scholarly journals Comparison of The Risk Factors For Falls Among Older Adults Between Urban and Rural Areas of Shantou City, China

2020 ◽  
Author(s):  
Xiaodong Chen ◽  
Zeting Lin ◽  
Ran Gao ◽  
Yijian Yang ◽  
Liping Li

Abstract Background: To investigate the prevalence of falls and risk factors among older adults in urban and rural areas and to facilitate the design of fall prevention interventions.Methods: We used cluster random sampling to investigate the sociodemographic information, living habits, medical history, and falls among 649 older adult participants. Univariable and multivariable logistic regression was used to examine fall risk factors in urban and rural areas.Results: The fall rate and rate of injury from falls among older adults in urban areas were 27.3% and 18.6%, respectively, which were higher than those in rural areas (17.0% and 12.2%; P<0.05). Multivariable analysis showed that the risk factors for falls among urban older adults included a high school or below education level (OR=3.737, 95% CI: 1.503~9.291); diabetes medicine use (OR=4.518, 95% CI: 1.228~16.626); incontinence (OR=8.792, 95% CI: 1.894~40.824); lack of fall prevention education (OR = 11.907, 95% CI: 1.321~107.354); and reduced balance function (OR = 3.901, 95% CI: 1.894~7.815). The risk factors among rural older adults included a previous nonfarming occupation (OR=2.496, 95% CI: 1.416~4.398); incontinence (OR =11.396, 95% CI: 1.901~68.327); poor living environment (OR=3.457, 95% CI: 1.488~8.033); and reduced balance function (OR =4.260, 95% CI: 2.361~7.688).Discussion: The rate of falls among older adults in urban areas is higher than that in rural areas of Shantou City. Fall prevention in urban areas should target older adults with low education and modify the diabetes medication use. Interventions should focus on improving the home environment of older adults in rural areas.

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Susiana Nugraha ◽  
Sabarinah Prasetyo ◽  
Indri Hapsari Susilowati ◽  
Tri Budi W. Rahardjo

Falls are one of the common problems among older adults; it is estimated that 684,000 fatal cases of falls occur every year. Furthermore, falls constitute one of the leading causes of mortality due to accidental injury. This study aims to identify the risk factors for falls in the older adults who live in the community, according to the dimensions of the living area: in urban and rural. The proportional sampling method was used to identify the rural and urban areas in West Java Prefecture; meanwhile, the incidence of fall in the last 12 months was selected as the outcome variable. Furthermore, sociodemographic background, chronic medical condition, fear of falling, visual and hearing impairments, Activity of Daily Living (ADL), Barthel index, physical performance (Short Performance Physical Battery (SPPB)), and living environment were analyzed to identify the risk factors that contribute to the incidence of falls. A total of 611 older adults participated in this study: 62% of them are living in rural area and 38% of them are living urban areas. More than 70% of study participants were aged 60–69 years, while 73% were females. There is no significant difference in fall prevalence in rural (16.5%) and urban (10.7%) areas ( p value = 0.228). Furthermore, the multiple logistic regression analysis showed that the male gender (OR = 0.29, 95%CI [0.09–0.88]), chronic illness (OR = 3.25, 95%CI [1.24–8.53]), and visual impairment (OR = 3.6, 95%CI [1.52–8.54]) were associated with fall among older adults in urban areas. Meanwhile, visual impairment (OR = 1.81, 95%CI [1.03–3.18]) and living environment (OR = 3.36, 95% CI [1.14–9.93]) were significantly associated with falls in rural areas. Based on the associated risk factors identified in this study, a different approach is needed to reduce the falling risk among older adults in urban and rural areas in Indonesia.


