scholarly journals Generational Difference of Axial Length and Its Risk Factors in Urban and Rural China

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Zhong Lin ◽  
Balamurali Vasudevan ◽  
Kenneth J Ciuffreda ◽  
Tie Ying Gao ◽  
Hong Jia Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Axial Length ◽  
Rural Areas ◽  
Rural China ◽  
Chinese Children ◽  
Older Children ◽  
Myopia Progression ◽  
Multivariable Regression ◽  
The Difference ◽  
Urban And Rural Areas

Purpose. To compare the axial length difference (ALD) and the estimated generational axial length shift (ALS) from parents to their children and its risk factors in urban and rural China. Methods. Participants were enrolled from two longitudinal cohort studies, the Beijing Myopia Progression Study (BMPS) and the Handan Offspring Myopia Study (HOMS). Ocular biometry was performed in both parents and their children. ALD was defined as the difference between the children’s axial length and the corresponding parental axial length. Generational ALS was estimated according to a binominal prediction model at 18 years of age. Results. 237 and 380 urban and rural Chinese children (6–17 years) and their parents from the BMPS and HOMS, respectively, were enrolled. Children’s axial length was estimated to be closest to the parental axial length at 11 and 9 years of age in the urban and rural areas, respectively; the estimated generational ALS would be 1.53 and 0.57 mm, respectively. Multivariable regression analysis revealed that older children (urban β = 0.26, p<0.001; rural β = 0.11, p<0.001) and males had larger ALD (urban β = 0.55, p<0.001; rural β = 0.52, p<0.001) in both areas. Furthermore, urban children with more educated parents (fathers: β = −0.30, p=0.002; mothers: β = −0.29, p=0.004) and more outdoor activity (β = −0.23, p=0.006) had a less ALD. Conclusions. The urban generational axial length shift was estimated to be approximately 1 mm longer than that of the rural area. These results suggest different environmental effects on the ocular development in these two populations of Chinese children.

scholarly journals Different Patterns in Ranking of Risk Factors for the Onset Age of Acute Myocardial Infarction between Urban and Rural Areas in Eastern Taiwan

2021 ◽  
Vol 18 (11) ◽  
pp. 5558
Author(s):  
Hsiu-Ju Huang ◽  
Chih-Wei Lee ◽  
Tse-Hsi Li ◽  
Tsung-Cheng Hsieh
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Rural Areas ◽  
Urban Areas ◽  
Cross Sectional Study ◽  
Onset Age ◽  
Cross Sectional ◽  
The Difference ◽  
Urban And Rural Areas

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.

scholarly journals The Prevalence and Awareness of Cardiovascular Diseases Risk Factors among the Lebanese Population: A Prospective Study Comparing Urban to Rural Populations

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Iqbal Fahs ◽  
Zainab Khalife ◽  
Diana Malaeb ◽  
Mohammad Iskandarani ◽  
Pascale Salameh
Keyword(s):  
Risk Factors ◽  
Rural Areas ◽  
Overweight And Obesity ◽  
Undiagnosed Diabetes ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Undiagnosed Hypertension ◽  
Lebanese Population ◽  
Urban And Rural Areas ◽  
A Prospective Study

Introduction. CVDs are largely driven by modifiable risk factors. This study sought to determine the awareness and prevalence of the modifiable CVDs risk factors among the Lebanese population.Methods. In a cross-sectional survey, 1000 participants aged ≥ 45 years were randomly selected from pharmacies and interviewed. The data was analyzed with SPSS version 21.0 software.Results. Differences between urban and rural areas include alcohol consumption (2.8% versus 1.7%;p=0.0001), cardioprotective vegetable servings (6.1% versus 2.3%;p=0.016), sedentary hours per day (18.6% versus 15.1%;p=0.002), and hypertension (38.5% versus 25.4%;p=0.001). The prevalence of overweight and obesity (77.3% versus 75.2%;p=0.468), smoking (39.3% versus 43.3%;p=0.232), diabetes (25.4% versus 21.4%;p=0.173), and dyslipidemia (25 versus 21.2%) was reported. Measurements revealed 19.3% of undiagnosed hypertension (12.4% versus 22.4%,p=0.001), 61.7% of hypertension (59.8% versus 62.6%;p=0.203), and 7.9% of undiagnosed diabetes (6.6% versus 8.6%;p=0.323). The declared awareness of CVDs risk factors was highest for smoking (91.5% versus 89.7%;p=0.339) and lowest for diabetes (54.4 versus 55.7%;p=0.692).Conclusion. This study has shown a high prevalence of modifiable CVDs risk factors in the Lebanese population ≥ 45 years, among which hypertension is the most prominent.

