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1.
J Aging Phys Act ; 26(3): 471-485, 2018 07 01.
Article in English | MEDLINE | ID: mdl-29091527

ABSTRACT

OBJECTIVE: To assess the maintenance of physical activity (PA) and health gains among participants in a class-based (CB) or home-based (HB) PA intervention over a 12-month study period. METHODS: A total of 172 adults aged 50 years and older were randomly allocated to either a CB or an HB intervention, each involving an intensive 3-month phase with a 9-month follow-up period. Measures at baseline, 3, 6, and 12 months included self-reported PA and health, body mass index, waist circumference (WC), blood pressure, cardiovascular endurance (6-min walk test), physical function, and functional fitness (senior fitness test). Outcomes were analyzed using generalized estimating equations. RESULTS: Maximum improvement was typically observed at 3 or 6 months followed by a modest diminution, with no differences between groups. For body mass index, waist circumference, 6-min walk test, and senior fitness test, there was progressive improvement through the study period. Greater improvement was seen in the CB group compared with the HB group on three items on the senior fitness test (lower body strength and endurance [29% vs. 21%, p < .01], lower body flexibility [2.8 cm vs. 0.4 cm, p < .05], and dynamic agility [14% vs. 7%, p < .05]). CONCLUSION: The interventions were largely comparable; thus, availability, preferences, and cost may better guide program choice.


Subject(s)
Chronic Disease/therapy , Exercise Therapy , Physical Fitness , Aged , Aged, 80 and over , Body Mass Index , Exercise Test , Female , Follow-Up Studies , Geriatric Assessment , Humans , Male , Middle Aged , Waist Circumference
2.
J Aging Phys Act ; 26(1): 114-120, 2018 01 01.
Article in English | MEDLINE | ID: mdl-28595018

ABSTRACT

The purpose of this study was to explore cross-sectional relationships between self-reported physical activity (PA) and personal, social, and environmental factors in community-dwelling adults aged 50 years and older. Accounting for clustering by neighborhood, generalized estimating equations were used to examine associations between selected correlates and the Physical Activity Scale for the Elderly (PASE) score while adjusting for confounders. Data for 601 participants were analyzed: 79% female, 37% married, mean age 76.8 (± 8.7) years, mean PASE score 112.6 (± 64.8). Age, living in seniors' housing, using nursing/home care services, receiving encouragement to be active, and having benches available in the neighborhood were inversely associated with PASE. Self-efficacy, SF-12 score, PA barriers, social support, and the presence of trails showed positive associations. Several personal, social, and environmental factors associated with PA were identified. The inverse association between PA and living in seniors' housing units should be considered when developing PA programs for older adults.


Subject(s)
Exercise , Social Environment , Aged , Aged, 80 and over , Cross-Sectional Studies , Exercise/psychology , Female , Housing , Humans , Independent Living/psychology , Male , Middle Aged , Residence Characteristics
3.
Can J Public Health ; 103(2): 147-51, 2012.
Article in English | MEDLINE | ID: mdl-22530540

ABSTRACT

OBJECTIVES: To determine the dose-response relationship between body mass index (BMI) and cause-specific mortality among Canadian adults. METHODS: The sample includes 10,522 adults 18-74 years of age who participated in the Canadian Heart Health Surveys (1986-1995). Participants were divided into 5 BMI categories (< 18.5, 18.5-24.9, 25-29.9, 30-34.9, and > or = 35 kg/m2). Multivariate-adjusted (age, sex, exam year, smoking status, alcohol consumption and education) hazard ratios for all-cause, cardiovascular disease (CVD) and cancer mortality were estimated using Cox proportional hazards regression. RESULTS: There were 1,149 deaths (402 CVD; 412 cancer) over an average of 13.9 years (range 0.5 to 19.1 years), and the analyses are based on 145,865 person-years. The hazard ratios (95% CI) across successive BMI categories for all-cause mortality were 1.25 (0.83-1.90), 1.00 (reference), 1.06 (0.92-1.22), 1.27 (1.07-1.51) and 1.65 (1.29-2.10). The corresponding hazard ratios for CVD mortality were 1.30 (0.60-2.83), 1.00 (reference), 1.57 (1.22-2.01), 1.72 (1.27-2.33) and 2.09 (1.35-3.22); and for cancer, the hazard ratios were 1.02 (0.48-2.21), 1.00 (reference), 1.14 (0.90-1.44), 1.34 (1.01-1.78) and 1.82 (1.22-2.71). There were significant linear trends across BMI categories for all-cause (p = 0.0001), CVD (p < 0.0001) and cancer mortality (p = 0.003). CONCLUSIONS: The results demonstrate significant relationships between BMI and mortality from all causes, CVD and cancer. The increased risk of all-cause, CVD and cancer mortality associated with an elevated BMI was significant at levels above 30 kg/m2; however, overweight individuals (BMI 25-29.9 kg/m2) also had an approximately 60% higher risk of CVD mortality.


