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Articles 1 - 8 of 8
Full-Text Articles in Medicine and Health Sciences
Human Milk Omega-3 Fatty Acid Composition Is Associated With Infant Temperament, Jennifer Hahn-Holbrook, Adi Fish, Laura M. Glynn
Human Milk Omega-3 Fatty Acid Composition Is Associated With Infant Temperament, Jennifer Hahn-Holbrook, Adi Fish, Laura M. Glynn
Psychology Faculty Articles and Research
There is growing evidence that omega-3 (n-3) polyunsaturated fatty-acids (PUFAs) are important for the brain development in childhood and are necessary for an optimal health in adults. However, there have been no studies examining how the n-3 PUFA composition of human milk influences infant behavior or temperament. To fill this knowledge gap, 52 breastfeeding mothers provided milk samples at 3 months postpartum and completed the Infant Behavior Questionnaire (IBQ-R), a widely used parent-report measure of infant temperament. Milk was assessed for n-3 PUFAs and omega-6 (n-6) PUFAs using gas-liquid chromatography. The total fat and the ratio of n6/n-3 fatty acids …
Across Continents And Demographics, Unpredictable Maternal Signals Are Associated With Children's Cognitive Function, Elyssia Poggi Davis, Riikka Korja, Linnea Karlsson, Laura Glynn, Curt A. Sandman, Brian Vegetabile, Eeva-Leena Kataja, Saara Nolvi, Eija Sinervä, Juho Pelto, Hasse Karlsson, Hal S. Stern, Tallie Z. Baram
Across Continents And Demographics, Unpredictable Maternal Signals Are Associated With Children's Cognitive Function, Elyssia Poggi Davis, Riikka Korja, Linnea Karlsson, Laura Glynn, Curt A. Sandman, Brian Vegetabile, Eeva-Leena Kataja, Saara Nolvi, Eija Sinervä, Juho Pelto, Hasse Karlsson, Hal S. Stern, Tallie Z. Baram
Psychology Faculty Articles and Research
Background
Early life experiences have persisting influence on brain function throughout life. Maternal signals constitute a primary source of early life experiences, and their quantity and quality during sensitive developmental periods exert enduring effects on cognitive function and emotional and social behaviors. Here we examined if, in addition to established qualitative dimensions of maternal behavior during her interactions with her infant and child, patterns of maternal signals may contribute to the maturation of children's executive functions. We focused primarily on effortful control, a potent predictor of mental health outcomes later in life.
Methods
In two independent prospective cohorts in Turku, …
Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae
Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae
Psychology Faculty Articles and Research
Background
As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depression has remained challenging. Deep-learning algorithms can be applied to assess the factors leading up to prevalence and clinical manifestations of depression.
Methods
Customized deep-neural-network and machine-learning classifiers were assessed using survey data from 19,725 participants from the NHANES database (from 1999 through 2014) and 4949 from the South Korea NHANES (K-NHANES) database in 2014.
Results
A deep-learning algorithm showed area under the receiver operating characteristic curve (AUCs) …
Parameterizing And Validating Existing Algorithms For Identifying Out-Of-Bed Time Using Hip-Worn Accelerometer Data From Older Women, John Belletierre, Yiliang Zhang, Vincent Berardi, Kelsie M. Full, Jacqueline Kerr, Michael J. Lamonte, Kelly R. Evenson, Melbourne Hovell, Andrea Z. Lacroix, Chongzhi Di
Parameterizing And Validating Existing Algorithms For Identifying Out-Of-Bed Time Using Hip-Worn Accelerometer Data From Older Women, John Belletierre, Yiliang Zhang, Vincent Berardi, Kelsie M. Full, Jacqueline Kerr, Michael J. Lamonte, Kelly R. Evenson, Melbourne Hovell, Andrea Z. Lacroix, Chongzhi Di
Psychology Faculty Articles and Research
Objective: To parameterize and validate two existing algorithms for identifying out-of-bed time using 24-hour hip-worn accelerometer data from older women. Approach: Overall, 628 women (80±6 years old) wore ActiGraph GT3X+ accelerometers 24 hours/day for up to 7 days and concurrently completed sleep-logs. Trained staff used a validated visual analysis protocol to measure in-bed periods on accelerometer tracings (criterion). The Tracy and McVeigh algorithms were adapted for optimal use in older adults. A training set of 314 women was used to choose two key thresholds by maximizing the sum of sensitivity and specificity for each algorithm and data (vertical axis, VA, …
Changing Healthcare Provider And Parent Behaviors In The Pediatric Post‐Anesthesia‐Care‐Unit To Reduce Child Pain: Nurse And Parent Training In Postoperative Stress (Np‐Tips), Brooke N. Jenkins, Michelle Fortier, Robert S. Stevenson, Mai Makhlouf, Paulina Lim, Remy Converse, Zeev N. Kain
Changing Healthcare Provider And Parent Behaviors In The Pediatric Post‐Anesthesia‐Care‐Unit To Reduce Child Pain: Nurse And Parent Training In Postoperative Stress (Np‐Tips), Brooke N. Jenkins, Michelle Fortier, Robert S. Stevenson, Mai Makhlouf, Paulina Lim, Remy Converse, Zeev N. Kain
Psychology Faculty Articles and Research
Background
Children who undergo surgery experience significant pain in the post anesthesia care unit. Nurse and parent behaviors in the post anesthesia care unit directly impact child postoperative pain. Therefore, we have developed and evaluated (Phase 1) and then tested (Phase 2) the feasibility of a new intervention (Nurse and Parent Training in Postoperative Stress) to alter parent and nurse behaviors in a way consistent with reducing child postoperative pain.
