#depressionanxiety

[belovedskies]

[ratlombot2]

. Ok, I admit it… By Ross e f Lombardi. . Ok, I admit It. I admit that I am struggling a little bit. I admit I am bruising my own soul a little bit. I admit that I am flirting with the void a little bit . Ok, I can see it. I can see the value in numbness. I can understand a longing for this nightmare to stop. I can feel the seduction of 'self-ending'. . Ok. I admit that I Do want it. I DO want to quit. I DO want to end. I DO want the comfortable cloth of forever nothingness. . Ok, I'll try it. Try Just a little. Try, To walk, Just a little bit. Try, To notice random street strangers in their lives. Just a tiny bit. Try, To hold on just a bit longer, Just a bit. . I can't keep doing this forever. Forever is too large, Too big, Too impossible to do. . Ok, I admit that I can't do forever. No one could! No one is that strong! In the face of this sickness. It cannot be done! Definitely not a weak shity wuss like me! . But maybe I can go down swinging? But maybe I can go down fighting…! Just for a second. . Only a single second. I Just have to last the next second. Never looking too close at the second after that. Or the one after that. Or that, Or that, Or that, Or that one, over there. . Ok I admit it. I can hold on just one more second. Just one more moment, Just one final moment more. Maybe I can beat the next moment. Just a moment more. . Maybe I can beat this stalking monster. The thing that wants to murder me. Just one more time. Just once more One more. Just one. One. One? One! Until the next. . I may not be able to do much… Admit much… I may be useless and weak. But… Lasting a moment? That is something I CAN admit to! .

[saramackenzie1982]

There's so much more to it. I'm a people pleaser, so I learned to be observant. After learning boundaries, I used this empathy to reach you. As an author, that means everything. #LiveFrom #TheOffice #MyLifeIsShapedByMyThoughts #ExperiencesShapeYou #PeoplePleaser #Empaths #NarcissisticAbuse #GenerationalTrauma #VerbalAbuse #PhysicalAbuse #Observant #DarkSideOfNice #TheHorror #WhatDoesntKillYouMakesYouStronger #ItsOkToRest #Hibernation #DepressionAnxiety #IndieAuthors #LocalAuthor #NewBritain https://www.instagram.com/p/CpfoYY6LPPW/?igshid=NGJjMDIxMWI=

[inksx]

[ccrv-7]

EPIC BESTIE WIN: guy who i may or may not have a crush on but outside of that also just really genuinely like and enjoy hanging out with just confirmed that i am indeed his favorite in the friendgroup (he didnt phrase it like that but thats how im choosing to interpret it)

[toad-counselling-ltd]

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#mentalhealth #mentalhealthmatters #mentalhealthawareness #counselling #psychotherapy #therapy #self #selflove #selfcare #slelfimprovment #journey #understanding #anxiety #depression #depressionanxiety #PTSD #ptsdawareness #cptsd

[datamanagement3]

my week 3 assignment

In this assignment you will find three data managed variables, provided from NESARC codebook, as frequency distributions. For the variable ‘AGE’.

I split the ages of the observations into four categories (18-21, 21-24, 24-27, 27-30) in order to examine the age frequency distribution of the sample into quartiles. I included missing data in the cannabis use variable distribution for ages 18 to 30, with the row ‘Unknown’ set to ‘nan’. In addition, after recoding variable ‘S3BD5Q2E’, which represents average rate of cannabis use, I created a new variable called ‘CUFREQMO’ that indicates how many days an individual used cannabis per month, and when using the most. I ran frequency distribution for the variable ‘CUFREQMO’ and calculated the counts and the percentages of this use per month. I then created a secondary variable with the name ‘NUMJOPMOTH_EST’.  This variable estimates the quantity of cannabis joints smoked per month for the first 30 participants (18-30) when using the most by multiplying the amount of joints smoked per day (variable ‘S3BQ4’) with the variable ‘CUFREQMO’, which indicates the number of days an individual smoked per month. I finished with the creation of one more variable called ‘NUMMDGENANX’ that stands for the total number of participants who were diagnosed with either major depression, general anxiety or both.  After examining the frequency distribution of the variable, I used the define function to create the last variable with the name ‘DEPRESSIONANXIETY’, which characterizes the mental state of the first 30 random cannabis users aged 18 to 30, as far as these two disorders are concerned. For the code and the output I used Spyder (IDE).

