) completed the Seasonal Pattern Assessment Questionnaire, and the results obtained confirmed most of the previously reported relationships and showed that these are reliable across (i) different hemispheres, (ii) different measures of personality and (iii) clinical and general population samples. However, the impact of the relationship seems to be more apparent than real, with personality accounting for just under 15% of the total variance.
Kerry L. Jang - One of the best experts on this subject based on the ideXlab platform.
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seasonal Mood Change and personality an investigation of genetic co morbidity
Psychiatry Research-neuroimaging, 1998Co-Authors: Kerry L. Jang, Raymond W. Lam, Philip A. Vernon, Julie Aitken Harris, John W LivesleyAbstract:Abstract Clinical observations and empirical studies suggest that Seasonal Affective Disorder (SAD) is related to personality. The present study estimates the genetic and environmental correlations between the Global Seasonality Score (GSS) from the Seasonal Pattern Assessment Questionnaire and personality measures, assessed using the NEO Five Factor Inventory (NEO-FFI) and the Dimensional Assessment of Personality Pathology (DAPP) in a volunteer sample of 163 monozygotic (MZ) pairs (102 female and 61 male pairs) and 134 dizygotic (DZ) pairs (70 female, 38 male and 26 opposite-sex pairs). Large genetic correlations were found between the GSS and NEO-FFI Neuroticism (0.52: 95% CI=0.36–0.71) and DAPP-BQ Cognitive Dysregulation (0.50: 95% CI=0.30–0.71), Affective Lability (0.49: 95% CI=0.29–0.77), Anxiousness (0.37: 95% CI=0.18–0.55) and Stimulus Seeking (0.45: 95% CI=0.25–0.64) scales. The genetic correlations with the remaining scales, such as Extraversion (0.06: 95% CI=−0.16–0.26), Compulsivity (−0.09: 95% CI=−0.31–0.12) and Submissiveness (0.15: 95% CI=−0.05–0.34) were uniformly small. All environmental correlations between the GSS and personality scales were≤0.19. These results provide evidence that the observed correlations between these seasonality and personality dimensions are attributable to common genetic factors and that environmental influences are domain specific.
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Gender differences in the heritability of seasonal Mood Change
Psychiatry research, 1997Co-Authors: Kerry L. Jang, Raymond W. Lam, W. John Livesley, Philip A. VernonAbstract:The study estimated gender differences in the magnitude of genetic and environmental influence in seasonal Mood Change. The self-report Seasonal Pattern Assessment Questionnaire (SPAQ) was completed by 339 volunteer reared-together twinpairs (187 monozygotic pairs, 152 dizygotic pairs) and analysed using biometric genetic models. The SPAQ yields a global seasonality score (GSS) which is an index of Change in sleep patterns, social activities, Mood, weight, appetite, and energy level. The GSS was significantly heritable among males and females, estimated to account for 69% and 45% of the total variance, respectively. For the individual symptoms, Changes in sleep patterns, social activities, Mood, appetite, and energy levels were accounted for primarily by additive genetic effects in both males (median, 45.5%) and females (median, 30.5%). For both sexes, weight Changes were not heritable. Sex-by-genotype analyses suggested that the genetic factors influencing female seasonality may not be the same as those influencing male seasonality.
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The relationship between seasonal Mood Change and personality: more apparent than real?
Acta psychiatrica Scandinavica, 1997Co-Authors: Kerry L. Jang, Raymond W. Lam, W. John Livesley, Philip A. VernonAbstract:A number of recent research reports have reported significant relationships between seasonal Mood Change (seasonality) and personality. However, some of the results are difficult to interpret because of inherent methodological problems, the most important of which is the use of samples drawn from the southern as opposed to the northern hemisphere, where the phenomenon of seasonality may be quite different. The present study examined the relationship between personality and seasonality in a sample from the northern hemisphere (minimum latitude=49°N). A total of 297 adults drawn from the general population (112 male and 185 female subjects) completed the Seasonal Pattern Assessment Questionnaire, and the results obtained confirmed most of the previously reported relationships and showed that these are reliable across (i) different hemispheres, (ii) different measures of personality and (iii) clinical and general population samples. However, the impact of the relationship seems to be more apparent than real, with personality accounting for just under 15% of the total variance.
Raymond W. Lam - One of the best experts on this subject based on the ideXlab platform.
