Neighborhood Walking Among Overweight and Obese Adults: Age Variations in Barriers and Motivators

Lee, Chanam; Ory, Marcia G.; Yoon, Jeongjae; Forjuoh, Samuel N.

doi:10.1007/s10900-012-9592-6

Cited by 64 publications

(47 citation statements)

References 32 publications

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“…This low recruitment yield is unfortunately typical in survey-based studies in primary care settings with older adults [49, 50]. We are aware that we do not have a clinical population representative of our integrated health care system.…”

Section: Discussionmentioning

confidence: 99%

Social and environmental predictors of walking among older adults

Ory

Towne

Won³

et al. 2016

BMC Geriatr

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Section: Discussionmentioning

confidence: 99%

Social and environmental predictors of walking among older adults

Ory

Towne

Won³

et al. 2016

BMC Geriatr

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“…Apesar das dificuldades ocasionadas pelo sobrepeso, autores apontam que indivíduos acima do peso ideal podem vir a ser ativos e aptos a determinadas tarefas físicas (DaSilva et al, 2009), além de motivados (Lee, Ory, Yoon, & Forjuoh, 2013). Quanto à frequência em que estas AFs são realizadas, quando associada ao índice de massa corporal (IMC) e à insatisfação com o peso corporal, não foram encontradas diferenças significativas (de Araújo & de Araú-jo, 2003).…”

Section: Introductionunclassified

“…Além dos fatores citados anteriormente deve-se atentar também que os jovens adultos, obesos e idosos apresentam distintos motivos para a prática de suas AFs (Lee et al, 2013;Quindry et al, 2011). Os profissionais, ao prescreverem programas de exercícios físicos, devem levar em conta as características dos praticantes, pois estas podem ter uma influência direta no comportamento ativo ou inativo dos indiví-duos.…”

Section: Introductionunclassified

O impacto das características individuais na permanência em programas de atividades físicas numa academia de ginástica

Garay¹,

Sperandei²,

Palma³

2014

Motricidade

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ARTIGO ORIGINAL | ORIGINAL ARTICLE RESUMOO estudo verificou o impacto das características individuais (sexo, faixa etária, índice de massa corporal, percentual de gordura corporal) e frequência mensal de prática sobre a regularidade numa academia de ginástica. Os 1573 indivíduos de ambos os sexos (masculinos: n= 840) com idade de 32.5±8.9 anos tiveram suas características definidas na avaliação funcional ao ingressar na academia. A frequên-cia média mensal (FMM) foi calculada com base no controle de acesso, sendo computado apenas um acesso/dia. Definiu-se "regularidade" como a permanência na academia por seis meses (ou mais) consecutivos. O impacto das características sobre a regularidade foi determinado por um modelo múltiplo de regressão logística. Faixa etária e FMM se mostraram associadas a uma maior probabilidade de regularidade. Tomando por referência os indivíduos com até 25 anos, os com idade entre 26 e 45 apresentaram maior chance de regularidade (OR: 1.67; IC95%: 1.19−2.34; p= 0.003), assim como aqueles acima de 45 anos (OR: 3.28; IC95%: 1.99−5.42; p< 0.001). FMM igual ou superior a oito dias apresentou probabilidade superior a 50% de se tornar regular, independente da faixa etária. Conclui-se que as características individuais podem ser utilizadas na deteção de indivíduos mais propensos a abandonar a prática, de modo a orientar intervenções para evitar esse abandono. Palavras-chave: aderência, exercício físico, frequência ABSTRACTThe study examined the impact of individual characteristics (gender, age, BMI, body fat percentage) and monthly frequency of practice on regular access to the gym. Anthropometric measures of 1573 subjects of both sexes (male: n = 840; age 32.5 ± 8.9 years) were assessed at the beginning of the exercises program. The Average Monthly Frequency (AMF) was calculated based on access control, being computed only one access/day. We defined "regular" the individual staying in the gym for six months (or more) consecutive. The impact of the characteristics on regularity was determined by a multiple logistic regression model. Age and AMF were associated with high probability of regularity. Taking as reference individuals up to 25 years, within age between 26 and 45 showed higher chances to be regular (OR: 1.67, 95% CI 1.19 to 2.34, p= 0.003), as well as those above 45 years (OR: 3.28, 95% CI 1.99 to 5.42, p<0.001). AMF equal to or higher than eight days showed 50% of probability to be regular, regardless of age. It is concluded that individual characteristics can be selected for the detection of individuals that are more likely to abandon exercises programs and to prevent dropout.

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“…Beyond the creation of socioeconomic benefits, several public health studies have reported that neighborhood walkability offers various public health benefits, especially the prevention or control of many chronic diseases as well as the reduction of healthcare costs. These health benefits are attributed to the fact that walking is usually the most easily undertaken form of physical activity [7,8]. Most of all, there is consensus among researchers that walkable neighborhoods are particularly significant for disadvantaged populations because minorities and low-income groups tend to be vulnerable to inactivity-related diseases [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

What’s the Score? Walkable Environments and Subsidized Households

Kim

Woo

2016

Sustainability

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Neighborhood walkability can influence individual health, social interactions, and environmental quality, but the relationships between subsidized households and their walkable environment have not been sufficiently examined in previous empirical studies. Focusing on two types of subsidized housing developments (Low-Income Housing Tax Credit (LIHTC) and Public Housing (PH)) in Austin, Texas, this study evaluates the neighborhood walkability of place-based subsidized households, utilizing objectively measured Walk Score and walking-related built environment data. We also used U.S. Census block group data to account for the socio-demographic covariates. Based on various data, we employed bivariate and multivariate analyses to specify the relationships between subsidized households and their neighborhood walkable environment. The results of our bivariate analyses show that LIHTC households tend to be located in car-dependent neighborhoods and have more undesirable walking-related built environment conditions compared with non-LIHTC neighborhoods. Our regression results also represent that LIHTC households are more likely to be exposed to neighborhoods with low Walk Score, less sidewalk coverage, and more highways and major roads, while there are no significant associations for PH households. These findings imply that more attention and effort toward reducing the inequitable distributions of walkable neighborhood features supporting rather than hindering healthy lifestyles must be provided to subsidized households.

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Neighborhood Walking Among Overweight and Obese Adults: Age Variations in Barriers and Motivators

Cited by 64 publications

References 32 publications

Social and environmental predictors of walking among older adults

Social and environmental predictors of walking among older adults

O impacto das características individuais na permanência em programas de atividades físicas numa academia de ginástica

What’s the Score? Walkable Environments and Subsidized Households

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