scholarly journals Social Risk Factors for Medication Nonadherence: Findings from the CARDIA Study

2020 ◽  
Vol 44 (2) ◽  
pp. 232-243 ◽  
Author(s):  
Gabriela R. Oates ◽  
Lucia D. Juarez ◽  
Barbara Hansen ◽  
Catarina I. Kiefe ◽  
James M. Shikany
Keyword(s):  
Risk Factors ◽  
Chronic Stress ◽  
Low Income ◽  
Population Based ◽  
Financial Strain ◽  
Social Risk ◽  
Social Risk Factors ◽  
Medication Nonadherence ◽  
Annual Household Income ◽  
Cross Sectional

Objectives: Nonadherence to medications has been documented, but the combined effect of social risk factors on medication nonadherence has not been investigated. Methods: We conducted a cross-sectional analysis of data from the Coronary Artery Risk Development in Young Adults (CARDIA) study, a population-based prospective cohort. The sample (N = 1506) included subjects who at Year 20 (2005-06) were taking prescription medications and completed a 4-item Medication Adherence Scale. Social risk factors were education of high school or less, annual household income <$25,000, high financial strain, high chronic stress, low social support, and high social strain. Results: In a fully adjusted logistic regression model, income <$25,000 (OR = 2.37 [95% CI 1.12-4.98], p < .05) and high chronic stress (OR = 2.07 [95% CI 1.09-3.94], p < .05) were significantly associated with medication nonadherence. Individuals with ≥3 social risk factors had >3 times higher odds of nonadherence than counterparts with no social risk factors (OR = 3.26 [95% CI 1.72–6.19], p < .001). Conclusion: Low income and chronic stress are associated with medication nonadherence, and the odds of nonadherence increase with the accumulation of social risk factors. Findings may be used to develop risk prediction tools to identify individuals who can benefit from adherence-promoting interventions.

scholarly journals A study on predictors of low birth weight

2021 ◽  
Vol 8 (4) ◽  
pp. 689
Author(s):  
Jillela Mahesh Reddy ◽  
Sasi Priya Aravalli
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Signs And Symptoms ◽  
Educational Status ◽  
Premature Delivery ◽  
Social Risk ◽  
Social Risk Factors ◽  
Maternal Weight ◽  
Cross Sectional

Background: purpose of this study was to determine prevalence of maternal and social risk factors of low birth weight. The purpose of this study is to prevalence of maternal and social risk factors of low birth weight.Methods: The cross-sectional and comparative study was carried out by reviewing medical records of newborn delivered for one year in 250 newborn. Birth weight was categorized into two as low birth weight (birth weight <2500 grams), considered as cases, and normal birth weight (birth weight ≥2500 grams), considered as controls or the reference birth weight.Results: In our study mother’s age, socioeconomic, educational status, occupation as significant variables to be associated with low birth weight. caesarean section increased significantly with decrease in gestational age and maternal weight, history of abortion, iron supplementation Hypertension, anemia, and DM are Predictors of maternal and obstetric with low birth weight.Conclusions: Prompt identification of causes and prevention of premature delivery, proper knowledge of signs and symptoms of pregnancy complications, and preventing any physical trauma or its potential causes are recommended during pregnancy to prevent low birth weight. 

scholarly journals Epidemiology of lymphatic filariasis in Nilphamari district, Bangladesh

2016 ◽  
Vol 25 (2) ◽  
pp. 103-111
Author(s):  
Md Khalid Eakbal Anik ◽  
Hamida Khanum ◽  
Iftekhar Ahmed Rizvi ◽  
Shahela Alam ◽  
Hasina Banu
Keyword(s):  
Risk Factors ◽  
Lymphatic Filariasis ◽  
Low Income ◽  
Endemic Area ◽  
Income Group ◽  
Hospitalized Patients ◽  
Current Status ◽  
Social Risk ◽  
Age Group ◽  
Social Risk Factors

