Publications

Abstract

OBJECTIVE: To investigate how cognitive function domains change in phenotypic networks in cognitive deterioration and improvement groups.DESIGN: Secondary data analysis.SETTING AND PARTICIPANTS: Respondents in the Aging, Demographics, and Memory Study (ADAMS) who were 70 years or older at the time of the data collection in 2000 or 2002.METHODS: This study used data from the ADAMS in Wave A and Wave B. We assessed 12 cognitive function domains. Latent profile transition analysis (LPTA) and the cross-lagged panel network model were used to the dynamic interactions of the 12 cognitive function domains over time in both the deterioration and improvement groups.RESULTS: A total of 252 participants were included in the final analysis. LPTA identified 5 subgroups and categorized all samples into 3 main categories: improvement group (n = 61), deterioration group (n = 54), and no change group (n = 137). "D9: psychomotor processing" showed the largest value of out-strength in the deterioration group (r = 0.941) and improvement group (r = 0.969). The strongest direct positive effect in the deterioration group was "C9: psychomotor processing" -> "C8: attention" (β = 0.39 [0.00, 1.13]). In the improvement group, the strongest direct positive effect was "C9 = psychomotor processing" -> "C7 = visual memory" (β = 0.69 [0.07, 1.30]).CONCLUSION AND IMPLICATIONS: Psychomotor processing affected other cognitive domains, and it played a crucial role in changes of cognitive function. The paths of psychomotor processing to attention and visual memory were found to be major factors in cognitive deterioration and improvement. Targeting psychomotor processing may lead to the development of more effective and precise interventions.

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Nurses Improving Care for Healthsystem Elders (NICHE), a program of NYU Rory Meyers College of Nursing, is a national quality and safety program that enhances clinical nursing in the care of older adults. Hospitals, long-term care, and hospice organizations adopt the NICHE practice model to advance professional practice, improve quality of care, and expand capacity to meet the growing demand for age-friendly care. In this month's column, I highlight three clinical improvement projects that were developed during the NICHE Leadership Training Program. These projects represent the range of nurse-led services and clinical interventions that are the foundation of the NICHE philosophy and practice model.

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Background: Chinese people experienced a nationwide coronavirus disease 2019 (COVID-19) pandemic after the adjustment of epidemic response policies from December 2022 to January 2023. This study aims to explore the prevalence of mental and cognitive symptoms and their associated factors among medical students after the COVID-19 pandemic. Methods: A cross-sectional study was conducted between February 27th and March 8th, 2023. The symptoms of anxiety, depression, insomnia, post-traumatic stress disorder (PTSD), and cognitive function among medical students were examined using the Generalized Anxiety Disorder-7 (GAD-7), the Patient Health Questionnaire-9 (PHQ-9), the Athens Insomnia Scale (AIS), the Impact of Event Scale-6 (IES-6), and the Perceived Deficits Questionnaire-Depression-5 (PDQ-D-5). Data on demographic information was also collected. Statistical analyses were conducted to describe the prevalence and explore the associated factors of mental and cognitive symptoms. Results: Among 947 participants, the proportion of students experiencing anxiety, depression, insomnia, and PTSD symptoms was 37.8, 39.3, 28.3, and 29.5%, respectively. The self-reported COVID-19 infection rate was 72.2%. Higher grades, childhood, and current rural residence were identified as potential risk factors for mental and cognitive symptoms. Gender, age, average monthly household income, and COVID-19 diagnosis were not associated with mental and cognitive symptoms among medical students. Conclusion: Our findings revealed a high prevalence of mental and cognitive symptoms among Chinese medical students after the COVID-19 pandemic. Special attention should be paid to the mental health of higher-grade students and those residing in rural areas.

