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Death in Malaysia

Penyakit jantung punca utama kematian lelaki dan kedua untuk perempuan di Malaysia.

Berhentilah merokok dan praktikkan gaya hidup sihat. Cegah penyakit.

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Mamak jadi kawasan larangan merokok?

Restoran Terbuka Akan Jadi Kawasan Larangan Merokok!

KUALA LUMPUR 5 Sept. – Mulai Disember tahun ini, semua restoran terbuka akan diisytiharkan sebagai kawasan larangan merokok.

Timbalan Menteri Kesihatan, Dr. Lee Boon Chye berkata, pihaknya masih dalam peringkat perbincangan dengan beberapa pihak berkepentingan berhubung cadangan berkenaan.

Katanya, langkah ini merupakan inisiatif kementerian bagi memperluaskan lagi kawasan larangan merokok di bawah Peraturan-Peraturan Kawalan Hasil Tembakau (Pindaan) 2017.

“Pewartaan ini adalah komitmen Malaysia sebagai negara anggota kepada Konvensyen Rangka Kerja Kawalan Tembakau dan mematuhi panduan di bawah Artikel 8, Pertubuhan Kesihatan Sedunia (WHO). Ia juga merupakan salah satu inisiatif kementerian untuk melindungi orang awam dari bahaya asap rokok.

“Saya memohon sokongan anda semua. Jika peraturan ini tidak dipatuhi, boleh dikenakan denda RM10,000 dan penjara tidak lebih dua tahun,” katanya sewaktu menggulung perbahasan usul menjunjung kasih titah ucapan Yang di-Pertuan Agong bagi Kementerian Kesihatan dalam sidang Dewan Negara di sini hari ini.

Tambah Boon Chye, selain restoran terbuka, pihaknya turut mencadangkan bilik merokok di Parlimen ditutup mulai Oktober ini bagi menjadikan keseluruhan kawasan berkenaan sebagai bebas merokok. -UTUSAN ONLINE

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How data is helping us unravel the mysteries of the brain

Geneticist Steve McCarroll wants to make an atlas of all the cells in the human body so that we can understand in precise detail how specific genes work, especially in the brain. In this fascinating talk, he shares his team’s progress — including their invention of “Drop-seq,” a technology that allows scientists to analyze individual cells at a scale that was never before possible — and describes how this research could lead to new ways of treating mental illnesses like schizophrenia.

The talk transcript:

Nine years ago, my sister discovered lumps in her neck and arm and was diagnosed with cancer. From that day, she started to benefitfrom the understanding that science has of cancer. Every time she went to the doctor, they measured specific molecules that gave them information about how she was doing and what to do next. New medical options became available every few years. Everyone recognized that she was struggling heroically with a biological illness. This spring, she received an innovative new medical treatment in a clinical trial. It dramatically knocked back her cancer. Guess who I’m going to spend this Thanksgiving with? My vivacious sister, who gets more exercise than I do, and who, like perhaps many people in this room, increasingly talks about a lethal illness in the past tense.Science can, in our lifetimes — even in a decade — transform what it means to have a specific illness.

But not for all illnesses. My friend Robert and I were classmates in graduate school. Robert was smart, but with each passing month,his thinking seemed to become more disorganized. He dropped out of school, got a job in a store … But that, too, became too complicated. Robert became fearful and withdrawn. A year and a half later, he started hearing voices and believing that people were following him. Doctors diagnosed him with schizophrenia, and they gave him the best drug they could. That drug makes the voices somewhat quieter, but it didn’t restore his bright mind or his social connectedness. Robert struggled to remain connected to the worlds of school and work and friends. He drifted away, and today I don’t know where to find him. If he watches this, I hope he’ll find me.

Why does medicine have so much to offer my sister, and so much less to offer millions of people like Robert? The need is there. The World Health Organization estimates that brain illnesses like schizophrenia, bipolar disorder and major depression are the world’s largest cause of lost years of life and work. That’s in part because these illnesses often strike early in life, in many ways, in the prime of life, just as people are finishing their educations, starting careers, forming relationships and families. These illnesses can result in suicide; they often compromise one’s ability to work at one’s full potential; and they’re the cause of so many tragedies harder to measure: lost relationships and connections, missed opportunities to pursue dreams and ideas. These illnesses limit human possibilities in ways we simply cannot measure.

