scholarly journals Patterns and Predictors of Sitting among Women from Disad-Vantaged Neighbourhoods over Time: A 5-Year Prospective Cohort Study

2021 ◽  
Vol 18 (9) ◽  
pp. 4625
Author(s):  
Minakshi Nayak ◽  
Karen Wills ◽  
Megan Teychenne ◽  
Jo Salmon ◽  
Verity Cleland
Keyword(s):  
Urban Areas ◽  
Sitting Time ◽  
Full Time ◽  
Socioeconomically Disadvantaged ◽  
Never Married ◽  
Disadvantaged Women ◽  
Sociodemographic Predictors ◽  
Disadvantaged Neighbourhoods ◽  
Mixed Modelling ◽  
Over Time

Background: Our aim was to describe patterns of sitting over time and determine the sociodemographic predictors of sitting over time among women living in socioeconomically disadvantaged neighbourhoods. Methods: Women age between 18 and 45 years (mean = 34.4 ±8.1, n = 4349) reported their sitting time, sociodemographic (e.g., age), and health (e.g., body mass index) three times over 5 years. Linear mixed modelling was used to determine the predictors of change in sitting over time, adjusting for covariates. Results: Mean baseline sitting time was 40.9 h/week, decreasing to 40.1 h/week over five years. Greater sitting time was reported in participants ≤25 years of age, living with obesity, living in urban areas, self-reported poor/fair health, working full-time, with higher education, never married and with no children. Annually, the average sitting time decreased by 0.4 h/week (95% CI; −0.7 to −0.05) in women working full-time but increased by 0.1 h/week (95% CI; −0.2 to 0.6) who were not working. Similarly, annual sitting time decreased by 0.6 h/week (95% CI; −0.2 to 1.3) in women with no children but increased by 0.4 h/week (95% CI; −0.2 to 0.5) and 0.9 h/week (95% CI; 0.3 to 1.3) among those with two and three/more children, respectively. Conclusion: Among disadvantaged women, those not working and with two or more children may be at particular risk for increased sitting time and warrant further attention.

Patterns and Predictors of Television Viewing and Computer Use Among Women Living in Socioeconomically Disadvantaged Neighborhoods: A Prospective Cohort Study

2021 ◽  
pp. 1-14
Author(s):  
Minakshi Nayak ◽  
Karen Wills ◽  
Megan Teychenne ◽  
Verity Cleland
Keyword(s):  
Higher Education ◽  
Computer Use ◽  
Computer Time ◽  
Full Time ◽  
Socioeconomically Disadvantaged ◽  
Tv Viewing ◽  
Mixed Effect ◽  
Disadvantaged Women ◽  
Lower Education ◽  
Over Time

Background: Socioeconomically disadvantaged women are at an increased risk of sedentary behaviors including television (TV) viewing and computer use, so identifying determinants of these behaviors is important. Methods: Women (n = 4349) self-reported weekly TV and computer time (in minutes per week), sociodemographic, and health data at 3 time points (2007–2013). Mixed-effect negative binomial regression was used to determine the baseline determinants of TV viewing and computer use over time, adjusting for confounders. Results: Over 5 years, median TV viewing decreased while median computer time increased. Cross-sectionally TV viewing was highest among participants classified as obese, with poorer health, current smokers, with lower education, not working, with no income, without partners and with no children and computer time was greater among younger women, living in urban areas, working full time, with higher education, without partners and with no children. Average computer time per year increased among those not working (7%), with lower education (5%), and with children (5%) but decreased among those with higher education (1%). However, no factors were associated with a change in TV viewing over time. Conclusion: Among socioeconomically disadvantaged women, interventions aimed at preventing increases in computer time should consider women with lower education, not working, and with children in their design.

scholarly journals Trend and status of out-of-pocket payments for healthcare in Iran: equity and catastrophic effect

