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The aim of this article was to validate and compare the Dutch translations of the Gratitude Questionnaire (GQ6) and the Short Gratitude, Resentment, and Appreciation Test (SGRAT) in an adult general population sample. In an online survey, 706 respondents (Mage = 44, SDage = 14) completed Dutch versions of the GQ6, the SGRAT, the Satisfaction With Life Scale (SWLS) and the Positive Affect and Negative Affect Schedule (PANAS). At six week follow-up, 440 (62%) of them (Mage = 46, SDage = 14) again completed the GQ6-NL and SGRAT-NL. Parallel analyses, exploratory factor analyses and confirmatory factor analyses revealed and confirmed one factor for the GQ6-NL, and three factors for the SGRAT-NL. Internal consistency indices of the GQ6-NL and of the SGRAT-NL were satisfactory. Both questionnaires demonstrated good test-retest reliability. Regression analyses showed, for the total scores on both gratitude questionnaires, positive associations with the SWLS and the Positive Affect Scale, and negative associations with the Negative Affect Scale. The results support the validity of the Dutch GQ6 and SGRAT. These questionnaires can be used to conduct further research of the grateful disposition in Dutch speaking individuals and groups.

Gratitude is considered an important source of human strength in achieving and maintaining good mental health. Although complete mental health encompasses the absence of psychopathology and the presence of subjective well-being, no studies to date have examined relations between gratitude and both mental health dimensions together. Moreover, most studies focused on specific samples with a restricted demographic range. Our study, therefore, examined (a) demographic variability in the grateful trait, and (b) prospective associations between gratitude and both dimensions of mental health: psychopathology and subjective well-being. Using a four wave prospective survey design in a large (N = 706) sample of Dutch adults (M age = 44, SD age = 14, Range = 18-80), we measured gratitude with the SGRAT, symptoms of psychopathology with the SCL-90, and subjective well-being with the PANAS and SWLS. Gratitude was significantly associated with age, gender, education level, and employment status. Multilevel time-lagged regression analyses showed that the grateful trait did not predict symptoms of psychopathology, but was a significant albeit weak predictor of subjective well-being, when adjusting for the effects of demographic factors, and prior levels of subjective well-being and psychopathology. Our findings indicate that the grateful trait is associated with demographic factors, and shows complex connections with the presence of well-being and absence of psychopathology. These dynamics should be taken into consideration when studying the role of gratitude in mental health, and developing, applying, and evaluating gratitude interventions with the aim of enhancing subjective well-being and/or reducing psychopathology.

In order to combat chronic immune disorders (CIDs), it is an absolute necessity to understand the bigger picture, one that goes beyond insights at a one-disease, molecular, cellular, and static level. To unravel this bigger picture we advocate an integral, cross-disciplinary approach capable of embracing the complexity of the field. This paper discusses the current knowledge on common pathways in CIDs including general psychosocial and lifestyle factors associated with immune functioning. We demonstrate the lack of more in-depth psychosocial and lifestyle factors in current research cohorts and most importantly the need for an all-encompassing analysis of these factors. The second part of the paper discusses the challenges of understanding immune system dynamics and effectively integrating all key perspectives on immune functioning, including the patient’s perspective itself. This paper suggests the use of techniques from complex systems science in describing and simulating healthy or deviating behavior of the immune system in its biopsychosocial surroundings. The patient’s perspective data are suggested to be generated by using specific narrative techniques. We conclude that to gain more insight into the behavior of the whole system and to acquire new ways of combatting CIDs, we need to construct and apply new techniques in the field of computational and complexity science, to an even wider variety of dynamic data than used in today’s systems medicine.

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