scholarly journals Daily lifestyle behaviors and risks of sarcopenia among older adults

2020 ◽  
Vol 78 (1) ◽  
Author(s):  
Pei-Lin Tzeng ◽  
Chien-Yu Lin ◽  
Ting-Fu Lai ◽  
Wan-Chi Huang ◽  
Evonne Pien ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sleep Duration ◽  
Food Selection ◽  
Binary Logistic Regression ◽  
Personal Characteristics ◽  
Sitting Time ◽  
Lifestyle Behaviors ◽  
Logistic Regression Models ◽  
Modifiable Factors

Abstract Background Lifestyle behaviors are modifiable factors that can provide information for designing intervention strategies for sarcopenia. The present study aimed to identify the relationships between a range of daily lifestyle behaviors and sarcopenia risks among older adults. Methods A nationwide telephone-based survey targeting older adults (≥65 years) was performed in Taiwan. Data based on self-reported daily lifestyle behaviors (food selection, physical activity, sitting time, and sleep duration), the presence or absence of sarcopenia (measured by SARC-F), and personal characteristics were obtained. Binary logistic regression models were applied. Results A total of 1068 older adults participated in this survey. In the adjusted model, older adults who selected unbalanced foods (odds ratio [OR] = 1.93, 95% confidence interval [CI] = 1.12–3.34), engaged in insufficient physical activity (OR = 5.14, 95% CI = 3.04–8.70), and sat for longer periods of time (OR = 1.98, 95% CI = 1.09–3.59) were more likely to have higher risks of sarcopenia. No significant association was observed for sleep duration. Conclusions The results of this study highlight that, among health behaviors, an unbalanced food selection (six nutrients), not meeting physical activity recommendations (150 min/week), and a higher sitting time (≥7 h/day) were risk factors for sarcopenia among older adults. Intervention programs for sarcopenia prevention in older adults should focus on promoting balanced food selection, sufficient physical activity, and reduced sitting time.

Physical Activity Frequency Among Older Adults With Diabetes or Prediabetes: Associations With Sociodemographics, Comorbidity, and Medical Advice

2020 ◽  
Vol 28 (4) ◽  
pp. 641-651
Author(s):  
Namkee G. Choi ◽  
Diana M. DiNitto ◽  
John E. Sullivan ◽  
Bryan Y. Choi
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Weight Loss ◽  
Health Care Providers ◽  
Binary Logistic Regression ◽  
Medical Advice ◽  
Care Providers ◽  
Logistic Regression Models ◽  
Activity Frequency ◽  
Patients With Diabetes

To examine the differences in physical activity (PA) between older adults with and without diabetes/prediabetes and the correlates of PA frequency and associations between medical advice on PA and/or diet/weight loss and increasing PA among those with diabetes/prediabetes. Multinomial and binary logistic regression models using 2016–2017 National Health Interview Survey data (N = 4,860 aged 65+ years with diabetes/prediabetes). About 44.2% of those with diabetes/prediabetes, compared with 48.1% of a matched sample without, engaged in any PA three plus times a week. The low PA group (PA frequency was zero to two times a week) was more socioeconomically disadvantaged and had more chronic illnesses than the medium (three to four times a week) or high (five plus times a week) PA groups. Any PA and/or diet/weight loss medical advice was associated with two to three times higher odds of increasing PA. Health care providers should consider prescribing PA and/or diet/weight loss for patients with diabetes/prediabetes.

THE ASSOCIATION BETWEEN PHYSICAL ACTIVITY AND SELF-REPORTED HEALTH IN OLDER ADULTS: LESSONS IMPLIED BY LIFESTYLE FACTORS

2020 ◽  
pp. 289-298
Author(s):  
N. Asiamah ◽  
C. Petersen ◽  
K. Kouveliotis ◽  
R. Eduafo ◽  
R. Borkey
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Older People ◽  
Binary Logistic Regression ◽  
Personal Characteristics ◽  
Good Health ◽  
Lifestyle Factors ◽  
Chi Square ◽  
Chi Square Test ◽  
Reported Health

