Socio-demographic inequities in health treatment and outcomes are not new. However, the COVID-19 pandemic presented new opportunities to examine and address biases. This article describes a scoping review of 170 papers published prior to the onset of global vaccinations and treatment (December 2021). We report differentiated COVID-19-related patient outcomes for people with various socio-demographic characteristics, including the need for intubation and ventilation, intensive care unit admission, discharge to hospice care, and mortality. Using the PROGRESS-Plus framework, we determined that the most researched socio-demographic factor was race/ethnicity/culture/language. Members of minoritized racial and ethnic groups tended to have worse COVID-19-related patient outcomes; more research is needed about other categories of social disadvantage, given the scarcity of literature on these factors at the time of the review. It is only by researching and addressing the causes of social disadvantage that we can avoid such injustice in future public health crises.

BACKGROUND: Bipolar disorder (BD) is a chronic and recurrent illness characterized by manic, mixed or depressive episodes, alternated with periods of euthymia. Several prognostic factors are associated with higher rates of relapse, which is crucial for the identification of high-risk individuals. This study aimed at systematically reviewing the existing literature regarding the impact of sociodemographic, clinical and environmental factors, in clinical relapses, recurrences and hospitalizations due to mood episodes in BD.
METHODS: A systematic search of electronic databases (PubMed, Cochrane library and Web of Science) was conducted to integrate current evidence about the impact of specific risk factors in these outcomes.
RESULTS: Fifty-eight articles met the inclusion criteria. Studies were grouped by the type of factors assessed. Family and personal psychiatric history, more severe previous episodes, earlier age of onset, and history of rapid cycling are associated with clinical relapses, along with lower global functioning and cognitive impairments. Unemployment, low educational status, poorer social adjustment and life events are also associated with higher frequency of episodes, and cannabis with a higher likelihood for rehospitalization.
CONCLUSIONS: Small sample sizes, absence of randomized clinical trials, diverse follow-up periods, lack of control for some confounding factors, heterogeneous study designs and diverse clinical outcomes.
CONCLUSIONS: Although current evidence remains controversial, several factors have been associated with an impaired prognosis, which might allow clinicians to identify patients at higher risk for adverse clinical outcomes and find modifiable factors. Further research is needed to elucidate the impact of each risk factor in the mentioned outcomes.

Cognitive behavioral therapies have been identified as evidence-based treatments for anxiety-related disorders. However, data supporting the effectiveness of these treatments have been largely collected from participants with majoritized identities, potentially limiting the extent to which they can be considered \"evidence-based\" for clients from minoritized groups. The current review examined sociodemographic representation and quality of sociodemographic reporting in randomized controlled trials for anxiety-related disorders in the U.S. between 1993 and 2023. We conducted a systematic literature review of U.S.-based randomized controlled trials of cognitive behavioral therapies for anxiety-related disorders, extracted data on sociodemographic variables, and rated quality of reporting. Data from 55 eligible studies (N = 4492) indicated that white and female identities were overrepresented relative to the U.S. population, with variables like disability status, sexual orientation, and religious identification consistently ignored. In addition, quality of reporting was generally poor (mean = 3.6 out of 10), with many studies failing to account for demographic variables in their analyses or description of study limitations. Publication year, sample size, and NIH funding status did not significantly predict gender representation (% women), ethnoracial representation (% white), or quality of reporting. These findings underscore the importance of critically evaluating to whom \"evidence-based\" treatments apply and increasing diversity of clinical samples, to ensure that evidence-based treatments are inclusive. Recommendations for future research, clinical implications, and limitations are discussed.

BACKGROUND: Many individuals experiencing mental health complications face barriers when attempting to access services. To bridge this care gap, digital mental health innovations (DMHI) have proven to be valuable additions to in-person care by enhancing access to care. An important aspect to consider when evaluating the utility of DMHI is perceived acceptability. However, it is unclear whether diverse sociodemographic groups differ in their degree of perceived acceptability of DMHI.
OBJECTIVE: This scoping review aims to synthesize evidence on the role of sociodemographic factors (e.g., age, gender) in the perceived acceptability of DMHI among individuals seeking mental health care.
METHODS: Guided by the JBI Manual of Evidence Synthesis, chapter on Scoping Review, a search strategy developed according to the PCC framework will be implemented in MEDLINE and then adapted to four electronic databases (i.e., CINAHL, MEDLINE, PsycINFO, and EMBASE). The study selection strategy will be piloted by two reviewers on subsets of 30 articles until agreement among reviewers reaches 90%, after which one reviewer will complete the remaining screening of titles and abstracts. The full-text screening, data extraction strategy, and charting tool will be completed by one reviewer and then validated by a second member of the team. Main findings will be presented using tables and figures.
UNASSIGNED: This scoping review will examine the extent to which sociodemographic factors have been considered in the digital mental health literature. Also, the proposed review may help determine whether certain populations have been associated with a lower level of acceptability within the context of digital mental health care. This investigation aims to favor equitable access to DMHI among diverse populations.

