Physical activity level and sedentary time determinants among Moroccan hypertensive patients

IntroductionHypertension is closely associated with an inactive lifestyle. Physical activity and/or exercise have been shown to delay the development of hypertension. This study aimed to assess the level of physical activity and sedentary time, and its determinants among Moroccan Hypertensive patients.Patients and methodsA cross-sectional study was conducted between March and July 2019 including 680 hypertensive patients. We administered international physical activity questionnaire in face-to-face interview to assess the level of physical activity and sedentary time.ResultsThe results showed that only 43.4% of participants met recommended physical activity levels (≥ 600 MET min/week). Adherence to physical activity recommendations was observed more in male participants (p = 0.035), in participants aged less than 40 years (p = 0.040) and those aged between 41 and 50 years (p = 0.047). The average sedentary time was 37.19 ± 18.92 hours per week. This time was significantly longer in people aged 51 and over, in married, divorced, and widowed people, and in those with low levels of physical activity.ConclusionsThe level of physical inactivity and the sedentary time was high. In addition, participants with a high-level sedentary lifestyle had a low level of physical activity. Educational actions should be undertaken among this group of participants to prevent the risks associated with inactivity and sedentary behavior.     

The Associations between Smoking,Physical Inactivity,Obesity, and Asthma Severity in the General US Population

The purpose of this study was to examine the associations between smoking, physical inactivity, obesity, and asthma severity among US adults. The magnitude of these associations was very strong. For example, those who visited an emergency room in the past year were 60% more likely than those who did not to smoke; those who used an inhaler ≥15 times in the past month (versus those who did not use an inhaler) were 90% more likely to be physically inactive; and those who had asthma symptoms all the time in the past 30 days (versus those with no symptoms) were 80% more likely to be obese.     

Self-Report of Aerobic Activity among Older African Americans with Multiple Chronic Conditions

Physical inactivity among older adults around the world is a growing concern. In the United States, older African Americans report high levels of physical inactivity, especially older African Americans with chronic conditions. This study examined the influence of chronic conditions on aerobic activity among a sample of community-dwelling, older African Americans with a self-reported diagnosis of type 2 diabetes and other chronic conditions, such as hypertension and arthritis. Findings indicate that regardless of age, the number of chronic conditions was a significant influence in self-report of aerobic activity. Successful self-management of type 2 diabetes and other chronic conditions may promote physical activity among sedentary older African Americans with multiple chronic conditions. Furthermore, research that considers a life course epidemiological approach are needed to enhance our understanding about the cumulative effects of MCC on physical activity among sedentary, older African Americans with MCC.     

Are US adults with arthritis meeting public health recommendations for physical activity?

Objective

To estimate the prevalence of US adults with self‐reported, doctor‐diagnosed arthritis (without specifying the type of rheumatic disease) who are meeting the US Surgeon General's recommendations for physical activity.

Methods

Using population‐based survey data from the 2001 Behavioral Risk Factor Surveillance Survey, we classified respondents according to their arthritis status and their level of physical activity (i.e., physically inactive, insufficiently active, or meeting recommendations). Prevalence data were weighted to take account of the complex sampling design, and were broken down by a variety of demographic characteristics such as race, education, and body weight.

Results

Nearly one‐quarter (23%) of US adults reported having doctor‐diagnosed arthritis. Among adults with arthritis, 23.8% were physically inactive, 38% reported insufficient levels of physical activity, and 38.3% reported meeting the recommendations for physical activity. The highest prevalence of inactivity in adults with arthritis was found among those subjects with fewer than 8 years of formal education (47.6%), those with 9–11 years of education (35.5%), those who were African American (35.4%), those whose age was ≥65 years (31.1%), and those who were Hispanic (30.4%).

Conclusion

Despite the benefits of physical activity, more than 60% of adults with arthritis do not meet the physical activity recommendations. Efforts should be made to ensure that adults with arthritis are made aware of the benefits of physical activity, and that interventions are prescribed to assist these individuals in becoming more physically active.

