Original Study e-Poster(CLO# 5-8: MPH HP PLO# 5,6; CEPH HP #7)
Revise content from your "Original Study e-Poster Content" draft and put it in the attached e-Poster template. Students must earn at least 70% to pass this assignment.
NOTE: Any student earning below 70% will receive a score of zero for the assignment.
After the class posters can be revised and submitted for possible presentation at aprofessional conference such asWestern Users of SAS Software(WUSS), typically held in September.
Note: This assignment will be used to assess the CEPH HP Specialization Competency below:
7.Apply appropriate research principles and techniques to develop health promotion programs.
CEPH: Council on Education for Public Health
HP: Heath Promotion
Trends in Diabetes in US Women 2006-2010 . Title First Name and Last Name Department Name, School Name Graduate Student/Alumnus Conference Name, Conference Location, Date Discussion Strengths Limitations Conclusion References Acknowledgements Recommended Section for All Presenters: Special thanks to Faculty Mentor Name, Rank, Department, National University, for mentorship and guidance with this research project. For permissions or more information please contact author name and email address Abstract Background Objective Methods NU IRB Results Table Trends in Diabetes in US Women 2006-2010 TABLE 1. Univariate Associations of Characteristics of 271,734 BRFSS 2016 Study Respondents between ages 18-64 by self- reported one or more days in the past 30 days when mental health was not good. .Data Analysis for an Association Between Mental Health and BMI Department of Community Health, National University MPH Graduate Student COH613, National University, Date Special thanks to Tyler Smith MS, PhD, Chair of the Department of Community Health, National University, for mentorship and guidance with this research project. For permissions or more information please contact: Emily Good Weasel ,
[email protected] Variable Population N(%) 0 Not Good Days n(%) N=170,735 Not Good Days>1 n(%) N=100,999 p value* Race Ethnicity AI/AN 4,744 (1.7) 2,764 (1.6) 1,980 (1.9) Other Race 266,990 (98.2) 167,971 (98.3) 99,091 (98.0) <.0001 gender="" male="" 129,302="" (47.5)="" 89,449="" (52.3)="" 39,862="" (39.4)="" female="" 142,432="" (52.4)="" 81,925="" (47.6)="" 61,137="" (60.5)=""><.0001 education="" below="" hs="" 18,614="" (6.8)="" 10656="" (6.2)="" 7,958="" (7.8)="" hs="" grad="" or="" above="" 253,120="" (93.15)="" 160,079="" (93.7)="" 93,041="" (92.1)=""><.0001 variable="" population="" n(%)="" normal="" n(%)="" 87,224="" overweight/obese="" n(%)="" 184,510="" p="" value*="" race="" ethnicity="" ai/an="" 4,744="" (1.75)="" 1,244="" (1.4)="" 3500="" (1.9)="" all="" other="" race="" 266,990="" (98.25)="" 85,980="" (98.5)="" 181,010="" (98.1)=""><0.0001 gender="" male="" 129,302="" (47.5)="" 33,669="" (38.60)="" 95,633="" (51.8)="" female="" 142,432="" (52.4)="" 53,555="" (61.4)="" 88,877="" (48.7)=""><0.0001 mental="" health="" days="0" 170,735="" (62.8)="" 54,028="" (61.9)="" 116,707="" (63.2)="" not="" good="" days="" ≥="" 1="" 100,999="" (37.1)="" 33,196="" (38.06)="" 67,803="" (36.7)=""><0.0001 education="" below="" hs="" 18,614="" (6.8)="" 4984="" (18.2)="" 13,630="" (7.3)="" hs="" grad="" or="" above="" 253,120="" (93.1)="" 82,240="" (94.2)="" 170,880="" (92.6)=""><0.0001 table="" 2.="" univariate="" associations="" of="" characteristics="" of="" 271,734="" brfss="" 2016="" study="" respondents="" between="" ages="" 18-64="" by="" normal=""><= bmi=""><25) v.="" overweight/obese="" (bmi="" ≥="" 25).