scholarly journals EDUCATION, RACE-ETHNICITY, AND MULTI-MORBIDITY AMONG ADULTS AGES 30-64 IN THE NATIONAL HEALTH INTERVIEW STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S353-S353
Author(s):  
Vicki Johnson-Lawrence ◽  
Anna Zajacova ◽  
Rodlescia Sneed
Keyword(s):  
National Health ◽  
Well Being ◽  
Population Based ◽  
Bachelor's Degree ◽  
Cross Sectional ◽  
Health Interview ◽  
Race Ethnicity ◽  
Demographic Risk ◽  
Demographic Risk Factors ◽  
The Life Course

Abstract Demographic risk factors for multimorbidity (living with 2+ chronic conditions) have been identified in numerous population-based studies of older adults; however, there is less data on younger populations, despite the fact that approximately 24% of US adults age 18+ have multimorbidity. To examine the associations of education and race/ethnicity with mutimorbidity among adults aged 30-64 using cross-sectional data from the 2002-2014 National Health Interview Surveys. Compared to having a bachelor’s degree or higher, completing less than HS (OR=1.58, 95% CI = 1.50-1.66) or HS/some college (OR=1.32, 95% CI = 1.27-1.37) were both associated with increased odds of multimorbidity. Non-Hispanic Blacks had greater odds of multimorbidity (OR=1.07, 95% CI = 1.02-1.11) compared to Non-Hispanic Whites with comparable characteristics. Reducing multimorbidity through health promotion efforts across the socioeconomic spectrum and earlier in the life course will be a requirement to age successfully and support overall well-being in the aging US population.

scholarly journals Serological surveys to inform SARS-CoV-2 epidemic curve: a cross-sectional study from Odisha, India

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jaya Singh Kshatri ◽  
◽  
Debdutta Bhattacharya ◽  
Srikanta Kanungo ◽  
Sidhartha Giri ◽  
...  
Keyword(s):  
Age Groups ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Epidemic Curve ◽  
Significant Difference ◽  
Asymptomatic Infections ◽  
Demographic Risk ◽  
Demographic Risk Factors

AbstractThis was a population based cross-sectional study carried out to estimate and compare the seroprevalence, hidden prevalence and determine the demographic risk factors associated with SARS-CoV-2 infection among adults in the three largest cities of Odisha, India, and ascertain the association with the progression of the epidemic. The survey carried out in August 2020 in the three largest cities of the state of Odisha, India. Blood samples were collected from the residents using random sampling methods and tested for anti- SARS CoV-2 antibodies using an automated CLIA platform. A total of 4146 participants from the 3 cities of Bhubaneswar (BBS), Berhampur (BAM) and Rourkela (RKL) participated. The female to male participation ratio was 5.9:10 across the three cities. The gender weighted seroprevalence across the three cities was 20.78% (95% CI 19.56–22.05%). While females reported a higher seroprevalence (22.8%) as compared to males (18.8%), there was no significant difference in seroprevalence across age groups. A majority of the seropositive participants were asymptomatic (90.49%). The case to infection ratio on the date of serosurvey was 1:6.6 in BBS, 1:61 in BAM and 1:29.8 in RKL. The study found a high seroprevalence against COVID-19 in urban Odisha as well as high numbers of asymptomatic infections. The epidemic curves had a correlation with the seroprevalence.

scholarly journals Skin aging risk factors: A nationwide population study in Mongolia

2021 ◽  
Author(s):  
Tuya Nanzadsuren ◽  
Tuul Myatav ◽  
Amgalanbaatar Dorjkhuu ◽  
Mandukhai Ganbat ◽  
Chuluunbileg Batbold ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sun Exposure ◽  
Skin Surface ◽  
Population Based ◽  
Skin Aging ◽  
World Population ◽  
Cross Sectional ◽  
Factors Associated ◽  
Demographic Risk ◽  
Demographic Risk Factors

The world population is aging and no country is immune to the consequences. We are not aware of any country-specific skin aging risk factors data for the Mongolian people. Thus, we aimed to study the risk factors associated with skin aging in the Mongolian population.  A population-based cross-sectional study of 2720 study participants 18 years of age and older was performed evaluating the severity of skin aging based on cutaneous microtopography. Questionnaire data and skin physiological measurements were obtained. The odds ratios for skin aging grades associated with risk factors were estimated using ordinal logistic regression. Study participant's mean age was 45 years, ranging from 18 to 87. After adjustment for known risk factors, skin aging was associated with demographic risk factors such as increasing age (aOR=1.19, 95% CI 1.18-1.20), living in an urban area (aOR=1.31, 95% CI 1.12-1.55) and working outside (aOR=1.44, 95% CI 0.88-2.39) and lifestyle factors including non-usage of sunscreen cream (aOR=1.09 95% CI 0.87-1.37), being a smoker (aOR=1.32, 95% CI 1.09-1.61), having a higher body mass index (BMI) (aOR=1.04, 95% CI 1.02-1.06) and higher levels of sun exposure time (aOR=1.03, 95% CI 1.00-1.06 ) were significantly associated with higher skin aging grades. Having dry (aOR=1.94, 95% CI 1.45-2.59) and combination skin (aOR=1.62, 95% CI 1.22-2.16) types were also independent risk factors associated with skin aging. Having very low skin surface moisture at the T-zone (aOR=2.10, 95% CI 1.42-3.11) and U-zone (aOR=1.25, 95% CI 0.95-1.65) were significantly related to skin aging. Older age, urban living, harsh working conditions, living in a ger district were independent demographic risk factors related to skin aging. Not using sunscreen cream, smoking, higher BMI, greater levels of sun exposure were significant lifestyle risk factors. Having a skin type other than normal was a physiologic risk factor for skin aging.

