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gosaltybouquetphantom-blog · 8 years ago

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Coursera Week 4 assignment

This is assignment on charting.

I have done charting on the basis of:

1. univariate analysis: on basis of sex . What is the sex distribution of responders

2. univariate analysis of frequency of depression episodes

3. multivariate analysis: relation between sex and frequency of drinking in last 12 months

4. multivariate analysis : relation between drinking and frequency of depression

Conclusion:

1. The frequency of drinking in males ("1") was 8, the frequency of drinking in females ("2") was 8.2

2. The frequency of depression episodes was8.2 in males and 8.1 in females

3. Surprisingly females had a marginally higher frequency of drinking than males

4. The frequency of depression episodes were similar in male and female

Codes:

LIBNAME mydata "/courses/d1406ae5ba27fe300" access= readonly; DATA new; set mydata.nesarc_pds; KEEP SEX S2AQ4B S4AQ1 IDNUM; LABEL SEX="SEX OF RESPONDENTS" S2AQ4B="FREQUENCY OF DRINKING IN LAST 12 MONTHS" S4AQ1= "EVER HAD 2-WEEK PERIOD WHEN FELT SAD"; AGE= "AGE"; /*Univariate analysis of sex*/ PROC GCHART; VBAR SEX/Discrete type= PCT Width= 25; /*Bivariate graph*/ PROC GCHART; VBAR SEX/Discrete type=mean sumvar= S2AQ4B; RUN;

Output:

#relation between gender and frequency of drinking

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gosaltybouquetphantom-blog · 8 years ago

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Week 3 assignment

I this assignment, I have set the responses where no of alcoholic units consumed in last 12 months were set to 'missing'

In next step I have defined the risk levels by defining a new variable risk l

low_risk (1) = "More than once a month"

medium_risk (2) = "Once or twice a week/ 2 to 3 times a month/ once a month"*

high_risk (3) = "Every day/nearly every day drinker"*

CODE

LIBNAME mydata "/courses/d1406ae5ba27fe300" access= readonly; DATA new; set mydata.nesarc_pds; KEEP RISK SEX S2AQ4B S4AQ1 AGE IDNUM; LABEL SEX="SEX OF RESPONDENTS" S2AQ4B="FREQUENCY OF DRINKING IN LAST 12 MONTHS" S4AQ1= "EVER HAD 2-WEEK PERIOD WHEN FELT SAD"; /*Subsetting the data into adults 18-45 years, by sex, byfrequency of drinking*/ IF AGE >= 18; IF AGE <= 45; /*Setting the 'unknown' response of S2AQ4B to 'missing'*/ IF S2AQ4B= 99 THEN S2AQ4B=.; /*Setting the type of drinker to low_risk, medium_risk, high_risk */ /*high_risk= "Every day/nearly every day drinker"*/ /*medium_risk= "Once or twice a week/ 2 to 3 times a month/ once a month"*/ /*low_risk= "More than once a month"*/ IF S2AQ4B= 1 THEN RISK= 1; IF S2AQ4B= 2 THEN RISK= 1; IF S2AQ4B= 3 THEN RISK= 2; IF S2AQ4B= 4 THEN RISK= 2; IF S2AQ4B= 5 THEN RISK= 2; IF S2AQ4B= 6 THEN RISK= 3; IF S2AQ4B= 7 THEN RISK= 3; IF S2AQ4B= 8 THEN RISK= 3; IF S2AQ4B= 9 THEN RISK= 3; IF S2AQ4B= 10 THEN RISK= 3; PROC SORT; by IDNUM; PROC FREQ; TABLES SEX S2AQ4B AGE S4AQ1 RISK; RUN;

OUTPUT

No of responders at low_risk: 70 (1.18%)

No of responders at medium_risk: 646(10.85%)

No of responders at high_risk: 5237 (87.97%)

Output:

The FREQ Procedure

Table SEX

One-Way Frequencies

SEX OF RESPONDENTSSEXFrequencyPercentCumulative FrequencyCumulative Percent11008744.001008744.0021283956.0022926100.00

Table S2AQ4B

One-Way Frequencies

FREQUENCY OF DRINKING IN LAST 12 MONTHSS2AQ4BFrequencyPercentCumulative FrequencyCumulative Percent

Frequency Missing = 16973

1370.62370.622330.55701.183861.441562.6242003.363565.9853606.0571612.03660210.11131822.14783614.04215436.1885369.00269045.199141123.70410168.8910185231.115953100.00

