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Biometrics & Biostatistics International Journal

Research Article Volume 8 Issue 5

Statistical analysis of social determinants of mental health problems

Manju Jose

Alphonsa College, India

Correspondence: Manju Jose, Department of Statistics, Alphonsa College, Pala, Arunapuram PO, Kottyam District, Kerala, India, Tel Tel 9446049331

Received: September 02, 2019 | Published: November 21, 2019

Citation: Jose M. Statistical analysis of social determinants of mental health problems. Biom Biostat Int J. 2019;8(5):172-176. DOI: 10.15406/bbij.2019.08.00286

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Abstract

Mental health is as important as physical health to the overall well being of individuals, societies and countries. To understand what psychiatric services are required for a community, it is necessary to know the frequency of mental disorder in the population and how these disorders became known to the medical services. Alcohol and other drugs related problems, rate of suicide and divorce rate are too high in Kerala. Therefore, we are studying the severity of mental health problem prevailing in Kerala.

This work is an attempt to identify the mental health conditions, and analyze the socio-economic and mental behavior of mentally challenged people. Here we consider the psychiatric problems which affect the social, economic and mental status of people in the society and the reasons for the growth of mental disorders. In addition, we studied about the family background, hereditary and the sleep disturbances of psychiatric patients.

Keywords: mental disorders, sleeping time, parenting style, family life satisfaction

Introduction

By mental illness, we mean a medical condition, which disturbs a person’s intellectual and psychic capacities and ability to have normal relation with others. It may affect daily functioning of the person.1 Social inequalities result in increased risk of many common mental disorders. Psychiatric disorders differ in their nature, severity, and prevalence. Common causes of Mental Disorders are communities and cultures, relationships, environmental factors, structure of the brain, biological factors, drug intakes etc.2

More than one lakh people commit suicide every year in India. The suicide rate of the last three decades has increased by 43%. The suicide rate varies very much in different parts of the country. The suicide rates in the southern states like Kerala, Karnataka, Andhra Pradesh and Tamilnadu is >15. However, the suicide rate in the northern sides of Punjab, Uttar Pradesh, Bihar and Jammu Kashmir comes to <3.3 This variable pattern has been stable for last 20 years. Majority of suicide in India are by persons below the age of 44 years, which impose a huge social, emotional, and economic burden. The impact of psychiatric problem has social, cultural and economic implications. Hence, it is necessary to analyze how psychiatric problems affect the socio economical and mental life of people in the society.

Methods

The study seeks to employ the inter disciplinary research methods. Empirical, historical and analytical modes of investigation have been envisaged in this study.

Idukki which is a high range district of Kerala is blessed with mountains and thick forest. It is situated in the middle of Kerala. Its boundaries are Tamilnadu the east, Pathanamthitta district in the south. Kottayam and Ernakulam districts in the west and Trichur in the north. Because of its natural beauty, it has turned to be a tourist attraction. A large number of tourists attracted to it. Idukki has mixed culture due to the large scale of migration from other parts of Kerala and from the neighboring states. Idukki district has a population 1, 107, 453 according to the 2011 census. Sex ratio1006 females for every 1000 males. Its literacy rate is 92.2 percent.4

This study is conducted at Bishop Vayalil Medical centre, Moolamattom, well-known psychiatric hospital in Kerala. Patients with psychiatry problems were made subject from study the data are collected from the clinical information and interview with patients, informant or both.

The basic objective of this study is the socio-demographic profile of psychiatric patients. Considering the time and resources, available 200 patients are included in this study. The data collection is based on the incidental sampling method. The clinical information and the interview schedule are using for data collection by interviewing either the patient or the informant or both as appropriate.

The collected data is analyzed by using the SPSS v17.0 software. The basic characteristics of the subjects are presented as a proportion. For categorical variables, interdependence is tested by the chi square test. For scale variables, t-test is used to determine the significance of the difference between the two means. P value of <0.05 was considered statistically significant.

Results

Age –wise classification of respondents

Psychiatric problems affect almost all sections of the populations. Mostly middle-aged persons are more vulnerable to diseases. The possible reason could be that most of the patients between 20 and 50 belong to the economically productive and therefore they were brought for the right care (Table 1) ( Figure 1).

Figure 1 Age–Wise classification.

Age

Frequency

Percent

20-30

27

13.5

30-40

77

38.5

40-50

53

26.5

50-60

33

16.5

60-70

10

5.0

Total

200

100.0

Table 1 Age–Wise classification

Gender-wise classification of respondents

Gender equality is considered a sign of progress. In Kerala, gender equality is almost at a favorable level. But in psychiatric patients, this equality is not observed. The distribution in this study highly concentrated on males (74%) since the findings the present study prove the fact that male patients use the psychiatric hospitals service more than the female patients (Table 2).

