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. Author manuscript; available in PMC: 2022 Dec 19.
Published in final edited form as: Matern Child Health J. 2022 Jan 22;26(6):1203–1210. doi: 10.1007/s10995-021-03354-6

A Pilot Trial of a Health Promotion and Illness Prevention Paradigm in the Perinatal Period

Sarah Guth 1, Ellen McGinnis 1, William Copeland 1, James Hudziak 1
PMCID: PMC9762324  NIHMSID: NIHMS1852085  PMID: 35064428

Abstract

Objectives

This is a pilot study of the Vermont Family Based Approach, an innovative health promotion program designed to address behavioral health prevention in primary care, adapted for perinatal women. We aimed to determine the acceptability of the intervention across socioeconomic strata, and to identify if participation improves perinatal mental health.

Methods

Recruitment occurred at a general obstetrics practice. Women 12–25 weeks gestation were paired with a wellness coach who administered a wellness assessment and used motivational interviewing to facilitate individualized plans based on evidence-based domains of health promotion. Participants were offered access to free, co-located wellness activities through the peripartum, and referred to behavioral health services if appropriate.

Results

93 women consented; 16 Medicaid Insured women (MI) and 30 Privately Insured (PI) were randomized to the intervention. Of all activities, yoga and parenting activities were most appealing, with 58% of women attending. PI (M = 12.30, SD = 11.71) attended significantly more activities than MI (M = 3.81, SD = 12.30; p = .001). Trauma exposure was inversely associated with attendance (p = .004). Randomization to the intervention was not associated with improvements in internalizing symptoms or perceived stress at 12 months postpartum, however, attending three or more wellness activities was associated with a decrease in perceived stress between baseline and 12 months postpartum.

Conclusion

This program appeared acceptable and engaging to women with private insurance, but less so with Medicaid. The trial failed to demonstrate improvement in internalizing scores, but of those randomized to the intervention, higher engagement was associated with decreased stress one year after giving birth.

Keywords: Health promotion, PMADS, Perinatal mental health, Prevention, Postpartum depression

Significance

Perinatal mental illness is recognized as a serious issue for women with long-term repercussions on offspring. Screening and detection are improving but treatment options remain limited. As with any illness, prevention is ideal, yet there has been little research in this area. This is the first RCT to utilize health coaching with individualized goalsetting and access to free and co-located wellness activities throughout the peripartum. This study describes the feasibility, acceptability and impact of the approach offered in a university obstetrics clinic to women with private insurance and women insured by Medicaid.

Objectives

Perinatal mood and anxiety disorders (PMADs) are prevalent, under-recognized, and under-treated. In addition to the suffering this causes child-bearing women and their families, a 2017 estimate of the cost of PMADS in the US was 14.2 billion dollars. About 60% of the costs were maternally attributed, with loss of productivity and higher obstetric-related healthcare costs, while the remainder were associated with child outcomes, such as preterm birth, behavioral, and developmental disorders. (Luca et al., 2019). Children of women with PMADS are at increased risk for internalizing disorders (Santos et al., 2014), behavioral problems (Stein et al., 2014), impaired socioemotional development (Junge et al., 2017), lower academic achievement (van der Waerden et al., 2017), and even compromised growth (Surkan et al., 2008).

There have been many initiatives to improve screening and early intervention, but nothing is more cost effective than illness prevention. A recent systematic review of prevention studies found a small to medium effect associated with programs designed to decrease the risk of developing PMADS (O’Connor et al., 2019). The programs reviewed varied in scope, including psychotherapeutic interventions and medications. A few studies focused on lifestyle-based health promotion, including yoga and exercise interventions, which demonstrated trend-level benefit, but were limited in scope and generalizability.

