Personality, individual differences, stress and health

Hagger, Martin S.

doi:10.1002/smi.1294

Cited by 19 publications

(13 citation statements)

References 47 publications

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“…Step 1), due to previous reports of gender, age-based differences, education, income and personality related to well-being (Hagger, 2009) . All continuous variables were standardized; consequently, the odds ratios represent that inclusion in the clinical caseness group is associated with being one SD higher for the predictor variable.…”

Section: Discussionmentioning

confidence: 99%

An ecological systems model of trait resilience: Cross-cultural and clinical relevance

Maltby

Day

Żemojtel‐Piotrowska

et al. 2016

Personality and Individual Differences

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The study explored how scores on the three dimensions of the Engineering, Ecological, and Adaptive Capacity (EEA) trait resilience scale, derived from Holling's ecological systems theory of resilience, demonstrate fit within higher-order bifactor models of measurement, cultural invariance, and associations with clinical caseness of affect. Three samples (295 US adults, and 179 Japanese and 251 Polish university students) completed the EEA trait resilience scale. In addition, a subsample of US adults were administered the Ten-Item Personality Inventory and the Hospital Anxiety and Depression Scale ). Across all samples, a higher-order bifactor model provided the best fit of the data, with salience of loadings on the three group factors. A multi-group comparison found configural invariance, but neither metric nor scalar invariance, for EEA resilience scores across the three samples. Among the US sample, engineering and adaptive trait resilience scores predicted clinical caseness of depression, and adaptive trait resilience scores predicted clinical caseness of anxiety, after controlling for sex, age, income, education, employment, and personality. The findings suggest the cross-cultural replicability of the structure (but not the meaning) of the threefactor EEA measure of trait resilience, and its relevance for predicting clinical caseness of affect among a US sample.An Ecological Systems Model of Trait Resilience ... 3

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Section: Discussionmentioning

confidence: 99%

An ecological systems model of trait resilience: Cross-cultural and clinical relevance

Maltby

Day

Żemojtel‐Piotrowska

et al. 2016

Personality and Individual Differences

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“…This highlights the fact that campaigns need to be targeted differently depending upon the profile of the population who are most likely to act upon the message. As argued by others [26,27], the tailoring of specific messages to specific groups is an important endeavour to counteract the broad, population-wide, non-specific messages commonly used. There is a need to look past the demographic areas of research so that additional detail on the broader life and health context details are provided.…”

Section: Discussionmentioning

confidence: 99%

A survey to assist in targeting the adults who undertake risky behaviours, know their health behaviours are not optimal and who acknowledge being worried about their health

2013

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BackgroundResearch indicates that those who are worried about their health are more likely to change their in-appropriate behavioural-related risk factors. A national survey was undertaken to determine adults who correctly perceive and actually undertake in-appropriate behavioural-related risk factors (smoking, physical activity, alcohol intake, fruit and vegetable consumption, weight and psychological distress) and are worried about their health.MethodsAustralian 2010 CATI survey of 3003 randomly selected adults. Perception and self-reported levels of each risk factor, and whether they worried that the level was affecting their health were assessed using univariate and multivariate analyses.ResultsThe comparisons between perception of healthy behaviour and actual behaviour varied for each risk factor with 44.1% of people in the un-healthy weight range and 72.9% of those eating less than sufficient fruit and vegetables having the perception that their behaviour was healthy. The demographic and other related variables in the multivariate analyse for each risk factor varied considerably. For example the variables in the final multivariate model for smokers who were worried about their risk factor were markedly different to the other risk factor models and 45 to 54 year olds were more likely to be included in the final models for nearly all of the risk factor analyses.ConclusionBy limiting this analyses to those who are acknowledging (correctly or otherwise) that their perception of behaviour is making their health worse, this study has shown that the profile for each risk factor varies considerably. As such, evidence suggests specific targeted programs are required rather than a broad brush approach.

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“…Dispositional characteristics shape how individuals respond to behaviour change and their health more generally (16–18). For instance, a number of studies have explored the association between health and health behaviours, and the personality traits of neuroticism, extroversion, openness, agreeableness and conscientiousness (19).…”

Section: Introductionmentioning

confidence: 99%

Examining factors that influence the adoption of health‐promoting behaviours among people with venous disease

Miller¹,

Kapp²,

Donohue³

2012

International Wound Journal

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People living with venous disease are encouraged to make a number of behaviour modifications to facilitate healing and to prevent a recurrence of a venous leg ulcer. This investigation sought to examine factors described in the literature that shape the effectiveness of multi-component education programs and conduct a secondary analysis of data to examine relationships between various health behaviours for people with a venous leg ulcer who participated in a standardised e-learning education program. This study found few statistically significant and typically minor relationships between health behaviours after participants had completed the education program. No significant differences were identified by participant gender, age or need for a carer, for either the number of health behaviours performed after the education or the number of behaviour changes made during the education. Participants performing few of the recommended health-promoting behaviours prior to the education achieved more behaviour change than those already engaged in the sought after activities [F(2,154) = 16·038, P = 0·000]. The notable lack of associations between the performance of the health-promoting behaviours places emphasis on the need for comprehensive investigation of the moderators and mediators of multi-faceted behaviour change to promote wound healing and chronic disease management.

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Personality, individual differences, stress and health

Cited by 19 publications

References 47 publications

An ecological systems model of trait resilience: Cross-cultural and clinical relevance

An ecological systems model of trait resilience: Cross-cultural and clinical relevance

A survey to assist in targeting the adults who undertake risky behaviours, know their health behaviours are not optimal and who acknowledge being worried about their health

Examining factors that influence the adoption of health‐promoting behaviours among people with venous disease

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