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Aims/Hypothesis: Our prior analysis of the Diabetes Prevention Program study identified a subset of five miRNAs that predict incident type 2 diabetes. The purpose of this study was to identify mRNAs and biological pathways targeted by these five miRNAs to elucidate potential mechanisms of risk and responses to the tested interventions. Methods: Using experimentally validated data from miRTarBase version 8.0 and R (2021), we identified mRNAs with strong evidence to be regulated by individual or combinations of the five predictor miRNAs. Overrepresentation of the mRNA targets was assessed in pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation database. Results: The five miRNAs targeted 167 pathways and 122 mRNAs. Nine of the pathways have known associations with type 2 diabetes: Insulin signaling, Insulin resistance, Diabetic cardiomyopathy, Type 2 diabetes, AGE-RAGE signaling in diabetic complications, HIF-1 signaling, TGF-beta signaling, PI3K/Akt signaling, and Adipocytokine signaling pathways. Vascular endothelial growth factor A (VEGFA) has prior genetic associations with risk for type 2 diabetes and was the most commonly targeted mRNA for this set of miRNAs. Conclusions/Interpretation: These findings show that miRNA predictors of incident type 2 diabetes target mRNAs and pathways known to underlie risk for type 2 diabetes. Future studies should evaluate miRNAs as potential therapeutic targets for preventing and treating type 2 diabetes.

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CONTEXT: MicroRNAs (miRs) are short (ie, 18-26 nucleotide) regulatory elements of messenger RNA translation to amino acids. OBJECTIVE: The purpose of this study was to assess whether miRs are predictive of incident type 2 diabetes (T2D) in the Diabetes Prevention Program (DPP) trial. METHODS: This was a secondary analysis (n = 1000) of a subset of the DPP cohort that leveraged banked biospecimens to measure miRs. We used random survival forest and Lasso methods to identify the optimal miR predictors and the Cox proportional hazards to model time to T2D overall and within intervention arms. RESULTS: We identified 5 miRs (miR-144, miR-186, miR-203a, miR-205, miR-206) that constituted the optimal predictors of incident T2D after adjustment for covariates (hazard ratio [HR] 2.81, 95% CI 2.05, 3.87; P < .001). Predictive risk scores following cross-validation showed the HR for the highest quartile risk group compared with the lowest quartile risk group was 5.91 (95% CI 2.02, 17.3; P < .001). There was significant interaction between the intensive lifestyle (HR 3.60, 95% CI 2.50, 5.18; P < .001) and the metformin (HR 2.72; 95% CI 1.47, 5.00; P = .001) groups compared with placebo. Of the 5 miRs identified, 1 targets a gene with prior known associations with risk for T2D. CONCLUSION: We identified 5 miRs that are optimal predictors of incident T2D in the DPP cohort. Future directions include validation of this finding in an independent sample in order to determine whether this risk score may have potential clinical utility for risk stratification of individuals with prediabetes, and functional analysis of the potential genes and pathways targeted by the miRs that were included in the risk score.

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Background: The Self- and Family Management Framework was created in 2006 to help structure self- and family management science. Based on a series of reviews and syntheses of emerging research and critical evaluation, we developed the Framework into a robust nursing theory. Purpose: In this article, we reintroduce the Self- and Family Management Framework as the Middle Range Theory of Self- and Family Management of Chronic Illness. Methods: We review steps in the development and updating of the Framework, share rationale for advancement to a middle range theory, explicate components of the newly designed model, and propose future directions. Discussion and Conclusion: It is our hope that this middle range theory will guide researchers and clinicians more comprehensively in supporting patients and families managing chronic illness, which will in turn inform continued theory development.

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The intrapartum period is a crucial time in the continuum of pregnancy and parenting. Events during this time are shaped by individuals’ unique sociocultural and health characteristics and by their healthcare providers, practice protocols, and the physical environment in which care is delivered. Childbearing people in the United States have less opportunity for midwifery care than in other high-income countries. In the United States, there are 4 midwives for every 1000 live births, whereas, in most other high-income countries, there are between 30 and 70 midwives. Furthermore, these countries have lower maternal and neonatal mortality rates and have consistently lower costs of care. National and international evidences consistently report that births attended by midwives have fewer interventions, cesarean deliveries, preterm births, inductions of labor, and more vaginal births after cesarean delivery. In addition, midwifery care is consistently associated with respectful care and high patient satisfaction. Midwife-physician collaboration exists along a continuum, including births attended independently by midwives, births managed in consultation with a physician, and births attended primarily by a physician with a midwife acting as consultant on the normal aspects of care. This expert review defined midwifery care and provided an overview of midwifery in the United States with an emphasis on the intrapartum setting. Health outcomes associated with midwifery care, specific models of intrapartum care, and workforce issues have been presented within national and international contexts. Recommendations that align with the integration of midwifery have been suggested to improve national outcomes and reduce pregnancy-related disparities.