Up to this point, most wellness-based interventions are prescriptive in nature, based on a single type of intervention and a set number of classes. These programs may have limited ecologic validity and sustainability. Research suggests that motivational interviewing (Rubak et al., 2005) and collaborative goal setting (Epton et al., 2017) are highly effective in health behavior change. We are not aware of any perinatal prevention studies that utilize motivational interviewing or involve individually tailored prevention strategies which may lead to habit change sustained beyond the duration of the intervention. Another limitation associated with many existing prevention programs relates to generalizability, many efficacious interventions report samples with disproportionately high SES (Davis et al., 2015; Muzik et al., 2012; Woolhouse et al., 2014). We aim to include women on Medicaid insurance to specifically understand effectiveness in a more representative, universal sample who engage in obstetrics care.

The Vermont Family Based Approach (VFBA) is an illness prevention program that originated in pediatric care (Hudziak & Ivanova, 2016), and is directly applicable to pregnant women. The VFBA is a population-based, universal intervention, which focuses on emotional and behavioral health as the key to overall health with an emphasis on wellness promotion. The approach involves a multi-disciplinary team and is tailored to an individual’s risk level. All participants are offered a “wellness coach” and co-located wellness activities, while individuals found to be at higher risk are referred for psychotherapy and/or medication management with a psychiatrist as needed. The paradigm includes an initial assessment component, triage to higher level of care when appropriate, and then incorporates motivational interviewing to facilitate all women to set goals across various wellness domains, each linked to evidence for improving mental health, decreasing stress, and in some cases targeting improved bonding with offspring, which is a potential mitigator of the effects of PMADs on offspring. (Reck et al., 2016). The evidence-based domains include prenatal nutrition, (Navarro et al., 2017), exercise (Bø et al., 2016), yoga (Gong et al., 2015), mindfulness (Perez-Blasco et al., 2013), parenting competency (Rosenblum et al., 2018) and social support (Ohara et al., 2017).

Results of the first VFBA randomized control trial in pediatrics have established improved emotional and behavioral outcomes for children and improved health-related quality of life for parents (Ivanova et al., 2019). Given that the perinatal period is a time of inherently increased motivation, (Cooper et al., 2017) but also of vulnerability, we proposed a trial to test the VFBA in women through pregnancy and the postpartum period. The purpose of the paper is twofold. First, we describe how women interacted with the intervention, which includes an examination of recruitment into the study, and then engagement in the study activities, with consideration of insurance status and other participant characteristics associated with participation. The second focus is to characterize the effect of participation in the VFBA on internalizing symptoms and perceived stress at one year postpartum, which marks the end of the intervention.

Methods

Recruitment

This research was conducted in accord with prevailing ethical principles and reviewed by an Institutional Review Board at the University of Vermont. Women between 12 and 25 weeks gestation were eligible and recruited between December, 2016 and May, 2018 from two University of (Blinded) obstetrics clinics. They were excluded if they were under 18 or unable to fill out questionnaires or provide informed consent due to language barrier or intellectual disability. Women were approached by their provider or clinic staff with a flyer explaining the research and asking for contact information if interested in participating. Research staff called all interested women to set up an initial visit. Posters were also distributed around the clinics encouraging women to call for more information, at which time the initial visit could also be scheduled. Women were offered a total of $90 in compensation for completing questionnaires at baseline and postpartum.

Study Design

Participants were randomized to receive the VFBA-based wellness promotion and illness prevention paradigm, or to the control group, who filled out questionnaires and otherwise received prenatal care as usual. To test a range of socioeconomic backgrounds, our recruitment targeted equal numbers of women with private insurance and Medicaid. Due to uneven recruitment rates in the first six months, women on Medicaid were randomized to the intervention at a higher rate (See Fig. 1). This protocol was approved by the University of Vermont Institutional Review Board.

Fig. 1.

