The Association of Dyadic Symptom Appraisal With Physical and Mental Health Over Time in Care Dyads Living With Lung Cancer

2019 ◽  
Vol 26 (1) ◽  
pp. 15-25 ◽  
Author(s):  
Karen S. Lyons ◽  
Christopher S. Lee

The study examined the association between changes in dyadic symptom appraisal with changes in physical and mental health of 109 family care dyads living with lung cancer over 12 months. Multilevel modeling was used to analyze both aggregate and time-varying associations of dyadic symptom appraisal with dyadic health. Patients had significantly worse physical health compared with their care partner; care partners had significantly worse mental health compared with patients. In general, greater incongruent symptom appraisals were significantly associated with worse physical health for both patients and care partners. Importantly, increases in magnitude of incongruence regarding the patient’s pain interference were significantly associated with declines in patient physical health over time. Direction of the incongruence was associated with mental health. Findings highlight the need for both a longitudinal and dyadic perspective of symptom appraisal to move toward theoretically driven interventions that will optimize the health of both patients and their care partners.

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 314-314
Author(s):  
Lyndsey Miller ◽  
Karen Lyons

Abstract Optimizing dyadic health is a central goal of dyadic frameworks. Yet, research has focused on interdependent individual health or the transactional nature of health within dyads. Emerging research has explored dyadic health through the lens of congruence and balance. This longitudinal study examined dyadic mental health in 76 couples (M = 67.88 ± 11.54) during the first year of lung cancer. As expected, multilevel modeling found mental and physical health of couples were significantly associated at baseline (p < .05). Congruence in mental health was significantly associated with changes in physical health over time for survivors (p < .05) but not partners, whereas balanced mental health had differential effects on the physical health of survivors and partners (p < .01). Discussion will focus on the implications of congruent versus balanced dyadic health for the couple, evaluation of interventions, and propose ways to define optimal dyadic health.


2021 ◽  
Author(s):  
Maria Thomson ◽  
Maureen Wilson-Genderson ◽  
Laura A Siminoff

Abstract Background Informal caregivers play a fundamental role in the care of hematological cancer patients, but less is known about how secondary caregivers are involved. We assessed the presence or absence of a secondary caregiver, the types of caregiving activities performed by primary and secondary caregivers and examined whether the presence of a secondary caregiver was associated with primary caregiver characteristics and wellbeing over time. Methods A case series of hematological cancer patient-caregiver dyads (n = 171) were recruited from oncology clinics in Virginia and Pennsylvania and followed for 2 years. Multi-level models were developed to examine the associations between presence of a secondary caregiver and the primary caregivers’ well-being. Results Most (64.9%) primary caregivers reported having secondary caregivers. Multilevel models showed primary caregivers without help had higher baseline mental and physical health, but experienced deteriorating physical health overtime, compared to supported primary caregivers. Supported primary caregivers reported improvements in mental health over time that was associated with improvements in physical health. Conclusions Primary caregivers in good physical and mental health at the beginning of their caregiving journey but who have the least assistance from others may be at greatest risk for detrimental physical health effects long term. Attention to the arrangement of caregiving roles (i.e., who provides what care) overtime is needed to ensure that caregivers remain healthy and well supported.


2015 ◽  
Vol 4 (1) ◽  
pp. 21-41 ◽  
Author(s):  
Catherine M. Gaze ◽  
Rachel M. Reznik ◽  
Courtney Waite Miller ◽  
Michael E. Roloff

When individuals cannot resolve a disagreement in a single episode, the argument is likely to reoccur over time resulting in a serial argument. Prior research on serial arguing has shown that engaging in hostile communication during episodes and taking a resigned stance after episodes is detrimental to one’s physical health. This study investigates the mechanisms by which hostile communication and taking a resigned stance lead to negative outcomes in a sample of emerging adults. Mutual hostility is related to physical and mental health symptoms and this relationship is mediated by the degree to which the participants feel hyperaroused. Taking a resigned stance toward a serial argument with one’s parent is related to health symptoms and this relationship is mediated by the participants’ rumination after argumentative episodes.


