scholarly journals Physical Activity and Associated Socioeconomic Determinants in Rural and Urban Tanzania: Results from the 2012 WHO-STEPS Survey

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Fredirick L. Mashili ◽  
Gibson B. Kagaruki ◽  
Joseph Mbatia ◽  
Alphoncina Nanai ◽  
Grace Saguti ◽  
...  
Keyword(s):  
Physical Activity ◽  
Low Income ◽  
Physical Inactivity ◽  
Social Economic ◽  
Statistical Significance ◽  
Female Gender ◽  
Low Income Countries ◽  
Noncommunicable Diseases ◽  
Rural And Urban ◽  
Steps Survey

Background. Physical inactivity contributes to the rising prevalence of noncommunicable diseases (NCDs). Given the rapidly increasing prevalence of NCDs in Low-Income Countries (LICs), comprehensive evaluation and documentation of physical activity (PA) status in this setting are crucial. Methods. We examined the demographic and social-economic antecedents of PA among adults (5398) from the 2012 Tanzania STEPS survey data. Statistical significance at the level of 0.05 was used to measure the strength of associations. Results. Majority of study participants attained the WHO-recommended levels of physical activity (96.7%). Levels were higher among those living in rural than in urban settings (98% versus 92%,  p<0.0001) and generally, urban residency, female gender, higher education achievement, and employment were significantly associated with low levels of PA. Participation in the different domains of PA (work, transport, and recreational) varied with living setting, levels of education, and employment status. Conclusion. These results describe PA status and associated social-economic determinants among adults in rural and urban Tanzania. The findings contribute to the growing evidence that implicates urbanization as a key driver for the growing prevalence of physical inactivity in LICs and underscore the need for tailored PA interventions based on demography and social-economic factors.

scholarly journals Prevalence, Patterns and Predictors of physical activity in Urban Population of Bhubaneswar smart city, India

2020 ◽  
Author(s):  
Satyajit Mohanty ◽  
Jyotiranjan Sahoo ◽  
Epari Venkatarao ◽  
G Ganesh Shankar ◽  
Sandeep Kumar Panigrahi
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
Urban Population ◽  
Structural Model ◽  
Statistical Significance ◽  
Stage Of Change ◽  
Noncommunicable Diseases ◽  
Activity Levels ◽  
Marginal Structural Model ◽  
Cross Sectional

AbstractBackgroundPhysical inactivity is a risk factor for mortality and morbidity. Physical activity and its predictors among urban population in this part of the country was unknown. Finding physical inactivity as a cause of current noncommunicable diseases (NCD) is difficult.ObjectivesTo find out the prevalence, patterns and predictors of physical activity in urban population, and investigate its causal relationship with NCD.Materials and methodsIt was a cross-sectional study using cluster random sampling. Sample size was 1203. Socio-demographic, health profile, physical activity levels, and stage of change for physical activity behaviour were collected. was used for analysis. Logistic regression and marginal structural model analysis (by IPTW) were done using IBM SPSS 20.0.Statistical significance were tested at p=0.05.Results1221 subjects participated. Mean age was 35.25 years. 71.9% were physically inactive, 15.9% practised ‘yogasana’. General caste, presence of NCD, being in a static stage of change and a yogassana practitioner influenced physical activity positively. Physical inactivity had 1.54 times higher odds for NCD and was statistically significant.ConclusionPrevalence of physical activity was low. Physical inactivity was a causative factor for NCD.

scholarly journals The GoPA! Second Set of Country Cards Informing Decision Making for a Silent Pandemic

2021 ◽  
pp. 1-2
Author(s):  
Andrea Ramírez Varela ◽  
Michael Pratt
Keyword(s):  
Physical Activity ◽  
Low Income ◽  
Physical Inactivity ◽  
Critical Role ◽  
World Health ◽  
Low Income Countries ◽  
Unequal Distribution ◽  
Global Pandemic ◽  
Activity Promotion ◽  
The World