Fig. 1

Flow of women through recruitment and study engagement

Assessments

Study data were collected and managed using REDCap (Research Electronic Data Capture), a secure, web-based application. To measure mental health at baseline and follow up, we chose the Adult Self Report (ASR), a comprehensive mental health questionnaire, because it includes a series of problem-based subscales empirically derived through factor analysis, such as “attention problems”, or “somatic complaints”. Each subscale offered valuable information to provide women feedback in the initial session. The “internalizing” subscale, which encompasses both anxiety and depressive problems, was chosen as a targeted outcome, since both symptoms are elevated in the perinatal period. This scale has high internal consistency (α = 0.92) and test-retest reliability (r = 0.89), (Achenbach & Rescorla, 2003). The other outcome measure, administered at baseline and 12 months postpartum, was the Perceived Stress Scale (PSS) (Cohen et al., 1983) is a valid and reliable 10-item scale chosen as the most widely used instrument to measure perception of stress. Additional scales used at baseline only were chosen to measure various domains of wellness, for the purpose of providing women with feedback on their current wellness. These scales included the Substance Use Risk Profile-Pregnancy, (Yonkers, et al., 2010), Evaluation of Physical Exercise During Pregnancy (Nascimento et al., 2015), a list of Adverse Childhood Events, the Dyadic Adjustment Scale (a measure of partner satisfaction), and a health behavior and nutrition questionnaire developed specifically for this study (Can be made available upon request).

Engagement in the study was measured via number of activities attended. Women who attended three or more activities were considered “participators”, as opposed to “non-participators” who attended three or fewer.

Illness Prevention Paradigm

Goal-Setting Session

Women randomized to the intervention were scheduled for an initial meeting with the Wellness Coach (WC). WCs are master’s-level healthcare professionals who had received training in the theoretical foundations of behavior change, Motivational Interviewing, and evidence-based interventions. They directly coach women vis-à-vis the pillars of wellness. Prior to this meeting, the research team analyzed the results of each participant’s questionnaires underscoring areas of strengths and challenges across wellness domains. On each wellness questionnaire, a challenge threshold was determined and if women scored beyond that threshold this domain was identified as an area with room for improvement. For example, women would be considered to have a challenge in the exercise domain if they endorsed less than 150 min of any type of exercise. Table 1 lists the challenge thresholds and the number of women with challenges in each domain.

Table 1.

Provider Identified Challenges at Baseline by Wellness Domain (n = 52)

Wellness domain Challenge threshold Total (n = 53) % (n) PI (n = 30) % (n) MI (n = 22) % (n)
Exercise 0–150 min per week 65.4% (34) 63.3% (19) 68.2% (15)
Sleep Fairly or Very Bad Quality 30.8% (16) 16.7% (5) 50% (11)
Stress > 18 On PSS 31.4% (16) 16.7% (5) 52.4% (11)
Partner Support “None” or “Unhappy” with help raising child 19.2% (10) 10% (3) 31.8% (7)
Trauma 4 or more ACES 32.7% (17) 16.7% (5) 54.5% (12)
Drug Use Any drug use in last month 5.8% (3) 3.3% (1) 9.1% (2)
Mental Health Clinically Elevated (T > 65) Internalizing Problems 3.8% (2) 0% (0) 9.1% (2)
Nutrition Excessive fats, excessive sweet/caffeinated beverages or low water intake 19.2% (10) 6.7% (2) 36.4% (8)

During this meeting, the WC presented these areas of strengths and challenges. In cases where women demonstrated clinical elevations on the ASR scales, the team psychologist joined the meeting to introduce herself as a resource for psychotherapy. The WC used a motivational interviewing approach to help women set goals for their wellness based on the feedback they received, and the activities offered by the program.

Wellness Activities

All activities were free and co-located at the hospital. Prenatal offerings included individual meetings with the WC, private and group yoga sessions, nutrition groups, parenting seminars, mindfulness classes, community dinners and prenatal fitness. The WC was certified in prenatal yoga and Mindfulness Based Stress Reduction and taught all yoga and mindfulness classes. Mother-baby yoga, postnatal fitness, and a “Mom Power” parenting group (Rosenblum et al., 2018) were offered postnatally. All women were made aware that psychology and psychiatry services were available, and the WC would coordinate referrals.

Contacts

WC contacted women weekly by their method of choice, i.e., phone, text, email to advertise new activities, and to check in regarding women’s self-identified goals. In-person meetings were also offered, though women largely did not schedule recurring individual meetings.

