The objective of the current study was to examine the relationships between cognitive emotion regulation strategies and depressive symptoms in essential hypertension patients. Both cross-sectional and prospective relationships were studied in a sample of 650 essential hypertension patients. The cognitive emotion regulation strategies accounted for considerable amounts of variance in depressive symptoms. The following subscales were significantly positively correlated with first-time measurement and follow-up measurement of depressive symptoms: self-blame, rumination, catastrophizing, and blaming others. Positive reappraisal was significantly and positively correlated with first-time measurement of depressive symptoms. In contrast, the following subscales were significantly negatively correlated with follow-up measurement of depressive symptoms: acceptance, positive refocus, refocus on planning, positive reappraisal. Results of multiple regression analyses shows that elevated levels of self-blame, rumination, catastrophizing, and blaming others predicted increases in follow-up measurement of depressive symptoms, while elevated levels of acceptance and refocus on planning predicted decreases follow-up measurement of depressive symptoms. These findings provide us with important targets for intervention programs.

Download full-text PDF

Source
http://dx.doi.org/10.3109/10641963.2010.531832DOI Listing

Publication Analysis

Top Keywords

depressive symptoms
32
measurement depressive
20
follow-up measurement
16
cognitive emotion
12
emotion regulation
12
regulation strategies
12
essential hypertension
12
depressive
8
strategies depressive
8
symptoms
8

Similar Publications

Insular species are usually endemic and prone to long-term population reduction, low genetic diversity, and inbreeding depression, which results in difficulties in species conservation. The situation is even more challenging for the glacial relict species whose habitats are usually fragmented in the mountainous regions. is an endangered and endemic relict tree species in Taiwan.

View Article and Find Full Text PDF

Objective: This study aimed to explore the mechanism and gender effect of socioeconomic status on the relationship between marital quality and depression among the older adults, with the intention of providing a practical foundation for enhancing the quality of life of the older adults.

Methods: The data sourced from the third (conducted in 2015, denoted as the first survey) and fourth (carried out in 2018, regarded as the second survey) installments of the China Health and Retirement Longitudinal Survey (CHARLS) were meticulously analyzed through the utilization of cross-lagged analytical techniques and moderating effect examination methodologies.

Results: Among the older adults, there exists a reciprocal causal relationship between marital quality and the level of depression.

View Article and Find Full Text PDF

Background: The social problems caused by depressive disorders and psychological behaviors in women are increasingly prominent, with extreme incidents occurring from time to time. Therefore, the issue concerning "how to prevent and resolve the risk of depression in women" is gaining significant attention across various sectors. However, previous studies have largely focused on teenage girls, perimenopausal women, or women during pregnancy and the postpartum period, neglecting the adverse effects of major diseases, which is detrimental to enhancing the psychological well-being of women with cancer.

View Article and Find Full Text PDF

Introduction: Indigenous connectedness is an impetus for health, well-being, self-confidence, cultural preservation, and communal thriving. When this connectedness is disrupted, the beliefs, values, and ways of life that weave Indigenous communities together is threatened. In the Spring of 2020, the COVID-19 virus crept into Tribal Nations across the United States and exacerbated significant health-related and educational inequities.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!