In 2012, the Global Observatory for Physical Activity (GoPA!) was established to provide information that would enable countries to initiate or improve research capacity, surveillance systems, program development, and policymaking to increase physical activity levels. Findings from the first GoPA! Country Cards showed an unequal distribution of physical activity surveillance, research productivity, and policy development and implementation around the world. Regular global monitoring of these factors, especially in countries with the largest data gaps, was recommended to combat the global pandemic of physical inactivity. After 6 years and using standardized methods, GoPA! is launching the second set of Country Cards based on data up to 2019 from 217 countries. Overall results showed that periodic national surveillance of physical activity was less common in low-income countries, compared with middle- and high-income countries. Large inequities were seen with more than a 50-fold difference in publications between high- and low-income countries and 32% of the countries worldwide had no physical activity policy. GoPA! has a critical role in facilitating evidence-based physical activity promotion building on international guidelines and the World Health Organization Global Action Plan. GoPA! will continue to monitor progress as we battle the global pandemic of physical inactivity.

scholarly journals Overweight/Obesity and Associated Factors Among Second Cycle Primary School Children in Kirkos Sub-City, Addis Ababa, Ethiopia

2021 ◽  
Vol 10 ◽  
pp. 216495612110178
Author(s):  
Kidus Fitsum ◽  
Gudina Egata ◽  
Melake Demena ◽  
Berhe Gebremichael
Keyword(s):  
Primary School ◽  
School Children ◽  
Low Income ◽  
Private School ◽  
Associated Factors ◽  
Addis Ababa ◽  
Statistical Significance ◽  
Primary School Children ◽  
Low Income Countries ◽  
Public Health Issue

Background Although overweight/obesity is becoming a public health issue in low income countries, there is a paucity of evidence concerning overweight/obesity in Ethiopia. The aim of the study was to assess the magnitude of overweight/obesity and associated factors among second cycle primary school children in Kirkos Sub-City, Addis Ababa, Ethiopia. Methods A school based cross-sectional study was conducted among 482 children from May to June, 2019. Data were collected using a questionnaire and checklist. Data were entered using EpiData version 3.1 and exported into SPSS version 22.0. Bivariable and multivariable logistic regression analyses were done to identify factors associated with overweight/obesity. Level of statistical significance was declared at p ≤ 0.05. Results The overall magnitude of overweight/obesity was 21.2%. The magnitude of overweight was 13.7% while obesity was 7.5%. Vehicle availability, being from private school, not having friend(s), preferring sweet foods, eating breakfast irregularly, watching movies/Television while eating and physical inactivity were the factors significantly associated with overweight/obesity among second cycle primary school children. Conclusions The magnitude of overweight/obesity was high in the study area. Therefore, health and education sectors should promote healthy lifestyle to curb child overweight/obesity.

scholarly journals Evaluation of a Low-Cost Commercial Actigraph and Its Potential Use in Detecting Cultural Variations in Physical Activity and Sleep

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3774
Author(s):  
Pavlos Topalidis ◽  
Cristina Florea ◽  
Esther-Sevil Eigl ◽  
Anton Kurapov ◽  
Carlos Alberto Beltran Leon ◽  
...  
Keyword(s):  
Physical Activity ◽  
Low Income ◽  
Large Scale ◽  
Low Cost ◽  
Low Income Countries ◽  
Time Data ◽  
Cultural Variations ◽  
Step Counts ◽  
Scale Step ◽  
Potential Use

