scholarly journals A case control study of the factors associated with occurrence of aerodigestive foreign bodies in children in a regional referral hospital in South Western Uganda

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Doreen Nakku ◽  
Richard Byaruhanga ◽  
Francis Bajunirwe ◽  
Imelda T. Kyamwanga
Keyword(s):  
Foreign Bodies ◽  
Case Control Study ◽  
Case Control ◽  
Referral Hospital ◽  
Regional Referral Hospital ◽  
Factors Associated ◽  
Western Uganda ◽  
Control Study

scholarly journals A case-control study of factors associated with caesarean sections at health facilities in Kabarole District, Western Uganda, 2016

2018 ◽  
Vol 29 ◽  
Author(s):  
Jacinta Dusabe ◽  
Joseph Akuze ◽  
Angela Nakanwagi Kisakye ◽  
Benon Kwesiga ◽  
Peter Nsubuga ◽  
...  
Keyword(s):  
Case Control Study ◽  
Case Control ◽  
Health Facilities ◽  
Factors Associated ◽  
Western Uganda ◽  
Control Study

scholarly journals Predictors of Fetal Macrosomia Among Women Delivering at a Tertiary Hospital in Tanzania: A Case Control Study

2021 ◽  
Author(s):  
Emmanuel Imani Ngadaya ◽  
Maria Angelica Rweyemamu ◽  
Proffesor Ipyana Hudson Mwampagatwa ◽  
Athanase Gervase Lilungulu
Keyword(s):  
Diabetes Mellitus ◽  
Case Control Study ◽  
Case Control ◽  
Adverse Outcomes ◽  
Referral Hospital ◽  
Fetal Macrosomia ◽  
Regional Referral Hospital ◽  
Gestation Age ◽  
Increased Risk ◽  
Control Study

Abstract Purpose: The study aimed at assessing predictors of fetal macrosomia at Iringa Regional Referral hospital in Tanzania. It is currently challenging to predict fetal macrosomia before delivery which possess women to an increasing risk of sustaining adverse maternal or fetal outcomes. Methods: A case-control study design in which cases were women who delivered babies weighing ≥ 4000g while controls were those who delivered babies weighing 2500g to 3500g. Purposive sampling technique was employed to recruit both controls and cases. A total of 216 participants were included. This was an unmatched case control study. SPSS version 25 software program was used for data entry and analysis. Chi-squared test, P-value, unadjusted and adjusted logistic regression were used to determine statistical significant. Results: Predictors of fetal macrosomia at Iringa Regional Referral hospital were advanced gestation age (AOR=8.10, 95% CI 3.66-17.91, p=<0.0001) and diabetes mellitus during pregnancy (AOR =14.94, 95% CI 1.60 -39.91, p= 0.0178).Conclusion: Women with advanced gestation age and diabetes mellitus during pregnancy are at an increased risk of delivering a macrosomic baby. Assessing predictors of fetal macrosomia will enable early prediction and intervention of women with fetal macrosomia hence preventing further maternal and fetal adverse outcomes.

scholarly journals Predictors of Fetal Macrosomia Among Women Delivering at a Tertiary Hospital in Tanzania: A Case Control Study

2021 ◽  
Author(s):  
Emmanuel Imani Ngadaya ◽  
Maria Angelica Rweyemamu ◽  
Proffesor Ipyana Hudson Mwampagatwa ◽  
Athanase Gervase Lilungulu
Keyword(s):  
Diabetes Mellitus ◽  
Case Control Study ◽  
Case Control ◽  
Adverse Outcomes ◽  
Referral Hospital ◽  
Fetal Macrosomia ◽  
Regional Referral Hospital ◽  
Gestation Age ◽  
Increased Risk ◽  
Control Study