     

Impaired health-related quality of life and related risk factors among US adults with asthma

Objective: This study assessed health-related quality of life (HRQoL) and related risk factors among adults with asthma in the United States. Using the 2015 Behavioral Risk Factor Surveillance System (BRFSS), we examined the association between four domains of impaired HRQoL and selected explanatory factors. Methods: A BRFSS sample of 39,321 adults with asthma was used in this study. We examined the association between fair/poor health, ≥ 14 mentally unhealthy days, ≥ 14 physically unhealthy days, and ≥ 14 days of activity limitation and selected explanatory variables (sex, race/ethnicity, age, annual household income, healthcare coverage, physical activity, smoking status, body mass index (BMI), having a coexisting disease, and being diagnosed with depression) using multivariable logistic regression models. Results: Income, physical activity status, smoking status, coexisting diseases, and depression were strongly associated with all HRQoL domains. Blacks had significantly less ≥ 14 physically unhealthy days (23.4%; aPR = 0.82 [95% confidence interval (CI): 0.72, 0.92]) and ≥ 14 days of activity limitation (18.3%; aPR = 0.81 [0.70, 0.94]) and Hispanics had significantly more fair/poor health (38.4%; aPR = 1.31 [1.18, 1.45]) than whites. Underweight and obese had significantly more fair/poor health, and underweight significantly more ≥ 14 physically unhealthy days, compared with normal weight. Adults aged 55 years or older had significantly less ≥ 14 mentally unhealthy days than adults 18–24 years. Conclusions: Multiple factors were associated with impaired HRQoL. Providing strategies to address potential risk factors such as low income, physically inactive, smoker, and obese or underweight should be considered to improve HRQoL among adults with asthma.     

Multiple exposures to smoking, alcohol, physical inactivity and overweight: Prevalences according to the Canadian Community Health Survey Cycle 1.1

The objective of this study was to calculate the prevalence of multiple exposures to four modifiable risk factors (smoking, alcohol, physical inactivity and overweight) and to establish whether there are more Canadians with multiple risk factor exposures than those with singular ones. Weighted estimates of the prevalence of mutually exclusive risk factor clusters were calculated according to the Canadian Community Health Survey, Cycle 1.1 (2000). Confidence limits were estimated by bootstrap techniques. Findings indicate that 21.0 percent of Canadians have no risk factor exposures, 53.5 percent are physically inactive, 21.5 percent currently smoke, 44.8 percent are overweight, and 6.0 percent are high-risk drinkers. Compared to females, males are less physically inactive but more likely to smoke, have high alcohol intake and be overweight, across all age groups. At least one risk factor was present in 79.0 percent of Canadians and 39.0 percent have at least two coexistent exposures. The distribution of risk factor prevalences differed significantly by age, most peaking among those between age 35 and 64, with the exception of physical inactivity. Those who smoke and are physically inactive account for the highest proportion of the population with two or more coexistent risk factors. Canadians who are free of the four risk factors for chronic disease examined in this paper constitute the minority. Future studies are recommended to examine other risk factors, as well as interactions of multiple exposures in association with chronic disease.     

Does leisure‐time physical activity attenuate or eliminate the positive association between obesity and high blood pressure?

We examine the joint association of weight status and leisure‐time physical activity on high blood pressure in a nationally representative sample of adults and older adults in Brazil. This was a national cross‐sectional survey conducted in Brazil in 2013 (Brazilian Health Survey). The sample consisted of 59 402 participants (56% women, aged 18 to 100 years). Outcome was objectively assessed blood pressure. Body mass index (BMI) was objectively measured, while self‐reported information on leisure‐time physical activity, TV viewing, chronological age, race, educational status, tobacco smoking, sodium consumption, and hypertension medication was obtained using questionnaires. Logistic regression analysis with adjusted odds ratio was conducted to test the joint association of BMI and leisure‐time physical activity categories on high blood pressure. Overall, compared to normal weight (NW) and physically active group, the NW/inactive (OR = 1.28; 1.04 to 1.58), overweight/active (OR = 1.38; 1.08 to 1.78), overweight/inactive (OR = 1.89; 1.53 to 2.33), obese/active (OR = 2.19; 1.59 to 3.01) and obese/inactive (OR = 2.54; 2.05 to 3.15) groups were 28% to 254% more likely to have high blood pressure. The attenuation and high blood pressure was greater for women and adults than for men and older adults. Thus, leisure‐time physical inactivity and being overweight and obesity were associated with high blood pressure in Brazilian population. Engaging in sufficient level of physical activity during leisure could attenuate, but not eliminate, the negative influence of obesity on high blood pressure in Brazilian adults and older adults.     