="" variable="" normal="" n(%)="" 87,224="" overweight/obese="" n(%)="" 184,510="" or*="" 95%="" ci="" race="" ethnicity="" ai/an="" 1,244="" (1.4)="" 3500="" (1.9)="" 1.322="" 1.238="" 1.412="" other="" race="" 85,980="" (98.5)="" 181,010="" (98.1)="" 1="" gender="" male="" 33,669="" (38.60)="" 95,633="" (51.8)="" 1="" female="" 53,555="" (61.4)="" 88,877="" (48.7)="" 0.585="" 0.575="" 0.595="" mental="" health="" 0="" not="" good="" days="" 54,028="" (61.9)="" 116,707="" 63.2)="" 1="" not="" good="" days="" ≥="" 1="" 33,196="" (38.06)="" 67,803="" (36.7)="" 1.008="" 0.991="" 1.025="" education="" below="" highschool="" 4984="" (18.2)="" 13,630="" (7.3)="" 1="" highschool="" or="" above="" 82,240="" (94.2)="" 170,880="" (92.6)="" 0.778="" 0.753="" 0.805="" tables="" study="" sample="" and="" population="" (table="" 1.)="" •="" data="" were="" complete="" and="" available="" for="" 271,734="" brfss="" 2016="" study="" respondents="" between="" ages="" 18-64.="" •="" there="" were="" 266,990="" (98.2)="" from="" a="" race="" other="" than="" american="" indian/alaskan="" native="" (ai/an).="" •="" there="" were="" proportionately="" more="" respondents="" that="" reported="" 0="" not="" good="" days,="" that="" was="" male="" and="" had="" graduated="" high="" school="" or="" above.="" p-="" value="0.001)." bivariate="" associations="" (table="" 2.)="" •="" there="" were="" proportionately="" more="" respondents="" who="" were="" overweight/obese="" that="" also="" reported="" 0="" not="" good="" days,="" that="" were="" male,="" and="" from="" all="" other="" races="" than="" ai/an="" (p-value="0.001)" adjusted="" odds="" of="" outcome="" (table="" 3)="" •="" respondents="" reporting="" days=""> 1 were 1.00 times the odds to be overweight/obese (BMI ≥ 25) compared to those reporting 0 Not Good Days after adjusting for gender, race, and education level (AOR=1.00; CI=0.99-1.02). • Those from the AI/AN race were 32% more likely to have an overweight/obese BMI when compared to those of all other races after adjusting for gender, race and education level ( AOR=1.32; CI= 1.23-1.41). • When compared to males, females were 42% less likely to be overweight/obese after adjusting for gender, race, and education level (AOR=0.585; CI=0.57-0.59). • When comparing education levels those that had an education of graduating high school and above were 23% less likely to be overweight/obese than those who did not graduate high school after adjusting for gender, race, and education level (AOR=0.77; CI=0.75-0.80). Discussion: • Prior research suggested that women are more likely to be obese and suffer from mental health issues (Tronieri, Wurst, Pearl, & Allison, 2017). Conclusively, the results show that 60.5% of the female sample population ages 18-64 reported at least one or more days when mental health was not good but did oppose previous suggestions finding that females were 42% less likely to be overweight/obese compared to males. • Previous research also suggests that certain Race/Ethnicity experience higher rates of being overweight or obese (Office of Minority Health [OMH], 2017b). Conclusively the data analyzed shows that AI/AN respondents were 32% more likely to be overweight/obese compared to all other races. • Previous research also indicated that people with college degrees had a lower BMI versus those without college degrees (CDC, 2018). The data analysis found that those who graduated high school or above were 23% less likely to be overweight/obese. Results/Discussion * p values based on Pearson chi-square test of association. * p values based on Pearson chi-square test of association. TABLE 3. Multivariate Logistic Regression Analysis (Unweighted) Comparing BMI (Normal v. Overweight/Obese) 271,734 BRFSS 2016 Study in Adults Ages 18-64 