The coronavirus has wreaked havoc on the global economy before the eyes of the entire world. Due to evolving consumer needs and expectations during the pandemic, the supply and demand for various goods and services varied from the pre-COVID-19 period. This article aims to understand the changes in purchasing and food choices, focusing particularly on meat and meat products, made by consumers and households in response to the crisis caused by the COVID-19 pandemic. The study also indicates the impact directions of these changes and assesses the magnitude of the contribution of various determinants that influenced them. The literature review from 2020 to 2023 was conducted using Scopus and the Web of Science scientific databases. The study identified sociodemographic and individual factors as the main determinants influencing consumers\' purchasing or eating behavior. Positive shifts (e.g., implementing strategies to better manage food at home through activities like creating shopping lists, the average increase in consumer spending during store visits, and decrease in visit frequencies) or negative changes (e.g., shortages of food products in stores due to consumer panic buying, unusually high demand resulting from stockpiling, purchasing fewer fresh products, increased consumption of unhealthy foods and snacking, among other factors) during isolation were influenced by various individual factors (e.g., motivation, mental state) or sociodemographic factors (e.g., gender, age, income level, education). While individual factors had a greater impact on changes in consumer behavior in the early stages of the COVID-19 pandemic, socio-demographic factors became more important as the pandemic progressed.

UNASSIGNED: Multimorbidity among older adults is a growing concern in India. Multimorbidity is defined as the coexistence of two or more chronic health conditions in an individual. Primary studies have been conducted on risk factors of multimorbidity in India, but no systematic review has been conducted on this topic. This systematic review aimed to synthesize the existing evidence on risk factors of multimorbidity among older adults in India.
UNASSIGNED: The JBI and Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines were followed. Several databases were searched for published and unpublished studies until August 03, 2022. The screening of titles and abstracts and full texts, data extraction, and quality assessment were conducted by two independent reviewers. Any disagreements were resolved through discussion or by involving a third reviewer. Data synthesis was conducted using narrative synthesis and random effects meta-analysis, where appropriate.
UNASSIGNED: Out of 8781 records identified from the literature search, 16 and 15 studies were included in the systematic review and meta-analysis, respectively. All included studies were cross-sectional, and 10 met a critical appraisal score of more than 70%. Broadly, sociodemographic, lifestyle, and health conditions-related factors were explored in these studies. The pooled odds of multimorbidity were higher in people aged ≥70 years compared to 60-69 years (odds ratio (OR) 1.51; 95% confidence interval (CI) 1.20-1.91), females compared to males (1.38; 1.09-1.75), single, divorced, separated, and widowed compared to married (1.29; 1.11-1.49), economically dependent compared to economically independent (1.54; 1.21-1.97), and smokers compared to non-smokers (1.33; 1.16-1.52) and were lower in working compared to not working (0.51; 0.36-0.72).
UNASSIGNED: This systematic review and meta-analysis provided a comprehensive picture of the problem by synthesizing the existing evidence on risk factors of multimorbidity among older adults in India. These synthesized sociodemographic and lifestyle factors should be taken into consideration when developing health interventions for addressing multimorbidity among older adults in India.

UNASSIGNED: Underrepresentation of minority groups in clinical trials may hinder the potential benefits of pulmonary rehabilitation (PR) programs for individuals with chronic obstructive pulmonary disease (COPD). The aim of this work was to determine whether participants in PR randomized control trials (RCTs) conducted in the U.S.A., Canada, the UK, and Australia are representative of ethnicity, sex, gender, and sociodemographic characteristics.
UNASSIGNED: A systematic search was performed for relevant literature from inception to December 2022. Titles and abstracts were screened before undergoing a full article review. Relevant data on reporting of age, sex, gender, ethnicity, and sociodemographic characteristics of participants was extracted.
UNASSIGNED: Thirty-six RCTs met the inclusion criteria. Only 6% of publications reported on ethnicity, with ≥90% of participants reported as \'White.\' All 36 papers reported on age, with the mean between 60 and 69 years old. Thirty-five studies reported on sex (97%), with the majority (67%) reporting more male than female participants. There was no mention of different genders in any paper. Other sociodemographic factors were reported in 7 (19%) papers.
UNASSIGNED: Inclusivity and representation in clinical trials are essential to ensure that research findings are generalizable. Clinical trialists need to consider the demographics of today\'s society during recruitment.