2020 ◽  
Vol 95 (1) ◽  
Author(s):  
Satar Rezaei ◽  
Abraha Woldemichael ◽  
Mohammad Ebrahimi ◽  
Sina Ahmadi
Keyword(s):  
Household Income ◽  
Cross Sectional Study ◽  
Publicly Funded ◽  
Socioeconomically Disadvantaged ◽  
Time Series Regression ◽  
Cross Sectional ◽  
Out Of Pocket Payments ◽  
Main Determinants ◽  
Over Time ◽  
Yearly Data

Abstract Background Equity in the distribution of health care resources and mitigating the risk of out-of-pocket (OOP) catastrophic healthcare expenditures (CHE) are the major objectives of the health system of a country. This study aims to measure equity in OOP payments for healthcare and the incidence of CHE among Iranian households over time. Methods This retrospective cross-sectional study utilized data extracted from the household income and expenditure survey (HIES) of Iran, collected by the Statistical Center of Iran. The analysis included a total of 174,341 households’ five yearly data of 6 years starting from 1991 to 2017. Kakwani progressivity index (KPI) was used to measure the equity in OOP payment for each year and examine the households’ incidence of CHE at 20%, 30%, and 40% of their capacities to pay (CTP). The trend series regression analysis was used to examine the trend in the KPI and the incidence of the CHE over time. Results The findings indicated that the households’ expenditure on health out of their monthly budgets for the years 1991 and 2017 were 2.1% and 10.1%, respectively. The KPI for the OOP payment was negative for all 6-year observations (1991 = − 0.680; 1996 = − 0.608; 2001 = − 0.554; 2006 = − 0.265; 2011 = − 0.225, and 2017 = − 0.207), indicating that the OOP payments for healthcare are regressive and more concentrated among the socioeconomically disadvantaged households. There was a statistically significant (p = 0.003) increase in the KPI (i.e., decline in the regressivity) over time. The incidence of the CHE (1.12, 1.93, and 3.71%) in 1991 at the CTP levels of 20%, 30%, and 40% was lower than the incidence at the corresponding levels of CTP (5.26, 10.88, and 22.16) in 2017. The findings of the time-series regression indicated a statistically significant (p < 0.05) increase in the incidence of the CHE at the 20%, 30%, and 40% levels of the households’ CTP. Conclusions The current study demonstrated that OOP payment as a source of healthcare funding in Iran is inequitable. While the use of interventions such as the prepaid and publicly funded programs may contribute to the reduction of CHE and improvement of equity in healthcare financing, further inequality analyses in the incidence of the CHE among households and its main determinants can contribute to evidence-informed planning to reduce the CHE in the context.

scholarly journals Predictors of 10-year mortality in a population of community-dwelling Brazilian elderly: the Bambuí cohort study of aging

2011 ◽  
Vol 27 (suppl 3) ◽  
pp. s360-s369 ◽  
Author(s):  
Maria Fernanda Lima-Costa ◽  
Sergio Viana Peixoto ◽  
Divane L. Matos ◽  
Josélia O. A. Firmo ◽  
Elizabeth Uchôa
Keyword(s):  
Cohort Study ◽  
Community Dwelling ◽  
Socioeconomically Disadvantaged ◽  
Never Married ◽  
Predictors Of Mortality ◽  
Disadvantaged Population ◽  
Lost To Follow Up ◽  
State Examination ◽  
Cruzi Infection

We used data on 1,399 participants aged 60 and over from the Bambuí Cohort Study of Aging to examine predictors of mortality in a socioeconomically disadvantaged population. From 1997 to 2007, 599 participants died and 6.2% were lost to follow-up, leading to 12,415 person-years (pyrs) of observation. The death rate was 48.3 per 1,000 pyrs. Age (adjusted hazard ratio [HR] = 1.40), male gender (HR = 1.80), never married (HR = 1.78) or a widow (HR = 1.26), poor self-rated health (HR = 1.31), inability to perform four or more activities of daily living (HR = 3.29), number of cardiovascular risk factors (HR = 1.51 for two and HR = 1.91 for three or more), Trypanosoma cruzi infection (HR = 1.27), and number of medications (HR = 1.06) were each significantly (p < 0.05) and independently associated with mortality. The Mini-Mental State Examination score showed a protective effect (HR = 0.96). Except T. cruzi infection, other predictors of mortality were highly consistent with those found in more affluent elderly populations.