Доказано, что физическая активность (ФА) связана с самооценкой здоровья, но в исследования, подтверждающие эти данные, не были включены некоторые существенные независимые переменные, особенно те, которые относятся к африканской выборке. В этом исследовании изучали связь между ФА и самооценкой здоровья, с соответствующими факторами образа жизни, сопутствующими заболеваниями и индивидуальными характеристиками, которые рассматривали как независимые переменные в ходе данной оценки. В исследование были включены люди, которые уже вышли на пенсию, а также те, кто продолжают работать в возрасте 60 лет и старше (Аккра, Гана). В общей сложности на анкету-опросник ответили 686 человек. Для представления результатов использовали критерии Пирсона и бинарную логистическую регрессию. Наши данные показали, что люди пожилого возраста, которые занимались умеренной ФА более 60 мин за 7 занятий (OR=7,41; р =0,000), с большей вероятностью сообщали о хорошем здоровье по сравнению с теми, у которых ФА занимала менее 30 мин. Точно так же, те, кто занимался активной ФА в течение 60 мин или более за 5 занятий (OR=4,52; р =0,003), с большей вероятностью сообщали о хорошем здоровье по сравнению с теми, у которых ФА занимала менее 30 мин. Был сделан вывод, что ФА улучшает самооценку здоровья, если люди пожилого возраста стараются избегать сидячего образа жизни, снижают частоту курения и изменяют свой рацион питания, но наша независимая переменная корректировка предполагает, что употребление алкоголя обязательно ухудшает самооценку здоровья. Physical activity (PA) has been evidenced to be associated with self-reported health, but studies providing this evidence have failed to incorporate some relevant covariates, especially those pertinent to an African sample. This study examined the association between PA and self-reported health, with relevant lifestyle factors, comorbidities, and personal characteristics treated as covariates in this assessment. The study population was retired and working older people aged 60 years or more in Accra, Ghana. A total of 686 individuals responded to self-reported questionnaires. Pearson’s chi-square test and binary logistic regression were used to present findings. Our data indicated that older adults who participated in moderate PA for more than 60 minutes were 7 times (OR=7,41; p =0,000) more likely to report good health compared with those who were active for less than 30 minutes. Similarly, those who participated in vigorous PA for 60 or more minutes were 5 times (OR=4,52; p =0,003) more likely to report good health compared with those who were active for less than 30 minutes. It is concluded that PA is likely to better enhance self-reported health when older people avoid sedentary behaviour, reduce their frequency of smoking, and modify their diet, but our covariate adjustment suggests that alcohol intake does not necessarily mar self-reported health.

scholarly journals Associations between objectively measured physical activity, sedentary behaviour and time in bed among 75+ community-dwelling Danish older adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li-Tang Tsai ◽  
Eleanor Boyle ◽  
Jan C. Brønd ◽  
Gry Kock ◽  
Mathias Skjødt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
Activity Level ◽  
Time In Bed ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Vector Magnitude

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.

scholarly journals Efficacy of a computer-tailored web-based physical activity intervention using Fitbits for older adults: a randomised controlled trial protocol

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e033305 ◽  
Author(s):  
Stephanie Alley ◽  
Jannique GZ van Uffelen ◽  
Stephanie Schoeppe ◽  
Lynne Parkinson ◽  
Susan Hunt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Physical Activity Intervention ◽  
Sitting Time ◽  
Intervention Fidelity ◽  
Web Based ◽  
Participant Satisfaction ◽  
Website Usability ◽  
Secondary Outcomes ◽  
Tailored Advice

