Socio-economic factors of patients of a military sanatorium in Krynica Zdrój and selected elements of their lifestyle

2019 ◽  
Vol 9 (4) ◽  
pp. 21-26
Author(s):  
Katarzyna Zwolińska-Mirek ◽  
Janusz Mirek ◽  
Elżbieta Cygnar ◽  
Jolanta Proszowska

Introduction: One of the crucial factors influencing the lifestyle and health-related behaviors undertaken by people is their social and economic situation. Apart from material status, the level of education plays a significant role. Social and economic factors are major determinants influencing population health. The socio-economic situation may significantly affect the health-related behaviors undertaken in the group in question. The paper attempts to assess the impact of the socio-economic background of patients with mobility dysfunctions and comorbidities, undergoing the spa and rehabilitation treatment on their health-related behaviors. The study was supposed to answer the question whether undertaking health-related behaviors is dependent on the socio-economic factors of the patients in the study. The study constitutes only one of the elements of broader analysis of health-related behaviors covering patients undergoing sanatorium treatment. Material and methods: The group included in the study consisted of 450 patients (300 women and 150 men) undergoing spa and rehabilitation treatment at the 20 Military Spa and Rehabilitation Hospital in Krynica-Zdrój. Patients were referred to sanatorium treatment mainly due to mobility dysfunctions but also due to comorbidities. Diagnostic survey was used as a research method and the author’s own questionnaire specifically designed for its purpose was applied. The questions concerned physical activity, nutrition, use of psychoactive substances and preventive examinations. The analysis of the patients’ medical documentation provided the authors with objective information about the results of laboratory tests, current health problems and ailments as well as the course of the applied treatment. Research and conclusions: The education level together with economic status of the respondents have a statistically significant impact on the form of selected physical activity in the group under study. Patients with average income went for walks more often while remedial gymnastics was often practiced by patients with monthly net income above PLN 1.500. No statistically significant correlations between the education level and economic status of the patients and the regularity of meals as well as the number of hours devoted to sleep was stated. The correlation between the frequency of stays in sanatorium and the place of residence, education level, type of work performed as well as wealth level was not found.

2009 ◽  
Vol 103 (3) ◽  
pp. 319-334 ◽  
Author(s):  
Leone C. A. Craig ◽  
Geraldine McNeill ◽  
Jennie I. Macdiarmid ◽  
Lindsey F. Masson ◽  
Bridget A. Holmes

The Survey of Sugar Intake among Children in Scotland was carried out in May to September 2006. The present study aimed to identify dietary patterns in school-aged children from the survey and investigate associations with socio-economic factors, obesity and physical activity. Habitual diet was assessed using the Scottish Collaborative Group FFQ. Height and weight were measured by trained fieldworkers. A total of 1233 FFQ were available for analysis. Dietary patterns were identified by age (5–11 and 12–17 years) and sex using principal components analysis. Associations between factor scores and socio-economic status, education level of the main food provider, physical activity levels and BMI category (based on UK 1990 charts) were examined. Three dietary patterns were identified in each age and sex group. ‘Healthier’ patterns loading highly for fruit and vegetables were significantly associated with higher socio-economic status and higher education levels of the main food provider whereas more ‘unhealthy’ patterns (‘snacks’ and ‘puddings’) were associated with lower socio-economic status and lower education levels of the main food provider. There was no consistent association between dietary patterns and BMI group or time spent in physical activity. However, inactivity (screen time) was inversely associated with ‘healthier’ patterns in all age and sex groups and positively associated with ‘puddings’ and ‘snacks’ in girls aged 5–11 years. Clear dietary patterns can be identified in school-age children in Scotland, which are consistently related to socio-economic factors and inactivity. This has implications for targeting health promotion at subgroups in terms of lifestyle changes required.


