scholarly journals Food insecurity and mental health: an analysis of routine primary care data of pregnant women in the Born in Bradford cohort

2016 ◽  
Vol 71 (4) ◽  
pp. 324-328 ◽  
Author(s):  
Madeleine Power ◽  
Eleonora Uphoff ◽  
Brian Kelly ◽  
Kate E Pickett
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Food Insecurity ◽  
Pregnant Women ◽  
Primary Care Data ◽  
Born In Bradford

A Proof of Concept for Assessing Emergency Room Use with Primary Care Data and Natural Language Processing

2013 ◽  
Vol 52 (01) ◽  
pp. 33-42 ◽  
Author(s):  
M.-H. Kuo ◽  
P. Gooch ◽  
J. St-Maurice
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Natural Language Processing ◽  
Natural Language ◽  
Emergency Room ◽  
Language Processing ◽  
Free Text ◽  
Proof Of Concept ◽  
Term Extraction ◽  
Primary Care Data

SummaryObjective: The objective of this study was to undertake a proof of concept that demonstrated the use of primary care data and natural language processing and term extraction to assess emergency room use. The study extracted biopsychosocial concepts from primary care free text and related them to inappropriate emergency room use through the use of odds ratios.Methods: De-identified free text notes were extracted from a primary care clinic in Guelph, Ontario and analyzed with a software toolkit that incorporated General Architecture for Text Engineering (GATE) and MetaMap components for natural language processing and term extraction.Results: Over 10 million concepts were extracted from 13,836 patient records. Codes found in at least 1% percent of the sample were regressed against inappropriate emergency room use. 77 codes fell within the realm of biopsychosocial, were very statistically significant (p < 0.001) and had an OR > 2.0. Thematically, these codes involved mental health and pain related concepts.Conclusions: Analyzed thematically, mental health issues and pain are important themes; we have concluded that pain and mental health problems are primary drivers for inappropriate emergency room use. Age and sex were not significant. This proof of concept demonstrates the feasibly of combining natural language processing and primary care data to analyze a system use question. As a first work it supports further research and could be applied to investigate other, more complex problems.

scholarly journals Association of Household Food Insecurity with Nutritional Status and Mental Health of Pregnant Women in Rural Bangladesh

Nutrients ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 4303
Author(s):  
S. M. Tafsir Hasan ◽  
Daluwar Hossain ◽  
Faysal Ahmed ◽  
Md Alfazal Khan ◽  
Ferdousi Begum ◽  
...  
Keyword(s):  
Mental Health ◽  
Nutritional Status ◽  
Food Insecurity ◽  
Pregnant Women ◽  
Women’S Health ◽  
Women's Health ◽  
Household Food Insecurity ◽  
Household Food ◽  
Independent Association ◽  
Environmental Shocks

Food insecurity may affect women’s health; however, pertinent research is scant among pregnant women. This study investigated the association of household food insecurity (HFI) with the nutritional status and mental health of 672 early-gestation (5–16 weeks) pregnant women with a singleton fetus, who participated in the screening activity of a community-based trial (NCT04868669) in Matlab, Bangladesh. Height (cm), weight (kg), body mass index (kg/m2), mid-upper arm circumference (MUAC) (cm), depression, anxiety, and stress were the outcomes studied. HFI was assessed using the Household Food Insecurity Access Scale. Women’s depression, anxiety, and stress were assessed using the Depression, Anxiety, and Stress Scales-21. Propensity score matching based weighted multivariable linear and logistic regression were used to evaluate the independent association of HFI with the outcomes. In adjusted models, pregnant women from food-insecure households in rural Matlab were on average 2.0 cm shorter (β = −2.0, 95% CI: −3.3, −0.7), 2.0 kg lighter (β = −2.0, 95% CI: −3.4, −0.7), and had 0.6 cm lower MUAC (β = −0.6, 95% CI: −1.1, −0.1) than their food-secure counterparts. HFI was associated with higher odds of depression (OR = 3.3, 95% CI: 1.8, 5.9), anxiety (OR = 6.1, 95% CI: 3.7, 10.0), and stress (OR = 4.8, 95% CI: 1.6, 14.2) among the women. Public health measures should focus on ensuring proper nutrition during the critical growth periods of life, pregnancy, and external environmental shocks, to mitigate the adverse effects of HFI on women’s health.