Author(s):  
Xiaodong Chen ◽  
Zeting Lin ◽  
Ran Gao ◽  
Yijian Yang ◽  
Liping Li

Background: To investigate the prevalence of falls and associated factors among older adults in urban and rural areas and to facilitate the design of fall prevention interventions. Methods: We used cluster random sampling to investigate the sociodemographic information, living habits, medical status, falls, home environment, and balance ability among 649 older adult participants. Univariate and multivariate logistic regression were used to examine the associated factors of falls. Results: The incidence of falls among older adults in Shantou City was 20.65%. Among them, the incidence was 27.27% in urban areas and 16.99% in rural areas. The rate of injury from falls among older adults was 14.48%, with18.61% in urban area and 12.20% in rural area. Multivariate analysis showed that the associated factors of falls among older adults in Shantou City included a high school or below education level (OR = 2.387, 95% CI: 1.305–4.366); non-farming as the previous occupation (OR = 2.574, 95% CI: 1.613–4.109); incontinence(OR = 2.881, 95% CI: 1.517–5.470); lack of fall prevention education (OR = 1.856, 95% CI: 1.041–3.311); and reduced balance ability (OR = 3.917, 95% CI: 2.532–6.058). Discussion: Older adults have a higher rate of falling in Shantou City, compared to the average rate in China. There are similarities and differences in the associated factors of falls among older adults between urban and rural areas of Shantou City. Targeted interventions for older adults in different regions may be more effective in reducing the risk of falls.


2021 ◽  
Author(s):  
Shekhar Chauhan ◽  
Shobhit Srivast ◽  
Pradeep Kumar ◽  
Ratna Patel

Abstract Background: Multimorbidity is defined as the co-occurrence of two or more than two diseases in the same person. With rising longevity, multimorbidity has become a prominent concern among the older population. Evidence from both developed and developing countries shows that older people are at much higher risk of multimorbidity, however, urban-rural differential remained scarce. Therefore, this study examines urban-rural differential in multimorbidity among older adults by decomposing the risk factors of multimorbidity and identifying the covariates that contributed to the change in multimorbidity.Methods: The study utilized information from 31,464 older adults (rural-20,725 and urban-10,739) aged 60 years and above from the recent release of the Longitudinal Ageing Study in India (LASI) wave 1 data. Descriptive, bivariate, and multivariate decomposition analysis techniques were used.Results: Overall, significant urban-rural differences were found in the prevalence of multimorbidity among older adults (difference: 16.3; p<0.001). Moreover, obese/overweight and high-risk waist circumference were found to narrow the difference in the prevalence of multimorbidity among older adults between urban and rural areas by 8% and 9.1%, respectively.Conclusion: There is a need to substantially increase the public sector investment in healthcare to address the multimorbidity among older adults, more so in urban areas, without compromising the needs of older adults in rural areas.


2020 ◽  
Author(s):  
Yuri Sasaki ◽  
Yugo Shobugawa ◽  
Ikuma Nozaki ◽  
Daisuke Takagi ◽  
Yuiko Nagamine ◽  
...  

Abstract BackgroundFew studies have examined whether objective or subjective economic status (ES) has a greater effect on the happiness of older adults in developing countries with ageing populations. This study examined whether objective/subjective economic status (ES) is associated with happiness in older adults in Myanmar.MethodA multistage, random sampling procedure and face-to-face interviews were conducted in urban and rural areas in Myanmar. The happiness of 1,200 participants aged 60+ was evaluated using a single happiness score of 0 (very unhappy) to 10 (very happy). The wealth index, used as an objective economic indicator, was calculated from household asset items. Subjective economic status was assessed by asking “Which of the following best describes your current financial situation in light of general economic conditions?” The possible responses ranged from (1) very difficult to (5) very comfortable. ResultsThe mean happiness score was lower among participants with low objective and subjective ES than among those with medium or high objective ES (6.24 versus 6.80 points, p < 0.001) and average or higher subjective ES (5.62 versus 6.83 points, p < 0.001), respectively. Both low objective and subjective ES were negatively associated with happiness after adjusting for confounding variables (B: -0.41, 95% confidence interval [CI]: -0.69, -0.13 and B: -0.71, 95% CI: -1.00, -0.42, respectively) and stratification by region (low objective ES, urban: B: -0.52, 95% CI: -1.03, -0.02; low subjective ES, urban: B: -0.50, 95% CI: -0.96, -0.03; low objective ES, rural: B: -0.37, 95% CI: -0.73, -0.02; and low subjective ES, rural: B: -0.80, 95% CI: -1.18, -0.41). ConclusionsIn Myanmar, both objective and subjective ES might influence happiness among older adults. Although they had a similar impact on happiness in urban areas, subjective ES had a stronger impact in rural areas. Interventions for promoting happiness in older adults should consider differences in how objective/subjective ES impacts happiness in different regions, and focus should be placed not only on improving objective ES but also subjective ES in society.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S471-S472
Author(s):  
Andre G Bouweraerts ◽  
Justus Ortega