scholarly journals Healthcare provider counselling for weight management behaviours among adults with overweight or obesity: a cross-sectional analysis of National Health and Nutrition Examination Survey, 2011–2018

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e039295
Author(s):  
Mary L. Greaney ◽  
Steven A. Cohen ◽  
Furong Xu ◽  
Christie L Ward-Ritacco ◽  
Deborah Riebe
Keyword(s):  
Older Adults ◽  
National Health ◽  
Weight Status ◽  
Calorie Intake ◽  
Nutrition Examination Survey ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
Race Ethnicity ◽  
Sectional Analysis ◽  
Overweight Or Obesity

ObjectivesTo determine if adults with overweight or obesity received counselling from their healthcare providers (HCPs) to lose weight and/or adopt healthful behaviours associated with weight loss, and whether they took action on their HCPs’ recommendations.DesignCross-sectional analysis of 2011–2018 National Health and Nutrition Examination Survey (NHANES) data.SampleNHANES respondents aged 18+ who were overweight/obese and had seen an HCP in the previous 12 months (n=13 158).MethodsRespondents reported if their HCPs recommended they control/lose weight, increase exercise/physical activity (PA) and/or reduce fat/calorie intake, and if they adopted the offered recommendation(s). Weighted logistic regression models examined receipt of HCP counselling by sex, age, race/ethnicity, and weight status accounting for demographic characteristics and complex sampling. Similar analyses examined reported adoption of HCPs’ recommendations.ResultsThe sample was 53.1% women, 45.0% were overweight and 55.0% had obesity. In total, 40.4% received counselling to control/lose weight, 49.5% to increase exercise/PA and 38.9% to reduce fat/calorie intake. The following groups were less likely (p<0.001) to receive counselling: men; younger adults (aged 18–39) versus middle-aged (aged 40–64) and older adults (aged 65+); White versus Black and Hispanic respondents; overweight respondents versus respondents with obesity. Approximately half of those advised to make changes reported doing so (53.6% controlled/lost weight, 57.3% increased exercise/PA, 51.8% reduced fat/calorie intake). Differences in the adoption of recommendations were identified by sex, age group, race/ethnicity and weight status (all p<0.05); women, middle-aged and older adults, Black and Hispanic respondents and individuals with obesity were more likely to adopt one or more recommendations.ConclusionMost respondents did not receive HCP counselling, and approximately half of those who received counselling reported taking action. HCPs may need training to provide counselling and to offer recommendations tailored to the social contexts of populations less likely to adopt weight control related recommendations.

scholarly journals Prevalence of Multimorbidity of Chronic Noncommunicable Diseases in Brazil: Population-Based Study (Preprint)

2021 ◽  
Author(s):  
Xin Shi ◽  
Simone Maria da Silva Lima ◽  
Caroline Maria de Miranda Mota ◽  
Ying Lu ◽  
Randall S Stafford ◽  
...  
Keyword(s):  
Chronic Diseases ◽  
Household Survey ◽  
Well Being ◽  
National Sample ◽  
Population Based ◽  
Community Services ◽  
Noncommunicable Diseases ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
Multiple Chronic Diseases

BACKGROUND Multimorbidity is the co-occurrence of two or more chronic diseases. OBJECTIVE This study, based on self-reported medical diagnosis, aims to investigate the dynamic distribution of multimorbidity across sociodemographic levels and its impacts on health-related issues over 15 years in Brazil using national data. METHODS Data were analyzed using descriptive statistics, hypothesis tests, and logistic regression. The study sample comprised 679,572 adults (18-59 years of age) and 115,699 elderly people (≥60 years of age) from the two latest cross-sectional, multiple-cohort, national-based studies: the National Sample Household Survey (PNAD) of 1998, 2003, and 2008, and the Brazilian National Health Survey (PNS) of 2013. RESULTS Overall, the risk of multimorbidity in adults was 1.7 times higher in women (odds ratio [OR] 1.73, 95% CI 1.67-1.79) and 1.3 times higher among people without education (OR 1.34, 95% CI 1.28-1.41). Multiple chronic diseases considerably increased with age in Brazil, and people between 50 and 59 years old were about 12 times more likely to have multimorbidity than adults between 18 and 29 years of age (OR 11.89, 95% CI 11.27-12.55). Seniors with multimorbidity had more than twice the likelihood of receiving health assistance in community services or clinics (OR 2.16, 95% CI 2.02-2.31) and of being hospitalized (OR 2.37, 95% CI 2.21-2.56). The subjective well-being of adults with multimorbidity was often worse than people without multiple chronic diseases (OR=12.85, 95% CI: 12.07-13.68). These patterns were similar across all 4 cohorts analyzed and were relatively stable over 15 years. CONCLUSIONS Our study shows little variation in the prevalence of the multimorbidity of chronic diseases in Brazil over time, but there are differences in the prevalence of multimorbidity across different social groups. It is hoped that the analysis of multimorbidity from the two latest Brazil national surveys will support policy making on epidemic prevention and management.

