scholarly journals THE INFLUENCE OF LONELINESS AND RURAL RESIDENCE ON DEPRESSION IN LATER LIFE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S828-S828
Author(s):  
Na Sun ◽  
Cassandra Hua ◽  
Xiao Qiu ◽  
J Scott Brown
Keyword(s):  
Older Adults ◽  
Rural Areas ◽  
Urban Areas ◽  
Later Life ◽  
Rural Residence ◽  
Time Data ◽  
Latent Curve ◽  
Rural Residency ◽  
Latent Curve Models ◽  
Over Time

Abstract Loneliness is associated with depression among older adults. Limited research has examined the role of rurality in relationship to loneliness and depression; the extant research has mixed findings. The socioemotional selectivity theory states that as people age the quality of relationships become more important than the quantity (English & Carstensen, 2016). Individuals in rural areas may have a low quantity of relationships but deeper social ties within the community; thus, they may be less likely to become depressed over time. The association between loneliness and depression may be amplified for people in non-rural areas because they are surrounded by other people but lack close relationships that are most important during the aging process. This study examines the effect of living in rural areas on loneliness on predicting baseline depression and loneliness, as well as changes in these outcomes over time. Data are from the 2006-2014 waves of Health Retirement Study. Regression models examine the relationship between depression loneliness and rural residence controlling for health conditions and demographic characteristics. Latent curve models examine the disparity in trajectories of loneliness and depressive symptoms by urban and rural residence. Older adults who feel lonely (p<.001) and in urban areas (p<.0.05) are more likely to be depressed. Furthermore, the effect of loneliness on depression is weakened by rural residence (p<.05). It is salient to understand the protective effect of rural residency on depression among older adults in the U.S. We discuss implications for policy.

scholarly journals Rural–Urban Differences in the Factors Affecting Depressive Symptoms among Older Adults of Two Regions in Myanmar

2021 ◽  
Vol 18 (6) ◽  
pp. 2818
Author(s):  
Yuri Sasaki ◽  
Yugo Shobugawa ◽  
Ikuma Nozaki ◽  
Daisuke Takagi ◽  
Yuiko Nagamine ◽  
...  
Keyword(s):  
Older Adults ◽  
Middle School ◽  
Depressive Symptoms ◽  
Rural Areas ◽  
Urban Areas ◽  
Depression Scale ◽  
Wealth Index ◽  
School Level ◽  
Cross Sectional ◽  
Middle School Level

The aim of the study was to investigate rural–urban differences in depressive symptoms in terms of the risk factors among older adults of two regions in Myanmar to provide appropriate intervention for depression depending on local characteristics. This cross-sectional study, conducted between September and December, 2018, used a multistage sampling method to recruit participants from the two regions, for face-to-face interviews. Depressive symptoms were assessed using the 15-item version of the Geriatric Depression Scale (GDS). Depressive symptoms were positively associated with living in rural areas (B = 0.42; 95% confidence interval (CI): 0.12,0.72), female (B = 0.55; 95% CI: 0.31,0.79), illness during the preceding year (B = 0.68; 95% CI: 0.45,0.91) and non-Buddhist religion (B = 0.57; 95% CI: 0.001,1.15) and protectively associated with education to middle school level or higher (B = −0.61; 95% CI: −0.94, −0.28) and the frequency of visits to religious facilities (B = −0.20; 95% CI: −0.30, −0.10). In women in urban areas, depressive symptoms were positively associated with illness during the preceding year (B = 0.78; 95% CI: 0.36, 1.20) and protectively associated with education to middle school level or higher (B = −0.67; 95% CI: −1.23, −0.11), middle or high wealth index (B = −0.92; 95% CI: −1.59, −0.25) and the frequency of visits to religious facilities (B = −0.20; 95% CI: −0.38, −0.03). In men in rural areas, illness during the preceding year was positively associated with depressive symptoms (B = 0.87; 95% CI: 0.33, 1.42). In women in rural areas, depressive symptoms were positively associated with illness during the preceding year (B = 0.83; 95% CI: 0.36, 1.30) and protectively associated with primary education (B = −0.62; 95% CI: −1.12, −0.12) and the frequency of visits to religious facilities (B = −0.44; 95% CI: −0.68, −0.21). Religion and wealth could have different levels of association with depression between older adults in the urban and rural areas and men and women. Interventions for depression in older adults should consider regional and gender differences in the roles of religion and wealth in Myanmar.

scholarly journals Social Integration and Depression of Older Adults in Rural China: Do Family or Friendship Ties Make a Difference?

