scholarly journals Physical activity level as a predictor of healthy and chronic disease-free life expectancy between ages 50 and 75

2018 ◽  
Vol 47 (3) ◽  
pp. 423-429 ◽  
Author(s):  
Tuija Leskinen ◽  
Sari Stenholm ◽  
Ville Aalto ◽  
Jenny Head ◽  
Mika Kivimäki ◽  
...  
Keyword(s):  
Physical Activity ◽  
Chronic Disease ◽  
Life Expectancy ◽  
Physical Activity Level ◽  
Activity Level ◽  
Disease Free

scholarly journals Influence of the physical activity level on the life expectancy

2019 ◽  
Vol 3 (4) ◽  
Author(s):  
Luiz Augusto da Silva ◽  
Eduardo Bueno Carneiro ◽  
Flávia Angela Servat ◽  
Julio Cesar Lacerda Martins ◽  
Pablo de Almeida ◽  
...  
Keyword(s):  
Physical Activity ◽  
Life Expectancy ◽  
Physical Activity Level ◽  
Activity Level

scholarly journals Diet quality as a predictor of cardiometabolic disease–free life expectancy: the Whitehall II cohort study

2020 ◽  
Vol 111 (4) ◽  
pp. 787-794 ◽  
Author(s):  
Hanna Lagström ◽  
Sari Stenholm ◽  
Tasnime Akbaraly ◽  
Jaana Pentti ◽  
Jussi Vahtera ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cohort Study ◽  
Life Expectancy ◽  
Diet Quality ◽  
Dietary Habits ◽  
Healthy Eating Index ◽  
Activity Level ◽  
Cardiometabolic Disease ◽  
Occupational Position ◽  
Disease Free

ABSTRACT Background Poor diet quality has been linked to increased risk of many chronic diseases and premature mortality. Less research has considered dietary habits in relation to disease-free life expectancy. Objectives Our objective was to investigate the association of diet quality with cardiometabolic disease–free life expectancy between ages 50 and 85 y. Methods Diet quality of 8041 participants of the Whitehall II cohort study was assessed with the Alternative Healthy Eating Index 2010 (AHEI-2010) in 1991–1994, 1997–1999, and 2002–2004. The measurement of diet quality closest to age 50 for each participant was used. We utilized repeat measures of cardiometabolic disease (coronary heart disease, stroke, and type 2 diabetes) from the first observation when participants were aged ≥50 y. Multistate life table models with covariates age, gender, occupational position, smoking, physical activity, and alcohol consumption were used to estimate total and sex-specific cardiometabolic disease–free life expectancy from age 50 to 85 y for each AHEI-2010 quintile, where the lowest quintile represents unhealthiest dietary habits and the highest quintile the healthiest habits. Results The number of cardiometabolic disease–free life-years after age 50 was 23.9 y (95% CI: 23.0, 24.9 y) for participants with the healthiest diet, that is, a higher score on the AHEI-2010, and 21.4 y (95% CI: 20.6, 22.3 y) for participants with the unhealthiest diet. The association between diet quality and cardiometabolic disease–free life expectancy followed a dose–response pattern and was observed in subgroups of participants of different occupational position, BMI, physical activity level, and smoking habit, as well as when participants without cardiometabolic disease at baseline were excluded from analyses. Conclusions Healthier dietary habits are associated with cardiometabolic disease–free life expectancy between ages 50 and 85.

Self-Referent Thoughts in Exercise: The Self-Perception in Exercise Questionnaire

1997 ◽  
Vol 13 (3) ◽  
pp. 195-205 ◽  
Author(s):  
Marit Sorensen
Keyword(s):  
Physical Activity ◽  
Pilot Study ◽  
Physical Activity Level ◽  
Convergent Validity ◽  
English Language ◽  
Lifestyle Changes ◽  
Activity Level ◽  
Language Version ◽  
Social Comfort ◽  
And Gender

Adherence to lifestyle changes - beginning to exercise, for example - is assumed to be mediated by self-referent thoughts. This paper describes a pilot study and three studies conducted to develop and validate a questionnaire for adults to determine their self-perceptions related to health-oriented exercise. The pilot study identified items pertinent to the domains considered important in this context, and began the process of selecting items. Study 2 examined the factor structure, reduced the number of items, determined the internal consistency of the factors, and explored the discriminative validity of the questionnaire as to physical activity level and gender. Four factors with a total of 24 items were accepted, measuring mastery of exercise, body perception, social comfort/discomfort in the exercise setting, and perception of fitness. All subscales had acceptable internal consistencies. Preliminary validity was demonstrated by confirming hypothesized differences in scores as to gender, age, and physical activity level. The third study examined and demonstrated convergent validity with similar existing subscales. The fourth study examined an English-language version of the questionnaire, confirming the existence of the factors and providing preliminary psychometric evidence of the viability of the questionnaire.

Physical Activity Level and Motor Aptitude: Motor Domains and Identification Capacity of Brazilian Insufficiently Active Older Adults

2020 ◽  
Vol 13 ◽  
Author(s):  
Lucia Maria Andreis ◽  
Fernando de Aguiar Lemos ◽  
Lorenna Walesca de Lima Silva ◽  
Cassiana Luiza Pistorello Garcia ◽  
Gabrielli Veras ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Physical Activity Level ◽  
Area Under The Curve ◽  
The Elderly ◽  
Activity Level ◽  
General Motor ◽  
Body Scheme ◽  
Significant Difference ◽  
Global Coordination

Background: A decrease in the physical activity level in old age is common, which results in an increase in the number of falls and chronic conditions. Associated with that occurs the decline in motor skills as a result of the deficit in the interaction of cognitive and motor processes. Physical activity level can be associated differently with each motor domains. Objective: We analyzed the relationship between physical activity level and motor aptitude, and to identify which motor domains were most sensitive to detect insufficiently active level in older adults. Methods: Participated in the study 385 elderly people of both sexes. For the evaluation of the subjects were adopted the International Questionnaire on Physical Activity and the Motor Scale for Older Adults. Results: The majority of the elderly were active. In the comparison of motor aptitude between active and insufficiently active (IAC) elders a significant difference was found in the Global Coordination, Balance, Body Scheme and General Motor Aptitude. From the analysis of the area under the curve (AUC), we verified that these domains also were the ones that presented adequate diagnostic accuracy to identify IAC elderly. Besides that active elderly have presented the General Motor Aptitude classified within normality while the IAC below the normal. Conclusion: Our data suggest that IAC older adults present lower motor aptitude than the active elderly, especially in the domains of Global Coordination, Balance, Body Scheme and General Motor Aptitude, and that these domains were sensitive to indicate IAC older adults.

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