P304 MALNUTRITION AND ASSOCIATED MEDICAL AND SOCIO-ECONOMIC FACTORS IN AN ELDERLY POPULATION IN RURAL BANGLADESH

2008 ◽  
Vol 3 ◽  
pp. 158
Author(s):  
T. Ferdous ◽  
Z. Nahar Kabir ◽  
K. Streatfield ◽  
Å. Wahlin ◽  
T. Cederholm
Keyword(s):  
Elderly Population ◽  
Economic Factors ◽  
Rural Bangladesh ◽  
Socio Economic Factors

scholarly journals Sleep and rest needs of seniors: a study grounded in the work of Henderson

2012 ◽  
Vol 25 (spe1) ◽  
pp. 54-59
Author(s):  
Jorge Wilker Bezerra Clares ◽  
Maria Célia de Freitas ◽  
Francisca Tereza de Galiza ◽  
Paulo César de Almeida
Keyword(s):  
Elderly Population ◽  
Family Health ◽  
Health Conditions ◽  
Economic Factors ◽  
Statistical Software ◽  
Primary Health ◽  
Health Strategy ◽  
The Family ◽  
Family Health Strategy ◽  
Socio Economic Factors

OBJECTIVE: To identify the sleep/rest needs of an elderly population cared for by the Family Health Strategy, based on Virginia Henderson's theoretical framework. METHOD: This descriptive, quantitative study was conducted from May to June, 2011 through the application of a questionnaire to 52 seniors living in an area covered by a Primary Health Care (PHC) unit in Fortaleza, CE, Brazil. The data were analyzed using statistical software. RESULTS: the sleep disorders most frequently reported by the seniors were: sleeping less than four hours a night (84.6%), daytime sleepiness (71.2%), nighttime awakenings (71.2%), and the use of sleep medications (21.2%). Association was significant in relation to the variables: age (p=0.05), morbidities (p=0.02), smoking (p=0.01), and pain when moving (p=0.05). CONCLUSION: The sleep/rest needs of seniors were significantly associated with socio-economic factors and health conditions.

scholarly journals Association of food security and other socio-economic factors with dietary diversity and nutritional statuses of children aged 6-59 months in rural Bangladesh

PLoS ONE ◽  
2019 ◽  
Vol 14 (8) ◽  
pp. e0221929 ◽  
Author(s):  
Nazia Binte Ali ◽  
Tazeen Tahsina ◽  
Dewan Md. Emdadul Hoque ◽  
Mohammad Mehedi Hasan ◽  
Afrin Iqbal ◽  
...  
Keyword(s):  
Food Security ◽  
Dietary Diversity ◽  
Economic Factors ◽  
Rural Bangladesh ◽  
Socio Economic Factors

scholarly journals Measuring the contributions of elderly and non-elderly age-groups to the disability burden in India: A Decomposition Analysis.

2020 ◽  
Author(s):  
Srei Chanda ◽  
Parul Puri ◽  
Ravita Yadav
Keyword(s):  
Marital Status ◽  
Elderly Population ◽  
Age Groups ◽  
The Elderly ◽  
Risk Difference ◽  
Sample Survey ◽  
Economic Factors ◽  
Elderly Age ◽  
Disability Prevalence ◽  
Socio Economic Factors

Abstract Background Disability has been an essential component of the health and development framework of India. Despite policy norms, a surge in disability across the population interrogates the role of the increasing elderly population in terms of chronic diseases led disabilities. The regional variation in demographic transitions possesses an unequal risk for the occurrence of disability in the population. The demographic and socio-economic factors can explain the inequality contributed by the elderly and non-elderly population. Methods We have used the National Sample Survey-76th round (2018) to measure the risk difference of disability between elderly and non-elderly age-groups across selected background characteristics. Fairlie’s decomposition technique has been adopted to measure the contribution made by the socio-economic factors in explaining the differences in the prevalence of disability. Distribution of states with respect to prevalence and risk difference of disability between elderly and non-elderly are plotted, to understand the regional inequality in the occurrence of disability in India. Results The study calculates a risk difference of 68 per 1000 population in India, explaining a higher risk of disability among the elderly that varies across socio-economic factors. Belonging from the Central region of India represents a higher risk of disability at old age (risk difference 76.8 per 1000 population) than the rest of the regions in India. Gender, marital status, and education explain 72 percent of the gap in the occurrence of disability between two broad age-groups. Despite having a similar disability prevalence, Kerala and Odisha have risk differences of 32 and 85 per 1000 population, respectively. Conclusions The gap in the disability prevalence is significantly explained by the marital status and educational status of the individuals. Disparity in the risk difference of disability among elderly and non-elderly across states suggests that large size of the elderly population is not the only reason for the increasing disability burden in India. Inadequate healthcare infrastructure and access also results into an unmet health care need pertaining to disability. Study suggests a policy relevance for disability-inclusive and geriatric centric healthcare and social supports in synchronisation with the demand realised by the states in India.

