Individual-Level Determinants of Lifestyle Behavioral Changes during COVID-19 Lockdown in the United States: Results of an Online Survey.
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ABSTRACT:
SUBMITTER: Zhang X
PROVIDER: S-EPMC8073729 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:COVID-19 is an unprecedented global pandemic. On 12 March 2020, a lockdown order was issued in Italy in attempt to contain the health crisis. The study aimed to assess the impact of the COVID-19 lockdown on diet, physical activity, sleep quality, and distress in an Italian cohort. An online anonymous interview, which included validated questionnaires was created to compare lifestyle habits pre- and during the lockdown. Data analysis from 604 subjects with a mean age of 29.8 years was carried out using multivariate analysis. Compared to pre-COVID-19 times, 67% of people changed their eating habits and increased consumption of foods containing added sugars. Women and men with low adherence to the Mediterranean Diet (MedDiet) were more likely to be physically inactive (p < 0.0001 and p < 0.01, respectively). Results from logistic regression showed a three times higher risk of being inactive if adherence to the MedDiet was low (p < 0.0001), especially in men between 26 and 35 years. Lower levels of distress were reported in males who were physically active (89%) (p < 0.001). Our findings may help to identify effective lifestyle interventions during restrictive conditions.
| S-EPMC8230113 | biostudies-literature
Project description:Mass casualty decontamination is a public health intervention that would be employed by emergency responders following a chemical, biological, or radiological incident. The decontamination of large numbers of casualties is currently most often performed with water to remove contaminants from the skin surface. An online survey was conducted to explore US fire departments' decontamination practices and their preparedness for responding to incidents involving mass casualty decontamination. Survey respondents were asked to provide details of various aspects of their decontamination procedures, including expected response times to reach casualties, disrobing procedures, approaches to decontamination, characteristics of the decontamination showering process, provision for special populations, and any actions taken following decontamination. The aim of the survey was to identify any differences in the way in which decontamination guidance is implemented across US states. Results revealed that, in line with current guidance, many US fire departments routinely use the "ladder-pipe system" for conducting rapid, gross decontamination of casualties. The survey revealed significant variability in ladder-pipe construction, such as the position and number of fire hoses used. There was also variability in decontamination characteristics, such as water temperature and water pressure, detergent use, and shower duration. The results presented here provide important insights into the ways in which implementation of decontamination guidance can vary between US states. These inconsistencies are thought to reflect established perceived best practices and local adaptation of response plans to address practical and logistical constraints. These outcomes highlight the need for evidence-based national guidelines for conducting mass casualty decontamination.
| S-EPMC4976249 | biostudies-literature
Project description:Importance:An association between social and neighborhood characteristics and health outcomes has been reported but remains poorly understood owing to complex multidimensional factors that vary across geographic space. Objectives:To quantify social determinants of health (SDOH) as multiple dimensions across the continental United States (the 48 contiguous states and the District of Columbia) at a small-area resolution and to examine the association of SDOH with premature mortality within Chicago, Illinois. Design, Setting, and Participants:In this cross-sectional study, census tracts from the US Census Bureau from 2014 were used to develop multidimensional SDOH indices and a regional typology of the continental United States at a small-area level (n?=?71?901 census tracts with approximately 312 million persons) using dimension reduction and clustering machine learning techniques (unsupervised algorithms used to reduce dimensions of multivariate data). The SDOH indices were used to estimate age-adjusted mortality rates in Chicago (n?=?789 census tracts with approximately 7.5 million persons) with a spatial regression for the same period, while controlling for violent crime. Main Outcomes and Measures:Fifteen variables, measured as a 5-year mean, were selected to characterize SDOH as small-area variations for demographic characteristics of vulnerable groups, economic status, social and neighborhood characteristics, and housing and transportation availability at the census-tract level. This SDOH data matrix was reduced to 4 indices reflecting advantage, isolation, opportunity, and mixed immigrant cohesion and accessibility, which were then clustered into 7 distinct multidimensional neighborhood typologies. The association between SDOH indices and premature mortality (defined as death before age 75 years) in Chicago was measured by years of potential life lost and aggregated to a 5-year mean. Data analyses were conducted between July 1, 2018, and August 30, 2019. Results:Among the 71?901 census tracts examined across the continental United States, a median (interquartile range) of 27.2% (47.1%) of residents had minority status, 12.1% (7.5%) had disabilities, 22.9% (7.6%) were 18 years and younger, and 13.6% (8.1%) were 65 years and older. Among the 789 census tracts examined in Chicago, a median (interquartile range) of 80.4% (56.3%) of residents had minority status, 10.2% (8.2%) had disabilities, 23.2% (10.9%) were 18 years and younger, and 9.5% (7.1%) were 65 years and older. Four SDOH indices accounted for 71% of the variance across all census tracts in the continental United States in 2014. The SDOH neighborhood typology of extreme poverty, which is of greatest concern to health care practitioners and policy advocates, comprised only 9.6% of all census tracts across the continental United States but characterized small areas of known public health crises. An association was observed between all SDOH indices and age-adjusted premature mortality rates in Chicago (R2?=?0.63; P?<?.001), even after accounting for violent crime and spatial structures. Conclusions and Relevance:The modeling of SDOH as multivariate indices rather than as a singular deprivation index may better capture the complexity and spatial heterogeneity underlying SDOH. During a time of increased attention to SDOH, this analysis may provide actionable information for key stakeholders with respect to the focus of interventions.