We live in an era in which there’s profound medical progress on so many other fronts. My sister’s cancer story is a great example, and we could say the same of heart disease. Drugs like statins will prevent millions of heart attacks and strokes. When you look at these areas of profound medical progress in our lifetimes, they have a narrative in common: scientists discovered molecules that matter to an illness, they developed ways to detect and measure those molecules in the body, and they developed ways to interfere with those molecules using other molecules — medicines. It’s a strategy that has worked again and again and again. But when it comes to the brain, that strategy has been limited, because today, we don’t know nearly enough, yet, about how the brain works. We need to learn which of our cells matter to each illness, and which molecules in those cells matter to each illness. And that’s the mission I want to tell you about today.

My lab develops technologies with which we try to turn the brain into a big-data problem. You see, before I became a biologist, I worked in computers and math, and I learned this lesson: wherever you can collect vast amounts of the right kinds of data about the functioning of a system, you can use computers in powerful new ways to make sense of that system and learn how it works. Today, big-data approaches are transforming ever-larger sectors of our economy, and they could do the same in biology and medicine, too. But you have to have the right kinds of data. You have to have data about the right things. And that often requires new technologies and ideas.And that is the mission that animates the scientists in my lab.

Today, I want to tell you two short stories from our work. One fundamental obstacle we face in trying to turn the brain into a big-data problem is that our brains are composed of and built from billions of cells. And our cells are not generalists; they’re specialists. Like humans at work, they specialize into thousands of different cellular careers, or cell types.

In fact, each of the cell types in our body could probably give a lively TED Talk about what it does at work. But as scientists, we don’t even know today how many cell types there are, and we don’t know what the titles of most of those talks would be. Now, we know many important things about cell types. They can differ dramatically in size and shape. One will respond to a molecule that the other doesn’t respond to, they’ll make different molecules. But science has largely been reaching these insights in an ad hoc way, one cell type at a time, one molecule at a time. We wanted to make it possible to learn all of this quickly and systematically.

Now, until recently, it was the case that if you wanted to inventory all of the molecules in a part of the brain or any organ, you had to first grind it up into a kind of cellular smoothie. But that’s a problem. As soon as you’ve ground up the cells, you can only study the contents of the average cell — not the individual cells. Imagine if you were trying to understand how a big city like New York works, but you could only do so by reviewing some statistics about the average resident of New York. Of course, you wouldn’t learn very much, because everything that’s interesting and important and exciting is in all the diversity and the specializations. And the same thing is true of our cells. And we wanted to make it possible to study the brain not as a cellular smoothie but as a cellular fruit salad, in which one could generate data about and learn from each individual piece of fruit.

So we developed a technology for doing that. You’re about to see a movie of it. Here we’re packaging tens of thousands of individual cells, each into its own tiny water droplet for its own molecular analysis. When a cell lands in a droplet, it’s greeted by a tiny bead, and that bead delivers millions of DNA bar code molecules. And each bead delivers a different bar code sequence to a different cell. We incorporate the DNA bar codes into each cell’s RNA molecules. Those are the molecular transcripts it’s making of the specific genes that it’s using to do its job. And then we sequence billions of these combined molecules and use the sequences to tell us which cell and which gene every molecule came from.

We call this approach “Drop-seq,” because we use droplets to separate the cells for analysis, and we use DNA sequences to tag and inventory and keep track of everything. And now, whenever we do an experiment, we analyze tens of thousands of individual cells. And today in this area of science, the challenge is increasingly how to learn as much as we can as quickly as we can from these vast data sets.

When we were developing Drop-seq, people used to tell us, “Oh, this is going to make you guys the go-to for every major brain project.”That’s not how we saw it. Science is best when everyone is generating lots of exciting data. So we wrote a 25-page instruction book,with which any scientist could build their own Drop-seq system from scratch. And that instruction book has been downloaded from our lab website 50,000 times in the past two years. We wrote software that any scientist could use to analyze the data from Drop-seq experiments, and that software is also free, and it’s been downloaded from our website 30,000 times in the past two years. And hundreds of labs have written us about discoveries that they’ve made using this approach. Today, this technology is being used to make a human cell atlas. It will be an atlas of all of the cell types in the human body and the specific genes that each cell type uses to do its job.

