Analysis of Health Information National Trends Survey

Analysis of Health Information National Trends Survey

Answer No. 1

In view of the given analysis that relates to HINTS data, the aim is to find out whether there is a relation between gender and general health. In this purpose situation, Chi-Square test is applied as this statistical test is used to finding the relation or association between the two nominal variables which are gender and general health in this case.

Hypothesis

HO: There is relationship of gender with general health.

HA: There is no relationship of gender with general health.

genderc * generalhealth Crosstabulation

Count

generalhealth

Total

excellent

very good

good

fair

poor

genderc

male (go to f1 on the next page)

179

556

551

200

51

1537

female

309

811

811

291

66

2288

Total

488

1367

1362

491

117

3825

Chi-Square Tests

Value

df

Asymp. Sig. (2-sided)

Pearson Chi-Square

3.296a

4

.510

Likelihood Ratio

3.317

4

.506

Linear-by-Linear Association

1.686

1

.194

N of Valid Cases

3825

a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 47.01.

In view of the above chi-square table, it is noted that the level of significance is more than 0.05, indicating there is no relationship between gender and general health self-reported score. For that reason, it can be concluded that gender is not related to general health; thus, the alternate hypothesis of the study is accepted.

Answer No. 2

This part of the study also based on HINTS data which aims to examine the relation between BMI and General Health Self-reported score. One way ANOVA is applied because this statistical test is used in finding the significant difference in the mean between the one scale variable that is body mass index of the individuals and other nominal variable that is are gender and general health.

Hypothesis

HO: The means of BMI and general health are significantly different.

HA: The means of BMI and general health are not significantly different.

ANOVA

bmi

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

3885.131

4

971.283

8.712

.000

Within Groups

436821.232

3918

111.491

Total

440706.362

3922

The analysis of variance table is indicating whether we have a statistically significant difference between the mean values of BMI and general health. It can be observed that the level of significance is less than 0.05, thus, it can be stated that there is a statistically significant difference in the mean body mass index of the individuals with respect to their general health. However, through this analysis, it is not known that which of the group differed.

Multiple Comparisons

Dependent Variable: bmi Tukey HSD

(I) generalhealth

(J) generalhealth

Mean Difference (I-J)

Std. Error

Sig.

95% Confidence Interval

Lower Bound

Upper Bound

excellent

very good

-1.80846*

.55184

.009

-3.3145

-.3025

good

-2.75236*

.55189

.000

-4.2585

-1.2462

fair

-3.34976*

.66555

.000

-5.1661

-1.5334

poor

-3.39590*

1.07060

.013

-6.3176

-.4742

very good

excellent

1.80846*

.55184

.009

.3025

3.3145

good

-.94390

.39945

.126

-2.0340

.1462

fair

-1.54130*

.54583

.038

-3.0309

-.0517

poor

-1.58744

1.00058

.506

-4.3181

1.1432

good

excellent

2.75236*

.55189

.000

1.2462

4.2585

very good

.94390

.39945

.126

-.1462

2.0340

fair

-.59740

.54588

.810

-2.0871

.8923

poor

-.64354

1.00061

.968

-3.3743

2.0872

fair

excellent

3.34976*

.66555

.000

1.5334

5.1661

very good

1.54130*

.54583

.038

.0517

3.0309

good

.59740

.54588

.810

-.8923

2.0871

poor

-.04614

1.06752

1.000

-2.9594

2.8672

poor

excellent

3.39590*

1.07060

.013

.4742

6.3176

very good

1.58744

1.00058

.506

-1.1432

4.3181

good

.64354

1.00061

.968

-2.0872

3.3743

fair

.04614

1.06752

1.000

-2.8672

2.9594

*. The mean difference is significant at the 0.05 level.

A Tukey post-hoc test revealed that the body mass index of the individuals are statistically significantly lower after several days of general health as the level of significance is below 0.05 that is 0.003 compared to not at all. On the contrary, it is also found that there are no statistically significant differences between the nearly every day, more than half the days and not as the significance levels are above 0.05. Thus, it can be concluded that there is the mean of BMI and general health are significantly different.

Answer No. 3

This part of the study relates to whether having the equivalent of one cup or more of fruit a day is related to General Health Self-reported score. For this purpose, new factor is ...