Physical activity in U.S. older adults with diabetes mellitus: prevalence and correlates of meeting physical activity recommendations

OBJECTIVES: To compare the prevalence and correlates of meeting current recommendations for physical activity in older adults with and without diabetes mellitus (DM) in the United States. DESIGN: A cross‐sectional, population‐based sample. SETTING: The 2007 Behavioral Risk Factor Surveillance Survey, which employs random‐digit dialing to interview noninstitutionalized U.S. adults. PARTICIPANTS: Ninety‐nine thousand one hundred seventy‐two adults (18,370 with DM) aged 65 and older. MEASUREMENTS: The age‐adjusted prevalence and the odds ratios for physical activity patterns (defined on the basis of the physical activity guidelines from the American Diabetes Association (ADA 2007) and the Department of Health and Human Services (DHHS 2008)) were obtained using multiple logistic regression analyses. The correlates of meeting physical activity recommendations were assessed using log‐binomial regression analyses. RESULTS: Overall, 25% and 42% of older adults with diabetes mellitus met recommendations for total physical activity based on the ADA 2007 and the DHHS 2008 guidelines, respectively. Adults with DM were 31% to 34% (P<.001) less likely to engage in physical activity at recommended levels and 13% to 19% (P<.001) less likely to be physically active at insufficient levels than those without DM. Analyses limited to participants who reported no disability yielded similar results. In adults with DM, older age (≥75); being female; being non‐Hispanic black; and having obesity, coronary heart disease, and disability were associated with less likelihood, whereas advanced educational status was associated with greater likelihood of meeting physical activity recommendations. CONCLUSION: In the United States, efforts to boost physical activity participation in older adults with DM are needed.     

Are US adults with arthritis meeting public health recommendations for physical activity?

OBJECTIVE: To estimate the prevalence of US adults with self-reported, doctor-diagnosed arthritis (without specifying the type of rheumatic disease) who are meeting the US Surgeon General's recommendations for physical activity. METHODS: Using population-based survey data from the 2001 Behavioral Risk Factor Surveillance Survey, we classified respondents according to their arthritis status and their level of physical activity (i.e., physically inactive, insufficiently active, or meeting recommendations). Prevalence data were weighted to take account of the complex sampling design, and were broken down by a variety of demographic characteristics such as race, education, and body weight. RESULTS: Nearly one-quarter (23%) of US adults reported having doctor-diagnosed arthritis. Among adults with arthritis, 23.8% were physically inactive, 38% reported insufficient levels of physical activity, and 38.3% reported meeting the recommendations for physical activity. The highest prevalence of inactivity in adults with arthritis was found among those subjects with fewer than 8 years of formal education (47.6%), those with 9-11 years of education (35.5%), those who were African American (35.4%), those whose age was > or =65 years (31.1%), and those who were Hispanic (30.4%). CONCLUSION: Despite the benefits of physical activity, more than 60% of adults with arthritis do not meet the physical activity recommendations. Efforts should be made to ensure that adults with arthritis are made aware of the benefits of physical activity, and that interventions are prescribed to assist these individuals in becoming more physically active.     