Now I want to tell you about a second challenge that we face in trying to turn the brain into a big data problem. And that challenge is that we’d like to learn from the brains of hundreds of thousands of living people. But our brains are not physically accessible while we’re living. But how can we discover molecular factors if we can’t hold the molecules? An answer comes from the fact that the most informative molecules, proteins, are encoded in our DNA, which has the recipes our cells follow to make all of our proteins. And these recipes vary from person to person to person in ways that cause the proteins to vary from person to person in their precise sequenceand in how much each cell type makes of each protein. It’s all encoded in our DNA, and it’s all genetics, but it’s not the genetics that we learned about in school.

Do you remember big B, little b? If you inherit big B, you get brown eyes? It’s simple. Very few traits are that simple. Even eye color is shaped by much more than a single pigment molecule. And something as complex as the function of our brains is shaped by the interaction of thousands of genes. And each of these genes varies meaningfully from person to person to person, and each of us is a unique combination of that variation. It’s a big data opportunity. And today, it’s increasingly possible to make progress on a scale that was never possible before. People are contributing to genetic studies in record numbers, and scientists around the world are sharing the data with one another to speed progress.

I want to tell you a short story about a discovery we recently made about the genetics of schizophrenia. It was made possible by 50,000 people from 30 countries, who contributed their DNA to genetic research on schizophrenia. It had been known for several years that the human genome’s largest influence on risk of schizophrenia comes from a part of the genome that encodes many of the molecules in our immune system. But it wasn’t clear which gene was responsible. A scientist in my lab developed a new way to analyze DNA with computers, and he discovered something very surprising. He found that a gene called “complement component 4” — it’s called “C4” for short — comes in dozens of different forms in different people’s genomes, and these different forms make different amounts of C4 protein in our brains. And he found that the more C4 protein our genes make, the greater our risk for schizophrenia.

Now, C4 is still just one risk factor in a complex system. This isn’t big B, but it’s an insight about a molecule that matters. Complement proteins like C4 were known for a long time for their roles in the immune system, where they act as a kind of molecular Post-it note that says, “Eat me.” And that Post-it note gets put on lots of debris and dead cells in our bodies and invites immune cells to eliminate them.But two colleagues of mine found that the C4 Post-it note also gets put on synapses in the brain and prompts their elimination. Now, the creation and elimination of synapses is a normal part of human development and learning. Our brains create and eliminate synapses all the time. But our genetic results suggest that in schizophrenia, the elimination process may go into overdrive.

Scientists at many drug companies tell me they’re excited about this discovery, because they’ve been working on complement proteins for years in the immune system, and they’ve learned a lot about how they work. They’ve even developed molecules that interfere with complement proteins, and they’re starting to test them in the brain as well as the immune system. It’s potentially a path toward a drug that might address a root cause rather than an individual symptom, and we hope very much that this work by many scientists over many years will be successful.

But C4 is just one example of the potential for data-driven scientific approaches to open new fronts on medical problems that are centuries old. There are hundreds of places in our genomes that shape risk for brain illnesses, and any one of them could lead us to the next molecular insight about a molecule that matters. And there are hundreds of cell types that use these genes in different combinations. As we and other scientists work to generate the rest of the data that’s needed and to learn all that we can from that data,we hope to open many more new fronts. Genetics and single-cell analysis are just two ways of trying to turn the brain into a big data problem.

There is so much more we can do. Scientists in my lab are creating a technology for quickly mapping the synaptic connections in the brain to tell which neurons are talking to which other neurons and how that conversation changes throughout life and during illness. And we’re developing a way to test in a single tube how cells with hundreds of different people’s genomes respond differently to the same stimulus. These projects bring together people with diverse backgrounds and training and interests — biology, computers, chemistry, math, statistics, engineering. But the scientific possibilities rally people with diverse interests into working intensely together.

What’s the future that we could hope to create? Consider cancer. We’ve moved from an era of ignorance about what causes cancer, in which cancer was commonly ascribed to personal psychological characteristics, to a modern molecular understanding of the true biological causes of cancer. That understanding today leads to innovative medicine after innovative medicine, and although there’s still so much work to do, we’re already surrounded by people who have been cured of cancers that were considered untreatable a generation ago. And millions of cancer survivors like my sister find themselves with years of life that they didn’t take for granted and new opportunities for work and joy and human connection. That is the future that we are determined to create around mental illness –one of real understanding and empathy and limitless possibility.