2013 ◽  
Vol 3 (4) ◽  
pp. 24-31
Author(s):  
Suddhasatta Ghosh ◽  
Dilip Mukherjee ◽  
Riddhi Dasgupta

Introduction: The average age of menarche has declined over the last century but the magnitude of the decline and the factors responsible remain subjects of contention. Aims and Objectives: To study a group with delayed menarche in a cohort of Bengali Indian females with low to normal body weight. To investigate anthropometric characteristics (height, mid-parental height, weight, BMI), Socio-economic Status, Sexual Maturity Rating (SMR) stages and 2D: 4D ratio ( ratio of lengths of second and fourth digits of both hands) in those with delayed menarche. To analyse the correlation of these factors with delayed age of menarche. Materials and Methods: A total of 614 children , aged 11- 16 completed years, of low to middle income family groups and attending suburban schools, were evaluated on the basis of predetermined questionnaire and anthropometric measurements. Correlation of factors with delayed age of menarche was done by appropriate statistical methods Results and Analysis: Out of 190 children having delayed menarche (cases) and 424 children with normal age of menarche (controls) , the height percentile (p value: 0.642), BMI ( p value: 0.091), weight (p value: 0.12)and Mid-Parental Height (p value: 0.26) had no significant correlation , while SMR ( p value:0.00), 2D:4D ratio (p value:0.002) and low Socio-economic Status (p value: 0.00) had a significant correlation with delayed menarche. Conclusion: This study is the first to examine such a wide variety of anthropometric and socio-economic factors at a time in a single cohort of females with delayed menarche. DOI: http://dx.doi.org/10.3126/ajms.v3i4.5902 Asian Journal of Medical Science Vol.3(4) 2012 pp.24-31


2018 ◽  
Vol 18 (17) ◽  
pp. 23-32
Author(s):  
Sunil Kumar Acharya

BPCR practices by women in Nepal are still low. Still a relatively high percentage of women do not make BPCR to its fullest extent. Researches in developing countries show that various demographic, social and economic factors influence the BPCR practices by pregnant women. This paper examines the likelihood of BPCR practices based on women’s demographic, social and economic status in Nepal. NDHS 2011 data set has been utilized by applying bivariate logistics regression analysis technique to examine the effects of these variables on BPCR practices in Nepal. The analysis result shows high variations and gaps in BPCR practice based on demographic, social and economic status of women. Against this finding the study recommends implementation of appropriate policy and program measures by the government and other agencies to address the existing variations and gaps in BPCR practices among subgroups of women in Nepal. Further research studies focusing on the existing barriers on BPCR practice need to be conducted in Nepal especially among the women who are disadvantaged and marginalized.


Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Maira Tristao Parra ◽  
Meredith A Pung ◽  
Kathleen Wilson ◽  
Christopher Pruitt ◽  
Barry H Greenberg ◽  
...  

Hypothesis: insufficiently active heart failure patients will report poorer QoL, more fatigue and depressive mood compared to active patients. Aims: To characterize clinical characteristics and health-related behaviors according to physical activity (PA). Also, to explore predicting factors of quality of life (QoL). Methods: Cross-sectional analysis of a cohort of Stage B HF patients. PA classification was set as active, moderately active or insufficiently active, according to the LTEQ questionnaire. For QoL, the SF-36 questionnaire was used. ANOVAS, Chi-Square tests or likelihood ratios and unadjusted multiple regression models were calculated. Significance was set at p ≤ 0.05. Results: In this cohort, 277 HF patients completed the PA questionnaire. The prevalence of active patients was higher than moderately active and insufficiently active (53.3% vs 15.2% and 29.6%), respectively. Younger age (p = 0.044), lower waist circumference (WC) (p = 0.002), and lower waist-to-hip ratio (p = 0.046) were associated with being active. The prevalence of Type II diabetes mellitus (T2DM) in the active groups was significantly lower (p = 0.001). Physically active groups had cases of mild LV enlargement (1.4% and 7.5%, respectively), while no cases were observed among insufficiently active patients (p = 0.017). PA was positively associated with less fatigue (p= 0.002), more vigor (p = 0.001), more self-efficacy (p < 0.001), and better quality of life (p = 0.002). Patients who were less physically active had more inflammation (CRP, p = 0.015; IL-6, p <0.001; TNF-α: p = 0.033, and IL-1ra, p = 0.001). WC (β =-0.16, p = 0.008), glucose (β =-0.12, p < 0.001) and fatigue (β = - 0.39, p < 0.001) predicted general health perception (R 2 = 0.449). For physical functioning (high scores reflects performing PA without limitations due to health), WC (β = - 0.28, p = 0.001), sleep (β = - 1.50, p = 0.003) and fatigue (β = - 0.32, p = 0.018) were significant predictors (R 2 = 0.422); while age (β = 0.36, p <0.001) physical activity (β = 0.051, p = 0.055), sleep (β = 0.50, p =0.046), fatigue (β = -0.37, p <0.001) and depression (β = -1.12, p <0.001) predicted emotional well-being (R 2 = 0.696). Conclusion: Physically active heart failure patients had a better anthropometric profile and lower prevalence of T2DM. In this cohort, PA was not a significant predictor for general and physical functioning, but it remained relevant for predicting emotional well-being.


