scholarly journals The association between dietary protein intake, energy intake and physical frailty: results from the Rotterdam Study

2019 ◽  
Vol 121 (4) ◽  
pp. 393-401 ◽  
Author(s):  
Josje D. Schoufour ◽  
Oscar H. Franco ◽  
Jessica C. Kiefte-de Jong ◽  
Katerina Trajanoska ◽  
Bruno Stricker ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Intake ◽  
Protein Intake ◽  
Multinomial Logistic Regression ◽  
Large Population ◽  
Population Based ◽  
Rotterdam Study ◽  
Physical Frailty ◽  
Frailty Phenotype ◽  
Logistic Regression Models

AbstractSufficient protein intake has been suggested to be important for preventing physical frailty, but studies show conflicting results which may be explained because not all studies address protein source and intake of other macronutrients and total energy. Therefore, we studied 2504 subjects with data on diet and physical frailty, participating in a large population-based prospective cohort among subjects aged 45+ years (the Rotterdam Study). Dietary intake was assessed with a FFQ. Frailty was defined according to the frailty phenotype as the presence of at least three out of the following five symptoms: weight loss, low physical activity, weakness, slowness and fatigue. We used multinomial logistic regression models to evaluate the independent association between protein intake and frailty using two methods: nutrient residual models and energy decomposition models. With every increase in 10 g total, plant or animal protein per d, the odds to be frail were 1·06 (95 % CI 0·98, 1·15), 0·87 (95 % CI 0·71, 1·07) and 1·07 (95 % CI 0·99, 1·15), respectively, using the nutrient residual method. Using the energy partition model, we observed that the odds to be frail were lower with higher vegetable protein intake (OR per 418·4 kJ (100 kcal): 0·61, 95 % CI 0·39, 0·97), however, results disappeared when adjusting for physical activity. For energy intake from any source we observed that with every 418·4 kJ (100 kcal) increase, the odds to be frail were 5 % lower (OR: 0·95, 95 % CI 0·93, 0·97). Our results suggest that energy intake, but not protein specifically, is associated with less frailty. Considering other macronutrients, physical activity and diet quality seems to be essential for future studies on protein and frailty.

scholarly journals Frequency of Seeing People Walk and Aerobic Physical Activity Among Latino Adults

2020 ◽  
Vol 17 (2) ◽  
pp. 211-216 ◽  
Author(s):  
Rosenda Murillo ◽  
Pooja Agrawal ◽  
Sheila Berenji-Jalaei ◽  
Elizabeth Vasquez ◽  
Sandra Echeverria
Keyword(s):  
Physical Activity ◽  
Multinomial Logistic Regression ◽  
Neighborhood Context ◽  
Cross Sectional ◽  
Latino Men ◽  
Behavioral Norms ◽  
Logistic Regression Models ◽  
Aerobic Activity ◽  
Interview Survey ◽  
Racial Ethnic

Background: Little research has examined gender differences in the association of seeing others exercise, in the neighborhood context, with physical activity, particularly for diverse racial/ethnic groups. The authors examined the association between frequency of seeing people walk and aerobic activity by gender among Latinos. Methods: The authors used cross-sectional 2015 National Health Interview Survey data on Latino participants ≥18 years (n = 5147). Multinomial logistic regression models estimated the association between seeing people walk and level of aerobic physical activity. Results: Men reporting seeing people walk every 2 to 3 days and every day were more likely to meet the aerobic activity recommendation (odds ratio [OR] 2.02; 95% confidence interval [CI], 1.05–3.89 and OR 1.96; 95% CI, 1.23–3.14, respectively). Among women, those seeing people walk every day and every 2 to 3 days were likely to engage in some aerobic activity (OR 1.88; 95% CI, 1.26–2.80 and OR 2.16; 95% CI, 1.23–3.18, respectively) and meet the recommendation (OR 1.73; 95% CI, 1.24–2.42 and OR 1.66; 95% CI, 1.03–2.67, respectively). Women seeing people walk about once a week were also likely to engage in some activity (OR 3.06; 95% CI, 1.59–5.89). Conclusions: Among Latino men and women, seeing people walk is associated with meeting the aerobic activity guideline. Results suggest that adoption of physical activity may in part be driven by neighborhood-level behavioral norms and by inference characteristics of the neighborhood that support walking.

