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  • 8/10/2019 Project - Use of Herbal Drugs

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    CHAPTER ONE

    1.0 INTRODUCTION

    Herbal medicine also called botanical medicine or phyto-medicine refers to

    using a plants seeds, berries, roots, leaved, barks or flowers for medicinal

    purposes. Herbalism has a long tradition of use outside of conventional, medicine.It is becoming more main-stream as improvements in analysis and quality control

    along with advances in clinical research show that value of herbal medicine in the

    treating and preventing disease.

    Plants had been used for medicinal purposes long before recorded history. Ancient

    Chinese and Egyptians papyrus writings describe medicinal uses for plants as

    early as 3,000 BC. Indigenous cultures (such as African and Native American)

    used herbs in their healing rituals, while others developed traditional medical

    systems (such as Ayurveda and Traditional Chinese Medicine) in which herbaltherapies were used. Researchers found that people in different parts of the world

    tended to use the same or similar plants for the same purposes.

    In the early 19thcentury, when chemical analysis first became available, scientists

    began to extract and modify the active ingredients from plants. Later, chemists

    began making their own version of plant compounds and, over time, the use of

    drugs is derived from botanicals.

    Recently, the World Health Organization estimated that 80% of people worldwide

    rely on herbal medicines for some part of their primary health care. In Germany,

    about 600 700 plant based medicines are available and are prescribed by some

    70% of German physicians. In the past 20 years in the United States, public

    dissatisfaction with the cost of prescription medications, combined with an interest

    in returning to natural or organic remedies, has led to an increase in herbal

    medicine use.

    1.1

    RESEARCH OBJECTIVES

    The general objective of the research is to determine the factors affecting the

    opinion of Lagos State Residents on the use of herbal drugs. The specific objectiveincludes:

    i.

    To determine the effect of:

    a.

    Occupation on the use of herbal drugs.

    b.

    Educational qualification on the use of herbal drugs

    c.

    Age of the use of herbal drugs

    ii To identify problems associated with the use of herbal drugs.

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    1.2

    SCOPE OF STUDY

    The research considers the Lagos populace as to see their view on the use of

    herbal drugs. Samples were taken from the following local governments:

    1.2.1 Alimosho LG

    Alimosho is a Local Government Area in Ikeja Division, Lagos State,Nigeria. It is the largest local government in Lagos with 1,277,714

    inhabitants according to the official 2006 Census (however, the Lagos State

    Government disputes the official Census figures and claims a population

    within the LGA of more than 2 million residents). It has now been

    subdivided between several Local Community Development Areas (LCDA).

    1.2.2 Ajeromi-Ifelodun LG

    Ajeromi-Ifelodun is a Local Government Area in Badagry Division, Lagos

    State. It has some 57,276.3 inhabitants/km2

    , among if not the world densest.

    1.2.3 Kosofe LG

    Kosofe is a Local Government Area of Lagos State, Nigeria. Its headquarters

    are in the town of Kosofe. It has an area of 81km2 and a population of

    665,393 at the 2006 census.

    1.2.4 Mushin LG

    Mushin is a suburb of Lagos, located in Lagos State, Nigeria, and is one of

    Nigerias 774 Local Government Areas. It is located 10km north of the Lagos

    city core, adjacent to the main road to Ikeja, and is a largely a congested

    residential area with inadequate sanitation and low-quality housing. It had

    633,009 inhabitants at the 2006 census.

    1.2.5 Oshodi-Isolo LG

    Oshodi-Isolo is a Local Government Area (LGA) within Lagos State. It was

    formed by the second republic Governor of Lagos State, Alhaji Lateef

    Kayode Jakande, also known as Baba Kekere and the first Executive

    Chairman of the Local Government was Late Chief Isaac Ademolu Banjoko.

    The LGA is part of the Ikeja Division of Lagos State, Nigeria. At the 2006

    census it had a population of 621,509 people, and an area of 45km2.

    The research studies education, occupation and age as it affects the usage of

    herbal drugs and the significance of probable problems to its usage.

