Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “SEDENTARY BEHAVIOR”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 19 recordsLinked to original sources

Effects of reinforcing increases in active behavior versus decreases in sedentary behavior for obese children.

This experiment tested the effects of reinforcing obese children lo be more active or less sedentary in their choice of active versus sedentary behaviors. On days I and 5, there were no contingencies for sedentary or active behaviors. During days 2 through 4, children in the Activity group were reinforced for being more active, and they significantly increased their activity and decreased time spent on preferred sedentary activities. Children in the Sedentary group were reinforced for not engaging in preferred sedentary behaviors, and they significantly decreased time spent on these sedentary behaviors, with lime reallocated both to being more active and to substitution of lower preference sedentary behaviors. Children randomized to the Control group were reinforced for attendance and made choices among the alternatives as usual, allocating most or their time during all 5 days for their preferred sedentary behaviors. These laboratory results support the idea that activity can be increased by either reinforcing children for being more active or for reducing lime spent in sedentary activities.

Journal Article↗

Psychosocial and environmental correlates of adolescent sedentary behaviors.

OBJECTIVE: To determine correlates of sedentary behaviors in adolescents through the examination of psychosocial and environmental variables. METHOD: The study used a cross-sectional design to evaluate an ethnically diverse clinic-based sample of 878 adolescents who were 11 to 15 years old. Bivariate and multivariate analyses were stratified by gender to assess correlates of sedentary behaviors occurring on the most recent nonschool day (television viewing, computer video games, sitting listening to music, and talking on the phone). RESULTS: For girls, age, family support, television/video rules, and hills in the neighborhood were associated with sedentary behaviors. Furthermore, psychological constructs such as self-efficacy, enjoyment, change strategies, and pros and cons of change emerged as correlates of sedentary behaviors. A moderator effect revealed that the proportion of girls in the low-BMI group decreased with increased self-efficacy, whereas the proportion of girls in the high-BMI group did not vary significantly by self-efficacy. For boys, age, ethnicity, BMI, cons of change, and self-efficacy were associated with sedentary behaviors. CONCLUSIONS: This study provides evidence of factors associated and not associated with adolescent sedentary behaviors. Similar to physical activity, measures of specific psychosocial constructs of sedentary behavior demonstrated important associations. The results highlight the need for additional examination of the correlates of sedentary behavior to determine which correlates are mechanisms of behavior change.

Adolescent↗

Effects of manipulating sedentary behavior on physical activity and food intake.

OBJECTIVES: Sedentary behaviors have been correlated with obesity. We investigated whether changes in sedentary behaviors relate to changes in energy intake and/or physical activity. STUDY DESIGN: Experimental within-subject crossover design in which children participated in three 3-week phases: baseline and increased and decreased targeted sedentary behaviors. PARTICIPANTS: Thirteen 8- to 12-year-old, nonobese children. MEASUREMENTS: Sedentary behaviors were measured through the use of daily activity logs, physical activity measured with accelerometers, and energy intake measured by means of repeated 24-hour recalls collected during each phase. Energy intake, energy expenditure, and energy balance per day were calculated. RESULTS: Children showed significant (P <.001) increases of 50% and decreases of 53% in targeted sedentary behaviors from baseline during the increase and decrease phases, respectively. There was a significant (P =.05) increase in energy balance per day (+350.7 kcal) when sedentary behaviors were increased, as the result of an increase in energy intake per day (+250.9 kcal) and a decrease in energy expenditure (-99.8 kcal). No significant changes in energy balance were observed when sedentary behaviors were decreased. CONCLUSIONS: Increasing sedentary behaviors had a greater influence on physical activity and energy intake than reducing sedentary behavior in nonobese youth. In some children, changes in sedentary behaviors may be important to modify energy balance and prevent obesity.

Child↗

Patterns of sedentary behavior among adolescents.

