Perceived Barriers to Physical Activity According to Stage of Change and Body Mass Index in the West Virginia Wisewoman Population

Rye, James; Rye, Sheila; Tessaro, Irene; Coffindaffer, Jay

doi:10.1016/j.whi.2009.01.003

Cited by 29 publications

(42 citation statements)

References 24 publications

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“…Muitos estudos mostraram que utilizar os EDM para classificar os participantes pode aprimorar as intervenções [28][29][30] . Os achados deste estudo apoia a aplicação de EDM nesta população, visto que a maioria dos componentes do MPS para AF diferenciam-se entre os estágios antes e depois da intervenção, e as mudanças foram na direção prevista pela teoria.…”

Section: Tabela 4 -unclassified

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A model-based educational intervention to increase physical activity among Iranian adolescents

Sanaeinasab¹,

Saffari²,

Pakpour³

et al. 2012

J Pediatr (Rio J)

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Objective: To conduct an evaluation of an educational program based on the health promotion model (HPM) and stages of change to improve physical activity (PA) behavior among Iranian adolescents. Methods:This was a group randomized controlled trial with 165 participants in two groups (intervention/control). Data were collected using self-reported questionnaires based upon HPM constructs (benefits and barriers of action, self-efficacy, activity-related affect, interpersonal influences, and situational influences). The stages of change scale was used to select eligible participants (were placed on precontemplation, contemplation, or preparation stages) and to assess the trend. After collecting baseline data, the intervention was administered to the participants and follow-up data was collected 3 months after intervention. Results:In all, 88 males and 77 females with a mean age of 13.99±0.4 participated in the study. The differences in all HPM constructs, except activity-related affect and social influences, were significant (p < 0.01) between baseline and follow-up measurements. Adolescents in the intervention as compared to the control group were placed in action (70%) or preparation (30%) stages at follow-up. Multiple regression analysis revealed that competing preferences, social norms, role models, (p < 0.001), and commitment to action plan can significantly predict PA behavior. The model accounted for 22.5% of the variance in PA. Conclusions:The results suggest that educational interventions based on stages of change can have important implications for improving PA among adolescents in more constructs of HPM. J Pediatr (Rio J). 2012;88(5):430-8:Health behavior, physical activity, health education, adolescent. ResumoObjetivo: Avaliar um programa educacional com base no modelo de promoção da saúde (MPS) e nos estágios de mudança para melhorar a atividade física (AF) entre adolescentes iranianos.Métodos: Este foi um ensaio randomizado controlado com 165 participantes divididos em dois grupos (intervenção/controle). Os dados foram coletados através de questionários de autopreenchimento com base em componentes do MPS (benefícios e barreiras para a ação, autoeficácia, sentimentos em relação ao comportamento, influências interpessoais e situacionais). A escala de estágios de mudança foi utilizada para selecionar participantes aptos (classificados nos estágios de pré-contemplação, contemplação ou preparação) e para avaliar a tendência. Após a coleta dos dados de base, a intervenção foi realizada nos participantes e os dados de acompanhamento foram coletados 3 meses depois.Resultados: Ao todo, 88 meninos e 77 meninas com idade média de 13,99±0,4 participaram do estudo. As diferenças em todos os componentes do MPS, exceto os sentimentos em relação ao comportamento e as influências sociais, foram significantes (p < 0,01) entre os valores de base e de acompanhamento. Comparados aos do grupo de controle, os adolescentes do grupo de intervenção foram categorizados nos estágios de ação (70%) ou preparação (30%) no ac...

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“…No manual do MPS, Pender et al sugerem que ajudar a planejar atividades satisfatórias pode ser uma tarefa utilizada para intervenção como modo de melhorar os sentimentos em relação ao comportamento 29 . Seguindo essa recomendação, prestamos assistência na organização de duas competições esportivas selecionadas pela maioria dos participantes.…”

Section: Tabela 4 -unclassified

A model-based educational intervention to increase physical activity among Iranian adolescents

Sanaeinasab¹,

Saffari²,

Pakpour³

et al. 2012

J Pediatr (Rio J)