The present study was carried out in Filaria Hospital of Nilphamari to find out the current status of lymphatic filariasis (LF) in Nilphamari district: An endemic area for lymphatic filariasis in Bangladesh. The inhabitants of the villages, the outdoor patients and hospitalized patients in Filaria Hospital were selected for the study. The current status and the prevalence of filariasis in Nilphamari district was 4.43%, in Nilphamari Sadar was 3.25% and 4.10% in Sayedpur, 4.82% in Domar, 5.86% in Dimla, 3.85% in Joldhaka and 4.70% in Kishoreganj. It was found that 58.84% filarial patients were male and 41.16% were female; highest prevalence of the disease was observed at the age group of 41 - 60 years. Illiteracy and poverty are the important social risk factors of this disease , about 45% patients were illiterate. Most of the infected patients were very poor and belong to low income group. Only 40.5% patients knew about filariasis. Only 26.1% patients used mosquito curtains. During the study period, it was found that 66.15% of hospitalized filarial patients were male and 33.85% were female, in the Filaria Hospital of Nilphamari. The highest outdoor patients in Nilphamari Hospital were of age group 40 - 59 years and 76.22% patients had hydrocele. Dhaka Univ. J. Biol. Sci. 25(2): 103-111, 2016 (July)

scholarly journals Association between Apoϵ4 allele and cardiometabolic and social risk factors with cognitive impairment in elderly population from Bogota

2021 ◽  
Vol 15 (4) ◽  
pp. 497-509
Author(s):  
Olga Lucia Pedraza ◽  
Isis Camacho ◽  
Fabio Alexander Sierra ◽  
Rubio-Gómez Cladelis ◽  
Ana Maria Salazar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Elderly Population ◽  
Cross Sectional Study ◽  
Interquartile Range ◽  
Social Risk ◽  
Allele Carrier ◽  
Social Risk Factors ◽  
Cross Sectional ◽  
The Relationship

ABSTRACT Being an ϵ4 carrier in the Apoϵ gene has been suggested as a modifying factor for the interaction between cardio-metabolic, social risk factors, and the development of cognitive impairment. Objective: The main objective of this study was to assess the existence of such interaction in a sample of Bogota’s elderly population. Methods: A cross-sectional study was conducted with 1,263 subjects older than 50 years. Each participant was diagnosed by consensus, after neuropsychological and neuropsychiatric evaluations, under a diagnosis of normal cognition, mild cognitive impairment (MCI) according to Petersen’s criteria, or dementia according to DSM-IV criteria. Apoϵ was typified and an analysis of MoCA test was performed in each group carrying or not ϵ4 allele. Results: Our study showed that 75% were women with a median age of 68 years (interquartile range 62–74 years) and a median schooling for 6 years (interquartile range 4–12 years). Dementia was related to low education level of ≤5 years OR=11.20 (95%CI 4.99–25.12), high blood pressure (HBP) OR=1.45 (95%CI 1.03–2.05), and age over 70 years OR=7.68 (95%CI 3.49–16.90), independently of being or not an ϵ4 allele carrier. Diabetic subjects with dementia carrying ϵ4 allele showed a tendency to exhibit lower scores on the MoCA test, when compared with noncarriers’ diabetic subjects with dementia. Conclusions: The presence of ϵ4 allele does not modify the relationship between cognitive impairment and the different cardio-metabolic and social risk factors, except in diabetic subjects ϵ4 carriers with dementia who showed a tendency to exhibit lower scores of the MoCA test, when compared with noncarriers’ diabetic subjects with dementia.

scholarly journals Population-based estimates of post-acute sequelae of SARS-CoV-2 infection (PASC) prevalence and characteristics: A cross-sectional study

2021 ◽  
Author(s):  
Jana L. Hirschtick ◽  
Andrea R. Titus ◽  
Elizabeth Slocum ◽  
Laura E. Power ◽  
Robert E. Hirschtick ◽  
...  
Keyword(s):  
Low Income ◽  
Smoking Status ◽  
Prevalence Ratio ◽  
Population Based ◽  
Outcome Data ◽  
Cross Sectional Survey ◽  
Annual Household Income ◽  
Cross Sectional ◽  
Persistent Symptoms ◽  
Initial Symptoms