Statistical Plan

We conducted t-tests and chi squares to compare women across insurance groups, and correlations, regressions and chi-squares to examine baseline characteristics associated with engagement. To examine outcomes we used General Linear Models (GLM) repeated measures to determine the effects of randomization on 4 and 12 month ASR internalizing and PSS scores, with respect to baseline. Then, follow up GLM analyses were repeated among women randomized to the intervention only, by engager status, to test whether for a “dose effect” of engagement on internalizing or stress scores at follow up points. A threshold for engagement status was set at three activities, based on the fact that almost half of the sample (42%) attended 2 or less. Medicaid status was controlled for in all of the GLMs, to account for the disproportionate number of MI women in the intervention group due to oversampling.

Results

Recruitment

Over the span of 18 months, the clinic throughput was estimated as 825 women who were Medicaid Insured (MI) and 1140 who were Privately Insured (PI). The enrollment target was 60 women for both MI and PI. We received interest (as indicated by a returned flyer) from 54 MI (6.5%) and 104 PI (9%). Of the women interested, 33 (4%) MI, and 60 (5.3%) PI women went on to provide consent (see Fig. 1). The most common reason interested women did not consent was a failure to schedule before 25 weeks gestation.

Illness Prevention Paradigm

Fifty-two women were randomized to the intervention group (22 MI, 30 PI). If a woman randomized to the intervention did not respond to attempts to schedule the feedback session prior to giving birth, this was considered a failure to engage. 22% of MI (5), and no PI met this criterion. Additionally, 1 MI withdrew prior to participation. Final intervention group composition was 16 MI and 30 PI. After enrolling, three women (1MI, 2PI) moved out of state, and one (PI) miscarried during the study. Their engagement is included in the following results, limited to their time in the study.

Sample Characteristics

A total of 92 women (40 controls) completed baseline surveys after consenting. The sample was representative of the overall age, race and SES served. Average gestational age at recruitment was 20.6 weeks (SD = 3.6) and average age of participant was 30.6, (18–42; SD: 5.14). At baseline, providers identified participant challenges based on standardized survey cutoffs and/or mean participant data (see Table 1). MI reported more baseline challenges (M = 3.50, SD = 1.89) than PI (M = 1.46, SD = 1.33, p < 0.001). MI were more likely to experience sleep (x(1) = 6.62, p = 0.015), stress (x(1) = 7.318, p = 0.013), trauma (x(1) = 8.276, p = 0.007), and nutrition (x(1) = 7.21, p = 0.012) challenges than PI. Exercise, partner support, drug use, and mental health domains did not significantly differ by insurance. Fifty-three percent (49 women) followed up at 12 months. They were similar in terms of baseline characteristics though more likely to have PI (x(1) = 5.90, p = 0.015).

Engagement

Of women randomized to the intervention, MI attended fewer total wellness offerings (M = 3.81, SD = 12.30) than PI (M = 12.30, SD = 11.71) (t(41.64) = 3.49, p = 0.001). Women were most likely to attend Yoga and Parenting Classes, followed by Nutrition Classes, Community Dinners, Mindfulness, and Exercise Classes. Insurance status did not determine type of program women attended. 27 women attended three or more activities and were categorized as “engagers”. Eight of those were MI. Six women participated in individual therapy and no women were referred to psychiatry as a result of this study (the study psychiatrist also worked in the clinic so had contact with study participants via obstetrician’s referrals).

PI (B = − 8.49, p = 0.008) predicted higher program attendance (R2 = 0.15, F(1,45) = 7.69, p = 0.008). Additionally, after controlling for insurance in separate models, more childhood trauma (ACES) (B = − 1.33, p = 0.038) predicted lower attendance (R2 = 0.23, F(2,45) = 6.45, p = 0.004). No other baseline characteristics influenced engagement over and above insurance. Age was associated with program attendance in opposite directions by insurance group: In MI, older women attended more programming (r(22) = 0.637, p = 0.008), however, in PI, younger women attended more programming (r(30) = − 0.613, p < 0.001).

Outcomes (Table 2)

Table 2.