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Objective: The purpose of this study was to understand the limited English proficiency patient experience with health care services in an urban setting in the United States. Methods: Through a narrative analysis approach, 71 individuals who spoke either Spanish, Russian, Cantonese, Mandarin, or Korean shared their experiences through semi-structured interviews between 2016 and 2018. Analyses used monolingual and multilingual open coding approaches to generate themes. Results: Six themes illustrated patient experiences and identified sources of structural inequities perpetuating language barriers at the point of care. An important thread throughout all interviews was the sense that the language barrier with clinicians posed a threat to their safety when receiving healthcare, citing an acute awareness of additional risk for harm they might experience. Participants also consistently identified factors they felt would improve their sense of security that were specific to clinician interactions. Differences in experiences were specific to culture and heritage. Conclusions: The findings highlight the ongoing challenges spoken language barriers pose across multiple points of care in the United States' health care system. Innovation: The multi-language nature of this study and its methodological insights are innovative as most studies have focused on clinicians or patient experiences in a single language.

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The dietary behaviors of Asian American (AA) young adults, who face a growing non-communicable disease burden, are impacted by complex socio-ecological forces. Family plays a crucial role in the lifestyle behaviors of AA young adults; however, little is known on the methods, contributors, and impact of familial dietary influence. This study aims to deconstruct the mechanisms of AA young adult familial dietary influence through a multi-perspective qualitative assessment. A five-phase method of dyadic analysis adapted from past research was employed to extract nuanced insights from dyadic interviews with AA young adults and family members, and ground findings in behavioral theory (the Social Cognitive Theory, SCT). 37 interviews were conducted: 18 young adults, comprising 10 different AA ethnic subgroups, and 19 family members (10 parents, 9 siblings). Participants described dietary influences that were both active (facilitating, shaping, and restricting) and passive (e.g., sharing foods or environment, mirroring food behaviors). Influences connected strongly with multiple SCT constructs (e.g., behavioral capacity, reinforcements for active influences, and expectations, observational learning for passive influences). Familial influence contributed to changes in the total amount, variety, and healthfulness of foods consumed. Intra-family dynamics were crucial; family members often leveraged each other’s persuasiveness or food skills to collaboratively influence diet. AA family-based interventions should consider incorporating both passive and active forms of dietary influence within a family unit, involve multiple family members, and allow for individualization to the unique dynamics and dietary behaviors within each family unit.

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Introduction: Integrated transcriptome and microRNA differential gene expression (DEG) analyses may help to explain type 2 diabetes (T2D) pathogenesis in at-risk populations. The purpose of this study was to characterize DEG in banked biospecimens from underactive adult participants who responded to a randomized clinical trial measuring the effects of lifestyle interventions on T2D risk factors. DEGs were further examined within the context of annotated biological pathways. Methods: Participants (n = 52) in a previously completed clinical trial that assessed a 12-week behavioural intervention for T2D risk reduction were included. Participants who showed >6mg/dL decrease in fasting blood glucose were identified as responders. Gene expression was measured by RNASeq, and overrepresentation analysis within KEGG pathways and weighted gene correlation network analysis (WGCNA) were performed. Results: No genes remained significantly differentially expressed after correction for multiple comparisons. One module derived by WGCNA related to body mass index was identified, which contained genes located in KEGG pathways related to known mechanisms underlying risk for T2D as well as pathways related to neurodegeneration and protein misfolding. A network analysis showed indirect connections between genes in this module and islet amyloid polypeptide (IAPP), which has previously been hypothesized as a mechanism for T2D. Discussion: We validated prior studies that showed pathways related to metabolism, inflammation/immunity, and endocrine/hormone function are related to risk for T2D. We identified evidence for new potential mechanisms that include protein misfolding. Additional studies are needed to determine whether these are potential therapeutic targets to decrease risk for T2D.

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The objective of this study was to characterize multiple chronic conditions (MCCs) among seriously ill adults receiving palliative care at the end of life. A latent class analysis was conducted to identify latent subgroups of seriously ill older adults based on a baseline Charlson comorbidity index (CCI) measurement, a measure of comorbidity burden, and mortality risk. The three latent subgroups were: (1) low to moderate CCI with MCC, (2) high CCI with MCC, and (3) high CCI and metastatic cancer. The “low to moderate CCI and MCC” subgroup included older adults with chronic obstructive pulmonary disease (COPD), cardiovascular disease, congestive heart failure, myocardial infarction, dementia, diabetes, and lymphoma. A “high CCI and MCC” subgroup included individuals with severe illness including liver or renal disease among other MCCs. A “high CCI and metastatic cancer” included all participants with metastatic cancer. This study sheds light on the MCC profile of seriously ill adults receiving palliative care.

