scholarly journals The role of individual, household, and area of residence factors on self-rated health in Colombian adults: A multilevel study

Biomédica ◽  
2020 ◽  
Vol 40 (2) ◽  
pp. 296-308
Author(s):  
Beatriz Caicedo-Velásquez ◽  
María Clara Restrepo-Méndez

Introduction: Self-rated health is strongly associated with morbidity and mortality. It is largely influenced by individual factors but also by individuals’ social surroundings and environment.Objective: To investigate individual, household, and locality factors associated with self-rated ealth in Colombian adults.Materials and methods: We conducted a cross-sectional multilevel study using data from national databases on 19 urban localities and 37,352 individuals nested within 15,788 households using a population-based survey. Given the natural hierarchical structure of the data, the estimates of self-rated health related to individual, household, and locality characteristics were obtained by fitting a three-level logistic regression.Results: The adjusted multilevel logistic models showed that at individual level, higher odds of poor self-rated health were found among older adults, persons from low socio-economic status, those living without a partner, with no regular physical activity, and reporting morbidities. At the household level, poor self-rated health was associated with households of low socioeconomic status located near noise sources and factories and in polluted and insecure areas. At the locality level, only poverty was associated with poor self-rated health after adjusting for individual and household variables.Conclusions: These results highlight the need for a more integrated framework when designing and implementing strategies and programs that aim to improve health conditions in urban populations in Latin America.

Author(s):  
Amy Mizen ◽  
Richard Fry ◽  
Ben Wheeler ◽  
Sarah Rodgers

Background with rationaleSpending time in green-blue spaces (GBS) is beneficial for mental health and wellbeing. There are few longitudinal studies, and definitions of GBS differ within academic studies and between policy, practice and research. Main AimQuantify the impact of longitudinal exposure to GBS on wellbeing and common mental health disorders, for a national population (2008-2018) for use in a population-wide natural experiment. MethodsWe co-produced a GBS typology with planners and policy makers at a day-long workshop using validated public participation methods. Using this typology, we built a national, longitudinal GBS dataset created from local government audits and satellite data for 1.4 million homes in Wales, UK. Results produced a nested national typology to define GBS that built on previous academic literature and considered policy and local government planning priorities. The typology differentiated between inland and coastal GBS and facilities available at the GBS e.g. benches, public toilets etc. We created a national, longitudinal dataset of GBS and a cross-sectional dataset of household-level access to GBS for 2018. Access to GBS varied by socio-economic status, urban/rural classification and type of GBS. ConclusionWe worked with policy and planners to produce a typology that will enable us to translate our findings to be used in evidence based policy and planning. We will use the dataset to create quarterly household access to GBS for eleven years (2008-2018). We will link GBS access scores to individual level mental health for 1.7 million people with primary care data and survey data (n = ~12,000) on wellbeing. The results from the wider study will inform the planning and management of GBS in urban and rural environments and contribute to international work on impacts of the built environment on mental health and wellbeing.


Author(s):  
F A V Dionato ◽  
L B Nucci ◽  
C C Enes

Abstract Background The non-adoption of behavioral changes to control diabetes mellitus contributes to a low adherence to self-care. This study aimed to investigate the factors associated with non-adoption of healthy behaviors among diabetic individuals. Methods Cross-sectional study using data from the National Health Survey (Pesquisa Nacional de Saúde) carried out in 2013 in Brazil, with adults (≥18 years) (n = 3098). The outcome variable was the non-adoption—two or fewer—of healthy behaviors. Logistic regression model was used to identify the factors associated with non-adoption of healthy behaviors. Results Approximately, 50% of the participants adopted two or fewer healthy habits and the most frequently mentioned were not drinking excessively (94.1%) and not smoking (89.1%). Not using diabetic medication (odds ratio (OR) = 1.37, 95% confidence interval (CI) = 1.02–1.85), not making regular doctor visits (OR = 1.42, 95% CI = 1.08–1.87), no limitation of usual activities (OR = 1.39, 95% CI = 1.01–1.94) and good self-rated health (OR = 1.47, 95% CI = 1.09–1.98) increased the chance of individuals non-adoption of healthy behaviors independently of gender, age, schooling and economic status. Conclusions Health professionals need to be aware of issues, such as diabetic medication use, frequency of doctor visits, limitation of usual activities and good self-rated health, which are factors that can interfere with the adoption of healthy behaviors of diabetic patients.