Mean scores for perceived stress and internalizing at baseline and 12 month postpartum (n = 49) controlled for Medicaid

Perceived stress scores (PSS)
Internalizing raw scores (ASR)
Group Baseline M (SD) Follow up M (SD) Baseline M (SD) Follow up M (SD)
All women 12.53 (.95) 12.69 (1.04) 12.78 (1.41) 8.70 (1.08)
Randomization Control (n = 20) 11.16 (1.30) 11.42 (1.43) 12.81 (2.42) 6.15 (2.00)
VFBA (n = 29) 13.91 (1.38) 13.96 (1.52) 12.62 (2.11) 10.45 (1.74)
Intervention engagement VFBA engaged (n = 12) 16.38 (2.26)* 12.65 (2.35)* 11.95 (1.93) 10.65 (1.96)
VFBA disengaged (n = 11) 11.73 (2.15)* 15.23 (2.24)* 14.99 (2.85) 8.52 (2.89)
*

p < .05;

n included 12 MI and 37 PI

49 women completed 12 month questionnaires, (12 MI and 37 PI, 29 VFBA and 20 Controls).

There were no differences in internalizing scores across time by intervention (vs controls) or by engagers (3 + classes vs not) from baseline to 12 months postpartum, controlling for insurance status. There were no differences in perceived stress scores across time by intervention (vs controls) or by engagers from baseline to 12 months. However, women who engaged reported a significant decrease in perceived stress relative to controls from baseline to 12 months, controlling for insurance status (F(1,20) = 6.494, p = 0.019) (Fig. 2).

Fig. 2.

Fig. 2

Perceived stress score change from baseline to 12 months postpartum by engagement status

Conclusions for Practice

This study implemented a participant-centered health and illness prevention program for women seeking prenatal care. Recruitment and engagement rates were lower for women with Medicaid. Higher engagement was predicted by insurance type and lower levels of reported trauma. Compared to controls, women who were randomized to the intervention did not experience a decrease in depression or anxiety symptoms or perceived stress. However, women in the intervention who chose to engage in 3 + activities demonstrated a decrease in perceived stress from baseline to 12 months postpartum that was not seen in women who didn’t engage.

Recruitment for women with Medicaid in this study was low, even though signing consent carried virtually no risk and very low commitment beyond completing questionnaires. Our initial goal was to recruit 30 women in each of the MI and PI group but we were unable to meet this goal for the MI group over 18 months. Upon careful review of previous prevention studies, it is not unusual to see samples with predominantly medium to high socioeconomic status. A community study recruiting for a postpartum exercise intervention (Norman et al., 2010) reported a disproportionately high SES in their sample. This bias was also reported by Davis et al. (2015) and Muzik, et al (2012) in prenatal yoga trials, and by Woolhouse et al. in a prenatal mindfulness intervention (2014). There’s a public health argument that universal interventions, such as ours, may only increase the discrepancy between populations who are already thriving and more vulnerable populations who have increased barriers to participate. For this reason, Frohlich and Potvin (2008) suggest that resources may be best utilized by specifically targeting vulnerable populations.

Overall engagement in activities was lower than expected given that activities were free, co-located, and offered at women’s convenience. The most popular events were yoga and parenting groups, with just over half of the women participating. A small number (6) of women engaged in therapy, however only two women were referred based on baseline ASR internalizing score. One of the least popular offerings was individual wellness coaching visits, which we had envisioned as a cornerstone of this program. The FWC either taught or attended many of the activities, so it’s possible women preferred informal check-ins at events or through email or text, rather than separately scheduled meetings. As was the case with recruitment, insurance type clearly predicted participation. Women on Medicaid were less likely to attend the visit where feedback was given and goal setting occurred, and of those who did, they were still engaging in activities at about a third of the rate PI women were. An additional baseline characteristic associated with participation was childhood trauma, unsurprisingly, higher exposure to trauma was a barrier to participation. Prior work has linked childhood trauma to high avoidance and selfreliance, which may limit participation in health regimens (Grote et al., 2007).