Abstract Within California, older adults living in rural counties have reported higher rates of falls than urban dwelling older adults. Although many Indigenous people live in rural areas, it is unclear whether the rate of falls among Indigenous older adults is similar to that of non-indigenous older adults living in rural areas. Thus, the purpose of this study was to examine fall risk behaviors and intrinsic risk factors for falls in rural dwelling Indigenous (N = 89), and non-Indigenous (N = 68) older adults 60-95 years of age living in California. Results showed that both Indigenous and non-Indigenous older adults share similarly high fall rates, but there are a much greater number of Indigenous older adults falling multiple times a year. Moreover, fall risk behaviors and intrinsic fall risk factors were significantly different between Indigenous and non-Indigenous rural-dwelling older adults. Future studies should investigate falls and fall risk factors in different tribes/locations of Indigenous older adults to better understand whether these risk factors differ among tribes. Moreover, it would be beneficial for future studies to assess the effectiveness of fall prevention exercises on fall risk in these communities. Information gained from this study helps to inform clinicians and researchers alike about the prevalence of falls and factors contributing to falls among Indigenous older adults living in rural communities; and helps to influence decisions in the future of programs for reducing fall risk in this often neglected population.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S847-S847
Author(s):  
liangwen zhang ◽  
Ya Fang

Abstract Disability for the elderly has become a crucial policy concerns in rapidly aging Asia counties, especially in China. This study aimed to predict the trend of the number of and care costs for disabled older adults from 2020 to 2050 in urban and rural areas in China. Population Administration Decision Information System was used to predict the population of China by urban and rural areas and age group from 2020 to 2050. Monte Carlo simulation and Policy Simulation Model were used to estimate the number and care costs of disabled elderly between urban and rural areas, based on the Chinese latest census data, statistical yearbook, and national survey database. The total disabled population rises rapidly from 43.75 million in 2020 to 91.4 million in 2050, of which 69.7% were urban adults. Compared with the values in 2020, the growth rates of the adults with mild, moderate and severe disabilities were 108%, 104% and 120% in 2050, respectively. The value were 167% and 39% in urban and rural areas, respectively. By 2050, the total care costs increase from 538.0 billion yuan in 2020 to 8530.8 billion yuan, of which 80.2% occurs in urban areas. The predicted results indicate that the numbers and care costs for disabled older adults increase sharply from 2020 to 2050, especially in urban areas of China. It provided a series of evidence for the establishment of the long-term care insurance system in China.


Author(s):  
Hsiu-Ju Huang ◽  
Chih-Wei Lee ◽  
Tse-Hsi Li ◽  
Tsung-Cheng Hsieh

This cross-sectional study aimed to investigate the difference in ranking of risk factors of onset age of acute myocardial infarction (AMI) between urban and rural areas in Eastern Taiwan. Data from 2013 initial onset of AMI patients living in the urban areas (n = 1060) and rural areas (n = 953) from January 2000 to December 2015, including onset age, and conventional risk factors including sex, smoking, diabetes, hypertension, dyslipidemia, and body mass index (BMI). The results of multiple linear regressions analysis showed smoking, obesity, and dyslipidemia were early-onset reversible risk factors of AMI in both areas. The ranking of impacts of them on the age from high to low was obesity (β = −6.7), smoking (β = −6.1), and dyslipidemia (β = −4.8) in the urban areas, while it was smoking (β = −8.5), obesity (β= −7.8), and dyslipidemia (β = −5.1) in the rural areas. Furthermore, the average onset ages for the patients who smoke, are obese, and have dyslipidemia simultaneously was significantly earlier than for patients with none of these comorbidities in both urban (13.6 years) and rural (14.9 years) areas. The findings of this study suggest that the different prevention strategies for AMI should be implemented in urban and rural areas.


