An Anthropological Discourse to Christian Views on Polygamy and Plural Relationships in Uganda

Marriage and family are prominent institutions in society because they define a person’s essence of life and identity, through providing means and conditions for survival, participation and sustenance. Marriage thus has forms that are inclusive, given the social realities in an area. However, as society changes, we realise that the institution is also changing to respond to new anthropological demands. This paper deals with the polygamous form of marriage and the accruing transitions as well as tensions in this institution. The paper gives a cross sectional analysis of the phenomenon, discussing its continuities and discontinuities. The paper is aimed at highlighting the anthropological basis of marriage so that society may not judge people at the periphery, but support and understand them as well as regulate the institution of marriage to be inclusive. In order to discuss the surrounding tensions, the discussion will concern polygamy and Plural relationships based on situation analysis in Uganda, personal reflections, literature and field data.

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A cross-sectional analysis of the burden of respiratory disease and engagement with the respiratory outpatient service amongst hospitalised patients referred to the social inclusion team

10.1183/13993003.congress-2021.pa2234 ◽

2021 ◽

Author(s):

Sandra Green ◽

Eoin Hunt ◽

Sarah Jayne Miggins ◽

Tara Mc Ginty

Keyword(s):

Respiratory Disease ◽

Social Inclusion ◽

Outpatient Service ◽

Cross Sectional ◽

Cross Sectional Analysis ◽

Hospitalised Patients ◽

The Social ◽

Sectional Analysis

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Social Vulnerability in Patients with Multimorbidity: A Cross-Sectional Analysis

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16071244 ◽

2019 ◽

Vol 16 (7) ◽

pp. 1244 ◽

Cited By ~ 5

Author(s):

Tu Nguyen ◽

Patrice Ngangue ◽

Tarek Bouhali ◽

Bridget Ryan ◽

Moira Stewart ◽

...

Keyword(s):

Cardiovascular Diseases ◽

Social Vulnerability ◽

Chronic Conditions ◽

Vulnerability Index ◽

Social Vulnerability Index ◽

Cross Sectional ◽

Term Care ◽

Cross Sectional Analysis ◽

The Social ◽

Sectional Analysis

Background: Social aspects play an important role in individual health and should be taken into consideration in the long-term care for people with multimorbidity. Purposes: To describe social vulnerability, to examine its correlation with the number of chronic conditions, and to investigate which chronic conditions were significantly associated with the most socially vulnerable state in patients with multimorbidity. Methods: Cross-sectional analysis from the baseline data of the Patient-Centred Innovations for Persons with Multimorbidity (PACEinMM) Study. Participants were patients attending primary healthcare settings in Quebec, Canada. A social vulnerability index was applied to identify social vulnerability level. The index value ranges from 0 to 1 (1 as the most vulnerable). Spearman’s rank correlation coefficient was calculated for the correlation between the social vulnerability index and the number of chronic conditions. Logistic regression was applied to investigate which chronic conditions were independently associated with the most socially vulnerable state. Results: There were 301 participants, mean age 61.0 ± 10.5, 53.2% female. The mean number of chronic health conditions was 5.01 ± 1.82, with the most common being hyperlipidemia (78.1%), hypertension (69.4%), and obesity (54.2%). The social vulnerability index had a median value of 0.13 (range 0.00–0.78). There was a positive correlation between the social vulnerability index and the number of chronic conditions (r = 0.24, p < 0.001). Obesity, depression/anxiety, and cardiovascular diseases were significantly associated with the most socially vulnerable patients with multimorbidity. Conclusions: There was a significant correlation between social vulnerability and the total number of chronic conditions, with depression/anxiety, obesity, and cardiovascular diseases being the most related to social vulnerability.

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Social support network typologies and their association with dementia and depression among older adults in Singapore: a cross-sectional analysis

BMJ Open ◽

10.1136/bmjopen-2018-025303 ◽

2019 ◽

Vol 9 (5) ◽

pp. e025303 ◽

Cited By ~ 2

Author(s):

Ying Wen Lau ◽

Janhavi Ajit Vaingankar ◽

Edimansyah Abdin ◽

Saleha Shafie ◽

Anitha Jeyagurunathan ◽

...

Keyword(s):

Social Support ◽

Older Adults ◽

Logistic Regression ◽

Support Network ◽

Social Support Network ◽

Cross Sectional ◽

Cross Sectional Analysis ◽

The Social ◽

Sectional Analysis ◽

Network Type

ObjectivesTo examine the social support network type and its associations with depression and dementia among older adults in Singapore.DesignThis study is a cross-sectional analysis of data from the Well-being of the Singapore Elderly study. The Practitioner Assessment of Network Type was used to identify five social support network types. Odds Ratios (OR) of dementia and depression were estimated with logistic regression and multinomial logistic regression, respectively, adjusted for sociodemographic variables.SettingSingapore.Outcome measures10/66 criteria and Automated Geriatric Examination for Computer Assisted Taxonomy computer algorithm.Participants2421 older adults aged 60 years and above, and their informants.ResultsLogistic regression revealed that as compared with participants in the family dependent social support network type, those in the locally integrated social support network type were negatively associated with dementia. It was observed that it is the older adults’ perception of the quality of social interaction that influences the likelihood of depression.ConclusionThe social support network typology presents knowledge about the older adults’ social network profile and their cognitive functioning-ability which would help stakeholders better identify older adults who might be at risk of cognitive decline or experiencing delay in diagnosis of dementia.

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