We would not have expected women with higher stress at baseline to participate more than those with less stress, yet it was consistent with the aim of this study to find that engagement in these activities was associated with decreased stress during the first year. Notably, the cut off for a “clinical” rating on the perceived stress scale is 20, and our means were all well beneath that. We speculate that having moderate, but not clinically impairing, stress could motivate engagement in wellness offerings which may in turn be efficacious in dampening stress. There may be a specific window of “high, but functional stress” which is best suited for sustainable perinatal wellness promotion programs.

This study had several limitations. First, participants participation was highly variable in terms of number and type of activities attended, making it difficult to see associations between particular health promotion activities and their impact on illness prevention, particularly in such a small sample. We also had limited follow up with 49 of the 92 women filling out questionnaires at 12 months postpartum, only 12 of whom had Medicaid, further constraining our ability to draw conclusions. Finally, our overall sample was unusually well in terms of mental health compared with usual estimates, which may reflect a bias in women who indicated interest in a wellness study, or possibly that the ASR is less sensitive than other tools, such as the Edinburgh Postnatal Depression Scale, which also measures depression and anxiety. No studies have compared the two instruments. A CDC estimate of postpartum depression in the United States in 2018 was around 13% (Bauman, et al., 2020), while at baseline we had only 3.8% of women reaching the clinical cutoff for the internalizing scale. Recruiting and engaging a higher number of MI, whose risk for internalizing symptoms is higher (Ogbo et al., 2019), may have made it more likely to see a decrease. A study of collaborative depression care, which involved screening and treating women with depression early in pregnancy found higher effectiveness in women on public insurance (Katon et al., 2014).

In future iterations of VFBA studies, we aim to increase engagement in the Medicaid group by going further to address barriers to participation for at risk women, such as providing childcare and transportation. We also plan to add financial incentives for participation, as is beneficial in smoking cessation studies (Higgins et al., 2011), which would provide money to help address barriers and to provide a short-term reward to help improve the appeal of a paradigm that aims to provide long-term benefits.

Acknowledgements

This study was funded by The VCCYF Endowment through the University of Vermont; University of Vermont Health Network Medical Grant #MG182; Vermont Children’s Health Improvement Program: VCHIP.

Footnotes

Code availability NA.

Conflict of interest The authors declare that they have no conflict of interest with any of the funding sources of this research.

Ethical approval All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee. The study was approved by the University of Vermont, Institutional Review Board Approval Number: 17-0162 University of Vermont Medical Center (UVM MC) Vermont Family Based Approach Obstetrics (VFBA/OB) Pilot Study.

Informed consent Informed consent was obtained from all individual participants included in the study. Consent for publication: NA (no individual data are being published).

Availability of data and material

Available upon request.

