Smoking, exercise and dietary behaviors among mothers of elementary school-aged children in a rural North Carolina county

Differences in Physical Activity and Diet Patterns between Non-Rural and Rural Adults

Background: It is unclear how rural occupations and lifestyles may play a role in shaping physical activity and diet behaviors that contribute to the rural–urban obesity disparity. Methods: Data come from the prospective and observational South Dakota Rural Bone Health Study, which included adults aged 20–66 years in three groups: (1) non-rural non-Hutterite, (2) rural non-Hutterite, and (3) rural Hutterite. Physical activity data were collected using 7-day physical activity questionnaires, and hours per day in physical activity categories are reported. Diet data were collected using food frequency questionnaires, and food group servings per day (svg/day) are reported. Mixed models were generated to determine group differences in physical activity and diet outcomes, and marginal group means are presented. Results: Among females, both rural groups spent more time in moderate activity (4.8 ± 0.13 h/day and 4.7 ± 0.09 h/day vs. 3.5 ± 0.11 h/day, both p < 0.001) and vigorous activity (0.58 ± 0.03 h/day and 0.53 ± 0.02 h/day vs. 0.43 ± 0.03 h/day, both p < 0.01) and less time sitting (4.4 ± 0.13 h/day and 4.3 ± 0.09 h/day vs. 5.0 ± 0.11 h/day, both p < 0.001) on weekdays than non-rural groups. Hutterite females spent fewer hours in moderate activity (2.6 ± 0.08 h/day vs. 4.5 ± 0.11 h/day, p < 0.001) and vigorous activity (0.18 ± 0.02 h/day vs. 0.46 ± 0.02 h/day, p < 0.001) on weekend days compared to rural females. Hutterite females consumed more fruits (2.2 ± 0.06 svg/day vs. 1.7 ± 0.10 svg/day, p < 0.001) and vegetables (3.6 ± 0.08 svg/day vs. 2.7 ± 0.12 svg/day, p < 0.001) than rural females. Among males, both rural groups spent more time in moderate activity (4.9 ± 0.13 h/day and 6.1 ± 0.12 h/day vs. 3.0 ± 0.16 h/day, both p < 0.001) and less time sitting (4.1 ± 0.13 h/day and 3.4 ± 0.12 h/day vs. 6.0 ± 0.15 h/day, both p < 0.001) on weekdays compared to non-rural groups. Hutterite males spent less time in moderate activity (2.1 ± 0.10 h/day vs. 4.1 ± 0.11 h/day, p < 0.001) and vigorous activity (0.15 ± 0.04 h/day vs. 0.74 ± 0.04 h/day, p < 0.001) on weekend days compared to rural males. Hutterite males consumed more vegetables (3.0 ± 0.10 svg/day vs. 2.0 ± 0.11 svg/day, p < 0.001) than rural males. Conclusions: A rural occupation and lifestyle appear to contribute to differences in physical activity, while traditional rural lifestyle practices contribute to differences in diet.

Trajectory of Adolescent Obesity: Exploring the Impact of Prenatal to Childhood Experiences

This study examined longitudinal associations of prenatal exposures as well as childhood familial experiences with obesity status from ages 10 to 18. Hierarchical generalized linear modeling (HGLM) was applied to examine 5,156 adolescents from the child sample of the 1979 National Longitudinal Survey of Youth (NLSY79). Higher maternal weight, maternal smoking during pregnancy, lower maternal education, and lack of infant breastfeeding were contributors to elevated adolescent obesity risk in early adolescence. However, maternal age, high birth weight of child, and maternal annual income exhibited long-lasting impact on obesity risk over time throughout adolescence. Additionally, childhood familial experiences were significantly related to risk of adolescent obesity. Appropriate use of family rules in the home and parental engagement in children's daily activities lowered adolescent obesity risk, but excessive television viewing heightened adolescent obesity risk. Implementation of consistent family rules and parental engagement may benefit adolescents at risk for obesity.

The effectiveness and cost-effectiveness of a rural employer-based wellness program

CONTEXT

The cost-effectiveness of employer-based wellness programs has been previously investigated with favorable financial and nonfinancial outcomes being detected. However, these investigations have mainly focused on large employers in urban settings. Very few studies examined wellness programs offered in rural settings.

PURPOSE

This paper aims to explore the effectiveness and cost-effectiveness of a rural employer-based wellness program.

METHODS

Six rural employers were categorized into 3 groups: a control group and 2 intervention groups with varying degrees of wellness activities. Participants were asked to complete an annual health risk assessment (HRA) that addressed 16 wellness areas. At the conclusion of 4 years, HRA and effectiveness data were utilized to examine program effectiveness and combined with program costs to estimate cost-effectiveness.

FINDINGS

The "Coaching and Referral" group-the highest in intensity of participant engagement-exhibited superior improvement in several wellness areas and in percentage of employees with good health indicators compared to the control and the Trail Marker, lower-intensity intervention groups. However, the Trail Markers had more favorable cost-effectiveness ratios.

CONCLUSIONS

Rural worksite wellness programs have shown great potential in their effectiveness and cost-effectiveness. Such programs need not be too aggressive, tedious, and costly to generate a favorable return for employers and funders. However, employers should be encouraged to experiment with different levels of wellness program intensities until a more favorable outcome can be realized.

Determination of Maternal Body Composition in Pregnancy and Its Relevance to Perinatal Outcomes

Three models and 10 specific methods for determining maternal body composition are discussed and their perinatal relevance reviewed. English language publications (1950 to January 2004) were searched electronically and by hand. Search terms included "body composition," "human," " pregnancy," "obesity," "adiposity," "regional," "2-, 3-, 4-component," "truncal," "peripheral," "central," "visceral" along with specific techniques and outcomes listed subsequently. Three models of body composition are described: 2-component being fat and fat-free mass; 3-component being fat, water, and protein; and 4-component being fat, water, protein, and osseous mineral. Ten techniques of body composition assessment are described: 1) anthropometric techniques including skinfold thicknesses and waist-hip ratio; 2) total body water (isotopically labeled); 3) hydrodensitometry (underwater weighing); 4) air-displacement plethysmography; 5) bio-impedance analysis (BIA); 6) total body potassium (TBK); 7) dual-energy x-ray absorptiometry (DEXA); 8) computed tomography (CT); 9) magnetic resonance imaging (MRI); and 10) ultrasound (USS). Most methods estimate total adiposity. Regional fat distribution-central (truncal) compared with peripheral (limb) or visceral compared with subcutaneous-is important because of regional variation in adipocyte metabolism. Skinfolds, DEXA, CT, MRI, or USS can distinguish central from peripheral fat. CT, MRI, or USS can further subdivide central fat into visceral and subcutaneous. Perinatal outcomes examined in relation to body composition include pregnancy duration, birth weight, congenital anomalies, gestational diabetes, gestational hypertension, and the fetal origins of adult disease. A few studies suggest that central compared with peripheral fat correlates better with birth weight, gestational carbohydrate intolerance, and hypertension. Means of accurately assessing maternal body composition remain cumbersome and impractical, but may more accurately predict perinatal outcomes than traditional assessments such as maternal weight.