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 580-580
Author(s):  
Dan Zhang ◽  
Zhiyong Lin ◽  
Shuzhuo Li
Keyword(s):  
Older Adults ◽  
Social Integration ◽  
Rural Areas ◽  
Important Determinant ◽  
Rural China ◽  
Later Life ◽  
Social Contexts ◽  
Limited Data ◽  
Family Ties ◽  
Relevant Evidence

Abstract Despite increasing acknowledgement that social integration/isolation is an important determinant of health in later life, relevant evidence for older adults in less developed social contexts is still limited. Data derived from 2015 and 2018 waves of a longitudinal study of 976 older adults, aged 60 and older, living in rural areas of Anhui Province, China. We analyzed how the level of social integration/isolation (measured as family and friendship ties) impacted depressive symptoms of older adults. Our results showed that more than half of older adults in our sample were either isolated from family or friends. Further analysis demonstrated that older people who were isolated from friends were more depressed in comparison with those who were closely integrated into friendship ties, while no such association was found in relation to family ties. Assessments of social integration among older adults should account for both family and friendship ties.

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 Identification of Coronary Risk Factors Among Urban and Rural Malaysian Youths and Their Possible Underlying Causes

2021 ◽  
Author(s):  
Noor Shafina Mohd Nor ◽  
Yung-An Chua ◽  
Suraya Abdul Razak ◽  
Zaliha Ismail ◽  
Hapizah Mohd Nawawi
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Rural Areas ◽  
Urban Areas ◽  
Density Lipoprotein ◽  
Later Life ◽  
High Risk Group ◽  
Coronary Risk Factors ◽  
Coronary Risk ◽  
History Of

Abstract Background: Coronary artery disease (CAD) is one of the major causes of morbidity and mortality worldwide. Early identification of the coronary risk factors (CRF) among youths assists in determining the high-risk group to develop CAD in later life. In view of the modernised lifestyle, both urban and rural residing youths are thought to be equally exposed to various CRF. This study aimed to describe the common CRF including obesity, dyslipidaemia, hypertension, smoking and family history of premature CAD in Malaysian youths residing in urban and rural areas. Methods: We recruited 942 Malaysian subjects aged 15–24 years old [(males=257, and urban=555 vs rural=387, (mean age + SD = 20.5 + 2.1 years)] from the community health screening programmes organised in both rural and urban regions throughout Malaysia. Medical history and standardised anthropometric measurements were recorded. Laboratory investigations were obtained for fasting serum lipid profiles and plasma glucose levels. Results: Youths in the rural were more overweight and obese (49.4% vs 42.7%, p<0.044) and have higher family history of hyperlipidaemia (16.3% vs 11.3%, p<0.036) than youths in the urban areas. Low-density lipoprotein (LDL-c) (2.8 vs 2.7 mmol/L) and total cholesterol (TC) (4.7 vs 4.5 mmol/L) were significantly higher in urban compared to rural youths (p<0.019 and p<0.012). Overall, more youth in this study has CRF rather than not (Has CRF = 67.0% vs No CRF = 33.0%). Significantly more rural youths have at least one CRF compared to urban youths (rural = 71.6% vs urban = 63.8%, p=0.012). Conclusion: In conclusion, rural youths have significantly higher BMI with higher family history of hyperlipidaemia compared to urban youths. However, urban youths have higher LDL-c and TC levels. Other coronary risk factors are not significantly different between urban and rural youths. CRF were significantly more prevalent among rural compared to urban youths.

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.

scholarly journals Analyses of Nocturnal Temperature Cooling-Rate Response to Historical Local-Scale Urban Land-Use/Land Cover Change

2011 ◽  
Vol 50 (9) ◽  
pp. 1872-1883 ◽  
Author(s):  
Winston T. L. Chow ◽  
Bohumil M. Svoma
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Cooling Rate ◽  
Rural Areas ◽  
Urban Areas ◽  
Local Scale ◽  
Urban Land Use ◽  
Cooling Rates ◽  
Near Surface ◽  
Over Time

AbstractUrbanization affects near-surface climates by increasing city temperatures relative to rural temperatures [i.e., the urban heat island (UHI) effect]. This effect is usually measured as the relative temperature difference between urban areas and a rural location. Use of this measure is potentially problematic, however, mainly because of unclear “rural” definitions across different cities. An alternative metric is proposed—surface temperature cooling/warming rates—that directly measures how variations in land-use and land cover (LULC) affect temperatures for a specific urban area. In this study, the impact of local-scale (<1 km2), historical LULC change was examined on near-surface nocturnal meteorological station temperatures sited within metropolitan Phoenix, Arizona, for 1) urban versus rural areas, 2) areas that underwent rural-to-urban transition over a 20-yr period, and 3) different seasons. Temperature data were analyzed during ideal synoptic conditions of clear and calm weather that do not inhibit surface cooling and that also qualified with respect to measured near-surface wind impacts. Results indicated that 1) urban areas generally observed lower cooling-rate magnitudes than did rural areas, 2) urbanization significantly reduced cooling rates over time, and 3) mean cooling-rate magnitudes were typically larger in summer than in winter. Significant variations in mean nocturnal urban wind speeds were also observed over time, suggesting a possible UHI-induced circulation system that may have influenced local-scale station cooling rates.

