Dietary behaviour among adults in Northern Ghana: a polytomous logistic regression model approach
Objectives: This study determined the predictors of dietary behaviour among adults living in an urban and rural location in northern Ghana.Design: A cross-sectional study.Setting: An urban and rural settlement in the Northern Region of Ghana.Outcome measures: Dietary behaviour levels and their predi...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-04-01
|
| Series: | The South African Journal of Clinical Nutrition |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/16070658.2025.2467850 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850113345157332992 |
|---|---|
| author | Kwame Opare-Asamoah Daniel Edem Kpewou Jerry Xola Sosu Vicentia Esinam Degbey Ezekiel Kofi Vicar Julius T Dongdem Saeed F. Majeed Kwadwo Fosu Antwi |
| author_facet | Kwame Opare-Asamoah Daniel Edem Kpewou Jerry Xola Sosu Vicentia Esinam Degbey Ezekiel Kofi Vicar Julius T Dongdem Saeed F. Majeed Kwadwo Fosu Antwi |
| author_sort | Kwame Opare-Asamoah |
| collection | DOAJ |
| description | Objectives: This study determined the predictors of dietary behaviour among adults living in an urban and rural location in northern Ghana.Design: A cross-sectional study.Setting: An urban and rural settlement in the Northern Region of Ghana.Outcome measures: Dietary behaviour levels and their predictors.Subjects: Adults aged ≥ 18 residing in the Tamale Metropolis and the Tolon District of the Northern Region of Ghana.Results: The median age (25th–75th percentile) of all the respondents was 31 (25–39) years, with 44.8% (358) of the respondents aged 20–30 years. There was no statistically significant difference in the respondents’ ages in the two study areas. The median body mass index (BMI) (25th–75th percentile) was 22.0 (20.4–24.0) kg/m2 and did not differ significantly (p-value = 0.23) across the two study areas. Most (74.8%; 598) of the respondents were of normal nutritional status, with half (51.6%) exhibiting good dietary behaviour. Being married (OR = 0.64, p = 0.04) reduces the odds of being at higher dietary behaviour levels. Conversely, being employed (OR = 1.83, p = 0.003) and aged 50–60 years (OR = 2.80, p = 0.05) increases the odds of being in the higher dietary behaviour categories according to the partially proportional odds model (PPOM). These relationships come with various marginal effects. The relationship between the place of residence of participants and dietary behaviour levels is bidirectional at different dietary levels.Conclusions: This study revealed a complex relationship between dietary behaviour levels and their predictors. This relationship should be considered during interventional and further investigations into dietary behaviours. |
| format | Article |
| id | doaj-art-77b1cda0bbea4916ada283fb18e49a36 |
| institution | OA Journals |
| issn | 1607-0658 2221-1268 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | The South African Journal of Clinical Nutrition |
| spelling | doaj-art-77b1cda0bbea4916ada283fb18e49a362025-08-20T02:37:10ZengTaylor & Francis GroupThe South African Journal of Clinical Nutrition1607-06582221-12682025-04-01382647210.1080/16070658.2025.2467850Dietary behaviour among adults in Northern Ghana: a polytomous logistic regression model approachKwame Opare-Asamoah0Daniel Edem Kpewou1Jerry Xola Sosu2Vicentia Esinam Degbey3Ezekiel Kofi Vicar4Julius T Dongdem5Saeed F. Majeed6Kwadwo Fosu Antwi7Department of Biological Sciences, University for Development Studies, Tamale, GhanaDepartment of Nutritional Sciences, University for Development Studies, Tamale, GhanaDepartment of Pharmaceutical Chemistry, University for Development Studies, Tamale, GhanaDepartment of Nutritional Sciences, University for Development Studies, Tamale, GhanaDepartment of Clinical Microbiology, University for Development Studies, Tamale, GhanaDepartment of Biochemistry and Molecular Medicine, University for Development Studies, Tamale, GhanaDepartment of Biological Sciences, University for Development