Do physical activity and sedentary behavior relate to cardio‐metabolic risk factor clustering in indigenous <scp>S</scp>iberian adults?

Wilson, Hannah; Leonard, William R.; Tarskaia, Larissa A.; Климова, Т.М.; Krivoshapkin, Vadim G.; Snodgrass, J. Josh

doi:10.1002/ajhb.22625

Cited by 4 publications

(13 citation statements)

References 64 publications

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“…Numerous studies among Indigenous peoples globally and in Brazil have shown an association between physical inactivity and body composition, as measured by BMI or other proxies [23,63,65,[76][77][78]. In the present study, no significant relationship was encountered between physical inactivity and BMI.…”

Section: Discussioncontrasting

confidence: 68%

“…For example, studies using IPAQ instruments show the Inuit in Canada and the Dakota in the United States have physical inactivity rates similar to or below our findings for the Xavante [62,63]. Studies using other methodologies, such as pedometers and other questionnaires, have reported physical inactivity rates above 50 % among Aboriginals and Torres Strait Islanders, Australia and Yakut (Sakha) in Siberia, and predominantly Indigenous urban youth (15 to 23 years) in Ghana [64][65][66][67].…”

Section: Discussionsupporting

confidence: 59%

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Prevalence of physical inactivity and associated socioeconomic indicators in indigenous Xavante communities in Central Brazil

et al. 2016

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Background: Among numerous factors linked to nutrition transition globally, physical inactivity has been identified as a key triggering factor. At present, little is known about physical activity patterns among the Indigenous population in Brazil, which exhibits higher prevalence rates of excess weight than the non-Indigenous population. The present study aims to characterize physical inactivity and associated socioeconomic factors among members of two Xavante villages in Central Brazil. Methods: This study population included individuals ≥ 18 years of age residing in Pimentel Barbosa and Etênhiritipá villages, Pimentel Barbosa Indigenous Reserve, Mato Grosso State, Brazil. Physical activity data were collected in February 2011 using an adaptation of the short version of the International Physical Activity Questionnaire (IPAQ). Bivariate and multivariate analyses were conducted to assess associations between variables. Results: Of a total eligible population of 256 adults, 82.4 % participated in the study. The overall prevalence of physical inactivity was 17.5 %, markedly lower than has been described using similar methods for the global and overall Brazilian populations. The prevalence rates of overweight and obesity were 52.1 and 21.8 %, respectively. Physical inactivity was more prevalent among males (22.4 %) than females (14.4 %), although this difference was not statistically significant. In the final multivariate model, physical inactivity was more prevalent among individuals ≥ 60 years of age (PR 2.00, CI 95% 1.02-3.92) and members of households with a television (PR 1.76, CI 95% 1.01-3.05). Individuals in households that planted a garden the prior year were less likely to be physically inactive, although the level of significance was slightly greater than 0.05 (PR 0.55, CI 95% 0.29-1.01). Conclusions: Our findings suggest that the Xavante pattern of physical inactivity differs from the country's non-Indigenous population in that age-related increases appear later in life and subsistence activities contribute importantly. Physical inactivity among Indigenous peoples in Brazil deserves greater attention due to indications it is not always related to nutrition transition in the same manner as in non-Indigenous populations.

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Section: Discussioncontrasting

confidence: 68%

Section: Discussionsupporting

confidence: 59%

Prevalence of physical inactivity and associated socioeconomic indicators in indigenous Xavante communities in Central Brazil

et al. 2016

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“…Thirteen papers reported a negative association between sedentary time and HDL‐C (three papers did not adjust for PA and two became non‐significant following adjustment for MVPA ). Fifteen papers reported no significant association between sedentary time and HDL‐C . Sedentary time and low‐density lipoprotein cholesterol (LDL‐C) were positively associated in two papers , neither of which was adjusted for PA. Twelve papers found no significant association between sedentary time and LDL‐C .…”

Section: Resultsmentioning

confidence: 99%

“…From the included papers, 10 came from NHANES , three from AusDiab , three from the Whitehall II Study , two from HSE , two from RISC study and one each from the Generation 100 Study , EVIDENT study , Leuven Longitudinal Study on Lifestyle, Fitness and Health (LLSLFH) , Swedish CArdioPulmonary bioImage Study (SCPIS) , International Physical Activity and the Environment Network Adult Study , New Method for Objective Measurements of Physical Activity in Daily Living study , Hispanic Community Health Study/Study of Latinos and Canadian Health Measures Survey . The remaining 16 papers were all individual/stand‐alone studies . For the meta‐analysis, the aggregated sample size and mean age ( n , years) for the five included health markers were fasting glucose (25,356, 41.6), fasting insulin (10,474, 37.0), triglycerides (26,562, 42.4), HDL‐C (29,582, 46.1) and waist circumference (16,842, 44.6).…”