IntroductionPhysical activity is an integral part of healthy ageing, yet the majority of older adults 65+ years are not sufficiently active. Web-based physical activity interventions hold much promise to reach older adults. Preliminary evidence suggests that web-based interventions with tailored advice and Fitbits may be well suited for older adults.Methods and analysisThis study aims to test the effectiveness of ‘Active for Life’, a 12-week computer-tailored web-based physical activity intervention using Fitbits for older adults. We will recruit 300 participants who will be randomly assigned to one of three trial arms: (1) web-based physical activity intervention with tailored advice only, (2) web-based physical activity intervention with tailored advice and Fitbit or (3) a wait-list control. The primary outcome, objective moderate to vigorous physical activity (MVPA) and secondary outcomes of objective sedentary behaviour, objective sleep, quality of life, social support, physical function and satisfaction with life will be assessed at baseline and week 12. The secondary outcomes of self-reported physical activity, sitting time and sleep will be assessed at baseline, week 6, 12 and 24. Website usability and participant satisfaction will be assessed at week 12 and website usage and intervention fidelity will be assessed from week 1 to 24. Intention-to-treat linear mixed model analyses will be used to test for group (tailoring only, tailoring +Fitbit, control) differences on changes in the main outcome, MVPA and secondary outcomes. Generalised linear models will be used to compare intervention groups (tailoring only, tailoring +Fitbit) on website usability, participant satisfaction, website usage and intervention fidelity.Ethics and disseminationThe study has received ethics approval from the Central Queensland University Human Research Ethics Committee (H16/12-321). Study outcomes will be disseminated through peer-reviewed publications and academic conferences and used to inform improvements and dissemination of a tailored, web-based physical activity intervention for adults 65+ years.Trial registration numberAustralian and New Zealand Clinical Trials Registry Number: ACTRN12618000646246

Behavioral Correlates of Depression Among Adults with Visual Impairments

2021 ◽  
pp. 0145482X2110466
Author(s):  
Justin A. Haegele ◽  
Xihe Zhu ◽  
Sean Healy
Keyword(s):  
Physical Activity ◽  
Visual Impairment ◽  
Sleep Duration ◽  
Visual Impairments ◽  
The United States ◽  
Sitting Time ◽  
Hierarchical Regression ◽  
Regression Analyses ◽  
The Impact ◽  
Negative Predictor

Introduction: This study sought to examine: (a) the associations between physical activity, sedentary time, and sleep duration, as discrete behaviors, with depression among adults with visual impairments; and (b) the impact of meeting none, one, two, or three of the guidelines for these behaviors on depression among adults with visual impairments. Materials: One hundred eighty-two ( Mage = 44.8) adults with visual impairments, recruited via email through two visual impairment organizations in the United States, completed the International Physical Activity Questionnaire–Short Form, a sleep duration question, the Major Depression Inventory, and a demographic questionnaire. Based on results from the questionnaires, dichotomous variables for meeting or not meeting physical activity, sleep, and sitting guidelines were created. Data were analyzed using three components: a descriptive analysis, Pearson product-moment correlation analyses, and hierarchical regression analyses. Results: Overall, 14.8% of participants were categorized as having some degree of depression. Meeting the sleep guideline was a significant negative predictor of depression scores in the hierarchical regression analyses. The number of guidelines met was a negative predictor for depression score controlling for other variables. Discussion: Adequate sleep, as well as meeting all three guidelines synergistically, was meaningful in influencing depression among this population. The current study’s results should prompt the continued examination of health-behaviors among adults with visual impairment using a more holistic 24-hour activity cycle framework. Implications for practitioners: This study supports the utilization of multi-behavioral interventions to reduce the risk of depression by enhancing physical activity and sleep, while reducing sitting time, among this population.

Changes in Health-Related Quality of Life and Physical Activity Among Older Adults in the First-Wave COVID-19 Outbreak: A Longitudinal Analysis

2021 ◽  
pp. 1-8
Author(s):  
Rosiane Jesus do Nascimento ◽  
Valter Cordeiro Barbosa Filho ◽  
Cassiano Ricardo Rech ◽  
Rafaela Batista Brasil ◽  
Renato Campos Junior ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Older Adults ◽  
Short Form ◽  
Daily Physical Activity ◽  
Sitting Time ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

The current study aimed to follow the effects of social/physical distancing strategies on health-related daily physical activity and quality of life among older adults during the COVID-19 pandemic. Seventy-two older adults who were enrolled in a University–Community program in March 2020 (age = 66.8 ± 4.82 years, ♀59) answered five phone-based surveys up to 120 days after the COVID-19 outbreak (from April to August 2020). The Short Form 6D and international physical activity (short version) questionnaires were applied. A significant reduction was observed in daily physical activity levels, metabolic equivalent of task, and health-related quality of life scores as well as an increase in sitting time during the week and on weekend days (all p < .01). The authors noted differences in lifestyle conditions at the beginning of the social/physical distancing in the community assessed (p < .01). Health vulnerabilities among older adults have been emphasized during the COVID-19 outbreak, impacting daily physical activity and health-related quality of life.