scholarly journals Trajectories and Determinants of Physical Activity during COVID-19 Pandemic: A Population-Based Study of Middle-Aged and Elderly Individuals in The Netherlands

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 3832
Author(s):  
Amy Hofman ◽  
Marlou A. M. Limpens ◽  
Tosca O. E. de Crom ◽  
Mohammad Arfan Ikram ◽  
Annemarie I. Luik ◽  
...  
Keyword(s):  
Physical Activity ◽  
The Netherlands ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Public Health Problem ◽  
Population Based ◽  
World Health ◽  
Major Public Health Problem ◽  
Middle Aged ◽  
Health Organization

Physical inactivity is a major public health problem, and there are concerns this might have increased during the COVID-19 pandemic. We aimed to identify distinct trajectories of physical activity over a 6-week period after the first restrictive measures and to explore determinants of these trajectories in a population-based cohort of middle-aged and elderly in the Netherlands (n = 5777). We observed that at least 59% of participants did not meet the World Health Organization recommendations for physical activity. Using latent class trajectory analyses over three time points, we identified five distinct trajectories, including four steady trajectories at different levels (very low, low, medium and high) and one increasing trajectory. Using multinomial logistic regression analyses, we observed that, compared to the ‘steadily high’ trajectory, participants in the ‘steadily very low’ trajectory were more often older, lower educated, reporting poorer physical health, more depressive symptoms, consuming a less healthy diet, smoking, and lower alcohol use, and were less often retired. A similar pattern of determinants was seen for those in the increasing trajectory, albeit with smaller effect sizes. Concluding, we observed low levels of physical activity that generally remained during the pandemic. The determinants we described can help identify groups that require additional preventive interventions.

scholarly journals Parental health behaviour predictors of childhood and adolescent dietary trajectories

2018 ◽  
Vol 21 (10) ◽  
pp. 1874-1885 ◽  
Author(s):  
Constantine E Gasser ◽  
Fiona K Mensah ◽  
Susan A Clifford ◽  
Jessica A Kerr ◽  
Melissa Wake
Keyword(s):  
Physical Activity ◽  
Vegetable Consumption ◽  
Multinomial Logistic Regression ◽  
Health Behaviours ◽  
Population Based ◽  
Primary Caregiver ◽  
Unhealthy Food ◽  
Parental Health ◽  
Multivariable Analyses ◽  
Parental Alcohol

AbstractObjectiveTo determine which parental health behaviours early in childhood most strongly predict whole-of-childhood dietary trajectories.DesignPopulation-based Longitudinal Study of Australian Children (LSAC, waves 1–6; 2004–2014). Exposures were parents’ fruit/vegetable consumption, alcohol, smoking and physical activity at child age 0–1 years (B Cohort) or 4–5 years (K Cohort). Outcomes, from repeated biennial short diet diaries, were group-based trajectories of (i) dietary scores and empirically derived patterns of (ii) healthful and (iii) unhealthful foods consumed, spanning ages 2–3 to 10–11 years (B Cohort) and 4–5 to 14–15 years (K Cohort). We investigated associations of baseline parental health behaviours with child dietary trajectories using multinomial logistic regression.SettingAustralian homes.SubjectsOf children, 4443 (87·0 %) from the B Cohort and 4620 (92·7 %) from the K Cohort were included in all trajectories. Multivariable analyses included 2719 to 2905 children and both parents.ResultsChildren whose primary caregiver reported the lowest fruit/vegetable consumption had markedly higher odds of belonging to the least healthy score and pattern trajectories (K Cohort: OR=8·7, 95 % CI 5·0, 15·1 and OR=8·4, 95 % CI 4·8, 14·7, respectively); associations were weaker (K Cohort: OR=2·3, 95 % CI 1·0, 5·2) for the unhealthiest pattern trajectory. Secondary caregiver fruit/vegetable associations were smaller and inconsistent. Parental alcohol, smoking and physical activity were not predictive in multivariable analyses. Results were largely replicated for the B Cohort.ConclusionsLow primary caregiver fruit/vegetable consumption increased nearly ninefold the odds of children being in the lowest intake of healthy, but only weakly predicted unhealthy, food trajectories. Healthy and unhealthy food intake may have different determinants.