| S-EPMC6991288 | biostudies-literature
Project description:BackgroundThe COVID-19 crisis is likely to have had wide-ranging consequences on lifestyle behaviours and may have affected weight management. The objective of the present study was to examine perceptions of how weight-related lifestyle changed in social lockdown among UK adults compared with before the emergence of the COVID-19 crisis.MethodsAs part of an online cross-sectional survey conducted during social lockdown in the United Kingdom, 723 UK adults reported on the extent to which their eating (healthiness of diet, frequency of bingeing on food), physical activity, sleep and alcohol consumption had changed since the emergence of the COVID-19 crisis and completed measures of current psychological well-being.ResultsAlthough both improvements and declines in weight gain protective behaviours were reported, 79% of participants reported a decline in one or more weight gain protective behaviours. Both participants with a diagnosis of psychiatric illness or obesity (body mass index [BMI] ≥ 30) were most likely to report declines in weight gain protective behaviours and show an overall profile of weight management behaviours worsening. Participants experiencing high levels of stress also reported reductions in more weight gain protective behaviours.ConclusionsLifestyle behaviours associated with weight gain are likely to have been affected by the COVID-19 crisis. Reductions to the perceived frequency by which people engage in behaviours usually associated with successful weight management appear to be common, and people living with obesity and mental health problems may be at increased risk.
| S-EPMC7746963 | biostudies-literature
Project description:BackgroundFew studies have assessed multidimensional models for predicting successful aging that incorporate both physical and cognitive-psychosocial elements among minority populations. This study aimed to establish a comprehensive lifestyle behavioral factors (cLBF) score and an integrative successful aging (ISA) score and explore their associations among older Puerto Rican adults.MethodsData were assessed from 889 adults (45-75 years) participating in the longitudinal (baseline and 2-year follow-up) Boston Puerto Rican Health Study. Higher cLBF score (range 0-10) indicates healthier behaviors (nonsmoking, lack of sedentarism, physical activity, high diet quality, and adequate sleep). The physical domain score of ISA included 8 components (functional impairment, hypertension, diabetes, cancer, cardiovascular disease, respiratory disease, arthritis, osteoporosis) and ranged 0-11. The cognitive-psychosocial domain of ISA included 5 components (cognitive impairment, depressive symptoms, social support, perceived stress, and self-rated health) and ranged 0-10. The sum of both domains comprised the ISA score, ranging 0-21. Higher scores of ISA and its domains indicate more successful aging.ResultsAt 2 years, the mean ± SD of cLBF score was 4.9 ± 1.8, and ISA was 10.1 ± 3.3. In multivariable-adjusted models, cLBF score was significantly and positively associated with 2-year change in overall ISA (β [95% CI]: 0.15 [0.07, 0.24] points), in physical domain (0.09 [0.04, 0.13] points), and in cognitive-psychosocial domain (0.08 [0.02, 0.14] points).ConclusionsMaintaining healthier lifestyle behaviors may contribute to successful aging through both physical and cognitive-psychosocial domains. The results support using a multidimensional definition of successful aging in Puerto Ricans and evaluating it in other populations.