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    1.3

    LITERATURE REVIEW

    Tabuti et al (1993) in an article on traditional herbal drugs presented an inventory

    of the medicinal plants of Bulamogi country in Uganda, including their medicinal

    use, preparation and administration modes. Fieldwork for this study was

    conducted between June 2000 and June 2001 using semi-structured interviews,questionnaires, and participant observation as well as transects walks in wild

    herbal plant collection areas. They recorded 229 plant species belonging to 168

    genera in 68 families with medicinal properties. A large proportion of these plants

    are herbaceous. The medicinal plants are mainly collected from the wild. Some

    species, such as Sarcocephalus latifoliys (Smith) Bruce, are believed by the

    community to be threatened y unsustainable intensities of use and patterns of

    harvesting. Particularly vulnerable are said to be the woody or the slow growing

    species. Herbal medicines are prepared as decoctions, infusions, powders, or as

    ash, and are administered in a variety of ways. Other concoctions consist of juicesand saps. The purported therapeutic claims await validation. Validation in our

    opinion can help to promote confidence among users of traditional medicine, and

    also to create opportunities for the marketing of herbal medicines and generate

    incomes for the community. The processing packaging and storage of herbal

    medicines is substandard and require improvement.

    Yang et al (1999) in an article on rapidly progressive fibrosing interstitial

    nephritis associated with Chinese herbal drugs noted that rapidly progress

    fibrosing interstitial nephritis after a slimming regimen containing aristolochicacid has been identified as Chinese herbs nephropathy (CHNP). From 1995 to

    1998, we observed 12 Chinese people from different areas of Taiwan who

    underwent renal biopsy for unexplained renal failure. Medical history gave no clue

    to the causes of impaired renal function except for the ingestion of traditional

    Chinese herbs. Although these patients ingested herbal drugs from various sources

    for different purposes, their renal biopsy samples showed amazingly similar

    histological findings, with extensive hypocellular interstitial fibrosis and atrophy

    and loss of tubules in all cases. Glomeruli were apparently intact. They also had

    similar clinical features, such as normal or mildly elevated blood pressure, earlyand severe anemia, low-grade proteinuria, glycosuria, and insignificant urinary

    sediments. Renal function deteriorated rapidly in most patients despite

    discontinuation of the herbal medicines. Seven patients underwent dialysis, and

    the remainder experienced slowly progressive renal failure. Bladder carcinoma

    was found in one patient. Morphologically and clinically, the nephropathy in our

    patients was similar to CHNP, reported in Belgium. Because of the complexity

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    and unknown types of herbs used in different clinical situations, unidentified

    phytotoxins other than aritolochic acid might be responsible for this unique

    disease entity. We conclude that the relation of this nephropathy to the

    consumption of Chinese herbs is striking. Using uncontrolled herbal remedies

    carries a high risk for developing interstitial renal fibrosing and urothelia

    malignancy.

    Joshi and Kaul (2001)in a journal on herbal drugs were of the view that among

    alternative therapeutic approaches that have shown global popularity during the

    past decades, herbal medicine stands out as a major concern in the countries where

    allopathic medicine prevails. The sales of herbal products as health care adjuvant

    in these countries have increased exponentially. Lack of quality control,

    commercial profiteering and exploitation leading to adulterations, lack proper

    knowledge about the herbs and their contents that may exhibit drug-drug

    interactions and other adverse side-effect, and inappropriate usage of the herbal

    products have become a cause for concern in the health care professions,

    particularly in the United States. This review provides an incisive description of

    the known chemical, pharmacological, clinical and toxicological profiles of four of

    the most widely used herbal products.

    Choi et al (2002)in a journal on regulation and quality control of herbal drugs in

    Korea pointed out that Korea has a great diversity in resources of medicinal plants.

    The traditional herbal medicines and their preparations have been widely used in

    Korea as well as in China and Japan for thousands of years. One of the

    characteristics of Korean herbal medicine preparations is that all the herbal

    medicines are incorporated into extractor at the same time and extracted with

    boiling water during the decoction process. In this process, a variety of

    interactions between the active components of several herbal drugs is more

    difficult than that of western herbal drug. In this paper, we would like to present

    an overview of the characteristics of regulation and quality control of herbal

    medicines in Korea.