scholarly journals Physical activity types and atrial fibrillation risk in the middle-aged and elderly: The Rotterdam Study

2018 ◽  
Vol 25 (12) ◽  
pp. 1316-1323 ◽  
Author(s):  
Marijn Albrecht ◽  
Chantal M Koolhaas ◽  
Josje D Schoufour ◽  
Frank JA van Rooij ◽  
M Kavousi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Atrial Fibrillation ◽  
Proportional Hazards ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Total Physical Activity ◽  
Rotterdam Study ◽  
Cox Proportional Hazards Models ◽  
Activity Types ◽  
Study Population

Background The association between physical activity and atrial fibrillation remains controversial. Physical activity has been associated with a higher and lower atrial fibrillation risk. These inconsistent results might be related to the type of physical activity. We aimed to investigate the association of total and types of physical activity, including walking, cycling, domestic work, gardening and sports, with atrial fibrillation. Design Prospective cohort study. Methods Our study was performed in the Rotterdam Study, a prospective population-based cohort. We included 7018 participants aged 55 years and older with information on physical activity between 1997–2001. Cox proportional hazards models were used to examine the association of physical activity with atrial fibrillation risk. Models were adjusted for biological and behavioural risk factors and the remaining physical activity types. Physical activity was categorised in tertiles and the low group was used as reference. Results During 16.8 years of follow-up (median: 12.3 years, interquartile range: 8.7–15.9 years), 800 atrial fibrillation events occurred (11.4% of the study population). We observed no association between total physical activity and atrial fibrillation risk in any model. After adjustment for confounders, the hazard ratio and 95% confidence interval for the high physical activity category compared to the low physical activity category was: 0.71 (0.80–1.14) for total physical activity. We did not observe a significant association between any of the physical activity types with atrial fibrillation risk. Conclusion Our results suggest that physical activity is not associated with higher or lower risk of atrial fibrillation in older adults. Neither total physical activity nor any of the included physical activity types was associated with atrial fibrillation risk.

scholarly journals Dietary Protein, Exercise, and Frailty Domains

Nutrients ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2399 ◽  
Author(s):  
Josje D. Schoufour ◽  
Elvera Overdevest ◽  
Peter J. M. Weijs ◽  
Michael Tieland
Keyword(s):  
Physical Activity ◽  
Beneficial Effect ◽  
Dietary Protein ◽  
Protein Intake ◽  
Social Health ◽  
Physical Domain ◽  
Physical Frailty ◽  
Future Studies ◽  
Low Protein ◽  
The Impact

Increasing awareness of the impact of frailty on elderly people resulted in research focusing on factors that contribute to the development and persistence of frailty including nutrition and physical activity. Most effort so far has been spent on understanding the association between protein intake and the physical domain of frailty. Far less is known for other domains of frailty: cognition, mood, social health and comorbidity. Therefore, in the present narrative review, we elaborate on the evidence currently known on the association between protein and exercise as well as the broader concept of frailty. Most, but not all, identified studies concluded that low protein intake is associated with a higher prevalence and incidence of physical frailty. Far less is known on the broader concept of frailty. The few studies that do look into this association find a clear beneficial effect of physical activity but no conclusions regarding protein intake can be made yet. Similar, for other important aspects of frailty including mood, cognition, and comorbidity, the number of studies are limited and results are inconclusive. Future studies need to focus on the relation between dietary protein and the broader concept of frailty and should also consider the protein source, amount and timing.

scholarly journals Descriptive epidemiology of physical activity energy expenditure in UK adults (The Fenland study)

