Wednesday, September 26, 2018

A beginner’s guide to standard deviation and standard error

What is standard deviation?

Standard deviation tells you how spread out the data is. It is a measure of how far each observed value is from the mean. In any distribution, about 95% of values will be within 2 standard deviations of the mean.

 

How to calculate standard deviation

Standard deviation is rarely calculated by hand. It can, however, be done using the formula below, where x represents a value in a data set, μ represents the mean of the data set and N represents the number of values in the data set.

The steps in calculating the standard deviation are as follows:

  1. For each value, find its distance to the mean
  2. For each value, find the square of this distance
  3. Find the sum of these squared values
  4. Divide the sum by the number of values in the data set
  5. Find the square root of this

 

What is standard error?

When you are conducting research, you often only collect data of a small sample of the whole population. Because of this, you are likely to end up with slightly different sets of values with slightly different means each time.

If you take enough samples from a population, the means will be arranged into a distribution around the true population mean. The standard deviation of this distribution, i.e. the standard deviation of population means, is called the standard error.

The standard error tells you how accurate the mean of any given sample from that population is likely to be compared to the true population mean. When the standard error increases, i.e. the means are more spread out, it becomes more likely that any given mean is an inaccurate representation of the true population mean.

 

How to calculate standard error

Standard error can be calculated using the formula below, where σ represents standard deviation and n represents sample size.

 

Standard error increases when standard deviation, i.e. the variance of the population, increases. Standard error decreases when sample size increases – as the sample size gets closer to the true size of the population, the sample means cluster more and more around the true population mean.

 

Images:

Image 1: Dan Kernler via Wikipedia Commons: https://commons.wikimedia.org/wiki/File:Empirical_Rule.PNG 

Image 2: https://www.khanacademy.org/math/probability/data-distributions-a1/summarizing-spread-distributions/a/calculating-standard-deviation-step-by-step

Image 3: https://toptipbio.com/standard-error-formula/

 

Sources:

http://www.statisticshowto.com/probability-and-statistics/standard-deviation/

 http://www.statisticshowto.com/what-is-the-standard-error-of-a-sample/

 https://www.statsdirect.co.uk/help/basic_descriptive_statistics/standard_deviation.htm

 https://www.bmj.com/about-bmj/resources-readers/publications/statistics-square-one/2-mean-and-standard-deviation

 

 

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11 Ways To Help Curb Your Shopping Habit

If you find yourself constantly regretting purchases, try these methods to cut down on impulse buys and refocus your finances to paying off your loans faster.

The post 11 Ways To Help Curb Your Shopping Habit appeared first on Earnest Blog | Money Advice for Young Professionals.

Tuesday, September 25, 2018

Expiratory Muscle Training in Spinal Cord Injury

This blog is a critical appraisal of the following randomized controlled trial: Expiratory Muscle Training in Spinal Cord Injury.

Background

Following a high spinal cord injury (SCI), patients can go on to develop respiratory complications. This can be a major source of morbidity and mortality. It was found that the occurrence of complications is 36% to 86% (Vázquez et al., 2013). This happens because the muscles used for breathing are weaker and the effectiveness of the patients breathing will be reduced. The patients’ ability to cough strongly to clear their lungs can also be impaired. These factors could result in a lung collapse (atelectasis) or infection in the lungs (pneumonia).

The study

This study was designed to investigate if expiratory muscle training on the pulmonary function of spinal cord injured patients would be effective. The researchers recruited 52 participants for this trial. However, 23 withdrew which left only 29. The criteria for the study were; patients between the ages of 16-60 who had recent traumatic or motor complete SCI at or above level T1.

The participants’ pulmonary function was to be monitored before and after the study. Several outcome measures were used to ensure a comprehensive assessment of lung function. These were;

  • Forced vital capacity (FVC)
  • Forced expiratory volume in 1 second (FEV1)
  • Maximum expiratory pressure (MEP)
  • Maximum inspiratory pressure (MIP)
  • Inspiratory capacity (IC)
  • Expiratory reserve volume (ERV)
  • Total lung capacity (TLC)
  • Functional residual capacity (FRC)
  • Residual volume (RV)

The participants were randomly assigned to either an active training or a sham training group. (Active n=16, sham n=13).

The intervention group received training through the use of a Boehringer high pressure inspiratory force meter. The participants were seated with the device in their hands. They were instructed to breathe out into the tube. The training groups’ device had a closed end which created a resistance to the force of their exhalation. The sham group used an open-ended gauge. The technicians who were recording the readings from the gauge and those reading the tests were blinded to which group the participant was a part of. The paper does not however mention if the participants were blinded.