Sex

Frequency

Percent

Male

148

74.0

Female

52

26.0

Total

200

100.0

Table 2 Gender–Wise distribution

Socio-cultural and psychological factors

It is a well-recognized fact that poverty has important implications for both physical and mental health. One study, observes the fact that people who are depressed are those who have a decline in social position and financial circumstances.5 The majority of patients in our study have lower or middle socio –economic status. They have low level of literacy and have the rural or semi urban background (Table 3-5).

Place

Frequency

Percent

Urban

48

24.0

Rural

89

44.5

Semi Urban

61

30.5

Tribal

2

1.0

Total

200

100.0

Table 3 Place of residence

Class of Family

Frequency

Percent

Lower Middle

13

6.5

Middle

176

88.0

Upper

11

5.5

Total

200

100.0

Lower Middle

13

6.5

Table 4 Class of Family

Education Qualification

Frequency

Percent

Class X or below

101

50.5

Pre-degree

51

25.5

Degree

28

14.0

Postgraduation

10

5.0

Professional

10

5.0

Total

200

100.0

Table 5 Education Wise Classification

Marriage and mental health problems

People for whom marriage is stressful are vulnerable and lead to the development of mental health problems. Marital disharmony is caused or the result of major mental health disorders. Couples to seek divorce have generally the high psychiatric morbidity in comparison with well adjusted couples with more neurotic traits.6 The personality factors of divorce-seeking couples also differ from those of couples in stable marriages. Married mentally ill women are more likely to be sent back to their natal homes, abandoned, deserted or divorced (Table 6).

 

Frequency

Percent

Married

89

44.5

Unmarried

105

52.5

Divorced

2

1.0

Separated

4

2.0

Total

200

100.0

Table 6 Marital status

Family life satisfaction

Life satisfaction can reflect experiences that have affected a person in a positive way. These experiences have the ability to motivate people to pursue and reach their goals.  From the study, it is clear that 66% of patients’ family life is not satisfied (Table 7).

 

Frequency

Percent

Yes

68

34.0

No

132

66.0

Total

200

100.0

Table 7 Family life satisfaction

Parenting style

Children’s behavior or symptoms of behavior are directly affected by the parent’s style in dealing with them in the family. There are proves to co-relate parent’s style and children’s behavioral problems.7 The family is a socio-cultural-economic arrangement that exerts significant influence on children’s behavior and the development of their characters. From the study parenting, style and family life satisfaction are dependent (Table 8) (Figure 2).

Figure 2 Parenting style and family life satisfaction.

 

Frequency

Percent

Healthy

81

40.5

Rigid

41

20.5

Faulty

78

39.0

Total

200

100.0

Table 8 Parenting style

 

Value

df

Asymp. Sig. (2-sided)

Pearson Chi-Square

14.094

 

 

Likelihood Ratio

14.535

 

 

Linear-by-Linear Association

7.123

2

.001

No.of Valid Cases

200

2

.001

Pearson Chi-Square

14.094

1

.008

Chi-Square Tests

Eating disorder

Disorders in eating are illnesses. Because of them victims, suffer serious disturbances in eating and related thoughts and emotions. Such parents typically become obsessed with food and their weight increases. Eating disorders affect some several million people at any given time, most often women between the ages of 12 and 35 8. In many cases, eating disorders occur together with other psychiatric disorders like anxiety, panic, obsessive compulsive disorder, and alcohol and drug abuse problems. From the study, it is clear that 42% patients have eating disorders (Table 9).

 

Frequency

Percent

Yes

84

42.0

No

116

58.0

Total

200

100.0

Table 9 Eating disorder

Sleeping problems

Sleep disorders are among the most common clinical problems encountered in medicine and psychiatry. Sleep disorders may be primary or may result from a variety of psychiatric and medical conditions. The most common disorder, causing sleep complaint includes depression, anxiety and substance (illicit drugs and alcohol) abuse (Table 10&11).9

 

Frequency

Percent

No

95

47.5

Yes

105

52.5

Total

200

100.0

Table 10 Sleeping problem

 

 

Mean

Std. Deviation

Std. Error Mean

      t

     df 

 Sig. (2-tailed)

 

 

Pair 1

Sleep B.T - Sleep A.T

-3.060

2.438

.172

-17.747

199

.000

Table 11 Paired t Test for testing the increase in sleeping time after treatment

From the table (Table 10) clear those 52% patients have sleeping problem. Average sleeping time before treatment is 4.32 hours and standard deviation 2.006 and after the treatment is sleeping time is 7.37 hours and standard deviation 1.114.

