Associations of Cardiorespiratory Fitness and Fatness with Metabolic Syndrome in Rural Women with Prehypertension

This study investigated the associations of fitness and fatness with metabolic syndrome in rural women, part of a recognized US health disparities group. Methods. Fitness, percentage body fat, BMI, and metabolic syndrome criteria were assessed at baseline in 289 rural women with prehypertension, ages 40–69, enrolled in a healthy eating and activity communitybased clinical trial for reducing blood pressure. Results. Ninety (31%) women had metabolic syndrome, of which 70% were obese by BMI (≥30 kg/m2), 100% by percentage body fat (≥30%), and 100% by revised BMI standards (≥25 kg/m2) cited in current literature. Hierarchical logistic regression models, adjusted for age, income, and education, revealed that higher percentage body fat (P \u3c 0.001) was associated with greater prevalence of metabolic syndrome. Alone, higher fitness lowered the odds of metabolic syndrome by 7% (P \u3c 0.001), but it did not lower the odds significantly beyond the effects of body fat. When dichotomized into “fit” and “unfit” groups, women categorized as “fat” had lower odds of metabolic syndrome if they were “fit” by 75% and 59%, for percentage body fat and revised BMI, respectively. Conclusion. Among rural women with prehypertension, obesity and fitness were associated with metabolic syndrome. Obesity defined as ≥25 kg/m2 produced results more consistent with percentage body fat as compared to the ≥30 kg/m2 definition

Erratum to ‘‘Associations of Cardiorespiratory Fitness and Fatness with Metabolic Syndrome in Rural Women with Prehypertension’’

In the original paper, the authors discovered a computer coding error that resulted in 33 of the women’s ages being incorrectly recorded. All analyses were repeated for this paper using the corrected age dataset, as all our logistic regression analyses in the published paper were adjusted for age.The repeated analyses, using the corrected dataset, lead to minor changes that needed to be reported to the results in the published paper. These corrections did not change the conclusion of the published paper.The authors apologize for any inconvenience

Associations of Cardiorespiratory Fitness and Fatness with Metabolic Syndrome in RuralWomen with Prehypertension

This study investigated the associations of fitness and fatness with metabolic syndrome in rural women, part of a recognized US health disparities group. Methods. Fitness, percentage body fat, BMI, and metabolic syndrome criteria were assessed at baseline in 289 rural women with prehypertension, ages 40–69, enrolled in a healthy eating and activity communitybased clinical trial for reducing blood pressure. Results. Ninety (31%) women had metabolic syndrome, of which 70% were obese by BMI (≥30 kg/m2), 100% by percentage body fat (≥30%), and 100% by revised BMI standards (≥25 kg/m2) cited in current literature. Hierarchical logistic regression models, adjusted for age, income, and education, revealed that higher percentage body fat (P \u3c 0.001) was associated with greater prevalence of metabolic syndrome. Alone, higher fitness lowered the odds of metabolic syndrome by 7% (P \u3c 0.001), but it did not lower the odds significantly beyond the effects of body fat. When dichotomized into “fit” and “unfit” groups, women categorized as “fat” had lower odds of metabolic syndrome if they were “fit” by 75% and 59%, for percentage body fat and revised BMI, respectively. Conclusion. Among rural women with prehypertension, obesity and fitness were associated with metabolic syndrome. Obesity defined as ≥25 kg/m2 produced results more consistent with percentage body fat as compared to the ≥30 kg/m2 definition

Associations of cardiorespiratory fitness and fatness with metabolic syndrome in rural women with prehypertension.

BACKGROUND: This study investigated the associations of fitness and fatness with metabolic syndrome in rural women, part of a recognized US health disparities group. METHODS: Fitness, percentage body fat, BMI, and metabolic syndrome criteria were assessed at baseline in 289 rural women with prehypertension, ages 40-69, enrolled in a healthy eating and activity community-based clinical trial for reducing blood pressure. RESULTS: Ninety (31%) women had metabolic syndrome, of which 70% were obese by BMI (≥30 kg/m²), 100% by percentage body fat (≥30%), and 100% by revised BMI standards (≥25 kg/m²) cited in current literature. Hierarchical logistic regression models, adjusted for age, income, and education, revealed that higher percentage body fat (P \u3c 0.001) was associated with greater prevalence of metabolic syndrome. Alone, higher fitness lowered the odds of metabolic syndrome by 7% (P \u3c 0.001), but it did not lower the odds significantly beyond the effects of body fat. When dichotomized into fit and unfit groups, women categorized as fat had lower odds of metabolic syndrome if they were fit by 75% and 59%, for percentage body fat and revised BMI, respectively. CONCLUSION: Among rural women with prehypertension, obesity and fitness were associated with metabolic syndrome. Obesity defined as ≥25 kg/m² produced results more consistent with percentage body fat as compared to the ≥30 kg/m² definition

Clinical trial of tailored activity and eating newsletters with older rural women.

