Epidemiology and Pattern of Osteoarthritis at Ogbaku, Imo State University Teaching Hospital Annex, Mbaitoli Local Government Area, Imo State, Southeast, Nigeria

Ukibe, SN; Ugorji, Tochukwu Nze; Ikeakor, L. C.; Obi-Okaro, A. C.; Ukibe, Nkiruka Rose; Jervas, Ekezie; Okeke, C. U.; Alagwu, E. A.

doi:10.9734/bjmmr/2015/16344

Cited by 3 publications

(5 citation statements)

References 17 publications

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“…Previous studies have identified "Ember months", that is, the last four months of the year (Ukibe et al, 2011;Omobowale et al, 2011) as the most critical period while other studies pointed out to holiday periods (Anowar et al, 2021) while others argued in favour of holiday periods (National Safety Council (2023) or specifically festive periods (Oyenuga et al, 2006). This paper considered all the suggested periods and tested for the difference in the RTA cases during Festive Holiday, Non-holiday, and Non-Festive Holiday and found a statistically significant difference.…”

Section: Methodsmentioning

confidence: 99%

Are Holidays or Festive Periods to blame for Seasonal Spikes in Road Traffic Accidents in Nigeria?

Morenikeji,

Musa,

Michael

et al. 2024

ETSJ

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Over the years, citizens have characteristically viewed festive and holiday seasons in Nigeria as a period when there are spikes in traffic and road crashes. These spike in road crashes have been ascribed to some spiritual or mystical powers which often possess the road ways especially the intercity or highways within the country. The paper examined the impact of holiday and festive periods on the recorded road traffic accident cases in Nigeria for a period ten years (2012 – 2021) using weekly data obtained from the Federal Road Safety Corps Office, the research adopted exploratory data analysis conducted on the Road Traffic accidents data suggests that the data is not normally distributed (Shapiro-Wilk = 0.94, p = .002) hence Kruskal-Wallis test -a non-parametric statistics equivalent of Analysis of Variance (ANOVA) was adopted for test of difference. The aim was to isolate the actual period when road accidents occurred most between ordinary day, non-festive holiday and festive holiday periods. National holiday and festive dates were marked on the data sheet and a hypothesis was tested. A Kruskal-Wallis test was conducted to compare the median ranks of three groups: Festive Holiday, Non- holiday, and Non Festive Holiday. The test revealed a significant difference among the groups (χ2(2) = 11.02, p = .004.). Post hoc tests using the Dunn-Bonferroni method showed that Festive Holiday (FH) and Non-holiday (NH) groups had a significantly different median rank (KW = 58.38, Mdn_FH = 220, Mdn_NH = 180, adj.p = .007). Similarly, the Festive Holiday and Non Festive Holiday (NFH) groups had a significantly different median rank (KW = 84.16, Mdn_FH = 220, Mdn_NFH = 177.5, adj. p = .017). However, there was no significant difference in median rank (Mdn) between Non-holiday and Non Festive Holiday groups (KW = 25.77, Mdn_NH = 180, Mdn_NFH = 177.5, adj. p = .948). The study concluded that most road traffic accidents occur during festive holidays.

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Section: Methodsmentioning

confidence: 99%

Are Holidays or Festive Periods to blame for Seasonal Spikes in Road Traffic Accidents in Nigeria?

Morenikeji,

Musa,

Michael

et al. 2024

ETSJ

View full text Add to dashboard Cite

show abstract

“…(9,10) In the present study the prevalence of OA increased with age as maximum number of patients were seen in 71-80 years age group as compared to studies by Shadab et al, majority, 199 patients were above 60 years (11) and Ukibe et al, 34% of the OA patients were in 64-75 year age group. (4) In a study by Patil S et al 33% of the patients were more than 60 years. (12) OA is more common in female patients in present study (66%) as compared to the studies by Ukibe et al (34%), Shadab et al (61.54%), Patil PS et al (65.7%) and Radha et al (66%).…”