    Jia et al (2003)in a book on antidiabetic herbal drugs in China stated that over the

    centuries, Chinese herbal drugs have served as a major source of medicines for the

    prevention of and treatment of disease including diabetes mellitus (known as

    Xiao-ke). It is estimated that more than 200 species of plants exhibit

    hypoglycaemic properties, including many common plants, such as pumpkin.

    Wheat, celery, wax, guard, lotus root and bitter melon. To date, hundreds of herbs

    and traditional Chinese medicine formulas have been reported to have been used

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    (total aerobic mesophilic count, enterobacteria, coliforms, aerobic sporeformers,

    yeasts and moulds, enterococci, lactobacilli, pseudomonades and aeromades) and

    selective methods for detection of indicator microorganisms pathogens (E. coli,

    enterohaemorrhagic E.coli (EHEC), Salmonella, Campylobacter jejuni,

    Psudomonas aeruginosa, Bacillus cereus, Clostridium perfringens, Listeria,

    coagulase-positive staphylococci, Candida albicans, potentially aflatoxigenic

    moulds) were applied. The microbial load of the samples varied considerably.

    While none of the samples contained EHEC, Salmonellae, Pseudomonas,

    aeruginosa, Listeriae, Staphylococcus aureus or Candida albicans, four samples

    were E.coli positive, two samples were presumptively Campylobacter jejuni

    positive and none herbal drugs contained a potentially aflatoxigenic mould flora.

    Further details regarding different viable count classes as well as preparation

    techniques are discussed.

    Ernst (2008) in an article on the adverse effect of herbal drugs in dermatology

    noted that herbal treatments are becoming increasingly popular, and are often used

    for dermatological conditions. Thus dermatologists should know about their

    potential to cause adverse events. This review is aimed at addressing this area in a

    semisystematic fashion. Some agents, particularly Chinese herbal creams, have

    been shown repeatedly to be adulterated with corticosteroids. Virtually all herbal

    remedies can cause allergic reactions and several can be responsible for

    photosensitization. Some herbal medicines, in particular Ayurvedic remedies,

    contain arsenic or mercury that can produce typical skin lesions. Other popular

    remedies that can cause dermatological side-effects include St Johns Wort, Kava,

    aloe vera, eucalyptus, camphor, henna and yohimbine. Finally, there are some

    herbal treatments used specifically for dermatological conditions, e.g. Chinese oral

    herbal remedies for atopic eczema, which have the potential to cause systemic

    adverse effects. It is concluded that adverse effects of herbal medicines are an

    important albeit neglected subject in dermatology, which deserves further

    systematic investigation.

    Stedman (2012) in an article on herbal hepatoxicity noted that herbal

    hepatotoxicity is increasingly recognized as herbal medicines become more

    popular in industrialized societies. Some herbal products may potentially benefit

    people with liver disease; however, these benefits remain generally unproved in

    humans, and a greater awareness of potential adverse effects is required. Herbal

    use is often not disclosed, and this may result in a diagnostic delay and

    perpetuation or exacerbation of liver injury. Female gender may predispose to

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    hepatotoxicity, and concomitant agents that induce cytochrome P450 enzymes

    may also increase individual susceptibility. The range of liver injury includes

    minor transaminase elevations, acute and chronic hepatitis, steatosis, zonal or

    diffuse hepatic necrosis, hepatic fibrosis and cirrhosis,veno-occlusive disease, and

    acute liver failure requiring transplantation. In addition to potential for

    hepatotoxicity, drug-drug interactions between herbal medicines and conventional

    agents may affect the efficacy and safety of concurrent medical therapy. This

    review focuses on emerging hepatotoxin and patterns of liver injury, potential risk

    factors for herbal hepatotoxicity, and herb-drug interactions. Appropriate reporting

    and regulatory systems to monitor herbal toxicity are required, in conjunction with

    ongoing scientific evaluation of the potential benefits of phytotherapy.