BACKGROUND: Unhealthy diet and lack of physical activity increase rural midlife and older women\u27s risk of chronic diseases and premature death, and they are behind urban residents in meeting Healthy People 2010 objectives. OBJECTIVES: The objective of this study was to compare a tailored intervention based on the Health Promotion Model with a generic intervention to increase physical activity and healthy eating among rural women. METHODS: In a randomized-by-site, community-based, controlled, clinical trial, Wellness for Women, 225 women aged 50 to 69 years were recruited in two similar rural areas. Over 12 months, women received by mail either 18 generic newsletters or 18 newsletters computer tailored on Health Promotion Model behavior-specific cognitions (benefits, barriers, self-efficacy, and interpersonal support), activity, and eating. Outcomes at 6 and 12 months included behavioral markers and biomarkers of physical activity and eating. Data were analyzed by repeated-measures analysis of variance and chi-square tests (alpha \u3c .05). RESULTS: Both groups significantly increased stretching and strengthening exercise and fruit and vegetable servings and decreased percentage of calories from fat, whereas only the tailored group increased moderate or greater intensity activity and decreased percentage of calories from saturated fat from baseline to 6 months. Both groups increased stretching and strengthening exercise, whereas only the tailored group increased moderate or greater intensity activity and fruit and vegetable servings and decreased percentage of calories from fat from baseline to 12 months. Both groups had several changes in biomarkers over the study. A higher proportion of women receiving tailored newsletters met Healthy People 2010 criteria for moderate or greater intensity activity, fruit and vegetable servings, and percentage of calories from fat at 12 months. DISCUSSION: Mailed computer-tailored and generic print newsletters facilitated the adoption of change in both activity and eating over 6 months. Tailored newsletters were more efficacious in facilitating change over 12 months

The influence of cognitive-perceptual variables on patterns of change over time in rural midlife and older women’s healthy eating

Although studies demonstrate that dietary interventions for healthy adults can result in beneficial dietary changes, few studies examine when and how people change in response to these interventions, particularly in rural populations. The purpose of this study was to examine patterns of change over time in healthy eating behaviors in midlife and older women in response to a one-year health-promoting intervention, and to examine what predictors (perceived benefits, barriers, self-efficacy, and family support for healthy eating) influence the changes during the intervention and follow-up. Data for this secondary analysis were from the Wellness for Women community-based trial. Women (N = 225) between the ages of 50–69 in rural Nebraska, U.S.A., were recruited. A repeated-measures experimental design was used with randomization of two rural counties to intervention (tailored newsletter) or comparison (standard newsletter) groups. Eating behavior was measured by the Healthy Eating Index. The predictor variables were assessed using standard measures. Data analysis was done using latent growth curve modeling. The tailored newsletter group was successful in improving their healthy eating behavior compared to the standard newsletter group during the one-year intervention, at the end of the intervention, and during the follow-up phase. Family support at the end of the intervention was positively associated with healthy eating at the end of the intervention. Perceived barriers had the strongest impact on healthy eating behavior at all time points. Compared to participants in the standard newsletter group, those in the tailored newsletter group perceived more family support and fewer barriers for healthy eating at the end of the intervention (mediation effects). Based on these findings, both family support and perceived barriers should be central components of interventions focused on healthy eating behavior in rural midlife and older women. Highlights ► Reducing barriers to healthy eating via the tailored newsletters was the primary factor that improved eating behavior. ► The tailored newsletters also helped women in this group garner more family support which was related to healthier eating. ► Key components of healthy eating interventions in rural older women should focus on family support and perceived barriers. ► Findings support the cultural belief that rural women rely on their families to assist with health-promoting behaviors

The influence of cognitive-perceptual variables on patterns of change over time in rural midlife and older women\u27s healthy eating.

Although studies demonstrate that dietary interventions for healthy adults can result in beneficial dietary changes, few studies examine when and how people change in response to these interventions, particularly in rural populations. The purpose of this study was to examine patterns of change over time in healthy eating behaviors in midlife and older women in response to a one-year health-promoting intervention, and to examine what predictors (perceived benefits, barriers, self-efficacy, and family support for healthy eating) influence the changes during the intervention and follow-up. Data for this secondary analysis were from the Wellness for Women community-based trial. Women (N = 225) between the ages of 50-69 in rural Nebraska, U.S.A., were recruited. A repeated-measures experimental design was used with randomization of two rural counties to intervention (tailored newsletter) or comparison (standard newsletter) groups. Eating behavior was measured by the Healthy Eating Index. The predictor variables were assessed using standard measures. Data analysis was done using latent growth curve modeling. The tailored newsletter group was successful in improving their healthy eating behavior compared to the standard newsletter group during the one-year intervention, at the end of the intervention, and during the follow-up phase. Family support at the end of the intervention was positively associated with healthy eating at the end of the intervention. Perceived barriers had the strongest impact on healthy eating behavior at all time points. Compared to participants in the standard newsletter group, those in the tailored newsletter group perceived more family support and fewer barriers for healthy eating at the end of the intervention (mediation effects). Based on these findings, both family support and perceived barriers should be central components of interventions focused on healthy eating behavior in rural midlife and older women

