Erratum to: Migration and social determinants of mental health: Results from the Canadian Health Measures Survey.
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ABSTRACT:
SUBMITTER: Salami B
PROVIDER: S-EPMC6972177 | biostudies-literature | 2017 Sep
REPOSITORIES: biostudies-literature
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Project description:To develop psychometrically sound, culturally relevant, and linguistically equivalent English and Spanish self-report measures of social health guided by a comprehensive conceptual model and applicable across chronic illnesses.The Patient-Reported Outcomes Measurement Information System (PROMIS) Social Health Workgroup implemented a mixed methods approach to evaluate earlier results (v1.0); expand and refine domain definitions and items; translate items into Spanish; and obtain qualitative feedback. Computer-based and paper/pencil questionnaire administration was conducted with a variety of U.S. respondent samples during 2009-2012. Analyses included exploratory factor analysis (EFA), confirmatory factor analysis (CFA), two-parameter logistic item response theory (IRT) modeling, evaluation of differential item functioning (DIF), and evaluation of criterion and construct validity.Qualitative feedback supported the conceptualization of the Social Health domain framework (Social Function and Social Relationships subcomponents). Validation testing participants (n = 2,208 English; n = 644 Spanish) were diverse in terms of gender, age, education, and ethnicity/race. EFA, CFA, and IRT identified 7 unidimensional factors with good model fit. There was no DIF by language, and good evidence of criterion and construct validity.PROMIS English and Spanish language instruments (v2.0), including computer-adaptive tests and fixed-length short forms, are publicly available for assessment of Social Function (Ability to Participate in Social Roles and Activities, and Satisfaction with Social Roles and Activities) and Social Relationships (Companionship; Emotional, Informational and Instrumental Support; and Social Isolation). Measures of social health will play a key role in applications that use ecologic (or determinants of health) models that emphasize how patients' social environments influence their health.
| S-EPMC4159098 | biostudies-other
Project description:BackgroundLow folate concentrations are inversely associated with birth defects, including neural tube defects, congenital heart disease and oral clefts. Conversely, high folate concentrations may be associated with adverse outcomes, including increased risk of colorectal cancer among those with pre-existing neoplasms. The purpose of our study was to investigate the folate status of a nationally representative sample of Canadians, including a subset of women of childbearing age.MethodsWe examined red blood cell folate concentrations among members of the general population aged 6-79 years (n = 5248) and separately among women of childbearing age (15-45 yr, n = 1162), as recorded by the Canadian Health Measures Survey and measured by immunologic assay. We assessed the data for significant differences by age, sex and socioeconomic status.ResultsLess than 1% of Canadians showed folate deficiency (red blood cell folate < 305 nmol/L) and 40% showed high folate concentrations (> 1360 nmol/L). Among women of childbearing age, 22% showed concentrations below those considered optimal for maximal neural tube defect-risk reduction (< 906 nmol/L). Significant differences by age and socio-economic status, but not sex, were evident in median red blood cell folate concentrations, although concentrations in all groups exceeded recommended levels. No differences by age or income were found among women of child-bearing age.InterpretationFolate deficiency is virtually nonexistent in the Canadian population, although high folate concentrations are evident. Additional research is needed to better understand the determinants of red blood cell folate among women of childbearing age who have concentrations below levels that are maximally protective against neural tube defects. Ongoing monitoring of the folate status of Canadians and the relationship between red blood cell folate and health outcomes is warranted.
| S-EPMC3033951 | biostudies-literature
Project description:BACKGROUND: Self-reported screen time is associated with elevated health risk in children and youth; however, research examining the relationship between accelerometer-measured sedentary time and health risk has reported mixed findings. The purpose of this study was to examine the association between accelerometer-measured patterns of sedentary time and health risk in children and youth. METHODS: The results are based on 1,608 children and youth aged 6 to 19 years from the Canadian Health Measures Survey (2007-2009). Sedentary time was measured using the Actical accelerometer. Breaks in sedentary time and prolonged bouts of sedentary time lasting 20 to 120 minutes were derived for all days, weekend days and during the after-school period (i.e., after 3 pm on weekdays). Regression analyses were used to examine the association between patterns of sedentary time and body mass index (BMI), waist circumference, blood pressure and non-HDL cholesterol. RESULTS: Boys accumulated more sedentary time on weekdays after 3 pm and had a higher number of breaks in sedentary time compared to girls. Overweight/obese boys (aged 6-19 years) accumulated more sedentary time after 3 pm on weekdays (282 vs. 259 min, p < .05) and as prolonged bouts lasting at least 80 minutes (171 vs. 133 min, p < .05) compared to boys who were neither overweight nor obese. Prolonged bouts of sedentary time lasting at least 80 minutes accumulated after 3 pm on weekdays were positively associated with BMI and waist circumference in boys aged 11-14 years (p < .006). Each additional 60 min of sedentary time after 3 pm on weekdays was associated with a 1.4 kg·m-2 higher BMI and a 3.4 cm higher waist circumference in 11-14 year old boys. No sedentary pattern variables differed between girls who were not overweight or obese and those who were overweight/obese and none of the sedentary pattern variables were associated with any health markers in girls. CONCLUSIONS: The findings confirm results of other studies that reported accelerometer-measured sedentary time was not associated with health risk in children and youth. Even when the pattern and timing of sedentary time was examined relative to health markers, few associations emerged and were limited to boys aged 11-14 years.
