Audrey R Murchland1, Chloe W Eng1, Joan A Casey2,3, Jacqueline M Torres1, Elizabeth Rose Mayeda4. 1. Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA. 2. Division of Environmental Health Sciences, University of California, Berkeley School of Public Health, San Francisco, CA, USA. 3. Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA. 4. Department of Epidemiology, University of California, Los Angeles Fielding School of Public Health, Los Angeles, CA, USA.
Abstract
OBJECTIVES: To quantify inequalities in the prevalence of elevated depressive symptoms by rural childhood residence and the extent to which childhood socioeconomic conditions and educational attainment contribute to this disparity. METHODS: We identified the prevalence of depressive symptoms among US-born adults ages 50 years and older in the 1998 to 2014 waves of the Health and Retirement Study (n = 16 022). We compared prevalence of elevated depressive symptoms (>4/8 symptoms) by rural versus nonrural childhood residence (self-report) and the extent to which own education mediated this disparity. We used generalized estimating equations and marginal standardization to calculate predicted probabilities of elevated depressive symptoms. RESULTS: In age, race/ethnicity, and sex-adjusted models, rural childhood residence was associated with elevated depressive symptoms (OR = 1.20; 95% CI, 1.12-1.29; marginal predicted probability 10.5% for rural and 8.9% for nonrural childhood residence). Adjusting for US Census birth region and parental education attenuated this association (OR = 1.07; 95% CI, 0.99-1.15; marginal predicted probability 9.9% for rural and 9.3% for nonrural). After additional adjustment for own education, rural childhood residence was not associated with elevated depressive symptoms (OR = 0.94; 95% CI, 0.87-1.01; marginal predicted probability 9.2% for rural and 9.8% for nonrural). CONCLUSIONS: Rural childhood residence was associated with elevated depressive symptoms in middle-aged and older adults; birth region, parental education, and own education appear to contribute to this disparity.
OBJECTIVES: To quantify inequalities in the prevalence of elevated depressive symptoms by rural childhood residence and the extent to which childhood socioeconomic conditions and educational attainment contribute to this disparity. METHODS: We identified the prevalence of depressive symptoms among US-born adults ages 50 years and older in the 1998 to 2014 waves of the Health and Retirement Study (n = 16 022). We compared prevalence of elevated depressive symptoms (>4/8 symptoms) by rural versus nonrural childhood residence (self-report) and the extent to which own education mediated this disparity. We used generalized estimating equations and marginal standardization to calculate predicted probabilities of elevated depressive symptoms. RESULTS: In age, race/ethnicity, and sex-adjusted models, rural childhood residence was associated with elevated depressive symptoms (OR = 1.20; 95% CI, 1.12-1.29; marginal predicted probability 10.5% for rural and 8.9% for nonrural childhood residence). Adjusting for US Census birth region and parental education attenuated this association (OR = 1.07; 95% CI, 0.99-1.15; marginal predicted probability 9.9% for rural and 9.3% for nonrural). After additional adjustment for own education, rural childhood residence was not associated with elevated depressive symptoms (OR = 0.94; 95% CI, 0.87-1.01; marginal predicted probability 9.2% for rural and 9.8% for nonrural). CONCLUSIONS: Rural childhood residence was associated with elevated depressive symptoms in middle-aged and older adults; birth region, parental education, and own education appear to contribute to this disparity.
Authors: Jonathan Purtle; Katherine L Nelson; Yong Yang; Brent Langellier; Ivana Stankov; Ana V Diez Roux Journal: Am J Prev Med Date: 2019-02-16 Impact factor: 5.043
Authors: Sze Yan Liu; M Maria Glymour; Laura B Zahodne; Christopher Weiss; Jennifer J Manly Journal: J Int Neuropsychol Soc Date: 2015-09-28 Impact factor: 2.892