OBJECTIVE: Reducing certain sedentary behaviors (e.g., watching television, using a computer) can be an effective weight loss strategy for youth. Knowledge about whether behaviors cluster together could inform interventions. STUDY DESIGN: Estimates of time spent in 6 sedentary behaviors (watching television, talking on the telephone, using a computer, listening to music, doing homework, reading) were cluster analyzed for a sample of 878 adolescents (52% girls, mean age = 12.7 years, 58% Caucasian). MAIN OUTCOME MEASURES: The clusters were based on the sedentary behaviors listed above and compared on environmental variables (e.g., household rules), psychosocial variables (e.g., self-efficacy, enjoyment), and health behaviors (e.g., physical activity, diet). RESULTS: Four clusters emerged: low sedentary, medium sedentary, selective high sedentary, and high sedentary. Analyses revealed significant cluster differences for gender (p < .002), age (p < .002), body mass index (p < .001), physical activity (p < .01), and fiber intake (p < .01). CONCLUSIONS: Results suggest a limited number of distinct sedentary behavior patterns. Further study is needed to determine how interventions may use cluster membership to target segments of the adolescent population.

Adolescent↗

Influence of changes in sedentary behavior on energy and macronutrient intake in youth.

BACKGROUND: Changes in sedentary behavior may be related to changes in energy intake. OBJECTIVE: The purpose of this study was to investigate how experimental changes in the amount of sedentary behaviors influence energy intake. DESIGN: Sixteen nonoverweight 12-16-y-old youth were studied in a within-subject crossover design with three 3-wk phases: baseline, increasing targeted sedentary behaviors by 25-50% (increase phase), and decreasing targeted sedentary behaviors by 25-50% (decrease phase). Repeated 24-h recalls were used to assess energy and macronutrient intakes during targeted sedentary behaviors. Accelerometers were used to assess activity levels. RESULTS: Targeted sedentary behaviors increased by 81.5 min/d (45.8%) and decreased by 109.8 min/d (-61.2%) from baseline (both: P<0.01). Girls increased sedentary behaviors significantly more than did boys (107.3 and 55.8 min/d, respectively; P<0.01) in the increase phase. Energy intake decreased (-463.0 kcal/d; P<0.01) when sedentary behaviors decreased: the decrease in fat intake was -295.2 kcal/d (P<0.01). No significant changes in energy intake were observed when sedentary behaviors were increased. Youth also increased their activity by 102.4 activity counts min-1d-1 (estimated at 113.1 kcal) when sedentary behaviors were decreased (P<0.05). CONCLUSIONS: Decreasing sedentary behaviors can decrease energy intake in nonoverweight adolescent youth and should be considered an important component of interventions to prevent obesity and to regulate body weight.

Adolescent↗

The effect of reinforcement or stimulus control to reduce sedentary behavior in the treatment of pediatric obesity.

Obese children were randomly assigned to a family-based behavioral treatment that included either stimulus control or reinforcement to reduce sedentary behaviors. Significant and equivalent decreases in sedentary behavior and high energy density foods, increases in physical activity and fruits and vegetables, and decreases in standardized body mass index (z-BMI) were observed. Children who substituted active for sedentary behaviors had significantly greater z-BMI changes at 6 (-1.21 vs. -0.76) and 12 (-1.05 vs. -0.51) months, respectively. Substitution of physically active for sedentary behaviors and changes in activity level predicted 6- and 12-month z-BMI changes. Results suggest stimulus control and reinforcing reduced sedentary behaviors are equivalent ways to decrease sedentary behaviors, and behavioral economic relationships in eating and activity may mediate the effects of treatment.

Behavior Therapy↗

Sociodemographic, developmental, environmental, and psychological correlates of physical activity and sedentary behavior at age 11 to 12.

BACKGROUND: Low levels of physical activity and high levels of sedentary behavior during adolescence are a cause for concern. Sociodemographic, developmental, environmental, and psychological factors may be relevant, but the correlates of these behaviors may differ. PURPOSE: To investigate the multidimensional correlates of physical activity and sedentary behavior in a large sample of 11- to 12-year-old boys and girls. METHODS: Cross-sectional survey of 2,578 boys and 1,742 girls from 36 schools stratified by socioeconomic background and gender mix of students (84% response rate). Questionnaire assessments and objective measurements of height and weight were obtained. RESULTS: Days of vigorous physical activity and hours of sedentary behaviors over the past week were uncorrelated. Ethnicity, socioeconomic factors, developmental stage, environmental factors, and psychological variables were associated with physical activity and sedentary behavior in univariate analyses. In multiple regression, sedentary behavior was greater in ethnic minority groups, in students from more deprived backgrounds, and in those with conduct problems. Girls who were more advanced developmentally and who reported emotional symptoms also engaged in more sedentary behaviors. Vigorous physical activity was associated with good self-rated health, prosocial psychological characteristics, and (in boys) with low emotional symptoms. CONCLUSIONS: A multidimensional approach to understanding the context of physical activity in early adolescence is needed because factors in several domains are relevant. The correlates of physical activity and sedentary behaviors are distinct in this age group, and there are also important gender differences.