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    CHAPTER TWO

    DATA COLLECTION

    2.1

    RESEARCH DESIGN

    Survey design was used in the study. The data collected was primarily through the

    use of a well defined questionnaire. The sampling technique where the entire

    population is divided into groups, or clusters and a random sample of these

    clusters are selected. All observations in the selected clusters are included in the

    sample.

    This method was used as the researcher cannot get a complete list of the

    population of the state but can get a complete list of groups or clusters or local

    government of the state.

    This sampling technique was used as it is more practical and/or economical thansimple random sampling or stratified sampling.

    2.2 SAMPLE SIZE

    A sample size of 100 people was taken from five (5) randomly selected clusters

    (local government) in Lagos State. Hence, the population considered in the

    research is 500 people.

    2.3 DATA COLLECTION METHOD

    The type of data to be used as said earlier is primary data, and this would be

    collected through the use of questionnaire (Appendix 1).

    2.4 PROBLEMS OF DATA COLLECTION

    Although the main tool to any research work, the process of getting statistical data

    for analysis is always challenging and pains-taking. Quite a number of problems

    arose but the core ones are:

    i.

    Although the data was collected during weekends when most of the targetrespondents will be available, convincing the respondent to respond to the

    questionnaire was really cumbersome.

    ii. Also, the choice of sample area (Local Government) was not easily made as

    detailed information on each LGs in the State was collected and sampling

    criteria considered.

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    iii.

    Finally, the cost of transportation and printing out the questionnaire was

    also a problem.

    2.5 ANALYTICAL METHOD

    The methods considered in the research include:

    Chi-Square: It is used to test frequency. The respondents has different options of opinion

    to the question which will be presented as frequencies. Hence, the test was used.

    Kruskal-walis: The questionnaire captured major likely problem affecting the great use of

    herbal drug in Lagos. The kruskal-walis test compares samples from the same population

    to see if theres a significant difference.

    Wilcoxon Signed- Rank: This test is employed when the null hypothesis in the kruskal-

    walis which always supports uniformity of the samples is rejected. It is used to identify

    the sample(s) that have different performance.

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    CHAPTER THREE

    DATA ANALYSIS

    It is claiming that individual of different occupation and educations are rapidly embracing

    the idea of the use of herbal drugs as it offers cure for a wide range of diseases. The claim

    also covers that more and more people are going into the production and sales of herbal

    drugs as it is economical and easily-found.

    3.1 HYPOTHESIS TESTING

    3.1.1 Hypothesis One

    Ho: Use of herbal drugs is independent on occupation

    Hi: Use of herbal drugs is dependent on occupation

    Decision Rule: Accept H0if -value < 0.05, otherwise reject.

    Table 3.1.1: Test Statistics

    Occupation

    Chi-Square

    df

    symp.Sig.

    209.631

    5

    .000

    a.

    0 cells (0.0%) have expected

    Frequencies less than 5.

    The minimum expected cell

    frequency is 81.8.

    2cal = 209.631and = 0.00

    Conclusion: Occupation in Lagos state influence the use of herbal drugs.

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    3.1.2 Hypothesis Two

    Ho: Use of herbal drugs is independent on education

    Hi: Use of herbal drugs is dependent on education

    Decision Rule: Accept H0if -value < 0.05, otherwise reject.

    Table 3.1.2: Test Statistics

    Education

    Chi-Square

    df

    symp.Sig.

    303.11

    5

    .000

    b.

    0 cells (0.0%) have expectedfrequencies less than 5.

    The minimum expected cell

    frequency is 81.8.

    2cal = 303.11and = 0.000

    Conclusion: Education in Lagos state influence the use of herbal drugs.

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    3.1.3 Hypothesis Three

    Ho: Use of herbal drugs is independent on age of usage

    Hi: Use of herbal drugs is dependent on age of usage

    Decision Rule: Accept H0if -value < 0.05, otherwise reject.

    Table 3.1.3b: Test Statistics

    age

    Chi-Square

    df

    symp.Sig.

    46.109a

    1

    .000

    c.