CODE

OUTPUT

First, a new variable called ‘AGE4GROUPS’ was necessary to be created in order to divide the participants ages between 18 and 30 years old, into four age groups: 18-21, 21-24, 24-27 and 27-30. From the frequency distribution it is noticed that about 30.73% were between 18 and 21 years old, 23.78% were between 21 and 24, 20.65% fell into 24-27 group and 24.82% fell into 27-30 group.

For the frequency distribution of variable ‘S3BQ1A5′, the missing data is included and option 9 is set to ‘NaN’ which represents the choice ‘Unknown’. As we can see the number of the missing data is 81 individuals and the proportion is 0.84% which is significantly small. Regarding the new variable with the name ’CUFREQMO’ which I created, the distribution results shows that about 15.96% smoked cannabis less than once per year, whereas approximately 22.13% used to smoke cannabis on an everyday basis. The rest of the cannabis use rates vary from about 2.65% for less than once per month to 11.6% for an average use of 6 times per month.

The new variable ‘NUMJOPMOTH_EST’  I created shows that the output illustrates the estimation of the quantity of joints smoked by those age 18 to 30 per month, by multiplying the quantity of joints smoked per day with the total number of days that they used cannabis per month. By examining the first 30 observations of the sample, it is noticeable  the majority of these individuals smoked approximately less than 10 joints per month. With that said, there were also some participants who were smoking more than 100 joints monthly. Since the individuals with ID numbers 511 and 506 for example, peaked at 180 and 150 joints per month.

As for the new secondary variable ‘NUMMDGENANX’ is concerned, it is obvious that around 77% of cannabis users age between 18 and 30 were mentally healthy in the last 12 months after using marijuana for more than 1 year, while a percentage of 21.07% were diagnosed with either major depression or general anxiety. Only 1.91% of them were diagnosed with both depression and anxiety. Lastly, regarding the first 30 observations table presented in the end, the define function used, returns 0 if an individual had no problem with either depression or anxiety in the last 12 months, 1 if an individual met the criteria for both disorders, 2 if an individual was diagnosed only with major depression and 3 if an individual was diagnosed only with general anxiety. For the results, a new variable named ‘DEPRESSIONANXIETY’ was created.

[blogmahbuttitches]

The 5 D's of Dodgeball, Daina, and MahButtItches

@mah_butt_itches Anxiety Dysphoria Depression Sedation. Trying your best will always be more then good enough. I do not know whats gotten so many lives blowing up but kudos to everybody dodging, ducking, diving, dipping, and dodging. I will just keep doing my best too. Regardless of what my brain or life want to do. #mahbuttitches #recoveryispossible #mentalwellness #depressionanxiety…

[musicbykg]

I just found out that if your mother doesn't breastfeed you in the first few days of life you will experience a profound level of grief for most of your life. Well that explains a lot.

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#kileza #grief # bodytalk #depression #DepressionAndAnxietyAwareness #depressionanxiety #lxndxn #anxiety

[amirrrrr1374]

Assignment(Week 3): Making Data Management Decisions

In this assignment you will find three data managed variables, provided from NESARC codebook, as frequency distributions. For the variable ‘AGE’, I decided to split the ages of the observations in four categories (18-21, 21-24, 24-27, 27-30), in order to examine the age frequency distribution of the sample into quartiles. Furthermore, I included missing data in the cannabis use variable distribution for ages 18 to 30, with the row ‘Unknown’ set to ‘nan’. In addition, after recoding variable ‘S3BD5Q2E’, which represents average rate of cannabis use, I created a new variable called ‘CUFREQMO’ that indicates how many days an individual used cannabis per month, when using the most. Moreover, once I ran frequency distribution for the variable ‘CUFREQMO’ and calculated the counts and the percentages of this use per month, I created a secondary variable with the name ‘NUMJOPMOTH_EST’. This variable estimates the quantity of cannabis joints smoked per month for the first 30 participants (18-30) when using the most, by multiplying the amount of joints smoked per day (variable ‘S3BQ4’) with the variable ‘CUFREQMO’, which indicates the number of days an individual smoked per month. I finished with the creation of one more variable called ‘NUMMDGENANX’ that stands for the total number of participants who were diagnosed with either major depression, general anxiety or both illnesses. After examining the frequency distribution of this variable, I used the define function to create one last variable with the name ‘DEPRESSIONANXIETY’, which characterizes the mental state of the first 30 random cannabis users aged 18 to 30, as far as these two disorders are concerned. For the code and the output I used Spyder (IDE).

Code:

Output:

Firstly, a new variable called ‘AGE4GROUPS’ was necessary to be created in order to divide participants, aged between 18 and 30 years old, into four age groups: 18-21, 21-24, 24-27 and 27-30. From the frequency distribution it can be noticed that about 30.73% were between 18 and 21 years old, 23.78% were between 21 and 24, 20.65% fell into 24-27 group and 24.82% fell into 27-30 group.