Foods ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 681
Author(s):  
Nora A. Althumiri ◽  
Mada H. Basyouni ◽  
Ali F. Duhaim ◽  
Norah AlMousa ◽  
Mohammed F. AlJuwaysim ◽  
...  

Background: Food waste and food insecurity may co-exist in various balances in developing and developed countries. This study aimed to explore the levels of food waste and food insecurity, the factors associated with them, and their relationships at the household and individual levels in Saudi Arabia. Methods: This study was a nationwide cross-sectional survey conducted via computer-assisted phone interviews in January 2021. Quota sampling was utilized to generate balanced distributions of participants by gender across all the administrative regions of Saudi Arabia. Data collection included household demographics, food waste and disposal, the Food Insecurity Experience Scale (FIES), and the Household Food Insecurity Access Scale (HFIAS). Results: Out of the 2807 potential participants contacted, 2454 (87.4%) completed the interview. The mean age was 31.4 (SD = 11.7; range = 18–99) and 50.1% were female. The weighted prevalence of uncooked food waste in the last four weeks was 63.6% and the cooked food waste was 74.4%. However, the food insecurity weighted prevalence at the individual level (FIES) was 6.8%. In terms of food insecurity at the household level (HFIAS), 13.3% were in the “severely food insecure” category. Moreover, this study found that “moderately food insecure” households were associated with an increased likelihood to waste uncooked food (relative risk (RR) = 1.25), and the “mildly food insecure” (RR = 1.21) and “moderately food insecure” (RR = 1.17) households were associated with an increased likelihood to waste cooked food. However, “food secure” households were associated with a decreased likelihood to waste cooked food (RR = 0.56). Finally, this study identified four household factors associated with food waste and three household factors that were associated with “severe food insecurity.” Conclusions: This first national coverage study to explore food waste and food insecurity at the individual level and household level, identified household factors associated with food waste and food insecurity and identified new associations between food waste and food insecurity in Saudi Arabia. The associations found between food waste and food insecurity are potential areas of intervention to reduce both food waste and food insecurity at the same time, toward achieving the Sustainable Development Goal (SDG) targets related to food waste and food security.


Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 342
Author(s):  
Bum Jung Kim ◽  
Lin Chen ◽  
Ling Xu ◽  
Yura Lee

This study examines the influence of self-rated health and subjective economic status on the life satisfaction of older Chinese immigrants in the United States. Data were obtained from a cross-sectional survey of 205 older Chinese immigrants aged 66 to 90 years living in Los Angeles and Honolulu. Ordinary Least Squares (OLS) regression analysis was employed to explore the independent effects of self-rated health and subjective economic status. The results demonstrated that self-rated health and subjective economic status were positively associated with life satisfaction. This cross-sectional study provides empirical evidence that self-rated health and subjective economic status are directly associated with subjective life satisfaction among older Chinese immigrants.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Takashi Oshio ◽  
Hiromi Kimura ◽  
Toshimi Nishizaki ◽  
Takashi Omori

Abstract Background Area-level deprivation is well known to have an adverse impact on mortality, morbidity, or other specific health outcomes. This study examined how area-level deprivation may affect self-rated health (SRH) and life satisfaction (LS), an issue that is largely understudied. Methods We used individual-level data obtained from a nationwide population-based internet survey conducted between 2019 and 2020, as well as municipality-level data obtained from a Japanese government database (N = 12,461 living in 366 municipalities). We developed multilevel regression models to explain an individual’s SRH and LS scores using four alternative measures of municipality-level deprivation, controlling for individual-level deprivation and covariates. We also examined how health behavior and interactions with others mediated the impact of area-level deprivation on SRH and LS. Results Participants in highly deprived municipalities tended to report poorer SRH and lower LS. For example, when living in municipalities falling in the highest tertile of municipality-level deprivation as measured by the z-scoring method, SRH and LS scores worsened by a standard deviation of 0.05 (p < 0.05) when compared with those living in municipalities falling in the lowest tertile of deprivation. In addition, health behavior mediated between 17.6 and 33.1% of the impact of municipality-level deprivation on SRH and LS, depending on model specifications. Conclusion Results showed that area-level deprivation modestly decreased an individual’s general health conditions and subjective well-being, underscoring the need for public health policies to improve area-level socioeconomic conditions.