Methods
In Phase 1, a multidisciplinary team of experts (physicians, nurses, and psychologists) developed an empirically‐based intervention which was then evaluated by experienced nurses (N = 8) and parents …
Delay Discount Rate Moderates A Physical Activity Intervention Testing Immediate Rewards, Christine B. Phillips, Jane C. Hurley, Siddhartha S. Angadi, Michael Todd, Vincent Berardi, Melbourne Hovell, Marc A. Adams
Delay Discount Rate Moderates A Physical Activity Intervention Testing Immediate Rewards, Christine B. Phillips, Jane C. Hurley, Siddhartha S. Angadi, Michael Todd, Vincent Berardi, Melbourne Hovell, Marc A. Adams
Psychology Faculty Articles and Research
Financial incentives can increase physical activity (PA), but differences in the immediacy of reward delivery and individual differences in delay discount rates (i.e., higher discount values associated with less tolerance for delayed rewards) may explain differential responding. The current study tested whether delay discount rate moderated the relative effectiveness of immediate financial rewards on increasing daily PA. Inactive, overweight adults (ages 18–60, N = 96) were randomized to receive either smaller, immediate goal-contingent rewards or larger, delayed rewards for participation. Delay discount rates were derived for those who completed the Monetary Choice Questionnaire (N = 85). Linear mixed models tested …
Oxytocin Receptor Gene (Oxtr) And Father Support Interact To Predict Depressive Symptoms Postpartum, Parambir Bhatti, Taylor Delaney, Michael Poulin, Jennifer Hahn-Holbrook
Oxytocin Receptor Gene (Oxtr) And Father Support Interact To Predict Depressive Symptoms Postpartum, Parambir Bhatti, Taylor Delaney, Michael Poulin, Jennifer Hahn-Holbrook
Psychology Faculty Articles and Research
Postpartum depression (PPD) is a debilitating mental illness affecting approximately 13% of mothers after birth. Both genetic and psychosocial factors contribute to PPD risk, but very little is known about how these factors interact. We tested whether the rs53576 polymorphism in the oxytocin receptor (OXTR) gene accounts for variation in the impact of low social support as a risk factor for depression among mothers during the perinatal period. New mothers (N = 220) provided saliva or blood DNA samples and completed surveys assessing PPD symptoms and perceived social support. In a significant interaction, social support from the …
The Influence Of Unpredictable, Fragmented Parental Signals On The Developing Brain, Laura M. Glynn, Tallie Z. Baram
The Influence Of Unpredictable, Fragmented Parental Signals On The Developing Brain, Laura M. Glynn, Tallie Z. Baram
Psychology Faculty Articles and Research
Mental illnesses originate early in life, governed by environmental and genetic factors. Because parents are a dominant source of signals to the developing child, parental signals - beginning with maternal signals in utero - are primary contributors to children’s mental health. Existing literature on maternal signals has focused almost exclusively on their quality and valence (e.g. maternal depression, sensitivity). Here we identify a novel dimension of maternal signals: their patterns and especially their predictability/unpredictability, as an important determinant of children’s neurodevelopment. We find that unpredictable maternal mood and behavior presage risk for child and adolescent psychopathology. In experimental models, fragmented/unpredictable …