Child↗

Association of depression with Body Mass Index, sedentary behavior, and maladaptive eating attitudes and behaviors in 11 to 13-year old children.

We examined the relation of different behavioral dimensions of depression with weight-related variables (BMI percentile, sedentary behavior, eating attitudes, and weight control behaviors) in children aged 11 to 13 years. Depression was assessed using the Children's Depression Inventory (CDI). Sedentary behavior was measured in 45 sixth grade students (23 boys and 22 girls) using a validated 24-hour recall instrument, the Self-Administered Physical Activity Checklist. BMI was calculated directly from measured height and weight (kg/m2). The Children's Eating Attitudes Test (ChEAT) was used to measure eating attitudes and weight control behaviors. There were not significant gender differences in reported minutes (142 vs. 91 minutes for boys vs. girls; p=0.25) of sedentary behavior (i.e., television watching and video game playing). The major finding of this study was that certain aspects of depression (i.e., interpersonal problems and feelings of ineffectiveness) were correlated with higher levels of sedentary behavior in children aged 11 to 13. A factor analysis of the study variables indicated that most dimensions of depression, sedentary behavior, and body size represent distinct but correlated behavioral dimensions. This study provides support for a link between specific aspects of depression (i.e., interpersonal problems and feelings of ineffectiveness) and sedentary behavior in children.

Adolescent↗

Reducing sedentary behavior: the relationship between park area and the physical activity of youth.

This study was designed to determine whether the characteristics of the neighborhood environment are related to the substitution of physical activity for sedentary behavior among youth. Fifty-eight 8- to 15-year-old youth were studied in a within-subjects crossover design with three phases: baseline, increased sedentary behavior, and decreased sedentary behavior. The relations between changes in physical activity and design, diversity, and density attributes of the neighborhood environment were determined using random coefficient models. Compared with girls, boys showed greater increases in physical activity when sedentary behaviors were reduced and greater decreases in physical activity when sedentary behaviors were increased. Greater access to parks was associated with greater physical activity when sedentary behaviors were reduced.

Adolescent↗

Investigating the causal effects of physical activity and sedentary behavior on hernia risk: A two-sample Mendelian randomization approach.

The global prevalence of hernia is increasing, particularly due to the aging population. Although physical activity and sedentary behavior are known to influence various health outcomes, their specific roles in hernia development remain inadequately investigated. This study aimed to systematically assess the causal relationships between physical activity, sedentary behavior, and the risk of hernia development using Mendelian randomization (MR) analysis. We used genome-wide association study data from the UK Biobank and FinnGen Biobank to explore the causal effects of sedentary behavior on hernia risk via 5 distinct MR approaches. To ensure the reliability of our risk models, we performed sensitivity analyses, including Cochran's Q test, MR-Egger intercept analysis, leave-one-out analysis, and funnel plots. Furthermore, we employed multivariable MR analysis to determine the independent causal effects of both physical activity and sedentary behavior. Our findings indicate that moderate-to-vigorous physical activity (MVPA) was significantly associated with an increased risk of inguinal hernia, with an odds ratio of 1.844 (95% confidence interval, 1.181-2.879; P&#x2005;=&#x2005;.007). Associations between sedentary behavior and diaphragmatic or umbilical hernia were inconsistent across methods and were sensitive to pleiotropy; thus, no robust causal relationship was established. Multivariable MR analysis further confirmed the independent and significant causal relationship between MVPA and inguinal hernia, with an odds ratio of 1.901 (95% confidence interval, 1.098-3.291; P&#x2005;=&#x2005;.022). Our study highlights a significant association between MVPA and an increased risk of inguinal hernia, suggesting that physical activity should be carefully considered in preventive strategies for hernias. However, the relationship between sedentary behavior and hernia development warrants further investigation.