2018 ◽  
Vol 95 (5) ◽  
pp. 682-690 ◽  
Author(s):  
M. Asadi-Lari ◽  
Y. Salimi ◽  
M. R. Vaez-Mahdavi ◽  
S. Faghihzadeh ◽  
A. A. Haeri Mehrizi ◽  
...  

2017 ◽  
Vol 62 (9) ◽  
pp. 971-979 ◽  
Author(s):  
Dario Novak ◽  
Lovro Štefan ◽  
Arunas Emeljanovas ◽  
Brigita Mieziene ◽  
Ivana Milanović ◽  
...  

2014 ◽  
Vol 56 (6) ◽  
pp. 603 ◽  
Author(s):  
Doroteia Aparecida Höfelmann ◽  
Leila Posenato Garcia ◽  
Lúcia Rolim Santana de Freitas

Objective. To investigate prevalence of poor self-rated health and its association with individual and household-level characteristics among adults and elderly in Brazil. Materials and methods. Cross-sectional study with Brazilian National Household Sample Survey 2008 (n=257 816). Crude and multilevel-adjusted Poisson regression models were fitted. Results. After adjusted analysis, poor self-rated health was significantly associated with higher household income, living alone, not having piped water nor garbage collection, lower education, not having health insurance, female sex, higher age, being a current or previous smoker, physical inactivity, having chronic diseases, having physical impairment. Subjects living in rural areas also had higher prevalence of poor selfrated health. The factors most strongly associated with the outcome were physical impairment and reporting three or more chronic diseases. Conclusions. Socioeconomic, health related behaviors, and physical health were associated with poor self-rated health.


2021 ◽  
Vol 10 (17) ◽  
pp. e18101724202
Author(s):  
Saulo Vasconcelos Rocha ◽  
Sabrina Correia de Oliveira ◽  
Hector Luiz Rodrigues Munaro ◽  
Camila Fabiana Rossi Squarcini ◽  
Bruna Maria Palotino Ferreira ◽  
...  

Negative health behaviors incorporated into lifestyle are considered the main risk factors for chronic non-communicable diseases (NCDs) in adults and the elderly. However, the relationship between the aggregation of these factors and the sociodemographic conditions of the elderly needs to be better elucidated. The aim of this study was to analyze the simultaneity of the five risk factors for NCDs in the elderly with low economic status living in a rural city in Brazil, and their association with sociodemographic variables. Cross-sectional study was conducted with elderly people from Family Health Units of the city of Ibicui-Bahia, Brazil, where 310 elderly were enrolled. Rates of physical inactivity in leisure (PIL), alcohol consumption, sedentary behavior, overweight/obesity and tobacco consumption were collected through a questionnaire in an individual interview. The average age among participants was 71.62 (± 8.16) years. The group presenting the five behaviors had high scores in both sexes (men O/E = 242.5; women O/E = 161.7). Among men and women, the highest scores found through clustering of simultaneous NCD risk factors were for the consumption of alcohol with smoking, and physical inactivity with smoking. When analyzing the association between groups and sociodemographic characteristics, men were more physically inactive than women (OR = 0.96, CI = 0.92-0.98) and concomitantly had unhealthy habits (smoking). In conclusion, the elderly are exposed to health risk factors for concurrent CNCDs and the accumulation of these risk factors was not associated with sociodemographic variables, it is suggested that further studies be carried out with the prevalent variables as well as to analyze why the elderly population presents these levels.


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