2013 ◽  
Vol 33 (6) ◽  
pp. 687-696 ◽  
Author(s):  
Fabiane Rossi dos Santos Grincenkov ◽  
Natália Fernandes ◽  
Alfredo Chaoubah ◽  
Neimar da Silva Fernandes ◽  
Kleyton Bastos ◽  
...  

Background and Objectives A large proportion of the patients on peritoneal dialysis (PD) in Brazil have low levels of education and family income. The present study assessed whether education level and family income are associated with baseline and longitudinal changes in health-related quality of life (HRQOL) scores during the first year of PD therapy. Methods We evaluated 1624 incident patients from the Brazilian Peritoneal Dialysis Multicenter Study (BRAZPD) at baseline, and 486 of them after 12 months. The SF-36 was used to determine HRQOL and the Karnofsky index (KI), physical performance. Results At baseline, patients received high KI scores compared with scores on the SF-36. The means of the mental and physical components at baseline and after 12 months were 39.9 ± 10.5 compared with 38.7 ± 11.7 and 41.8 ± 9.6 compared with 40.7 ± 9.8 respectively, which were not statistically different. A multivariate regression analysis showed that age, sex, diabetes, and cardiovascular disease were predictors of the mental component (respectively, β = 0.12, p < 0.001; β = 0.11, p < 0.001; β = –0.08, β = 0.007; and β = –0.07, p = 0.007) and that age, sex, diabetes, cardiovascular disease, hemoglobin, glucose, and creatinine were predictors of the physical component (respectively, β = –0.28, p < 0.001; β = 0.06, p = 0.009; β = –0.09, p = 0.002; β = –0.09, p = 0.001; β = 0.07, p = 0.004; β = –0.05, p = 0.040; and β = 0.05, p = 0.040). Education level and family income were not significantly associated with HRQOL (mental and physical components) in the multivariate regression. Conclusions The results indicate that, as predictors, family income and education level have no impact on HRQOL, supporting the idea that socio-economic status should not be a barrier to the selection of PD as a treatment modality in Brazil.


2015 ◽  
Vol 8 (12) ◽  
pp. 218 ◽  
Author(s):  
Yuni Azzizah

<p class="apa">Since 1998, regional governments in Indonesia have had greater autonomy due to the commencement of a reformation movement across Indonesia. Large portions of education management were delegated to the regional governments. Because of this, the education level varies strongly across Indonesia’ provinces. Referring to the data provided by the Indonesian Bureau of Statistics, it is found that Eastern Indonesia generally has a higher rate of uneducated than Western Indonesia. We review the current condition of Indonesian education in terms of regional disparity among eastern and western provinces and study the correlation between inequality in education and other related aspects, such as social and economic conditions. We find that inequality issues on socio-economic conditions are reflected in the education disparity between Eastern and Western Indonesia. By employing panel data with provinces as units of observations, we find that the difference in regional development among Indonesian provinces influences education issues. By evaluating the standard deviation of the statistic we were able to identify socio-economic factors that influence the regional education disparity.</p>


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