AbstractImportanceEmerging evidence suggests many people have persistent symptoms after acute COVID-19 illness.ObjectiveTo estimate the prevalence and correlates of persistent COVID-19 symptoms 30 and 60 days post onset using a population-based sample.Design & SettingThe Michigan COVID-19 Recovery Surveillance Study is a population-based cross-sectional survey of a probability sample of adults with confirmed COVID-19 in the Michigan Disease Surveillance System (MDSS). Respondents completed a survey online or via telephone in English, Spanish, or Arabic between June - December 2020.ParticipantsLiving non-institutionalized adults (aged 18+) in MDSS with COVID-19 onset through mid-April 2020 were eligible for selection (n=28,000). Among 2,000 adults selected, 629 completed the survey. We excluded 79 cases during data collection due to ineligibility, 6 asymptomatic cases, 7 proxy reports, and 24 cases missing outcome data, resulting in a sample size of 593. The sample was predominantly female (56.1%), aged 45 and older (68.2%), and Non-Hispanic White (46.3%) or Black (34.8%).ExposuresDemographic (age, sex, race/ethnicity, and annual household income) and clinical factors (smoking status, body mass index, diagnosed comorbidities, and illness severity).Main outcomes and MeasuresWe defined post-acute sequelae of SARS-CoV-2 infection (PASC) as persistent symptoms 30+ days (30-day COVID-19) or 60+ days (60-day COVID-19) post COVID-19 onset.Results30- and 60-day COVID-19 were highly prevalent (52.5% and 35.0%), even among respondents reporting mild symptoms (29.2% and 24.5%) and non-hospitalized respondents (43.7% and 26.9%, respectively). Low income was statistically significantly associated with 30-day COVID-19 in adjusted models. Respondents reporting very severe (vs. mild) symptoms had 2.25 times higher prevalence of 30-day COVID-19 (Adjusted Prevalence Ratio [aPR] 2.25, 95% CI 1.46-3.46) and 1.71 times higher prevalence of 60-day COVID-19 (aPR 1.71, 95% 1.02-2.88). Hospitalized (vs. non-hospitalized) respondents had about 40% higher prevalence of both 30-day (aPR 1.37, 95% CI 1.12-1.69) and 60-day COVID-19 (aPR 1.40, 95% CI 1.02-1.93).Conclusions and RelevancePASC is highly prevalent among cases with severe initial symptoms, and, to a lesser extent, cases with mild and moderate symptoms.

scholarly journals Sickness Presence among Health Care Professionals: A Cross Sectional Study of Health Care Professionals in Slovenia

2020 ◽  
Vol 17 (1) ◽  
pp. 367 ◽  
Author(s):  
Alenka Skerjanc ◽  
Metoda Dodic Fikfak
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Sick Leave ◽  
Health Care Professionals ◽  
Cross Sectional Study ◽  
Social Risk ◽  
Sectional Study ◽  
Social Risk Factors ◽  
Cross Sectional ◽  
Sickness Presence

Background and objectives: Presenteeism is a relatively new phenomenon that people, despite complaints and ill health that should prompt them to rest and take sick leave, go to work in any case. The highest sickness presence is largely to be found in the care and welfare and educational sectors. The aim of the study is to investigate the relations between different factors and sickness presence among health care professionals. Materials and Methods: A cross-sectional study was conducted at the largest hospital in Slovenia involving 5865 health care professionals employed at the University Medical Centre Ljubljana in the period between 1 January 2010 and 31 December 2010. Logistic regression methods were used to assess the associations between risk factors and their interactions and sickness presence. Results: Besides high odds for sickness presence in multivariate modelling for acute (OR = 359.7; 95%CI = 89.1–1452.8) and chronic disease (OR = 722.5; 95%CI = 178.5–2924.5) the highest odds were calculated for poor self-related health (OR = 3.0; 95%CI = 1.9–4.8), no possibility of replacement (OR = 1.9; 95%CI = 1.5–2.3), sickness absence > two times a year (OR = 1.6; 95%CI = 1.2–2.1), disabled workers (OR = 1.6; 95%CI = 1.0–2.5), and lower salary when on sick leave (OR = 1.5; 95%CI = 120–1.9). Risk factors interactions were not found to be associated with sickness presence among health care workers. Conclusions: The pre-requisite for higher sickness presence is workers’ bad health. The results indicate that sickness presence was associated with psycho social risk factors at work and their economic consequences. Continued sickness presence might have negative rather than positive consequences on work and health care professionals’ health in the future. Sickness presence needs to be taken into account for health care organizers.

Population-based, spatiotemporal modeling of social risk factors and mortality from schistosomiasis in Brazil between 1999 and 2018

Acta Tropica ◽  
2021 ◽  
pp. 105897
Author(s):  
Wandklebson Silva da Paz ◽  
Malcolm S. Duthie ◽  
Amélia Ribeiro de Jesus ◽  
Karina Conceição G.M. de Araújo ◽  
Allan Dantas dos Santos ◽  
...  
Keyword(s):  
Risk Factors ◽  
Population Based ◽  
Social Risk ◽  
Spatiotemporal Modeling ◽  
Social Risk Factors

scholarly journals Examining the association of social risk with heart failure readmission in the Veterans Health Administration

