The dual burden of malnutrition in the United States and the role of non-profit organizations

Disparities in Place of Death Among Malnourished Individuals in the United States

BACKGROUND

Deficiencies or imbalances in a person's intake of nutrients are referred to as malnutrition. Malnutrition remains a significant public health concern in the United States, with potential consequences ranging from chronic disease to mortality. This study aims to assess the disparities in place of death due to malnutrition in the United States from 1999 to 2020, based on variables like age, gender, race, and location, utilizing the Centers for Disease Control and Prevention Information and Communication Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database.

METHODOLOGY

Data regarding mortality due to malnutrition was extracted for the years 1999-2020 from the CDC WONDER database. Univariate regression analysis was performed to investigate disparities in the place of death based on variables.

RESULTS

Between 1999 and 2020, a total of 1,03,962 malnutrition-related deaths were recorded, with 31,023 in home and hospice care, 68,173 in medical and nursing facilities, and 4,766 in other places. The odds of death due to malnutrition at home or hospice were highest for the 85+ age group, female gender, census region 4 (West), and Asian or Pacific Islander race.

CONCLUSIONS

This study reveals a rising trend in mortality due to malnutrition in the United States, especially among certain demographic groups and in medical facilities and nursing homes. It emphasizes the need to understand the factors contributing to this increase in mortality rates. Future research should focus on these contributors to combat the rising burden of malnutrition-related mortality in the United States.

Food consumption habits, gestational age and birth weight are predictive for children with excess weight: An analysis based on artificial neural network

The relationship between body weight gain and the onset of obesity is linked to environmental and behavioral factors, and may be dependent on biological predisposing. Artificial neural networks are useful predictive tools in the field of artificial intelligence, and can be used to identify risk factors related to obesity. The aim of this study is to establish, based on artificial neural networks, a predictive model for overweight/obesity in children based on the recognition and selection of patterns associated with birth weight, gestational age, height deficit, food consumption, and the physical activity level, TV time and family context. Sample consisted of 149 children (72 = eutrophic and 77 = overweight/obese). Collected data consisted of anthropometry and demographic characteristics, gestational age, birth weight, food consumption, physical activity level, TV time and family context. The gestational age, daily caloric intake and birth weight were the main determinants of the later appearance of overweight and obesity. In addition, the family context linked to socioeconomic factors, such as the number of residents in the household, had a great impact on excess weight. The physical activity level was the least important variable. Modifiable risk factors, such as the inadequate food consumption, and non-modifiable factors such as gestational age were the main determinants for overweight/obesity in children. Our data indicate that, combating excess weight should also be carried out from a social and preventive perspective during critical periods of development, such as pregnancy, lactation and early childhood, to reach a more effective strategy to combat obesity and its complications in childhood and adult life.

Factors associated with the double burden of malnutrition at the household level: A scoping review

The double burden of malnutrition (DBM) at the household level has been defined as the coexistence of underweight children and overweight mothers within the same household. The objective of the scoping review was to identify and understand factors associated with DBM. We conducted the scoping review of published, peer-reviewed journal articles in two major databases used in public health research (PubMed and Web of Science). A total of 70 articles met the eligibility criteria. The following factors were identified: mother's age, height, educational level, occupation, food intake, breastfeeding, family income, family size, and urbanization type. Overall, results were heterogeneous. Two scenarios have been identified. The first scenario is those obese women with a job, having a sufficient income, a high educational level, the ability to purchase food, and live either in rural or urban areas. The second scenario is obese women without a job, having an insufficient income, a low educational level, without the ability to purchase food, and live either in rural or urban areas. The DBM at the household level is a complex public health problem. There is a need for target-specific interventions to address child undernutrition and maternal overweight/obesity simultaneously.

Prevalence and characteristics of starvation-related malnutrition in a mid-Atlantic healthcare system: A cohort study

BACKGROUND

Malnutrition in the hospital negatively impacts outcomes, including readmissions, mortality, and cost. Starvation-related malnutrition (SRM) is a state of chronic undernutrition with little to no inflammation. Research on SRM within the hospital setting is lacking. Our objective was to determine the prevalence and characteristics of malnutrition within the hospital, focusing on characteristics associated with readmissions in those with SRM.