4. Social and interpersonal aspects of ageing

2016 ◽  
pp. 66-86
Author(s):  
Nancy A. Pachana
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Social Environment ◽  
Life Events ◽  
Later Life ◽  
Well Being ◽  
Role Changes ◽  
Technological Advances ◽  
Societal Context ◽  
Over Time

How we interact with others, with the physical and social environment, as well as how well we cope with life events, role changes, and positive and negative stresses all affect how we age. Later life is also intimately connected to, and affected by, circumstances and decisions earlier in life. Social support and engagement are critical for physical and emotional well-being. ‘Social and interpersonal aspects of ageing’ explores ageing in a social and societal context. The ways in which older adults engage with younger cohorts and their contribution to their family, communities, and society more broadly have changed over time and have also been affected by social and technological advances.

scholarly journals Environmental Characteristics Associated with Older Adults’ Social Participation: The Contribution of Sociodemography and Transportation in Metropolitan, Urban, and Rural Areas

2020 ◽  
Vol 17 (22) ◽  
pp. 8399
Author(s):  
Mélanie Levasseur ◽  
Daniel Naud ◽  
Jean-François Bruneau ◽  
Mélissa Généreux
Keyword(s):  
Older Adults ◽  
Social Participation ◽  
Public Transportation ◽  
Rural Areas ◽  
Urban Areas ◽  
Social Deprivation ◽  
Metropolitan Areas ◽  
Secondary Data ◽  
Local Environment ◽  
Environmental Characteristics

Although social participation fosters older adults’ health, little is known about which environmental characteristics are related to greater participation in social activities. The Canadian Community Health Survey (n = 2737), a transportation survey, and multiple secondary data sources were used to identify the environmental characteristics associated with older Quebecers’ social participation according to living area. Greater social participation was associated with: (1) a higher concentration of older adults (IRR = 2.172 (95% CI 1.600, 2.948); p < 0.001), more kilometers traveled by paratransit (IRR = 1.714 (95% CI 1.286, 2.285); p < 0.01), a lack of medical clinics (IRR = 0.730 (95% CI 0.574, 0.930); p = 0.01), and more funded home adaptations (IRR = 1.170 (95% CI 1.036, 1.320); p = 0.01) in large metropolitan areas; (2) larger paratransit fleets (IRR = 1.368 (95% CI 1.044, 1.791); p = 0.02) and a lower density of road intersections (IRR = 0.862 (95% CI 0.756, 0.982); p = 0.03) in regular metropolitan areas; (3) less social deprivation (IRR = 1.162 (95% CI 1.025, 1.318); p = 0.02) in urban areas; and (4) a higher concentration of older populations (IRR = 2.386 (95% CI 1.817, 3.133); p < 0.001) in rural areas. According to these findings, social participation interventions should target the local environment—for example, by providing more social interaction opportunities for older adults living in younger neighborhoods and by improving access to public transportation, especially paratransit.

scholarly journals Socioeconomic status and survival among older adults with dementia and depression

2014 ◽  
Vol 204 (6) ◽  
pp. 436-440 ◽  
Author(s):  
Ruoling Chen ◽  
Zhi Hu ◽  
Li Wei ◽  
Kenneth Wilson
Keyword(s):  
Older Adults ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Rural Areas ◽  
Urban Areas ◽  
Computer Assisted ◽  
Late Life Depression ◽  
People With Dementia ◽  
Risk Of Mortality ◽  
The Impact

BackgroundPeople from lower socioeconomic groups have a higher risk of mortality. The impact of low socioeconomic status on survival among older adults with dementia and depression remains unclear.AimsTo investigate the association between socioeconomic status and mortality in people with dementia and late-life depression in China.MethodUsing Geriatric Mental Status – Automated Geriatric Examination for Computer Assisted Taxonomy (GMS-AGECAT) we interviewed 2978 people aged ⩾60 years in Anhui, China. We characterised baseline socioeconomic status and risk factors and diagnosed 223 people with dementia and 128 with depression. All-cause mortality was followed up over 5.6 years.ResultsIndividuals with dementia living in rural areas had a three times greater risk of mortality (multivariate adjusted hazard ratio (HR) = 2.96, 95% CI 1.45–6.04) than those in urban areas, and for those with depression the HR was 4.15 (95% CI 1.59–10.83). There were similar mortality rates when comparing people with dementia with lowv.high levels of education, occupation and income, but individuals with depression with lowv.high levels had non-significant increases in mortality of 11%, 50% and 55% respectively.ConclusionsOlder adults with dementia and depression living in rural China had a significantly higher risk of mortality than urban counterparts. Interventions should be implemented in rural areas to tackle survival inequality in dementia and depression.

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