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Charlie M. Wray ◽  
Marzieh Vali ◽  
Louise C. Walter ◽  
Lee Christensen ◽  
Wendy Chapman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Support ◽  
Substance Abuse ◽  
Low Income ◽  
Model Performance ◽  
Social Risk ◽  
Veterans Health ◽  
Social Risk Factors ◽  
Increased Risk ◽  
The Impact

Abstract Background Previous research has found that social risk factors are associated with an increased risk of 30-day readmission. We aimed to assess the association of 5 social risk factors (living alone, lack of social support, marginal housing, substance abuse, and low income) with 30-day Heart Failure (HF) hospital readmissions within the Veterans Health Affairs (VA) and the impact of their inclusion on hospital readmission model performance. Methods We performed a retrospective cohort study using chart review and VA and Centers for Medicare and Medicaid Services (CMS) administrative data from a random sample of 1,500 elderly (≥ 65 years) Veterans hospitalized for HF in 2012. Using logistic regression, we examined whether any of the social risk factors were associated with 30-day readmission after adjusting for age alone and clinical variables used by CMS in its 30-day risk stratified readmission model. The impact of these five social risk factors on readmission model performance was assessed by comparing c-statistics, likelihood ratio tests, and the Hosmer-Lemeshow goodness-of-fit statistic. Results The prevalence varied among the 5 risk factors; low income (47 % vs. 47 %), lives alone (18 % vs. 19 %), substance abuse (14 % vs. 16 %), lacks social support (2 % vs. <1 %), and marginal housing (< 1 % vs. 3 %) among readmitted and non-readmitted patients, respectively. Controlling for clinical factors contained in CMS readmission models, a lack of social support was found to be associated with an increased risk of 30-day readmission (OR 4.8, 95 %CI 1.35–17.88), while marginal housing was noted to decrease readmission risk (OR 0.21, 95 %CI 0.03–0.87). Living alone (OR: 0.9, 95 %CI 0.64–1.26), substance abuse (OR 0.91, 95 %CI 0.67–1.22), and having low income (OR 1.01, 95 %CI 0.77–1.31) had no association with HF readmissions. Adding the five social risk factors to a CMS-based model (age and comorbid conditions; c-statistic 0.62) did not improve model performance (c-statistic: 0.62). Conclusions While a lack of social support was associated with 30-day readmission in the VA, its prevalence was low. Moreover, the inclusion of some social risk factors did not improve readmission model performance. In an integrated healthcare system like the VA, social risk factors may have a limited effect on 30-day readmission outcomes.

scholarly journals Prevalence of psoriasis and associated risk factors in China: protocol of a nationwide, population-based, cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e027685 ◽  
Author(s):  
Jing Li ◽  
Meiwen Yu ◽  
Ya-wen Wang ◽  
Jia-an Zhang ◽  
Mei Ju ◽  
...  
Keyword(s):  
Risk Factors ◽  
Low Income ◽  
Sampling Design ◽  
Population Based ◽  
Cross Sectional Study ◽  
World Health ◽  
Sectional Study ◽  
Cross Sectional ◽  
World Health Assembly Resolution ◽  
Increased Risk

IntroductionPsoriasis is a chronic inflammatory skin disease which could lead to serious complications and increased risk of cardiovascular diseases. Psoriasis was recognised as a serious non-communicable disease with important public health impact by member states in the World Health Assembly resolution in 2014. However, data on psoriasis epidemiology are scarce worldwide, especially from low-income and middle-income countries. Only a few epidemiological studies on psoriasis have been conducted in parts of China, mostly without appropriate sampling design and data analysis.AimThis study aims to obtain the prevalence of psoriasis in China and relevant risk factors through a nationwide, population-based study with adequate statistical design.Methods and analysisThis is a cross-sectional study to be conducted in 60 sites across China. A multistage, cluster random sampling design is used. Participants should have local household registration or be residing in the survey area for at least 6 months during the past year. The presence of psoriasis is ascertained independently by two certified dermatologists. If any discrepancies in the diagnosis occur, consensus will be met via discussion. All participants will be interviewed with a questionnaire to collect sociodemographic and disease information. The field survey will be implemented from October 2018 to June 2019. All statistical analyses will be conducted using survey procedures in SAS V.9.2 software to adjust for the complex sample design.Ethics and disseminationThe study has been reviewed and approved by the ethics committee of the Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College (Nanjing, China). A written informed consent will be obtained from all participants before the questionnaire survey. Findings of the study will be disseminated through publications in peer-reviewed journals.

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