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Is Intermittent Fasting Really Helpful For Weight Loss?

Proponents of intermittent fasting say it can help regulate hormones and aid with fast, sustained weight loss.

But will it work for you?

Here, we explore some of the idea behind intermittent fasting and whether it’s an effective weight loss strategy.


Intermittent fasting is more about when you eat rather than what you eat. A typical plan puts you on a scheduled fasting phase followed by a non-fasting phase. The former is where you may skip meals or eat significantly fewer calories to generate the energy deficit needed for weight loss.

This allows more food flexibility and higher calorie goals in the latter phase.

A typical, calorie-restriction weight loss plan encourages a small daily restriction of 250–1,000 calories depending on how much weight you have to lose and how fast you want to lose it. While this may seem like a lot, it’s small compared to the thousands of calories slashed during the fasting phase of an intermittent fasting plan.


Intermittent fasting can be effective for weight loss although it’s not necessarily better than other methods, according to a 2015 review of 12 clinical trials. More recently, a 2017 randomized controlled trial of 100 healthy but obese adults found that after one year, weight loss was comparable between intermittent fasting and daily calorie restriction.

Choosing intermittent fasting over more traditional calorie restriction comes down to individual preference and biology. We are culturally conditioned to eat three square meals with snacks in between, but that doesn’t mean everyone thrives on this schedule. One person may claim skipping a meal gives them more energy while another goes hangry if they miss just one snack. Some people do better on daily calorie restriction because they like an incremental change and regular meals. Others may find daily restriction wears away their willpower, and they prefer intermittent fasting so they can front load their calorie restriction to just a few days.


Intermittent fasting can be a safe choice for weight loss, but it all depends on how you approach it and how your body responds. Some would suggest that fasting is not for everyone and you shouldn’t try intermittent fasting if you are pregnant, diabetic or healing from a traumatic event such as surgery. Critics of intermittent fasting also point out that all this emphasis on restriction can backfire and encourage binge and other disordered eating behaviors. Our physical and mental health histories are all different, so if you have trouble deciding whether intermittent fasting is for you, consult a healthcare professional. Generally speaking, though, there’s little evidence to say intermittent fasting isn’t safe for healthy adults who have a bit of weight to lose.

The human body is designed to deal with fasting. It did not evolve to have food every hour of the day. Fasting triggers hormonal changes that are beneficial for your body. When you fast, insulin levels drop, allowing your cells to release stored fat and use it more effectively. Fasting also stimulates a housekeeping process called “autophagy.” With no food around to process, your cells can use that spare time to remove damaged or misfolded proteins. It doesn’t matter if you choose intermittent fasting or daily calorie restriction, fasting for a few hours enables your body to fulfill this important task.

“Autophagy is the natural, regulated mechanism of the cell that disassembles unnecessary or dysfunctional components. Autophagy allows the orderly degradation and recycling of cellular components.”

It’s important to note that fasting is not the same as starvation. Going for days without eating or eating a very low-calorie diet indefinitely is not safe.


Daily calorie restriction may be easier since it’s the default setting and it’s no less effective than intermittent fasting. For those interested in giving intermittent fasting a try, here are three popular plans:


Also known as “eat stop eat,”  this plan involves fasting on 3–4 non-consecutive days per week. A 24-hour fasting phase is followed by a non-fasting day where you can eat as much as you’d like.


A 5:2 fasting plan means fasting on two non-consecutive days per week where you eat between 20–25% of your daily calorie needs. On non-fasting days you can eat normally.


With the Lean Gains and the Warrior Diet, you fast anywhere from 8–20 hours per day. You can eat freely during your non-fasting hours. Scheduling fasting hours overnight can make this plan easier.


There’s no one-size-fits-all diet for weight loss. Intermittent fasting can be helpful, but first consider whether it fits into the lifestyle you want to lead. If you try fasting and it’s not for you, cutting calories the old-fashioned way can still help you lose weight. Listen to your body, and pick the plan that works for you. Regardless, don’t forget calorie quality matters, too. As you’re losing pounds, nourish your body with nutrient-dense foods including fruits, veggies, grains, lean proteins and healthy fats.

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Bahaya mee segera

Tahukah anda,

Sila beri perhatian.!