Section: Gendermentioning

confidence: 97%

“…(12) OA is more common in female patients in present study (66%) as compared to the studies by Ukibe et al (34%), Shadab et al (61.54%), Patil PS et al (65.7%) and Radha et al (66%). (4,11,12,13) OA strikes women more than men and it increases in prevalence, incidence and severity after menopause. (14) Data from Women's Health initiative showed that, women on oestrogen replacement therapy was 15% less likely to require Total Knee or Hip arthroplasty than those not taking such therapy.…”

Section: Gendermentioning

confidence: 99%

“…(16) In the present study prevalence of OA was highest in farmers accounting for 70% cases as compared to the study by Ukibe et al in which 60% of the patients were farmers. (4) This may be due to manual labour involved in agriculture with frequent knee joint bending. Prevalence of OA in teachers was 12% in the present study forming the second most common group because their profession demanded long standing for more than 5 hours per day.…”

Section: Gendermentioning

confidence: 99%

“…(3) OA is a leading cause of disability and loss of human labour in society. (4) OA has a multifactorial aetiology and can be considered the product of an interplay between systemic and local factors. (5) Knee osteoarthritis is the most common form of arthritis.…”

Section: Introductionmentioning

confidence: 99%

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Occupational Risk Factors in Knee Osteoarthritis

Muralidhara¹

2015

jebmh

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INTRODUCTION Osteoarthritis (OA), also often called "osteoarthrosis" or "degenerative joint disease" is the most common form of arthritis. MATERIALS AND METHODS Present retrospective statistical study was conducted at the Department of orthopaedics in a tertiary care hospital (Catering to a largely agricultural population) over a period of 2 years from January 2012 to December 2014. RESULTS Prevalence of osteoarthritis common in farmers accounting to 70%. Other occupations at risk of OA of knee were, Teachers 12%, Housewives 08%, Athletes 04%, Policemen 04% and Drivers 02%. It is in conformity with most previous studies reviewed. CONCLUSION Osteoarthritis of Knee is a major health issue and important cause of disability in elderly population. Occupational risk factors are important in development of osteoarthritis.

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The Ember Months: A Dark Time for Road Safety in Nigeria?

Wole,

Musa,

Shareefdeen

et al. 2024

JRS

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Road Traffic Crashes (RTC) are known to exhibit various trends which are attributed to various factors such as the climatic seasonal changes and particular time periods, such as ember months (September, October, November, and December). This study explored the potential interaction between ember months and seasons concerning crash rates. Data on crash rates for 96 months (January 2014-December 2021) were extracted from the records at the Federal Road Safety Corps (FRSC), Headquarters Office, Abuja, and the dataset was organised based on the two independent variables: ember months and seasons (Wet/Dry). A two-way ANOVA was performed to analyse the main effects of both factors and examine whether there was an interaction effect between them. The results of the two-way ANOVA showed no significant interaction effect between ember months and seasons regarding traffic crash rates. However, significant main effects were observed for season (Wet/Dry) but with no significant main effect for specific months (Ember/non Ember). It was concluded that season has a statistically significant impact on crash rates, while ember months do not show a significant influence on crash rates. While the number of crashes does not appear to be significantly affected by the ember months, it is recommended that it is still important the Federal Road Safety Corps consistently enforce traffic laws and road safety measures all year long to maintain standards of safety.

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Epidemiology and Pattern of Osteoarthritis at Ogbaku, Imo State University Teaching Hospital Annex, Mbaitoli Local Government Area, Imo State, Southeast, Nigeria

Cited by 3 publications

References 17 publications

Are Holidays or Festive Periods to blame for Seasonal Spikes in Road Traffic Accidents in Nigeria?

Are Holidays or Festive Periods to blame for Seasonal Spikes in Road Traffic Accidents in Nigeria?

Occupational Risk Factors in Knee Osteoarthritis

The Ember Months: A Dark Time for Road Safety in Nigeria?

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