scholarly journals Decomposing Urban-rural Differences in Multimorbidity Among Older Adults in India: A Study Based on Lasi Data

2021 ◽  
Author(s):  
Shekhar Chauhan ◽  
Shobhit Srivast ◽  
Pradeep Kumar ◽  
Ratna Patel
Keyword(s):  
Older Adults ◽  
Rural Areas ◽  
Urban Areas ◽  
Decomposition Analysis ◽  
The Public ◽  
Analysis Techniques ◽  
Ageing Study ◽  
Urban Rural ◽  
The Difference ◽  
Urban And Rural Areas

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.

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
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Fall Prevention ◽  
Rural Areas ◽  
Urban Areas ◽  
Multivariable Analysis ◽  
Living Environment ◽  
Balance Function ◽  
Urban And Rural Areas ◽  
Risk Factors For Falls

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.

Comparisons of the prevalence of and risk factors for elderly depression between urban and rural populations in Japan

2012 ◽  
Vol 24 (8) ◽  
pp. 1235-1241 ◽  
Author(s):  
Y. Abe ◽  
N. Fujise ◽  
R. Fukunaga ◽  
Y. Nakagawa ◽  
M. Ikeda
Keyword(s):  
Risk Factors ◽  
Social Support ◽  
Sleep Disturbance ◽  
Rural Areas ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Sampling Procedure ◽  
Financial Strain ◽  
Poor Social Support ◽  
Urban And Rural Areas

ABSTRACTBackground: The aim of the present study was to investigate the differences in the prevalence of and risk factors for elderly depression between urban and rural areas in Japan and to further understanding of the features of elderly depression.Methods: A multistage, random sampling procedure and mailing method were used in urban and rural areas in Kumamoto Prefecture. A total of 2,152 participants aged 65 years and older were evaluated for depression using the Geriatric Depression Scale (GDS). Factors associated with depression were also examined. In order to assess the relationship between risk factors and subjective happiness, the Philadelphia Geriatric Center Morale Scale (PGC-MS) was used.Results: Depressive symptoms were associated with living alone, being unemployed, chronic illness, sleep disturbance, suicidal ideation, financial strain, and poor social support; the risk factors for elderly depression were almost the same in the two areas. Although three factors (financial strain, work status, and PGC-MS) were significantly associated with depression in both areas on logistic regression analysis, sleep disturbance was significant only for the urban area, and poor social support was significant only for the rural area.Conclusions: Although factors related to depression did not differ markedly between urban and rural elderly people, some risk factors differed between the two areas. Effective intervention programs for elderly depression should pay more attention to regional differences.

Risk factors and features of stroke among young persons in urban and rural areas of the Tambov Region

2021 ◽  
pp. 45-52
Author(s):  
Ekaterina B. Zvonareva ◽  
Lubov I. Grigorova
Keyword(s):  
Risk Factors ◽  
Rural Areas ◽  
Cerebral Circulation ◽  
Young Patients ◽  
Clinical Hospital ◽  
Regional Features ◽  
Urban And Rural Areas ◽  
Concomitant Factors ◽  
Causes And Risk Factors

Since 2011 according to the national project “Health” the Regional Vascular Center has been operating on the basis of the Tambov Regional Clinical Hospital. This is a ward for patients with acute cerebral circulation disorder. Since 2017 there has been an increase in patients due to an increase in the number of attached population to Tambov Regional Clinical Hospital and, accordingly, unfortunately, the mortality rate from acute cerebral circulation disorder has been increasing. Between 2016 and 2020, a study was conducted based on the follow-up of young patients with hemorrhagic and ischemic stroke. In the study we emphasized the research of regional features of the structure, causes, and risk factors of stroke in persons in the city of Tambov and the districts of the Tambov Region. We verified pathogenetic subtypes of stroke among young patients. We identified and considered main and concomitant factors determining stroke outcome, degree of neurological deficiency, and disabled patients. We identified the leading causes of stroke in persons, the main of which were: arterial hypertension, cardiac pathology, atherosclerosis.

scholarly journals Urban heat island: Aerodynamics or imperviousness?