Mendelian Randomization Analysis↗

Physical activity and sedentary behavior patterns are associated with selected adolescent health risk behaviors.

OBJECTIVE: Little is known about how physical activity (PA), sedentary behavior, and various adolescent health risk behaviors are associated. The objective of this study was to examine relationships between PA and sedentary behavior patterns and an array of risk behaviors, including leading causes of adolescent morbidity/mortality. METHODS: Nationally representative self-reported data were collected (National Longitudinal Study of Adolescent Health; wave I: 1994-1995; II: 1996; N = 11957). Previously developed and validated cluster analyses identified 7 homogeneous groups of adolescents sharing PA and sedentary behaviors. Poisson regression predicted the relative risk of health risk behaviors, other weekly activities, and self-esteem across the 7 PA/sedentary behavior clusters controlling for demographics and socioeconomic status. Main outcome measures were adolescent risk behaviors (eg, truancy, cigarette smoking, sexual intercourse, delinquency), other weekly activities (eg, work, academic performance, sleep), self-esteem. RESULTS: Relative to high television (TV) and video viewers, adolescents in clusters characterized by skating and video gaming, high overall sports and sports participation with parents, using neighborhood recreation center, strict parental control of TV, reporting few activities overall, and being active in school were less likely to participate in a range of risky behaviors, ranging from an adjusted risk ratio (ARR) of 0.42 (outcome: illegal drug use, cluster: strict parental control of TV) to 0.88 (outcome: violence, cluster: sports with parents). Active teens were less likely to have low self-esteem (eg, adolescents engaging in sports with parents, ARR: 0.73) and more likely to have higher grades (eg, active in school, ARR: 1.20). CONCLUSIONS: Participation in a range of PA-related behaviors, particularly those characterized by high parental sports/exercise involvement, was associated with favorable adolescent risk profiles. Adolescents with high TV/video viewership were less likely to have positive risk behavior outcomes. Enhancing opportunities for PA and sport may have a beneficial effect on leading adolescent risk behaviors.

Absenteeism↗

Decreasing sedentary behaviors in treating pediatric obesity.

BACKGROUND: Epidemiological studies have shown television watching to be a risk factor for the development of obesity in children. The effect of reducing television watching and other sedentary behaviors as a component of a comprehensive obesity treatment program has not been thoroughly tested. OBJECTIVE: To compare the influence of targeting decreases in sedentary behavior vs. increases in physical activity in the comprehensive treatment of obesity in 8- to 12-year-old children. DESIGN: Randomized, controlled outcome study. SETTING: Childhood obesity research clinic. DESIGN: Ninety families with obese 8- to 12-year-old children were randomly assigned to groups that were provided a comprehensive family-based behavioral weight control program that included dietary, and behavior change information but differed in whether sedentary or physically active behaviors were targeted and the degree of behavior change required. RESULTS: Results during 2 years showed that targeting either decreased sedentary behaviors or increased physical activity was associated with significant decreases in percent overweight and body fat and improved aerobic fitness. Self-reported activity minutes increased and targeted sedentary time decreased during treatment. Children substituted nontargeted sedentary behaviors for some of their targeted sedentary behaviors. CONCLUSION: These results support reducing sedentary behaviors as an adjunct in the treatment of pediatric obesity.

Behavior Therapy↗

An objective method for measurement of sedentary behavior in 3- to 4-year olds.

OBJECTIVE: To test the ability of accelerometry to quantify sedentary behavior in 3- to 4-year-old children. RESEARCH METHODS AND PROCEDURES: We developed a cut-off for accelerometry output (validation study) in 30 healthy 3 to 4 year olds, which provided highest sensitivity and specificity for the detection of sedentary behavior relative to a criterion method of measurement, direct observation using the children's physical activity form. We then cross-validated the cut-off in an independent sample of healthy 3 to 4 year olds (n = 52). RESULTS: In the validation study, optimal sensitivity and specificity for the detection of sedentary behavior were obtained at an accelerometry output cut-off of <1100 counts/min. In the cross-validation, sensitivity was 83%: 438/528 inactive minutes were correctly classified. Specificity was 82%: 1251/1526 noninactive minutes were correctly classified using this cut-off. DISCUSSION: Sedentary behavior can be quantified objectively in young children using accelerometry. This new technique could be considered for a wide variety of applications in the etiology, prevention, and treatment of childhood obesity.