Abstract P176: Moderate Physical Activity and Sleep Duration as Predictors of Cognitive Function in Older Adults With Hypertension: NHANES 2011-2014

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Nicole Hoffmann ◽  
Megan E Petrov
Keyword(s):  
Physical Activity ◽  
Cognitive Function ◽  
Sleep Duration ◽  
Cognitive Outcomes ◽  
Moderate Physical Activity ◽  
Digit Symbol Substitution Test ◽  
Lifestyle Behaviors ◽  
Hypertension Status ◽  
Increased Risk ◽  
Symbol Substitution

Introduction: Hypertension is associated with increased risk for cognitive decline. Lifestyle behaviors such as moderate physical activity (MPA) and adequate sleep duration may mitigate this decline, though limited research exists. The aim of the study was to examine the joint association of MPA and sleep duration on cognitive function by hypertension status. Methods: Adults (n=2976, ≥60yrs) from the 2011-2014 National Health and Nutrition Examination Survey (NHANES) were assessed for their habitual sleep duration (<7, 7-8.9, ≥9hr) , self-reported participation in regular MPA (yes/no), reported physician-diagnosed hypertension (yes/no), and cognitive function (Digit Symbol Substitution Test [DSST]; Animal Fluency test). Weighted linear regression analyses were conducted to assess joint association of sleep duration and MPA on cognitive function, and test the modifying effect of hypertension status (alpha level set at 0.1) after adjustment for demographics. Results: See Table. There were significant main effects for combined MPA and sleep duration on DSST (Wald F (5,28)=5.33, p =.001) and Animal Fluency (Wald F (5,28)=2.58, p =.05). Participants who did not engage in MPA regardless of sleep duration had significantly worse cognitive function compared to participants who engaged in MPA and obtained 7-8.9hr sleep. There was a significant interaction between MPA-sleep duration groups and hypertension status on DSST (Wald F (5,28)=2.42, p =.06), but not on Animal Fluency. Stratified analyses indicated among individuals with hypertension the buffering effect of MPA regardless of sleep duration was maintained, but not for individuals without hypertension. Conclusions: In a sample of adults, regular MPA predicted better cognitive outcomes regardless of sleep duration. Among individuals with hypertension regular MPA regardless of sleep duration was significantly associated with better executive function, but no such association was found among individuals without hypertension.

scholarly journals Prevalence and factors associated with active transportation to school for adolescents

2020 ◽  
Vol 54 ◽  
pp. 78
Author(s):  
Edina Maria De Camargo ◽  
Michael Pereira da Silva ◽  
Jorge Mota ◽  
Wagner De Campos
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Public Schools ◽  
Psychosocial Factors ◽  
Binary Logistic Regression ◽  
Active Transportation ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
The Social ◽  
Parental Schooling

OBJECTIVE: To verify the prevalence and factors associated with active transportation to school (ATS) among Brazilian adolescents attending public schools. METHODS: Crossectional study with a representative sample of 1,984 adolescents (55.9% girls). Sociodemographic variables included were: gender, age, parental schooling, and socioeconomic status. Psychosocial factors included were: social support from parents and friends for physical activity. Walking, cycling, or skateboarding to school were considered models of active transportation. Binary logistic regression models verified sociodemographic and psychosocial factors association with ATS, adopting p < 0.05. RESULTS: The prevalence of active transportation to school was 37.7% (16.2% boys and 21.5% girls). For boys, ATS was associated with: social support from parents in practicing physical activity together as a family (OR = 1.57; 95%CI 1.09–2.25), giving them rides (OR = 1.56; 95%CI 1.04–2.32), and remarking their good performance on it (OR = 1.73; CI95 1.08–2.76); as well as the social support from friends in practicing physical activity together (OR = 2.23; 95%CI 1.35–3.69). For girls, the likelihood of using ATS increased with age (OR = 1.43; 95%CI 1.06–1.92) and having friends who practice physical activity together with them (OR = 1.48, 95%CI 1.04–2.10). CONCLUSION: Age and social support for physical activity were associated with ATS. Parents who practice together, give rides, and remark on physical activities increase the likelihood of adolescent boys using ATS. Social support from friends to physical activity increased the likelihood of both genders using ATS.

