scholarly journals Communication Vulnerabilities in Working-age Australians with Musculoskeletal Conditions: A Cross-sectional Analysis

2015 ◽  
Vol 42 (8) ◽  
pp. 1484-1493 ◽  
Author(s):  
Dianne B. Lowe ◽  
Michael J. Taylor ◽  
Sophie J. Hill
Keyword(s):  
Risk Factors ◽  
Psychological Distress ◽  
National Health Survey ◽  
Cross Sectional ◽  
Musculoskeletal Conditions ◽  
Lifestyle Risk Factors ◽  
Self Rated Health ◽  
Working Age ◽  
Lifestyle Risk ◽  
Australian Bureau Of Statistics

Objective.To estimate the prevalence of communication vulnerability (CV) and its association with various health measures among working-age Australians with musculoskeletal conditions (MSK). The various vulnerability characteristics may lead to inadequate communication between consumers and healthcare professionals.Methods.Prevalence of CV among 18–64 year olds, with or without MSK, was analyzed using the Australian Bureau of Statistics’ National Health Survey 2007–08 data. Associations between CV and measures of health complexity (accumulating multimorbidity and risk factors) and health burden (poorer self-rated health, psychological distress, and pain restricting work) in the MSK population were estimated using logistic regression. Further analyses were conducted for each vulnerability characteristic to determine the degree of association (crude and adjusted) with measures of interest.Results.CV were more prevalent in working-age Australians with MSK (65%) than those without (51%). Adjusted for age and sex among working-age Australians with at least 1 MSK, those with 1 or more CV were more likely to have multimorbidity [adjusted OR (aOR) = 1.8, 95% CI 1.5–2.2], lifestyle risk factors (aOR = 2.1, 95% CI 1.5–2.8), poorer self-rated health (aOR = 3.4, 95% CI 2.7–4.2), greater psychological distress (aOR = 2.9, 95% CI 2.3–3.7), and pain restricting employment (aOR = 1.7, 95% CI 1.4–2.1) compared with those without CV.Conclusion.For working-age people, there is an association between MSK and CV. For those with MSK, CV were associated with increased likelihood of health complexity and burden. These findings have policy and clinical relevance. Research is needed to determine whether interventions that address these specific CV characteristics reduce the burden of disease within these populations.

scholarly journals Patterns of multiple lifestyle risk factors and their link to mental health in the German adult population: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e022184 ◽  
Author(s):  
Josefine Atzendorf ◽  
Christian Apfelbacher ◽  
Elena Gomes de Matos ◽  
Ludwig Kraus ◽  
Daniela Piontek
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Adult Population ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Lifestyle Risk Factors ◽  
Unhealthy Diet ◽  
Lifestyle Risk ◽  
German Adult

ObjectivesLifestyle risk factors, such as drinking or unhealthy diet, can expotentiate detrimental health effects. Therefore, it is important to investigate multiple lifestyle risk factors instead of single ones. The study aims at: (1) identifying patterns of lifestyle risk factors within the adult general population in Germany and (2) examining associations between the extracted patterns and external factors.DesignCross-sectional study.SettingGeneral German adult population (aged 18–64 years).ParticipantsParticipants of the 2015 Epidemiological Survey of Substance Abuse (n=9204).Primary outcome measuresLifestyle risk factors (daily smoking, at-risk alcohol consumption, unhealthy diet, low physical activity, weekly use of pharmaceuticals, as well as consumption of cannabis and other illicit drugs).ResultsA latent class analysis was applied to identify patterns of lifestyle risk factors, and a multinomial logistic regression was carried out to examine associations between the extracted classes and external factors. A total of four classes were extracted which can be described as healthy lifestyle (58.5%), drinking lifestyle (24.4%), smoking lifestyle (15.4%) and a cumulate risk factors lifestyle (1.7%). Individuals who were male, at younger age and single as well as individuals with various mental health problems were more likely to show multiple lifestyle risk factors.ConclusionsHealthcare professionals should be aware of correlations between different lifestyle risk factors as well as between lifestyle risk groups and mental health. Health promotion strategies should further focus especially on younger and single men.

scholarly journals The Prevalence of Insulin Resistance and the Associated Risk Factors in a Sample of 14–18-Year-Old Slovak Adolescents

2020 ◽  
Author(s):  
Jana Jurkovicova ◽  
Katarina Hirosova ◽  
Diana Vondrova ◽  
Martin Samohyl ◽  
Zuzana Stefanikova ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Venous Blood ◽  
Significant Risk ◽  
Lifestyle Changes ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

The prevalence of cardiometabolic risk factors has increased in Slovakian adolescents as a result of serious lifestyle changes. This cross-sectional study aimed to assess the prevalence of insulin resistance (IR) and the associations with cardiometabolic and selected lifestyle risk factors in a sample of Slovak adolescents. In total, 2,629 adolescents (45.8% males) aged between 14 and 18 years were examined in the study. Anthropometric parameters, blood pressure, and resting heart rate were measured, fasting venous blood samples were analysed, and HOMA-IR was calculated. The mean HOMA-IR was 2.45±1.91 without a significant intersexual difference. IR (cut-off point for HOMA-IR=3.16) was detected in 18.6% of adolescents (19.8% males, 17.6% females). IR was strongly associated with overweight/obesity (especially central) and with almost all monitored cardiometabolic factors, except for TC and systolic BP in females. The multivariate model selected variables such as low level of physical fitness, insufficient physical activity, breakfast skipping, a small number of daily meals, frequent consumption of sweetened beverages, and low educational level of fathers as the significant risk factors of IR in adolescents. Recognizing the main lifestyle risk factors and early IR identification is important in terms of the performance of preventive strategies. Weight reduction, regular physical activity, and healthy eating habits can improve insulin sensitivity and decrease the incidence of metabolic syndrome, type 2 diabetes, and CVD in adulthood.

scholarly journals Urbanicity and Lifestyle Risk Factors for Cardiometabolic Diseases in Rural Uganda: A Cross-Sectional Study

PLoS Medicine ◽  
2014 ◽  
Vol 11 (7) ◽  
pp. e1001683 ◽  
Author(s):  
Johanna Riha ◽  
Alex Karabarinde ◽  
Gerald Ssenyomo ◽  
Steven Allender ◽  
Gershim Asiki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Cardiometabolic Diseases ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk
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