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
B Chabanas ◽  
C Praznoczy ◽  
M Duclos

Abstract Background Active commuting such as cycling has been recommended as a practical way to increase population physical activity levels and improve health. Beside positive health effects observed in experimental studies, less is known about how e-bikes can improve public health outcomes in real-life settings. Objectives To describe the patterns over time in physical activity, sedentary behavior, cardiorespiratory fitness and psychophysiological well-being in a population of new commuter e-bike users. Methods This was a population-based prospective longitudinal study in France. 33 new users of e-bike were recruited and measured at 4-time points (T0, T1, T2, T3), from before the effective beginning of the e-bike use (T0) until a mean of 4.6 months of use (T3) (min: 3.2, max: 7). Repeated measures multilevel modeling was used on 4 waves of measurements to assess variations over time of e-bike use, total moderate and vigorous physical activity (MVPA) and total sedentary time (SED-time). Pre-post comparisons between T0 and T3 were performed to detect change in cardiorespiratory fitness, markers of adiposity, self-esteem, quality of life (SF12-v2), and physical activity motivations (EMAPS). Results Adherence to e-bike commuting was high and stable, with a mean of 82% (3%) of weekly use. Multilevel modeling indicated that MVPA followed a significant increasing curvilinear trajectory over time, plateauing after 90 days (+ 21 MET-h/week compared to mean T0 at 33 MET-h/week). No significant change was found in SED-time, averaging a mean of 8.6 hours/day. Greater adherence to using an e-bike was associated with greater increases in MVPA. Several markers of physical and mental health improved. Conclusions New commuter e-bike users undergo a significant increase in MVPA while being already at a high level before e-bike use onset. This increase in MVPA could be meaningful to attenuate detrimental effects of a persistent high sedentary behavior. Key messages MVPA significantly increases among new commuter e-bike users, along with improvements in physical and mental health. High SED-time is persistent, making increase in MVPA in a population with a moderately high initial level still crucial.


2021 ◽  
Vol 75 (Supplement_2) ◽  
pp. 7512505178p1-7512505178p1
Author(s):  
Buwen Yao ◽  
Sandy Takata ◽  
Shawn C. Roll

Abstract Date Presented Accepted for AOTA INSPIRE 2021 but unable to be presented due to online event limitations. We examined the relationships between participation in different extracurricular activities and the overall physical and mental health in college students across a 2-year period. Participation in certain occupations was associated with positive mental health, whereas other occupations were linked to poorer physical health. Exploration and promotion of participation in extracurricular occupations should be considered to support student health. Primary Author and Speaker: Buwen Yao Contributing Authors: Sandy Takata, Shawn C. Roll


2021 ◽  
Vol 30 (3) ◽  
pp. 176-184
Author(s):  
Bernadette Mazurek Melnyk ◽  
Alai Tan ◽  
Andreanna Pavan Hsieh ◽  
Kate Gawlik ◽  
Cynthia Arslanian-Engoren ◽  
...  

Background Critical care nurses experience higher rates of mental distress and poor health than other nurses, adversely affecting health care quality and safety. It is not known, however, how critical care nurses’ overall health affects the occurrence of medical errors. Objective To examine the associations among critical care nurses’ physical and mental health, perception of workplace wellness support, and self-reported medical errors. Methods This survey-based study used a cross-sectional, descriptive correlational design. A random sample of 2500 members of the American Association of Critical-Care Nurses was recruited to participate in the study. The outcomes of interest were level of overall health, symptoms of depression and anxiety, stress, burnout, perceived worksite wellness support, and medical errors. Results A total of 771 critical care nurses participated in the study. Nurses in poor physical and mental health reported significantly more medical errors than nurses in better health (odds ratio [95% CI]: 1.31 [0.96-1.78] for physical health, 1.62 [1.17-2.29] for depressive symptoms). Nurses who perceived that their worksite was very supportive of their well-being were twice as likely to have better physical health (odds ratio [95% CI], 2.16 [1.33-3.52]; 55.8%). Conclusion Hospital leaders and health care systems need to prioritize the health of their nurses by resolving system issues, building wellness cultures, and providing evidence-based wellness support and programming, which will ultimately increase the quality of patient care and reduce the incidence of preventable medical errors.


