Preconception: Who’s at Risk for Pregnancy

Slides:



Advertisements
Similar presentations
Integrating Family Planning Services into an STD Clinic Setting Judith Shlay, MD, MSPH Denver Public Health Denver, CO.
Advertisements

Integrating Family Planning Services into an STD Clinic Setting J. Shlay, D. Bell, M. Maravi, C. Urbina, and the entire Denver Metro Health Clinic Staff.
Associations between Obesity and Depression by Race/Ethnicity and Education among Women: Results from the National Health and Nutrition Examination Survey,
Inequalities in Health: Lifestyle Factors.
Noreen Clark, PhD Molly Gong, MD Melissa Valerio, MPH Sijian Wang, BS Xihong Lin, PhD William Bria, MD Timothy Johnson, MD University of Michigan School.
Is Unintended Pregnancy Associated with Increased Blood Pressure during Pregnancy? Author Author Author Date PH 251A.
Who is having intended births: Analysis of two adolescent birth cohorts ( and ) Isia Rech Nzikou Pembe and Ann Dozier, RN PhD University.
MEASURING CONTRACEPTIVE FAILURE James Trussell Office of Population Research Princeton University.
Presenting Statistical Aspects of Your Research Analysis of Factors Associated with Pre-term Births in North Carolina.
Press Release FOR IMMEDIATE RELEASE:CONTACT: Roseanne Pawelec, Tuesday, July 23, 2002(617) NEARLY HALF OF ALL MASSACHUSETTS RESIDENTS OVERWEIGHT.
Preconception Health: Has the 2006 Call to Action Been Acted Upon? Pamela K. Xaverius, PhD & Joanne Salas, M.P.H.
Dental Care During Pregnancy Oregon 2000 Kathy R. Phipps, DrPH (1) Kenneth D. Rosenberg, MD, MPH (2) Alfredo P. Sandoval, MS, MBA (2) (1) Association of.
THE RELATIONSHIP BETWEEN BMI AND SUICIDALITY IN YOUNG ADULT WOMEN Alexis E. Duncan, Pamela A.F. Madden, and Andrew C. Heath Washington University Department.
Women’s Health in Massachusetts Highlights from the Massachusetts Behavioral Risk Factor Surveillance System (BRFSS): Health Survey Program Bureau.
Prevention of Preterm Births: The Role of Family Planning
Prevention of Birth Defects: Periconceptional Multivitamins with Folic Acid (MVF) Jill Moore (1) Ken Rosenberg, MD, MPH (1,2) Al Sandoval, MS, MBA (2)
Using Virginia PRAMS data to assess the impact of WIC and Home Visiting Programs on birth outcomes August 10, 2011 Monisha Shah GSIP Intern.
HS499 Bachelor’s Capstone Week 6 Seminar Research Analysis on Community Health.
Focus Area 9 Family Planning Progress Review December 8, 2004.
Background Study Objectives Poster No. B50 Track 2  Family planning affects women’s health and lives, and depends on a variety of socio-demographic and.
Do Sex and Drug Behavior Patterns Account for HIV/STD Racial Disparities? May 8, 2007 Denise Hallfors, Ph.D. Bonita Iritani, M.A.
Perinatal Health: From a women’s health lifespan perspective Diana Cheng, M.D. Medical Director, Women’s Health Center for Maternal and Child Health 1.
Contraceptives Conception – time after fertilization and before implantation Contra – prefix meaning “against” A contraceptive device prevents conception.
Intimate Partner Violence During Pregnancy: Arguing As a Risk Factor in a Population-Based Survey Kenneth D. Rosenberg, MD, MPH (a,b), Katherine D. Woods,
Contraception. Agenda Quick Write….15 min 4 Categories of Contraception….15 min Risks and Views.…5 min Decision Making….10 min.
Alcohol Consumption and Diabetes Preventive Practices: Preliminary Findings from the U.S.-Mexico Border Patrice A.C. Vaeth, Dr.P.H. Raul Caetano, M.D.,
Unplanned pregnancy in the 2011 Botswana Antenatal Clinic Sentinel Surveillance A.C. Voetsch, M.G. Anderson, E. Machakaire, S. Bodika, W. Jimbo, B.P. Yadav,