scholarly journals A trend study in the stratification of social media use among urban youth: Chile 2009-2019

2021 ◽  
Vol 1 ◽  
Author(s):  
Teresa Correa ◽  
Sebastián Valenzuela
Keyword(s):  
Social Media ◽  
Urban Youth ◽  
Urban Areas ◽  
Trend Study ◽  
Frequency Of Use ◽  
Gender And Age ◽  
Age Cohort ◽  
Youth Media ◽  
Probabilistic Survey ◽  
Over Time

This trend study describes changes and continuities in the stratification of usage of Facebook, Twitter, Instagram, and WhatsApp in Chile between 2009-2019—the decade that witnessed the rise of social media. Using the Youth, Media and Participation Study—a probabilistic survey conducted on an annual basis among 1,000 individuals aged 18 to 29 living in the three largest urban areas in Chile (N = 10,518)—we analyze how frequency of use and type of activities conducted on social media has varied over time along socioeconomic status, gender, and age cohort. Instead of a uniform trend towards less (or greater) inequality, the results show that each platform exhibits a unique dynamic. For instance, whereas SES-based inequality in frequency of use has decreased on Facebook over time, it has remained stable on WhatsApp and increased on Twitter and Instagram. In addition, significant differences in the likelihood of conducting different activities (e.g., chatting, commenting news, sharing links) remained across groups, even on platforms such as Facebook where frequency of use has equalized over time.

scholarly journals Analyses of Nocturnal Temperature Cooling-Rate Response to Historical Local-Scale Urban Land-Use/Land Cover Change

2011 ◽  
Vol 50 (9) ◽  
pp. 1872-1883 ◽  
Author(s):  
Winston T. L. Chow ◽  
Bohumil M. Svoma
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Cooling Rate ◽  
Rural Areas ◽  
Urban Areas ◽  
Local Scale ◽  
Urban Land Use ◽  
Cooling Rates ◽  
Near Surface ◽  
Over Time

AbstractUrbanization affects near-surface climates by increasing city temperatures relative to rural temperatures [i.e., the urban heat island (UHI) effect]. This effect is usually measured as the relative temperature difference between urban areas and a rural location. Use of this measure is potentially problematic, however, mainly because of unclear “rural” definitions across different cities. An alternative metric is proposed—surface temperature cooling/warming rates—that directly measures how variations in land-use and land cover (LULC) affect temperatures for a specific urban area. In this study, the impact of local-scale (<1 km2), historical LULC change was examined on near-surface nocturnal meteorological station temperatures sited within metropolitan Phoenix, Arizona, for 1) urban versus rural areas, 2) areas that underwent rural-to-urban transition over a 20-yr period, and 3) different seasons. Temperature data were analyzed during ideal synoptic conditions of clear and calm weather that do not inhibit surface cooling and that also qualified with respect to measured near-surface wind impacts. Results indicated that 1) urban areas generally observed lower cooling-rate magnitudes than did rural areas, 2) urbanization significantly reduced cooling rates over time, and 3) mean cooling-rate magnitudes were typically larger in summer than in winter. Significant variations in mean nocturnal urban wind speeds were also observed over time, suggesting a possible UHI-induced circulation system that may have influenced local-scale station cooling rates.

scholarly journals The ‘transportation disadvantaged’: Urban form, gender and automobile versus non-automobile travel in the Detroit region

Urban Studies ◽  
2017 ◽  
Vol 55 (11) ◽  
pp. 2470-2498 ◽  
Author(s):  
Jieun Lee ◽  
Igor Vojnovic ◽  
Sue C Grady
Keyword(s):  
Urban Form ◽  
Urban Poor ◽  
Travel Behaviour ◽  
Ordinary Least Squares ◽  
Analysis Of Covariance ◽  
Socioeconomically Disadvantaged ◽  
Socially Disadvantaged ◽  
The Usa ◽  
Single Use ◽  
Disadvantaged Neighbourhoods