| S-EPMC8248899 | biostudies-literature
Project description:ObjectiveTo evaluate if community-level HIV PrEP coverage is correlated with individual sexual behaviors.DesignWe used demographic, behavioral, and sexual network data from ARTnet, a 2017-2019 study of United States MSM.MethodsMultivariable regression models with a Bayesian modeling framework were used to estimate associations between area-level PrEP coverage and seven sexual behavior outcomes [number of total, main, and casual male partners (network degree); count of one-time partnerships; consistent condom use in one-time partnerships; and frequency of casual partnership anal sex (total and condomless)], controlling for individual PrEP use.ResultsPrEP coverage ranged from 10.3% (Philadelphia) to 38.9% (San Francisco). Total degree was highest in Miami (1.35) and lowest in Denver (0.78), while the count of one-time partners was highest in San Francisco (11.7/year) and lowest in Detroit (1.5/year). Adjusting for individual PrEP use and demographics, community PrEP coverage correlated with total degree [adjusted incidence rate ratio (aIRR) = 1.73; 95% credible interval (CrI), 0.92-3.44], casual degree (aIRR = 2.05; 95% CrI, 0.90-5.07), and count of one-time partnerships (aIRR = 1.90; 95% CrI, 0.46-8.54). Without adjustment for individual PrEP use, these associations strengthened. There were weaker or no associations with consistent condom use in one-time partnerships (aIRR = 1.68; 95% CrI, 0.86-3.35), main degree (aIRR = 1.21; 95% CrI, 0.48-3.20), and frequency of casual partnership condomless anal sex (aIRR = 0.23; 95% CrI, 0.01-3.60).ConclusionMost correlations between community PrEP coverage and sexual behavior were explained by individual PrEP use. However, some residual associations remained after controlling for individual PrEP use, suggesting that PrEP coverage may partially drive community-level differences in sexual behaviors.
| S-EPMC9617766 | biostudies-literature
Project description:Growing body of literature has reported that weight status estimation pattern, including accurate-, under-, and overestimation, was associated with weight related behaviors and weight change among adolescents and young adults. However, there have been a few studies investigating the potential role of school contexts in shaping adolescents' weight status estimation pattern among Korea adolescents.The aim of the present study was to investigate the association between weight status misperception patterns and factors at individual-, family-, and school-level, simultaneously, and whether there was significant between schools variation in the distribution of each weight status misperception pattern, underestimation and overestimation respectively, among Korean adolescents aged 12-18 years.Data from the Eighth Korea Youth Risk Behavior Web-based Survey (KYRBS), 2012, a nationally representative online survey of 72,228 students (boys = 37,229, girls = 34,999) from a total of 797 middle and high schools were used. Sex stratified multilevel random intercept multinomial logistic models where adolescents (level 1) were nested within schools (level 2) were performed.At the school level, attending a school with higher average BMI (kg/m2) was positively associated with weight status underestimation, and inversely associated with weight status overestimation among boys and girls. Single-sex schooling was positively associated with weight status underestimation among girls. At the family level, higher household income (high/middle versus low) was inversely associated with both weight status under- and overestimation among boys and girls. Higher maternal education (equal to or more than college graduate versus equal to or less than high school graduate) was positively associated with weight status overestimation among boys, and living with both parents (compared to not living with both parents) was inversely associated with weight status underestimation among girls. At the individual level, high academic achievement (compared to low) was positively associated with weight status underestimation among boys and girls.While further research with prospective designs and objectively measured anthropometric information is needed, school environmental factors such as sex composition and school average BMI, as well as, family contexts such as socioeconomic status need to be considered when developing and implementing obesity prevention programs.