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BACKGROUND: Social determinants of health, including neighborhood context, may be a key driver of severe maternal morbidity and its related racial and ethnic inequities; however, investigations remain limited. OBJECTIVE: This study aimed to examine the associations between neighborhood socioeconomic characteristics and severe maternal morbidity, as well as whether the associations between neighborhood socioeconomic characteristics and severe maternal morbidity were modified by race and ethnicity. STUDY DESIGN: This study leveraged a California statewide data resource on all hospital births at ≥20 weeks of gestation (1997–2018). Severe maternal morbidity was defined as having at least 1 of 21 diagnoses and procedures (eg, blood transfusion or hysterectomy) as outlined by the Centers for Disease Control and Prevention. Neighborhoods were defined as residential census tracts (n=8022; an average of 1295 births per neighborhood), and the neighborhood deprivation index was a summary measure of 8 census indicators (eg, percentage of poverty, unemployment, and public assistance). Mixed-effects logistic regression models (individuals nested within neighborhoods) were used to compare odds of severe maternal morbidity across quartiles (quartile 1 [the least deprived] to quartile 4 [the most deprived]) of the neighborhood deprivation index before and after adjustments for maternal sociodemographic and pregnancy-related factors and comorbidities. Moreover, cross-product terms were created to determine whether associations were modified by race and ethnicity. RESULTS: Of 10,384,976 births, the prevalence of severe maternal morbidity was 1.2% (N=120,487). In fully adjusted mixed-effects models, the odds of severe maternal morbidity increased with increasing neighborhood deprivation index (odds ratios: quartile 1, reference; quartile 4, 1.23 [95% confidence interval, 1.20–1.26]; quartile 3, 1.13 [95% confidence interval, 1.10–1.16]; quartile 2, 1.06 [95% confidence interval, 1.03–1.08]). The associations were modified by race and ethnicity such that associations (quartile 4 vs quartile 1) were the strongest among individuals in the “other” racial and ethnic category (1.39; 95% confidence interval, 1.03–1.86) and the weakest among Black individuals (1.07; 95% confidence interval, 0.98–1.16). CONCLUSION: Study findings suggest that neighborhood deprivation contributes to an increased risk of severe maternal morbidity. Future research should examine which aspects of neighborhood environments matter most across racial and ethnic groups.

Abstract

Importance: Medication nonadherence is common among patients with heart failure with reduced ejection fraction (HFrEF) and can lead to increased hospitalization and mortality. Patients living in socioeconomically disadvantaged areas may be at greater risk for medication nonadherence due to barriers such as lower access to transportation or pharmacies. Objective: To examine the association between neighborhood-level socioeconomic status (nSES) and medication nonadherence among patients with HFrEF and to assess the mediating roles of access to transportation, walkability, and pharmacy density. Design, Setting, and Participants: This retrospective cohort study was conducted between June 30, 2020, and December 31, 2021, at a large health system based primarily in New York City and surrounding areas. Adult patients with a diagnosis of HF, reduced EF on echocardiogram, and a prescription of at least 1 guideline-directed medical therapy (GDMT) for HFrEF were included. Exposure: Patient addresses were geocoded, and nSES was calculated using the Agency for Healthcare Research and Quality SES index, which combines census-tract level measures of poverty, rent burden, unemployment, crowding, home value, and education, with higher values indicating higher nSES. Main Outcomes and Measures: Medication nonadherence was obtained through linkage of health record prescription data with pharmacy fill data and was defined as proportion of days covered (PDC) of less than 80% over 6 months, averaged across GDMT medications. Results: Among 6247 patients, the mean (SD) age was 73 (14) years, and majority were male (4340 [69.5%]). There were 1011 (16.2%) Black participants, 735 (11.8%) Hispanic/Latinx participants, and 3929 (62.9%) White participants. Patients in lower nSES areas had higher rates of nonadherence, ranging from 51.7% in the lowest quartile (731 of 1086 participants) to 40.0% in the highest quartile (563 of 1086 participants) (P <.001). In adjusted analysis, patients living in the lower 2 nSES quartiles had significantly higher odds of nonadherence when compared with patients living in the highest nSES quartile (quartile 1: odds ratio [OR], 1.57 [95% CI, 1.35-1.83]; quartile 2: OR, 1.35 [95% CI, 1.16-1.56]). No mediation by access to transportation and pharmacy density was found, but a small amount of mediation by neighborhood walkability was observed. Conclusions and Relevance: In this retrospective cohort study of patients with HFrEF, living in a lower nSES area was associated with higher rates of GDMT nonadherence. These findings highlight the importance of considering neighborhood-level disparities when developing approaches to improve medication adherence..