The treatment was to be completed for 10 repetitions, twice a day, 5 days a week for 6 weeks. Each session was supervised.

Results

A comparison of pulmonary function at baseline and after the 6 weeks of treatment found that some of the key indicators general respiratory and expiratory function improved. However, a multivariate analysis failed to show any significant differences between the active and sham group on all but one of the outcome measures.

The study found that there were improvements in many of the tests in both groups. Significant improvements were noted in the training group in FVC, FEV1, ERV, MEP and maximum inspiratory pressure.

Limitations and strengths of the study

To assist in the assessment of the reliability of this study the Understand health research tool was used.

When the study initially began there were 52 participants enrolled. However, a total of 23 participants ended up withdrawing which resulted in a rather small sample size of 29. The paper does not mention in depth why they withdrew but stated a majority were due to medical complications. This potentially influenced the final results following the treatment as no significant differences were found between the two groups.

Bias was reduced in this trial using blinding and random organisation of the participants into the groups. However, it does not state how the randomisation of the groups took place.

The authors themselves admit the study limitations. There could have been the need for a control group that received no intervention at all to be able to compare how the pulmonary function changes over time, and whether the improvements in the sham group were due to natural healing over time. Research has found that improvements in lung function will occur within the first year post SCI and improvements may occur spontaneously (Zimmer et al., 2007). However, a study found that resistive muscle training in patients with a chronic SCI decreased the incidence of pulmonary complications (Rutchik et al., 1998).

During the trial no patients were lost to follow-up. This also means that as no data would be recorded as missing there is no requirement for an intention-to-treat analysis. Only one of the outcome measures (MEP) had a statistically significant improvement as its p value was <0.05 in both groups. This therefore shows that the training answered the question as the training was specific to expiratory muscles and this outcome measure had the most significant improvement.

Conclusion

This study found that there were no significant differences between the active and sham training groups following 6 weeks of expiratory muscle training. However, there were improvements in many aspects of pulmonary function in both groups. Further research is needed as this study was limited in its sample size and lack of a control group that should receive no training.

References

The post Expiratory Muscle Training in Spinal Cord Injury appeared first on Students 4 Best Evidence.

Life After Recovery: The need for spotlight on aftercare in addictions research

In popular Western culture, recovery from addiction is imagined a lot like the final scene of a romantic comedy. Following some obstacles, a couple finally discovers their love, embraces, and the screen fades to black. Similarly, when many people think of recovery, they imagine someone who struggled to get sober, and (after some trials and tribulations) is finally free to live a happy, healthy life – cue the rolling credits!

In both cases, there’s a question begging to be asked:

What happens after the happy ending?

The hard reality when it comes to substance use disorders is that they often affect the people that were already the most vulnerable to begin with. This includes people with adverse childhood experiences, comorbid mental illnesses like depression, or from lower-income neighborhoods [1]. It also means that many of the people who complete residential treatment programs do not have the resources to simply ‘return’ to a healthy lifestyle. The substance may no longer be a physical part of a recoveries’ life, but many of the social, financial and psychological stressors which triggered their substance use still are. This, compounded by the stigma associated with prior substance use, might be why 40–60% of all recoveries will experience relapse [2].

From here, it may seem obvious that there should be some focus on “aftercare” (ongoing or follow-up treatment for substance abuse that occurs after an initial rehab program) [3] in addictions treatment. This can include programs addressing basic needs like housing and employment, or programs addressing social and spiritual needs like those related to exercise and the arts [4]. For example, physical exercise following completion of a treatment program has been shown to significantly improve chances of sustained abstinence [5]. This suggests that aftercare exercise programs could be a meaningful addition to residential addictions treatment, providing a gateway to healthy habits, a sense of community, and preventing relapse. However, compared to questions concerning substance use prevention and active treatment, aftercare is virtually unchartered territory in the world of evidence-based medicine.

Researchers rarely ask questions beyond simply the events leading up to recovery, and aftercare programs are more often a product of individual consideration than relevant research.

There are, therefore, a number of pressing questions addictions researchers should be asking: After completing residential addictions treatment, what types of housing, employment and community programs minimize the chance of relapse? Which aftercare programs are the most effective in producing long-term recovery, sense of community, and a healthy lifestyle? And how can aftercare programs be catered to best support different types of recoveries? Only when we start to consider these questions can those happy endings perhaps finally become a reality.