| S-EPMC3599834 | biostudies-other
Project description:BackgroundA self-reported life satisfaction question is routinely used as an indicator of societal well-being. Several studies support that mental illness is an important determinant for life satisfaction and improvement of mental healthcare access therefore could have beneficial effects on a population's life satisfaction. However, only a few studies report the relationship between subjective mental health and life satisfaction. Subjective mental health is a broader concept than the presence or absence of psychopathology. In this study, we examine the strength of the association between a self-reported mental health question and self-reported life satisfaction, taking into account other relevant factors.MethodsWe conducted this analysis using successive waves of the Canadian Community Health Survey (CCHS) collected between 2003 and 2012. Respondents included more than 400,000 participants aged 12 and over. We extracted information on self-reported mental health, socio-demographic and other factors and examined correlation with self-reported life satisfaction using a proportional ordered logistic regression.ResultsLife satisfaction was strongly associated with self-reported mental health, even after simultaneously considering factors such as income, general health, and gender. The poor-self-reported mental health group had a particularly low life satisfaction. In the fair-self-reported mental health category, the odds of having a higher life satisfaction were 2.35 (95% CI 2.21 to 2.50) times higher than the odds in the poor category. In contrast, for the "between 60,000 CAD and 79,999 CAD" household income category, the odds of having a higher life satisfaction were only 1.96 (95% CI 1.90 to 2.01) times higher than the odds in the "less than 19,999 CAD" category.ConclusionsSubjective mental health contributes highly to life satisfaction, being more strongly associated than other selected previously known factors. Future studies could be useful to deepen our understanding of the interplay between subjective mental health, mental illness and life satisfaction. This may be beneficial for developing public health policies that optimize mental health promotion, illness prevention and treatment of mental disorders to enhance life satisfaction in the general population.
| S-EPMC5848433 | biostudies-literature
Project description:AimResearch on trends in youth mental health is used to inform government policy and service funding decisions. It often uses interviewer-administered surveys, which may be affected by mode effects related to social desirability bias. This study sought to determine the impact of survey administration mode on mental health measures, comparing mode effects for sensitive mental health measures (psychological distress and wellbeing) and non-sensitive (physical activity) measures.MethodsData were from two large national community samples of young Australians aged 12-25 years conducted in 2020 (N = 6238) and 2022 (N = 4122), which used both interviewer-administered and self-report modes of data collection.ResultsResults showed participants reported lower psychological distress and higher wellbeing in the interviewer-assisted compared with the self-report mode. No mode effects were found for the non-sensitive physical activity measures. No interaction between mode and gender was found, but an age group by mode interaction revealed that those in the 18-21 and 22-25-year age groups were more strongly affected than younger adolescents.ConclusionsThese findings suggest underestimates of mental health issues from interview survey formats, particularly for young adults. The results show how even a weak mode effect can have a large impact on mental health prevalence indicators. Researchers and policy makers need to be aware of the impact social desirability bias can have on mental health measures and consider taking steps to mitigate this effect.
| S-EPMC10559918 | biostudies-literature
Project description:IntroductionTobacco smoking is a leading cause of premature death and disability, and over 80% of the world's smokers live in low- or middle-income countries. The objective of this study is to assess demographic and socioeconomic determinants of current smoking in low- and middle-income countries.MethodsWe used data, from the World Health Survey in 48 low-income and middle-income countries, to explore the impact of demographic and socioeconomic factors on the current smoking status of respondents. The data from these surveys provided information on 213,807 respondents aged 18 years or above that were divided into 4 pooled datasets according to their sex and country income group. The overall proportion of current smokers, as well as the proportion by each relevant demographic and socioeconomic determinant, was calculated within each of the pooled datasets, and multivariable logistic regression was used to assess the association between current smoking and these determinants.ResultsThe odds of smoking were not equal in all demographic or socioeconomic groups. Some factors were fairly stable across the four datasets studied: for example, individuals were more likely to smoke if they had little or no education, regardless of if they were male or female, or lived in a low or a middle income country. Nevertheless, other factors, notably age and wealth, showed a differential effect on smoking by sex or country income level. While women in the low-income country group were twice as likely to smoke if they were in the lowest wealth quintile compared with the highest, the association was absent in the middle-income country group.ConclusionInformation on how smoking is distributed among low- or middle-income countries will allow policy makers to tailor future policies, and target the most vulnerable populations.
