nach oben

Maternal and Child Health Journal

Erschienen in:

01.12.2012

Preconception Health Indicators: A Comparison Between Non-Appalachian and Appalachian Women

verfasst von: Vanessa L. Short, Reena Oza-Frank, Elizabeth J. Conrey

Erschienen in: Maternal and Child Health Journal | Sonderheft 2/2012

Einloggen, um Zugang zu erhalten

Abstract

To compare preconception health indicators (PCHIs) among non-pregnant women aged 18–44 years residing in Appalachian and non-Appalachian counties in 13 U.S. states. Data from the 1997–2005 Behavioral Risk Factor Surveillance System were used to estimate the prevalence of PCHIs among women in states with ≥1 Appalachian county. Counties were classified as Appalachian (n = 36,496 women) or non-Appalachian (n = 88,312 women) and Appalachian counties were categorized according to economic status. Bivariate and multivariable logistic regression models examined differences in PCHIs among women by (1) Appalachian residence, and (2) economic classification. Appalachian women were younger, lower income, and more often white and married compared to women in non-Appalachia. Appalachian women had significantly higher odds of reporting <high school education (adjusted odds ratio (AOR) 1.19, 95 % confidence interval (CI) 1.10–1.29), fair/poor health (AOR 1.14, 95 % CI 1.06–1.22), no health insurance (AOR 1.12, 95 % CI 1.05–1.19), no annual checkup (AOR 1.12, 95 % CI 1.04–1.20), no recent Pap test (AOR 1.20, 95 % CI 1.08–1.33), smoking (AOR 1.08, 95 % CI 1.03–1.14), <5 daily fruits/vegetables (AOR 1.11, 95 % CI 1.02–1.21), and overweight/obesity (AOR 1.05, 95 % CI 1.01–1.09). Appalachian women in counties with weaker economies had significantly higher odds of reporting less education, no health insurance, <5 daily fruits/vegetables, overweight/obesity, and poor mental health compared to Appalachian women in counties with the strongest economies. For many PCHIs, Appalachian women did not fare as well as non-Appalachians. Interventions sensitive to Appalachian culture to improve preconception health may be warranted for this population.

Johnson, K., Posner, S. F., Biermann, J., et al. (2006). Recommendations to improve preconception health and health care-United States. A report of the CDC/ATSDR Preconception Care Work Group and the Select Panel on Preconception Care. MMWR Recommendation Reports, 55(RR-6), 1–23.

Kramer, M. S. (1987). Determinants of low birth weight: methodological assessment and meta-analysis. Bulletin of the World Health Organization, 65(5), 663–737.PubMed

The Health Consequences of Smoking. (2004). A Report of the Surgeon General, U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health. Atlanta, GA: U.S. Department of Health and Human Services.

Mulrow, C. D., Chiquette, E., Ferrer, R. L., et al. (2000). Management of chronic hypertension during pregnancy. Evidence Report/Technology Assessment (Summary), 14, 1–4.

Henshaw, S. K. (1998). Unintended pregnancy in the United States. Family Planning Perspectives, 30(1), 24–29, 46.

Korenbrot, C. C., Steinberg, A., Bender, C., et al. (2002). Preconception care: A systematic review. Maternal and Child Health Journal, 6(2), 75–88.PubMedCrossRef

Broussard, D. L., Sappenfield, W. B., Fussman, C., et al. (2011). Core state preconception health indicators: a voluntary, multi-state selection process. Maternal and Child Health Journal, 15(2), 158–168.PubMedCrossRef

Health, United. (2011). States, 2010: With Special Feature on Death and Dying. Hyattsville, MD: National Center for Health Statistics.

Appalachian Regional Commission. About ARC. Available at http://www.arc.gov/about/index.asp. Accessed October 10, 2010.

10.

Behringer, B., & Friedell, G. H. (2006). Appalachia: where place matters in health. Prevention of Chronic Diseases, 3(4), A113.

11.

Lu, M. C., Tache, V., Alexander, G. R., et al. (2003). Preventing low birth weight: Is prenatal care the answer? Journal of Maternal-Fetal & Neonatal Medicine, 13(6), 362–380.CrossRef

12.

