Substance Use and Preconception Care: A Review of the Literature

Ricks, Nila; Comer, Louise; Liu, Fuqin; DeGrande, Heather; Adeniran, Olusola

doi:10.15296/ijwhr.2017.02

Cited by 5 publications

(4 citation statements)

References 62 publications

(108 reference statements)

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“…This finding was supported by studies from the Manna district, Ethiopia, which pointed out the association between common non-communicable diseases and antenatal care visits [ 11 , 25 ]. This finding was also supported by a study from the USA [ 42 ]. This implies that increasing women’s awareness about the need of avoiding or cessations of substance use, screening for common communicable and infectious diseases, and their readiness for conception helps to increase their chance of getting subsequent services such as the practice of preconception care, antenatal care, skilled delivery and postnatal care [ 12 ].…”

Section: Discussionsupporting

confidence: 83%

Development and validation of preconception care improvement scale (PCIS) in a resource-limited setting

Teshome

Birhanu

Kebede

2022

BMC Pregnancy Childbirth

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Background Preconception care helps to close the gaps in a continuum of care. It is of paramount importance to reduce maternal and child adverse pregnancy outcomes, increase the utilization of services such as antenatal care, skilled delivery care, and post-natal care, and improve the lives of future generations. Therefore, a validated instrument is required. The purpose of this study was to develop and validate the preconception care improvement scale (PCIS) in a resource-limited setting. Methods A mixed-method study was carried out from 02, March to 10, April 2019 in Manna district, Oromia region, Ethiopia to test the reliability and validity of the scale. Items were generated from literatures review, in-depth interviews with different individuals, and focused group discussions with women of reproductive age groups. A pretested structured questionnaire was used and a survey was conducted among 623 pregnant women in the district. The collected data were entered into EPI-data version 3.1 software and exported to SPSS version 23 software and data were analyzed for internal consistency and validity using reliability analysis and factor analysis. Results The PCIS has 17 items loaded into six factors: Substance-related behaviors, screening for common non-communicable and infectious diseases, micronutrient supplementation and vaccination, seeking advice, decision and readiness for conception, and screening for sexually transmitted diseases. Factor analysis accounted for 67.51% of the observed variance. The internal consistency (Cronbach’s alpha) of the scale was 0.776. Diversified participants of the qualitative study and experts’ discussions assured the face and content validity of the scale. Factor loading indicated the convergent validity of the scale. Three of the PCIS subscale scores had a positive and significant association with the practice of preconception care and antenatal care visits, which confirmed the predictive validity of the scale. Conclusion The PCIS exhibited good reliability, face validity, content validity, convergent validity, and predictive validity. Thus, the scale is valid and helps to improve preconception care, especially in resource-limited settings.

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Section: Discussionsupporting

confidence: 83%

Development and validation of preconception care improvement scale (PCIS) in a resource-limited setting

Teshome

Birhanu

Kebede

2022

BMC Pregnancy Childbirth

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“…Thirty-five articles 16 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 were excluded with reasons from the review. Reasons for exclusion from the review included: not a systematic review ( n = 16), 16 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 exposure not defined or reported as occurring during the preconception timeframe ( n = 11), 45 46 47 48 49 50 51 52 53 55 64 not eligible exposures (e.g., not modifiable) ( n = 3), 37 57 63 ineligible study design ( n = 2), 58 59 conference abstract ( n = 1), 60 irrelevant outcomes ( n = 1), 61…”

Section: Resultsmentioning

confidence: 99%

“…Thirty-five articles 16, were excluded with reasons from the review. Reasons for exclusion from the review included: not a systematic review (n ¼ 16), 16,[30][31][32][33][34][35][36][37][38][39][40][41][42][43][44] exposure not defined or reported as occurring during the preconception timeframe (n ¼ 11), [45][46][47][48][49][50][51][52][53]55,64 not eligible exposures (e.g., not modifiable) (n ¼ 3), 37,57,63 ineligible study design (n ¼ 2), 58,59 conference abstract (n ¼ 1), 60 irrelevant outcomes (n ¼ 1), 61 and not the relevant study population (n ¼ 1). 62 A total of 27 systematic reviews were included (►Fig.…”