For the frequency distribution of variable ‘S3BQ1A5′ the missing data is included and option 9 is set to ‘NaN’, which represents the choice ‘Unknown’. As we can see the number of the missing data is 81 individuals and the proportion is 0.84% which is significantly small. Regarding the new variable with the name ’CUFREQMO’  which I created, the distribution results show that about 15.96% smoked cannabis less than once per year, whereas approximately 22.13% used to smoke cannabis in an everyday basis. The rest of the cannabis use rates vary from about 2.65% for less than once per month, to 11.6% for an average use of 6 times per month.

Taking into account the new variable ‘NUMJOPMOTH_EST’ which I created, the output illustrates the estimation of the quantity of joints smoked by young adults aged 18 to 30 per month, by multiplying the quantity of joints smoked per day with the total number of days that they used cannabis per month. By examining the first 30 observations of the sample, it is noticeable that the majority of individuals smoked approximately less than 10 joints per month. On the other hand there were also some participants who were smoking more than 100 joints monthly, since individuals with ID numbers 511 and 506 for example, peaked at 180 and 150 joints per month respectively.

Concerning the recently introduced secondary variable 'NUMMDGENANX,' it is evident that approximately 77% of young adults aged 18 to 30, who have used cannabis for over a year, maintained mental health in the last 12 months. Conversely, about 21.07% received diagnoses of either major depression or general anxiety, with only 1.91% being diagnosed with both mental disorders.

The final table, encompassing the initial 30 observations, employs the 'define' function. This function assigns a value of 0 if an individual had no issues with depression or anxiety in the last 12 months, 1 if an individual met the criteria for both disorders, 2 if diagnosed only with major depression, and 3 if diagnosed only with general anxiety. The outcomes are captured in a newly generated variable termed 'DEPRESSIONANXIETY.'

[saramackenzie1982]

I'M NOT THINKING OF UNALIVE. This is a tough day post. When you're an author, rejection is worn 98% of the time. Sometimes, it's too much. I hope you never give up on your dreams. More is on my blog here: https://www.saraelliemackenzie.com/post/it-s-a-tough-day #DepressionAnxiety #MentalHealthIsHealth #ItsMeToo #NarcissisticParent #DaughterDetox #ImLearning #SomeDaysAreBad #NoJudgments #AtlasShrugged #SpecialNeedsMom #TiredMom #TiredParents #NoEndInSight #LightAtTheEndOfTheTunnel #AnotherTomorrow #TryAgainTomorrow #YouNeverKnow https://www.instagram.com/p/CpOUMWPMa-q/?igshid=NGJjMDIxMWI=

[inksx]

[kcjhutchins]

Greetings and Salutations! TikTok reading the back of the book blurb. Hope you enjoy!

[stevieweevie71]

Part #7 #HaveFaith

@The Rock #therock #dwaynejohnson #dwaynejohnsontherock #therockfans #dwaynetherock #dwaynetherockjohnson #depression #itsgoingtobeok #itsgoingtobeokay #depressed #anxiety #depressio #depressionanxiety #GetHelp #staystrong #💪 "When it feels like you're in an AAMeeting listening to a guest speaker tell their story & you hear👂🏽yours also" #🙏 #fyp #fypage #fyi #🤯 #🧠 #xyzbca #xyzcba #xyzabc #publicserviceannouncement #menshealth #psychology #healthandwellness #mentalhealth #psychiatrist #mensmentalhealth #therapy #therapist #clinician #clinicians #homeless

#actor #blackactor #castingdirector #castingassistant #castingassociate #racism #unrequitedlove #grief #AlcoholicsAnonymous #GamblersAnonymous #foreclosure #CIA #rideshare #bankruptcy #divorce #eviction #homeless #homelessness #edmondsonvillage #bariatric #Baltimore #Maryland #21229 #dubai #🇦🇪 #newwayoflife

#infidelity #Criminalcharges #protectiveorder #divorce #bankrupt #bankruptcy (2nd) #foreclosure #3houses #racism #harassment #hostileworkenvironment #failuretoaccommodate #horriblebosses #cia #whistleblower #fired #yourfired #eeoc #ilostmycase #alcoholic #alcoholism #alcoholicsanonymous #aameeting #unrequitedlove #heartbroken #death #grief #gambling #eviction #gamblersanomymous #protectyourpeace #niceguysfinishlast #AA #AAmeeting #therapists #psychiatry #fypages