The literature on Temporomandibular Disorders (TMD) incidence commonly reports sociodemographic factors such as gender and age. However, the role and prevalence of other sociodemographic factors in TMD are not well defined. Therefore, this scoping review aimed to report the prevalence of sociodemographic factors in TMD patients. A systematic search was conducted in the PubMed and Web of Science databases to identify clinical trials in adult populations, using the Research Diagnostic Criteria for TMD (RDC/TMD) or the Diagnostic Criteria for TMD (DC/TMD) and reporting sociodemographic data in TMD patients. Twenty-seven studies meeting the criteria were included in this review. The most commonly reported sociodemographic factors assessed in the included studies were age, race, education, job, income, and marital status. TMD prevalence was observed to be higher among younger and divorced individuals among the included studies. However, conflicting results were found for education level, and employment was not considered a risk factor for TMD. Although this review has methodological limitations, it suggests an association between TMD incidence and certain sociodemographic factors; nevertheless, further studies are needed to establish this relationship more conclusively.

Introduction: The COVID-19 pandemic brought unprecedented change to the health care industry, including a large and rapid shift to providing care through telehealth technologies. Although the expansion of telehealth services was successful in continuing to provide patients with care while preventing the spread of disease, it is less clear how patient sociodemographic characteristics influenced telehealth use during this time. This study aims to systematically review the published literature on demographic differences in telehealth access, utilization, and health outcomes among a variety of adult patient types in the United States. Methods: Litcovid, PubMed, Web of Science, and MEDLINE databases were searched, resulting in a final sample of n = 32 studies. Results: Results found that studies could be categorized as addressing at least one of eight different areas of inquiry: sociodemographic differences in telehealth use (1) during and (2) before the pandemic, telehealth use versus nonuse (3) during and (4) before the pandemic, (5) telehealth modality, (6) satisfaction with telehealth, (7) outcomes associated with telehealth use, and (8) perceived or actual access to telehealth services. Discussion: Findings are robust across included studies with respect to racial, age, and socioeconomic differences in telehealth utilization and health outcomes, reflecting sociodemographic differences in health care access, utilization, and outcomes more broadly that persist despite this expansion of telehealth services owing to COVID-19. Additional findings across studies are summarized and areas for future research are discussed.

OBJECTIVE: To identify disparities in sociodemographic factors that are associated with major lower limb amputation in patients with peripheral arterial disease (PAD).
METHODS: A systematic review of the literature was performed to identify studies that reported major lower limb amputation rates in patients with PAD among different sociodemographic groups. Data that compared amputation rates on the basis of sex, race, ethnicity, income, insurance, geography, and hospital type were collected and described. Outcomes were then aggregated and standardized, and a meta-analysis was performed to synthesis data into single odds ratios (ORs).
RESULTS: Forty-one studies were included in the review. There was no association found between males and females (OR, 0.95; 95% confidence interval [CI], 0.90-1.00). Compared with Whites, higher rates of amputation were seen among Blacks/African Americans (OR, 2.02; 95% CI, 1.81-2.26) and Native Americans (OR, 1.22; 95% CI, 1.04-1.45). No significant association was found between Whites and Asians, Native Hawaiians, or Pacific Islanders (OR, 1.15; 95% CI, 1.00-1.33). Hispanics had higher rates of amputation compared with non-Hispanics (OR, 1.36; 95% CI, 1.22-1.52). Compared with private insurance, higher rates of amputation were seen among Medicare patients (OR, 1.38; 95% CI, 1.27-1.50), Medicaid patients (OR, 1.59; 95% CI, 1.44-1.76), and noninsured patients (OR, 1.41; 95% CI, 1.02-1.95). Compared with the richest income quartile, higher rates of amputation were seen among the second income quartile (OR, 1.10; 95% CI, 1.05-1.15), third income quartile (OR, 1.20; 95% CI, 1.07-1.35), and bottom income quartile (OR, 1.36; 95% CI, 1.24-1.49). There was no association found between rural and urban populations (OR, 1.35; 95% CI, 0.92-1.97) or between teaching and nonteaching hospitals (OR, 1.01; 95% CI, 0.91-1.12).
CONCLUSIONS: Our study has identified a number of disparities and quantified the influence of sociodemographic factors on major lower limb amputation rates owing to PAD between groups. We believe these findings can be used to better target interventions aimed at decreasing amputation rates, although further research is needed to better understand the mechanisms behind our findings.