Predicting Pregnancy Risk among Women Attending an STD Clinic Judith Shlay MD, MSPH Denver Public Health September 21, 2008 CityMatCH Conference.
Family Planning In Jordan
Chapter 13 Personal Wellness Sexually Transmitted Diseases Pages
WHY CONTRACEPTION FAILS James Trussell Office of Population Research Princeton University.
What Factors Influence Early Sexual Debut amongst Youth: Comparative Evidence from Nigeria and India ICASA 2011 Babatunde.O, Temitope.F, Imoisili.A, Alabi.F.
Why don’t Key Populations Access HIV
Adapted and reproduced with permission from Alberta Health Services
Contraceptive non-use and emergency contraceptive use at first sexual intercourse among nearly Scandinavian women SONIA GULERIA1 , KIRSTEN E. JUUL1.
Generalized Logit Model
Nation’s First Collaborative School of Public Health
1University of Kentucky, Lexington, Kentucky
Current or Former Smokers
The Need for Comprehensive School Health Education
APHA Annual Meeting, November 2009
Prevalence of Self-Reported Diabetes and Exposure to Organochlorine Pesticides among Mexican-Americans: Hispanic Health and Nutrition Examination Survey.
Birth Control & Family Planning Types of Birth Control Hormonal Barrier IUD Methods based on information Permanent sterilization.
TOTALLY YOURS….
Section I: Characteristics of Construction Workers
Michael Lowe, PhD, MSPH Division of Reproductive Health
Exercise Adherence in Patients with Diabetes: Evaluating the role of psychosocial factors in managing diabetes Natalie N. Young,1, 2 Jennifer P. Friedberg,1,
Impact of Psychosocial Health on Pregnancy Intention
Associations between Depression and Obesity: Findings from the National Health and Nutrition Examination Survey, Arlene Keddie, Ph.D. Assistant.
Robert H. Keefe, PhD, ACSW Sandra D. Lane, PhD, MPH
Adapted and reproduced with permission from Alberta Health Services
A study of high risk African American women, 15 to 21 years of age
V C U Differences in Food Intake and Exercise by Smoking Status in Middle and High School Students Diane B. Wilson*, EdD, RD, Brian N. Smith, PhD, Ilene.
Contraceptive Method Choice Among Married Women in West Java Province, Indonesia By. Rina Gustiana
Urban Indian Health Institute Seattle Indian Health Board
EJ Simoes, MD1,6; J Jackson-Thompson, MSPH, PhD1,2,6; TS Tseng, DrPH3
Bronx Community Health Dashboard: Breast Cancer Last Updated: 1/19/2018 See last slide for more information about this project. While breast.
Kelly Murguia, MSN, NP Reedley College Health Services Coordinator
Sexual Health Joy Schaubhut, MPH Public Health Educator
UNIT 4: HIV, STD & Pregnancy Prevention
WHY ABORTION?.
WHY ABORTION?.
A Next Step: Estimating Impact from CYP
Pamela K. Pletsch, RN, PhD, Sarah Morgan, RN, MS, CNM 
Did not have a usual source of care Went without care because of cost
1994 Methodology The percent of U.S. adults who are obese or who have diagnosed diabetes was determined by using data from the Behavioral Risk Factor Surveillance.
Every Woman Every Time Delaware!
Association of vitamin D intake and serum levels with fertility: results from the Lifestyle and Fertility Study  June L. Fung, Ph.D., Terryl J. Hartman,
Subgroup analysis of associations between egg consumption and risk of incident cardiovascular disease (CVD), ischaemic heart disease (IHD), haemorrhagic.
Unadjusted and adjusted prevalence estimates of self-reported cancer according to diabetes types among men (A) and women (B) (BRFSS 2009). Unadjusted and.
Presentation transcript:

Preconception: Who’s at Risk for Pregnancy Pamela K. Xaverius, PhD Leigh Tenkku, PhD, MPH Daniel S. Morris, MS Joanne Salas, BA

Objectives We hypothesized that factors related to life style choices and clinical practices are associated with pregnancy intention and risk status.

Background Preconception health refers to the health of a woman before she becomes pregnant. Preconception guidelines recommend every women should have a reproductive health plan, ongoing assessment at every health encounter, and risk factor modification. A paucity of research has documented the extent to which women adhere to preconception health guidelines.

A Life Span Approach Source: Boonstra et al., 2006

Contraceptives & Pregnancy Risk Type of contraceptive method has been evaluated in terms of perfect use and actual use: 1,2,3 Continuous birth control methods (i.e., hormonal management, sterilization, IUD) resulting in fewer unintended pregnancies Periodic birth control methods (i.e., condom, spermicides or withdrawal) resulted in more unintended pregnancies 1 Potter L. (1996) How effective are contraceptives? The determination and measurement of pregnancy rates. Journal of Obstetrics and Gynecology, 88, 13S-23S. 2 Hatcher R., Trussell J., Steward F., Steward G., Kowal D., Guest F., Eds. (1994).. Contraceptive technology. 16th edition. New York: Irvington Publishers: 107-138, 637-688. 3 Rosenfeld J., & Everett K. (2000). Lifetime patterns of contraception and their relationship to unintended pregnancies. The Journal of Family Practice, 49, 823-828.High Risk

Methods Using the Behavioral Risk Factor Surveillance System (BRFSS) 2002 and 2004 datasets, we examined risk factors of non-pregnant, 18-44 year old, fertile women (n=62,154), sorting their risk for pregnancy by intention and contraceptive method.

BRFSS Preconception Categories Intended Pregnancy (n=4,862) Not doing anything to prevent a pregnancy because they wanted a pregnancy. High risk - Unintended Pregnancy (n=16,113) Not doing anything to prevent pregnancy for reasons other than want a pregnancy. Moderate risk - Unintended Pregnancy (n=18,183) Using periodic birth control methods (i.e., condom, diaphragm, foams/creams, not having sex at certain times, withdrawal, and emergency contraception) Low risk - Unintended Pregnancy (n=21,243) Using continuous birth control methods (i.e., the pill, Norplant, the IUD, and Depo-Provera/Lunelle shots )

Behavioral Risks BMI Category Alcohol Use Smoking Leisure Activity Any Use Binge Use Heavy Use Smoking Leisure Activity Folic Acid

Screening Risks Had Pap Test Had HIV Test STD Counseling Tobacco Counseling Dental Visit

Results: Behavioral Risk Factors IP Unintended-HR Unintended-AR Low-Risk Referent   (n = 3521) Prevalence % (95% CI) (n = 14781) (n = 15956) (n = 17402) (n = 8741) Lifestyle / Behavioral BMI Underweight (<18.5) 3.9 (3.0, 5.2) 3.5 (2.9, 4.1) 4.4 (3.8, 5.0) 3.8 (3.3, 4.5) 3.5 (2.8, 4.2) Normal (18.5-24.9) 47.6 (44.6, 50.6) 46.2 (44.7, 47.7) 52.2 (50.7, 53.6) 53.6 (52.2, 55.0) 60.9 (59.2, 62.6) Overweight (25.0-29.9) 23.9 (21.6, 26.5) 26.6 (25.3, 28.0) 25.6 (24.3, 26.9) 24.9 (23.7, 26.2) 22.1 (20.7, 23.6) Obese (≥30.0) 24.5 (22.1, 27.2) 23.7 (22.5, 25.0) 17.9 (16.8, 19.1) 17.7 (16.6, 18.8) 13.6 (12.5, 14.8) Any alcohol use 51.5 (48.6, 54.4) 46.5 (45.1, 48.0) 56.4 (55.0, 57.9) 56.2 (54.8, 57.6) 72.2 (70.6, 73.6) Binge drinker 10.3 (8.6, 12.3) 10.7 (9.9, 11.6) 14.0 (13.0, 15.0) 13.8 (12.9, 14.7) 19.1 (17.7, 20.5) Heavy drinker 4.8 (3.5, 6.4) 4.3 (3.8, 4.9) 6.5 (5.8, 7.4) 5.5 (4.9, 6.1) 7.4 (6.5, 8.5) Current smoker 22.3 (20.0, 24.8) 26.3 (25.1, 27.6) 21.5 (20.3, 22.7) 20.6 (19.6, 21.7) 20.2 (18.8, 21.7) Exercised 74.4 (71.7, 77.0) 68.8 (67.4, 70.2) 76.6 (75.2, 77.9) 77.1 (75.9, 78.3) 89.1 (88.1, 90.1) Folic Acid Supplements 65.4 (46.5, 80.4) 25.6 (18.5, 34.2) 36.5 (27.5, 46.5) 48.7 (38.8, 58.7) 52.5 (37.8, 66.9)