scholarly journals Acute Risk of Suicide and Suicide Attempts Associated with Recent Diagnosis of Mental Disorders: A Population-Based, Propensity Score—Matched Analysis

2014 ◽  
Vol 59 (10) ◽  
pp. 531-538 ◽  
Author(s):  
Jason R Randall ◽  
Randy Walld ◽  
Greg Finlayson ◽  
Jitender Sareen ◽  
Patricia J Martens ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Suicide Attempts ◽  
Population Based ◽  
Initial Diagnosis ◽  
First Year ◽  
Region Of Residence ◽  
Recent Diagnosis ◽  
Demographic Risk ◽  
Demographic Risk Factors ◽  
Anxiety Depression

Objective: To determine the degree of risk during the first year after diagnosis with a mental illness. Methods: We used propensity scoring to create a matched sample for all identified suicide attempts and suicide deaths in the province of Manitoba from 1996 to 2009. This study identified 2100 suicide deaths and 8641 attempted suicides. Three control subjects were identified for every case and matched on age, sex, income decile, region of residence, and marital status. Five categories of physician-diagnosed mental disorders were tested: schizophrenia, anxiety, depression, dementia, and substance abuse. Logistic regression was used to determine the risk for suicide attempts and suicide deaths overall, and within 3 time periods since initial diagnosis: 1 to 90 days, 91 to 364 days, and 365 or more days. Results: All disorders, except dementia, were independently related to death. All disorders were related to suicide attempts. The risk of dying by suicide was particularly high within the first 90 days after initial diagnosis for many disorders, including depression (adjusted odds ratio [AOR] 7.33; 95% CI 4.76 to 11.3), substance use disorders (AOR 4.07; 95% CI 2.43 to 6.82), and schizophrenia (AOR 20.91; 95% CI 2.55 to 172). Depression and anxiety disorders had elevated risk in the first year for suicide attempts. Conclusions: These data suggest that several mental disorders independently increase the risk of suicide attempts and death by suicide after controlling for all mental disorders and demographic risk factors. Clinicians should be aware of the heightened risk of suicide and suicidal behaviour within the first 3 months after initial diagnosis.

scholarly journals SOCIAL STRATIFICATION AND TRAJECTORIES OF LIVING ARRANGEMENTS AMONG OLDER AMERICANS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S281-S281
Author(s):  
Jersey Liang ◽  
BoRin Kim ◽  
Xiao Xu ◽  
James Raymo ◽  
Mary Beth Ofstedal ◽  
...  
Keyword(s):  
Old Age ◽  
Social Stratification ◽  
Living Arrangements ◽  
Well Being ◽  
Cross Sectional ◽  
Term Care ◽  
Older Americans ◽  
Rate Of Increase ◽  
Race Ethnicity ◽  
Young Old

Abstract Living arrangements are critical to intra-family exchanges that affect older persons’ health and well-being. The conventional conceptualization of living arrangements has emphasized coresidence with children, while overlooking proximate residence from children. Additionally, existing research often relied on cross-sectional data which confound intrapersonal differences with interpersonal variations. This study examined the dynamics of living arrangements in old age by depicting their trajectories as a function of social stratification (i.e., age, gender, race/ethnicity, education, income, and wealth). Data came from the Health and Retirement Study and included a national sample of 7,822 older Americans with at least one living child from 1998 to 2014. Multi-level mixed effects models were employed to analyze the trajectories of living arrangements and their key determinants for the young-old and the old-old separately. Among the young-old (age 65-74, N=4,917), the probability of coresidence increased slightly over time, whereas the probabilities of proximate residence and distant residence decreased slightly and remained stable respectively, and the risk for institutionalization increased moderately. Similar but more accelerated trajectories were observed among the old-old (age 75+, N=2,905). Age, gender, race/ethnicity, education, income, and asset were significantly associated with not only the levels of the probabilities of various living arrangements but also their slopes. For instance, among the old-old, Hispanics had a lower level of nursing home residence as well as a slower rate of increase in the risk of institutionalization than Whites. These findings may inform public policies to strengthen family-based support and long-term care for older people.

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