scholarly journals Effects of Structured Lifestyle Education Program for Individuals With Increased Cardiovascular Risk Associated With Educational Level and Socioeconomic Area

2020 ◽  
Vol 15 (1) ◽  
pp. 28-38
Author(s):  
Matthias Lidin ◽  
Mai-Lis Hellenius ◽  
Monica Rydell Karlsson ◽  
Elin Ekblom-Bak
Keyword(s):  
Quality Of Life ◽  
Socioeconomic Status ◽  
Cardiovascular Risk ◽  
Education Program ◽  
Educational Level ◽  
Disease Risk ◽  
Lifestyle Habits ◽  
University Degree ◽  
Lifestyle Education

Background. Differences in socioeconomic status contribute to inequalities in lifestyle habits and burden of noncommunicable diseases. We aimed to examine how the effects of a 1-year structured lifestyle education program associate with the participant’s educational level and socioeconomic area (SEA) of residence. Methods. One hundred individuals (64% women) with high cardiovascular risk were included. Education level (nonuniversity vs university degree) was self-reported and SEA (low vs high) defined by living in different SEAs. Lifestyle habits and quality of life were self-reported, cardiovascular risk factors and Framingham 10-year cardiovascular disease risk were measured at baseline and after 1 year. Results. Sedentary behavior decreased in both nonuniversity degree and low SEA group over 1 year, with a significantly greater improvement in daily activity behavior in low- compared with high-SEA group. Abdominal obesity decreased significantly more in the nonuniversity compared with the university degree group. Cardiovascular risk and quality of life improved in all groups, however, with greater discrimination when using educational level as the dichotomization variable. Conclusion. The results are clinically and significantly relevant, suggesting that low socioeconomic status measured both as educational level and SEA are no barriers for changing unhealthy lifestyle habits and decreasing cardiovascular risk after participation in a lifestyle program.

Long-term effects of a Swedish lifestyle intervention programme on lifestyle habits and quality of life in people with increased cardiovascular risk

2017 ◽  
Vol 46 (6) ◽  
pp. 613-622 ◽  
Author(s):  
Matthias Lidin ◽  
Elin Ekblom-Bak ◽  
Monica Rydell Karlsson ◽  
Mai-Lis Hellénius
Keyword(s):  
Quality Of Life ◽  
Cardiovascular Risk ◽  
Dietary Habits ◽  
Behavioural Change ◽  
University Hospital ◽  
Intervention Programme ◽  
Lifestyle Habits ◽  
Group Sessions ◽  
One Year

Aims: The aim of this study was to evaluate the effects of a structured intervention programme on lifestyle habits and quality of life after six months and one year in participants with increased cardiovascular risk. Methods: Participants aged ≥18 years with increased cardiovascular risk were referred from primary health care and hospitals. The programme was launched at an outpatient clinic in a department of cardiology at a university hospital. It consisted of individual visits to a nurse for a health check-up and lifestyle counselling at baseline, after six months and at one year. In addition, five group sessions – focusing on nicotine, alcohol, physical activity, eating habits, stress, sleep and behavioural change – were offered to the participants and their relatives or friends. Lifestyle habits and quality of life were assessed with questionnaires at baseline, after six months and at one year. Results: One hundred participants (64 women, 36 men, age 58±11 years) were included in the programme. Compared with the baseline, significant and favourable changes in reported lifestyle habits were noted. Exercise levels were higher after one year and sedentary time decreased from 7.4 to 6.3 h/day. Dietary habits improved and the number of participants with a high consumption of alcohol decreased. Quality of life improved after one year. Conclusions: Participating in a structured lifestyle programme resulted in improved lifestyle habits and quality of life over one year in people with increased cardiovascular risk. Components such as an inter-professional teamwork, a focus on lifestyle rather than the disease, and combining individual visits and group sessions, might be central to the positive outcome of the programme.

scholarly journals Association of low socioeconomic status and physician assessment of disease severity with oral health-related quality of life in patients with systemic sclerosis: a pilot study from Croatia, a country in transition

2018 ◽  
Vol 46 (12) ◽  
pp. 5127-5136 ◽  
Author(s):  
Katica Parat ◽  
Mislav Radić ◽  
Katarina Borić ◽  
Dijana Perković ◽  
Dolores Biočina Lukenda ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Socioeconomic Status ◽  
Systemic Sclerosis ◽  
Oral Health ◽  
Educational Level ◽  
Topoisomerase I ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Objective This study was performed to identify a possible association of the clinical parameters of systemic sclerosis (SSc) and the socioeconomic status (SES) with oral health-related quality of life (OHrQoL) as measured by the Oral Health Impact Profile 49 (OHIP 49), taking into account the effect of educational level (as a proxy of SES) on oral health. Methods Subjects were recruited from the Croatian SSc Center of Excellence cohort. Detailed dental and clinical examinations were performed according to standardized protocols. The associations of OHrQoL with disease characteristics and socioeconomic status were examined. Results Thirty-one consecutive patients with SSc were enrolled (29 women; mean age, 56.45 ± 13.60 years). OHIP 49 scores were significantly correlated with disease activity and severity. Furthermore, OHrQoL was positively correlated with skin involvement as evaluated by the modified Rodnan skin score. Impaired OHrQoL was positively correlated with the severity of general, skin, gastrointestinal, and joint/tendon involvement. The OHIP 49 score differed between patients who were positive and negative for anti-topoisomerase I antibody. Higher OHIP 49 scores were detected in patients with lower SES (primary school educational level). Conclusion Collaboration between rheumatologists and dental professionals is required to improve dental care and oral health outcomes of SSc.