References

  1. Achenbach TM, & Rescorla LA (2003). Manual for the ASEBA adult forms & profiles. University of Vermont, Research Center for Children, Youth, & Families. [Google Scholar]
  2. Bauman BL, Ko JY, Cox S, D’Angelo DV, Warner L, Folger S, Tevendale H, Coy K, Harrison L, Barfield W (2020) Vital Signs: Postpartum Depressive Symptoms and Provider Discussions About Perinatal Depression — United States, 2018. MMWR Morb Mortal Wkly Rep, 69, 575–581. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Bø K, Artal R, Barakat R, Brown W, Dooley M, Evenson KR, Haakstad LAH, Larsen K, Kayser B, Kinnunen TI, Mottola MF, Nygaard I, van Poppel M, Stuge B, Davies GAL, IOC Medical Commission. (2016). Exercise and pregnancy in recreational and elite athletes: 2016 evidence summary from the IOC expert group meeting, Lausanne. Part 2-the effect of exercise on the fetus, labour and birth. British Journal of Sports Medicine, 50(21), 1297–1305. [DOI] [PubMed] [Google Scholar]
  4. Cohen S, Kamarck T, & Mermelstein R (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24, 386–396. [PubMed] [Google Scholar]
  5. Cooper S, Orton S, Leonardi-Bee J, Brotherton E, Vanderbloemen L, Bowker K, Naughton F, Ussher M, Pickett KE, Sutton S, & Coleman T (2017). Smoking and quit attempts during pregnancy and postpartum: A longitudinal UK cohort. British Medical Journal Open, 7(11), e018746. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Davis K, Goodman SH, Leiferman J, Taylor M, Dimidjian S (2015). A randomized controlled trial of yoga for pregnant women with symptoms of depression and anxiety. Complementary Therapies in Clinical Practice, 21(3), 166–172. [DOI] [PubMed] [Google Scholar]
  7. der Waerden J, Bernard JY, De Agostini M, Saurel-Cubizolles MJ, Peyre H, Heude B, & Melchior M (2017). EDEN Mother-Child Cohort Study Group. Persistent maternal depressive symptoms trajectories influence children’s IQ: The EDEN mother-child cohort. Depression and Anxiety, 34(2), 105–117. [DOI] [PubMed] [Google Scholar]
  8. Epton T, Currie S, & Armitage CJ (2017). Unique effects of setting goals on behavior change: Systematic review and meta-analysis. Journal of Consulting and Clinical Psychology, 85(12), 1182–1198. [DOI] [PubMed] [Google Scholar]
  9. Frohlich KL, & Potvin L (2008). Transcending the known in public health practice: The inequality paradox: The population approach and vulnerable populations. American Journal of Public Health, 98, 216–221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Gong H, Ni C, Shen X, Wu T, & Jiang C (2015). Yoga for prenatal depression: A systematic review and meta-analysis. BMC Psychiatry, 15, 14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Grote NK, Zuckoff A, Swartz H, Bledsoe SE, & Geibel S (2007). Engaging women who are depressed and economically disadvantaged in mental health treatment. Social Work, 52(4), 295–308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Higgins ST, Washio Y, Heil SH, Solomon LJ, Gaalema DE, Higgins TM, & Bernstein IM (2011). Financial incentives for smoking cessation among pregnant and newly postpartum women. Preventive Medicine, 55(Suppl), S33–40. 10.1016/j.ypmed.2011.12.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Hudziak J, & Ivanova MY (2016). The Vermont family based approach: Family based health promotion, illness prevention, and intervention. Child and Adolescent Psychiatric Clinics of North America, 2, 167–178. [DOI] [PubMed] [Google Scholar]
  14. Ivanova MY, Dewey L, Swift P, Weinberger S, & Hudziak J (2019). Health promotion in primary care pediatrics: Initial results of a randomized clinical trial of the Vermont family based approach. Child and Adolescent Psychiatric Clinics of North America, 28(2), 237–246. [DOI] [PubMed] [Google Scholar]
  15. Junge C, Garthus-Niegel S, Slinning K, Polte C, Simonsen TB, & Eberhard-Gran M (2017). The impact of perinatal depression on children’s social-emotional development: A longitudinal study. Maternal and Child Health Journal, 21(3), 607–615. [DOI] [PubMed] [Google Scholar]
  16. Katon W, Russo J, Reed SD, Croicu CA, Ludman E, La Rocco, & Melville JL (2014). A randomized trial of collaborative depression care in obstetrics and gynecology clinics: Socioeconomic disadvantage and treatment response. The American Journal of Psychiatry, 172, 32–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Luca DL, Garlow N, Staatz C, Margiotta C, & Zivin K (2019). Societal costs of untreated perinatal mood and anxiety disorders in the United States. Mathematica Policy Research. [Google Scholar]
