Determinants Of Physical Inactivity Research Articles

Physical activity level among pregnant women attending maternal healthcare services in rural Karnataka; findings of a cross-sectional study

Background Regular exercise during pregnancy improves fetal and mother outcomes unless contraindicated. Despite being generally safe and beneficial, non-participation in prenatal activity is relatively common among most of the Asian countries due to multiple reasons. In India, findings related to maternal physical activity and its determinant are scant. Objective The objective of this study is to assess the physical activity level and associated factors among pregnant women attending maternal healthcare services in Dakshina Kannada District in India. Method A multi-center community-based cross-sectional study was conducted recruiting 424 pregnant women attending the maternal healthcare facilities at four taluks of Dakshina Kannada district in Karnataka state, India. A structured questionnaire that collected information on socio-demographic, and maternal characteristics was used and the Pregnancy Physical Activity Questionnaire tool was used to determine the physical activity during pregnancy. Logistic regression model was used to determine the predictor variables. Results The prevalence of physical inactivity was 40.33%. Physical activity is favorable among pregnant women aged between 25 to 29 years, residing in an urban locality, diploma or graduation and being housewife. Determinants of physical inactivity during pregnancy were sedentary occupation (AOR 7.22, 95% CI 2.2, 23.4), low family income (AOR 3.16, 95% CI 1.414, 7.054), having one child (AOR 5.4, 95% CI 1.3, 22.2), during 2nd trimester (AOR 2.513, 95% CI 1.5, 4.23) and self-reported lack of time (AOR 2.884, 95% CI 1.410, 5.901). Conclusion and recommendation A moderate proportion of pregnant women reported physical inactivity during pregnancy in the Dakshina Kannada district, Karnataka. Physical inactivity was associated with sedentary employment, low income, number of children, trimester, and time constraints. Measures should be undertaken to promote the importance of recommended levels of physical activity, enhance access, and support system targeting pregnant women.

Physical inactivity in early pregnancy and the determinants in an urban city setting of Kuala Lumpur, Malaysia

BackgroundPhysical inactivity in pregnancy has been associated with excessive gestational weight gain, hypertensive disorders, gestational diabetes mellitus and postpartum depression. Despite these risks, physical inactivity level remains high especially in higher income countries. The prevalence of physical inactivity among women in Malaysia aged ≥16 years was 28.2% in 2019 exceeding men by 6.1%. However, little is known regarding the subpopulation of pregnant women especially in Kuala Lumpur which is the most urbanized and highly populated city in Malaysia. Therefore, the aim of this study is to measure the physical inactivity prevalence among first trimester pregnant women in Kuala Lumpur and to identify its determining factors.MethodsThis was a cross-sectional study in which 339 first trimester pregnant women were sampled from 13 maternal and child health clinics located in all four parliament districts of Kuala Lumpur. Self-administered questionnaires which contained the Malay version of the pregnancy physical activity questionnaire (PPAQ) were used. Descriptive analysis was conducted to determine the physical inactivity prevalence followed by simple and multiple logistic regression to identify the determinants of physical inactivity with significant level of 5%.ResultsThe prevalence of physical inactivity was 38.3%. The highest activity was seen in the household activity domain, despite only 24.8% of the respondents were housewives/unemployed. There was little to no participation observed in the vigorous intensity category. The determinants of physical inactivity were primigravida (aOR 3.54 95% CI 1.40, 8.97), education level (aOR 3.77 95% CI 1.35, 10.52) and body mass index (aOR 0.88 95% CI 0.80, 0.97) which explained 22.6% variation of physical inactivity in the final adjusted model.ConclusionThe prevalence of physical inactivity among first trimester pregnant mothers in this study was 38.3%, and the highest activity was seen in the household category. Health education on physical activity in pregnancy should be focused on those who are primigravida and have no tertiary education. The educational content should be updated and tailored to current pandemic situation where self-isolation is the new norm, by advocating for home-based, moderate to vigorous intensity physical activities.

Physical Inactivity in Older Adult Couples: A Dyadic Analysis Using Continuous In-Home Monitoring