scholarly journals Domestic violence, food insecurity and mental health of pregnant women in the COVID-19 lockdown in Cape Town, South Africa

2020 ◽  
Author(s):  
Zulfa Abrahams ◽  
Sonet Boisits ◽  
Marguerite Schneider ◽  
Martin Prince ◽  
Crick Lund
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
South Africa ◽  
Psychological Distress ◽  
Food Insecurity ◽  
Pregnant Women ◽  
Poisson Regression ◽  
Common Mental Disorders ◽  
Cape Town ◽  
Perinatal Women

Abstract Introduction Common mental disorders (CMD) such as depression and anxiety are associated with low household income, food insecurity and intimate partner violence in perinatal women. The national COVID-19 lockdown in South Africa resulted in increased levels of poverty and food insecurity. We aimed to explore the relationship between CMDs, food insecurity and experiences of violence among pregnant women during the COVID-19 lockdown.Methods Perinatal women, attending 14 healthcare facilities in Cape Town, were enrolled in the study during baseline data collection before the COVID-19 lockdown. During the lockdown period, fieldworkers telephonically contacted the perinatal women who were enrolled in the study and had provided contact details. The following data was collected from those who consented to the study: socio-demographic information, mental health assessment, food insecurity status and experiences of abuse. Poisson regression was used to model the associations of a number of risk factors with the occurrence of CMDs.Results Of the 2149 women enrolled in the ASSET study, 885 consented to the telephonic interviews. We found that 12.5% of women had probable CMDs and 43% were severely food insecure. Psychological distress increased significantly during the lockdown period, compared to before the COVID-19 outbreak. The strength of the association between key risk factors measured during the lockdown and psychological distress increased during the COVID-19 lockdown. Using multivariate Poisson regression modelling, we showed that the risk of CMDs was almost three times more likely in women who were severely food insecure or who experienced psychological or sexual abuse. Conclusions This study provides evidence of the effect of the COVID-19 lockdown on the mental health status of perinatal women living in low resource settings in Cape Town, and highlights how a crisis such as the COVID-19 lockdown amplifies the psycho-social risk factors associated with CMDs in perinatal women.

scholarly journals Mental Health and Psychosocial Needs of Patients Being Treated for Opioid Use Disorder in a Primary Care Residency Clinic

2020 ◽  
Vol 11 ◽  
pp. 215013272093201 ◽  
Author(s):  
Stephanie A. Hooker ◽  
Michelle D. Sherman ◽  
Mary Lonergan-Cullum ◽  
Adam Sattler ◽  
Bruce S. Liese ◽  
...  
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Substance Use ◽  
Food Insecurity ◽  
Primary Care Providers ◽  
Opioid Use Disorder ◽  
Treatment Retention ◽  
Psychosocial Needs ◽  
Opioid Use ◽  
Psychosocial Concerns

Purpose: Primary care is an ideal setting to deliver efficacious treatments for opioid use disorder (OUD). Primary care providers need to be aware of other concerns patients with OUD might have in order to provide comprehensive care. This study describes the prevalence of mental health, comorbid substance use, and psychosocial concerns of patients seeking treatment for OUD in primary care and their relation to 6-month treatment retention. Methods: Patients (N = 100; M age = 34.9 years (SD = 10.8), 74% white, 46% female) with OUD who were starting treatment with buprenorphine at an academic family medicine residency clinic completed surveys of mental health concerns (depression, anxiety, trauma), psychosocial needs (food insecurity, income, transportation, employment), and demographic variables. Chart reviews were conducted to gather information on comorbid substance use, mental health diagnoses, and 6-month treatment retention. Results: Mental health symptoms were highly prevalent in this sample (44% screened positive for anxiety, 31% for depression, and 52% for posttraumatic stress disorder). Three-quarters reported use of illicit substances other than opioids. Many patients also had significant psychosocial concerns, including unemployment (54%), low income (75%), food insecurity (51%), and lacking reliable transportation (64%). Two-thirds (67%) of the sample were retained at 6 months; patients who previously used intravenous opioids were more likely to discontinue treatment ( P = .003). Conclusions: Many patients receiving treatment for OUD have significant mental health problems, comorbid substance use, and psychosocial concerns; interestingly, none of these factors predicted treatment retention at 6 months. Primary care clinics would benefit from having appropriate resources, interventions, and referrals for these comorbid issues in order to enhance overall patient well-being and promote recovery.

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