Baldwin, M., & Stevenson, Y. (2001). A model for providing prenatal health care to indigenous women living in remote areas. International Journal of Circumpolar Health, 60(4), 623–631.PubMed

13.

Laditka, S. B., Laditka, J. N., Bennett, K. J., et al. (2005). Delivery complications associated with prenatal care access for Medicaid-insured mothers in rural and urban hospitals. Journal of Rural Health, 21(2), 158–166.PubMedCrossRef

14.

Hillemeier, M. M., Weisman, C. S., Chase, G. A., et al. (2007). Individual and community predictors of preterm birth and low birthweight along the rural-urban continuum in central Pennsylvania. Journal of Rural Health, 23(1), 42–48.PubMedCrossRef

15.

Jesse, D. E., Seaver, W., & Wallace, D. C. (2003). Maternal psychosocial risks predict preterm birth in a group of women from Appalachia. Midwifery, 19(3), 191–202.PubMedCrossRef

16.

Smith, L. H., & Holloman, C. H. (2011). Health status and access to health care services: a comparison between Ohio’s rural non-Appalachian and Appalachian families. Family & Community Health, 34(2), 102–110.

17.

Appalachian Regional Commission. (2010). County Economic Status and Distressed Areas in Appalachia. Available at http://www.arc.gov/research/SourceandMethodologyCountyEconomicStatusFY2007FY2012.asp. Accessed October 10, 2010.

18.

Bloomberg, L., Meyers, J., & Braverman, M. T. (1994). The importance of social interaction: a new perspective on social epidemiology, social risk factors, and health. Health Education Quarterly, 21(4), 447–463.PubMedCrossRef

19.

Appalachian Regional Commission. (2010). Data Reports: Socioeconomic Data by County. Available at http://www.arc.gov/data. Accessed October 10, 2010.

20.

Centers for Disease Control and Prevention. (1995). Health insurance coverage and receipt of preventive health services-United States. MMWR Recommendations and Reports, 44(11), 219–225.

21.

Weissman, J. S., Stern, R., Fielding, S. L., et al. (1991). Delayed access to health care: risk factors, reasons, and consequences. Annals of Internal Medicine, 114(4), 325–331.PubMed

22.

Eberhardt, M. S., Ingram, D. D., Makuc, D. M., Urban and Rural Health Chartbook. (2001) National Center for Health Statistics. Hyattsville, MD.

23.

Appalachian Regional Commission. Relative Unemployment Rates in Appalachia, 2009. Available at http://www.arc.gov/research/MapsofAppalachia.asp?MAP_ID=24. Accessed October 19, 2011.

24.

Hatcher, J., Dignan, M. B., Turner, L. M., & Schoenberg, N. E. (2011). Predictors of cervical cancer screening for rarely or never screened rural Appalachian women. Journal of Health Care for the Poor and Underserved, 22(1), 176–193.PubMed

25.

Paskett, E. D., McLaughlin, J. M., Lehman, A. M., et al. (2011). Evaluating the efficacy of lay health advisors for increasing risk-appropriate Pap test screening: a randomized controlled trial among Ohio Appalachian women. Cancer Epidemiology Biomarkers Prevention, 20(5), 835–843.CrossRef

26.

Murin, S., Rafil, R., & Bilello, K. (2011). Smoking and smoking cessation in pregnancy. Clinics in Chest Medicine, 32(1), 75–91.PubMedCrossRef

27.

Wewers, M. E., Katz, M., Fickle, D., et al. (2006). Risky behaviors among Ohio Appalachian adults. Preventing Chronic Disease, 3(4), A127.PubMed

28.

Centers for Disease Control and Prevention. (2009). Sociodemographic differences in binge drinking among adults-14 states, 2004. MMWR Recommendations and Reports, 58(12), 301–304.

29.

Centers for Disease Control and Prevention. (2010). Vital signs: Binge drinking among high school students and adults-United States, 2009. MMWR Recommendations and Reports, 59(39), 1274–1279.

30.