The purpose of the present study was to evaluate the performance of a low-cost commercial smartwatch, the Xiaomi Mi Band (MB), in extracting physical activity and sleep-related measures and show its potential use in addressing questions that require large-scale real-time data and/or intercultural data including low-income countries. We evaluated physical activity and sleep-related measures and discussed the potential application of such devices for large-scale step and sleep data acquisition. To that end, we conducted two separate studies. In Study 1, we evaluated the performance of MB by comparing it to the GT3X (ActiGraph, wGT3X-BT), a scientific actigraph used in research, as well as subjective sleep reports. In Study 2, we distributed the MB across four countries (Austria, Germany, Cuba, and Ukraine) and investigated physical activity and sleep among these countries. The results of Study 1 indicated that MB step counts correlated highly with the scientific GT3X device, but did display biases. In addition, the MB-derived wake-up and total-sleep-times showed high agreement with subjective reports, but partly deviated from GT3X predictions. Study 2 revealed similar MB step counts across countries, but significant later wake-up and bedtimes for Ukraine than the other countries. We hope that our studies will stimulate future large-scale sensor-based physical activity and sleep research studies, including various cultures.

The active grandparent hypothesis: Physical activity and the evolution of extended human healthspans and lifespans

2021 ◽  
Vol 118 (50) ◽  
pp. e2107621118
Author(s):  
Daniel E. Lieberman ◽  
Timothy M. Kistner ◽  
Daniel Richard ◽  
I-Min Lee ◽  
Aaron L. Baggish
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
Disease Risk ◽  
Energy Allocation ◽  
Noncommunicable Diseases ◽  
The Novel ◽  
Physically Active ◽  
Proximate Mechanisms ◽  
Aging Populations ◽  
Selection For

The proximate mechanisms by which physical activity (PA) slows senescence and decreases morbidity and mortality have been extensively documented. However, we lack an ultimate, evolutionary explanation for why lifelong PA, particularly during middle and older age, promotes health. As the growing worldwide epidemic of physical inactivity accelerates the prevalence of noncommunicable diseases among aging populations, integrating evolutionary and biomedical perspectives can foster new insights into how and why lifelong PA helps preserve health and extend lifespans. Building on previous life-history research, we assess the evidence that humans were selected not just to live several decades after they cease reproducing but also to be moderately physically active during those postreproductive years. We next review the longstanding hypothesis that PA promotes health by allocating energy away from potentially harmful overinvestments in fat storage and reproductive tissues and propose the novel hypothesis that PA also stimulates energy allocation toward repair and maintenance processes. We hypothesize that selection in humans for lifelong PA, including during postreproductive years to provision offspring, promoted selection for both energy allocation pathways which synergistically slow senescence and reduce vulnerability to many forms of chronic diseases. As a result, extended human healthspans and lifespans are both a cause and an effect of habitual PA, helping explain why lack of lifelong PA in humans can increase disease risk and reduce longevity.

scholarly journals Prevalence of physical inactivity and associated factors among adolescents from public schools in Uruguaiana, Rio Grande do Sul State, Brazil

2013 ◽  
Vol 29 (11) ◽  
pp. 2217-2229 ◽  
Author(s):  
Gabriel Gustavo Bergmann ◽  
Mauren Lúcia de Araújo Bergmann ◽  
Alexandre Carriconde Marques ◽  
Pedro Curi Hallal
Keyword(s):  
Physical Activity ◽  
Public Schools ◽  
Physical Education ◽  
Physical Inactivity ◽  
Associated Factors ◽  
Female Gender ◽  
Older Children ◽  
Cross Sectional ◽  
Behavioral Variables ◽  
Cross Sectional Design

This study aimed to identify the prevalence of physical inactivity and associated factors in adolescents, using a cross-sectional design with a sample of 1,455 adolescents (741 females). Data were collected using a questionnaire consisting of socio-demographic, perceptual, and behavioral variables. Physical activity was estimated with the Physical Activity Questionnaire for Older Children and Adolescents. Prevalence of physical inactivity was 68% (95%CI: 65.6%-70.4%). The following variables remained associated with physical inactivity in the adjusted analysis (p < 0.05): living in an apartment, female gender, older adolescents, lower self-rated physical activity compared to peers, low perception of maternal physical activity, passive commuting to school, non-participation in physical education at school, non-enjoyment of physical education classes, and limited involvement in other types of physical exercise besides physical education at school. There were a high proportion of inactive adolescents. Strategies to prevent physical inactivity in adolescents should be elaborated with a central role for the school and family.