Institut Jantung Negara (IJN) telah mengesyorkan agar rakyat Malaysia tidak terlalu memakan mee segera kerana ianya adalah penyebab penyakit jantung terutamanya oleh serbuk perasanya( seasoning powder)

Jika anda tidak boleh berbuat demikian, kurangkan separuh dari pengunaan serbuk perasa tersebut dan jangan hirup kuah sup selepas anda mengabiskan mee nya


Cara yang betul untuk memasak mee segera tanpa ia merosakkan badan dan kesihatan kita:

Biasanya, cara kita memasak mee segera ialah dengan meletakkan mee ke dalam periuk dengan air, kemudian mengisi serbuk seasoning dan biarkan bahan bahan tersebut dididih bersama selama 3 minit . Kemudian ia sudah sedia untuk dimakan.

Ini adalah kaedah memasak mee segera yang SALAH.

Dengan melakukan cara begitu, kita sebenarnya merebus bahan-bahan yang ada dalam serbuk perasa, terutamanya MSG, yang mana ia akan mengubah struktur molekul MSG dan menyebabkan MSG tersebut berubah menjadi toksik.

Perkara lain yang anda mungkin sedar atau mungkin tidak sedar adalah, mee itu disalut dengan lilin makanan dan mee tersebut akan mengambil masa 4 hingga 5 hari untuk dinyah keluar oleh badan kita selepas anda makan mi tersebut.


1. Rebus mee didalam periuk air.

2. Setelah mee dimasak, toskan mee, dan buang air tersebut yang telah mengandungi lilin.

3. Rebus air dalam periuk yg lain hingga mendidih, kemudian masukkan mee tadi ke dalam air mendidih panas itu dan matikan api.

4. Hanya pada tahap ini ketika api telah dimatikan, dan ketika air masih sangat panas, masukkan serbuk perasa ke dalam air tersebut, untuk membuat sup mee.

5. Sekiranya, jika anda inginkan mee kering, keluarkan mee dan masukkan serbuk perisa dan toskannya untuk mendapatkan mee kering.

Nota dari Pakar Pemakanan: Dietician.

Seandainya anda membeli mee hatta yabg kosong, biasanya apa yang anda perlu buat ialah anda mendidihkan air dan merebus mee tersebut dan kemudian membuang air. Proses Ini akan melembutkan mee tetapi untuk menghalangnya daripada melekat kita perlu menambah sesudu teh minyak kedalam air dan juga mee tersebut perlu di goreng deep fried setengah masak untuk memjadikan mee tersebut garing dan kemudian dilumur dengan tepung untuk mengelakkan nee tersebut daripada melekat semasa di rebus. Oleh itu, apabila anda membeli mee segera, ia telah melalui proses hingga tidak lagi makanan yg sihat dan ini jugalah jenis yang kami gunakan untuk membuat mee goreng dan Maggie juga dibuat dengan cara yang sama, malah ia ditambah dengan MSG / Ajinomoto dan bahan kimia lain.

Sejumlah besar pesakit yang berumur antara 18-24 tahun berakhir dengan pankreatitis sama ada sebagai bengkak atau jangkitan pankreas akibat dari penggunaan mee segera secara kerap.

Jika kekerapan lebih daripada 3 kali seminggu, maka ia sangat berbahaya …


MSG ialah Mono Sodium Glutamate sejenis bahan perasa yang mampu merangsang sistem saraf rasa dan otak yang menyebabkan ketagihan secara semulajadi..

AjiNoMoto, Vedan & lain-lain adalah jenama. Bahan yang sama iaitu MSG, Racun Perasa yang ada dalam setiap makanan segera.

Sebab tu bila kita makan makanan segera sampai satu tahap kita akan merasa muak tapi selepas bebrapa hari kita terasa nak makan atau masih boleh lagi makan dengan selera seolah-olah rasa muak tu tiada. kita mudah terangsang dan seolah-olah kita tak perasan ketagihan yang alami.

Walaubagaimana pun jangan risau.. ianya tidak membunuh kita secara mendadak.. insyaaALLAH ianya membunuh anda perlahan lahan.. jadi tiada masalah utk anda terus menikmatinya. Dan nikmatilah mati perlahan lahan tapi segera.

