Correlation of Socio-Economic Factors, Diet, and Ownership of Consumer Electronics with Body Mass Index in Women of Childbearing Age: Insights from the 2016 South African Demographic Health Survey
The available evidence indicates a correlation between owning consumer electronics, such as cellphones and televisions, and a higher risk of obesity and increased adiposity. However, such studies are sparse in South Africa. Thus, the aim of this study is to examine the dietary and sociodemographic f...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
|
| Series: | Women |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4184/3/1/13 |
| _version_ | 1797608583759659008 |
|---|---|
| author | Lucas Banda Olanrewaju Oladimeji |
| author_facet | Lucas Banda Olanrewaju Oladimeji |
| author_sort | Lucas Banda |
| collection | DOAJ |
| description | The available evidence indicates a correlation between owning consumer electronics, such as cellphones and televisions, and a higher risk of obesity and increased adiposity. However, such studies are sparse in South Africa. Thus, the aim of this study is to examine the dietary and sociodemographic factors associated with various BMI categories, including the possession of consumer electronics, among women of reproductive age in South Africa. This is a secondary study of a population registry that includes dietary, BMI, and digital use items among women of reproductive age. The data is from the South Africa Demographic Health Survey (SADHS, 2016). Of the 3363 participants included in the analysis, women of normal weight were (35.5%), pre-obese (34.5%), obese (27.1%) and underweight (2.9%). Age was found to be significantly associated with pre-obesity at a <0.05 confidence interval. Owning a cellphone was significantly associated with being underweight and had 55% increased odds (1–0.45) (OR = 0.45; 95% CI 0.26–0.77, <i>p</i> = 0.004). Using internet almost daily was statistically significant with being underweight and had 55% (1–0.45) increased odds of being underweight (OR = 0.45; 95% CI 0.20–1.01, <i>p</i> = 0.054). Owning a cellphone and internet use was found to be significantly associated with being underweight. More research is needed to understand why cellphone ownership and using internet almost daily are significantly associated with being underweight. |
| first_indexed | 2024-03-11T05:45:17Z |
| format | Article |
| id | doaj.art-f0cca68362784f7e893fc1409c1300b8 |
| institution | Directory Open Access Journal |
| issn | 2673-4184 |
| language | English |
| last_indexed | 2024-03-11T05:45:17Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Women |
| spelling | doaj.art-f0cca68362784f7e893fc1409c1300b82023-11-17T14:29:09ZengMDPI AGWomen2673-41842023-03-013116317410.3390/women3010013Correlation of Socio-Economic Factors, Diet, and Ownership of Consumer Electronics with Body Mass Index in Women of Childbearing Age: Insights from the 2016 South African Demographic Health SurveyLucas Banda0Olanrewaju Oladimeji1Department of Public Health, Faculty of Health Sciences, Walter Sisulu University, Mthatha 5117, South AfricaDepartment of Public Health, Faculty of Health Sciences, Walter Sisulu University, Mthatha 5117, South AfricaThe available evidence indicates a correlation between owning consumer electronics, such as cellphones and televisions, and a higher risk of obesity and increased adiposity. However, such studies are sparse in South Africa. Thus, the aim of this study is to examine the dietary and sociodemographic factors associated with various BMI categories, including the possession of consumer electronics, among women of reproductive age in South Africa. This is a secondary study of a population registry that includes dietary, BMI, and digital use items among women of reproductive age. The data is from the South Africa Demographic Health Survey (SADHS, 2016). Of the 3363 participants included in the analysis, women of normal weight were (35.5%), pre-obese (34.5%), obese (27.1%) and underweight (2.9%). Age was found to be significantly associated with pre-obesity at a <0.05 confidence interval. Owning a cellphone was significantly associated with being underweight and had 55% increased odds (1–0.45) (OR = 0.45; 95% CI 0.26–0.77, <i>p</i> = 0.004). Using internet almost daily was statistically significant with being underweight and had 55% (1–0.45) increased odds of being underweight (OR = 0.45; 95% CI 0.20–1.01, <i>p</i> = 0.054). Owning a cellphone and internet use was found to be significantly associated with being underweight. More research is needed to understand why cellphone ownership and using internet almost daily are significantly associated with being underweight.https://www.mdpi.com/2673-4184/3/1/13body weight categoriesBMIprevalencesocio-economicdietwomen of child-bearing age |
| spellingShingle | Lucas Banda Olanrewaju Oladimeji Correlation of Socio-Economic Factors, Diet, and Ownership of Consumer Electronics with Body Mass Index in Women of Childbearing Age: Insights from the 2016 South African Demographic Health Survey Women body weight categories BMI prevalence socio-economic diet women of child-bearing age |
| title | Correlation of Socio-Economic Factors, Diet, and Ownership of Consumer Electronics with Body Mass Index in Women of Childbearing Age: Insights from the 2016 South African Demographic Health Survey |
| title_full | Correlation of Socio-Economic Factors, Diet, and Ownership of Consumer Electronics with Body Mass Index in Women of Childbearing Age: Insights from the 2016 South African Demographic Health Survey |
| title_fullStr | Correlation of Socio-Economic Factors, Diet, and Ownership of Consumer Electronics with Body Mass Index in Women of Childbearing Age: Insights from the 2016 South African Demographic Health Survey |
| title_full_unstemmed | Correlation of Socio-Economic Factors, Diet, and Ownership of Consumer Electronics with Body Mass Index in Women of Childbearing Age: Insights from the 2016 South African Demographic Health Survey |
| title_short | Correlation of Socio-Economic Factors, Diet, and Ownership of Consumer Electronics with Body Mass Index in Women of Childbearing Age: Insights from the 2016 South African Demographic Health Survey |
| title_sort | correlation of socio economic factors diet and ownership of consumer electronics with body mass index in women of childbearing age insights from the 2016 south african demographic health survey |
| topic | body weight categories BMI prevalence socio-economic diet women of child-bearing age |
| url | https://www.mdpi.com/2673-4184/3/1/13 |
| work_keys_str_mv | AT lucasbanda correlationofsocioeconomicfactorsdietandownershipofconsumerelectronicswithbodymassindexinwomenofchildbearingageinsightsfromthe2016southafricandemographichealthsurvey AT olanrewajuoladimeji correlationofsocioeconomicfactorsdietandownershipofconsumerelectronicswithbodymassindexinwomenofchildbearingageinsightsfromthe2016southafricandemographichealthsurvey |