Sleeping time is increased after the treatment

Time of the day you feel worse

We all feel fed up, miserable or sad at times. These feelings do not usually last longer than a week or two, and they do not interfere too much with our lives. Sometimes there is a reason, sometimes not. We usually cope - we may talk to a friend but do not otherwise need any help (Table 12).

 

Frequency

Percent

Valid Percent

Cumulative Percent

Waking in the morning

117

58.5

58.5

58.5

End of the day

83

41.5

41.5

100.0

Total

200

100.0

100.0

 

Table 12 Time of depressed mood

Chi-Square Tests

 

Value

df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

.858

1

.354

 

 

Continuity Correctionb

.605

1

.436

 

 

Likelihood Ratio

.862

1

.353

 

 

Fisher's Exact Test

 

 

 

.377

.219

Linear-by-Linear Association

.854

1

.355

 

 

N of Valid Cases

200

 

 

 

 

  Time of Depressed Mood and Thought of Ending Your Life

Time of depressed mood and thought of ending your life is not significant.

Starting age of Illness – Distribution

Some mental disorders affect men and women equally. They take place in all ethnic groups around world. Symptoms such as hallucinations and delusions usually appear between 16 and 30. Men begin to experience symptoms a little earlier than women. Most of the time, people do not get schizophrenia after age 45. Schizophrenia rarely occurs in children, but awareness of childhood-onset schizophrenia is increasing (Table 13&14).10

 

Frequency

Percent

Valid percent

Cumulative percent

Below 15

43

21.5

21.5

21.5

15 - 25

122

61.0

61.0

82.5

25  - 35

28

14.0

14.0

96.5

35 - 45

2

1.0

1.0

97.5

Above 45

5

2.5

2.5

100.0

Total

200

100.0

100.0

 

Table 13 Starting Age of Illness

 

 

Presence of similar illness in the family

Total

 

 

Yes

No

Starting  age of Illness

Below 15

21

22

43

15 - 25

56

66

122

25  - 35

11

17

28

35 - 45

2

0

2

Above 45

0

5

5

Total

90

110

200

Table 14 Starting age of Illness* Presence of similar illness in the family cross tabulation

Presence of similar illness in the family

Depression and mental illnesses are often hereditary. They can pass on one generation to another. This means that a person with family history of illness may develop mental disorders. It is believed that mental illness may lead to various abnormalities. This is the reason why the person inherits the vulnerability to develop this illness, but does not inherit the illness itself (Table 15).

 

 

Frequency

Percent

Valid Percent

Cumulative percent

 

Yes

90

45.0

45.0

45.0

No

110

55.0

55.0

100.0

Total

200

100.0

100.0

 

Table 15 Presence of Similar Illness in the Family
From the study, it is clear that 45 % patients have presence of similar illness in the family.

Discussion and conclusion

The basic health facilities are the best in Kerala comparing to other Indian states and keeps equal standard of the developed countries. Low birth ratio, higher female sex ration, low infant mortality and high expectancy had to be note in Kerala in this connection. Kerala has a high suicide rate and this has been attributed to family problems, marital reasons, cultural factors, social stigma and lack of focus on psychiatric problems. Older persons are vulnerable to psychiatric problems not only due to biology alone but also due to various other social factors such as isolation, poverty, lack of caregivers etc.

The studies approved that the majority of patients in the mental hospital suffered from severe mental illnesses. They belong to mainly male gender, rural locality, lower socio-economic class, and low educational status. Majority of them suffer sleeping problems. Average sleeping time is increased after the treatment. The Mental Status examination notes that concentration power, orientation power and memory power are average in them. They have often psychological symptoms like depressed mood, loss of interest to pleasure and restlessness. The main reasons for such problems are hereditary, alcoholism and family problems. Most patients show no interest for work and for entertainment and meditation. Psychiatric disorders very often appears in the relatively younger age group. Study also shows that nearly 66% of patient’s of the family is not satisfied.

Mental health care priorities need to be shifted from psychotic disorders to common mental disorders and from mental hospitals to primary health centers. Future research needs to focus on the general population, longitudinal (prospective), multi-centre, co-morbid studies, assessment of disability, functioning, family burden and quality of life studies involving a clinical service providing approach.

Acknowledgments

None.

Conflicts of interest

The author declares that there are no conflicts of interest.

Funding

None.

References

Creative Commons Attribution License

©2019 Jose. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.