Physical inactivity, sedentary lifestyle and obesity in the European Union

BACKGROUND: Diverging trends of decreasing energy intake and increasing prevalence of obesity suggest that physical inactivity and sedentary lifestyle may be one of the key determinants of the growing rates of overweight/obesity in Western populations information about the impact of physical inactivity and sedentary lifestyles on the prevalence of obesity among the general adult population in the European Union is sparse. OBJECTIVES: To estimate the association of leisure-time sedentary and non-sedentary activities with body mass index (BMI, kg/m2) and with the prevalence of obesity (BMI>30 kg/m2) in a sample of the 15 member states of the European Union. METHODS: Professional interviewers administered standardized in-home questionnaires to 15,239 men and women aged 15 years upwards, selected by a multi-stage stratified cluster sampling with quotas applied to ensure national and European representativeness. Energy expenditure during leisure time was calculated based on data on frequency of and amount of time participating in various physical activities, assigning metabolic equivalents (METS) to each activity. Sedentary lifestyle was assessed by means of self-reported hours spent sitting down during leisure time. Multiple linear regression models with BMI as the dependent variable, and logistic regression models with obesity (BMI>30 kg/m2) as the outcome, were fitted. RESULTS: Independent associations of leisure-time physical activity (inverse) and amount of time spent sitting down (direct) with BMI were found. The adjusted prevalence odds ratio (OR) for obesity was 0.52 [95% confidence interval (CI): 0.43-0.64, P<0.001] for the upper quintile of physical activity (>30 METS) compared with the most physically inactive quintile (<1.75 METS). A positive independent association was also evident for the time spent sitting down, with an adjusted OR= 1.61(95% CI: 1.33-1.95, P<0.001) for those who spent more than 35 h of their leisure time sitting down compared with those who spent less than 15 h. Conclusions: Obesity and higher body weight are strongly associated with a sedentary lifestyle and lack of physical activity in the adult population of the European Union. These results, however, need to be interpreted with caution due to the cross-sectional design. Nonetheless, they are consistent with the view that a reduction in energy expenditure during leisure time may be the main determinant of the current epidemic of obesity.     

Association of physical activity with metabolic syndrome in a predominantly rural Nigerian population

AimsPhysical activity is an essential determinant of health. However, there is dearth of evidence regarding prevalence of physical activity in developing countries, especially its association with metabolic syndrome risk factors. This study assessed the association of physical activity with metabolic syndrome in a Nigerian population.Materials and methodsA cross-sectional study was carried out on apparently healthy persons who are ≥18 years old. The World Health Organisation (WHO) Global Physical Activity Questionnaire (GPAQ) was used to collect five domains of physical activity. Participants were classified as physically active or inactive based on meeting the cut-off value of 600 MET-min/week. Metabolic syndrome was diagnosed using the Joint Scientific Statement on Harmonizing the Metabolic Syndrome criteria.ResultsOverall prevalence of physically active individuals was 50.1% (CI: 45.6–54.7%). Physical inactivity is significantly more in females (p < 0.01) and among participants >40 years old (p < 0.0001). Whereas individuals with metabolic syndrome appeared more likely to be physically active (OR = 1.48, CI: 0.71–3.09); physical inactivity showed to exist more among participants who were living in urban area (OR = 6.61, CI: 3.40–12.85, p < 0.001). Participants with prediabetes (OR = 1.69, CI: 0.62–4.61) and diabetes (OR = 1.91, CI: 0.65–5.63) were more likely to be physically inactive as compared to other metabolic syndrome risk factors.ConclusionThe high prevalence of physical inactivity in this study population is a clear indication that concerted efforts to improve physical activity may be required. However, it seems that metabolic syndrome is not improved by being physically active. This suggests that interventions directed at physical activity alone may not produce optimal efficacy in this study population.     

Evidence of physical activity participation among men and women in the countries of the Gulf Cooperation Council: a review

Rapid socioeconomic development in the countries of the Gulf Cooperation Council (GCC) has resulted in demographic and epidemiological transitions, with obesity, diabetes and other chronic diseases becoming the leading causes of morbidity and mortality. This emerging disease pattern is often attributed to physically inactive lifestyles. Given that there is no consolidated evidence on physical activity participation, we reviewed studies to examine prevalence and gender differences among GCC adults. PubMed, CINAHL and reference list searches identified eight relevant studies. Based on the best‐available data, the prevalence of adults being physically active for at least 150 min week^?1 (based on the international standard definition) ranged from 39.0% to 42.1% for men and 26.3% to 28.4% for women. Men were significantly more active than were women. Prevalence estimates for participation in physical activity in the GCC States are considerably lower than those for many developed countries. Studies using standardized methodologies with nationally representative samples are urgently required. Identifying prevalence and gender variations provides the basis for understanding the unique socio‐cultural and environmental factors contributing to physical inactivity among adults in the countries of the GCC. This understanding must then inform population‐health strategies to address the rising prevalence of obesity, type 2 diabetes and other chronic diseases.     

Correlates of physical activity: why are some people physically active and others not?