Diala, C. C., Muntaner, C., & Walrath, C. (2004). Gender, occupational, and socioeconomic correlates of alcohol and drug abuse among U.S. rural, metropolitan, and urban residents. American Journal of Drug and Alcohol Abuse, 30(2), 409–428.PubMedCrossRef

31.

Gardiner, P. M., Nelson, L., Shellhaas, C. S., et al. (2008). The clinical content of preconception care: nutrition and dietary supplements. American Journal of Obstetrics and Gynecology, 199(Suppl 2), S345–S356.PubMedCrossRef

32.

Dubowitz, T., Heron, M., Bird, C. E., et al. (2008). Neighborhood socioeconomic status and fruit and vegetable intake among whites, blacks, and Mexican Americans in the United States. American Journal of Clinical Nutrition, 87(6), 1883–1891.PubMed

33.

Lin, B., United States Department of Agriculture. (2005). Nutrition and health characteristics of low-income populations. Healthy Eating Index Agriculture Information Bulletin (No. 796-1) pp. 1–4.

34.

Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention. Census tract level state maps of the modified retail food environment index (mrfei). Available at ftp://ftp.cdc.gov/pub/Publications/dnpao/census-tract-level-state-maps-mrfei_TAG508.pdf. Accessed August 2, 2012.

35.

Muamba, F., Clark, J. K., Betz, N., Food Access Gaps in Rural Ohio. (2010). Center for farmland policy innovation department of agricultural, environmental and development economics. Research Brief #2010-1 May 24, 2010. Available at http://cffpi.osu.edu/docs/RuralFoodAccessGaps.pdf. Accessed August 2, 2012.

36.

Centers for Disease Control and Prevention. (2007). County-Specific diabetes and obesity prevalence. Available at http://www.cdc.gov/obesity/data/trends.html#County. Accessed March 29, 2011.

37.

Baum, A., Garofalo, J. P., & Yali, A. M. (1999). Socioeconomic status and chronic stress. Does stress account for SES effects on health? Annals of the New York Academy of Sciences, 896, 131–144.PubMedCrossRef

38.

Nelson, D. E., Holtzman, D., Bolen, J., et al. (2001). Reliability and validity of measures from the Behavioral Risk Factor Surveillance System (BRFSS). Sozial- und Praventivmedizin, 46(Suppl 1), S3–S42.PubMed

39.

Martin, J. A., Hamilton, B. E., Sutton, P. D., Ventura, S. J., Mathews, T. J., Osterman M. J. K., Division of Vital Statistics, National Center for Health Statistics. (2010). Births: Final data for 2008. National vital statistics reports. Hyattsville, MD 59(1).

40.

Denham, S. A., Meyer, M. G., Toborg, M. A., & Mande, J. M. (2004). Providing health education to Appalachia populations. Journal of Holistic Nursing Practice, 18(6), 293–301.

Titel: Preconception Health Indicators: A Comparison Between Non-Appalachian and Appalachian Women
verfasst von: Vanessa L. Short
Reena Oza-Frank
Elizabeth J. Conrey
Publikationsdatum: 01.12.2012
Verlag: Springer US
Erschienen in: Maternal and Child Health Journal / Ausgabe Sonderheft 2/2012
Print ISSN: 1092-7875
Elektronische ISSN: 1573-6628
DOI: https://doi.org/10.1007/s10995-012-1129-1

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Sonderheft 2/2012

Preconception Health of Reproductive Aged Women of the Mississippi River Delta

Associations Between Neighborhood Characteristics and Physical Activity Among Youth Within Rural–Urban Commuting Areas in the US

The Effect of Parental Involvement on Problematic Social Behaviors Among School-Age Children in Kentucky

Developing a Standard Approach to Examine Infant Mortality: Findings from the State Infant Mortality Collaborative (SIMC)

Building Analytic Capacity, Facilitating Partnerships, and Promoting Data Use in State Health Agencies: A Distance-Based Workforce Development Initiative Applied to Maternal and Child Health Epidemiology

Promoting a Trained MCH Epidemiology Workforce in State Public Health Agencies Through Strategies Developed From Continued Partnerships