| S-EPMC3105024 | biostudies-literature
Project description:National Social Life, Health, and Aging Project (NSHAP) included five unique mental health measures in Waves 1 and 2 that researchers can use to measure the overall emotional health of participants: depressive symptoms, happiness-unhappiness, anxiety symptoms, perceived stress, and felt loneliness. For each, we detail the rationale for its development and explain how to score, analyze, and interpret results.NSHAP developed its measures by modifying traditional short-form scales to improve response efficiency and reduce respondent burden. Scoring protocols and interpretations were developed for each measure. U.S. population estimates for older adults born between 1920 and 1947 were generated using age-eligible samples from Waves 1 and 2.NSHAP's protocols yielded U.S. prevalence rates similar to other nationally representative studies of older adults and comparable between waves. Higher estimates of anxiety symptoms and perceived stress in Wave 2 compared with Wave 1 were explained by age, administration mode, and time period. Analytic strategies for longitudinal analyses are provided. In Wave 2, mental health generally was worse at older ages, with women having more symptoms at younger ages than men. Women had fewer anxiety symptoms at the oldest ages.NSHAP's mental health measures were successfully integrated into the project's survey and showed acceptable external reliability as well as moderately stable individual characteristics across the 5 years between Waves 1 and 2. Depressive symptoms and unhappiness may form a mental health cluster in the elderly, distinct from anxiety symptoms, perceived stress, and felt loneliness. Gender differences in age-specific patterns of mental health were evident using the exact age of participants rather than the traditional decade groupings. Administration mode and time period (between 2005-2006 and 2010-2011) were determined to be potential confounds that need to be accommodated in longitudinal analyses of aging, whereas sample composition was not an issue for interpreting mental health measures.
| S-EPMC4303090 | biostudies-other
Project description:ImportanceSocial determinants of health (SDOH) influence child health. However, most previous studies have used individual, small-set, or cherry-picked SDOH variables without examining unbiased computed SDOH patterns from high-dimensional SDOH factors to investigate associations with child mental health, cognition, and physical health.ObjectiveTo identify SDOH patterns and estimate their associations with children's mental, cognitive, and physical developmental outcomes.Design, setting, and participantsThis population-based cohort study included children aged 9 to 10 years at baseline and their caregivers enrolled in the Adolescent Brain Cognitive Development (ABCD) Study between 2016 and 2021. The ABCD Study includes 21 sites across 17 states.ExposuresEighty-four neighborhood-level, geocoded variables spanning 7 domains of SDOH, including bias, education, physical and health infrastructure, natural environment, socioeconomic status, social context, and crime and drugs, were studied. Hierarchical agglomerative clustering was used to identify SDOH patterns.Main outcomes and measuresAssociations of SDOH and child mental health (internalizing and externalizing behaviors) and suicidal behaviors, cognitive function (performance, reading skills), and physical health (body mass index, exercise, sleep disorder) were estimated using mixed-effects linear and logistic regression models.ResultsAmong 10 504 children (baseline median [SD] age, 9.9 [0.6] years; 5510 boys [52.5%] and 4994 girls [47.5%]; 229 Asian [2.2%], 1468 Black [14.0%], 2128 Hispanic [20.3%], 5565 White [53.0%], and 1108 multiracial [10.5%]), 4 SDOH patterns were identified: pattern 1, affluence (4078 children [38.8%]); pattern 2, high-stigma environment (2661 children [25.3%]); pattern 3, high socioeconomic deprivation (2653 children [25.3%]); and pattern 4, high crime and drug sales, low education, and high population density (1112 children [10.6%]). The SDOH patterns were distinctly associated with child health outcomes. Children exposed to socioeconomic deprivation (SDOH pattern 3) showed the worst health profiles, manifesting more internalizing (β = 0.75; 95% CI, 0.14-1.37) and externalizing (β = 1.43; 95% CI, 0.83-2.02) mental health problems, lower cognitive performance, and adverse physical health.ConclusionsThis study shows that an unbiased quantitative analysis of multidimensional SDOH can permit the determination of how SDOH patterns are associated with child developmental outcomes. Children exposed to socioeconomic deprivation showed the worst outcomes relative to other SDOH categories. These findings suggest the need to determine whether improvement in socioeconomic conditions can enhance child developmental outcomes.