  18. Muzik M, Hamilton SE, Lisa Rosenblum K, Waxler E, & Hadi Z (2012). Mindfulness yoga during pregnancy for psychiatrically at-risk women: Preliminary results from a pilot feasibility study. Complementary Therapies in Clinical Practice, 18(4), 235–240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Nascimento SL, Surita FG, Godoy AC, Kasawara KT, & Morais SS (2015). Physical activity patterns and factors related to exercise during pregnancy: A cross sectional study. PLoS ONE, 10(6), e0128953. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Navarro E, Funtikova AN, Fíto M, & Schröder H (2017). Prenatal nutrition and the risk of adult obesity: Long-term effects of nutrition on epigenetic mechanisms regulating gene expression. Journal of Nutritional Biochemistry, 39, 1–14. [DOI] [PubMed] [Google Scholar]
  21. Norman E, Sherburn M, Osborne RH, Galea M (2010). An exercise and education program improves well-being of new mothers: A randomized controlled trial. Physical Therapy, 90(3), 348–355. [DOI] [PubMed] [Google Scholar]
  22. O’Connor E, Senger CA, Henninger ML, Coppola E, & Gaynes BN (2019). Interventions to prevent perinatal depression: Evidence report and systematic review for the US preventive services task force. JAMA, 321(6), 588–601. [DOI] [PubMed] [Google Scholar]
  23. Ogbo FA, Kingsley Ezeh O, Dhami MV, Naz S, Khanlari S, McKenzie A, Agho K, Page A, Ussher J, Perz J, & Eastwood J (2019). Perinatal distress and depression in culturally and linguistically diverse (CALD) Australian women: The role of psychosocial and obstetric factors. International Journal of Environmental Research and Public Health, 16(16), 2945. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Ohara M, Okada T, Aleksic B, Morikawa M, Kubota C, Nakamura Y, Shiino T, Yamauchi A, Uno Y, Murase S, Goto S, Kanai A, Masuda T, Nakatochi M, Ando M, & Ozaki N (2017). Social support helps protect against perinatal bonding failure and depression among mothers: A prospective cohort study. Science and Reports, 7(1), 9546. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Perez-Blasco J, Viguer P, & Rodrigo MF (2013). Effects of a mindfulness-based intervention on psychological distress, wellbeing, and maternal self-efficacy in breast-feeding mothers: Results of a pilot study. Archives of Women’s Mental Health, 16(3), 227–236. [DOI] [PubMed] [Google Scholar]
  26. Reck C, Zietlow AL, Müller M, & Dubber S (2016). Perceived parenting stress in the course of postpartum depression: The buffering effect of maternal bonding. Archives of Women’s Mental Health, 19(3), 473–482. [DOI] [PubMed] [Google Scholar]
  27. Rosenblum K, Lawler J, Alfafara E, Miller N, Schuster M, & Muzik M (2018). Improving maternal representations in high-risk mothers: A randomized, controlled trial of the mom power parenting intervention. Child Psychiatry and Human Development, 49(3), 372–384. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Rubak S, Sandbaek A, Lauritzen T, & Christensen B (2005). Motivational interviewing: A systematic review and meta-analysis. British Journal of General Practice, 55(513), 305–312. [PMC free article] [PubMed] [Google Scholar]
  29. Santos IS, Matijasevich A, Barros AJ, & Barros FC (2014). Antenatal and postnatal maternal mood symptoms and psychiatric disorders in pre-school children from the 2004 Pelotas Birth Cohort. Journal of Affective Disorders, 164, 112–117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Stein A, Pearson RM, Goodman SH, Rapa E, Rahman A, McCallum M, Howard LM, Pariante CM (2014). Effects of perinatal mental disorders on the fetus and child. Lancet, 384(9956), 1800–1819. [DOI] [PubMed] [Google Scholar]
  31. Surkan PJ, Kawachi I, Ryan LM, Berkman LF, Carvalho Vieira LM, & Peterson KE (2008). Maternal depressive symptoms, parenting self-efficacy, and child growth. American Journal of Public Health, 98(1), 125–132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Woolhouse H, Mercuri K, Judd F, Brown S (2014). Antenatal mindfulness intervention to reduce depression, anxiety and stress: A pilot randomised controlled trial of the MindBabyBody program in an Australian tertiary maternity hospital. BMC Pregnancy & Childbirth, 14, 369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Yonkers KA, Gotman N, Kershaw T, Forray A, Howell HB, & Rounsaville BJ (2010). Screening for prenatal substance use: Development of the Substance Use Risk Profile-Pregnancy scale. Obstetrics and Gynecology, 116(4), 827–833. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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Data Availability Statement

Available upon request.

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