scholarly journals Relationship of socioeconomic factors with vision-related quality of life on severe low vision and blind population in Indonesia

2015 ◽  
Vol 24 (4) ◽  
pp. 245-51
Author(s):  
Habsyiyah Habsyiyah ◽  
Yeni D. Lestari ◽  
Iwan Ariawan ◽  
Tjahjono D. Gondhowiardjo
Keyword(s):  
Quality Of Life ◽  
Socioeconomic Status ◽  
Visual Impairment ◽  
Socioeconomic Factors ◽  
Visual Function ◽  
Educational Level ◽  
Low Vision ◽  
Income Level ◽  
Related Quality

Background: Socioeconomic factors are known to be associated with visual impairment. Being someone who is visually impaired could affect his quality of life. The aim of this study is to evaluate the quality of life (QOL) in severe low vision and blind population in Indonesia in relation to their socioeconomic status. Methods: A cross sectional population-based study was performed in 5 provinces, in Indonesia. Respondents of validation study on blindness data of national basic health survey 2013 (RISKESDAS 2013), who were above 18 years old with severe low vision (BCVA≥3/60 to 6/60) and blind (BCVA<3/60), were included in this study. Questionnaires for socioeconomic status and a questionnaire from the national eye institute visual function questionnaire 25 (NEI VFQ 25) for visual function were administered. Total  scores of NEI-VFQ25 were compared based on severity of visual impairment, educational level, occupation, literacy adequacy, income level, and residency. Data analysis was using independent T-test or Mann-Whitney test, and Chi square test.Results: A total of 134 subjects were enrolled in this study, most of them are  women (68.2%), aged >64 years old (64.9%) with low education (65.7%), illiterate (52.2%), low income (71.6%), non working (63.4%) and living in urban areas (58.2%). The blind population has lower VFQ scores than severe low vision (p=0.001). Different status of educational level, literacy adequacy, income level and residency did not show significant difference in VFQ scores, but those who have an occupation had better VFQ scores than those who do not (p=0.041).Conclusion: Visual related quality of life (VRQOL) of severe low vision and blind population was associated significantly with occupational status. Because of culture and characteristics of Indonesian people, VRQOL of severe low vision and blind population in Indonesia was not affected by educational level, literacy, income level, and residency.

Socioeconomic status and oral health‐related quality of life: A systematic review and meta‐analysis

2020 ◽  
Author(s):  
Jessica K. Knorst ◽  
Camila S. Sfreddo ◽  
Gabriela F. Meira ◽  
Fabrício B. Zanatta ◽  
Mario V. Vettore ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Socioeconomic Status ◽  
Oral Health ◽  
Meta Analysis ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Prevalence of Misconceptions about Diabetes and their Association with Metabolic and Psychological Variables

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Sergio Hernández-Jiménez
Keyword(s):  
Quality Of Life ◽  
Educational Level ◽  
Educational Assistance ◽  
Assistance Program ◽  
Psychological Variables ◽  
Lower Educational Level ◽  
High Prevalence ◽  
Short And Long Term ◽  
Glucose Management

Objective: To evaluate misconceptions about diabetes in people who attend the first visit at the CAIPaDi program, as well as its association with metabolic and psychological variables at short and long term. Methods and Analysis: The frequency of misconceptions in diabetes was determined through a true/false survey. We compared sociodemographic, metabolic and psychological variables between people with and without misconceptions at baseline, at 3 months and 1 year after a multidisciplinary educational program. Results: 902 participants answered the survey, with an age of 50 ±10 years old, 54.3% were women, with 1 (0-5) years living with type 2 diabetes. At baseline, 53% of the participants had at least 1 misconception, being more frequent in women (p=0.045) and in population with lower educational level (p<0.001). The most common were "emotional stress and fright cause diabetes" (34.4%), "in the control of my diabetes only matters glucose management" (15.2%) and "women with diabetes should not get pregnant" (11.8%). At basal, patients with misconceptions had higher HbA1c (9.0 ± 2.6 vs 8.4 ± 2.4, p <0.001), lower quality of life (DQOL 95.2 ± 26.2 vs 90.2 ± 23.6, p = 0.03), more problematic areas in diabetes (41.2 [21.2-58.4] vs 35 [17.5-52.6], p = 0.01), more depression (42.6% vs 32.9%, p = 0.003) and anxiety (58.6% vs 40.6%, p = 0.001) compared to patients without misconceptions. With the exception of HbA1c (6.6 ± 1 vs 6.4 ± 0.8, p = 0.025 at 1 year), no differences were observed in the annual visits. Conclusion: We found a high prevalence of people with misconceptions in diabetes. This group had worst glycaemic control, higher scores in PAID questionnaire, lower quality of life and more depression and anxiety symptoms. Participants with misconceptions had lower educational level. An educative program an educational assistance program can minimize differences by eradicating misconceptions.

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