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seasonal Mood Change and personality an investigation of genetic co morbidity
Psychiatry Research-neuroimaging, 1998Co-Authors: Kerry L. Jang, Raymond W. Lam, Philip A. Vernon, Julie Aitken Harris, John W LivesleyAbstract:Abstract Clinical observations and empirical studies suggest that Seasonal Affective Disorder (SAD) is related to personality. The present study estimates the genetic and environmental correlations between the Global Seasonality Score (GSS) from the Seasonal Pattern Assessment Questionnaire and personality measures, assessed using the NEO Five Factor Inventory (NEO-FFI) and the Dimensional Assessment of Personality Pathology (DAPP) in a volunteer sample of 163 monozygotic (MZ) pairs (102 female and 61 male pairs) and 134 dizygotic (DZ) pairs (70 female, 38 male and 26 opposite-sex pairs). Large genetic correlations were found between the GSS and NEO-FFI Neuroticism (0.52: 95% CI=0.36–0.71) and DAPP-BQ Cognitive Dysregulation (0.50: 95% CI=0.30–0.71), Affective Lability (0.49: 95% CI=0.29–0.77), Anxiousness (0.37: 95% CI=0.18–0.55) and Stimulus Seeking (0.45: 95% CI=0.25–0.64) scales. The genetic correlations with the remaining scales, such as Extraversion (0.06: 95% CI=−0.16–0.26), Compulsivity (−0.09: 95% CI=−0.31–0.12) and Submissiveness (0.15: 95% CI=−0.05–0.34) were uniformly small. All environmental correlations between the GSS and personality scales were≤0.19. These results provide evidence that the observed correlations between these seasonality and personality dimensions are attributable to common genetic factors and that environmental influences are domain specific.
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Gender differences in the heritability of seasonal Mood Change
Psychiatry research, 1997Co-Authors: Kerry L. Jang, Raymond W. Lam, W. John Livesley, Philip A. VernonAbstract:The study estimated gender differences in the magnitude of genetic and environmental influence in seasonal Mood Change. The self-report Seasonal Pattern Assessment Questionnaire (SPAQ) was completed by 339 volunteer reared-together twinpairs (187 monozygotic pairs, 152 dizygotic pairs) and analysed using biometric genetic models. The SPAQ yields a global seasonality score (GSS) which is an index of Change in sleep patterns, social activities, Mood, weight, appetite, and energy level. The GSS was significantly heritable among males and females, estimated to account for 69% and 45% of the total variance, respectively. For the individual symptoms, Changes in sleep patterns, social activities, Mood, appetite, and energy levels were accounted for primarily by additive genetic effects in both males (median, 45.5%) and females (median, 30.5%). For both sexes, weight Changes were not heritable. Sex-by-genotype analyses suggested that the genetic factors influencing female seasonality may not be the same as those influencing male seasonality.
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The relationship between seasonal Mood Change and personality: more apparent than real?
Acta psychiatrica Scandinavica, 1997Co-Authors: Kerry L. Jang, Raymond W. Lam, W. John Livesley, Philip A. VernonAbstract:A number of recent research reports have reported significant relationships between seasonal Mood Change (seasonality) and personality. However, some of the results are difficult to interpret because of inherent methodological problems, the most important of which is the use of samples drawn from the southern as opposed to the northern hemisphere, where the phenomenon of seasonality may be quite different. The present study examined the relationship between personality and seasonality in a sample from the northern hemisphere (minimum latitude=49°N). A total of 297 adults drawn from the general population (112 male and 185 female subjects) completed the Seasonal Pattern Assessment Questionnaire, and the results obtained confirmed most of the previously reported relationships and showed that these are reliable across (i) different hemispheres, (ii) different measures of personality and (iii) clinical and general population samples. However, the impact of the relationship seems to be more apparent than real, with personality accounting for just under 15% of the total variance.
James J. Annesi - One of the best experts on this subject based on the ideXlab platform.
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effects of Mood Change on self regulatory skill usage and subsequent impacts on physical activity and eating Changes within the weight loss phase of differing behavioral obesity treatment types a retrospective cohort study
European Journal of Integrative Medicine, 2017Co-Authors: James J. AnnesiAbstract:Abstract Introduction Previous research suggests the value of self-regulation for facilitating weight-loss behaviors. This study aimed to determine if improved Mood has a facilitative effect on the self-regulation of healthy eating and exercise outputs associated within behavioral obesity treatments. Methods Data were from women with obesity (mean age = 47.1 ± 8.4 years; mean BMI = 35.0 ± 3.2 kg/m2) who previously participated in one of two community-based weight-loss treatment types over 6 months. One supported manual-based education on the need for healthy eating and increased exercise (n = 127). The other focused on self-regulation skills applied first to exercise, then eating behaviors (n = 107). Changes in exercise- and eating-related self-regulation, negative Mood, exercise and eating behaviors, and weight were assessed. Results For both the psychological, exercise, and eating Changes, effect sizes for within-group improvements were uniformly larger in the self-regulation group. Weight loss was 2.1% in the education group, and 6.3% in the self-regulation group. Based on 95% confidence intervals, Changes in self-regulation over 3 months significantly mediated the prediction of Changes in exercise, fruit/vegetable intake, and sweets consumption over 6 months by treatment type. Change over 3 months in Mood significantly moderated (p-values ≤ 0.01) the above-indicated association of treatment type with self-regulation Change. Mood score at month 3 was also a significant moderator (p-values Conclusion Findings clarified benefits for targeting self-regulation and Mood within behavioral weight-loss treatments that go well-beyond typical processes of providing education on desirable behaviors.