The influence of cognitive-perceptual variables on patterns of change over time in rural midlife and older women\u27s healthy eating

Although studies demonstrate that dietary interventions for healthy adults can result in beneficial dietary changes, few studies examine when and how people change in response to these interventions, particularly in rural populations. The purpose of this study was to examine patterns of change over time in healthy eating behaviors in midlife and older women in response to a one-year health-promoting intervention, and to examine what predictors (perceived benefits, barriers, self-efficacy, and family support for healthy eating) influence the changes during the intervention and follow-up. Data for this secondary analysis were from the Wellness for Women community-based trial. Women (N ¼ 225) between the ages of 50e69 in rural Nebraska, U.S.A., were recruited. A repeated-measures experimental design was used with randomization of two rural counties to intervention (tailored newsletter) or comparison (standard newsletter) groups. Eating behavior was measured by the Healthy Eating Index. The predictor variables were assessed using standard measures. Data analysis was done using latent growth curve modeling. The tailored newsletter group was successful in improving their healthy eating behavior compared to the standard newsletter group during the one-year intervention, at the end of the intervention, and during the follow-up phase. Family support at the end of the intervention was positively associated with healthy eating at the end of the intervention. Perceived barriers had the strongest impact on healthy eating behavior at all time points. Compared to participants in the standard newsletter group, those in the tailored newsletter group perceived more family support and fewer barriers for healthy eating at the end of the intervention (mediation effects). Based on these findings, both family support and perceived barriers should be central components of interventions focused on healthy eating behavior in rural midlife and older women

Maintenance of activity and eating change after a clinical trial of tailored newsletters with older rural women.

BACKGROUND: In the Wellness for Women Project, a randomized-by-site 1-year controlled clinical trial, the efficacy of generic newsletters and newsletters tailored on Health Promotion Model behavior-specific cognitions, eating behavior, and activity behavior were compared among 225 women aged 50 to 69 years. OBJECTIVES: The purpose of this study was to compare the maintenance of change in healthy eating and physical activity over the 12 months following the tailored versus generic mailed newsletter intervention. METHODS: Outcomes at 18 and 24 months included behavioral markers and biomarkers of physical activity and eating. Data were analyzed using the multivariate approach to repeated measures analysis of variance and generalized estimating equations (alpha \u3c.05). RESULTS: At 18 months, the tailored group maintained levels of all eating and activity behaviors, whereas the generic group maintained levels of fruit and vegetable servings, a moderate or greater activity, stretching exercise, lower body strength and flexibility but increased saturated fat intake and declined in weekly strength exercise and cardiorespiratory fitness. At 24 months, both groups maintained or returned to 12-month levels of all eating behaviors,moderate or greater activity, stretching exercise, and flexibility but declined in cardiorespiratory fitness; the tailored group maintained levels of strength exercise and lower body strength, whereas the generic group decreased in both. A greater proportion of women who received tailored newsletters continued to achieve most Healthy People 2010 criteria for eating and activity. DISCUSSION: Mailed tailored print newsletters were more efficacious than generic newsletters in facilitating maintenance of change in eating and activity for 6 months postintervention. Both tailored and generic newsletters facilitated the maintenance of change in eating behaviors and in moderate or greater physical activity and stretching exercise, whereas tailored newsletters were more efficacious in maintaining change in strength exercise for 12 months postintervention

Predicting asthma-related crisis events using routine electronic healthcare data

Background There is no published algorithm predicting asthma crisis events (accident and emergency [A&E] attendance, hospitalisation, or death) using routinely available electronic health record (EHR) data. Aim To develop an algorithm to identify individuals at high risk of an asthma crisis event. Design and setting Database analysis from primary care EHRs of people with asthma across England and Scotland. Method Multivariable logistic regression was applied to a dataset of 61 861 people with asthma from England and Scotland using the Clinical Practice Research Datalink. External validation was performed using the Secure Anonymised Information Linkage Databank of 174 240 patients from Wales. Outcomes were ≥1 hospitalisation (development dataset) and asthma-related hospitalisation, A&E attendance, or death (validation dataset) within a 12-month period. Results Risk factors for asthma-related crisis events included previous hospitalisation, older age, underweight, smoking, and blood eosinophilia. The prediction algorithm had acceptable predictive ability with a receiver operating characteristic of 0.71 (95% confidence interval [CI] = 0.70 to 0.72) in the validation dataset. Using a cut-point based on the 7% of the population at greatest risk results in a positive predictive value of 5.7% (95% CI = 5.3% to 6.1%) and a negative predictive value of 98.9% (95% CI = 98.9% to 99.0%), with sensitivity of 28.5% (95% CI = 26.7% to 30.3%) and specificity of 93.3% (95% CI = 93.2% to 93.4%); those individuals had an event risk of 6.0% compared with 1.1% for the remaining population. In total, 18 people would need to be followed to identify one admission. Conclusion This externally validated algorithm has acceptable predictive ability for identifying patients at high risk of asthma-related crisis events and excluding those not at high risk