Many older adults remain inactive despite the known positive health implications of physical activity (e.g. improved mood, reduced mortality risk). Physical inactivity is a known interdependent phenomenon in couples, but the majority of research identifies determinants of physical inactivity at the individual level. We estimated the average amount of physical inactivity for older adult couples and, using dyadic analysis, identified physical and mental health determinants thereof. Forty-eight heterosexual older adult couples (mean age=70.6, SD=6.63) from the Veterans Integrated Service Network 20 cohort of the Collaborative Aging Research using Technology (CART) initiative were included in this study. Both dyad members wore actigraph devices for a month. The average number per day of inactive periods (defined as no movement or sleep activity for ≥ 30 minutes) was estimated. Multilevel modeling revealed that, within couples, there was no difference between partners in the average number of inactive periods, but on average across couples, males had more inactive periods per day (13.4, SD=4.43) than females (12.3, SD=4.87). For males, older age was the only variable associated with more inactive periods (β=0.13, p=.013). For females, more depressive symptoms in men were associated with fewer inactive periods (β=-0.37, p=.002), and more dependence in completing their own IADLs predicted more inactive periods (β=2.80, p<.001). All models were adjusted for covariates. Viewing couples’ activity as a unit, rather than as separate individuals, provides a novel approach to identifying pathways to reduce inactivity in older adults, especially when focusing on mental health issues and decreased independence within the couple.

Physical Inactivity among Ghanaians in Ghana and Ghanaian Migrants in Europe.

There is a paucity of data on physical activity (PA) among migrants from sub-Saharan Africa, yet physical inactivity is a key risk factor for noncommunicable diseases. We examined the levels of physical inactivity and its determinants among Ghanaians in different geographical locations. We used the Research on Obesity and Diabetes among African Migrants data of Ghanaian adults (n = 4760) age 25-70 yr in rural and urban Ghana and three European cities (Amsterdam, London, and Berlin). Using total physical activity metabolic equivalent of task, physical inactivity was defined as total physical activity metabolic equivalent of task minutes per week less than 600. Logistic regression was used to examine the differences in the levels and the determinants of physical inactivity across sites. Physical inactivity was higher among Ghanaian migrants (14.6% in Amsterdam, 24.1% in Berlin, and 36.6% in London) and urban Ghanaians (29.0%) compared with rural Ghanaians (11.2%). After adjustment for covariates (age, sex, education, health status, smoking status, body mass index, and social network) using rural Ghanaians as the comparator group, the odds ratios for physical inactivity in men ranged from 3.67 (95% confidence interval, 2.19-6.16) in urban Ghanaians to 10.37 (5.96-18.02) in London Ghanaians, and from 3.27 (2.46-4.35) in urban Ghanaians to 4.41 (3.12-6.22) in London Ghanaians in women. Migrants in London and Berlin had higher odds of physical inactivity compared with Amsterdam. Increased age, university education, and overweight/obesity were positively associated with physical inactivity, whereas social support was inversely associated with physical inactivity with variability across sites. Findings indicate high prevalence of physical inactivity among Ghanaians in all sites, particularly among Ghanaians in Europe. Hence, there is the need to take local context into account to improve PA.

Physical inactivity, gender and culture in Arab countries: a systematic assessment of the literature

BackgroundPhysical inactivity is associated with excess weight and adverse health outcomes. We synthesize the evidence on physical inactivity and its social determinants in Arab countries, with special attention to gender and cultural context.MethodsWe searched MEDLINE, Popline, and SSCI for articles published between 2000 and 2016, assessing the prevalence of physical inactivity and its social determinants. We also included national survey reports on physical activity, and searched for analyses of the social context of physical activity.ResultsWe found 172 articles meeting inclusion criteria. Standardized data are available from surveys by the World Health Organization for almost all countries, but journal articles show great variability in definitions, measurements and methodology. Prevalence of inactivity among adults and children/adolescents is high across countries, and is higher among women. Some determinants of physical inactivity in the region (age, gender, low education) are shared with other regions, but specific aspects of the cultural context of the region seem particularly discouraging of physical activity. We draw on social science studies to gain insights into why this is so.ConclusionsPhysical inactivity among Arab adults and children/adolescents is high. Studies using harmonized approaches, rigorous analytic techniques and a deeper examination of context are needed to design appropriate interventions.

Patterns and Determinants of Physical Inactivity in Rural and Urban Areas in Peru: A Population-Based Study.