Child Behavior↗

Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women.

CONTEXT: Current public health campaigns to reduce obesity and type 2 diabetes have largely focused on increasing exercise, but have paid little attention to the reduction of sedentary behaviors. OBJECTIVE: To examine the relationship between various sedentary behaviors, especially prolonged television (TV) watching, and risk of obesity and type 2 diabetes in women. DESIGN, SETTING, AND PARTICIPANTS: Prospective cohort study conducted from 1992 to 1998 among women from 11 states in the Nurses' Health Study. The obesity analysis included 50 277 women who had a body mass index (BMI) of less than 30 and were free from diagnosed cardiovascular disease, diabetes, or cancer and completed questions on physical activity and sedentary behaviors at baseline. The diabetes analysis included 68 497 women who at baseline were free from diagnosed diabetes mellitus, cardiovascular disease, or cancer. MAIN OUTCOME MEASURES: Onset of obesity and type 2 diabetes mellitus. RESULTS: During 6 years of follow-up, 3757 (7.5%) of 50 277 women who had a BMI of less than 30 in 1992 became obese (BMI > or =30). Overall, we documented 1515 new cases of type 2 diabetes. Time spent watching TV was positively associated with risk of obesity and type 2 diabetes. In the multivariate analyses adjusting for age, smoking, exercise levels, dietary factors, and other covariates, each 2-h/d increment in TV watching was associated with a 23% (95% confidence interval [CI], 17%-30%) increase in obesity and a 14% (95% CI, 5%-23%) increase in risk of diabetes; each 2-h/d increment in sitting at work was associated with a 5% (95% CI, 0%-10%) increase in obesity and a 7% (95% CI, 0%-16%) increase in diabetes. In contrast, standing or walking around at home (2 h/d) was associated with a 9% (95% CI, 6%-12%) reduction in obesity and a 12% (95% CI, 7%-16%) reduction in diabetes. Each 1 hour per day of brisk walking was associated with a 24% (95% CI, 19%-29%) reduction in obesity and a 34% (95% CI, 27%-41%) reduction in diabetes. We estimated that in our cohort, 30% (95% CI, 24%-36%) of new cases of obesity and 43% (95% CI, 32%-52%) of new cases of diabetes could be prevented by adopting a relatively active lifestyle (<10 h/wk of TV watching and > or =30 min/d of brisk walking). CONCLUSIONS: Independent of exercise levels, sedentary behaviors, especially TV watching, were associated with significantly elevated risk of obesity and type 2 diabetes, whereas even light to moderate activity was associated with substantially lower risk. This study emphasizes the importance of reducing prolonged TV watching and other sedentary behaviors for preventing obesity and diabetes.

Adult↗

Physical activity and sedentary behavior: a population-based study of barriers, enjoyment, and preference.

The associations of physical activity and sedentary behavior with barriers, enjoyment, and preferences were examined in a population-based mail survey of 1,332 adults. Respondents reporting high enjoyment and preference for physical activity were more likely to report high levels of activity. Those reporting cost, the weather, and personal barriers to physical activity were less likely to be physically active. Preference for sedentary behavior was associated with the decreased likelihood of being physically active, and the weather a barrier to physical activity was associated with the increased likelihood of sedentary behavior. These constructs can be used to examine individual and environmental influences on physical activity and sedentary behavior in specific populations and could inform the development of targeted interventions.

Adolescent↗

Effect of smoking and sedentary behavior on the association between depressive symptoms and mortality from coronary heart disease.