    0 cells (0.0%) have expectedFrequencies less than 5.

    The minimum expected cell

    frequency is 250.0

    2cal = 46.109and = 0.000

    Conclusion: Age of usage in Lagos state influence the use of herbal drugs.

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    3.2 TEST ON PROBLEMS WITH HERBAL DRUGS

    RS = Repulsive Smell, BT = Bitter Taste, LoD = Lack of Dosage, PQC = Poor

    Quality Control and PAP = Poor Appearance Package

    = i = 1, 2, 3, . . ., n

    SD =

    Table 3.2a: Descriptive Statistics

    N Mean Std. Deviation Minimum Maximum

    RS

    BT

    LoD

    PQC

    PAP

    5

    5

    5

    5

    5

    96.0000

    89.0000

    91.4000

    92.0000

    94.2000

    122.57039

    120.39103

    81.08206

    60.86050

    50.42519

    2.00

    3.00

    13.00

    5.00

    26.00

    262.00

    258.00

    225.00

    166.00

    165.00

    Ho: Pvi~N(0,1)

    Hi: Piv N(0,1)

    Decision Rule: Accept H0if -value < 0.05, otherwise reject.

    X 1n

    n - 1

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    Table 3.2b: One-Sample Kolmogorov-Smirnov Test

    RS BT LoD PQC PAPN

    MeanNormal Parameters

    a,b

    Std. Deviation

    Absolute

    Most Extreme Differences Positive

    Negative

    Kolmogorov-Smirnov-z

    Asymp.Sig. (2-tailed)

    5

    96.0000

    122.57039

    .348

    .348

    -.222

    .779

    .579

    5

    89.0000

    120.39103

    .360

    .360

    -.238

    .805

    .536

    5

    91.4000

    81.08206

    .248

    .248

    -.167

    .555

    .918

    5

    92.0000

    60.86050

    .159

    .124

    -.159

    .355

    1.000

    5

    94.2000

    50.42519

    .231

    .231

    -.161

    .516

    .953

    a. Test distribution is Normal.

    b.

    Calculate from data.

    Conclusion: Reject H0that the associated problems (RS, BT, LoD, PQC and PAP) do not

    follow the normal distribution (Asymp. Sig. 0.597, 0.536, 0.918, 1 and 0.953 > 0.05).

    Hence the non-parametric analysis.

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    3.2.1 Kruskal-Wallis Test

    H0: RS = BT = LoD =PQC = PAP = 0

    vs

    H1: Tis 0 (for at least an i)

    KN = - 3(N + 1) ~ KN

    Decision Rule: Accept H0if -value < 0.05, otherwise reject.

    3.2.1a: Test Statistics

    a.

    Kruskal Wallis Test

    b.

    Grouping Variable Response

    Conclusion: Theres a statistically significant difference between the associated problems

    of using herbal drugs (2cal= 4.000, = 0.406)

    RS BT LoD PQC PAP

    Chi-Square

    df

    symp.Sig.

    4.000

    4

    .406

    4.000

    4

    .406

    4.000

    4

    .406

    4.000

    4

    .406

    4.000

    4

    .406

    i = 1

    R12

    k

    12

    N (N+1)

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    3.2.2 Wilcoxon Signed- Rank Post-Hoc Test

    H0: T1= TK = 0 vs

    H1: Tis Tk 0 (for at least an i and k)

    Table 3.2.2a: Test Statistics

    a.

    Wilcoxon Signed Ranks Test

    b.

    Based on positive ranksc.

    Based on negative ranks

    Table 3.2.2b: Table of Significance

    Pair Z-value

    Asymp. Sig. (2-

    tailed) Conclusion

    RS-BT

    RS-LoD

    RS-PQCRS-PAP

    BT-LoD

    BT-PQC

    BT-PAP

    LoD-PQC

    LoD-PAP

    PQC-PAP

    -1.735

    -0.135

    -0.405-0,405

    -0.135

    -0.405

    -0.135

    -0.674

    -0.368

    -0.405

    0.08

    0.893

    0.6860.686

    0.893

    0.686

    0.893

    0.5

    0.713

    0.686

    Significant difference

    No Significant difference

    No Significant differenceNo Significant difference

    No Significant difference

    No Significant difference

    No Significant difference

    No Significant difference

    No Significant difference

    No Significant difference

    BT-RS

    LoD- RS

    PQC -RS

    PAP- RS

    LoD- BT

    PQC -BT

    PAP- BT

    PQC -LoD

    PAP-

    LoD

    PAP -PQC

    z

    Asymp.Sig.