Abstract

IMPORTANCE: Medication nonadherence is common among patients with heart failure with reduced ejection fraction (HFrEF) and can lead to increased hospitalization and mortality. Patients living in socioeconomically disadvantaged areas may be at greater risk for medication nonadherence due to barriers such as lower access to transportation or pharmacies.OBJECTIVE: To examine the association between neighborhood-level socioeconomic status (nSES) and medication nonadherence among patients with HFrEF and to assess the mediating roles of access to transportation, walkability, and pharmacy density.DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study was conducted between June 30, 2020, and December 31, 2021, at a large health system based primarily in New York City and surrounding areas. Adult patients with a diagnosis of HF, reduced EF on echocardiogram, and a prescription of at least 1 guideline-directed medical therapy (GDMT) for HFrEF were included.EXPOSURE: Patient addresses were geocoded, and nSES was calculated using the Agency for Healthcare Research and Quality SES index, which combines census-tract level measures of poverty, rent burden, unemployment, crowding, home value, and education, with higher values indicating higher nSES.MAIN OUTCOMES AND MEASURES: Medication nonadherence was obtained through linkage of health record prescription data with pharmacy fill data and was defined as proportion of days covered (PDC) of less than 80% over 6 months, averaged across GDMT medications.RESULTS: Among 6247 patients, the mean (SD) age was 73 (14) years, and majority were male (4340 [69.5%]). There were 1011 (16.2%) Black participants, 735 (11.8%) Hispanic/Latinx participants, and 3929 (62.9%) White participants. Patients in lower nSES areas had higher rates of nonadherence, ranging from 51.7% in the lowest quartile (731 of 1086 participants) to 40.0% in the highest quartile (563 of 1086 participants) (P < .001). In adjusted analysis, patients living in the lower 2 nSES quartiles had significantly higher odds of nonadherence when compared with patients living in the highest nSES quartile (quartile 1: odds ratio [OR], 1.57 [95% CI, 1.35-1.83]; quartile 2: OR, 1.35 [95% CI, 1.16-1.56]). No mediation by access to transportation and pharmacy density was found, but a small amount of mediation by neighborhood walkability was observed.CONCLUSIONS AND RELEVANCE: In this retrospective cohort study of patients with HFrEF, living in a lower nSES area was associated with higher rates of GDMT nonadherence. These findings highlight the importance of considering neighborhood-level disparities when developing approaches to improve medication adherence.

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Background: We sought to describe neuropsychiatric symptoms (NPS) among people living with dementia (PLWD) from diverse racial and ethnic groups receiving home health services while accounting for dementia severity, individual symptom prevalence, and neighborhood disadvantage. Methods: A prospective study using cross-sectional data from n = 192 PLWD receiving skilled home healthcare in New Jersey enrolled in the Dementia Symptom Management at Home Program trial. We prospectively measured symptom prevalence with the Neuropsychiatric Inventory Questionnaire and dementia severity using the Quick Dementia Rating System. A one-way ANOVA determined NPS prevalence by dementia severity (mild, moderate, severe). Fisher's exact tests were used to assess the association of individual symptom prevalence with race and ethnicity and cross tabs to descriptively stratify individual symptom prevalence by dementia severity among groups. A Pearson correlation was performed to determine if a correlation existed among neighborhood disadvantages measured by the Area Deprivation Index (ADI) state decile scores and NPS prevalence and severity. Results: Participants identified as non-Hispanic White (50%), non-Hispanic Black (30%), or Hispanic (13%). NPS were prevalent in 97% of participants who experienced 5.4 ± 2.6 symptoms with increased severity (10.8 ± 6.6) and care partner distress (13.8 ± 10.8). NPS increased with dementia severity (p = 0.004) with the greatest difference seen between individuals with mild dementia (4.3 ± 2.3) versus severe dementia (5.9 ± 2.3; p = 0.002). Few differences were found in symptom prevalence by racial and ethnic sub-groups. Nighttime behaviors were higher in non-Hispanic Black (78%), compared with non-Hispanic Whites (46%) with moderate dementia, p = 0.042. State ADI scores were not correlated with the number of NPS reported, or severity. Conclusions: NPS were prevalent and increased with dementia severity with commonalities among racial and ethnic groups with varying levels of neighborhood disadvantage. There is a need for effective methods for improving NPS identification, assessment, and management broadly for homebound PLWD.