scholarly journals Prevalence and associated factors of neurodevelopmental disability among infants in eastern Uganda: a population based study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Gertrude Namazzi ◽  
Helena Hildenwall ◽  
Paul Mubiri ◽  
Claudia Hanson ◽  
Christine Nalwadda ◽  
...  
Keyword(s):  
Low Income ◽  
Social Behaviour ◽  
Assessment Tool ◽  
Statistical Significance ◽  
Low Income Countries ◽  
Fine Motor ◽  
Neurodevelopmental Outcomes ◽  
Factors Associated ◽  
Neurodevelopmental Disability ◽  
Eastern Uganda

Abstract Background Neurodevelopmental disability (NDD) is increasingly acknowledged as one of the important causes of disease burden in low income countries. None the less, there is a dearth of data on the burden of NDD and its determinants in these settings. We aimed to establish the prevalence and factors associated with NDD among infants in Eastern Uganda. Methods We assessed 487 infants aged 9–12 months within Iganga-Mayuge Health Demographic Surveillance Site in Eastern Uganda using the Malawi Developmental Assessment Tool. The tool has four domains: gross motor, fine motor, language and social domains. An infant failed a domain if she/he failed more than two parameters of the expected at his/her age. We interviewed mothers on factors that could influence the infants’ neurodevelopmental outcomes. Data were analysed using STATA version 14. We used odds ratios and 95% confidence intervals to assess statistical significance of associations. Results Of the 487 infants, 62(12.7%) had an NDD in at least one of the domains. The most affected was social behaviour where 52(10.7%) infants had an NDD. Severe impairment was seen among 9(1.8%) infants with NDD in either three or four domains. Factors associated with NDD at multivariate logistic regression included: parity of more than three children (aOR = 1.8, 95% CI: 1.02–3.18); failure to cry at birth (aOR = 3.6, 95% CI: 1.46–9.17) and post-neonatal complications (aOR = 4.15, 95% CI: 1.22–14.10). Low birth weight, immediate and exclusive breast feeding were not significantly associated with NDD. Conclusion We found a high NDD burden among infants particularly in the social behaviour domain. To optimise the socio-neural development of infants, programs are needed to educate and work with families on how to engage and stimulate infants. Existing immunisation clinics and community health worker strategies provide an excellent opportunity for stemming this burden.

scholarly journals Sleep and BMI in South African urban and rural, high and low-income preschool children

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dale E. Rae ◽  
Simone A. Tomaz ◽  
Rachel A. Jones ◽  
Trina Hinkley ◽  
Rhian Twine ◽  
...  
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
South African ◽  
Low Income ◽  
Urban Environments ◽  
Z Score ◽  
Cross Sectional ◽  
Rural And Urban ◽  
Sleep Parameters ◽  
Z Scores

Abstract Background The extent to which income setting or rural and urban environments modify the association between sleep and obesity in young children is unclear. The aims of this cross-sectional observational study were to (i) describe and compare sleep in South African preschool children from rural low-income (RL), urban low-income (UL) and urban high-income (UH) settings; and (ii) test for associations between sleep parameters and body mass index (BMI). Methods Participants were preschoolers (5.2 ± 0.7y, 49.5% boys) from RL (n = 111), UL (n = 65) and UH (n = 22) settings. Height and weight were measured. Sleep, sedentary behaviour and physical activity were assessed using accelerometery. Results UL children had higher BMI z-scores (median: 0.39; interquartile range: − 0.27, 0.99) than the UH (− 0.38; − 0.88, 0.11) and RL (− 0.08; − 0.83, 0.53) children (p = 0.001). The UL children had later bedtimes (p < 0.001) and wake-up times (p < 0.001) and shorter 24 h (p < 0.001) and nocturnal (p < 0.001) sleep durations than the RL and UH children. After adjusting for age, sex, setting, SB and PA, for every hour less sleep obtained (24 h and nocturnal), children were 2.28 (95% CI: 1.28–4.35) and 2.22 (95% CI: 1.27–3.85) more likely, respectively, to belong to a higher BMI z-score quartile. Conclusions Shorter sleep is associated with a higher BMI z-score in South African preschoolers, despite high levels of PA, with UL children appearing to be particularly vulnerable.