    (2-tailed)

    -1.753

    .080

    -.135

    .893

    -.405

    .686

    -.405

    .686

    -.135

    .893

    -.405

    .686

    -.135

    .893

    -.674

    .500

    -.368

    .713

    -.405

    .686

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    CHAPTER FOUR

    SUMMARY, CONCULISON AND RECOMMENDATIONS

    4.1 SUMMARY

    The research was carried-out to determine rate of herbal drugs usage in Lagos

    State using a well-defined questionnaire. The state was divided into clusters (Local

    Governments) and a random sample of 100peoples each was taken from five (5)

    randomly selected clusters. The response was analyzed using SPSS V21.

    4.2 CONCLUSION

    Analysis led to the following conclusions:

    i. The education, occupation and age of Lagosians positively affect the use of herbal

    drugs in that order.

    ii.

    The associated problems considered (Repulsive smell, Bitter taste, Lack of

    Dosage, Poor Quality Control and Poor Appearance Packaging) significantly

    contributes to the poor use of herbal drugs in the state.

    iii.

    The taste and smell of these drugs contributed more than other identified problem

    to the poor use of herbal drugs.

    4.3 RECOMMENDATIONS

    In view of the analysis carried out to improve the spread and appreciation of the

    use of herbal drugs i.e her best use, the following suggestions are strongly

    recommended.

    i.

    Other factors responsible for the use of herbal drugs should be sought out like that

    is the status of respondents.ii.

    The taste and smell of herbal drugs should be considered

    iii. A further research is advisable as cases of different sickness springs-out on daily

    basis.

