Longitudinal comparison of health locus of control and subjective well-being in older women with breast cancer

2021 ◽  
pp. 1-14
Author(s):  
Fanglin Li ◽  
Tongtong Jiang ◽  
Yu Liu ◽  
Binghan Liu ◽  
Tieying Shi
2016 ◽  
Vol 33 (S1) ◽  
pp. s288-s288
Author(s):  
S. von Humboldt ◽  
I. Leal ◽  
F. Carneiro

ObjectivesTo build a structural model to explore the predictors of adjustment to aging (AtA) reported by older women in breast cancer remission.MethodsOlder women in breast cancer remission (n = 214) aged between 75 and 94 years participated in this study. A questionnaire to determine socio-demographic (age, income, professional and marital status, education, household, living setting and self-reported spirituality), lifestyle and health-related characteristics (physical activity, leisure, perceived health, recent disease and medication), and measures to assess AtA, sense of coherence and subjective well-being, were employed. Structural equation modeling was used to explore a structural model of the self-reported AtA, encompassing all variables.ResultsPreliminary results indicated that self-reported spirituality (β = .397; P < .001), leisure (β = .383; P < .001), physical activity (β = .267; P < .001), perceived health (β = .211; P < .001), marital status (β = .173; P < .001), professional status (β = .156; P = .009), sense of coherence (β = .138; P < .001), and living setting (β = .129; P = .007), predicted AtA. The variables accounted for 79.2% of the variability of AtA.ConclusionSelf-reported spirituality and leisure were the strongest predictors of AtA. Our preliminary findings suggest that health care interventions with older women in breast cancer remission still living in the community may benefit from clearly including predictors of AtA, as these are essential for promoting older women’ s aging well.Disclosure of interestThe authors have not supplied their declaration of competing interest.


Healthcare ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1588
Author(s):  
Sunhwa Shin ◽  
Eunhye Lee

The purpose of this study was to confirm the relationship between internal health locus of control, mental health problems, and subjective well-being in adults during the prolonged COVID-19 pandemic. In particular, the mediating effect of mental health problems on the relationship between internal health locus of control and subjective well-being was examined. A cross-sectional descriptive design was conducted via online survey. The participants were 600 adults over 20 years of age living in South Korea. The collected data were analyzed using hierarchical regression analysis and SPSS Process Macro (Model 4). As a result of the study, the internal health locus of control had a significant negative effect on mental health problems. In addition, in the process of the internal health locus of control affecting subjective well-being, the mediating effect of mental health problems was significantly shown. In the period of an infectious disease pandemic such as COVID-19, it is necessary to establish a strong internal health locus of control of individuals and to promote monitoring and treatment introduction for those with a low internal health locus of control. In addition, it was discussed that controlling mental health problems can improve subjective well-being, which is life satisfaction and happiness.


Curationis ◽  
2001 ◽  
Vol 24 (2) ◽  
Author(s):  
K Peltzer

Objectives: To provide data on African/black South African university students’ tobacco use status, belief in the benefits to health of not smoking, risk awareness in terms of knowledge of the links between smoking and disease, health locus of control, value for health, subjective health status and well-being. Design: Cross sectional. Setting: University of the North Subjects: 793 Black University students from non-health courses chosen by random sampling, of these 370 (46.7%) were males and 423 (53.3%) were females in the age range of 18 to 25 years (M age 21.0 years, SD=3.48). Main Outcome Measures: A measure of smoking, the Multidimensional Health Locus of Control Scale, the Health as a Value Scale, and a measure for subjective health and subjective well-being. Results: The average prevalence of current tobacco use was 15% in men and 1% in women. The proportion of tobacco users who were classified as light users (1-10 per day) averaged 10% in men and 1% in women. Age and being male were significantly positively associated with status and frequency of tobacco use. Awareness of the link between smoking and lung cancer was high (93%), but awareness of the role of smoking in heart disease was very low (16%). The importance to health of not smoking was associated with smoking status (non-smoking versus smoking). Overall, 75% of the current smokers stated that they would like to reduce the amount they smoked. Poor subjective health status and low subjective well-being was associated with smoking status. No significant differences were found among non-tobacco users and tobacco users in relation to the three subscales of the Health Locus of Control (Internal, Chance, and Powerful others) and Value for health. Conclusion: For about 9% of the male students investigated, a high risk exists to become regular tobacco users for the next 30 years.


2020 ◽  
Vol 6 (2) ◽  
pp. 31-49
Author(s):  
Sibylle Georgianna ◽  
◽  
Jennifer Jagerson ◽  

Objective The current study examined the impact of a non-governmental organization’s academic tutoring and mentoring program on the social-emotional learning (SEL) and subjective well-being of 240 marginalized young women. Participants One-hundred-fifty-nine currently enrolled 7-12th grade students with a mean age of 16.39, SD=1.55; 40 students who were enrolled in college with a mean age of 20.25, SD=1.57, and 25 who had graduated from college with a mean age of 22.48, SD=2.16 and their leaders participated. Methods All participants completed in a survey that assessed the degree of participants’ locus of control, expectations of success (self-efficacy), current goals and career-related aspirations and their satisfaction with their relationships and life in general. Twenty-one of the participants and all leaders also were interviewed. Results Regression analyses revealed that both the participants’ self-management and the leader’s locus of control were significant predictors of the participants’ internal locus of control. Congruent with interview findings, latent structural equation analysis revealed that three manifest variables of social-emotional learning, “self-management”, “social awareness”, and “self-efficacy” had direct positive effects on participants’ subjective well-being (i.e., their satisfaction with life and relationships). Conclusion Culturally sensitive approaches to mentoring and training are needed and helpful. Future research should be carried out to mitigate design limitations and further the current study’s addition to the body of research on social-emotional learning and well-being.


2020 ◽  
pp. 025371762095644
Author(s):  
Sandeep Grover ◽  
Devakshi Dua

Background: Well-being and locus of control have been important areas of research over the last few years. However, limited information is available about the same from India, due to the lack of validated instruments in regional languages for the same.This research aimed to translate, adapt, and validate the Warwick-Edinburgh Mental Well-being Scale (WEMWBS), Spiritual Well-being Scale (SWBS), and Multidimensional Health Locus of Control (MHLC) Scale in Hindi. Methods: The scales were translated into Hindi by following the translation–back-translation methodology as specified by the World Health Organization. Next, the Hindi versions of the scales were completed by 102 participants, and then, the participants completed either the Hindi or the English version of the scales after 3–7 days. Results: The Hindi versions of WEMWBS, MHLC, and SWBS have high cross-language equivalence with the English version of the scale, both at the level of the individual items and the various dimensions in all three scales, which was significant (P < 0.001). Cronbach’s alpha for the Hindi version of WEMWBS, SWBS, and MHLC scales was 0.92, 0.83, and 0.77, respectively. The Spearman–Brown coefficient was 0.82, 0.63, and 0.63 for WEMWBS, SWBS, and MHLC, respectively. As measured on the Centrality of Religiosity Scale (CRS), higher religiosity was associated with greater religious and existential well-being. Conclusion: The Hindi versions of WEMWBS, SWBS, and MHLC have good cross-language equivalence, internal consistency, and test–retest reliability. It is expected that these validated scales will stimulate more research in this area, focusing on evaluating the association of clinical parameters along with well-being and locus of control.


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