scholarly journals Walk Score® and Its Associations with Older Adults’ Health Behaviors and Outcomes

2019 ◽  
Vol 16 (4) ◽  
pp. 622 ◽  
Author(s):  
Yung Liao ◽  
Chien-Yu Lin ◽  
Ting-Fu Lai ◽  
Yen-Ju Chen ◽  
Bohyeon Kim ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Health Behaviors ◽  
Health Outcomes ◽  
Sedentary Time ◽  
Smoking Status ◽  
Lifestyle Behaviors ◽  
Tv Viewing ◽  
Health Lifestyle ◽  
Walk Score

This study aimed to investigate the associations between Walk Score® and lifestyle behaviors and health outcomes in older Taiwanese adults. A nationwide survey was conducted through telephone-based interviews with older adults (65 years and older) in Taiwan. Data on Walk Score®, lifestyle behaviors (physical activity, sedentary behavior, healthy eating behavior, alcohol use, and smoking status), health outcomes (overweight/obesity, hypertension, type 2 diabetes, and cardiovascular disease), and personal characteristics were obtained from 1052 respondents. A binary logistic regression adjusting for potential confounders was employed. None of the Walk Score® categories were related to the recommended levels of total physical activity. The categories “very walkable” and “walker’s paradise” were positively related to total sedentary time and TV viewing among older adults. No significant associations were found between Walk Score® and other lifestyle health behaviors or health outcomes. While Walk Score® was not associated with recommended levels of physical activity, it was positively related to prolonged sedentary time in the context of a non-Western country. The different associations between the walk score and health lifestyle behaviors and health outcomes in different contexts should be noted.

scholarly journals Are Area-Level Crimes Associated with Older Adults’ Physical Activity and Sedentary Behavior?

2019 ◽  
Vol 11 (9) ◽  
pp. 2454
Author(s):  
Chien-Yu Lin ◽  
Jong-Hwan Park ◽  
Ming-Chun Hsueh ◽  
Ting-Fu Lai ◽  
Yung Liao
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Binary Logistic Regression ◽  
Sociodemographic Factors ◽  
Behavior Interventions ◽  
Drug Crime ◽  
Residential Neighborhood ◽  
Crime Incidence

There is limited evidence for the associations of area-level crime with older adults’ physical activity and sedentary behavior, especially in Asia. This study explored the association of area-level crime with older adults’ active and sedentary behavior. A telephone-based survey of Taiwanese seniors was conducted in September–November of 2017. Data related to sociodemographic factors, residential neighborhood (objectively recorded area-level crime incidence), and time spent in physical activity and sedentary behavior, were obtained from 1068 older adults. Adjusted binary logistic regression was analyzed. Fully adjusted analyses showed older adults living in neighborhoods with a higher incidence of drug crime (odds ratio, OR = 0.71, 95% confidence interval, CI = 0.52–0.96), car theft (OR = 0.70, 95% CI 0.51–0.95), and locomotive theft (OR = 0.69, 95% CI 0.51–0.94) were found to be less likely to achieve the recommendation on physical activity. In addition, those living in neighborhoods with a higher incidence of theft (OR = 1.93, 95% CI 1.05–3.55), drug crime (OR = 1.93, 95% CI 1.05–3.55), breaking and entering (OR = 2.04, 95% CI 1.11–3.76), and rape (OR = 2.20, 95% CI 1.20–4.06) were more likely to have more sedentary time. There were sex differences in the association of area-level crime incidence with physical activity and sedentary behavior. These findings suggest that crime prevention should be considered when designing physical activity and sedentary behavior interventions for older adults.

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