Physical inactivity and sedentary behaviors have been linked with impaired health outcomes. Establishing the physical inactivity profiles of a given population is needed to establish program targets and to contribute to international monitoring efforts. We report the prevalence of, and explore sociodemographical and built environment factors associated with physical inactivity in 4 resource-limited settings in Peru: rural Puno, urban Puno, Pampas de San Juan de Miraflores (urban), and Tumbes (semiurban). Cross-sectional analysis of the CRONICAS Cohort Study's baseline assessment. Outcomes of interest were physical inactivity of leisure time (<600 MET-min/week) and transport-related physical activity (not reporting walking or cycling trips) domains of the IPAQ, as well as watching TV, as a proxy of sedentarism (≥2 hours per day). Exposures included demographic factors and perceptions about neighborhood's safety. Associations were explored using Poisson regression models with robust standard errors. Prevalence ratios (PR) and 95% confidence intervals (95% CI) are presented. Data from 3593 individuals were included: 48.5% males, mean age 55.1 (SD: 12.7) years. Physical inactivity was present at rates of 93.7% (95% CI 93.0%-94.5%) and 9.3% (95% CI 8.3%-10.2%) within the leisure time and transport domains, respectively. In addition, 41.7% (95% CI 40.1%-43.3%) of participants reported watching TV for more than 2 hours per day. Rates varied according to study settings (P < .001). In multivariable analysis, being from rural settings was associated with 3% higher prevalence of leisure time physical inactivity relative to highly urban Lima. The pattern was different for transport-related physical inactivity: both Puno sites had around 75% to 50% lower prevalence of physical inactivity. Too much traffic was associated with higher levels of transport-related physical inactivity (PR = 1.24; 95% CI 1.01-1.54). Our study showed high levels of inactivity and marked contrasting patterns by rural/urban sites. These findings highlight the need to generate synergies to expand nationwide physical activity surveillance systems.

Determinants of physical inactivity in the patients with coronary artery disease

Determinants of physical inactivity in the patients with coronary artery disease

Predictors of Physical Inactivity in Elderly Patients with Chronic Obstructive Pulmonary Disease

Aging may contribute to decreased physical activity in chronic obstructive pulmonary disease (COPD). We explored the predictors of physical inactivity in older patients with COPD. Thirty male patients with clinically stable COPD participated in the study (age 66.9 ± 4.3 years, forced expiratory volume in 1 second [FEV 1 , % of predicted] 52.6 ± 24.6%). Patient characteristics were recorded. Pulmonary function testing was performed and disease stage was determined using the Global Initiative for Chronic Obstructive Pulmonary Disease (GOLD) classification system. Maximal inspiratory and expiratory muscle strength and quadriceps muscle strength were determined using a hand-held device. Dyspnea perception was assessed using the modified Medical Research Council (MMRC) scale. Functional capacity was evaluated using a 6-minute walk test (6MWT). Heart rate and oxygen saturation were recorded before and after 6MWT. Physical activity was assessed using the International Physical Activity Questionnaire (IPAQ). In elderly COPD patients, the IPAQ sitting score was significantly related to 6MWT distance ( r = −0.51), GOLD stage ( r = 0.52), paroxysmal nocturnal dyspnea ( r = −0.42) and orthopnea ( r = −0.50), MMRC score ( r = 0.40), FEV 1 ( r = −0.48), FEV 1 /forced vital capacity (FVC) ( r = −0.47), forced expiratory flow between 25% and 75% of FVC ( r = −0.43), peak expiratory flow ( r = −0.43), baseline heart rate ( r = 0.40), change in heart rate ( r = −0.46), and baseline oxygen saturation ( r = −0.43, p < 0.05). GOLD stage, change in heart rate, and orthopnea independently predicted the IPAQ sitting score ( R = 0.732, R 2 = 0.536, F (1,24) = 4.769, p = 0.039). Disease severity, heart rate response to exercise, and orthopnea are determinants of physical inactivity in elderly COPD.

Addressing physical inactivity in Omani adults: perceptions of public health managers.

To explore barriers and solutions to addressing physical inactivity and prolonged sitting in the adult population of Oman. Qualitative study involving semi-structured interviews that took place from October 2011 to January 2012. Participants were recruited through purposive sampling. Data collection and analysis was an iterative process; later interviews explored emerging themes. Interviews were audio-recorded and transcribed and continued until data saturation; this occurred by the tenth interviewee. Thematic content analysis was carried out, guided by an ecological model of health behaviour. Muscat, Oman. Ten mid-level public health managers. Barriers for physical inactivity were grouped around four themes: (i) intrapersonal (lack of motivation, awareness and time); (ii) social (norms restricting women's participation in outdoor activity, low value of physical activity); (iii) environment (lack of places to be active, weather); and (iv) policy (ineffective health communication, limited resources). Solutions focused on culturally sensitive interventions at the environment (building sidewalks and exercise facilities) and policy levels (strengthening existing interventions and coordinating actions with relevant sectors). Participants' responses regarding sitting time were similar to, but much more limited than those related to physical inactivity, except for community participation and voluntarism, which were given greater emphasis as possible solutions to reduce sitting time. Given the increasing prevalence of chronic disease in Oman and the Arabian Gulf, urgent action is required to implement gender-relevant public health policies and programmes to address physical inactivity, a key modifiable risk factor. Additionally, research on the determinants of physical inactivity and prolonged sitting time is required to guide policy makers.