scholarly journals The effect of physical activity on mortality and cardiovascular disease in 130 000 people from 17 high-income, middle-income, and low-income countries: the PURE study

The Lancet ◽  
2017 ◽  
Vol 390 (10113) ◽  
pp. 2643-2654 ◽  
Author(s):  
Scott A Lear ◽  
Weihong Hu ◽  
Sumathy Rangarajan ◽  
Danijela Gasevic ◽  
Darryl Leong ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cardiovascular Disease ◽  
Low Income ◽  
High Income ◽  
Low Income Countries ◽  
Middle Income

Abstract P140: High Poverty Among Patients With Noncommunicable Diseases in Rural Haiti

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Gene F Kwan ◽  
Benito Isaac ◽  
Lily Yan ◽  
Waking Jean-Baptiste ◽  
Densa Belony ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Low Income ◽  
Child Death ◽  
Health Spending ◽  
Low Income Countries ◽  
Noncommunicable Diseases ◽  
Major Barrier ◽  
Catastrophic Health Spending ◽  
Poverty Indicators ◽  
Clinic Visits

Background: Noncommunicable diseases (NCDs) are a major and growing cause of death and disability in low-income countries, and contribute a substantial portion of outpatient clinic visits. Poverty can be a major barrier to accessing healthcare in rural low-income countries. The objective of this study is to describe the demographics and socioeconomic status of patients attending an NCD clinic in rural Haiti, where poverty is highly prevalent. Methods: We analyzed routinely collected clinic data from adult patients in rural Haiti presenting to the NCD clinic at Hôpital Universitaire de Mirebalais. We collected data during routine initial clinic visits from July 2013 through October 2016. We performed descriptive statistics to assess patient demographics and socioeconomic status using available data. We evaluated poverty based on the Multidimensional Poverty Index by evaluating 9 indicators within three dimensions: health, education, and standard of living - we did not assess electricity. We assessed deprivation within each indicator. The “poorest” patients were defined as those deprived in 4 of the 9 poverty indicators. We also assessed measures of catastrophic health spending. Results: A total of 518 adults were included, with 72% (373/508) women. The mean overall age was 52.8 years (SD 14.7) and 21% (108/518) were 40 years old or younger. Of the patients, 32% had only hypertension, 18% had only diabetes, 32% had both diabetes and hypertension, 5% had heart failure, and 13% had no recorded diagnosis. 45% of patients travel more than 1 hour for clinic visits. Almost half (49%, 146/296) of adults sold belongings and 61% (178/292) borrowed money to pay for healthcare. Among the poverty measures, the top indicators with deprivation were cooking fuel with charcoal or wood (96%, 290/302), child death in household (70%, 169/243), and no household members completing primary school (25%, 83/324), lack of household assets (25%, 79/313), poor sanitation (19%, 59/304), dirt floor (16%, 50/304), and lack of improved drinking water (9%, 29/308). Of all patients, 21% (78/378) were among the poorest. Throughout Haiti, however, 55% of the population are among the poorest. There were more patients among the poorest living closer to the hospital (27%) than living farther away (10%). Interpretation: The great majority of patients were middle-aged women, with predominantly hypertension and/or diabetes. Socioeconomic deprivation was high among many poverty indicators and most patients experienced catastrophic health spending. At this clinic in rural Haiti, the proportion of patients presenting for care who are among the poorest is less than that overall in Haiti. Patients who travel far distances have less poverty. Health systems for chronic disease management in rural low-income countries must account for patient poverty.

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