Results: Screening Risk Factors IP Unintended-HR Unintended-AR Low-Risk Referent   (n = 3521) Prevalence % (95% CI) (n = 14781) (n = 15956) (n = 17402) (n = 8741) Screening Had Pap Test 95.1 (93.3, 96.4) 90.5 (89.3, 91.6) 91.2 (90.2, 92.1) 96.2 (95.5, 96.7) 98.5 (98.1, 98.9) Had HIV Test 65.2 (62.4, 67.9) 54.7 (53.2, 56.2) 61.0 (59.6, 62.5) 61.8 (60.4, 63.1) 60.7 (58.9, 62.4) STD Counseling 19.5 (17.2, 22.2) 18.6 (17.4, 19.8) 28.9 (27.5, 30.3) 38.2 (36.8, 39.6) 19.0 (17.5, 20.6) Tobacco Counseling 72.1 (60.1, 81.7) 61.9 (54.6, 68.8) 62.8 (56.2, 68.9) 60.5 (55.4, 65.4) 67.6 (61.4, 73.2) Dental Visit 25.8 (23.4, 28.3) 29.5 (28.2, 30.9) 30.7 (29.3, 32.0) 26.8 (25.6, 28.1) 19.4 (18.0, 20.9)

Results: Adjusted Odds Ratios   Intended Pregnancy (IP) Unintended Pregnancy- High Risk (UP-HR) Unintended Pregnancy- Average Risk (UP-AR) Unintended Pregnancy - Low Risk (UP-LR) Lifestyle / Behavioral aPOR 95% CI Any Alcohol 0.87 0.74, 1.02 0.70 0.62, 0.79 0.98 0.87, 1.10 Binge 0.81 0.63, 1.04 0.77 0.65, 0.91 0.89 0.76, 0.70, 0.95 Heavy Alcohol 1.20 0.80, 1.80 0.94 1.29 1.01, 1.64 0.96 0.77, 1.21 Current smoker 1.08 0.90, 1.31 0.83, 0.83 0.72, 0.71 0.61, Exercise 0.84 0.68, 0.76 1.01 1.18 0.95, 1.28 Folic Acid 1.33 0.41, 4.32 0.33 0.13, 0.50 0.21, 1.19 0.72 0.30, 1.78 a Binary logistic regression in STATA’s survey design analysis function was used to calculate prevalence adjusted odds ratios, controlling for the influence of race, age, marital status, education, income, employment and health insurance. b Referent Group = Non-pregnant women, aged 21-34, HS education or more, White,non-Hispanic, income>$35K, employed, has health insurance (N=8741)

Results: Adjusted Odds Ratios   Intended Pregnancy (IP) Unintended Pregnancy- High Risk (UP-HR) Unintended Pregnancy- Average Risk (UP-AR) Unintended Pregnancy - Low Risk (UP-LR) Screening aPOR 95% CI Had Pap Test 0.41 0.25, 0.66 0.21 0.15, 0.30 0.35 0.50 0.99 0.68, 1.45 Had HIV Test 1.05 0.89, 1.23 0.65 0.57, 0.73 0.83 0.74, 0.94 0.85 0.76, 0.95 STD Counseling 0.74 0.59, 0.56 0.47, 0.86 1.00 1.24 1.07, 1.44 Tobacco Counseling 1.07 0.55, 2.12 0.44, 1.25 0.93 1.51 0.71 1.09 Dental Visit 0.75 0.62, 0.91 0.73, 0.98 0.92 0.80, 1.06 0.63, a Binary logistic regression in STATA’s survey design analysis function was used to calculate prevalence adjusted odds ratios, controlling for the influence of race, age, marital status, education, income, employment and health insurance. b Referent Group = Non-pregnant women, aged 21-34, HS education or more, White,non-Hispanic, income>$35K, employed, has health insurance (N=8741)

Conclusions Women not using any birth control have the highest prevalence of obesity and smoking and lowest prevalence of leisure activity, and those not intending a pregnancy have the lowest prevalence of folic acid consumption. While the odds of women intending a pregnancy are engaging in selected lifestyle activities are comparable to the referent group, women at the highest risk for an unintended pregnancy are less likely to consume alcohol as well as less likely to exercise or consume folic acid. High Risk women are at a lower odds for any of the clinical screening exposures analyzed here.

Public Health Impact Women may be more likely to change behaviors at pregnancy, but the idea is to change behaviors BEFORE pregnancy. If women choose to engage in behaviors that could hurt a pregnancy, they can also choose to use birth control to prevent a pregnancy. We need to do a better job of clinically reaching women that are intending a pregnancy, beyond folic acid consumption, as well as women that are not intending a pregnancy.