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Tim Lindsay ◽  
Kate Westgate ◽  
Katrien Wijndaele ◽  
Stefanie Hollidge ◽  
Nicola Kerrison ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Vigorous Physical Activity ◽  
Large Population ◽  
Population Based ◽  
Normal Weight ◽  
Physical Activity Energy Expenditure ◽  
Cardiometabolic Disorders ◽  
Sociodemographic Correlates ◽  
Activity Energy

Abstract Background Physical activity (PA) plays a role in the prevention of a range of diseases including obesity and cardiometabolic disorders. Large population-based descriptive studies of PA, incorporating precise measurement, are needed to understand the relative burden of insufficient PA levels and to inform the tailoring of interventions. Combined heart and movement sensing enables the study of physical activity energy expenditure (PAEE) and intensity distribution. We aimed to describe the sociodemographic correlates of PAEE and moderate-to-vigorous physical activity (MVPA) in UK adults. Methods The Fenland study is a population-based cohort study of 12,435 adults aged 29–64 years-old in Cambridgeshire, UK. Following individual calibration (treadmill), participants wore a combined heart rate and movement sensor continuously for 6 days in free-living, from which we derived PAEE (kJ•day− 1•kg− 1) and time in MVPA (> 3 & > 4 METs) in bouts greater than 1 min and 10 min. Socio-demographic information was self-reported. Stratum-specific summary statistics and multivariable analyses were performed. Results Women accumulated a mean (sd) 50(20) kJ•day− 1•kg− 1 of PAEE, and 83(67) and 33(39) minutes•day− 1 of 1-min bouted and 10-min bouted MVPA respectively. By contrast, men recorded 59(23) kJ•day− 1•kg− 1, 124(84) and 60(58) minutes•day− 1. Age and BMI were also important correlates of PA. Association with age was inverse in both sexes, more strongly so for PAEE than MVPA. Obese individuals accumulated less PA than their normal-weight counterparts, whether considering PAEE or allometrically-scaled PAEE (− 10 kJ•day− 1•kg− 1 or − 15 kJ•day− 1•kg-2/3 in men). Higher income and manual work were associated with higher PA; manual workers recorded 13–16 kJ•kg− 1•day− 1 more PAEE than sedentary counterparts. Overall, 86% of women and 96% of men accumulated a daily average of MVPA (> 3 METs) corresponding to 150 min per week. These values were 49 and 74% if only considering bouts > 10 min (15 and 31% for > 4 METs). Conclusions PA varied by age, sex and BMI, and was higher in manual workers and those with higher incomes. Light physical activity was the main driver of PAEE; a component of PA that is currently not quantified as a target in UK guidelines.

Does Habitual Physical Activity Prevent Insomnia? A Cross-Sectional and Longitudinal Study of Elderly Japanese

2013 ◽  
Vol 21 (2) ◽  
pp. 119-139 ◽  
Author(s):  
Sachiko Inoue ◽  
Takashi Yorifuji ◽  
Masumi Sugiyama ◽  
Toshiki Ohta ◽  
Kazuko Ishikawa-Takata ◽  
...  
Keyword(s):  
Physical Activity ◽  
High Frequency ◽  
Large Population ◽  
Epidemiological Studies ◽  
Population Based ◽  
Habitual Physical Activity ◽  
Protective Effects ◽  
Cross Sectional ◽  
Population Based Study ◽  
Elderly Japanese

Few epidemiological studies have examined the potential protective effects of physical activity on insomnia. The authors thus evaluated the association between physical activity and insomnia in a large population-based study in Shizuoka, Japan. Individual data were obtained from participants in an ongoing cohort study. A total of 14,001 older residents who completed questionnaires were followed for 3 yr. Of these, 10,211 and 3,697 participants were eligible for the cross-sectional and longitudinal analyses, respectively. The authors obtained information about the frequency of physical activity and insomnia. Then, the adjusted odds ratios and 95% confidence intervals between physical activity and insomnia were estimated. Habitual physical activity was related to lower prevalence of insomnia. Frequent physical activity also reduced the incidence of insomnia, especially difficulty maintaining sleep. For elderly people with sufficient mobility and no preexisting disease, high-frequency physical activity (e.g., 5 or more days/wk) may help reduce insomnia.