| S-EPMC4856343 | biostudies-other
Project description:Imposing stricter regulations for PM2.5 has the potential to mitigate damaging health and climate change effects. Recent evidence establishing a link between exposure to air pollution and COVID-19 outcomes is one of many arguments for the need to reduce the National Ambient Air Quality Standards (NAAQS) for PM2.5. However, many studies reporting a relationship between COVID-19 outcomes and PM2.5 have been criticized because they are based on ecological regression analyses, where area-level counts of COVID-19 outcomes are regressed on area-level exposure to air pollution and other covariates. It is well known that regression models solely based on area-level data are subject to ecological bias, i.e., they may provide a biased estimate of the association at the individual-level, due to within-area variability of the data. In this paper, we augment county-level COVID-19 mortality data with a nationally representative sample of individual-level covariate information from the American Community Survey along with high-resolution estimates of PM2.5 concentrations obtained from a validated model and aggregated to the census tract for the contiguous United States. We apply a Bayesian hierarchical modeling approach to combine county-, census tract-, and individual-level data to ultimately draw inference about individual-level associations between long-term exposure to PM2.5 and mortality for COVID-19. By analyzing data prior to the Emergency Use Authorization for the COVID-19 vaccines we found that an increase of 1 μg/m3 in long-term PM2.5 exposure, averaged over the 17-year period 2000-2016, is associated with a 3.3% (95% credible interval, 2.8 to 3.8%) increase in an individual's odds of COVID-19 mortality. Code to reproduce our study is publicly available at https://github.com/NSAPH/PM_COVID_ecoinference. The results confirm previous evidence of an association between long-term exposure to PM2.5 and COVID-19 mortality and strengthen the case for tighter regulations on harmful air pollution and greenhouse gas emissions.
| S-EPMC10395946 | biostudies-literature
Project description:BackgroundNewborn care practices that best promote the health and well-being of mother-infant dyads after birth while minimizing transmission of COVID-19 were uncertain at the onset of the COVID-19 pandemic.ObjectiveExamine variation in COVID-19 newborn care practices among U.S. birth hospitals and by hospital characteristics (U.S. census region, highest level of neonatal level of care, and Baby-Friendly hospital status).Study designWe surveyed physicians via American Academy of Pediatrics email listservs and social media between 5/26/2020-6/8/2020. Physicians identified the birth hospital in which they provided newborn care and their hospital's approach to obstetrical and newborn care related to COVID-19. Chi-square tests were used to examine variation in hospital practices by U.S. census region, highest level of neonatal care, and Baby-Friendly hospital status.ResultsFour hundred thirty three physicians responded from 318 hospitals across 46 states. Variation in care of SARS-CoV-2 positive mother-infant dyads was greatest for approaches to location of newborn care (31% separation, 17% rooming-in, and 51% based on shared-decision making), early skin-to-skin care (48% prohibited/discouraged, 11% encouraged, and 40% based on shared-decision making) and direct breastfeeding (37% prohibited/discouraged, 15% encouraged, and 48% based on shared-decision making). Among presumed uninfected dyads, 59% of hospitals discharged at least some mother-infant dyads early. We found variation in practices by U.S. census region.ConclusionApproaches to newborn care and breastfeeding support for mother-infant dyads with positive SARS-CoV-2 testing differed across U.S. birth hospitals during the COVID-19 pandemic. Early discharge of presumed uninfected mother-infant dyads was common.
| S-EPMC8776982 | biostudies-literature
Project description:AimsWhile nationally representative alcohol surveys are a mainstay of public health monitoring, they underestimate consumption at the population level. This paper demonstrates how to adjust individual-level survey data using aggregated alcohol per capita (APC) data for improved individual- and population-level consumption estimates.Design and methodsFor the period 1984-2020, data on self-reported alcohol consumption in the past 30 days were taken from the Behavioral Risk Factor Surveillance System (BRFSS) involving participants (18+ years) in the United States (US). Monthly abstainers were reallocated into lifetime abstainers, former drinkers, and 12-month drinkers using the 2005 National Alcohol Survey data. To correct for under-coverage of alcohol use, we triangulated APC and survey data by upshifting quantity (average grams/day) and frequency (drinking days/week) of alcohol use based on national- and state-level APC data. Results were provided for the US as a whole and for selected states to represent different drinking patterns.FindingsThe corrections described above resulted in improved correspondence between survey and APC data. Following our procedure, national estimates of alcohol quantity increased from 45% to 77% of APC estimates. Both quantity and frequency of alcohol use were upshifted; by upshifting to 90% of APC, we were able to fit trends and distributions in APC patterns for individual states and the US.ConclusionsAn individual-level dataset which more accurately reflects the alcohol use of US citizens was achieved. This dataset will be invaluable as a research tool and for the planning and evaluation of alcohol control policies for the US. The methodology described can also be used to adjust individual-level alcohol survey data in other geographical settings.
| S-EPMC10117538 | biostudies-literature