Section: Resultsmentioning

confidence: 99%

“…When SDs were not provided, SD was estimated from standard error (SE) (33, 35,43,48,49) or 95% confidence interval (CI) (29,50). When exact means were not provided, standard mean difference was converted from unadjusted correlation coefficients and estimated SE r (41,42,(54)(55)(56)(57)(58)(59) or converted from unadjusted odds ratio and estimated SE OR (36,60) according to accepted methods (51)(52)(53). Increased values of each health outcome compared to the lowest level of sedentary time resulted in a positive effect size.…”

Section: Effect Size Calculationmentioning

confidence: 99%

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The cross‐sectional associations between objectively measured sedentary time and cardiometabolic health markers in adults – a systematic review with meta‐analysis component

et al. 2017

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Sedentary time is viewed as an independent risk factor for adverse cardiometabolic health (CMH). No systematic review and meta-analysis on the cross-sectional associations between objectively measured sedentary time and CMH markers has been conducted. PubMed, Scopus and Web of Science Core Collection were searched for papers that examined the cross-sectional association between objectively measured sedentary time and CMH markers in adults. Forty-six papers met the inclusion criteria. The included papers had a combined sample size of 70,576 and an age range of 18-87 years. To examine the effect of increased levels of sedentary time on CMH markers, data on effect sizes and moderators were extracted, where possible. By pooling the unadjusted data from the included papers, increased sedentary time was shown to have a significant detrimental association with fasting glucose (Δ = 0.12, 95% confidence interval [CI]: 0.02, 0.23), fasting insulin (Δ = 0.19, 95% CI: 0.06, 0.32), triglycerides (Δ = 0.25, 95% CI: 0.14, 0.37), high-density lipoprotein cholesterol (Δ = -0.20, 95% CI: -0.28, -0.13) and waist circumference (Δ = 0.25, 95% CI: 0.15, 0.35). How sedentary time was quantified and the device used to measure sedentary time significantly influence the size of the effect reported. Future interventions focused on both decreasing sedentary time and increasing physical activity may be the most effective strategy to improve CMH.

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Bringing the lab bench to the field: Point‐of‐care testing for enhancing health research and stakeholder engagement in rural/remote, indigenous, and resource‐limited contexts

Madimenos

Gildner

Eick

et al. 2022

American J Hum Biol

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Point-of-care testing (POCT) allows researchers and health-care providers to bring the lab bench to the field, providing essential health information that can be leveraged to improve health care, accessibility, and understanding across clinical and research settings. Gaps in health service access are most pronounced in what we term RIR settings-rural/remote regions, involving Indigenous peoples, and/or within resource-limited settings. In these contexts, morbidity and mortality from infectious and non-communicable diseases are disproportionately higher due to numerous geographic, economic, political, and sociohistorical factors. Human biologists and global health scholars are well-positioned to contribute on-the-groundlevel insights that can serve to minimize global health inequities and POCT has the potential to augment such approaches. While the clinical benefits of POCT include increasing health service access by bringing testing, rapid diagnosis, and treatment to underserved communities with limited pathways to centralized laboratory testing, POCT also provides added benefits to both health-focused researchers and their participants. Through portable, minimally invasive devices, researchers can provide actionable health data to participants by coupling POCT with population-specific health education, discussing results and their implications, creating space for participants to voice concerns, and facilitating linkages to treatment. POCT can also strengthen human biology research by shedding light on questions of evolutionary and biocultural importance. Here, we expand on the epidemiological and research value, as well as practical and ethical challenges of POCT across stakeholders (i.e., participant, community, health researcher, and trainee). Finally, we emphasize the immense opportunities of POCT for fostering collaborative research and enhancing access to health delivery and information and, by extension, helping to mitigate persistent global health inequities.

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Do physical activity and sedentary behavior relate to cardio‐metabolic risk factor clustering in indigenous Siberian adults?

Cited by 4 publications

References 64 publications

Prevalence of physical inactivity and associated socioeconomic indicators in indigenous Xavante communities in Central Brazil

Prevalence of physical inactivity and associated socioeconomic indicators in indigenous Xavante communities in Central Brazil

The cross‐sectional associations between objectively measured sedentary time and cardiometabolic health markers in adults – a systematic review with meta‐analysis component

Bringing the lab bench to the field: Point‐of‐care testing for enhancing health research and stakeholder engagement in rural/remote, indigenous, and resource‐limited contexts

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