2018 ◽  
Vol 24 (4) ◽  
pp. 621-639 ◽  
Author(s):  
Ashleigh Coser ◽  
Kelley J. Sittner ◽  
Melissa L. Walls ◽  
Tina Handeland

American Indian (AI) communities experience a disproportionate rate of Type 2 diabetes (T2D) and cumulative exposure to stress. Although this link is well researched among various populations, it has not been examined among AI communities. Path analysis was used to examine a multiple-mediator model to explain how caregiver stress influences self-reported mental and physical health among 100 AI participants with T2D. Caregiver stress was negatively associated with physical and mental health. Physical health was positively associated with family/community connectedness and mental health was positively associated with both family support and connectedness. The relationship between caregiver stress and mental health was partially mediated by family/community connectedness; caregiver stress had no indirect effects on physical health via either hypothesized mediator. Findings demonstrate the importance of integrating individuals’ connection to family and community and its influence on caregiver stress and mental health in intervention programs targeting diabetes management and care among AI communities.


2021 ◽  
Vol 12 ◽  
Author(s):  
Jon Dyg Sperling ◽  
Nina Dalkner ◽  
Christina Berndt ◽  
Eva Fleischmann ◽  
Michaela Ratzenhofer ◽  
...  

Background: The COVID-19 pandemic has led to an increased psychological strain on public mental health and may impact behavioral, mental, and physical health, presumably with effects on patients with severe mental disorders. This study examines pandemic-related physical and mental health and (compensatory) behavioral changes, in patients with BD as compared to healthy control individuals.Method: Physical and mental health and self-reported changes in daily structure and behavior due to the pandemic were assessed using a self-constructed questionnaire and the brief symptom inventory (BSI) in Germany, Austria, and Denmark in individuals with BD and a healthy control group.Results: The present study included 118 individuals with BD and 215 healthy controls. Individuals with BD reported statistically significant higher physical risk burden, increased weight gain, more physical comorbidities, and a decrease in physical activity and they further reported higher rates of COVID-19 testing, had more worries concerning health, and experienced more anxiety but less social distancing.Conclusion: The COVID-19 pandemic seems to have a greater impact on physical health in individuals with BD than in healthy controls. Individuals with BD appear to be having more difficulties compensating their behavior due to the pandemic which could amplify the effect of risk factors associated with poorer physical health. This highlights the necessity for optimizing and targeting the overall treatment of both mental and physical health in patients with BD during periods with far-reaching changes such as the COVID-19 pandemic.Limitations: Sampling issues and self-report forms, selectivity (missing elderly, and those lacking access or knowledge of technology).


2021 ◽  
Vol 7 (3) ◽  
pp. 302-312
Author(s):  
KS Oritogun ◽  
OO Oyewole

Background: Stroke is one of the major public health problems worldwide. Physical and mental health data of stroke survivors are often expressed in proportions. Therefore, the Beta Regression models family for data between zero and one will be appropriate. Objectives: To identify a suitable model and the likely risk factors of physical and mental health of stroke survivors. Method: Secondary data of stroke survivors from two tertiary health Institutions in Ogun State, Nigeria, were analysed. Inflated Beta (BEINF) and Inflated-at-one-Beta (BEINF1) models were compared using Deviance (DEV), Akaike Information Criterion (AIC) and Bayesian Information Criteria (BIC) for model selection. The model with minimum DEV, AIC and BIC was considered to be better. Results: The deviance (-86.0604,), AIC (-46.0604) and BIC (6.4391) values of the BEINF1 model for physical health and the deviance (-20.1217), AIC (19.8783) and BIC (72.3778) values of BEINF1 model for mental health were smaller than BEINF models. Therefore, BEINF1 was the better model to identify the health risk factors of stroke survivors. Age, marital status, diastolic blood pressure, disability duration and systolic blood pressure had a significant association with physical health, while BMI had a significant positive association with mental health.  Conclusion: The beta-inflated-at-one (BEINF1) model is suitable for identifying health risk factors of stroke survivors when the outcome variable is a proportion. Both demographic and clinical characteristics were significantly associated with the health of stroke survivors. This study would assist researchers in knowing the appropriate model for analysing proportion or percentage response variables.


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