2019 ◽  
Vol 5 (4) ◽  
pp. eaau4299 ◽  
Author(s):  
Dan Li ◽  
Weilin Liao ◽  
Angela J. Rigden ◽  
Xiaoping Liu ◽  
Dagang Wang ◽  
...  
Keyword(s):  
Green Infrastructure ◽  
Rural Areas ◽  
Land Surface ◽  
Urban Heat Islands ◽  
Lower Atmosphere ◽  
Geographic Variations ◽  
Heat Islands ◽  
Urban Heat ◽  
The Difference ◽  
Urban And Rural Areas

More than half of the world’s population now live in cities, which are known to be heat islands. While daytime urban heat islands (UHIs) are traditionally thought to be the consequence of less evaporative cooling in cities, recent work sparks new debate, showing that geographic variations of daytime UHI intensity were largely explained by variations in the efficiency with which urban and rural areas convect heat from the land surface to the lower atmosphere. Here, we reconcile this debate by demonstrating that the difference between the recent finding and the traditional paradigm can be explained by the difference in the attribution methods. Using a new attribution method, we find that spatial variations of daytime UHI intensity are more controlled by variations in the capacity of urban and rural areas to evaporate water, suggesting that strategies enhancing the evaporation capability such as green infrastructure are effective ways to mitigate urban heat.

Prevalence and risk factors of pseudomyopia in a Chinese children population: the Anyang Childhood Eye Study

2020 ◽  
pp. bjophthalmol-2020-316341
Author(s):  
Meng-Tian Kang ◽  
Catherine Jan ◽  
ShiMing Li ◽  
Mayinuer Yusufu ◽  
Xintong Liang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Independent Risk Factor ◽  
Chinese Children ◽  
Spherical Equivalent ◽  
Market Survey ◽  
Myopia Progression ◽  
School Based ◽  
Near Work ◽  
Myopic Progression

AimsTo investigate the prevalence and predictors of pseudomyopia in Chinese children and its association with myopia progression.MethodsA prospective, school-based, cohort study of 6- and 13-year-old children was conducted in Anyang, China. Pre-cycloplegic and post-cycloplegic autorefraction were performed at baseline and 1 year later. Pseudomyopia was defined as spherical equivalent refractive (SER) error in the better–seeing eye ≤−0.50 D before cycloplegia and >−0.50 D after cycloplegia. Among pseudomyopic children, pseudomyopic power was defined as non-cycloplegic SER subtracted from cycloplegic SER. Market survey was collected in all optometry stores in Anyang city to investigate how cycloplegia is used for refracting children.ResultsA total of 2612 children aged 6 years and 1984 children aged 13 years were included. Of the two cohorts, median cycloplegic SER (IQR) was 1.00 D (0.50, 1.38) and −1.13 D (−2.63, 0.13) respectively, myopia prevalence was 5.2% and 61.0%, pseudomyopia prevalence was 24.1% and 18.9%, and median pseudomyopic power was 1.13 D (0.63, 1.63) and 0.38 D (0.13, 0.88). In both cohorts, greater baseline hyperopia was the strongest predictor of pseudomyopia (p<0.001), whereas time spent on near work was not associated with pseudomyopic power (p>0.05). After 1 year, 15.6% (98/629) of 6-year-olds and 10.7% (40/374) of 13-year-olds with pseudomyopia developed myopia. Compared with myopes, pseudomyopic children with the same pre-cycloplegic SER had slower myopic progression (p<0.001). Among all 127 optometry stores in Anyang, only 4 (3.15%) used cycloplegia for refracting children.ConclusionPseudomyopia is more prevalent in younger, more hyperopic children. Pseudomyopia is not an independent risk factor for myopic progression in this setting.

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