Author(s):  
Bhuyan KC

The paper was to throw some light on the risk factors for diabetes disability among Bangladeshi adults of 18 years and above residing in both urban and rural areas. In investigating the adults, it was decited to cover 50.1% males and 49.9% females to maintain the national level of sex ratio in the sample. The respondents were interviewed when they were visiting some diagnostic centres in urban and semi-urban areas. The percentage of diabetic respondents included in the sample was 67% and 25.5% of them were suffering for 10 years and above, 6.4% were disable against 4.8% total disable respondents in the sample, and obese adults were 30.2%. Diabetic disable adults in the sample were 4.3%. The most responsible variable for diabetes disability was obesity followed by longer duration of diabetes, sedentary activity, smoking habit, being housewife, being married, etc. These variables were identified on the basis of risk ratio and correlation coefficients of variables and discriminant function scores. Beside these variables, rural people, Muslims, adults of ages 40-50 years, illiterate people had more risk of facing the problem of diabetes disability.


2022 ◽  
Vol 5 (1) ◽  
pp. 01-07
Author(s):  
K.C. Bhuyan

The paper was to throw some light on the risk factors for diabetes disability among Bangladeshi adults of 18 years and above residing in both urban and rural areas. In investigating the adults, it was decided to cover 50.1% males and 49.9% females to maintain the national level of sex ratio in the sample. The respondents were interviewed when they were visiting some diagnostic centres in urban and semi-urban areas. The percentage of diabetic respondents included in the sample was 67% and 25.5% of them were suffering for 10 years and above, 6.4% were disable against 4.8% total disable respondents in the sample, and obese adults were 30.2%. Diabetic disable adults in the sample were 4.3%. The most responsible variable for diabetes disability was obesity followed by longer duration of diabetes, sedentary activity, smoking habit, being housewife, being married, etc. These variables were identified on the basis of risk ratio and correlation coefficients of variables and discriminant function scores. Beside these variables, rural people, Muslims, adults of ages 40 – 50 years, illiterate people had more risk of facing the problem of diabetes disability.


2020 ◽  
Author(s):  
Myeongkyu Kim ◽  
Misoo Chang ◽  
Eunwoo Nam ◽  
Seul Gi Kim ◽  
Sung-il Cho ◽  
...  

Abstract BackgroundFalling is one of the leading causes of injury among elderly populations. As the population over 65 years old increases, medical costs due to falling will also increase. Urban and rural areas have different fall characteristics, and research into these differences is lacking.MethodsA survey was conducted on 2,012 people over 60 years old between September 1, 2015 to October 12, 2015. Guro-gu (Seoul), Yeongdeungpo-gu (Seoul), and Jung-gu (Daegu) were classified as urban areas and included 1,205 of the study participants. Dalseong-gun (Daegu) and Yangpyeong-gun (Gyeonggi-do) were categorized as rural areas and included 807 participants. Several region characteristics, including population density, were considered to distinguish between urban and rural areas. The survey included questions about fall history, cause, season and time of recent falls, and external conditions associated with recent falls, like floor or ground material and shoe types.ResultsRural respondents were older than urban respondents (p<0.001) but did not differ significantly in gender proportion (p=0.082). Fall history over the past year was not different between the two regions (p=0.693), but lifetime fall history was greater among rural respondents (p<0.001). Only 5.1% of all respondents had undergone fall-prevention education. A slippery floor was the most common cause of falls in both regions, but there was a significant difference in pattern of fall causes (p<0.001). Falls were more frequent in the summer, spring, and the afternoon in urban areas, and in the summer, autumn, and the morning in rural areas. Cement and asphalt were the most common ground materials at the time of falls in both regions, but rural respondents had higher fall rates when walking on soil and when wearing slippers.ConclusionsA fall-prevention program that reflects the characteristics and differences of falls in urban and rural areas should be developed and used to effectively prevent falling among elderly people.


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