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    APPENDIX 1

    General Response

    Response Repulsivesmell

    Bitter taste Lack of dosage Poor QualityControl

    PoorAppearance of

    Packaging

    Strongly agreed 193 176 102 166 102

    Agreed 262 258 225 123 165

    Disagreed 9 4 62 65 75

    Stronglydisagreed

    14 3 55 101 103

    Undecided 2 4 13 5 26

    Response Occupation Response Educational

    qualification

    Response Age

    Civil servant 193 FSLC 181 Single 303

    Self

    employed

    262 O LEVEL 97 married 197

    Politician 9 Diploma/ON/NCE 102

    student 14 BSc/BEd 542 Masters 39

    PHD 18

    Total 480 Total 491 Total 500

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    APPENDIX 2

    N-Par Tables

    Chi-Square table on Occupation

    Observed N Expected N Residual

    1.00

    2.00

    3.00

    4.00

    Total

    103

    175

    69

    134

    481

    120.3

    120.3

    120.3

    120.3

    -17.3

    54.8

    -51.3

    13.8

    Chi-Square table on Education

    Observed N Expected N Residual

    1.00

    2.00

    3.00

    4.00

    5.00

    6.00

    Total

    181

    97

    102

    54

    39

    18

    491

    81.8

    81.8

    81.8

    81.8

    81.8

    81.8

    -99.2

    15.2

    20.2

    -27.8

    -42.8

    -63.8

    Chi-Square table on Age

    Observed N Expected N Residual

    1.00

    2.00

    Total

    303

    197

    500

    250.0

    250.0

    53.0

    -53.0

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    APPENDIX 3

    Kruskal wallis Test Table

    Ranks

    Response N Mean

    Rank

    RS

    1.00

    2.00

    3.00

    4.00

    5.00

    Total

    1 4.00

    1 5.00

    1 2.00

    1 3.00

    1 1.005

    BT

    1.00

    2.00

    3.00

    4.00

    5.00

    Total

    1 4.00

    1 5.00

    1 2.50

    1 1.00

    1 2.50

    5

    LoD

    1.00

    2.00

    3.004.00

    5.00

    Total

    1 4.00

    1 5.00

    1 3.001 2.00

    1 1.00

    5

    PQC

    1.00

    2.00

    3.00

    4.00

    5.00

    Total

    1 5.00

    1 4.00

    1 2.00

    1 3.00

    1 1.00

    5

    PAP

    1.002.00

    3.00

    4.00

    5.00

    Total

    1 3.001 5.00

    1 2.00

    1 4.00

    1 1.00

    5

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    APPENDIX 4

    Descriptive StatisticsN Percentiles

    25th 50th (Median) 75th

    RSBTLoD

    PQCPAP

    555

    55

    5.50003.5000

    34.0000

    53.000050.0000

    14.00004.0000

    62.0000

    123.0000102.0000

    227.5000217.0000163.5000

    165.5000134.0000

    RanksN Mean Rank Sum. of Ranks

    BTRS

    Negative Ranks

    Positive Ranks

    TilesTotal

    4a

    1b

    0

    c

    5

    2d

    3e

    0f

    5

    2g

    3h

    0i

    5

    2j

    3k

    0i

    5

    2m3n

    0o

    5

    2p

    3q

    0r

    5

    2s

    3t

    0u

    5

    2v

    3w0x

    5

    1y

    3z

    1aa

    5

    3.50

    1.00

    3.50

    2.67

    3.00

    3.00

    4.50

    2.00

    3.502.67

    3.00

    3.00

    3.50

    2.67

    2.50

    3.33

    4.00

    2.00

    14.00

    1.00

    7.00

    8.00

    6.00

    9.00

    9.00

    6.00

    7.008.00

    6.00

    9.00

    7.00

    8.00

    5.00

    10.00

    4.00

    6.00

    LoDRS

    Negative Ranks

    Positive Ranks

    Tiles

    Total

    PQCRS

    Negative Ranks

    Positive Ranks

    Tiles

    Total

    PAPRS

    Negative Ranks

    Positive Ranks

    Tiles

    Total

    LoDBT

    Negative Ranks

    Positive Ranks

    Tiles

    Total

    PQC- BT

    Negative Ranks

    Positive Ranks

    Tiles

    Total

    PAP- BT Negative Ranks

    Positive Ranks

    Tiles

    Total

    PQCLoD

    Negative Ranks

    Positive RanksTiles

    Total

    PAPLoD

    Negative Ranks

    Positive Ranks

    Tiles

    Total

  • 8/10/2019 Project - Use of Herbal Drugs

    22/23

    PAP - PQC

    Negative Ranks

    Positive Ranks

    Tiles

    Total

    2ab

    3ac

    0ad

    5

    4.50

    2.00

    9.00

    6.00

  • 8/10/2019 Project - Use of Herbal Drugs

    23/23

    STUDENT RESEARCH QUESTIONNAIRE

    Please, I am a final year student of University of Nigeria, Nsukka. I really need your

    assistance in carrying out a research on A Statistical Analysis of Opinion of Lagos State

    Residents on the use of herbal drugs. Please be assured that the information given will

    be treated with high confidentially.

    Age:------------------------------------------------------------------------------------------------

    Educational Level:-------------------------------------------------------------------------------

    Occupation:----------------------------------------------------------------------------------------

    Age:-------------------------------------------------------------------------------------

    Place of Work:------------------------------------------------------------------------------------

    Tick the following according to your opinion on the statement.

    USAGE OF HERBAL DRUGS SA A SD D U

    We use herbal drugs in my family

    Herbal drugs are effective

    Herbal drugs are expensive

    Herbal drugs are common

    Herbal drugs should be taken by people above 18yrs

    PROBLEMS ASSOCIATED WITH THE USE OF

    HERBAL DRUGS

    SA A SD D U

    Herbal drugs have a repulsive smell

    Herbal drugs have a bitter taste

    Herbal drugs do not have proper dosage

    Herbal drugs do not have quality control

    Herbal drugs are not properly package