2018
DOI: 10.1007/s40614-018-0143-z
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Maternal Behavioral Health: Fertile Ground for Behavior Analysis

Abstract: The World Health Organization has identified four behavioral health priorities as risk factors for noncommunicable diseases in maternal populations: tobacco use, harmful alcohol use, poor nutrition, and lack of physical activity. These risk factors also significantly affect pregnant and immediately postpartum mothers, doubling the health risk and economic burden by adversely affecting maternal and birth or infant outcomes. Psychosocial and behavioral interventions are ideal for pregnant and immediately postpar… Show more

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Cited by 4 publications
(4 citation statements)
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“…We would be remiss in our analysis of behavioral science and the prevention of substance use if we did not comment on the use of self-report measures in much of the existing prevention science research. Along with others in the field, we find that rigid definitions of what counts as "behavior analysis" have either (1) impeded research on many problems of great social importance or (2) have driven people out of the behavior analysis community who were willing to work on these problems (Critchfield & Reed, 2017;Friman, 2017;Hantula, 2018;Killeen & Jacobs, 2017;Washio & Humphreys, 2018).…”
Section: Measurement Issues In Behavioral Sciencementioning
confidence: 77%
“…We would be remiss in our analysis of behavioral science and the prevention of substance use if we did not comment on the use of self-report measures in much of the existing prevention science research. Along with others in the field, we find that rigid definitions of what counts as "behavior analysis" have either (1) impeded research on many problems of great social importance or (2) have driven people out of the behavior analysis community who were willing to work on these problems (Critchfield & Reed, 2017;Friman, 2017;Hantula, 2018;Killeen & Jacobs, 2017;Washio & Humphreys, 2018).…”
Section: Measurement Issues In Behavioral Sciencementioning
confidence: 77%
“…Daffodil International University, Dhaka, Bangladesh is the original source of this dataset. Original data has been collected from different hospitals, community clinics, maternal health cares from the rural areas of Bangladesh through the IoT (Internet of Things) based risk monitoring system in 2020 [9].…”
Section: Datasetmentioning
confidence: 99%
“…This is because to the combination of data mining and sophisticated machine learning. Additionally, low-income nations struggle with conventional attitudes and practices, inadequate healthcare, and a lack of knowledge [9].…”
Section: Introductionmentioning
confidence: 99%
“…). The recent pages of PoBS are filled with articles taking on topics under the dome such as incarceration(Apel and Diller 2017), consumer behavior(Foxall 2017), higher education(Brodsky and Fienup 2018), progressive political movements(Mattaini and Aspholm 2016), narrative (Hineline 2018), leadership(Houmanfar and Mattaini 2016), the "replication crisis"(Laraway et al 2019), connectionist models of human and computer learning(Ninness et al 2018), healthy eating(Rafacz 2019;Sigurdsson et al 2017), poverty(Silverman et al 2019), conditioning plants (Adelman 2018), understanding concepts(Layng 2019), flirtation(Wade 2018), and maternal health(Washio and Humphreys 2018).…”
mentioning
confidence: 99%