Physical inactivity is an important contributor to non-communicable diseases in countries of high income, and increasingly so in those of low and middle income. Understanding why people are physically active or inactive contributes to evidence-based planning of public health interventions, because effective programmes will target factors known to cause inactivity. Research into correlates (factors associated with activity) or determinants (those with a causal relationship) has burgeoned in the past two decades, but has mostly focused on individual-level factors in high-income countries. It has shown that age, sex, health status, self-efficacy, and motivation are associated with physical activity. Ecological models take a broad view of health behaviour causation, with the social and physical environment included as contributors to physical inactivity, particularly those outside the health sector, such as urban planning, transportation systems, and parks and trails. New areas of determinants research have identified genetic factors contributing to the propensity to be physically active, and evolutionary factors and obesity that might predispose to inactivity, and have explored the longitudinal tracking of physical activity throughout life. An understanding of correlates and determinants, especially in countries of low and middle income, could reduce the eff ect of future epidemics of inactivity and contribute to effective global prevention of non-communicable diseases.     

Factors associated with ADL and IADL dependency among Korean centenarians: reaching the 100-year-old life transition

This study aims to examine the functional status of Korean centenarians, who have crossed the relatively rare but increasingly common life transition of living for a century. As functional health is one of the essential components of healthy aging, our primary objective is to identify the correlates of two aspects of functioning, activities of daily living (ADL) and instrumental activities of daily living (IADL). Using a census survey conducted by the Korean National Statistical Office (KNSO) in 2005, we documented ADL and IADL limitations and analyzed their relationship to sociodemographic factors, health behaviors, social connectedness, and presence of diseases. The study participants were 796 adults aged 100 years or older. The mean age was 101.5 +/- 1.8, and females were 89.9% of the sample. Both ADL and IADL dependences were more common among females, those who did less physical activity, those who had more diseases, and those who did not participate in social activities. Intervention programs designed to address life-stage issues such as focusing on initiating healthy behaviors from youth, managing chronic diseases in mid-life, and fostering social participation in later life are recommended ways to improve functional independence and promote healthy aging among current and future generations of Korean centenarians.     

The Associations between Smoking, Physical Inactivity, Obesity, and Asthma Severity in the General US Population

The purpose of this study was to examine the associations between smoking, physical inactivity, obesity, and asthma severity among US adults. The magnitude of these associations was very strong. For example, those who visited an emergency room in the past year were 60% more likely than those who did not to smoke; those who used an inhaler ≥15 times in the past month (versus those who did not use an inhaler) were 90% more likely to be physically inactive; and those who had asthma symptoms all the time in the past 30 days (versus those with no symptoms) were 80% more likely to be obese.     

Physical inactivity and short-term all-cause mortality in adults with chronic disease

OBJECTIVE: To ascertain the relationship of physical inactivity and short-term all-cause mortality in a prospective cohort of randomly selected managed care organization members aged 40 years and older who have multiple chronic diseases. METHODS: Clinical databases were used to identify all health plan members aged 40 years and older with 2 or more chronic health conditions (hypertension, coronary heart disease, diabetes mellitus, or dyslipemia) in 1994. A random sample of 2336 members was surveyed by mail and telephone interview regarding their health-related behaviors. Survey data were linked to mortality data from the 1995 to 1997 Minnesota Death Index. Cox proportional hazards regression was used to ascertain the association between physical inactivity and subsequent all-cause mortality, adjusting for potential confounders. RESULTS: Members who reported less than 30 minutes a week of physical activity at baseline had a subsequent mortality risk ratio of 2.82 (P<.001) vs those with 30 or more minutes of physical activity a week. Increased mortality risk persisted (mortality risk ratio, 2.15; P<.001) after adjustments for age, sex, current smoking, functional impairment, and comorbidity score. CONCLUSIONS: In adults with chronic diseases, the physically inactive had higher observed mortality within a 42-month period. If physical inactivity reflects an independent mortality risk, efforts to maintain physical activity in such patients may yield significant clinical benefits within a short period. By contrast, if inactivity is primarily a proxy for other factors that elevate mortality risks, a simple physician inquiry regarding inactivity may help to identify patients at risk of death.     