Table AGE

One-Way Frequencies

AGEFrequencyPercentCumulative FrequencyCumulative Percent187463.257463.25197223.1514686.40207153.1221839.52217483.26293112.78227343.20366515.99237313.19439619.17248033.50519922.68256392.79583825.46266282.74646628.20277023.06716831.27287213.14788934.41297773.39866637.80308693.79953541.59318613.761039645.35328733.811126949.15338463.691211552.84348433.681295856.52358613.761381960.28368853.861470464.14379914.321569568.46389894.311668472.77399244.031760876.80409924.331860081.13418813.841948184.97429123.982039388.95438323.632122592.58448233.592204896.17458783.8322926100.00

Table S4AQ1

One-Way Frequencies

EVER HAD 2-WEEK PERIOD WHEN FELT SADS4AQ1FrequencyPercentCumulative FrequencyCumulative Percent1668329.15668329.1521577768.822246097.9794662.0322926100.00

Table RISK

One-Way Frequencies

RISKFrequencyPercentCumulative FrequencyCumulative Percent

Frequency Missing = 16973

1701.18701.18264610.8571612.033523787.975953100.00

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gosaltybouquetphantom-blog · 8 years ago

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Output:

1. Of the drinkers, 44% were males and 56% were females

2. The maximum frequency of drinking was 10 times in last 12 months

3. 68% patients had 2 episodes of sadness in last 2 weeks

Results:

The FREQ Procedure

Table SEX

One-Way Frequencies

“SEX OF RESPONDENTS”SEXFrequencyPercentCumulative FrequencyCumulative Percent11008744.001008744.0021283956.0022926100.00

Table S2AQ4B

One-Way Frequencies

“FREQUENCY OF DRINKING IN LAST 12 MONTHS”S2AQ4BFrequencyPercentCumulative FrequencyCumulative Percent

Frequency Missing = 16962

1370.62370.622330.55701.173861.441562.6242003.353565.9753606.0471612.01660210.09131822.10783614.02215436.1285368.99269045.109141123.66410168.7610185231.05595399.8299110.185964100.00

Table AGE

One-Way Frequencies

Table S4AQ1

One-Way Frequencies

“EVER HAD 2-WEEK PERIOD WHEN FELT SAD”S4AQ1FrequencyPercentCumulative FrequencyCumulative Percent1668329.15668329.1521577768.822246097.9794662.0322926100.00

Week 2 assignment

We are trying to find the frequency of drinks in adults between age 18-45 years; their frequency of drinking and the major depression episodes.

SAS Code:

LIBNAME mydata “/courses/d1406ae5ba27fe300” access= readonly; DATA new; set mydata.nesarc_pds; LABEL SEX=“SEX OF RESPONDENTS” S2AQ4B=“FREQUENCY OF DRINKING IN LAST 12 MONTHS” S4AQ1= “EVER HAD 2-WEEK PERIOD WHEN FELT SAD”; /*Subsetting the data into adults 18-45 years, by sex, byfrequency of drinking*/ IF AGE >= 18; IF AGE <= 45; PROC SORT; by IDNUM; PROC FREQ; TABLES SEX S2AQ4B AGE S4AQ1; RUN

Output:

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gosaltybouquetphantom-blog · 8 years ago

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Week 2 assignment

We are trying to find the frequency of drinks in adults between age 18-45 years; their frequency of drinking and the major depression episodes.

SAS Code:

LIBNAME mydata "/courses/d1406ae5ba27fe300" access= readonly; DATA new; set mydata.nesarc_pds; LABEL SEX="SEX OF RESPONDENTS" S2AQ4B="FREQUENCY OF DRINKING IN LAST 12 MONTHS" S4AQ1= "EVER HAD 2-WEEK PERIOD WHEN FELT SAD"; /*Subsetting the data into adults 18-45 years, by sex, byfrequency of drinking*/ IF AGE >= 18; IF AGE <= 45; PROC SORT; by IDNUM; PROC FREQ; TABLES SEX S2AQ4B AGE S4AQ1; RUN

Output:

#The FREQ ProcedureThe FREQ ProcedureTable SEXOne-Way FrequenciesSEX OF RESPONDENTSSEXFrequencyPercentCumulative FrequencyCumulative Percent1

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gosaltybouquetphantom-blog · 8 years ago

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Effect of alcoholism on depression

I have chosen this topic because alcoholism is quiet a taboo among the young generation. Chronic alcoholism has several disadvantages including the one that leads to depression.

I will explore the relation between alcohol consumption and major depression.

Limited publications are available to explore relation between alcohol use and depression.

Paschall et al explored association between moderate alcohol use and depressive mood among young adults. They found that moderate alcohol use may have no effect on depression in young adults relative to abstinence from alcohol use.

I would like to reinstate the findings from this study including relation between depression and alcoholism in moderate, heavy drinkers and life time abstainers.

Reference

1. Paschall MJ, Freisthler B, Lipton RI. Moderate alcohol use and depression in young adults: findings from a national longitudinal study. Am J Public Health. 2005;95(3):453-7.

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