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Background: The challenge to increase the diversity, inclusivity, and equity of nurse scientists is a critical issue to enhance nursing knowledge development, health care, health equity, and health outcomes in the United States. Purpose: The purpose of this paper is to highlight the current nurse scholars in the Robert Wood Johnson Foundation (RWJF) Harold Amos Medical Faculty Development Program (AMFDP). Discussion: Profiles and the programs of research and scholarship of the current AMFDP nurse scholars are described and discussed. Scholars share lessons learned, and how the AMFDP program has influenced their thinking and commitments to future action in service of nursing science, diversity efforts, legacy leadership, issues of health equity. Conclusion: RWJF has a history of supporting the development of nursing scholars. AMFDP is an example of legacy leadership program that contributes to a culture of health and the development of next-generation nursing science scholars.

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Nurses Improving Care for Healthsystems Elders (NICHE), one of the original geriatric care models, enhances the overall quality and safety of nursing care provided to older adults in hospital and post-acute care settings. NICHE is a relatively low-cost, high-impact investment in the nursing workforce to improve performance on the nurse-sensitive quality indicators including falls, pressure injuries, medication safety, urinary incontinence, restraint reduction, delirium identification and management, reducing preventable readmissions, among others. NICHE also serves as a foundation to enhance nursing care to achieve national accreditation standards for a number of geriatric and nursing quality programs.

Abstract

Background: Nurses’ knowledge of heart failure (HF) is highly variable, ranging from expert to poor, potentially leading to inadequate self-care. Objectives: (1) document the knowledge variation of HF assessment and management among specialist and generalist nurses; (2) determine factors that may be associated with nurses’ knowledge; and (3) describe nurses’ views of knowledge deficits and ways to improve nurses’ knowledge to better meet the needs educational interventions. Method: Members of the American Association of Heart Failure Nurses and Registered Nurses were invited to participate in a cross-sectional survey. Independent samples t-test, chi-square, and linear regression were used for quantitative analysis. Text analysis was applied to analyze the themes of qualitative comments. Results: A total of 918 nurses completed the survey. Specialist nurses had higher scores than generalist nurses with statistically significant F-test for diet, fluid, signs/symptoms, medication, and exercise. Both specialist and generalist nurses were least knowledgeable about dry weight, asymptomatic hypotension, and transient dizziness. Being a specialist nurse was associated with higher level of knowledge scores. Years of experience and race were significant factors associated with knowledge scores in generalist nurses. Confidence level and race were significant predictors for specialist nurses. Three themes emerged regarding the cause of nurses’ insufficient knowledge and several approaches were provided. Conclusions: Specialist nurses are not only knowledgeable, but their knowledge levels are less variable compared to generalist nurses. There is a need to identify additional factors that may potentially influence nurses’ knowledge, contributing to the effectiveness of interventions.

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An expanding body of research indicates that poor nutrition can change the function of the brain and alter individual behavior and mental health status. The brain is the most energy-consuming organ in the human body. Therefore, maintaining and optimizing brain health, mental health, and psychological functioning depend on a constant supply of nutrients. Data demonstrate that inadequate quality or quantity of nutrition is associated with an increased risk of mental health problems. Lifestyle psychiatry is an approach that aims to address underlying causes or contributing factors to poor mental health and/or mental health conditions, including nutrition. This chapter will discuss nutrition as an integral component of lifestyle psychiatry, as well as a key determinant and factor in mental health outcomes and outcomes for those with mental health disorders. A lifestyle psychiatry approach can help to improve patient outcomes, prevent the onset of mental health and brain health conditions, and enhance the management and treatment of mental health problems by promoting healthy dietary patterns, addressing nutritional deficiencies, and incorporation nutrition-related interventions into clinical practice.