The relationship between expectations for aging and physical activity among older adults

BACKGROUND: New strategies to increase physical activity among sedentary older adults are urgently needed. OBJECTIVE: To examine whether low expectations regarding aging (age-expectations) are associated with low physical activity levels among older adults. DESIGN: Cross-sectional survey. PARTICIPANTS: Six hundred and thirty-six English- and Spanish-speaking adults aged 65 years and above attending 14 community-based senior centers in the Los Angeles region. Over 44% were non-Latino whites, 15% were African American, and 36% were Latino. The mean age was 77 years (range 65 to 100). MEASUREMENTS: Self-administered written surveys including previously tested measures of age-expectations and physical activity level in the previous week. RESULTS: Over 38% of participants reported <30 minutes of moderate-vigorous physical activity in the previous week. Older adults with lower age-expectations were more likely to report this very low level of physical activity than those with high age-expectations, even after controlling for the independent effect of age, sex, ethnicity, level of education, physical and mental health-related quality of life, comorbidity, activities of daily living impairment, depressive symptoms, self-efficacy, survey language, and clustering at the senior center. Compared with the quintile of participants having the highest age-expectations, participants with the lowest quintile of age-expectations had an adjusted odds ratio of 2.6 (95% confidence intervals: 1.5, 4.5) of reporting <30 minutes of moderate-vigorous physical activity in the previous week. CONCLUSIONS: In this diverse sample of older adults recruited from senior centers, low age-expectations are independently associated with very low levels of physical activity. Harboring low age-expectations may act as a barrier to physical activity among sedentary older adults.     

Identification of Phenotypes in People with COPD: Influence of Physical Activity,Sedentary Behaviour,Body Composition and Skeletal Muscle Strength

Introduction

People with chronic obstructive pulmonary disease (COPD) present high prevalence of physical inactivity that leads to a negative effect on health-related quality of life (HRQoL). The present study investigated COPD phenotypes according to their levels of physical activity and sedentary behaviour, as well as body composition and skeletal muscle strength.

Methods

This is an observational and cross-sectional study. Anthropometric data and COPD clinical control were collected and all participants underwent assessments of lung function, HRQoL, dyspnoea, levels of physical activity and sedentary behaviour, body composition and skeletal muscle strength. Participants were classified using hierarchical cluster analysis. Age, dyspnoea and obstruction (ADO) index was used to determine prognosis and calculated for each cluster.

Results

One hundred and fifty-two participants were included. Three distinct phenotypes were identified. Participants in phenotype 1 were more physically active, less sedentary and had better body composition and lower ADO index (p < 0.0001 for all variables). Overall, participants in phenotypes 2 and 3 were less physically active, more sedentary having a higher ADO index. However, participants in phenotype 2 were older, whereas participants in phenotype 3 had worse HRQoL, clinical control and body composition. Lung function did not differ across the three phenotypes.

Conclusions

Our results show that physical activity, sedentary behaviour and body composition should be considered to determine phenotypes in people with COPD and are involved in the prognosis of the disease. Less sedentary patients have better prognosis while age, body composition and clinical control seems to differentiate physically inactive patients.

     

Factors associated with low levels of physical activity among elderly residents in a small urban area in the interior of the Brazilian Amazon

The aim of the present study was to investigate levels of physical activity and risk factors for inactivity in older adults living in an urban area in the interior of the Amazonas state, Brazil. Data were collected between 2013 and 2015 from 274 individuals 60 years of age or older who resided in the interior of the Brazilian Amazon. Sociodemographic, general health, functional capacity and physical performance were associated with self-referred physical activity level. A multivariate analysis, after adjustment, showed that being a man, having a body mass index above 27 kg/m², never having lived in riverside communities and having less than three associated chronic diseases were independent risk factors for low levels of physical activity among elderly residing in the interior of the Brazilian Amazon. Few studies have been conducted about the characteristics that are singular to this population. Our results suggest that the physical activity level and, consequently, the aging process of the elderly is influenced by where they have resided throughout their lives. Additionally, the results showed particular risk factors associated with low physical activity level among older adults residing in the interior of the state of Amazonas.     

Effectiveness of physical activity and sedentary behaviour interventions in altering sedentary behaviour among older adults: a systematic review

Background

Long and frequent bouts of sedentary behaviour pose a major risk to health and increase the incidence of hypokinetic diseases and mortality, independent of the risks caused by physical inactivity alone. The aim of this systematic review was to determine the effectiveness of interventions used by researchers in altering sedentary behaviour among adults aged 60 years or older.