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Objectives@#After heart disease, brain stroke (BS) is the second most common cause of death worldwide, underscoring the importance of understanding preventable and treatable risk factors for the outcomes of BS. This study aimed to model the survival of patients with BS in the presence of competing risks. @*Methods@#This longitudinal study was conducted on 332 patients with a definitive diagnosis of BS. Demographic characteristics and risk factors were collected by a validated checklist. Patients’ mortality status was investigated by telephone follow-up to identify deaths that may be have been caused by stroke or other factors (heart disease, diabetes, high cholesterol, etc.). Data were analyzed by the Lunn-McNeil approach at alpha=0.1. @*Results@#Older age at diagnosis (59-68 years: adjusted hazard ratio [aHR], 2.19; 90% confidence interval [CI], 1.38 to 3.48; 69-75 years: aHR, 5.04; 90% CI, 3.25 to 7.80; ≥76 years: aHR, 5.30; 90% CI, 3.40 to 8.44), having heart disease (aHR, 1.65; 90% CI, 1.23 to 2.23), oral contraceptive pill use (women only) (aHR, 0.44; 90% CI, 0.24 to 0.78) and ischemic stroke (aHR, 0.52; 90% CI, 0.36 to 0.74) were directly related to death from BS. Older age at diagnosis (59-68 years: aHR, 21.42; 90% CI, 3.52 to 130.39; 75-69 years: aHR, 16.48; 90% CI, 2.75 to 98.69; ≥76 years: aHR, 26.03; 90% CI, 4.06 to 166.93) and rural residence (aHR, 2.30; 90% CI, 1.15 to 4.60) were directly related to death from other causes. Significant risk factors were found for both causes of death. @*Conclusions@#BS-specific and non-BS-specific mortality had different risk factors. These findings could be utilized to prescribe optimal and specific treatment.
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OBJECTIVES@#The incidence of multimorbidity (MM) and its correlates among older adults remain poorly understood. This study aimed to examine the socio-demographic and lifestyle factors associated with MM in New Zealand. @*METHODS@#People aged 55-70 years were invited to participate in a population-based cohort study, the Health Work and Retirement Study, in 2006. Those who accepted the invitation and completed the baseline questionnaire were followed up on a biennial basis. Data on socio-demographic factors, health and lifestyle behaviours, and diagnoses of chronic diseases were obtained from baseline and 6 waves of follow-up. Generalised estimating equations (GEE) adjusted for both time-constant and time-varying factors were used to model factors associated with the onset of MM. @*RESULTS@#A total of 1,673 participants (with 0 or 1 chronic condition) contributed to an overall 8,616 person-years of observation. There were 590 new cases of MM over 10 years of follow-up, corresponding to an overall incidence of 68.5 per 1,000 person-years. The results of the age- and sex-adjusted GEE analysis showed that age, ethnicity, living alone, obesity, hypertension, and having 1 chronic condition at baseline were significant predictors of MM onset. Higher education, income, physical activity, and regular alcohol consumption were protective factors. In a fully adjusted model, marital status (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.01 to 1.37; p=0.039), hypertension (OR, 1.23; 95% CI, 1.02 to 1.48; p=0.032) and having 1 chronic condition at baseline (OR, 2.92; 95% CI, 2.33 to 3.67; p<0.001) remained significant. @*CONCLUSIONS@#The higher incidence of MM among Māori people, socioeconomically disadvantaged groups, those with low physical activity, and obese individuals highlights the importance of targeted prevention strategies.
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OBJECTIVES@#The incidence of multimorbidity (MM) and its correlates among older adults remain poorly understood. This study aimed to examine the socio-demographic and lifestyle factors associated with MM in New Zealand. @*METHODS@#People aged 55-70 years were invited to participate in a population-based cohort study, the Health Work and Retirement Study, in 2006. Those who accepted the invitation and completed the baseline questionnaire were followed up on a biennial basis. Data on socio-demographic factors, health and lifestyle behaviours, and diagnoses of chronic diseases were obtained from baseline and 6 waves of follow-up. Generalised estimating equations (GEE) adjusted for both time-constant and time-varying factors were used to model factors associated with the onset of MM. @*RESULTS@#A total of 1,673 participants (with 0 or 1 chronic condition) contributed to an overall 8,616 person-years of observation. There were 590 new cases of MM over 10 years of follow-up, corresponding to an overall incidence of 68.5 per 1,000 person-years. The results of the age- and sex-adjusted GEE analysis showed that age, ethnicity, living alone, obesity, hypertension, and having 1 chronic condition at baseline were significant predictors of MM onset. Higher education, income, physical activity, and regular alcohol consumption were protective factors. In a fully adjusted model, marital status (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.01 to 1.37; p=0.039), hypertension (OR, 1.23; 95% CI, 1.02 to 1.48; p=0.032) and having 1 chronic condition at baseline (OR, 2.92; 95% CI, 2.33 to 3.67; p<0.001) remained significant. @*CONCLUSIONS@#The higher incidence of MM among Māori people, socioeconomically disadvantaged groups, those with low physical activity, and obese individuals highlights the importance of targeted prevention strategies.
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This study examined the epidemiological characteristics and incidence over time of animal bites in Maku County. Data were obtained from health centre records of animal bites from 2003 to 2012. Information on demographic characteristics and bite-related factors were recorded. A total of 2232 people were bitten; the frequency of bites was highest among males [75.4%], rural residents [72.3%] and those < 20 years [47.3%]. Most bites were to the legs and feet [65%] and dogs were responsible for 92% of bites. Over 25% of those bitten delayed seeking care for more than a day, particularly rural residents. The mean incidence was 250 per 100 000 population and there was a statistically significant increasing linear trend over the 10-year period. There is a need to raise public awareness, especially among rural residents, of the importance of early treatment. Given the increasing trend in animal bites, a health policy to tackle this problem is needed
Subject(s)
Humans , Male , Female , Child , Adolescent , Adult , Middle Aged , Incidence , Dogs , Rural Population , Cross-Sectional StudiesABSTRACT
Background: Child abuse is a widespread social phenomenon with serious life-time consequences. Since parents bring their children to healthcare centers for growth screening and vaccinations, Community Health Workers play an important role in identifying and reporting child abuse cases. Thus, the current study aimed to investigate knowledge, attitude and performance of Community Health Workers regarding child abuse in Tabriz
Methods: This is a descriptive [cross-sectional] study; census method was used for sampling. Study population consists of 265 people, employed at units of family health and vaccination in Tabriz healthcare centers in 2015-2016. A questionnaire was used to collect the data. Data analysis was carried out using SPSS, version 23 through descriptive [mean and standard deviation] and analytical [Two Independent Samples T-test and analysis of variance] statistics
Results: Findings indicate that 58.5 percent of Community Health Workers had good knowledge about causes of child abuse and 45 percent had good knowledge of the signs, symptoms and complications of child abuse. Their total knowledge was good [57%]. The mean score of awareness [knowledge] was significant according to the variable of training participation [P=0.04]. The participants had a favorable attitude toward dealing with child abuse [91.3 %]; the mean score of attitude was significant according to the educational field [P<0.001] and their performance in dealing with child abuse was moderate and lower [94.3 %]
Conclusion: Community Health Workers had good knowledge regarding child abuse, favorable attitude toward dealing with child abuse, and poor performance in dealing with child abuse. This may be due to fear of side issues to deal with child abuse, or lack of clear legal guidelines regarding this