METHODS

We conducted a retrospective cohort study analyzing characteristics of adult in patients with acute disease-related malnutrition (ADM) and chronic disease-related malnutrition (CDM) compared with patients with SRM. Prevalence of all malnutrition types was calculated as the total number of malnourished patients divided by the total number of hospital discharges. Analysis of variance with Tukey post hoc analysis was performed to determine differences between characteristics of patients with SRM and other forms of malnutrition.

RESULTS

Total prevalence of malnutrition was 2.8%. Of malnourished patients, 17.6%, 79.9%, and 2.5% had ADM, CDM, and SRM, respectively. Patients with SRM had lower body mass index (BMI) (P < .001) and higher rates of readmission (P = 0.046), infectious disease (P < .001), psychiatric disease (P < .001), and substance abuse (P < .001) than patients with ADM or CDM. Readmitted patients with SRM had lower BMI and higher rates of infection and drug abuse than those without readmission.

CONCLUSION

The high incidence of comorbid substance abuse and mental illness in patients with SRM provide important targets for treatment that might reduce readmission and improve outcomes.

Systemic alterations play a dominant role in epigenetic predisposition to breast cancer in offspring of obese fathers and is transmitted to a second generation

We previously showed that environmentally-induced epigenetic inheritance of cancer occurs in rodent models. For instance, we reported that paternal consumption of an obesity-inducing diet (OID) increased breast cancer susceptibility in the offspring (F1). Nevertheless, it is still unclear whether programming of breast cancer in daughters is due to systemic alterations or mammary epithelium-specific factors and whether the breast cancer predisposition in F1 progeny can be transmitted to subsequent generations. In this study, we show that mammary glands from F1 control (CO) female offspring exhibit enhanced growth when transplanted into OID females compared to CO mammary glands transplanted into CO females. Similarly, carcinogen-induced mammary tumors from F1 CO female offspring transplanted into OID females has a higher proliferation/apoptosis rate. Further, we show that granddaughters (F2) from the OID grand-paternal germline have accelerated tumor growth compared to CO granddaughters. This between-generation transmission of cancer predisposition is associated with changes in sperm tRNA fragments in OID males. Our findings indicate that systemic and mammary stromal alterations are significant contributors to programming of mammary development and likely cancer predisposition in OID daughters. Our data also show that breast cancer predisposition is transmitted to subsequent generations and may explain some familial cancers, if confirmed in humans.

Nutrition education in medical school: the case of international medical students in China

OBJECTIVE

To assess the knowledge on country-specific nutrition situation, perceptions of the nutrition curricula and factors influencing capacity to offer nutrition guidance among medical students studying internationally in China compared with their home-country counterparts.

DESIGN

Cross-sectional study.

SETTINGS

China, Ghana, India and Montenegro.

PARTICIPANTS

International medical students in China and medical students studying in their home countries of Ghana, India and Montenegro.

MAIN MEASURE

An online semistructured questionnaire was administered using WeChat for international students and Microsoft Forms for home-country medical students to assess students' perceived knowledge and significance of nutrition, knowledge of country-specific nutrition situation, perceptions of the nutrition curricula and perceived capacity to offer nutrition counselling.

RESULT

In all, 190 medical students responded to the survey: 110 international students studying in China and 80 home-country students from Ghana (40), India (20) and Montenegro (20). Home-country students rated the importance of nutrition in health and disease development higher than international students (p<0.05). International students reported not having any specific nutrition courses while home-country students had nutrition courses as part of their curriculum. Only 8.2% of international students and 13.8% of home-country students were able to correctly mention any specific national nutrition guidelines of their home countries. Home-country students were more likely to provide correct nutrition recommendations for infants (χ²(3)=26.349; p=0.001), pregnancy (χ²(3)=9.793; p=0.007), lactating mothers (χ²(3)=9.112; p=0.011), diabetes (χ²(3)=13.619; p=0.001), hypertension (χ²(3)=12.022; p=0.002), overweight/obesity (χ²(3)=8.896; p=0.012) and undernutrition (χ²(3)=7.670; p=0.022) compared with international students. Practical nutrition courses, hours of nutrition education and how often students were asked nutrition-related questions tended to affect and predict the adequacy of nutrition education received and the perceived confidence for nutrition counselling.