scholarly journals The Prevalence and Risk Factors of Gallstone among Adults in Karachi, South Pakistan: A Population-Based Study

2016 ◽  
Vol 9 (4) ◽  
pp. 106
Author(s):  
Muhammad Bilal ◽  
Abdul Haseeb ◽  
Muhammad Saad ◽  
Muhammad Ahsan ◽  
Madiha Raza ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Gallstone Disease ◽  
Physiological Mechanism ◽  
Female Gender ◽  
Population Based ◽  
Daily Physical Activity ◽  
Logistic Regression Models ◽  
Married Individuals ◽  
Study Participants

<p><strong>INTRODUCTION: </strong>The present study was aimed to determine the prevalence and risk factors of GSD among a sample of general population in Karachi, South Pakistan.</p><p><strong>METHODOLOGY: </strong>A multistage random sampling method was employed on 30 clusters, where 60 subjects of age&gt;=25 years were randomly recruited from the study population from June 2013 till March 2015. Finally, data was analyzed and logistic regression models were used to find the correlation between selected variables and gallstone disease.</p><p><strong>RESULTS: </strong>It was found that 184 patients had echogenic mass with shadowing on ultrasonography; yielding a prevalence of 10.2% for gallstones in the study participants. The occurrence was higher in females (14.8%) than in male participants (5.7%). Further, participants over 40 years of age and single, widow/separated subjects had higher incidence of gallstones than married individuals. Moreover, an indirect correlation was obtained with daily physical activity, consumption of fruits, vegetables and fish with development of GD.</p><p><strong>CONCLUSION: </strong>It can be evaluated that daily physical activity, female gender, increasing age and marital status play an important role in progression of GSD. Understanding pathogenesis and physiological mechanism involved in GSD can help to determine therapeutic options other than surgical treatment.</p>

scholarly journals SART and Individual Trial Mistake Thresholds: Predictive Model for Mobility Decline

Geriatrics ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 85
Author(s):  
Rossella Rizzo ◽  
Silvin Paul Knight ◽  
James R. C. Davis ◽  
Louise Newman ◽  
Eoin Duggan ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Test Performance ◽  
Large Population ◽  
Binary Logistic Regression ◽  
Population Based ◽  
Timed Up And Go ◽  
Logistic Regression Models ◽  
Neurocognitive Functions ◽  
Individual Trial

The Sustained Attention to Response Task (SART) has been used to measure neurocognitive functions in older adults. However, simplified average features of this complex dataset may result in loss of primary information and fail to express associations between test performance and clinically meaningful outcomes. Here, we describe a new method to visualise individual trial (raw) information obtained from the SART test, vis-à-vis age, and groups based on mobility status in a large population-based study of ageing in Ireland. A thresholding method, based on the individual trial number of mistakes, was employed to better visualise poorer SART performances, and was statistically validated with binary logistic regression models to predict mobility and cognitive decline after 4 years. Raw SART data were available for 4864 participants aged 50 years and over at baseline. The novel visualisation-derived feature bad performance, indicating the number of SART trials with at least 4 mistakes, was the most significant predictor of mobility decline expressed by the transition from Timed Up-and-Go (TUG) < 12 to TUG ≥ 12 s (OR = 1.29; 95% CI 1.14–1.46; p < 0.001), and the only significant predictor of new falls (OR = 1.11; 95% CI 1.03–1.21; p = 0.011), in models adjusted for multiple covariates. However, no SART-related variables resulted significant for the risk of cognitive decline, expressed by a decrease of ≥ 2 points in the Mini-Mental State Examination (MMSE) score. This novel multimodal visualisation could help clinicians easily develop clinical hypotheses. A threshold approach to the evaluation of SART performance in older adults may better identify subjects at higher risk of future mobility decline.

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