Urban decentralisation in the USA during the past five decades has created an automobile-dependent landscape characterised by low-densities, largely single-use zoning and disconnected street networks. Longer distances between dispersing destinations, resulting from urban decentralisation, negatively affects the mobility of socially disadvantaged groups, including women, minorities and lower-income populations. Furthermore, the urban poor and minorities in communities experiencing severe disinvestment and decline, as evident in Detroit, suffer from greater transportation burdens in accessing basic necessities, such as employment and shopping. This study explores gendered travel patterns in six neighbourhoods within the Detroit region, including neighbourhoods experiencing severe disinvestment and decline. This analysis into the gendered dimensions of travel, with a particular focus placed on women, involves a full array of trips, including work and non-work. Ordinary Least Squares (OLS) regression analysis and ANCOVA (Analysis of Covariance) were used to further examine gender differences by childcare responsibility in an extensive array of disaggregated travel, including trips to work, shopping and personal services, restaurant visits and leisure destinations. This study reconfirms that the traditional gender role is reflected in women’s daily travel. It also reveals the burdens of travel placed on women living in racially segregated and socioeconomically disadvantaged neighbourhoods experiencing extreme disinvestment and decline. In addition, the research shows the importance of class and race in shaping travel behaviour.

Transition to work, mismatch and underemployment among graduates: an Australian longitudinal study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Denise Jackson ◽  
Ian Li
Keyword(s):  
Learning Strategies ◽  
Personal Characteristics ◽  
Full Time ◽  
Graduate Level ◽  
Medium Term ◽  
Related Factors ◽  
Data Set ◽  
Content Type ◽  
Determining Factors ◽  
Over Time

PurposeThere are ongoing concerns regarding university degree credentials leading to graduate-level employment. Tracking graduate underemployment is complicated by inconsistent measures and tendencies to report on outcomes soon after graduation. Our study explored transition into graduate-level work beyond the short-term, examining how determining factors change over time.Design/methodology/approachWe considered time-based underemployment (graduates are working less hours than desired) and overqualification (skills in employment not matching education level/type) perspectives. We used a national data set for 41,671 graduates of Australian universities in 2016 and 2017, surveyed at four months and three years' post-graduation, to explore determining factors in the short and medium-term. Descriptive statistical techniques and binary logistic regression were used to address our research aims.FindingsGraduates' medium-term employment states were generally positive with reduced unemployment and increased full-time job attainment. Importantly, most graduates that were initially underemployed transited to full-time work at three years post-graduation. However, around one-fifth of graduates were overqualified in the medium-term. While there was some evidence of the initially qualified transitioning to matched employment, supporting career mobility theory, over one-third remaining overqualified. Skills, personal characteristics and degree-related factors each influenced initial overqualification, while discipline was more important in the medium-term.Originality/valueOur study explores both time-based underemployment and overqualification, and over time, builds on earlier work. Given the longer-term, negative effects of mismatch on graduates' career and wellbeing, findings highlight the need for career learning strategies to manage underemployment and consideration of future labour market policy for tertiary graduates.

Why Do People Migrate?

On the Move ◽  
2016 ◽  
Author(s):  
Filiz Garip
Keyword(s):  
United States ◽  
Rural Communities ◽  
Urban Areas ◽  
The United States ◽  
Family Ties ◽  
Small Minority ◽  
The Third ◽  
Majority Group ◽  
First Time ◽  
Over Time

This chapter provides an overview of the migration field, and a brief review of Mexico–U.S. migration flows up to 1965, the year the analysis here begins. It describes the data and methods that led the author to discover four groups among first-time migrants from Mexico to the United States between 1965 and 2010. The first cluster—mostly uneducated and poor men from rural communities—was the majority in the 1970s but dropped to a small minority by the 1990s. The second cluster—many of them teenage boys from relatively better-off families—peaked in the 1980s, becoming the majority group at that time, but declined consistently in size thereafter. The third cluster—mostly women with family ties to former migrants—was increasing slowly in size until it experienced a sudden spike in the early 1990s. And the fourth cluster—mostly educated men from urban areas—grew persistently over time, grabbing the majority status among all first-time migrants in the early 1990s.

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