Jenis racun atau bahan kimia yang mampu membunuh kita perlahan2 yang ada dalam setiap makanan yg kita makan setiap hari..

1- Perasa
2- Pewarna
3- Penaik
4- Penstabil
5- Pemanis
6- Pengawet

Sila berkongsi maklumat ini dan membantu menyelamatkan nyawa.

Kredit : Ridzal Osman

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Salahkah Aku Gemuk…


Hadis di atas ada dalam Sahih al-Bukhari dan Muslim. Di bawah adalah teks daripada Sahih al-Bukhari.

Daripada Imran bin Hussain r.a, Nabi s.a.w bersabda:

“‏ خَيْرُ أُمَّتِي قَرْنِي ثُمَّ الَّذِينَ يَلُونَهُمْ ثُمَّ الَّذِينَ يَلُونَهُمْ ‏”‏‏.‏ قَالَ عِمْرَانُ فَلاَ أَدْرِي أَذَكَرَ بَعْدَ قَرْنِهِ قَرْنَيْنِ أَوْ ثَلاَثًا ‏”‏ ثُمَّ إِنَّ بَعْدَكُمْ قَوْمًا يَشْهَدُونَ وَلاَ يُسْتَشْهَدُونَ، وَيَخُونُونَ وَلاَ يُؤْتَمَنُونَ، وَيَنْذُرُونَ وَلاَ يَفُونَ، وَيَظْهَرُ فِيهِمُ السِّمَنُ ‏”‏‏.‏
Sebaik-baik umat ku adalah kurun ku. Seterusnya yang mengikuti mereka, seterusnya yang mengikuti mereka. Imran berkata: Aku tidak tahu adakah baginda menyebutkan dua atau tiga kurun selepas kurunnya. (Baginda bersabda lagi): Sesungguhnya selepas kalian akan muncul kaum yang bersaksi tanpa diminta memberi persaksian, khianat dan tidak amanah, bernazar dan tidak menunaikannya, KEGEMUKAN akan terzahir daripada mereka.
[Sahih al-Bukhari, Kitab Fadhail Ashab an-Nabiy, hadis no: 3650].

Sifat gemuk tidak digalakkan kerana ia lazimnya membawa kepada malas untuk beribadah kepada Allah. Apatah lagi sifat gemuk ini kebiasaannya akan membawa kepada masalah kesihatan yang lain.

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Salahkah Aku Gemuk…


Hadis di atas ada dalam Sahih al-Bukhari dan Muslim. Di bawah adalah teks daripada Sahih al-Bukhari.

Daripada Imran bin Hussain r.a, Nabi s.a.w bersabda:

“‏ خَيْرُ أُمَّتِي قَرْنِي ثُمَّ الَّذِينَ يَلُونَهُمْ ثُمَّ الَّذِينَ يَلُونَهُمْ ‏”‏‏.‏ قَالَ عِمْرَانُ فَلاَ أَدْرِي أَذَكَرَ بَعْدَ قَرْنِهِ قَرْنَيْنِ أَوْ ثَلاَثًا ‏”‏ ثُمَّ إِنَّ بَعْدَكُمْ قَوْمًا يَشْهَدُونَ وَلاَ يُسْتَشْهَدُونَ، وَيَخُونُونَ وَلاَ يُؤْتَمَنُونَ، وَيَنْذُرُونَ وَلاَ يَفُونَ، وَيَظْهَرُ فِيهِمُ السِّمَنُ ‏”‏‏.‏
Sebaik-baik umat ku adalah kurun ku. Seterusnya yang mengikuti mereka, seterusnya yang mengikuti mereka. Imran berkata: Aku tidak tahu adakah baginda menyebutkan dua atau tiga kurun selepas kurunnya. (Baginda bersabda lagi): Sesungguhnya selepas kalian akan muncul kaum yang bersaksi tanpa diminta memberi persaksian, khianat dan tidak amanah, bernazar dan tidak menunaikannya, KEGEMUKAN akan terzahir daripada mereka.
[Sahih al-Bukhari, Kitab Fadhail Ashab an-Nabiy, hadis no: 3650].

Sifat gemuk tidak digalakkan kerana ia lazimnya membawa kepada malas untuk beribadah kepada Allah. Apatah lagi sifat gemuk ini kebiasaannya akan membawa kepada masalah kesihatan yang lain.