Subject(s)
Body Mass Index , Cardiovascular Diseases/mortality , Cause of Death , Neoplasms/mortality , Obesity/mortality , Adolescent , Adult , Aged , Canada/epidemiology , Female , Health Surveys , Humans , Male , Middle Aged , Proportional Hazards Models , Risk Factors
4.
Women Health ; 50(5): 459-74, 2010 Jul.
Article in English | MEDLINE | ID: mdl-20853220

ABSTRACT

This study explored the relationship between physical activity, marital status, income, education, and chronic disease in older women to determine which individuals are at risk of being inactive and to identify potential moderators of physical activity behavior. This was an analysis of cross-sectional data from a convenience sample of 271 community-dwelling women aged 65 to 79 years. Self-reported physical activity was measured using the Physical Activity Scale for the Elderly. Socio-demographic characteristics (including age, gender, marital status, education, employment, and income) and self-reported health were measured using previously validated instruments. To avoid seasonal variations in physical activity, data were collected during the summer months. Physical activity was negatively associated with age and the presence of cardio-respiratory disease and positively associated with income greater than $20,000 (p < 0.05). After controlling for other co-variates, no significant differences were observed in physical activity between married and unmarried individuals. Given the strong association between cardio-respiratory disease and income with physical activity, women 65 years of age and older in lower income brackets and suffering from these health conditions should be targeted for exercise counseling and support. Intervention research is needed to determine the most effective means to decrease inactivity among these women.


Subject(s)
Cardiovascular Diseases , Exercise , Health Status , Respiratory Tract Diseases , Age Factors , Aged , Chronic Disease , Female , Humans , Income , Motor Activity , Socioeconomic Factors
5.
Med Sci Sports Exerc ; 37(10): 1774-84, 2005 Oct.
Article in English | MEDLINE | ID: mdl-16260980

ABSTRACT

PURPOSE: To examine relationships between selected sociodemographic, health-related and environmental factors and levels of physical activity in older adults across three age groups. METHODS: Seven hundred sixty-four older adults (mean age = 77.4 +/- 8.6 yr) from a midsize Canadian city completed a self-administered questionnaire under researcher supervision. Level of physical activity was determined using the Physical Activity Scale for the Elderly (PASE). Correlates of physical activity were examined using previously validated questionnaires. The findings pertaining to personal and environmental factors are presented. RESULTS: Overall, significantly higher mean PASE scores were seen in those individuals in the following categories: male (P < 0.001), married or common-law (P < 0.001), not living alone (P < 0.001), not living in senior's housing (P < 0.001), higher levels of education (P < 0.001) and higher incomes (P < 0.001). Better physical health showed significant positive associations (P < 0.001) with PASE score. Individuals reporting at least four or more chronic health conditions had significantly lower PASE scores than those reporting no chronic conditions (P < 0.001). Significantly lower PASE scores were also reported in those using domestic services (P < 0.001). Higher PASE scores were related to the presence of hills, biking and walking trails, street lights, various recreation facilities, seeing others active and unattended dogs (P < 0.001 to P < 0.05). CONCLUSION: An understanding of the factors that influence physical activity behavior in older adults is critical to developing effective intervention strategies that will address the problem of physical inactivity in this population, and in doing so, improve the health status and quality of life of the older adult, while having a significant impact on healthcare expenditures.


Subject(s)
Physical Fitness , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Geriatric Assessment , Health Status , Humans , Male , Middle Aged , Quality of Life
6.
J Aging Res ; 2015: 425354, 2015.
Article in English | MEDLINE | ID: mdl-26347491

ABSTRACT

Purpose. To examine relationships between leisure time physical activity (LTPA) and health services utilization (H) in a nationally representative sample of community-dwelling older adults. Methods. Cross-sectional data from 56,652 Canadian Community Health Survey respondents aged ≥ 50 years (48% M; 52% F; mean age 63.5 ± 10.2 years) were stratified into three age groups and analysed using multivariate generalized linear modeling techniques. Participants were classified according to PA level based on self-reported daily energy expenditure. Nonleisure PA (NLPA) was categorized into four levels ranging from mostly sitting to mostly lifting objects. Results. Active 50-65-year-old individuals were 27% less likely to report any GP consultations (ORadj = 0.73; P < 0.001) and had 8% fewer GP consultations annually (IRRadj = 0.92; P < 0.01) than their inactive peers. Active persons aged 65-79 years were 18% less likely than inactive respondents to have been hospitalized overnight in the previous year (ORadj = 0.82, P < 0.05). Higher levels of NLPA were significantly associated with lower levels of HSU, across all age groups. Conclusion. Nonleisure PA appeared to be a stronger predictor of all types of HSU, particularly in the two oldest age groups. Considering strategies that focus on reducing time spent in sedentary activities may have a positive impact on reducing the demand for health services.