Section: Resultsmentioning

confidence: 99%

Relationships between Women's and Men's Modifiable Preconception Risks and Health Behaviors and Maternal and Offspring Health Outcomes: An Umbrella Review

Caut¹,

Schoenaker

McIntyre

et al. 2022

Semin Reprod Med

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Parental health before conception effects maternal and offspring health outcomes. Preconception care provides healthcare to prospective parents addressing modifiable preconception risks and health behaviors. This umbrella review aimed to consolidate evidence on women's and men's modifiable preconception risks or health behaviors associated with maternal and offspring health outcomes. MEDLINE, EMBASE, Maternity and Infant Care, CINAHL, and PsycINFO were searched from March 4, 2010, to March 4, 2020. Eligible studies were systematic reviews or meta-analyses of observational studies examining associations between modifiable preconception risks or health behaviors and maternal and offspring health outcomes. Screening, data extraction, and methodological quality assessment (AMSTAR 2) occurred independently by two reviewers. Degree of overlap was examined. Findings were summarized for evidence synthesis. Twenty-seven systematic reviews were included. Modifiable preconception risks and health behaviors were identified across categories: body composition (e.g., overweight, obesity), lifestyle behaviors (e.g., caffeine, smoking), nutrition (e.g., micronutrients), environmental exposures (e.g., radiation), and birth spacing (e.g., short interpregnancy intervals). Outcomes associated with exposures affected embryo (e.g., embryonic growth), maternal (e.g., gestational diabetes mellitus), fetal/neonate (e.g., preterm birth), and child (e.g., neurocognitive disorders) health. For real-world practice and policy relevance, evidence-based indicators for preconception care should include body composition, lifestyle, nutrition, environmental, and birth spacing.

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“…Relatedly, potential risks associated with poor pregnancy outcomes are more likely to arise in women who are unaware of these risks or their consequences and are often unprepared for pregnancy. Therefore, when made readily accessible, preconception health services can serve as a protective factor by providing pregnant women with adequate health services before their babies enter crucial stages of development [22].…”

Section: Introductionmentioning

confidence: 99%

Preconception Maternal Mentoring for Improved Fetal Growth among Indonesian Women: Results from a Cluster Randomized Controlled Trial

Hadi,

Nurunniyah,

Gittelsohn

et al. 2023

Nutrients

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The prevalence of stunting in young children is associated with poor growth during the prenatal and early postnatal periods. A maternal mentoring program was developed for Indonesian women to improve birth outcomes. A cluster-randomized controlled trial (CRCT) was conducted in three sub-districts of the Special Region of Yogyakarta, Indonesia. A total of 384 eligible participants were randomly allocated to either an intervention (received the maternal mentoring program and standard care; n = 189) or control (received standard care only; n = 195) group. The maternal mentoring program provided preconception health education; health monitoring; and text message reminders for preconception women. Fetal growth was measured between gestational weeks 27 and 30 using the estimated fetal weight generated from ultrasonographic measurements. Birth weight was measured within 24 h of birth. A structured questionnaire captured women’s demographics, pregnancy readiness, and body mass indexes (BMIs). After adjustment, fetal weight was 14% (95% CI: 5.1–23.0) higher in the intervention group than in the control group, and the average weight-for-length Z-score at birth was 0.16 (95% CI: 0.04–0.30) higher in the intervention group than in the control group. The maternal mentoring program was associated with improved fetal growth and birth weight in this population and should be considered for scale-up to other settings, nationally and globally.

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Substance Use and Preconception Care: A Review of the Literature

Cited by 5 publications

References 62 publications

Development and validation of preconception care improvement scale (PCIS) in a resource-limited setting

Development and validation of preconception care improvement scale (PCIS) in a resource-limited setting

Relationships between Women's and Men's Modifiable Preconception Risks and Health Behaviors and Maternal and Offspring Health Outcomes: An Umbrella Review

Preconception Maternal Mentoring for Improved Fetal Growth among Indonesian Women: Results from a Cluster Randomized Controlled Trial

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