DINAMIKA KELOMPOK TANI ANUGERAH MOLLO DI DESA NETPALA KECAMATAN MOLLO UTARA KABUPATEN TIMOR TENGAH SELATAN

2020 ◽  
Vol 21 (1) ◽  
pp. 71-80
Author(s):  
Tanggu Dedo Yeremias ◽  
Ernantje Hendrik ◽  
Ignatius Sinu
Keyword(s):  
Formal Education ◽  
Secondary Data ◽  
Nonparametric Test ◽  
Primary Data ◽  
Economic Factors ◽  
Dynamic Level ◽  
South Central ◽  
Group Members ◽  
Relationship Of ◽  
Socio Economic Factors

ABSTRACT This research has been carried out in the Anugerah Mollo Farmer Group, in Netpala Village, North Mollo District, South Central Timor Regency, starting in March - April 2019. This study aims to determine: (1) The dynamic level of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, (2) Relationship between Socio-economic factors of farmer group members and the level of dynamics of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency. Determination of the location of the study carried out intentionally (purposive sampling) The type of data collected is primary data obtained from direct interviews with respondents guided by the questionnaire, while secondary data is obtained from the relevant agencies. To find out the first purpose of the data analyzed using a Likert scale, to find out the second purpose of the data analyzed using the Sperman Rank statistical Nonparametric test. The results of this study indicate that: (1) The level of dynamism of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, is in the very dynamic category of 84%, (2) The relationship of socio-economic factors is only one of the five variables that are significantly related namely land area with a coefficient of rs 0.278 and t = 1.782 count greater than t table 1.699 (p> 0.05), while other social factors such as age, formal education, number of family dependents, and experience of farming show no significant relationship with the level of dynamism of Anugerah Mollo Farmers Group in Netpala Village.

Implication of Socio-economic Factors on Land Use and Forest Cover Changes in and Around Magamba Nature Reserve in Tanzania

2019 ◽  
Vol 5 (1) ◽  
pp. 108-117
Author(s):  
Solomon Jeremiah Sembosi
Keyword(s):  
Land Use ◽  
Forest Cover ◽  
Nature Reserve ◽  
Agricultural Land ◽  
Population Pressure ◽  
Economic Factors ◽  
Rural Settlements ◽  
Mountainous Regions ◽  
Use Of Resources ◽  
Socio Economic Factors

Rural settlements in mountainous regions are a typical process that occurs in many places around the world and have a number of implications on the landscape. Among them is a threat it possesses to the conservation and management of Afromontane ecosystems. This study assessed the socio-economic factors that drive the changes in land use and forest cover and the extent of land use and vegetation cover in and around Magamba Nature Reserve. Focus group discussion, direct field observation and household survey were used to acquire socio-economic information that impacts land use and forest cover. Through the use of Remote Sensing and GIS methods Landsat satellite images of 1995, 2008 and 2015 were employed to identify the extent of the changes in land use and forest cover. The perceived factors for the changes include education level, unemployment, landless/limited, landholding, population pressure, expansion of built-up areas and agricultural land at the expense of other land covers. This study revealed the transformation of natural forest and associated vegetation from one form to another. There was a decrease in natural vegetation from 61.06% in 1995 to 26.02% in 2015 and increase in built-up areas by 6.69% and agricultural areas by 4.70%. This study recommends conservation monitoring and strong law enforcement relating to natural resources so as to promote sustainable use of resources to rescue the diminishing ecosystem services.

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