adjusting for Mental Health, Gender, Race and Education. *OR = Odds Ratio; ♦95% CI = 95% Confidence Interval; 1.00 = Reference A National University IRB review waiver was granted as the current research analyses, which used data previously collected by Behavioral Risk Factor Surveillance System (BRFSS), did not involve human subjects. NU IRB Study Design & Data Source Study Variables • Data comes from the Behavioral Risk Factor Surveillance System (BRFSS) 2016 survey questionnaire. • Inclusion Criteria = Adults ages 18-64 with Normal BMI (18.50 ≤ BMI <25) •="" and="" overweight/obese="" bmi(="" bmi="" ≥="" 25="" )="" excluding="" underweight="" bmi=""><18.50). •="" controlling="" variables="Race," gender,="" education="" •="" mental="" health="" status="" was="" measured="" by="" self-reported="" number="" of="" days="" where="" mental="" health="" was="" not="" good="" in="" the="" past="" 30="" days="" with="" categorized="" into="" :="" 0="" not="" good="" days,="" not="" good="" days="" ≥="" 1="" (brfss,="" 2016).="" •="" measurements="" of="" adult="" bmi="" status="" of="" normal="" is="" defined="" as="" 18.50="" ≤="" bmi=""><25 •="" and="" overweight/obese="" status="" is="" defined="" as="" bmi="" ≥="" 25="" (brfss,="" 2016).="" ▪="" education="" level="" was="" divided="" into="" two="" groups:="" (1)="" those="" who="" did="" not="" graduate="" high="" school="" and="" below,="" (2)="" those="" having="" graduated="" high="" school="" or="" above="" (brfss,="" 2016).="" ▪="" race="" measures="" were="" divided="" into="" two="" groups="" of="" (1)="" american="" indian/alaskan="" native="" and="" (2)="" all="" other="" races="" (brfss,="" 2016).="" statistical="" analyses="" and="" statistical="" software="" package="" •="" multivariable="" logistic="" regression="" used="" to="" compare="" the="" odds="" of="" association="" between="" bmi="" and="" mental="" health="" status="" adjusting="" for="" age,="" race,="" gender,="" and="" education="" level.="" •="" univariate="" analyses="" using="" pearson’="" chi-square="" test="" statistic="" for="" independent="" characteristics.="" ▪="" sas®="" ondemand="" for="" academics="" was="" used="" for="" data="" management="" and="" statistical="" analyses.="" statistical="" significance="" was="" measured="" at="" alpha=".05" (brfss,="" 2016).="" methods="" objective="" ▪="" to="" investigate="" the="" relationship="" between="" body="" mass="" index="" (bmi)="" and="" mental="" health="" status="" in="" adults="" ages="" 18-64="" years="" old="" after="" adjusting="" for="" race,="" gender,="" and="" education.="" background="" *="" research="" shows="" a="" relationship="" between="" bmi="" status="" and="" mental="" health="" status="" suggesting="" links="" between="" overweight/obese="" status="" and="" poor="" mental="" health="" (avila="" et="" al.,="" 2015;="" tronieri,="" wurst,="" pearl,="" &="" allison,="" 2017).="" *="" specific="" populations="" experience="" higher="" rates="" of="" being="" overweight="" or="" obese="" depending="" on="" things="" like="" gender,="" race,="" and="" education="" level="" (center="" for="" disease="" control="" and="" prevention="" [cdc],="" 2018).="" *="" gender="" influence="" shows="" a="" stronger="" association="" of="" high="" bmi="" and="" poor="" mental="" health="" existing="" in="" women="" since,="" women="" are="" more="" likely="" to="" experience="" weight="" biases="" and="" depression="" (tronieri,="" wurst,="" pearl,="" &="" allison,="" 2017).="" *="" race="" influences="" show="" statistics="" indicating="" that="" american="" indian/alaska="" native="" (ai/an)="" adults="" have="" a="" 50="" %="" more="" chance="" of="" being="" obese="" than="" non-hispanic="" whites="" (office="" of="" minority="" health="" [omh],="" 2017b).