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“…1 In spite of public health efforts to promote physical activity, as many as one in four women do not engage in any physical activity. 2 Women's most commonly perceived barriers to physical activity are lack of time, [3][4][5][6] lack of support, 7 and lack of willpower. 7 One study suggested that mothers are at even higher risk for not getting enough activity than women without children because they have more barriers.…”

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confidence: 99%

“…2 Women's most commonly perceived barriers to physical activity are lack of time, [3][4][5][6] lack of support, 7 and lack of willpower. 7 One study suggested that mothers are at even higher risk for not getting enough activity than women without children because they have more barriers. 8 Because mothers' level of exercise was not related to child age, number of children, employment, or marital status, that study suggested that motherhood itself might be a barrier to engaging in physical activity.…”

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confidence: 99%

Perceived Intrinsic Barriers to Physical Activity Among Rural Mothers

Adachi-Mejia

Drake

MacKenzie

et al. 2010

Journal of Women's Health

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Background: The purpose of this study was to identify and determine the influence of perceived intrinsic barriers to physical activity among mothers living in rural areas. Methods: Mothers were identified through a study of child-parent dyads in the predominantly rural states of New Hampshire and Vermont. Using a telephone interview, we asked mothers (n ¼ 1691) about their level of physical activity and assessed eight potential barriers to physical activity. Data were analyzed using chi-square tests, t tests, and analysis of variance (ANOVA) comparisons for groups within each variable. We used multiple regression analysis to assess associations between perceived barriers to physical activity and self-reported levels of physical activity. Results: Each barrier was inversely associated with physical activity. Multivariate models that included terms for all potential barriers and covariates identified three barriers associated with lower levels of physical activity: lack of self-discipline, lack of time, and lack of interest. Conclusions: Rural mothers are less likely to be physically active if they identify lack of self-discipline, time, or interest as barriers, suggesting that they have difficulty prioritizing exercise for themselves. Interventions aimed at increasing physical activity for mothers should specifically consider these barriers. One possible solution may be to support infrastructure that facilitates active living as the default option, to remove the issue of having to purposefully engage in physical activity as a separate aspect of a mother's life.

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“…These findings support the result of the present study. Other studies (Fukuoka, Vittinghoff, Jong & Haskell, 2010;Rye, Rye, Tessaro & Coffindaffer, 2009;Vilhjalmsson & Kristjansdottir, 2003) have noted that girls are more likely to withdraw from exercise than boys. According to Stewart and Taylor (2000), negative experiences were the main reasons why females withdraw from or demonstrate low levels of participation in physical activities.…”

Section: Discussionmentioning

confidence: 95%

Constraints on leisure time physical activity at a public university

Öcal

2014

IJHS

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This study focuses on understanding constraints on leisure time physical activity (LTPA) on a university campus. The survey study was conducted with public university students (n=563) living in dormitories. The 38-item, 8-dimension Leisure Time Physical Activity Constraints (LTPA-C) Scale was used to investigate factors limiting LTPA. Age, gender, working status (i.e. part-time, non-working), program type (i.e. morning education, evening education), relationship status (i.e. in a relationship, not in a relationship), monthly expenses and body mass index (BMI) category (i.e. underweight, normal weight, overweight, obese) are key variables believed to affect LTPA-C. An initial confirmatory factor analysis was conducted to validate the structure of the scale, and frequency analysis, Pearson's Correlation and t-tests were conducted to analyze the survey responses. Results showed the hierarchy of constraints for males (from high to low) to be as follows: society, income, time, facility, willpower, skill perception, family, body perception. The hierarchy was nearly identical for females, except 'willpower' was found to be a greater constraint than 'facility'; moreover, the differences in the rates at which males and females perceived 'facility' and 'willpower' to be constraints were statistically significant. The study findings indicate that by taking steps to improve the infrastructure of university campus facilities and organize group activities, university management can provide motivation and social support that can help to increase university student participation in LTPA.

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Perceived Barriers to Physical Activity According to Stage of Change and Body Mass Index in the West Virginia Wisewoman Population

Cited by 29 publications

References 24 publications

A model-based educational intervention to increase physical activity among Iranian adolescents

A model-based educational intervention to increase physical activity among Iranian adolescents

Perceived Intrinsic Barriers to Physical Activity Among Rural Mothers

Constraints on leisure time physical activity at a public university

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