References

  1. Substance Abuse and Mental Health Services Administration (SAMHSA). (Last updated: 13 August 2013) “Risk and Protective Factors.” Retrieved from: https://www.samhsa.gov/capt/practicing-effective-prevention/prevention-behavioral-health/risk-protective-factors
  2. National Institute on Drug Abuse (NIDA). (last updated July 2018). “Drugs, Brains, Behaviour: The Science of Addiction.” Retrieved from: https://www.drugabuse.gov/publications/drugs-brains-behavior-science-addiction/treatment-recovery
  3. Patterson, E. “Importance of Aftercare Programs.” Rehabs.com. (n.d) Retrieved from: https://www.rehabs.com/about/aftercare-programs-drug-addiction-recovery/
  4. White, William L. “The mobilization of community resources to support long-term addiction recovery.” Journal of substance abuse treatment (2009);36(2):146-158. Available from: https://europepmc.org/abstract/med/19161895
  5. Morais, APD. et al. “The neurobiological mechanisms of physical exercise in methamphetamine addiction.” CNS Neurosci Ther. (2018);24(2):85-97. Available from: https://www.ncbi.nlm.nih.gov/m/pubmed/29266758/

 

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Wednesday, September 19, 2018

Monday, September 17, 2018

How Much Should I Put into My Emergency Fund?

We asked financial experts to tell us how much should be in your emergency fund and how to be smart about that money once it’s in there.

The post How Much Should I Put into My Emergency Fund? appeared first on Earnest Blog | Money Advice for Young Professionals.

Wednesday, September 12, 2018

Working in the Social Impact Sector with Student Loans

Social sector work is often seen as noble, but not always the most lucrative career path. Amy Chou has worked in both the private sector and social sector, and would be the first to tell you she personally finds mission-driven work more fulfilling since making the switch two years ago. After years of working in […]

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Monday, September 10, 2018

Thursday, September 6, 2018

Earnest Summer Interns: Class of 2018

Before they headed back to school, we asked our interns about their experience and how this summer at Earnest has impacted their future goals.

The post Earnest Summer Interns: Class of 2018 appeared first on Earnest Blog | Money Advice for Young Professionals.

Tuesday, September 4, 2018

Understanding Parent PLUS Loan Forgiveness Programs

Large education bills can be a heavy burden on parents. However, you may have some options available for Parent PLUS loan forgiveness or refinancing. 

The post Understanding Parent PLUS Loan Forgiveness Programs appeared first on Earnest Blog | Money Advice for Young Professionals.

Psychological therapies for treatment-resistant depression in adults

What is Treatment Resistant Depression?

To give an idea of the prevalence of depression (also known as unipolar, or major depression) Papadimitropoulou et al (2017) states that in a lifetime depression affects around 15% of the general population of high-income countries and 11% of low-income countries. According to the World Health organisation there were 300 million people living with depression in 2017, an increase of more than 18% since 2005 (WHO, 2017).

The Diagnostic and Statistical Manual of Mental Disorders, fifth edition, (DSM-V) characterises depression as having symptoms such as depressed mood, loss of pleasure or interest in doing things, significant weight loss or weight gain, insomnia or hypersomnia, as well as many others, persistent over the course of two weeks and not attributable to any other cause e.g. another medical condition. The first line treatment for adults presenting with these symptoms are antidepressants; which do not come without side effects (NICE, 2009), unfortunately 10-30% (Al-Harbi, 2012) of people with depression do not respond to this treatment and are considered to be ‘treatment resistant’ (Balestri et al, 2016).

There is disagreement about the definition of treatment resistant depression (TRD). Descriptions range from a non-response to a single antidepressant all the way to a lack of response to multiple antidepressants of different classes and combinations.  Worryingly, the prevailing definitions of TRD do not include a lack of response to psychological treatments. TRD has been associated with lower quality of life and poorer outcomes compared to their non-resistant counterparts (Eisendrath et al, 2015); this fact, and the prevalence of depression, reflects the importance of further investigation.

“Worryingly, the prevailing definitions of treatment-resistant depression do not include a lack of response to psychological treatments”

So, what’s the next step?

Once a person is identified as having unipolar TRD, NICE guidelines (2009) recommend increasing the dose of antidepressant, switching to a different antidepressant, or trying another pharmacological or psychological approach. To give an idea of what this may involve, selective serotonin reuptake inhibitors are the current first choice of antidepressant drugs, followed by serotonin and noradrenaline reuptake inhibitors. Others include monoamine oxidase inhibitors and tricyclic antidepressants. Some non-pharmacological treatments besides psychological therapy are electroconvulsive therapy (a last resort treatment) and transcranial magnetic stimulation (Papadimitropoulou et al, 2017). That’s a lot of options and combinations. There is also research investigating the possibility of other drugs to alleviate TRD symptoms, one such drug is ketamine. Interesting, but what about psychological therapy?