="" *="" ai/an="" are="" 50%="" more="" likely="" to="" report="" experiencing="" feelings="" of="" nervousness="" or="" restlessness="" in="" comparison="" to="" non-hispanic="" whites="" (omh,="" 2017a).="" *="" education="" level="" influences="" show="" that="" those="" with="" college="" degrees="" had="" a="" lower="" bmi="" versus="" those="" without="" college="" degrees="" (cdc,="" 2018).="" abstract="" research="" suggests="" there="" is="" a="" relationship="" between="" being="" overweight="" or="" obese="" and="" poor="" mental="" health.="" while="" factors="" like="" gender,="" education="" level,="" and="" race="" are="" also="" known="" to="" influence="" both="" bmi="" and="" mental="" health.="" data="" was="" analyzed="" in="" 271,734="" adults="" ages="" 18-64="" using="" the="" behavioral="" risk="" factor="" surveillance="" system="" (brfss)="" 2016="" to="" investigate="" the="" association="" between="" bmi="" normal="" (18.50="" ≤="" bmi=""><25) v.="" overweight/obese="" (bmi="" ≥="" 25="" )="" and="" mental="" health="" by="" ‘number="" of="" days="" when="" mental="" health="" was="" not="" good="" in="" the="" past="" 30="" days’="" (0="" days,="" days="" ≥="" 1="" ).="" adjustments="" made="" in="" gender,="" race,="" and="" education.="" results:="" there="" was="" a="" more="" proportionate="" amount="" of="" respondents="" who="" were="" overweight/obese="" reporting="" zero="" “not="" good="" days”="" that="" were="" male,="" from="" all="" other="" races="" than="" ai/an,="" and="" had="" graduated="" high="" school="" or="" above=""><0.001). multivariate analysis results after adjusting for gender, race, and education show that respondents were reporting days ≥ 1 were 1.00 times the odds of being overweight/obese (bmi ≥ 25) compared to those reporting days =0 (or=1.00; ci=0.99-1.02). conclusion: odds ratio of 1:1 indicates there is not a statistically significant association between bmi and mental health after adjusting for gender, race, and education level. more research is needed to find an association between bmi and mental health. • the brfss data is a collaborative effort by all 50 states working with the centers for disease control and prevention (cdc) known to be a primary source for us population statistics. • the analysis is complied from existing data sets with sas software which can address adjustments in variables. multivariate="" analysis="" results="" after="" adjusting="" for="" gender,="" race,="" and="" education="" show="" that="" respondents="" were="" reporting="" days="" ≥="" 1="" were="" 1.00="" times="" the="" odds="" of="" being="" overweight/obese="" (bmi="" ≥="" 25)="" compared="" to="" those="" reporting="" days="0" (or="1.00;" ci="0.99-1.02)." conclusion:="" odds="" ratio="" of="" 1:1="" indicates="" there="" is="" not="" a="" statistically="" significant="" association="" between="" bmi="" and="" mental="" health="" after="" adjusting="" for="" gender,="" race,="" and="" education="" level.="" more="" research="" is="" needed="" to="" find="" an="" association="" between="" bmi="" and="" mental="" health.="" •="" the="" brfss="" data="" is="" a="" collaborative="" effort="" by="" all="" 50="" states="" working="" with="" the="" centers="" for="" disease="" control="" and="" prevention="" (cdc)="" known="" to="" be="" a="" primary="" source="" for="" us="" population="" statistics.="" •="" the="" analysis="" is="" complied="" from="" existing="" data="" sets="" with="" sas="" software="" which="" can="" address="" adjustments="" in="">