Physical Activity in Arab Women in Southern California

The limited research of Arab women suggests that most are sedentary. Given the known health benefits of physical activity suggests that the study of physical activity of women in Southern California where the climate favors year round outdoor activities is warranted. To describe Arab women's cardiovascular risk factors (CVD): physical activity levels, self-efficacy, and determinants of physical inactivity and their preferences for physical activity programs. This cross-sectional design used the International Physical Activity Questionnaire (IPAQ), Exercise Self-Efficacy Scale, Choose to Move Questionnaire, and "How America Measures Up" Questionnaire. The mean age of the 180 women was 37.6 (±12.9). Most (91.1%) had ≥high school education, 68.9% were married, and 24.4% were below poverty level. CVD risk factors were: hypertension 20.6%; hyperlipidemia 21.1%; diabetes 10%; and excess weight in 60%. Their self-efficacy scores were 39.2 (±18.2); and 46.2% were sedentary. A logistic regressions analysis found statistically significant determinant(s) for physical inactivity performance were low self-efficacy score and "not being born in the U.S." These young Arab women are considerably physically inactive and overweight. The findings from our study can guide culturally relevant health promotion programs in Arab women who have unique needs and preferences.

Epidemiology of physical inactivity in Poland: Prevalence and determinants in a former communist country in socioeconomic transition

The aim of this study was to identify physical activity patterns and determinants of physical inactivity in a representative sample of Polish adults. A cross-sectional analysis of 14 769 randomly selected individuals (52.7% women and 47.3% men) aged 20-74 years participating in the National Polish Health Survey, WOBASZ (2002-2005). Sociodemographic and lifestyle details were collected. Assessment of physical activity was based on selected questions from the CINDI Health Monitor Questionnaire. Approximately 35% of Polish adults are not physically active in leisure time, whilst 39.5% declare sufficient level of leisure-time physical activity. Leisure-time inactivity is significantly less likely in persons aged <35 years, those with university education and those living in rural areas. Almost 48% of men and 28.4% of women employed full- or part-time report highly active work, whilst sedentary work is reported by 42.7% of women and 30.2% of men. Low occupational activity is more prevalent in young adults, persons with university education and those living in large urban areas. Nearly 67% of the entire working population report no active commuting. There is a need to promote various forms of physical activity, with special attention on active commuting and leisure-time activities across both genders and all age groups. Public health policies and programmes should focus on substantial differences between various sociodemographic groups.

Determinants of Physical Inactivity Among Men and Women From Greece: A 5-Year Follow-Up of the ATTICA Study

We sought to evaluate factors that are associated with physical activity changes among adults within a 5-year period. From May 2001 to December 2002 we randomly enrolled 1514 men and 1528 women without any evidence of cardiovascular or any other chronic disease. The sampling was stratified by the age-gender distribution of the greater area of Athens. Weekly energy expenditure assessed by considering frequency, duration, and intensity of sports-related physical activity. During 2006, the 5-year follow-up was performed in 1955 participants, which included, among others, current physical activity status. A total of 587 (61%) men and 673 (68%) women were classified as physically inactive at baseline, whereas 661 (69%) men and 728 (73%) women were classified as physically inactive at follow-up; thus, a 13% increase in physical inactivity rate was observed in men and a 7% in women during the follow-up period (p < 0.01). Multivariate analysis revealed that male gender, being a nonsmoker, healthy eating, better self-reported quality-of-life, and lower prevalence of hypercholesterolemia and incidence of cardiovascular disease were the characteristics of people that remained physically active; advanced age, anxiety and depression, overweight, and low quality-of-life were the baseline predictors of physical inactivity among initially active participants, which also had a greater incidence of cardiovascular disease. Gender, aging, psychological disorders, body mass, smoking, dietary habits, perceived health status, and quality-of-life were the most important discriminating factors of physical activity changes.

Factors Related to Non-Participation in Physical Activity Among the Students in Hong Kong

The patterns and determinants of physical inactivity among the Chinese youths are unknown. This study assessed the prevalence and predictors of physical inactivity among students in a Hong Kong university. A cross-sectional survey of year 1 and year 3 Chinese undergraduate students in 1997, using a structured, self-administered questionnaire was carried out. Questionnaires were returned by 64 % (1189/1849) of the students. Thirty-one percent of the respondents did not participate in physical activity. Being female, not a university resident, studying in the Faculty of Arts and rating current health status as poor or very poor were predictors of physical inactivity. No time and no interest were the most common reasons for non-participation in physical activity among the students. This study showed that about one-third of Chinese university students are physically inactive and would gain health benefits from organized intervention. Awareness among the students about the risks of physical inactivity should be enhanced and efforts made to increase physical activity should be reinforced. Factors identified as predictors of physical inactivity should be taken into account in the design of intervention.