Psychological therapies

The report of the Special Rapporteur, UN Human Rights Council, stated in 2017:

While psychotropic medications can be helpful, not everyone reacts well to them and in many cases they are not needed. Prescribing psychotropic medications, not because they are needed, but because effective psychosocial and public health interventions are not available, is incompatible with the right to health (Puras, 2017)

The Cochrane review ‘Psychological therapies for treatment-resistant depression in adults’ (Ijaz, Davis, Williams, Kessler, Lewis & Wiles, 2018) synthesised evidence from primary studies investigating psychological therapies and TRD. The psychological interventions included in the review are: cognitive behavioural therapy (CBT) which focuses on unrealistic, unhelpful thoughts and maladaptive patterns of behaviour; dialectical behavioural therapy based on CBT but has been adapted to help individuals who feel emotions more intensely; interpersonal therapy, a form of psychotherapy focused on relationships with others; and intensive short-term dynamic psychotherapy, a form of psychotherapy used to treat a broad range of emotional disorders.

Six randomised controlled trials were included with a total of 698 participants, aged 18 to 74. Each person had a diagnosis of unipolar depression that had not responded to antidepressants at the recommended dose over a minimum of four weeks. All included studies compared usual care alongside psychological therapy to usual care alone. The results of this review show there is moderate-quality evidence that, given in addition to usual care, psychological therapy produced improvements in depressive symptoms for people with TRD over the short term (up to six months). Low-quality evidence shows lower depression scores over 12 and 46 months. Two of the studies reported serious adverse effects in the usual care group: one suicide, one hospitalisation and two people experienced worsening of symptoms. There were no reports of adverse effects in the intervention groups.

The review comments that studies involving participants with co-morbid physical and psychological disorders were included so long as the psychological therapy was being primarily used to manage TRD not the co-morbidity. Mental disorders are complex and depression is often accompanied by other disorders such as anxiety. Ignoring the co-morbid disorder and asserting that the treatment will only affect the TRD symptoms is difficult to justify.

Outcomes were measured by rating scales for depression using either clinician rated scales such as the Hamilton rating scale for depression (Hamilton, 1960); Montgomery-Asberg Depression rating Scale (Montgomery, 1979); or self-report rated scales (Beck Depression Inventory, Beck 1961, Beck 1996). These outcomes may not accurately reflect an individual’s progress for two reasons. The first is that self-report can be an unreliable impression because in psychological interventions it is very difficult to blind patients and therapists to the intervention being provided, therefore all six included studies were at high risk of performance bias. The second reason is that in purely quantitative measures the nuances of symptom improvement are missed. The scores of an individual may not have markedly changed but that does not mean that there has been no improvement. Depression as a disorder can have deep rooted causes and it may be that more time is required, or a different psychological therapy is needed for that unique individual.

The results of the review should be applied cautiously as three of the six studies were small, recruiting less than 50 participants and most participants in the review overall were women. Nakagawa (2017) was the only included study that recruited more men than women. This gender imbalance may reflect the higher risk of depression in females (see Kuehner, 2003). Three of the studies used CBT, making that particular therapy over represented in the sample. Finally, it may not be appropriate to compare cognitive behaviour therapy outcomes with interpersonal therapy outcomes or dialectical behavioural therapy outcomes as each psychological therapy has been developed to address a specific need, not to be broadly applied to every symptom.

Conclusions

The Cochrane review concludes that the addition of psychological therapy to usual care is beneficial for people with TRD over the short term. Further evidence is needed on the effectiveness of different types of psychological therapies for people with TRD and there is currently a gap in the evidence as to whether switching to psychological therapy alone is more beneficial than continuing with antidepressants.

The fact that antidepressants are a first line treatment for depression and that psychological therapy is not even considered by definitions of TRD is indicative of a standardised medical model treatment programme for unipolar depression regardless of potential co-morbidities or contributing psychosocial or environmental factors. Much more research needs to be done with regards to types of psychological therapies and the specifics of individual symptoms and co-morbidities to enable a freedom of informed choice for patients and effective treatment.

For me as a student, this review has highlighted two elements. The first is the importance of doing systematic reviews because they highlight gaps in research which are potentially of great importance. The second is that when it comes to the issue of appropriate mental health treatments there is still a long way to go, but the work has begun and that’s an exciting prospect for the future of mental health treatment.

References

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