scholarly journals Factors Affecting Self-Care Among Hypertensive Older Adults Dwelling in the Community: A Cross-Sectional Study

Author(s):  
Soo Youn Jung ◽  
Kyoung Ja Moon

Abstract Background: Hypertension is a prevalent health problem in older adults, with better outcomes expected through proper self-care. However, little is known about the effects of cognitive function level on self-care in older adults living in the community. Methods: This cross-sectional study, conducted from October 2019 to January 2020, analyzed the effect of cognitive function on self-care in elderly individuals aged > 65 years with hypertension who visited a local general hospital for the treatment of hypertension. The Korean versions of the Mini-Mental State Examination (K-MMSE) and Montreal Cognitive Assessment (MoCA-K) were used to assess cognitive function. The Hypertension Self-Care Behavior Scale (HBP-SC Behavior Scale) was used to analyze the subjects’ self-care, which was divided into diet behavior and health behavior (except diet). The general characteristics and degrees of self-care of the subjects were analyzed using descriptive statistics, and multiple regression analysis was used to analyze the factors affecting self-care. Results: Factors influencing HBP-SC diet behavior scores were religion (β =.27, SE = 0.69, p =.007) and MoCA-K scores (β =.31, SE = 0.08, p = .002). HBP-SC health behavior (except diet) scores were associated with comorbidities (β = −.20, SE = 0.60, p = .032), and the power of the model was 20%. However, there were no variables that significantly affected the total HBP-SC score, which included the diet behavior and health behavior (except diet) scores. Conclusions: Although there was no significant factor influencing the total HBP-SC score, religion, MoCA-K scores, and comorbidities were factors influencing diet behavior and health behavior (except diet). Therefore, tailored education takes into account religion, MoCA-K domains, and comorbidities is necessary to promote self-care in hypertensive older adults.

2021 ◽  
Author(s):  
WEN HAO ◽  
Wenjing Zhao ◽  
Takashi Kimura ◽  
Shigekazu Ukawa ◽  
Ken Kadoya ◽  
...  

Abstract Background: Gait is associated with cognitive function and is a trait marker of dementia; however, research on gait and cognitive function usually concentrates on several individual gait parameters. This study used wearable sensors to measure gait parameters in different aspects and comprehensively explored the association of gait with global cognitive function and domain-specific cognitive function.Methods: The data of this cross-sectional study were obtained from 236 community-dwelling Japanese older adults (125 men and 111 women) aged 70–81 years. Gait was measured by asking participants to walk a 6-meter course and back using the Physilog® sensors (GaiUp®, Switzerland). Global cognitive function and cognitive domains were evaluated by face-to-face interviews using the Japanese version of the Montreal Cognitive Assessment. Twenty gait parameters were summarized as independent gait factors using factor analysis. A generalized linear model and linear regression model were used to explore the relationship of gait with global cognitive function and domain-specific cognitive function adjusted for several confounding factors.Results: Factor analysis yielded four gait factors: general cycle, initial contact, propulsion, and mid-swing. Among them, general cycle factor was significantly associated with global cognitive function (β=-0.565, [-0.967, -0.163]), executive function (P=0.012), and memory (P=0.045); initial contact was associated with executive function (P=0.019).Conclusion: Better gait was related to better cognitive function, especially the general cycle, which was correlated with both global and domain-specific cognitive function. The predictive value should be examined in future cohort studies.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Karen D. Mumme ◽  
Pamela R. von Hurst ◽  
Cathryn A. Conlon ◽  
Beatrix Jones ◽  
Crystal F. Haskell-Ramsay ◽  
...  

2017 ◽  
Author(s):  
J. Lucas McKay ◽  
Kimberly C. Lang ◽  
Lena H. Ting ◽  
Madeleine E. Hackney

AbstractINTRODUCTION. Individuals with Parkinson’s disease (PD) are at increased risk for falls, and exhibit deficits in executive function, including Set Shifting, which can be measured as the difference between parts B and A of the Trailmaking Test. METHODS. We conducted a cross-sectional study using baseline data of PD patients with and without freezing of gait (FOG) (n=69) and community-dwelling neurologically-normal older adults (NON-PD) (n=84) who had volunteered to participate in clinical rehabilitation research. Multivariate logistic regression analyses were performed to determine associations between Set Shifting, PD, and faller status, as determined by ≥1 self-reported falls in the previous 6 months, after adjusting for demographic and cognitive factors and clinical disease characteristics. RESULTS. Impaired Set Shifting was associated with previous falls after controlling for age, sex, overall cognitive function, PD, FOG, and PD disease duration (OR=1.29 [1.03-1.60]; P=0.02). In models controlling for age, sex, and overall cognitive function, PD was associated with increased fall prevalence among the study sample (OR=4.15 [95% CI 1.65-10.44], P<0.01) and FOG was associated with increased fall prevalence among the PD sample (OR=3.63 [1.22-10.80], P=0.02). Although the strongest associations between Set Shifting and falling were observed among PD without FOG (OR=2.11) compared to HOA (OR=1.14) and PD with FOG (OR=1.46) in a multivariate model that allowed for interaction between set shifting and PD status, there was insufficient evidence to reject the null hypothesis of no interaction. CONCLUSIONS. Set Shifting is associated with previous falls in non-demented older adults with and without PD.HighlightsIndividuals with PD are at increased risk for falls, although causes are unclear.Impaired Set Shifting was associated with falls in older adults with and without PD.Associations were strongest among those with PD but without freezing of gait.


2017 ◽  
Vol 23 ◽  
pp. 36-42 ◽  
Author(s):  
Mohammed Alarabi ◽  
Abdullah Al-Turki ◽  
Mohammed Mahasin ◽  
Abdulrahman Al-Sehly ◽  
Faisal Al-Dawood ◽  
...  

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