It has been suggested that one of the mechanisms linking depression with elevated mortality risk is the association between depressive symptoms and other established coronary artery disease (CAD) risk factors, such as smoking and failure to exercise. The present study examined this hypothesis using repeated assessments of smoking and exercise from patients with CAD in whom depressive symptoms had been shown to predict decreased survival. Initially, associations between depressive symptoms and the risk factors of smoking and sedentary behavior were assessed. Next, patterns of smoking and sedentary behavior were examined as mediators and/or moderators of the association between depressive symptoms and mortality. Depressive symptoms were positively related to smoking (p <0.01) and sedentary behavior (p <0.01). Depressive symptoms, smoking, and sedentary behavior were independent predictors of mortality. Results indicated that smoking and/or sedentary behavior may partially mediate the relation between depressive symptoms and mortality. No evidence for moderation was found.

Age Distribution↗

Physical activity as a substitute for sedentary behavior in youth.

BACKGROUND: Youth may choose to be sedentary rather than physically active. PURPOSE: The purpose of this study was to use behavioral economics methods to investigate how experimental changes in the amount of sedentary behaviors influenced physical activity. METHODS: Fifty-eight 8- to 16-year-old youth were studied in a within-subject crossover design with three 3-week phases: baseline, increasing, and decreasing targeted sedentary behaviors by 25% to 50%. RESULTS: At baseline, boys were more active than girls (518.9 vs. 401.2 accelerometer counts/min, p = .02), and obese youth more sedentary than nonobese youth (240.5 vs. 174.4 min/day, p = .003). During the increase sedentary behavior phase, targeted sedentary behaviors increased by 52.1%, with girls increasing sedentary behaviors more than boys (114.7 vs. 79.8 min/day, p = .04). Physical activity decreased (-48.3 counts/min, p < .01) when sedentary behaviors increased, with obese youth decreasing total and moderate to vigorous physical activity (MVPA) more than nonobese youth (-110.4 vs. 8.9 counts/min, p < .001; -3.3 vs. -.03 % MVPA, p = .013). During the decrease sedentary behavior phase, targeted sedentary behaviors decreased by 55.6% from baseline as nonobese youth increased physical activity, whereas obese youth decreased physical activity (55.8 vs. -48.0 counts/min, p = .042; 1.1 vs. -2.1% MVPA, p = .021). Youth who substituted physical activity when sedentary behaviors were increased had greater standardized body mass index (z-body mass index = 1.4 vs. 0.4, p = .018), whereas youth who substituted physical activity when sedentary behaviors were decreased were less active at baseline (396.1 vs. 513.7 counts/min, p = .035). CONCLUSIONS: Behavioral economics provides a methodology to understand changes in physical activity when sedentary behaviors are modified and to identify factors associated with substitution of physically active for sedentary behaviors.

Activities of Daily Living↗

Psychosocial factors at work, smoking, sedentary behavior, and body mass index: a prevalence study among 6995 white collar workers.

This cross-sectional study examined whether psychosocial factors at work were associated with smoking, sedentary behavior, and body mass index. The study population was composed of 3531 men and 3464 women employed as white collar workers in 21 organizations. Data were collected at worksites. Psychological demands and decision latitude at work were measured with the Karasek 18-item questionnaire. Smoking, sedentary behavior, and mean body mass index were compared by quartiles of decision latitude and psychological demands and by job strain categories. Prevalence of smoking, mean number of cigarettes smoked per day, prevalence of sedentary behavior, and mean body mass index were not consistently associated with decision latitude, psychological demands, or high job strain. However, prevalence of smoking was elevated in women belonging to the highest quartile of psychological demands (odds ratio [OR], 1.2; 95% confidence interval [CI], 1.0 to 1.6) and in the active job strain groups in both men (OR, 1.6; 95% CI, 1.2 to 2.1) and women (OR, 1.4; 95% CI, 1.0 to 2.0). Prevalence of sedentary behavior was elevated in men in the lowest quartile of decision latitude (OR, 1.3; 95% CI, 1.0 to 1.7), in the passive group (OR, 1.3; 95% CI, 1.0 to 1.5), and in the high strain group (OR, 1.2; 95% CI, 1.0 to 1.6). In women, this prevalence was elevated in the third quartile of psychological demand (OR, 1.3; 95% CI, 1.1 to 1.6). These results provide only partial support for an association between some psychosocial factors at work and the prevalence of smoking and sedentary behavior.

Adolescent↗