Afrocentric and gendered constructions of psychological well-being in Nigeria: a case study

Sokoya, Grace O.; Muthukrishna, Nithi; Collings, Steve J

doi:10.4314/jpa.v15i1.30631

Cited by 10 publications

(14 citation statements)

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“…Without suggesting this to be a homogenous group, it has been described as a relatively more collectivistic group by Temane and Wissing (2008). Researchers have argued that well-being varies across socio-cultural contexts (Christopher 1999;Constantine and Sue 2006;Ryff and Singer 1998;Temane and Wissing 2008) as cultural factors influence health and psychological well-being (Sokoya et al 2005). Diener et al (1995) argue that the experience of subjective well-being is influenced by cultural norms that dictate how people feel and express their emotions, as well as to what they attribute their levels of happiness.…”

Section: Context Of the Studymentioning

confidence: 98%

“…Gender, age (Bawah et al 1999) and marital status (Sokoya et al 2005) often determine social roles, hierarchy structures and relations in African societies. In rural areas in particular, duties and activities of daily living such as farm work, marital roles, parenting roles and community roles are rigidly prescribed according to gender (Sokoya et al 2005).…”

Section: Age Gender and Marital Statusmentioning

confidence: 99%

“…Different gender roles and socialisation of boys and girls give an expectation of gender differences in levels of well-being, particularly in traditional African communities. According to Sokoya et al (2005) the feminisation of domestic roles in farm families allows men more time to relax and enjoy leisure activities while women have to juggle multiple household tasks. Other studies conducted in the western context arrive at various and different findings.…”

Section: Age Gender and Marital Statusmentioning

confidence: 99%

“…In rural areas in particular, duties and activities of daily living such as farm work, marital roles, parenting roles and community roles are rigidly prescribed according to gender (Sokoya et al 2005). The role of gender may be expected to influence the prevalence and experience of well-being.…”

Section: Age Gender and Marital Statusmentioning

confidence: 99%

“…For example, it is known that culture influences how socio-demographic variables and life conditions interact with well-being (Christopher 1999;Diener 2000;Sokoya et al 2005). Psychological well-being has been traditionally categorised into and measured as either hedonic enjoyment or eudaimonia (Ryan and Deci 2001;Waterman 2008).…”

Section: Introductionmentioning

confidence: 99%

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Socio-Demographic Variables, General Psychological Well-Being and the Mental Health Continuum in an African Context

2011

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Age, gender, marital status, education attainment, employment status, and environmental setting explain different amounts of variance in psychological well-being and mental health. Inconsistent findings are reported for the socio-demographic variables in psychological well-being depending amongst others on the definition and measurement of well-being, context and the nature of the population. The present study explored the association of socio-demographic variables in an African context using two models that conceptualise and measure well-being as a holistic integrated and complex construct, namely the General Psychological Well-being model (GPW) and the Mental Health Continuum model (MHC). The study was conducted among an African sample in the North West Province of South Africa. A sample of 459 male and female Setswanaspeaking adults from rural and urban areas completed measures of general psychological well-being and the mental health continuum. Descriptive statistics, correlations, crosstabulations and regression analyses were computed. Findings indicate that socio-demographic variables play a role in determining holistic psychological well-being in a South African Setswana-speaking community. Urban living, employment, education and being married were associated with higher psychological well-being. Rural or urban environmental setting, followed by employment status, accounted for the greatest variance in psychological well-being measures. Age and gender were not significantly associated with well-being. The findings suggest that the current state of African rural living is detrimental to well-being. Through employment being an index of socio-economic status, the unemployed experience poor well-being. Future research efforts to explore the mechanisms of these relationships, and context-relevant intervention programmes are recommended.

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