Abstract Purpose: The study aimed at assessing predictors of fetal macrosomia at Iringa Regional Referral hospital in Tanzania. It is currently challenging to predict fetal macrosomia before delivery which possess women to an increasing risk of sustaining adverse maternal or fetal outcomes. Methods: A case-control study design in which cases were women who delivered babies weighing ≥ 4000g while controls were those who delivered babies weighing 2500g to 3500g. Purposive sampling technique was employed to recruit both controls and cases. A total of 216 participants were included. This was an unmatched case control study. SPSS version 25 software program was used for data entry and analysis. Chi-squared test, P-value, unadjusted and adjusted logistic regression were used to determine statistical significant. Results: Predictors of fetal macrosomia at Iringa Regional Referral hospital were advanced gestation age (AOR=8.10, 95% CI 3.66-17.91, p=<0.0001) and diabetes mellitus during pregnancy (AOR =14.94, 95% CI 1.60 -39.91, p= 0.0178).Conclusion: Women with advanced gestation age and diabetes mellitus during pregnancy are at an increased risk of delivering a macrosomic baby. Assessing predictors of fetal macrosomia will enable early prediction and intervention of women with fetal macrosomia hence preventing further maternal and fetal adverse outcomes.

scholarly journals Prevalence of Balance Impairment and Factors Associated with Balance among Patients with Stroke. A Cross Sectional Retrospective Case Control Study

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 320
Author(s):  
Fayaz Khan ◽  
Mohamed Faisal Chevidikunnan
Keyword(s):  
Case Control Study ◽  
Binary Logistic Regression ◽  
Berg Balance Scale ◽  
Case Control ◽  
Knee Extensors ◽  
Retrospective Case ◽  
Cross Sectional ◽  
Balance Impairment ◽  
Factors Associated ◽  
Control Study

Stroke is a major cause of disability worldwide, and balance impairments are common disabling factors in patients with stroke, leading to falls. Thus, the study objectives were as follows: (i) To find the prevalence of balance impairment among patients with stroke. (ii) To find out the factors associated with balance impairment in patients with stroke. This cross-sectional retrospective case control study involved eighty-one post stroke patients with a mean age of 58.36 ± 14.06, recruited from six hospitals, who underwent an assessment of balance, walking speed, depression and isometric strength of the ankle and knee. These patients were later categorized into subjects with good balance (<45) in the Berg balance scale (BBS) and those with poor balance (≥45), as cases and controls, to assess the factors associated with balance impairment using binary logistic regression. The prevalence of balance impairment among patients with stroke was 48.1%. The reduction in power of knee flexors (OR = 0.858), knee extensors (OR = 0.880) and ankle dorsiflexors (OR = 0.820) was found to be significantly associated with balance impairment, along with speed (OR = 1.187 (95% CI = 1.100, 1.280)), depression (OR = 1.331 (95% CI = 1.055–1.679)) and activities of daily living (OR = 0.313 (95% CI = 0.150–0.650)). In summary, around half of the patients with stroke exhibited balance impairments, with females being more prone.

scholarly journals Effects of sagging breasts and other risk factors associated with mastalgia: a case–control study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bülent Çomçalı ◽  
Servet Kocaoz ◽  
Buket Altun Özdemir ◽  
Ömer Parlak ◽  
Birol Korukluoğlu
Keyword(s):  
Risk Factors ◽  
Case Control Study ◽  
Coffee Consumption ◽  
Educational Status ◽  
Case Control ◽  
Tea Consumption ◽  
Drinking Alcohol ◽  
Factors Affecting ◽  
Factors Associated ◽  
Control Study

AbstractThe aim of this study is to compare patients with and without mastalgia and to analyze the factors affecting mastalgia and its severity. The patient’s age, height, weight, educational status, marital status, and occupation were recorded in all subjects. In addition, the women were asked about the presence of any risk factors for mastalgia, such as tea and coffee consumption, smoking, alcohol consumption, and weight gain. The sternal notch to nipple distance (SNND) was measured to determine whether there was breast sagging. Mastalgia was significantly more common in women with BMIs of > 30 kg/m2 (OR: 2.94, CI 1.65–5.24), those who were primary school graduates or illiterate (OR: 2.96, CI 1.6–5.46), and those with SNND values of 22–25 cm (OR: 2.94, CI 1.79–4.82). In these women, drinking more than 6 cups of tea a day (OR: 2.15, CI 1.32–3.5), smoking at least 10 cigarettes a day (OR: 2.94, CI 1.78–4.83), and drinking alcohol at least once a week (OR: 2.1, CI 1.12–3.91) were found to be important factors that increased the risk of mastalgia. As a result, it has been found that severe mastalgia complaints cause by obesity, sagging breasts, never giving birth, unemployment anxiety, regular smoking, alcohol use, and excessive tea consumption.

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