7.
Can J Diet Pract Res ; 64(4): 181-8, 2003.
Article in English | MEDLINE | ID: mdl-14675499

ABSTRACT

Research on relationships between socioeconomic status and Canadians' diet is limited. The current study investigated differences by education in dietary variables shown to be related to obesity; it included three age groups of Saskatchewan women who participated in the 1992 to 1993 Heart Health Intervention Evaluation baseline study. Multistage sampling was used to select randomly from the Saskatchewan Health Insurance Registration File. The overall response rate was 42.6%; a sample representative of the general Saskatchewan population was obtained. Three-day estimated food records and demographic information from 396 women aged 18 to 74 years were subdivided into three age categories: 18 to 34 years, 35 to 54 years, and 55 to 74 years. For the 18- to 34-year group, obesity was significantly more prevalent with lower education; trends were similar for the older age groups. Under-reporting of energy intake (indicated by an energy intake:basal metabolic rate ratio of <1.1) was related to obesity but not to education. The greatest differences in diet between educational groups were observed in the 18- to 34-year group; fewer differences existed in the 35- to 54-year group, and none in the 55- to 74-year group. Health promotion efforts need to be targeted appropriately, and based on differences in dietary intakes by socioeconomic group. Research should help promote an understanding of the reasons for differences in diet by socioeconomic status.


Subject(s)
Diet , Obesity/epidemiology , Social Class , Adolescent , Adult , Age Distribution , Aged , Diet/standards , Diet Surveys , Educational Status , Energy Intake , Female , Health Promotion , Humans , Middle Aged , Prevalence , Saskatchewan/epidemiology , Socioeconomic Factors
8.
Appl Physiol Nutr Metab ; 37(5): 1008-13, 2012 Oct.
Article in English | MEDLINE | ID: mdl-22703160

ABSTRACT

This study predicted all-cause mortality based on physical activity level (active or inactive) and waist circumference (WC) in 8208 Canadian adults in Alberta, Manitoba, Nova Scotia, and Saskatchewan, surveyed between 1986-1995 and followed through 2004. Physically inactive adults had higher mortality risk than active adults overall (hazard ratio, 95% confidence interval = 1.20, 1.05-1.37) and within the low WC category (1.51, 1.19-1.92). Detrimental effects of physical inactivity and high WC demonstrate the need for physical activity promotion.


Subject(s)
Motor Activity , Obesity/mortality , Sedentary Behavior , Waist Circumference , Adolescent , Adult , Aged , Canada/epidemiology , Female , Follow-Up Studies , Health Promotion , Health Surveys , Humans , Male , Middle Aged , Mortality , Proportional Hazards Models , Sex Factors , Young Adult
10.
J Phys Act Health ; 5(1): 74-87, 2008 Jan.
Article in English | MEDLINE | ID: mdl-18209255

ABSTRACT

BACKGROUND: The study aimed to compare the effectiveness of a class-based (CB) and home-based (HB) exercise program for older adults with chronic health conditions. METHODS: 172 sedentary older adults with overweight or obesity, type 2 diabetes, hypertension, dyslipidemia, or osteoarthritis were enrolled in a randomized controlled trial with a 3-month follow-up. RESULTS: A significant increase was seen in the CB group in the Physical Activity Scale for the Elderly (PASE) scores and SF-12 Physical and Mental Health scores. In both groups, significant increases were seen in 6-minute walk distance, Physical Performance Test (PPT), and Functional Fitness Test (FFT), and significant reductions were seen in systolic and diastolic blood pressure but not body mass index or waist circumference. Except for a greater increment in the FFT in the CB group, the degree of improvement was not significantly different between the 2 groups. CONCLUSION: After a 3-month intervention, both the CB and HB program produced comparable significant improvements in outcome measures.


Subject(s)
Chronic Disease , Exercise/physiology , Health Promotion/methods , Program Evaluation , Aged , Female , Humans , Male , Program Evaluation/methods , Saskatchewan , Surveys and Questionnaires
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