Studies, Tamale, GhanaDepartment of Ear, Nose and Throat, University for Development Studies, Tamale, GhanaObjectives: This study determined the predictors of dietary behaviour among adults living in an urban and rural location in northern Ghana.Design: A cross-sectional study.Setting: An urban and rural settlement in the Northern Region of Ghana.Outcome measures: Dietary behaviour levels and their predictors.Subjects: Adults aged ≥ 18 residing in the Tamale Metropolis and the Tolon District of the Northern Region of Ghana.Results: The median age (25th–75th percentile) of all the respondents was 31 (25–39) years, with 44.8% (358) of the respondents aged 20–30 years. There was no statistically significant difference in the respondents’ ages in the two study areas. The median body mass index (BMI) (25th–75th percentile) was 22.0 (20.4–24.0) kg/m2 and did not differ significantly (p-value = 0.23) across the two study areas. Most (74.8%; 598) of the respondents were of normal nutritional status, with half (51.6%) exhibiting good dietary behaviour. Being married (OR = 0.64, p = 0.04) reduces the odds of being at higher dietary behaviour levels. Conversely, being employed (OR = 1.83, p = 0.003) and aged 50–60 years (OR = 2.80, p = 0.05) increases the odds of being in the higher dietary behaviour categories according to the partially proportional odds model (PPOM). These relationships come with various marginal effects. The relationship between the place of residence of participants and dietary behaviour levels is bidirectional at different dietary levels.Conclusions: This study revealed a complex relationship between dietary behaviour levels and their predictors. This relationship should be considered during interventional and further investigations into dietary behaviours.https://www.tandfonline.com/doi/10.1080/16070658.2025.2467850dietary behaviourGhanapolytomous logistic regressionTamale MetropolisTolon District |
| spellingShingle | Kwame Opare-Asamoah Daniel Edem Kpewou Jerry Xola Sosu Vicentia Esinam Degbey Ezekiel Kofi Vicar Julius T Dongdem Saeed F. Majeed Kwadwo Fosu Antwi Dietary behaviour among adults in Northern Ghana: a polytomous logistic regression model approach The South African Journal of Clinical Nutrition dietary behaviour Ghana polytomous logistic regression Tamale Metropolis Tolon District |
| title | Dietary behaviour among adults in Northern Ghana: a polytomous logistic regression model approach |
| title_full | Dietary behaviour among adults in Northern Ghana: a polytomous logistic regression model approach |
| title_fullStr | Dietary behaviour among adults in Northern Ghana: a polytomous logistic regression model approach |
| title_full_unstemmed | Dietary behaviour among adults in Northern Ghana: a polytomous logistic regression model approach |
| title_short | Dietary behaviour among adults in Northern Ghana: a polytomous logistic regression model approach |
| title_sort | dietary behaviour among adults in northern ghana a polytomous logistic regression model approach |
| topic | dietary behaviour Ghana polytomous logistic regression Tamale Metropolis Tolon District |
| url | https://www.tandfonline.com/doi/10.1080/16070658.2025.2467850 |
| work_keys_str_mv | AT kwameopareasamoah dietarybehaviouramongadultsinnorthernghanaapolytomouslogisticregressionmodelapproach AT danieledemkpewou dietarybehaviouramongadultsinnorthernghanaapolytomouslogisticregressionmodelapproach AT jerryxolasosu dietarybehaviouramongadultsinnorthernghanaapolytomouslogisticregressionmodelapproach AT vicentiaesinamdegbey dietarybehaviouramongadultsinnorthernghanaapolytomouslogisticregressionmodelapproach AT ezekielkofivicar dietarybehaviouramongadultsinnorthernghanaapolytomouslogisticregressionmodelapproach AT juliustdongdem dietarybehaviouramongadultsinnorthernghanaapolytomouslogisticregressionmodelapproach AT saeedfmajeed dietarybehaviouramongadultsinnorthernghanaapolytomouslogisticregressionmodelapproach AT kwadwofosuantwi dietarybehaviouramongadultsinnorthernghanaapolytomouslogisticregressionmodelapproach |