CONCLUSION

International medical students in China are less familiar with the nutrition context in their respective home countries compared with their home-country counterparts. Medical schools in China that train significant numbers of international students need to support these students to become familiar with their respective countries' nutrition contexts.

Strategies for Improving Nutrition in Inner-City Populations

PURPOSE OF REVIEW

The social, economic, cultural, and historic reasons for why inner-city communities have struggled with poor nutrition and health outcomes are complex. Creating successful programs to address these problems requires a better understanding of the gaps that exist and formulating solutions to improve access to nutritious food options.

RECENT FINDINGS

Studies have demonstrated that aggressive evidence-based nutrition can decrease factors linked to cardiovascular diseases, but improving access to these nutritious resources and prioritizing health literacy and behavior modification related to meal choices are just as essential. Government programs and community interventions have shown promise through creating supermarkets, farmers' markets, and community gardens, but not all inner-city areas have such programs in place. The poor state of inner-city nutrition and health is a true public health crisis. Creation of innovative strategies to improve education on and sustainable access to nutritious foods is essential in order to improve health disparities and outcomes.

Evaluation of malnutrition via modified GLIM criteria for in patients undergoing emergent gastrointestinal surgery

BACKGROUND

Malnutrition remains a critical public health issue in the US, particularly in surgery where perioperative malnutrition is commonly underdiagnosed and undertreated. In 2016, the Global Leadership Initiative on Malnutrition (GLIM) proposed a set of consensus criteria for the diagnosis of malnutrition. Our project aims to assess the post-operative outcomes of patients meeting a modified GLIM-defined (mGLIM) malnutrition criteria undergoing emergent gastrointestinal surgery (EGS) in the NSQIP database. Current GLIM-criteria were modified with addition of admission albumin (a NSQIP-defined malnutrition variable).

METHODS

Adapting NSQIP data, mGLIM criteria are (1) BMI of ≤20 for age ≤ 70 and BMI ≤22 for age ≥ 71, (2) weight loss > 10% within the past 6 months, (3) admission albumin ≤ 3.5, and (4) emergent bowel surgery as etiologic criteria of acute disease/injury. All patients undergoing emergent small bowel, colon, and rectal procedures were extracted from the NSQIP database and included in the study. Multivariate linear and logistic regression models controlling for relevant covariates were developed to evaluate mGLIM criteria on length of stay (LOS), mortality, and overall complication rates.

RESULTS

We included 31,029 patients who underwent emergent bowel surgeries from years 2011-2016. Demographically, 53.6% (n = 16,622) were female, 13.0% (n = 4023) were African American, and 78.3% (n = 24,292) were Caucasian. Case composition included 71.5% colon operations, 28.0% small bowel, and 0.5% rectal cases. Overall, 1.7% (n = 517) had data necessary to qualify as malnourished as per mGLIM. Controlling for covariates, multivariate linear and logistic regression analyses show that these patients have significantly higher mortality for both colon (p < 0.001, CI 1.55 | 2.61) and small bowel (p = 0.022, CI 1.08 | 2.67) procedures, longer LOS for colon (p < 0.001, CI 1.93 | 4.33) operations, and higher post-operative complications for both colon (p < 0.001, CI 1.61 | 2.62) and small bowel (p < 0.001, CI 1.57 | 3.37) cases.

CONCLUSION

This analysis shows that mGLIM criteria malnutrition is associated with poor clinical outcomes following EGS affecting LOS and mortality. Our data indicates the new mGLIM criteria can be a powerful and simple predictive score for malnutrition that can be used to predict malnutrition-related risk of poor outcomes after EGS.