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Supported exercise improves controlled eating and weight through its effects on psychosocial factors: extending a systematic research program toward treatment development.
The Permanente journal, 2012Co-Authors: James J. AnnesiAbstract:Background: Behavioral weight-loss treatments have been overwhelmingly unsuccessful. Many inadequately address both behavioral theory and extant research—especially in regard to the lack of viability of simply educating individuals on improved eating and exercise behaviors. Objective: The aim was to synthesize research on associations of Changes in exercise behaviors, psychosocial factors, eating behaviors, and weight; and then conduct further direct testing to inform the development of an improved treatment approach. Methods: A systematic program of health behavior-Change research based on social cognitive theory, and extensions of that theory applied to exercise and weight loss, was first reviewed. Then, to extend this research toward treatment development and application, a field-based study of obese adults was conducted. Treatments incorporated a consistent component of cognitive-behaviorally supported exercise during 26 weeks that was paired with either standard nutrition education (n = 183) or cognitive-behavioral methods for controlled eating that emphasized self-regulatory methods such as goal setting and caloric tracking, cognitive restructuring, and eating cue awareness (n = 247). Results: Both treatment conditions were associated with improved self-efficacy, self-regulation, Mood, exercise, fruit and vegetable consumption, weight, and waist circumference; with improvements in self-regulation for eating, fruit and vegetable consumption, weight, and waist circumference significantly greater in the cognitive-behavioral nutrition condition. Changes in exercise- and eating-related self-efficacy and self-regulation were associated with Changes in exercise and eating (R2 = 0.40 and 0.17, respectively), with Mood Change increasing the explanatory power to R2 = 0.43 and 0.20. Improved self-efficacy and self-regulation for exercise carried over to self-efficacy and self-regulation for controlled eating (β= 0.53 and 0.68, respectively). Conclusions: Development and longitudinal testing of a new and different approach to behavioral treatment for sustained weight loss that emphasizes exercise program-induced psychosocial Changes preceding the facilitation of improved eating and weight loss should be guided by our present research.
W. John Livesley - One of the best experts on this subject based on the ideXlab platform.
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Gender differences in the heritability of seasonal Mood Change
Psychiatry research, 1997Co-Authors: Kerry L. Jang, Raymond W. Lam, W. John Livesley, Philip A. VernonAbstract:The study estimated gender differences in the magnitude of genetic and environmental influence in seasonal Mood Change. The self-report Seasonal Pattern Assessment Questionnaire (SPAQ) was completed by 339 volunteer reared-together twinpairs (187 monozygotic pairs, 152 dizygotic pairs) and analysed using biometric genetic models. The SPAQ yields a global seasonality score (GSS) which is an index of Change in sleep patterns, social activities, Mood, weight, appetite, and energy level. The GSS was significantly heritable among males and females, estimated to account for 69% and 45% of the total variance, respectively. For the individual symptoms, Changes in sleep patterns, social activities, Mood, appetite, and energy levels were accounted for primarily by additive genetic effects in both males (median, 45.5%) and females (median, 30.5%). For both sexes, weight Changes were not heritable. Sex-by-genotype analyses suggested that the genetic factors influencing female seasonality may not be the same as those influencing male seasonality.
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The relationship between seasonal Mood Change and personality: more apparent than real?
Acta psychiatrica Scandinavica, 1997Co-Authors: Kerry L. Jang, Raymond W. Lam, W. John Livesley, Philip A. VernonAbstract:A number of recent research reports have reported significant relationships between seasonal Mood Change (seasonality) and personality. However, some of the results are difficult to interpret because of inherent methodological problems, the most important of which is the use of samples drawn from the southern as opposed to the northern hemisphere, where the phenomenon of seasonality may be quite different. The present study examined the relationship between personality and seasonality in a sample from the northern hemisphere (minimum latitude=49°N). A total of 297 adults drawn from the general population (112 male and 185 female subjects) completed the Seasonal Pattern Assessment Questionnaire, and the results obtained confirmed most of the previously reported relationships and showed that these are reliable across (i) different hemispheres, (ii) different measures of personality and (iii) clinical and general population samples. However, the impact of the relationship seems to be more apparent than real, with personality accounting for just under 15% of the total variance.