| S-EPMC10580157 | biostudies-literature
Project description:BackgroundInterest in and funding for digital health interventions have rapidly grown in recent years. Despite the increasing familiarity with mobile health from regulatory bodies, providers, and patients, overarching research on digital health adoption has been primarily limited to morbidity-specific and non-US samples. Consequently, there is a limited understanding of what personal factors hold statistically significant relationships with digital health uptake. Moreover, this limits digital health communities' knowledge of equity along digital health use patterns.ObjectiveThis study aims to identify the social determinants of digital health tool adoption in Georgia.MethodsWeb-based survey respondents in Georgia 18 years or older were recruited from mTurk to answer primarily closed-ended questions within the following domains: participant demographics and health consumption background, telehealth, digital health education, prescription management tools, digital mental health services, and doctor finder tools. Participants spent around 15 to 20 minutes on a survey to provide demographic and personal health care consumption data. This data was analyzed with multivariate linear and logistic regressions to identify which of these determinants, if any, held statistically significant relationships with the total number of digital health tool categories adopted and which of these determinants had absolute relationships with specific categories.ResultsA total of 362 respondents completed the survey. Private insurance, residence in an urban area, having a primary care provider, fewer urgent emergency room (ER) visits, more ER visits leading to inpatient stays, and chronic condition presence were significantly associated with the number of digital health tool categories adopted. The separate logistic regressions exhibited substantial variability, with 3.5 statistically significant predictors per model, on average. Age, federal poverty level, number of primary care provider visits in the past 12 months, number of nonurgent ER visits in the past 12 months, number of urgent ER visits in the past 12 months, number of ER visits leading to inpatient stays in the past 12 months, race, gender, ethnicity, insurance, education, residential area, access to the internet, difficulty accessing health care, usual source of care, status of primary care provider, and status of chronic condition all had at least one statistically significant relationship with the use of a specific digital health category.ConclusionsThe results demonstrate that persons who are socioeconomically disadvantaged may not adopt digital health tools at disproportionately higher rates. Instead, digital health tools may be adopted along social determinants of health, providing strong evidence for the digital health divide. The variability of digital health adoption necessitates investing in and building a common framework to increase mobile health access. With a common framework and a paradigm shift in the design, evaluation, and implementation strategies around digital health, disparities can be further mitigated and addressed. This likely will begin with a coordinated effort to determine barriers to adopting digital health solutions.
| S-EPMC9768657 | biostudies-literature
Project description:CANADIAN COMMUNITY HEALTH NURSES (CHNS) WORK IN DIVERSE URBAN, RURAL, AND REMOTE SETTINGS SUCH AS: public health units/departments, home health, community health facilities, family practices, and other community-based settings. Research into specific learning needs of practicing CHNs is sparsely reported. This paper examines Canadian CHNs learning needs in relation to the 2008 Canadian Community Health Nursing Standards of Practice (CCHN Standards). It answers: What are the learning needs of CHNs in Canada in relation to the CCHN Standards? What are differences in CHNs' learning needs by: province and territory in Canada, work setting (home health, public health and other community health settings) and years of nursing practice?Between late 2008 and early 2009 a national survey was conducted to identify learning needs of CHNs based on the CCHN Standards using a validated tool.Results indicated that CHNs had learning needs on 25 of 88 items (28.4%), suggesting CHNs have confidence in most CCHN Standards. Three items had the highest learning needs with mean scores > 0.60: two related to epidemiology (means 0.62 and 0.75); and one to informatics (application of information and communication technology) (mean = 0.73). Public health nurses had a greater need to know about "…evaluating population health promotion programs systematically" compared to home health nurses (mean 0.66 vs. 0.39, p <0.010). Nurses with under two years experience had a greater need to learn "… advocating for healthy public policy…" than their more experienced peers (p = 0.0029). Also, NPs had a greater need to learn about "…using community development principles when engaging the individual/community in a consultative process" compared to RNs (p = 0.05). Many nurses were unsure if they applied foundational theoretical frameworks (i.e., the Ottawa Charter of Health Promotion, the Jakarta Declaration, and the Population Health Promotion Model) in practice.CHN educators and practice leaders need to consider these results in determining where to strengthen content in graduate and undergraduate nursing programs, as well as professional development programs. For practicing CHNs educational content should be tailored based on learner's years of experience in the community and their employment sector.
| S-EPMC4209163 | biostudies-other